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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1623772</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1623772</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
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</article-categories>
<title-group>
<article-title>Triterpenes in breast cancer: a systematic review of preclinical evidence in rodents</article-title>
<alt-title alt-title-type="left-running-head">Prodea et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1623772">10.3389/fphar.2025.1623772</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Prodea</surname>
<given-names>Alexandra</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Munteanu</surname>
<given-names>Andreea</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<contrib contrib-type="author">
<name>
<surname>Jorgovan</surname>
<given-names>Mihaela</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Batrina</surname>
<given-names>Oana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<name>
<surname>Mioc</surname>
<given-names>Marius</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Soica</surname>
<given-names>Irina</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Trandafirescu</surname>
<given-names>Cristina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Soica</surname>
<given-names>Codruta</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<sup>2</sup>
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<aff id="aff1">
<label>1</label>
<institution>Faculty of Pharmacy, Victor Babes University of Medicine and Pharmacy</institution>, <city>Timisoara</city>, <country country="RO">Romania</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Research Center for Experimental Pharmacology and Drug Design (X-Pharm Design), Victor Babes University of Medicine and Pharmacy</institution>, <city>Timisoara</city>, <country country="RO">Romania</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Medical School, University College London</institution>, <city>London</city>, <country country="GB">United Kingdom</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Andreea Munteanu, <email xlink:href="andreea.milan@umft.ro">andreea.milan@umft.ro</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-14">
<day>14</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1623772</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>09</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Prodea, Munteanu, Jorgovan, Batrina, Mioc, Soica, Trandafirescu and Soica.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Prodea, Munteanu, Jorgovan, Batrina, Mioc Soica, Trandafirescu and Soica</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-14">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Breast cancer poses a significant health problem for women worldwide due to late-stage diagnosis, toxicity of standard therapy and drug resistance. Several therapeutic alternatives, including triterpenes, show promising therapeutic potential and reduced toxicity <italic>in vitro</italic> and <italic>in vivo</italic> models.</p>
</sec>
<sec>
<title>Methodology</title>
<p>We aimed to systematically review the data provided by rodent models of breast cancer regarding the anticancer effect, mechanisms of action and safety of triterpenes to assess if clinical translation to human studies is supported by current evidence. After a two-phase screening process, our search of PubMed/Medline, Web of Science (WOS) and Scopus databases yielded 163 articles that were included in the analysis.</p>
</sec>
<sec>
<title>Results and discussions</title>
<p>Triterpenes were used in free form, semisynthetic derivatives (triterpenoids), cotreatment with other drugs or formulated as liposomes, micelles and nanoparticles (NPs). The vote-counting analysis showed a superior effect of triterpenes compared to controls in terms of tumor volume and weight reduction, findings also confirmed by a sensitivity analysis. We also searched for possible sources of heterogeneity in the studies assessed by analyzing several subgroups, which provided valuable information. They exerted their effect through various mechanisms such as apoptosis induction, metastasis and angiogenesis inhibition and decreased several cancer biomarkers such as ki-67, proliferating cell nuclear antigen (PCNA) and matrix metalloproteinases (MMP). The toxicity assessment revealed that triterpenes have in general, insignificant or absent toxicity, with only a small number of studies reporting serious side effects such as leukopenia, hepatotoxicity and mortality at specific doses that were reversed in some cases by the use of carriers, which hold the potential to enhance the therapeutic effect of triterpenes while reducing their systemic toxicity.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>We concluded that the current <italic>in vivo</italic> evidence does not support the clinical translation of triterpenes for the treatment of breast cancer due to methodological and clinical heterogeneity as well as the lack of toxicity data in a significant number of studies. Nonetheless, this field holds great potential for clinical translation, which could be attained through more rigorous methodologies and the collection of comprehensive experimental data.</p>
</sec>
</abstract>
<kwd-group>
<kwd>triterpene</kwd>
<kwd>triterpenoid</kwd>
<kwd>breast cancer</kwd>
<kwd>rodents</kwd>
<kwd>mice</kwd>
<kwd>rat</kwd>
<kwd>
<italic>in vivo</italic>
</kwd>
<kwd>anticancer</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. We would like to acknowledge the Victor Babes University of Medicine and Pharmacy Timisoara for covering the costs of publication for this research paper.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="123"/>
<page-count count="31"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Experimental Pharmacology and Drug Discovery</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Triterpenes are a diverse group of natural products with a complex structure and significant therapeutic potential. Although they can be found in marine animals or fungi, triterpenes are notably abundant in plants, with more than 20,000 unique structures identified so far (<xref ref-type="bibr" rid="B33">Goddard et al., 2024</xref>). Numerous plants play a role in traditional medicine for treating various health conditions, with their uses and preparations supported by scientific research (<xref ref-type="bibr" rid="B43">Joshi, 2023</xref>). Due to their diverse medicinal properties, triterpenes can exhibit anticancer, anti-inflammatory, antiviral, antioxidant, antibacterial, and antifungal activities (<xref ref-type="bibr" rid="B32">Gill and Kumar, 2016</xref>).</p>
<p>Triterpenes are widely investigated for their anticancer activity, as well as their potential use in cancer treatment and prevention (<xref ref-type="bibr" rid="B77">Nistor et al., 2023</xref>). In contrast to traditional chemotherapeutic drugs with high toxicity, relatively non-toxic phytochemicals like triterpenes are more suitable for long-term disease management (<xref ref-type="bibr" rid="B57">Li et al., 2020</xref>). Mechanisms that might be responsible for their anticancer activity are cytotoxicity, apoptosis regulation, interference with angiogenesis and dedifferentiation, metastasis inhibition and DNA polymerase blocking (<xref ref-type="bibr" rid="B31">Ghante and Jamkhande, 2019</xref>). Moreover, combining bioactive phytochemicals with chemotherapy has demonstrated a synergistic effect (<xref ref-type="bibr" rid="B57">Li et al., 2020</xref>).</p>
<p>Breast cancer is a major health threat to women worldwide. Its severity lies in the fact that it is frequently diagnosed in advanced stages, long after it has first developed. As a result, the disease spreads extensively, making treatment more challenging (<xref ref-type="bibr" rid="B40">Hussein et al., 2024</xref>). Breast cancer treatments, such as surgery, radiation, hormonal therapy, and chemotherapy, often come with significant side effects. Due to their limited effectiveness, relapse rates are rising, with varying morphological and molecular characteristics. Despite advances in research, challenges remain, especially with treatment side effects and drug resistance (<xref ref-type="bibr" rid="B25">El-Nashar et al., 2022</xref>). Moreover, there is an urgent need for natural treatments that can help limit tumor progression, enhance quality of life, and prolong patient survival (<xref ref-type="bibr" rid="B5">Aly et al., 2024</xref>).</p>
<p>According to scientific literature, the effectiveness of triterpenoids isolated from different plant species, such as masticadienolic acid, astragaloside IV (AS-IV), oleanolic acid (OA), ursolic acid (UA), ginsenoside Rh2 (Rh2), cucurbitacin B (CuB), saikosaponin D (SsD), asiatic acid (AA), and others (<xref ref-type="table" rid="T1">Table 1</xref>), has been extensively evaluated using various techniques. These have shown cytotoxicity against breast cancer, both <italic>in vitro</italic> and <italic>in vivo</italic>, through different mechanisms, including inhibiting cell proliferation, reducing mitochondrial membrane potential, suppressing glycolysis (downregulating LDH-A, c-Myc, and PDK1), inducing apoptosis (caspase activation, Bcl-2 modulation, ROS production, DNA damage), causing cell cycle arrest at the G0/G1 phase, modulating PI3K/AKT/mTOR and Beclin-1 pathways, reducing nitric oxide (NO) and TNF-&#x3b1; production, inhibiting STAT3, FAK, and MMPs, and enhancing Cav-1/NF-&#x3ba;B/c-Myc activity, supporting their potential as therapeutic agents (<xref ref-type="bibr" rid="B5">Aly et al., 2024</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Triterpenes administered in free form in rodent models of breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="4" align="center">Pentacyclic triterpenes</th>
</tr>
<tr>
<th align="center">Triterpene</th>
<th align="center">Structure</th>
<th align="center">Triterpene</th>
<th align="center">Structure</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">18&#x3b2;-glycyrrhetinic acid (GA)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx1.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of acetylaldosterone, displaying a multi-ring configuration with alternating single and double bonds, hydroxyl groups, and an acetyl group.</alt-text>
</inline-graphic>
</td>
<td align="center">AG36</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx2.tif">
<alt-text content-type="machine-generated">Chemical structure of a complex molecule featuring hexagonal rings and linear chains with hydroxyl groups. The structure includes multiple interconnected rings, characteristic of steroid compounds, alongside sugar components.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Anemoside A3</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx3.tif">
<alt-text content-type="machine-generated">Chemical structure of a complex organic molecule, likely a steroid glycoside. It includes multiple hexagonal and pentagonal carbon rings, with additional hydroxyl (OH) groups and oxygen atoms attached.</alt-text>
</inline-graphic>
</td>
<td align="center">Arnidiol</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx4.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of beta-sitosterol, showing multiple interconnected hexagonal and pentagonal rings with attached hydroxyl groups.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">AA</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx5.tif">
<alt-text content-type="machine-generated">Chemical structure of a complex organic molecule featuring multiple hexagonal carbon rings. Several hydroxyl (OH) groups are attached, along with other functional groups. The arrangement suggests it may be a steroid or similar compound.</alt-text>
</inline-graphic>
</td>
<td align="center">Betulin (Bet)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx6.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of cholesterol showing a complex arrangement of interconnected carbon and hydrogen rings with hydroxyl groups at specific positions. The rings form a multi-cyclic framework characteristic of steroids.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Betulinic acid (BA)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx7.tif">
<alt-text content-type="machine-generated">Chemical structure of the compound betulinic acid. The structure includes a series of connected hexagonal and pentagonal carbon rings with hydroxyl and carboxyl functional groups attached.</alt-text>
</inline-graphic>
</td>
<td align="center">Celastrol (Cel)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx8.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a steroid molecule with three six-sided rings and one five-sided ring, featuring hydroxyl and carbonyl groups.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Epifriedelinol</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx9.tif">
<alt-text content-type="machine-generated">Chemical structure of lanosterol, showing a complex arrangement of interconnected hexagonal and pentagonal rings with various bonds and a hydroxyl group on one end.</alt-text>
</inline-graphic>
</td>
<td align="center">Esculentoside A</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx10.tif">
<alt-text content-type="machine-generated">Chemical structure of a complex organic compound featuring multiple carbon rings, hydroxyl groups (OH), and ester groups.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx11.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a steroid molecule featuring interconnected hexagonal and pentagonal rings. Hydroxyl groups are bonded to two of the rings, and there is a ketone group at the bottom of the structure.</alt-text>
</inline-graphic>
</td>
<td align="center">Platycodin D</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx12.tif">
<alt-text content-type="machine-generated">Chemical structure of ginsenoside Rb1, featuring multiple hexagonal rings and hydroxyl groups. The molecule includes linked sugar residues and a dammarane-type tetracyclic triterpenoid backbone, illustrating its complex arrangement.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Pristimerin</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx13.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a steroid molecule featuring four interconnected cyclohexane rings, a ketone group, and a hydroxyl group, arranged in a specific configuration typical of steroidal compounds.</alt-text>
</inline-graphic>
</td>
<td align="center">Pygenic acid A</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx14.tif">
<alt-text content-type="machine-generated">Chemical structure of a steroid molecule featuring four connected cyclohexane rings, two hydroxyl groups attached at the top right, and two additional methyl groups. The bottom left includes a ketone group.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Saikosaponin A (SsA)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx15.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex organic compound, featuring multiple hexagonal carbon rings and several hydroxyl (OH) groups. Branching and three-dimensional bonds indicate stereochemistry. The arrangement suggests a steroidal structure with attached sugar moieties.</alt-text>
</inline-graphic>
</td>
<td align="center">SsD</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx16.tif">
<alt-text content-type="machine-generated">Chemical structure of a complex organic compound, featuring multiple hexagonal and pentagonal rings interconnected. Various hydroxyl (OH) groups are attached, with distinct stereochemistry indicated by dashed and wedged bonds.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Tubeimoside-1</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx17.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex organic molecule with multiple hexagonal and pentagonal rings, oxygen atoms, and hydroxyl groups connected by single and double lines, indicating bonds.</alt-text>
</inline-graphic>
</td>
<td align="center">Soyasaponin Ag</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx18.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex organic molecule, featuring multiple hexagonal carbon rings interconnected with lines. Various functional groups, such as hydroxyl (OH) and carbonyl (C=O), are attached to the rings, indicating a compound used in chemical or pharmaceutical applications.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">UA</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx19.tif">
<alt-text content-type="machine-generated">Chemical structure of a steroid compound featuring multiple interconnected hexagonal and pentagonal rings. It includes hydroxyl (OH) and carbonyl (C=O) functional groups, with various bonds indicating 3D orientation.</alt-text>
</inline-graphic>
</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table>
<thead valign="top">
<tr>
<th colspan="4" align="center">Tetracyclic Triterpenes</th>
</tr>
<tr>
<th align="center">Triterpene</th>
<th align="center">Structure</th>
<th align="center">Triterpene</th>
<th align="center">Structure</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">20(S)-protopanaxadiol (20(S)-PPD)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx20.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a steroid molecule, featuring four fused rings. It includes hydroxyl groups (OH) attached at strategic positions and a side chain extending from the top of the hexagonal arrangement.</alt-text>
</inline-graphic>
</td>
<td align="center">20(S)-Protopanaxatriol</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx21.tif">
<alt-text content-type="machine-generated">Chemical structure of a sterol molecule, featuring multiple interconnected hexagonal and pentagonal carbon rings. Hydroxyl groups (OH) are attached at specific positions, with several carbon-carbon double bonds extending from the main structure.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">AECHL-1</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx22.tif">
<alt-text content-type="machine-generated">Chemical structure of paclitaxel, showing a complex arrangement of carbon atoms with oxygen and hydrogen groups attached, forming multiple rings and side chains.</alt-text>
</inline-graphic>
</td>
<td align="center">Actein</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx23.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex organic compound, featuring multiple interconnected hexagonal and pentagonal rings. Several hydroxyl groups (-OH) are attached to the rings, along with ketone (C=O) and ether (O) linkages.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">AS-IV</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx24.tif">
<alt-text content-type="machine-generated">Chemical structure of a triterpenoid saponin, featuring multiple hexagonal carbon rings with attached hydroxyl groups and linear extensions, represented in a black and white line diagram.</alt-text>
</inline-graphic>
</td>
<td align="center">CuB</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx25.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of boswellic acid, featuring a multi-ring skeleton with hydroxyl and carbonyl groups attached. Lines and letters represent bonds and elements.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Frondoside A</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx26.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of Sodium Deoxycholate, showing specific arrangement of carbon rings and functional groups such as hydroxyl (OH), carboxylate (COONa), and ether linkages.</alt-text>
</inline-graphic>
</td>
<td align="center">Ginsenoside Rg5 (Rg 5)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx27.tif">
<alt-text content-type="machine-generated">Chemical structure of saponin, featuring several interconnected rings with hydroxyl (OH) groups attached. The diagram includes a six-ring steroid backbone linked to a sugar moiety.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Rh2</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx28.tif">
<alt-text content-type="machine-generated">Chemical structure of an organic compound featuring a steroid backbone with three six-membered rings and one five-membered ring. Several hydroxyl groups and a long carbon side chain are attached.</alt-text>
</inline-graphic>
</td>
<td align="center">ginsenoside 20(S)-25-methoxyl-dammarane-3b, 12b, 20-triol (25-OCH3-PPD)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx29.tif">
<alt-text content-type="machine-generated">Chemical structure of cholesterol, displaying a complex arrangement of interconnected carbon rings and a hydrocarbon tail. Hydroxyl groups are attached at specific locations along the molecule.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Ginsenoside CK (CK)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx30.tif">
<alt-text content-type="machine-generated">Chemical structure of saponin, featuring a steroid skeleton with various hydroxyl groups attached, including a sugar moiety on the left side. Several hexagonal and pentagonal rings are interconnected.</alt-text>
</inline-graphic>
</td>
<td align="center">Ginsenoside Rd (Rd)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx31.tif">
<alt-text content-type="machine-generated">Chemical structure diagram representing a complex organic molecule with multiple hexagonal and pentagonal rings connected by various bonds, featuring hydroxyl groups (OH) attached at several points.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Ginsenoside Rg1 (Rg1)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx32.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex organic molecule with multiple hexagonal and pentagonal rings interconnected. The structure includes hydroxyl (OH) groups attached at various points.</alt-text>
</inline-graphic>
</td>
<td align="center">Ginsenoside Rg2 (Rg2)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx33.tif">
<alt-text content-type="machine-generated">Chemical structure of saponin with multiple hexagonal rings, hydroxyl groups denoted by &#x22;HO,&#x22; and distinct carbon chains attached. Various bonds and functional groups are highlighted, indicating molecular complexity.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Ginsenoside Rg3 (Rg3)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx34.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex molecule, featuring multiple interconnected hexagonal and pentagonal carbon rings. Several hydroxyl (OH) groups are attached, along with an extended side chain.</alt-text>
</inline-graphic>
</td>
<td align="center">Ginsenoside Rh1 (Rh1)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx35.tif">
<alt-text content-type="machine-generated">Chemical structure of a steroid molecule featuring multiple hexagonal and pentagonal rings with attached hydroxyl groups. The structure includes long carbon side chains, highlighting a complex arrangement typical of steroid compounds.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Ginsenoside Rh4 (Rh4)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx36.tif">
<alt-text content-type="machine-generated">Chemical structure of a compound featuring a steroid framework with four connected rings and multiple hydroxyl groups. A sugar moiety is attached, composed of a six-membered ring with additional hydroxyl groups.</alt-text>
</inline-graphic>
</td>
<td align="center">Ginsenoside Rk1 (Rk1)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx37.tif">
<alt-text content-type="machine-generated">Chemical structure of ginsenoside, a natural product typically found in ginseng. It features a steroid-like core with attached sugar moieties. Hydroxyl groups are present, indicating its potential biological activity.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Gypensapogenin H</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx38.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of a complex compound showing multiple rings, hydroxyl groups, and a hydrocarbon chain. The arrangement includes hexagonal and pentagonal shapes, with various bonds and functional groups.</alt-text>
</inline-graphic>
</td>
<td align="center">JSI-124 (cucurbitacin I)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx39.tif">
<alt-text content-type="machine-generated">Chemical structure of oleanolic acid, a pentacyclic triterpenoid. It consists of five cyclohexane rings with various hydroxyl (OH) and methyl (CH&#x2083;) groups attached, indicating its complex molecular structure.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">Panaxadiol</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx40.tif">
<alt-text content-type="machine-generated">Chemical structure of cholesterol, displaying a complex arrangement of carbon rings and a hydroxyl group attached to the first ring. Solid and dashed lines indicate stereochemistry.</alt-text>
</inline-graphic>
</td>
<td align="center">Sipholenol A</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx41.tif">
<alt-text content-type="machine-generated">Chemical structure of digitoxin, featuring several connected rings indicating carbon atoms. Hydroxy groups (OH) are attached at specific positions. The geometric configuration shows the stereochemistry of the molecule.</alt-text>
</inline-graphic>
</td>
</tr>
<tr>
<td align="center">TSN (Toosendanin)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx42.tif">
<alt-text content-type="machine-generated">Chemical structure of a complex organic molecule featuring multiple carbon rings. It includes hydroxyl groups, acetyl functional groups, and several stereochemical notations.</alt-text>
</inline-graphic>
</td>
<td align="center">ITSN (Isotoosendanin)</td>
<td align="center">
<inline-graphic xlink:href="fphar-16-1623772-fx43.tif">
<alt-text content-type="machine-generated">Chemical structure diagram of artemisinin, showing a complex arrangement of carbon, hydrogen, and oxygen atoms. The structure features a unique peroxide bridge and several hydroxyl and lactone groups.</alt-text>
</inline-graphic>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>According to the last ALLURE report issued by the European Union in 2022, approximately 250,000 rodents (74% of the total animals) were used for scientific purposes (<xref ref-type="bibr" rid="B26">European Commission, 2025</xref>). Despite the ethical dilemmas surrounding animal use in experiments (<xref ref-type="bibr" rid="B48">Kiani et al., 2022</xref>) and the available alternatives, such as computer models, <italic>in vitro</italic> cell and tissue cultures, alternative organisms like prokaryotes, protists, fungi, lower vertebrates (e.g., <italic>Danio rerio</italic>/zebrafish), invertebrates (e.g., <italic>Drosophila melanogaster</italic>) or microorganisms (<italic>e.g., Saccharomyces cerevisiae</italic>) (<xref ref-type="bibr" rid="B24">Doke and Dhawale, 2015</xref>), <italic>in chemico</italic> and <italic>ex vivo</italic> approaches (<xref ref-type="bibr" rid="B109">van der Zalm et al., 2022</xref>), animal experimentation remains invaluable to medical research, enabling the study of biological interactions within a living organism. Mice have revolutionized research by serving as a powerful model for evaluating gene function and understanding the molecular mechanisms underlying cancer pathogenesis <italic>in vivo.</italic> They offer several key advantages over other model systems: their small size, low maintenance costs, rapid reproduction, and the ability to undergo genetic manipulation, an essential feature for replicating the pathophysiology of human cancers (<xref ref-type="bibr" rid="B21">Cheon and Orsulic, 2011</xref>).</p>
<p>The current systematic review aims to investigate if the current evidence obtained from studies on breast cancer in rodents supports the further investigation of triterpenes as drug candidates in humans, or if new studies are needed to improve certain areas of knowledge. To the best of our knowledge, this is the first systematic review to analyze the <italic>in vivo</italic> evidence of triterpenes in breast cancer. This subject was only partially addressed by previous narrative reviews that focused on the <italic>in vitro</italic> and <italic>in vivo</italic> effects of only oleanane derivatives (<xref ref-type="bibr" rid="B83">Parikh et al., 2014</xref>) or included all triterpenes but for limited time frames: 2017&#x2013;2023 (<xref ref-type="bibr" rid="B5">Aly et al., 2024</xref>) and until 2010 (<xref ref-type="bibr" rid="B14">Bishayee et al., 2011</xref>).</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methodology</title>
<sec id="s2-1">
<title>Generating the main research question</title>
<p>The main question of this systematic review was: In rodent models of breast cancer, do triterpenes demonstrate superior therapeutic outcomes compared to a control group, suggesting potential clinical efficacy in human breast cancer patients?</p>
<p>The research question was formulated using the Population-Intervention-Comparator-Outcomes (PICO) framework. The elements of the framework were defined as follows: Population (rodents used to model breast cancer, regardless of the induction method used), Intervention (triterpenes or triterpenoids used alone or in combination solubility enhancers), Comparator (rodents treated with other active controls, inactive vehicles or rodents undergoing no treatment) and Outcomes (primary outcome: tumor volume, tumor weight, data regarding the mechanism of action; secondary outcome: side effects observed, modifications of laboratory results, histopathological toxicity).</p>
</sec>
<sec id="s2-2">
<title>PRISMA statement and international prospective register of systematic review (PROSPERO) protocol registration</title>
<p>This systematic review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement (<xref ref-type="bibr" rid="B88">Preferred Reporting, 2024</xref>). The protocol was registered in the PROSPERO database with the registration number CRD42024591602 (<xref ref-type="bibr" rid="B89">Prodea et al., 2025</xref>). A <italic>post hoc</italic> modification to the PROSPERO protocol was made to include studies investigating the synergistic effects of triterpenes and approved or studied chemotherapeutics to provide a more comprehensive overview of their therapeutic potential in breast cancer.</p>
</sec>
<sec id="s2-3">
<title>Search strategy</title>
<p>We searched three databases (WOS, PubMed/Medline and Scopus) using the following terms: &#x201c;triterpene&#x201d;, &#x201c;triterpenoid&#x201d;, &#x201c;betulinic acid&#x201d;, &#x201c;ursolic acid&#x201d;, &#x201c;lupeol&#x201d;, &#x201c;ginsenoside&#x201d;, &#x201c;glycyrrhetinic acid&#x201d;, &#x201c;celastrol&#x201d;, &#x201c;cucurbitacin&#x201d;, &#x201c;oleanolic acid&#x201d;, &#x201c;saikosaponin&#x201d;, &#x201c;lanosterol&#x201d;, &#x201c;maslinic acid&#x201d;, &#x201c;breast cancer&#x201d;, &#x201c;mammary carcinoma&#x201d;, &#x201c;breast tumor&#x201d;, &#x201c;mammary gland cancer&#x201d;, &#x201c;breast adenocarcinoma&#x201d;, &#x201c;mammary neoplasm&#x201d;, &#x201c;rodent&#x201d;, &#x201c;mice&#x201d;, &#x201c;mouse&#x201d;, &#x201c;rat&#x201d;, &#x201c;hamster&#x201d;, &#x201c;guinea pig&#x201d;, &#x201c;<italic>in vivo</italic>&#x201d;, &#x201c;preclinical research&#x201d;, &#x201c;xenograft&#x201d;, &#x201c;orthotopic model&#x201d;, &#x201c;murine model&#x201d;, &#x201c;metastasis model&#x201d;, &#x201c;animal model&#x201d;. Finally, we searched the reference lists of three relevant reviews (<xref ref-type="bibr" rid="B5">Aly et al., 2024</xref>; <xref ref-type="bibr" rid="B14">Bishayee et al., 2011</xref>; <xref ref-type="bibr" rid="B83">Parikh et al., 2014</xref>). The search was restricted to articles written in English, and no limits were imposed for the publication date. The complete search strategy, including the search sequences used, is available in the <xref ref-type="sec" rid="s13">Supplementary Material</xref>.</p>
</sec>
<sec id="s2-4">
<title>Selection of studies</title>
<p>Two independent reviewers searched the databases on 14 November 2024 using the predetermined search sequences, comparing the total number of articles to be retrieved. After the literature search, the reference lists from the three databases were imported into the Mendeley software, and duplicates were removed using the appropriate option in Mendeley. Afterwards, the article list was exported to Zotero software, and then into an Excel spreadsheet for further analysis. Articles were included in the analysis if the following criteria were met: 1) comparative studies (studies with at least one separate control group); 2) rodents (mice, rats, guinea pigs, hamsters) used to model breast cancer, regardless of the induction method used; 3) triterpenes or triterpenoids (semisynthetic derivatives of triterpenes) used as pure substances (purified from extracts or obtained through chemical synthesis), alone or in combination with other chemotherapeutics or solubility enhancers (cyclodextrins, liposomes, &#x2026;). The articles were excluded if the following criteria were met: 1) other language than English; 2) secondary studies; 3) humans, other species of animals (including <italic>in vitro</italic> studies); 4) plant extracts (alone or in combination with solubility enhancers); 5) non-comparative studies (studies without a control group). For the initial screening, two reviewers (A.M. and A.P.) analyzed the articles&#x2019; title and abstract. Any disagreements were resolved through discussion with a third reviewer (M.M.). Then the full-text articles were assessed by two reviewers (A.M. and A.P.). Similarly, any disagreements were resolved through discussion with a third reviewer (M.M.).</p>
</sec>
<sec id="s2-5">
<title>Data extraction</title>
<p>Two independent researchers (M.J. and O.B.) performed the data extraction in Google Spreadsheets. Any discrepancies observed were resolved through discussions after double-checking the source. The following information was extracted from the articles: 1) study characteristics (name of the first author and year of publication; title of the article; study type and country); 2) experimental model (animal model characteristics -sex, type and age; type of breast cancer inoculated and tumor inoculation method; triterpene/triterpenoid tested; administration route, dosage, frequency and duration of treatment; 3) primary outcome (tumor weight for triterpene and control; tumor weight trend; tumor volume for triterpene and control; tumor volume trend; information regarding the mechanism of action); 4) secondary outcome (side effects observed; modifications of laboratory results; histopathological toxicity). In studies where multiple time-points were reported for an experiment, the final time-point of the experiment was selected for data extraction, so that the data reflect the end stage of the treatment.</p>
</sec>
<sec id="s2-6">
<title>Bias analysis</title>
<p>The risk of bias was assessed by two independent researchers (A.M. and A.P.) using the Risk of Bias Tool for Animal Studies elaborated by the Systematic Review Center for Laboratory Animals (SYRCLE RoB Tool) (<xref ref-type="bibr" rid="B39">Hooijmans et al., 2014</xref>). Using this method, we evaluated six types of bias: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other biases (the report of ethical approval for the animal study). For each category of bias assessed, we used three options: high (showing a high risk of bias), low (representing a low risk of bias), and unclear (where inadequate data was provided). The risk of bias analysis was made using Google Spreadsheet and the risk of bias figures were made using ROBVIS (<xref ref-type="bibr" rid="B68">McGuinness and Higgins, 2021</xref>).</p>
</sec>
<sec id="s2-7">
<title>Data synthesis</title>
<p>A meta-analysis was not considered appropriate for this review due to the high diversity of included studies. In particular, endpoint heterogeneity limited statistical pooling as different studies used incompatible measurements of tumor growth, such as tumor weight and tumor volume. Moreover, in many studies, these metrics were only presented in graph form, limiting the extraction of raw data necessary for the meta-analysis. While variance data were available in the majority of the studies, the difference in endpoint measurement times of short-term <italic>versus</italic> long-term studies also made it impossible to statistically analyze the results. Instead, a semi-quantitative synthesis of tumor weight and volume using vote-counting for direction of effect was performed to summarize the results. For studies with multiple treatment groups, we used the any positive approach, where if any of the treatment arms showed a statistically positive effect, the study was categorized as having a positive effect. This approach was used to prevent double-counting the studies reporting a positive effect, offering a concise summary of the evidence.</p>
<p>To explore heterogeneity sources in the study results we performed several subgroup analyses on: i) free triterpenes <italic>versus</italic> terpenoids; ii) the use of delivery systems; iii) monotherapy <italic>versus</italic> cotreatment; iv) tumor models and v) route of administration. For each subgroup, the same vote-counting analysis for tumor weight and volume used for the primary analysis was applied.</p>
</sec>
<sec id="s2-8">
<title>Sensitivity analysis</title>
<p>We conducted a sensitivity analysis to assess the robustness of our findings by analyzing the studies with a low risk of bias in key domains (sequence generation, allocation concealment, blinding of participants and personnel and blinding of outcome assessment). However, due to significant methodological shortcomings identified in our risk of bias assessment, none of the articles were considered to have a low risk of bias in all key domains. Hence, for this sensitivity analysis, we considered a study to have a low risk of bias if it reported a random sequence generation, a crucial step in reducing selection and overall bias. We performed a vote-counting analysis for tumor weight and volume of the 2 studies that fulfilled our criteria and compared the results to our primary analysis of all the included studies.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Studies included in the qualitative synthesis and analysis</title>
<p>The diagram representing the search process for the review is depicted in <xref ref-type="fig" rid="F1">Figure 1</xref>. Our search resulted in 1348 articles obtained from three databases (WOS, PubMed/Medline and Scopus) and 39 articles obtained from the manual search of relevant reviews on the topic. After duplicate removal and the two-phase screening, 163 articles were included in the systematic review.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>PRISMA diagram depicting the study selection process.</p>
</caption>
<graphic xlink:href="fphar-16-1623772-g001.tif">
<alt-text content-type="machine-generated">Flowchart titled &#x22;Identification of studies via databases&#x22; showing a systematic review process. It starts with 1,387 records identified from various databases. After removing 260 duplicates, 1,127 records are screened by title and abstract. Of these, 908 are excluded for reasons like duplication, irrelevance, or incorrect species. This leaves 219 articles for full-text screening, with 56 more excluded for additional reasons. Finally, 163 studies are included in the review.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-2">
<title>Studies characteristics</title>
<p>The eligible articles were published between 2003&#x2013;2024 as follows: 2003 (n &#x3d; 1); 2005 (n &#x3d; 1); 2006 (n &#x3d; 1); 2007 (n &#x3d; 1); 2008 (n &#x3d; 3); 2010 (n &#x3d; 1); 2011 (n &#x3d; 4); 2012 (n &#x3d; 4); 2013 (n &#x3d; 6); 2014 (n &#x3d; 2); 2015 (n &#x3d; 1); 2016 (n &#x3d; 12); 2017 (n &#x3d; 9); 2018 (n &#x3d; 15); 2019 (n &#x3d; 12); 2020 (n &#x3d; 25); 2021 (n &#x3d; 18); 2022 (n &#x3d; 14); 2023 (n &#x3d; 12) and 2024 (n &#x3d; 22). The studies originated from different continents: Asia (n &#x3d; 134; China n &#x3d; 111; India n &#x3d; 12; Korea n &#x3d; 8; Iran n &#x3d; 1; Thailand n &#x3d; 1; United Arab Emirates n &#x3d; 1); North America (n &#x3d; 22; United States of America n &#x3d; 22); Africa (n &#x3d; 4; Egypt n &#x3d; 4); Europe (n &#x3d; 1; Greece n &#x3d; 1); South America (n &#x3d; 1; Brazil n &#x3d; 1); and Australia (n &#x3d; 1) (<xref ref-type="fig" rid="F2">Figure 2</xref>). The study design was cross-sectional for all the articles included (<xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Distribution of articles across countries.</p>
</caption>
<graphic xlink:href="fphar-16-1623772-g002.tif">
<alt-text content-type="machine-generated">World map displaying the number of studies conducted per country. China leads with 111 studies, followed by the United States with 22, India with 12, Egypt with 4, and Brazil, South Africa, and Australia each with 1. A gradient scale indicates the study count.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Animal model</title>
<p>The animals used in the majority of the studies were in-bread species of mice (Balb/c mice, n &#x3d; 75; C57BL/6 mice, n &#x3d; 2; C3H/He mice, n &#x3d; 1; albino mice, n &#x3d; 1; Swiss Albino mice, n &#x3d; 1) followed by immunodeficient mice species (Balb/c nu/nu (or nude) mice, n &#x3d; 32; nude mice, n &#x3d; 22; SCID mice, n &#x3d; 4; NCr-nu/nu mice, n &#x3d; 1; NMRI nude mice, n &#x3d; 1; NSG mice, n &#x3d; 1; NOD-SCID mice, n &#x3d; 1; NMRI-Foxn1nu/Foxn1nu mice, n &#x3d; 1); genetically engineered mouse models (PyMT mice, n &#x3d; 2; MMTV-ErbB2/neu mice, n &#x3d; 1; MMTV-neu mice,n &#x3d; 1; MMTV-PyVT&#xa0;&#xb1;&#xa0;mice, n &#x3d; 1; MMTV-Cre; p53 (&#x2b;/&#x2212;) mice, n &#x3d; 1) and rats (rats, n &#x3d; 1; Sprague Dawley rats, n &#x3d; 6; albino rats, n &#x3d; 1; Wistar rats, n &#x3d; 1). Six studies used 2&#xa0;mouse species for the experiments, Balb/c mice and nude mice (n &#x3d; 2); Balb/c mice and C57BL/6 mice (n &#x3d; 1); Balb/c nu/nu mice and Balb/c mice (n &#x3d; 1); Brca1(Co/Co)) and MMTV-PyMT mice and Balb/c nu/nu mice (n &#x3d; 1) (<xref ref-type="sec" rid="s13">Supplementary Material</xref>). Regarding the sex of the animals, 136 used female, 3 used male, 1 used both female and male (study with two types of mice), 2 used female but did not specify the sex for the other mice species (study with two types of mice) and 22 did not specify the sex of the animals used. The age of the animals was between 3 and 10 weeks, reported by 112 studies, 2 mentioned the unclear term &#x201c;adult&#x201d;, while 49 studies did not report the age of the animals used (<xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
<p>The breast cancer animal model was obtained by several methods: using genetically modified mice (n &#x3d; 6), by 7,12-dimethylbenz(a)anthracene (DMBA) induction (n &#x3d; 9) and by the inoculation of murine (allografts) and human (xenografts) cancerous cells, such as 4T1 (n &#x3d; 45); MDA-MB-231 (n &#x3d; 32); MCF-7 (n &#x3d; 22); 3T3/4T1 (n &#x3d; 1); 4T1-fluc-red (n &#x3d; 1); 4T1-Luc (n &#x3d; 4); 4T1-Luc-GFP (n &#x3d; 1); 4T1/rLu/GFP (n &#x3d; 2); ALDH (high) BCSCs (n &#x3d; 1); BT-474 (n &#x3d; 1); BT20 (n &#x3d; 1); BT474 (n &#x3d; 1); EAT (n &#x3d; 3); EMT6M (n &#x3d; 1); FM3A (n &#x3d; 1); MCF-7/ADR (n &#x3d; 2); MCF-7/DOX (n &#x3d; 1); MCF-7/T (n &#x3d; 1); MCF10DCIS (n &#x3d; 1); MDA-MB-231-Luc (n &#x3d; 3); MDA-MB-231/GFP (n &#x3d; 1); MDA-MB-361 (n &#x3d; 1); MDA-MB-468 (n &#x3d; 2); MMTV-Wnt-1 (from genetically modified mice; n &#x3d; 2); SKBR-3 (n &#x3d; 2) and SUM159 (n &#x3d; 1). Fifteen studies used two or more different methods of cancer inoculation (<xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
</sec>
<sec id="s3-4">
<title>Treatment</title>
<p>The compounds were tested in various forms, including triterpenes (n &#x3d; 66) (<xref ref-type="sec" rid="s13">Supplementary Material</xref>); triterpenoids (n &#x3d; 18) (<xref ref-type="table" rid="T2">Table 2</xref>); cotreatment (n &#x3d; 25) (<xref ref-type="sec" rid="s13">Supplementary Material</xref>); liposomes (n &#x3d; 12); micelles (n &#x3d; 7) and NPs (n &#x3d; 35) (<xref ref-type="sec" rid="s13">Supplementary Material</xref>). When more than one form was tested in a study, we considered the most active form for the classification.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Triterpenoids tested in rodent models of breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Parent triterpene</th>
<th align="center">Triterpenoid</th>
<th align="center">Administration route, dosage, frequency, duration of treatment</th>
<th align="center">Controls</th>
<th align="center">Tumor weight trend compared with controls</th>
<th align="center">Tumor volume trend compared with controls</th>
<th align="center">Mechanism of action (<italic>in vivo</italic>)</th>
<th align="center">Safety profile</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">BA</td>
<td align="center">ester derivative of BA and dichloroacetate (Bet-CA)</td>
<td align="center">Intratumorally; 1&#xa0;mg/kg</td>
<td align="center">Vehicle (not specified)</td>
<td align="center">-</td>
<td align="center">Decreases</td>
<td align="center">Reduces lung metastasis, reduces PCNA expression and low BrdU uptake, increases ROS, angiogenesis inhibition</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B93">Saha et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">Bet</td>
<td align="center">lup-20 (29)-en-3&#x3b2;,28-di-yl-nitrooxy acetate (NBT)</td>
<td align="center">i.p.; 100&#xa0;mg/kg daily for 11 days</td>
<td align="center">Saline, 5-fluorouracil, Bet</td>
<td align="center">-</td>
<td align="center">Decreases (vs. saline and betulin), similar (vs. 5-fluorouracil)</td>
<td align="center">-</td>
<td align="center">No significant toxicity</td>
<td align="center">
<xref ref-type="bibr" rid="B115">Yan et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="center">Cel</td>
<td align="center">Cel-based Proteolysis Targeting Chimeras: compound 6a</td>
<td align="center">3 and 6&#xa0;mg/kg (compound 6a), daily for 6 days</td>
<td align="center">Vehicle (5% DMSO, 5% PEG300, 5% Tween 80, and 85% saline), Cel</td>
<td align="center">Decreases</td>
<td align="center">Decreases</td>
<td align="center">-</td>
<td align="center">No organ toxicity, reduced toxicity compared to Cel</td>
<td align="center">
<xref ref-type="bibr" rid="B29">Gan et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="center">Cel</td>
<td align="center">Lactoferin-Cel-DOX nanoconjugates</td>
<td align="center">i.v.; 2.3&#xa0;mg/kg DOX &#x2b;4&#xa0;mg/kg Cel, 3 times per week for 3 weeks</td>
<td align="center">No treatment, Cel, DOX, Cel &#x2b; DOX</td>
<td align="center">-</td>
<td align="center">Decreases</td>
<td align="center">DecreasesNF-&#x3ba;B, TNF-&#x3b1;, COX-2 and ki-67 tumor biomarkers</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B1">Abdelmoneem et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">CuB</td>
<td align="center">Prodrug 1 of CuB</td>
<td align="center">i.p.; 3, 5 and 10&#xa0;mg/kg (prodrug), 3&#xa0;mg/kg CuB daily for 14 days</td>
<td align="center">Saline, tamoxifen</td>
<td align="center">Decreases (vs. saline), similar (3 and 5&#xa0;mg/kg vs. tamoxifen), decreases (10&#xa0;mg/kg vs. tamoxifen)</td>
<td align="center">Decreases (vs. saline), similar (3 and 5&#xa0;mg/kg vs. tamoxifen), decreases (10&#xa0;mg/kg vs. tamoxifen)</td>
<td align="center">-</td>
<td align="center">Reduced toxicity compared to CuB (which provoked the death of animals after the first day of treatment)</td>
<td align="center">
<xref ref-type="bibr" rid="B105">Suebsakwong et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="center">GA</td>
<td align="center">GA derivates</td>
<td align="center">i.p.; 20&#xa0;mg/kg and 40&#xa0;mg/kg GA derivatives (9 days, 12&#xa0;m) every other day for 15 days</td>
<td align="center">DMSO, GA</td>
<td align="center">Decreases</td>
<td align="center">Decreases</td>
<td align="center">Reduces lung, liver, brain and bone metastasis</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B45">Kallepu et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">2-cyano-3,12-dioxooleana-1,9 (11)-dien-28-oic acid (CDDO-Me)</td>
<td align="center">p.o.; 27 and 81&#xa0;ppm, daily for 14 days for the DMBA model, 7 days for MNU model</td>
<td align="center">No treatment (used in both models), 5,6-benzoflavone (500ppm) (used in the DMBA model)</td>
<td align="center">Decreases (vs. no treatment), increases (vs. 5,6-benzoflavone)</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">No significant toxicity (lower dose), increased toxicity: weight loss and increased mortality (high dose)</td>
<td align="center">
<xref ref-type="bibr" rid="B64">Lubet et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">CDDO-Me</td>
<td align="center">p.o.; 50&#xa0;mg/kg daily for 4 weeks</td>
<td align="center">No treatment</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">Decreases CXCL12, CCL2 and MMP-9</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B108">Tran et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">CDDO-Me</td>
<td align="center">i.p.; 5&#xa0;mg/kg twice a week for 3 weeks</td>
<td align="center">Saline</td>
<td align="center">Decreases</td>
<td align="center">Decreases</td>
<td align="center">Inhibition of Wnt/&#x3b2;-catenin signaling pathway</td>
<td align="center">No significant toxicity</td>
<td align="center">
<xref ref-type="bibr" rid="B122">Zhou et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">CDDO-Me</td>
<td align="center">p.o.; 50&#xa0;mg/kg daily for 6 weeks</td>
<td align="center">No treatment</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">Reduces levels of ErbB2, p-ErbB2, cyclin D1, and gH2AX</td>
<td align="center">No toxicity observed</td>
<td align="center">
<xref ref-type="bibr" rid="B49">Kim et al. (2012)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">CDDO-Me</td>
<td align="center">p.o.; 50&#xa0;mg/kg, daily for 8 weeks</td>
<td align="center">No treatment</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">Decreases CD3<sup>&#x2b;</sup> T cells, inhibition of VEGF and IL-10, increases TNF-&#x3b1;</td>
<td align="center">Weight loss</td>
<td align="center">
<xref ref-type="bibr" rid="B11">Ball et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">CDDO-Me</td>
<td align="center">i.p.; 5&#xa0;mg/kg every 3 days, 5 doses (spontaneous model); 2&#xa0;mg/kg every 3 days, 10 doses (xenograft)</td>
<td align="center">DMSO</td>
<td align="center">-</td>
<td align="center">Decreases</td>
<td align="center">Decreases Rab 13 expression, reduced ALDH activity</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B110">Wang et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">methyl 3&#x3b2;-O-[4-(2-aminoethylamino)-4-oxo-butyryl]olean-12-ene-28-oate (DABO-Me)</td>
<td align="center">Intratumorally; daily for 25 days</td>
<td align="center">PBS</td>
<td align="center">-</td>
<td align="center">Decreases</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B28">Feng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">methyl-25-hydroxy-3-oxoolean-12-en-28-oate (AMR-Me)</td>
<td align="center">p.o.; 0.8; 1.2&#xa0;mg/kg and 1.6&#xa0;mg/kg; 3 times a week for 18 weeks (2 prior DMBA and 16 post DMBA)</td>
<td align="center">No treatment</td>
<td align="center">Decreases</td>
<td align="center">-</td>
<td align="center">Upregulation of Bax, BAD, CASP 3, CASP 7 and PARP, downregulation of Bcl-2 expression (in medium and high dose of AMR-Me groups)</td>
<td align="center">No toxicity observed</td>
<td align="center">
<xref ref-type="bibr" rid="B15">Bishayee et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">AMR-Me</td>
<td align="center">p.o.; 0.8; 1.2 or 1.6&#xa0;mg/kg, 3 times per week for 18 weeks (2 weeks prior to DMBA and 16 weeks after DMBA)</td>
<td align="center">No treatment</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">Suppresion of Wnt/&#x3b2;-catenin signaling pathway, decreases PCNA, angiogenesis inhibition</td>
<td align="center">No significant toxicity</td>
<td align="center">
<xref ref-type="bibr" rid="B65">Mandal et al. (2013)</xref>
</td>
</tr>
<tr>
<td align="center">OA</td>
<td align="center">AMR-Me</td>
<td align="center">p.o.; 0.8; 1.2 or 1.6&#xa0;mg/kg, 3 times per week for 18 weeks (2 weeks prior to DMBA and 16 weeks after DMBA)</td>
<td align="center">No treatment</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">Inhibition of COX-2, HSP90, and NF-kB</td>
<td align="center">-</td>
<td align="center">
<xref ref-type="bibr" rid="B66">Mandal et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="center">Rb1</td>
<td align="center">CK</td>
<td align="center">i.p; 0.2 or 1&#xa0;mg/kg every other day for 3 weeks</td>
<td align="center">No treatment</td>
<td align="center">Decreases</td>
<td align="center">Decreases</td>
<td align="center">-</td>
<td align="center">No significant toxicity</td>
<td align="center">
<xref ref-type="bibr" rid="B56">Lee et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Rh2</td>
<td align="center">Rh2-containing arginine-reduced graphene</td>
<td align="left">i.v.; 3&#xa0;mg/kg, every 3 days for 32 days</td>
<td align="left">PBS, Rh2, Graphene-arginine</td>
<td align="left">Decreases</td>
<td align="left">Decreases</td>
<td align="left">Reduces liver metastasis, decreases levels of TGF-&#x3b2;, IL-10, and Foxp3 and increases level of IFN&#x3b3;</td>
<td align="left">Mild liver toxicity</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Farhangfar et al. (2022)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The most studied triterpenes in free form were UA (n &#x3d; 5); BA (n &#x3d; 4); CuB (n &#x3d; 4); 20(S)-PPD (n &#x3d; 2); actein (n &#x3d; 2); AECHL-1 (n &#x3d; 2); AS-IV (n &#x3d; 2); Cel (n &#x3d; 2); ginsenoside Rk1 (n &#x3d; 2); OA (n &#x3d; 2); pristimerin (n &#x3d; 2) and SsA (n &#x3d; 2) (<xref ref-type="sec" rid="s13">Supplementary Material</xref>). Triterpenoids derived from OA (n &#x3d; 10) and Cel (n &#x3d; 2) as well as co-treatment with ginsenoside Rg3 (n &#x3d; 4); cucurbitacin B (n &#x3d; 2); TSN (n &#x3d; 3) and SsD (n &#x3d; 2) with standard anticancer drugs such as DOX, PTX and tamoxifen were also studied in rodent models of breast cancer (<xref ref-type="sec" rid="s13">Supplementary Material</xref>). Additionally, formulations of Cel (n &#x3d; 13); OA (n &#x3d; 7); UA: (n &#x3d; 7); Rg3: (n &#x3d; 6); BA: (n &#x3d; 4); Rh2: (n &#x3d; 4); AA: (n &#x3d; 2) and GA: (n &#x3d; 2) were also investigated (<xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
<p>They were administered by various routes, including i. p. (n &#x3d; 58); i. v. (n &#x3d; 48); p. o. (n &#x3d; 31); i. g. (n &#x3d; 9); s. c. (n &#x3d; 2); intratumorally (n &#x3d; 3) and peritumorally (n &#x3d; 1). Six studies used the unclear term injected and five studies did not mention the route of administration used. The tested triterpenes were given in doses ranging from 1.5&#xa0;&#x3bc;g/kg (AECHL-1) to 250&#xa0;mg/kg (BA) (<xref ref-type="table" rid="T2">Table 2</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>) and four studies did not mention the dose used. The dosing regimen varied from a single dose to daily doses over several days, with the duration of treatment lasting from 1&#xa0;day to 70 days 11 studies did not mention the duration of treatment. Studies included either a negative control group (n &#x3d; 63), a positive control group (n &#x3d; 1), or both (n &#x3d; 99) (<xref ref-type="table" rid="T2">Table 2</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
</sec>
<sec id="s3-5">
<title>Primary outcome</title>
<p>The primary outcomes measured for this review were tumor weight trend, tumor volume trend and information regarding the mechanism of action. Tumor weight trend was reported to be decreased compared to controls (n &#x3d; 65), decreased compared to negative control and increased compared to positive control (n &#x3d; 9), decreased compared to negative control and similar to positive control (n &#x3d; 5), decreased compared to controls only for the higher triterpene dose tested (n &#x3d; 5) and 77 studies did not report the tumor weight (<xref ref-type="table" rid="T2">Table 2</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>). Tumor volume was reported to be decreased compared to controls (n &#x3d; 107), decreased compared to negative control and increased compared to positive control (n &#x3d; 8), decreased compared to negative control and similar to positive control (n &#x3d; 8), decreased compared to controls only for the higher triterpene dose tested (n &#x3d; 2) and 38 studies did not report the tumor volume (<xref ref-type="table" rid="T2">Table 2</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>). Numerical values extracted from the tumor weight and volume are available in the <xref ref-type="sec" rid="s13">Supplementary Material</xref>.</p>
<p>Several mechanisms of action responsible for the anticancer effect have been identified, including the induction of apoptosis, the inhibition of angiogenesis, the inhibition of the Wnt/&#x3b2;-catenin signaling pathway, the activation of the IL-12/STAT4 pathway, and the activation of the JNK1/2 pathway. Modification of cancer biomarkers, such as decreased PCNA and Ki-67, increased Bax/Bcl-2 ratio, increased cleaved caspase-3, decreased VEGF and CD31, and decreased matrix metalloproteinases, especially MMP-2 and MMP-9, were also observed (<xref ref-type="table" rid="T2">Table 2</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>). In 29 studies, reduced lung metastasis was reported, four studies reported reduced liver metastasis, 2 studies reported reduced brain metastasis and one reported reduced bone metastasis. A number of 33 studies did not provide any information regarding the mechanism of action responsible for the anticancer effect in rodents.</p>
</sec>
<sec id="s3-6">
<title>Secondary outcome</title>
<p>The secondary outcomes of our review were to gather information regarding the safety of triterpenes, including modifications of laboratory results, organ toxicity, and side effects. Thirteen studies reported no observed toxicity, 36 studies reported no significant toxicity, and 13 mentioned no organ toxicity. In 43 studies, animal weight was monitored before and after treatment, which either remained unchanged or the change was insignificant. There were several exceptions to this, including 30&#xa0;mg/kg OA, 2&#xa0;mg/kg Cel, 81&#xa0;ppm and 50&#xa0;mg/kg CDDO-Me, an association of 250&#xa0;mg/kg BA&#x2b; 10&#xa0;mg/kg taxol, NPs containing 0.1&#xa0;mg/kg Squ, 10&#xa0;mg/kg ginsenoside Rh2, and 2.5&#xa0;mg/kg IR780 &#x2b; laser, which caused significant weight loss. In one study, administration of 3&#xa0;mg/kg CuB led to the death of all animals after the first administration (<xref ref-type="bibr" rid="B105">Suebsakwong et al., 2019</xref>) and in association with gemcitabine, 1&#xa0;mg/kg CuB provoked leukopenia (<xref ref-type="bibr" rid="B7">Aribi et al., 2013</xref>). In another study using 4&#xa0;mg/kg Cel, significant mortality was observed (<xref ref-type="bibr" rid="B90">Raja et al., 2011</xref>). A total of 46 studies did not provide any information regarding the safety observed <italic>in vivo</italic> of the tested compounds and formulations (<xref ref-type="table" rid="T2">Tables 2</xref>, <xref ref-type="table" rid="T3">3</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Toxicity data reported in rodent models of breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Toxicity reports</th>
<th align="center">Triterpenes</th>
<th align="center">Triterpenoids</th>
<th align="center">Cotreatment</th>
<th align="center">Triterpenes &#x2b; carriers</th>
<th align="center">Total reports</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Mortality</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3</td>
</tr>
<tr>
<td align="left">Weight loss</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">10</td>
</tr>
<tr>
<td align="left">Histopathological changes</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">4</td>
</tr>
<tr>
<td align="left">Leukopenia</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left">Other blood tests modifications</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">4</td>
</tr>
<tr>
<td align="left">Edema at the site of injection</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-7">
<title>Risk of bias</title>
<p>The results of the risk of bias assessment are summarized in <xref ref-type="table" rid="T4">Table 4</xref> and <xref ref-type="fig" rid="F3">Figure 3</xref>. The detailed analysis of individual studies is presented in the <xref ref-type="sec" rid="s13">Supplementary Material</xref>. Our analysis revealed significant methodological limitations across all included studies; none of the included studies checked all the criteria assessed.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Summary of risk of bias assessment (SYRCLE tool).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="center">Type of bias</th>
<th align="center">Low (%)</th>
<th align="center">Unclear (%)</th>
<th align="center">High (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="center">Selection bias</td>
<td align="center">Sequence generation</td>
<td align="center">1.23</td>
<td align="center">96.93</td>
<td align="center">1.84</td>
</tr>
<tr>
<td align="center">Baseline characteristics</td>
<td align="center">67.49</td>
<td align="center">25.15</td>
<td align="center">7.36</td>
</tr>
<tr>
<td align="center">Allocation concealment</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">100</td>
</tr>
<tr>
<td rowspan="2" align="center">Performance bias</td>
<td align="center">Random housing</td>
<td align="center">23.93</td>
<td align="center">75.46</td>
<td align="center">0.61</td>
</tr>
<tr>
<td align="center">Blinding of participants and personnel</td>
<td align="center">0</td>
<td align="center">0.61</td>
<td align="center">99.39</td>
</tr>
<tr>
<td rowspan="2" align="center">Detection bias</td>
<td align="center">Random outcome assessment</td>
<td align="center">71.17</td>
<td align="center">3.06</td>
<td align="center">25.77</td>
</tr>
<tr>
<td align="center">Blinding of outcome assessment</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">100</td>
</tr>
<tr>
<td align="center">Attrition bias</td>
<td align="center">Incomplete outcome data</td>
<td align="center">74.23</td>
<td align="center">19.32</td>
<td align="center">6.45</td>
</tr>
<tr>
<td align="center">Reporting bias</td>
<td align="center">Selective outcome reporting</td>
<td align="center">98.16</td>
<td align="center">0</td>
<td align="center">1.84</td>
</tr>
<tr>
<td align="center">Other</td>
<td align="center">Report of ethical approval for the animal study</td>
<td align="center">84.66</td>
<td align="center">0</td>
<td align="center">15.34</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Risk of Bias assessment according to SYRCLE criteria (green-low risk of bias, yellow-unclear risk of bias, red-high risk of bias, blue-not assessed).</p>
</caption>
<graphic xlink:href="fphar-16-1623772-g003.tif">
<alt-text content-type="machine-generated">Bar chart depicting risk of bias assessment across various categories such as sequence generation, allocation concealment, and ethical approval. Categories are color-coded: green for low risk, yellow for unclear risk, and red for high risk. Percentages indicated on the x-axis.</alt-text>
</graphic>
</fig>
<p>For this review, we considered sequence generation, allocation concealment, blinding of participants and personnel, and blinding of outcome assessment as key domains when assessing the quality of the studies against key ARRIVE guidelines (<xref ref-type="bibr" rid="B84">Percie du Sert et al., 2020</xref>). A major limitation was the high proportion of studies with unclear risk of bias for random sequence generation (96.93%), with only a very small proportion providing details on a proper randomization method. Moreover, none of the studies have provided proper allocation concealment and blinding of personnel and outcome assessors, indicating a high detection and performance bias.</p>
<p>We performed a semi-quantitative analysis of the results for tumor weight and volume using vote counting for direction of effect, which are summarized in <xref ref-type="table" rid="T5">Table 5</xref>.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Vote-counting analysis of the effect of triterpenes on tumor weight and volume.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Direction of observed effect</th>
<th align="center">Triterpenes</th>
<th align="center">Triterpenoids</th>
<th align="center">Cotreatment</th>
<th align="center">Carriers</th>
<th align="center">Total</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="6" align="left">Tumor weight</td>
</tr>
<tr>
<td align="left">Positive effect</td>
<td align="right">39</td>
<td align="right">8</td>
<td align="right">12</td>
<td align="right">27</td>
<td align="center">86</td>
</tr>
<tr>
<td align="left">No/negative effect</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">No data available</td>
<td align="right">27</td>
<td align="right">10</td>
<td align="right">13</td>
<td align="right">27</td>
<td align="center">77</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="6" align="left">Tumor volume</td>
</tr>
<tr>
<td align="left">Positive effect</td>
<td align="right">48</td>
<td align="right">11</td>
<td align="right">19</td>
<td align="right">47</td>
<td align="center">125</td>
</tr>
<tr>
<td align="left">No/negative effect</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="right">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">No data available</td>
<td align="right">18</td>
<td align="right">7</td>
<td align="right">6</td>
<td align="right">7</td>
<td align="center">38</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Our sensitivity analysis of the 2 articles that reported proper sequence generation showed that triterpenes had a positive effect on tumor weight in both studies and a positive effect on tumor volume in one of the studies, while the other did not measure this parameter.</p>
<p>To explore potential sources of heterogeneity in our results, we performed a vote-counting analysis on several predefined subgroups. The results of our assessment are presented in <xref ref-type="table" rid="T6">Table 6</xref>. For the free triterpenes <italic>versus</italic> triterpenoids subgroup administered in monotherapy, triterpenes show a positive effect in a higher percentage of studies compared with triterpenoids, results consistent for both tumor weight (59.09% vs. 44.44%) and volume (72.73% vs. 33.33%). These results are also confirmed in the cotreatment subgroup, where free triterpenes perform better for both outcomes, showing a positive effect on tumor weight (50% vs. 33.33%) and a strong positive effect on tumor volume (81.82% vs. 33.33%).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Vote-counting subgroup analysis of triterpene effects on tumor weight and volume.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Subgroup</th>
<th rowspan="2" align="center">Treatment type</th>
<th colspan="3" align="center">Tumor weight trend compared with controls</th>
<th colspan="3" align="center">Tumor volume trend compared with control</th>
<th rowspan="2" align="center">Total reports</th>
</tr>
<tr>
<th align="left">Free triterpene/derivatives</th>
<th align="left">Positive effects</th>
<th align="left">No/Negative effects</th>
<th align="left">No data availabe</th>
<th align="left">Positive effects</th>
<th align="left">No/Negative effects</th>
<th align="left">No data available</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="center">Free triterpene</td>
<td align="center">Monotherapy</td>
<td align="center">39</td>
<td align="center">0</td>
<td align="center">27</td>
<td align="center">48</td>
<td align="center">0</td>
<td align="center">18</td>
<td align="center">66</td>
</tr>
<tr>
<td align="center">Cotreatment</td>
<td align="center">11</td>
<td align="center">0</td>
<td align="center">11</td>
<td align="center">18</td>
<td align="center">0</td>
<td align="center">4</td>
<td align="center">22</td>
</tr>
<tr>
<td rowspan="2" align="center">Triterpenoids (derivatives)</td>
<td align="center">Monotherapy</td>
<td align="center">8</td>
<td align="center">0</td>
<td align="center">10</td>
<td align="center">11</td>
<td align="center">0</td>
<td align="center">7</td>
<td align="center">18</td>
</tr>
<tr>
<td align="center">Cotreatment</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">3</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="9" align="left">With/without delivery systems</td>
</tr>
<tr>
<td rowspan="2" align="center">With delivery systems</td>
<td align="center">Monotherapy</td>
<td align="center">10</td>
<td align="center">0</td>
<td align="center">10</td>
<td align="center">16</td>
<td align="center">0</td>
<td align="center">4</td>
<td align="center">20</td>
</tr>
<tr>
<td align="center">Cotreatment</td>
<td align="center">17</td>
<td align="center">0</td>
<td align="center">17</td>
<td align="center">31</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">34</td>
</tr>
<tr>
<td rowspan="2" align="center">Without delivery systems</td>
<td align="center">Monotherapy</td>
<td align="center">47</td>
<td align="center">0</td>
<td align="center">37</td>
<td align="center">59</td>
<td align="center">0</td>
<td align="center">25</td>
<td align="center">84</td>
</tr>
<tr>
<td align="center">Cotreatment</td>
<td align="center">12</td>
<td align="center">0</td>
<td align="center">13</td>
<td align="center">19</td>
<td align="center">0</td>
<td align="center">6</td>
<td align="center">25</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="9" align="left">Tumor models/cell lines</td>
</tr>
<tr>
<td colspan="2" align="center">4T1 cells</td>
<td align="center">28</td>
<td align="center">0</td>
<td align="center">17</td>
<td align="center">40</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="center">45</td>
</tr>
<tr>
<td colspan="2" align="center">MDA-MB-231 cells</td>
<td align="center">16</td>
<td align="center">0</td>
<td align="center">16</td>
<td align="center">29</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">32</td>
</tr>
<tr>
<td colspan="2" align="center">MCF-7 cells</td>
<td align="center">11</td>
<td align="center">0</td>
<td align="center">10</td>
<td align="center">19</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">22</td>
</tr>
<tr>
<td colspan="2" align="center">Multiple tumor types</td>
<td align="center">7</td>
<td align="center">0</td>
<td align="center">8</td>
<td align="center">8</td>
<td align="center">0</td>
<td align="center">7</td>
<td align="center">15</td>
</tr>
<tr>
<td colspan="2" align="center">DMBA -induced tumors</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">6</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">6</td>
<td align="center">9</td>
</tr>
<tr>
<td colspan="2" align="center">Transgenic mice</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="center">6</td>
</tr>
<tr>
<td colspan="2" align="center">4T1-Luc cells</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">4</td>
</tr>
<tr>
<td colspan="2" align="center">MDA-MB-231-Luc cells</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">3</td>
</tr>
<tr>
<td colspan="2" align="center">EAT tumors</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">3</td>
</tr>
<tr>
<td colspan="2" align="center">SKBR-3 cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
</tr>
<tr>
<td colspan="2" align="center">MMTV-Wnt1 tumors</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td colspan="2" align="center">MDA-MB-468 cells</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td colspan="2" align="center">MCF-7/adr cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td colspan="2" align="center">BT-474 cells</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
</tr>
<tr>
<td colspan="2" align="center">SUM159 cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">MDA-MB-361 cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">MDA-MB-231/GFP</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">MCF10DCIS cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">MCF-7/T cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">MCF-7/DOX cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">FM3A cells</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">EMT6M cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">BT20 cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">ALDH (high) BCSCs cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">4T1/rLu/GFP cells</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">4T1-luc-GFP cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">4T1-fluc-red cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">3T3/4T1 cells</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">1</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="9" align="left">Route of administration</td>
</tr>
<tr>
<td colspan="2" align="center">p.o</td>
<td align="center">16</td>
<td align="center">0</td>
<td align="center">15</td>
<td align="center">16</td>
<td align="center">0</td>
<td align="center">15</td>
<td align="center">31</td>
</tr>
<tr>
<td colspan="2" align="center">i.v</td>
<td align="center">24</td>
<td align="center">0</td>
<td align="center">24</td>
<td align="center">43</td>
<td align="center">0</td>
<td align="center">5</td>
<td align="center">48</td>
</tr>
<tr>
<td colspan="2" align="center">i.p</td>
<td align="center">33</td>
<td align="center">0</td>
<td align="center">25</td>
<td align="center">46</td>
<td align="center">0</td>
<td align="center">12</td>
<td align="center">58</td>
</tr>
<tr>
<td colspan="2" align="center">i.g</td>
<td align="center">5</td>
<td align="center">0</td>
<td align="center">4</td>
<td align="center">6</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">9</td>
</tr>
<tr>
<td colspan="2" align="center">s.c</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td colspan="2" align="center">intratumorally</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3</td>
</tr>
<tr>
<td colspan="2" align="center">peritumorally</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
</tr>
<tr>
<td colspan="2" align="center">Injected (route not specified)</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">3</td>
<td align="center">5</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">6</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In monotherapy, the use of delivery systems showed similar positive effects on tumor weight (50.0% and 55.95%) compared to the free compounds. Furthermore, in terms of tumoral volume, it was shown that their inclusion in delivery systems led to better outcomes compared to their non-included counterparts (80.0% and 70.24%). As for the cotreatment group, the difference between the positive effects observed for triterpenes included in delivery systems was more pronounced compared to the free compounds in terms of tumor volume (91.18% and 76.0%), while displaying similar positive effects in tumor weight (50.0% and 48.0%).</p>
<p>The subgroup analysis on tumoral models showed the positive effects were more frequently observed on 4T1 models (62.22% in tumor weight and 88.89% in tumor volume) compared to MBA-MB-231 (50.0% and 90.63%) and MCF-7 (50.0% and 86.36%). However, on DMBA-induced tumor models, transgenic mice and 4T1-Luc cells, the proportion of positive effects was significantly lower on both endpoints (46.67% tumor weight and 53.33% tumor volume; 33.33% and 33.33%; 16.67% and 16.67%).</p>
<p>In terms of route of administration, it was shown that the most positive effects on tumor volume were observed when the compounds were administered i. v. (89.58%), i. p. (79.31%), i. g. (66.67%), while the p. o. administration showed lower results compared to the other routes (51.61%). In regards to the tumor weight, all the routes showed similar results, the highest ones registered for i. p. administration (56.9%) and i. g. administration (55.56%).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussions</title>
<p>Our analysis revealed that triterpenes, triterpenoids, their formulations or cotreatments with other drugs reduce tumor weight, volume and metastasis of breast cancer in rodent models. These effects are achieved through diverse mechanisms, showing reduced toxicity as well.</p>
<p>The eligible articles were published between 2003&#x2013;2024, with a notable increase observed from 2016 onward, supporting the increased interest in medicinal plants, often used in ethnomedicine, as a rich source of compounds with therapeutic potential in cancer prevention and management (<xref ref-type="bibr" rid="B37">Hashim et al., 2024</xref>). The majority of the articles were published in China and India, two Asian countries where traditional medicine is well-preserved (<xref ref-type="bibr" rid="B62">Liu et al., 2023</xref>) and remains the main treatment option for the majority of the population (<xref ref-type="bibr" rid="B59">Liu, 2021</xref>; <xref ref-type="bibr" rid="B117">Yao et al., 2023</xref>), due to tradition and affordability (<xref ref-type="bibr" rid="B82">Oyebode et al., 2016</xref>). Unsurprisingly, a 2020 literature survey (<xref ref-type="bibr" rid="B119">Yeung et al., 2020</xref>) indicates that for the last 2&#xa0;decades, these countries have been the leading contributors to ethnopharmacology, the interdisciplinary exploration of traditional remedies, including plants, minerals, fungi, microbes and animals (<xref ref-type="bibr" rid="B87">Pirintsos et al., 2022</xref>; <xref ref-type="bibr" rid="B97">Schultz and Garbe, 2023</xref>).</p>
<p>The rodent models used in breast cancer studies have specific characteristics that make them suitable for certain research purposes (<xref ref-type="bibr" rid="B112">Welsh, 2013</xref>). Inbred mice species, which were used by the majority of studies included in the analysis, are widely accessible, affordable and have a high genetic similarity to humans (<xref ref-type="bibr" rid="B16">Boggess et al., 2004</xref>); they also possess traits that make them relevant for breast cancer studies, such as the susceptibility of Balb/c mice to MMTV-induced mammary tumors (<xref ref-type="bibr" rid="B21">Cheon and Orsulic, 2011</xref>). The immunodeficient mice were the second most prevalent choice identified and, despite allowing the formation and study of human breast cancer xenografts, the tumor growth and drug response in mice might not entirely replicate the human response (<xref ref-type="bibr" rid="B100">Shultz et al., 2014</xref>). Genetically modified mice, which are considered a better option for target validation, tumor response assessment, and identification of pharmacodynamic drug markers (<xref ref-type="bibr" rid="B99">Sharpless and DePinho, 2006</xref>), were also used. However, even with specific genetic alterations made to mimic human disease, inherent differences between species are inevitable and have to be considered (<xref ref-type="bibr" rid="B18">Borowsky, 2011</xref>). A few studies have also used rats, which show better similarities to human breast cancer compared to mouse models (<xref ref-type="bibr" rid="B71">Miller et al., 2022</xref>), in particular for the hormone receptor-positive type, which accounts for 70% of the invasive cancer forms in humans (<xref ref-type="bibr" rid="B75">Nicotra et al., 2024</xref>). Two species of mice were used in six studies, enhancing our understanding of the mechanisms and effects of triterpenes in various cancer models. However, in the future, these extensive studies should be made on highly active compounds to minimize unnecessary animal use in experiments, aligning with international regulations such as the European Union&#x2019;s &#x201c;Three Rs&#x201d; principles that promote replacement, reduction, and refinement in animal research (<xref ref-type="bibr" rid="B26">European Commission, 2025</xref>).</p>
<p>Female animals were predominantly used in the studies, reflecting the human incidence as women&#x2019;s breast cancer cases make up 99% of the total (<xref ref-type="bibr" rid="B52">Kreiter et al., 2014</xref>), with only 1% affecting men (<xref ref-type="bibr" rid="B34">G&#xf3;mez-Raposo et al., 2010</xref>). However, about 10% of the studies did not report the sex of the animals used. This could be a serious limitation as sex differences are considered an important factor in the pathogenesis of cancer and in the drug response to chemotherapeutics (<xref ref-type="bibr" rid="B50">Klein and Flanagan, 2016</xref>). The studies that reported the animals&#x2019; age varied between 3 and 10 weeks; however, a significant proportion of the studies failed to report the age of the animals or used unclear terms such as &#x201c;adult&#x201d;. The reasons for choosing the age of the rodents in studies seem to be linked more to practicality and cost, rather than rodent particularities in different development stages (<xref ref-type="bibr" rid="B42">Jackson et al., 2017</xref>). For instance, liver metabolism differs in young <italic>versus</italic> old rodents (<xref ref-type="bibr" rid="B72">Mori et al., 2007</xref>; <xref ref-type="bibr" rid="B86">Pibiri et al., 2015</xref>) and can seriously impact xenobiotic metabolism. Future studies need to report more accurately the information regarding the animals used for their experiments and take into consideration age-related particularities when designing an experiment.</p>
<p>In the evaluated articles, breast cancer has been mainly modeled using allografts and xenografts obtained through various methods of administration, such as subcutaneously, intratumorally, and intravenously (<xref ref-type="sec" rid="s13">Supplementary Material</xref>). Allografts are created by inoculating cells from the same species, typically mice, into another immunocompetent host (<xref ref-type="bibr" rid="B116">Yang et al., 2017</xref>) - although they are easily obtained their similarity to human breast cancer is limited. Xenografts are formed by injecting human cancerous cells into immunodeficient mice, offering a better but not perfect resemblance to human conditions for drug testing (<xref ref-type="bibr" rid="B60">Liu C et al., 2021</xref>; <xref ref-type="bibr" rid="B102">Singhal et al., 2023</xref>). Some studies utilized genetically modified mice, better suited for studying targeted therapies, modeling drug resistance and target validation (<xref ref-type="bibr" rid="B38">Holen et al., 2017</xref>). DMBA (7,12-dimethylbenzantracene), which induces breast cancer by generating free radicals and DNA damage (<xref ref-type="bibr" rid="B47">Khazaei et al., 2018</xref>) was also used scarcely as this model has inherent limitations such as difficulty to predict the location and time necessary for tumor development (<xref ref-type="bibr" rid="B17">Boix-Montesinos et al., 2021</xref>).</p>
<p>A significant proportion of the studies have investigated the effects of free triterpenes, naturally occurring compounds with anticancer potential in breast cancer (<xref ref-type="bibr" rid="B103">&#x15e;oica et al., 2021</xref>). However, due to their reduced bioavailability, they have a limited therapeutic effect (<xref ref-type="bibr" rid="B9">Atriya et al., 2023</xref>) Several strategies have been employed to overcome this limitation, as reflected in our search, where 60% of the articles utilized a wide range of approaches, including chemical derivatization, association with other drugs, and formulations for an enhanced anticancer effect.</p>
<p>Pentacyclic triterpenes and dammarane triterpenes (ginsenosides) were well-represented in the analyzed studies either in free form, derivatives, cotreatment or formulations due to their proven <italic>in vitro</italic> potential in breast cancer (<xref ref-type="bibr" rid="B9">Atriya et al., 2023</xref>; <xref ref-type="bibr" rid="B23">Deng et al., 2023</xref>).</p>
<p>Triterpenes were predominantly administered by i. p., i. v. and p. o. routes that are considered suitable for repeated administrations in rodents despite their disadvantages such as high first-pass metabolism (i.p. and p. o.), technical challenges (i.v.), need for sterility (i.p. and i. v.) and risk of injury if they are not properly used. In particular, i. p. administration is considered appropriate for proof-of-concept studies where the primary objective is to assess a candidate&#x2019;s direct biological effect over pharmacokinetic investigations (<xref ref-type="bibr" rid="B3">Al Shoyaib et al., 2020</xref>), while p. o. and i. v routes are considered more suitable for clinical transition.</p>
<p>The triterpenes and triterpenoids were administered in doses ranging from 1.5&#xa0;&#x3bc;g/kg (AECHL-1) to 250&#xa0;mg/kg (BA). This wide range results from the structural diversity of this class, with more than 30,000 compounds isolated so far (<xref ref-type="bibr" rid="B12">Banerjee et al., 2019</xref>) and numerous semisynthetic derivatives (<xref ref-type="bibr" rid="B76">Nistor et al., 2022</xref>) that lead to different <italic>in vivo</italic> potencies. In preliminary studies, it is common for various compound doses to be tested to identify the maximum tolerated dose, an important parameter for toxicity assessment (<xref ref-type="bibr" rid="B6">Amorim et al., 2024</xref>). Two studies testing 2 and 4&#xa0;mg/kg Cel (<xref ref-type="bibr" rid="B90">Raja et al., 2011</xref>) and 27 and 81&#xa0;ppm CDDO-Me have found increased toxicity at the higher doses, providing valuable information regarding the safety profiles of these compounds. Several studies have incorporated the tested compounds into animal feed, while others have administered the compounds through gavage (forced feeding) (<xref ref-type="table" rid="T2">Table 2</xref>, <xref ref-type="sec" rid="s13">Supplementary Material</xref>). While incorporating the compounds into the diet better simulates human intake and is more appropriate for chemoprevention studies, it also leads to unpredictable intake (<xref ref-type="bibr" rid="B123">Kapetanovic et al., 2011</xref>). On the other hand, gavage offers better drug intake accuracy but is considered more stressful for the animals and can lead to gavage-related reflux (<xref ref-type="bibr" rid="B22">Damsch et al., 2011</xref>) and esophageal injuries (<xref ref-type="bibr" rid="B3">Al Shoyaib et al., 2020</xref>).</p>
<p>The diversity of treatment duration across studies offers a broad perspective on the effect and toxicity of triterpenes, as single dose studies are important for preliminary evaluation of a new candidate (<xref ref-type="bibr" rid="B80">Organisation for Economic Co-operation and Development, 2002</xref>). Longer studies, which are better suited for the potential of clinical translation (<xref ref-type="bibr" rid="B81">Organisation for Economic Co-operation and Development, 2025</xref>), offer a more in-depth understanding on the effects of triterpenes. The treatment duration is limited by other factors such as costs involved and the need to reduce the animal pain in the late-phase of tumor development (<xref ref-type="bibr" rid="B51">Knight, 2011</xref>).</p>
<p>The studies that provided data on tumor weight and volume indicated that triterpenes, in all tested forms, reduced both weight and volume compared to negative controls. These values were either lowered or comparable to those in positive controls, with only a few studies reporting increased values compared to positive controls. Notably, one study (<xref ref-type="bibr" rid="B104">Song et al., 2020</xref>) employed only the positive control (&#x3b2;-actin) necessary to normalize the expression of certain proteins related to Rg3&#x2019;s mechanism of action in breast cancer. This approach is justified here, as the anticancer effect of Rg3 in breast cancer has already been shown in previous studies (<xref ref-type="bibr" rid="B61">Liu Z et al., 2021</xref>), and the study focused on elucidating its mechanisms rather than validating its effectiveness. Although these results might not identically translate in human studies due to species particularities (<xref ref-type="bibr" rid="B121">Zheng et al., 2021</xref>), these consistent findings across diverse rodent models reinforce the efficacy of triterpenes in breast cancer. However, many articles reported neither one nor both of these outcomes. This might be due to the use of alternative outcome measurements such as tumor growth inhibition or tumor burden score, that were not collected for this review and are a limitation of our review design. Another limitation to be considered is the subjective interpretation of tumor weight and volume trends from the graphics, as the data was provided graphically rather than numerically. We have employed independent double screening and resolved the disagreements through discussions with a third reviewer to diminish this bias.</p>
<p>Although elucidating the mechanism of action is not essential for clinical translation or use, after the thalidomide incident, more resources were invested in ensuring drug safety, including mechanism investigation before drugs are approved by regulatory agencies (<xref ref-type="bibr" rid="B35">Greene and Podolsky, 2012</xref>). The most common mechanisms identified in our analysis were apoptosis induction and angiogenesis inhibition (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Multimodal anticancer mechanisms of triterpenes in rodent models of breast cancer (image adapted from Servier Medical Art (<ext-link ext-link-type="uri" xlink:href="https://smart.servier.com/">https://smart.servier.com/</ext-link>), licensed under CC BY 4.0 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>).</p>
</caption>
<graphic xlink:href="fphar-16-1623772-g004.tif">
<alt-text content-type="machine-generated">Diagram illustrating cancer treatment mechanisms: apoptosis induction (ursolic acid, AECHL-1, celastrol); angiogenesis inhibition (oleanolic acid, cucurbitacin B); signaling pathways modulation (Wnt/&#x3B2;-catenin inhibition by oleanolic acid, IL-12/STAT4, and JNK1/2 pathway activation).</alt-text>
</graphic>
</fig>
<p>Apoptosis is a programmed cell death that can be induced through intrinsic and extrinsic pathways that lead to caspase activation and characteristic cell alterations such as DNA fragmentation and blebbing of the cell membrane (<xref ref-type="bibr" rid="B101">Singh and Lim, 2022</xref>). Inhibition of apoptosis is partly responsible for the anticancer effect of standard drugs used for breast cancer treatment, such as DOX (<xref ref-type="bibr" rid="B74">Nicoletto and Ofner, 2022</xref>), PTX (<xref ref-type="bibr" rid="B120">Zhao et al., 2022</xref>) and tamoxifen (<xref ref-type="bibr" rid="B2">Ahmed et al., 2021</xref>). Several studies in our analysis have also observed that triterpenes increased Bax/Bcl-2 ratio and cleaved caspase-3 levels, two apoptosis markers (<xref ref-type="bibr" rid="B92">Saddam et al., 2024</xref>), effects confirmed in human breast cancer cell lines such as MCF-7 and MDA-MB231 as well (<xref ref-type="bibr" rid="B98">Shahrestanaki et al., 2023</xref>).</p>
<p>Angiogenesis, the process of new blood vessel formation from pre-existing ones, has an important role in the development and dissemination of solid tumors, including breast cancer (<xref ref-type="bibr" rid="B10">Ayoub et al., 2022</xref>). The efficacy of angiogenesis inhibitors in breast cancer is limited due to tumor resistance by activation of pre-angiogenic factors (<xref ref-type="bibr" rid="B91">Ruan et al., 2022</xref>) and bevacizumab, a humanized anti-VEGF monoclonal antibody, previously approved through FDA&#x2019;s Accelerated Approval Program for the treatment of metastatic breast cancer had this indication revoked in 2011 due to safety and efficacy concerns (<xref ref-type="bibr" rid="B96">Sasich and Sukkari, 2012</xref>). Our analysis showed that triterpenes decreased VEGF and CD31, two vital angiogenesis markers that have been measured in breast cancer patients where increased VEGF serum and tissue levels was associated with distant metastasis and poor outcome (<xref ref-type="bibr" rid="B4">Ali et al., 2011</xref>) and increased CD31 tissue levels were associated with high invasiveness (<xref ref-type="bibr" rid="B95">Sapino et al., 2001</xref>).</p>
<p>Angiogenesis is also involved in the metastatic process of breast cancer, promoting tumor dissemination to other organs (<xref ref-type="bibr" rid="B10">Ayoub et al., 2022</xref>; <xref ref-type="bibr" rid="B36">Harry and Ormiston, 2021</xref>). The collected data indicates that many triterpenes can reduce lung metastasis in rodents, with a limited number of studies assessing the other organs commonly affected by breast cancer metastasis, such as the bones, liver, and brain (<xref ref-type="bibr" rid="B41">Ibragimova et al., 2023</xref>). Wnt/&#x3b2;-catenin signaling plays an important role in cell proliferation, metastasis, immune microenvironment regulation, and therapeutic resistance in breast cancer (<xref ref-type="bibr" rid="B114">Xu et al., 2020</xref>). Currently, none of the Wnt/&#x3b2;-catenin signaling inhibitors studied have passed phase II trials, despite this being the most altered pathway in breast cancer and an important chemotherapeutic target (<xref ref-type="bibr" rid="B73">Mukherjee and Panda, 2020</xref>). Cell proliferation can also be assessed through specific markers such as PCNA, Ki-67, and minichromosome maintenance proteins (MCM), which can have prognostic value for breast cancer (<xref ref-type="bibr" rid="B44">Jur&#xed;kov&#xe1; et al., 2016</xref>). Triterpenes have inhibited the Wnt/&#x3b2;-catenin signaling pathway and decreased PCNA and Ki-67 levels, showing antiproliferative potential in rodents. Triterpenes have also decreased matrix metalloproteinases (MMP) in rodents, especially MMP-2 and -9, which seem to play a crucial role in breast cancer tumorigenesis, though their role is not completely understood. While both have been established in breast cancer patients, increased MMP-9 levels are associated with a poor prognosis, while increased MMP-2 levels are linked to prolonged survival time (<xref ref-type="bibr" rid="B20">Cheng et al., 2022</xref>). Currently, no MMP inhibitors have received FDA approval for breast cancer treatment, and many broad-spectrum MMP inhibitors have been halted in early-stage clinical trials due to a lack of specificity and toxicity (<xref ref-type="bibr" rid="B53">Kwon, 2023</xref>).</p>
<p>Other signaling pathways emerging as potential chemotherapeutic targets for breast cancer (<xref ref-type="bibr" rid="B78">N&#xfa;&#xf1;ez-Marrero, 2019</xref>; <xref ref-type="bibr" rid="B113">Wood et al., 2018</xref>), including the IL-12/STAT4 pathway and the JNK1/2 pathway, were also altered by triterpenes, showcasing their versatile abilities to suppress breast cancer.</p>
<p>As some of these mechanisms have been identified in both <italic>in vitro</italic> studies of human breast cancer cells and in rodents, which are more complex models, this might support the clinical relevance of triterpenes for human studies. A comparison of standard therapeutic classes used in breast cancer and triterpenes&#x2019; mechanisms is presented in <xref ref-type="table" rid="T7">Table 7</xref>. Although triterpenes do not exert their effect in breast cancer exactly as standard drugs, their multi-target approach could lower cancer resistance and toxicity. Nonetheless, precautions must be taken concerning emerging mechanisms involved in breast cancer that, despite having tremendous potential as drug targets, also pose significant risks until more information is collected.</p>
<table-wrap id="T7" position="float">
<label>TABLE 7</label>
<caption>
<p>Mechanistic comparison: triterpenes vs. standard therapeutic classes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Therapeutic approach</th>
<th align="left">Drugs</th>
<th align="left">Primary mechanism of action</th>
<th align="left">References</th>
<th align="left">Triterpenes mechanism (comparison)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">Chemoterapy</td>
<td align="left">Alkylating agents (cisplatin)</td>
<td align="left">Inducing cell death by apoptosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B79">Oliveira et al. (2024)</xref>
</td>
<td align="left">Activation of apoptosis through several mechanisms, increased cleaved caspase-3 Bax/Bcl-2 ratio</td>
</tr>
<tr>
<td align="left">Antimitotic agents (PTX, docetaxel, ixabepilone, eribulin)</td>
<td align="left">Stabilizing microtubules and preventing cell division</td>
<td align="left">Inhibit cell division through cell cycle arrest G0/G1</td>
</tr>
<tr>
<td align="left">Antimetabolites (5-fluorouracil, capecitabine)</td>
<td align="left">Inhibit thymidylate synthase</td>
<td align="left">Do not target thymidylate synthase, but induce cell death through multiple mechanisms</td>
</tr>
<tr>
<td align="left">Anthracyclines (DOX, epirubicin)</td>
<td align="left">Inhibit topoisomerase II and increase the production of ROS</td>
<td align="left">Increase ROS production through other pathways</td>
</tr>
<tr>
<td rowspan="2" align="left">Hormone therapy</td>
<td align="left">Selective estrogen receptor modulators (tamoxifen)</td>
<td align="left">Acts as an antagonist of estrogen receptors in breast tissue and an agonist in bone tissue</td>
<td align="left">
<xref ref-type="bibr" rid="B67">Marina et al. (2023)</xref>
</td>
<td rowspan="2" align="left">Do not directly influence the estrogen pathway</td>
</tr>
<tr>
<td align="left">Aromatase inhibitors (letrozole)</td>
<td align="left">Inhibit the aromatase and block the synthesis of estrogen in peripheral tissues</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Bhatnagar (2007)</xref>
</td>
</tr>
<tr>
<td align="left">HER-2 targeted therapy</td>
<td align="left">Monoclonal antibodies (trastuzumab)</td>
<td align="left">Binds to the HER-2 receptor and inhibits downstream signaling, inducing cytotoxicity and phagocytosis</td>
<td align="left">
<xref ref-type="bibr" rid="B69">Mercogliano et al. (2023)</xref>
</td>
<td align="left">Can decrease the expression of HER-2 receptors or inhibit HER-2 phosphorylation</td>
</tr>
<tr>
<td align="left">CDK4/6 inhibitors</td>
<td align="left">Palbociclib, ribociclib, abemaciclib</td>
<td align="left">Inhibit CDK4/6-RB pathway in breast cancer cells and induce cell cycle arrest in G1</td>
<td align="left">
<xref ref-type="bibr" rid="B85">Pernas et al. (2018)</xref>
</td>
<td align="left">Induce cell cycle arrest in G0/G1</td>
</tr>
<tr>
<td align="left">Angiogenesis inhibitors</td>
<td align="left">Bevacizumab (FDA authorization revoked for breast cancer)</td>
<td align="left">Inhibit VEGF-A and tumor development</td>
<td align="left">
<xref ref-type="bibr" rid="B58">Li et al. (2022)</xref>
</td>
<td align="left">Inhibition of angiogenesis markers: VEGF and CD31 expression</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The data presented in the majority of the studies suggest that triterpenes have a promising safety profile with no observed or significant toxicity in rodents. However, several studies have observed significant weight loss and in rare cases, leukopenia, hepatotoxicity and mortality at certain doses. Specifically, CuB in association with gemcitabine led to leukopenia at doses of 1&#xa0;mg/kg (<xref ref-type="bibr" rid="B7">Aribi et al., 2013</xref>) and mortality at 3&#xa0;mg/kg dose (<xref ref-type="bibr" rid="B105">Suebsakwong et al., 2019</xref>), effects that are absent when a smaller dose or a CuB prodrug is used. Triterpenes also reduced the toxicity of standard drugs such as DOX when used in combination, suggesting the benefit of their use in associations. However, a significant gap exists due to lack of toxicity assessment in several studies analyzed, impediments an objective toxicity assessment of these compounds, which further studies must address.</p>
<p>The development of nanotechnology has had a major impact on the creation of pharmaceutical formulations with improved bioavailability, safety, and patient compliance, allowing for the delivery of highly lipophilic or chemically unstable drugs (<xref ref-type="bibr" rid="B70">Milan et al., 2022</xref>). The results discussed in one review support the strong antitumor potential of delivery systems incorporating pentacyclic triterpenoids. Among these, self-assembling nanocarriers with inherent anticancer activity have emerged as a particularly promising direction for future research. Such systems not only reduce the risk of adverse drug events but also enhance drug accumulation at the tumor site (<xref ref-type="bibr" rid="B46">Kaps et al., 2021</xref>). For instance, nanoformulations containing BA, such as NPs, liposomes, polymeric micelles, nanotubes, nanogels, nanofibers, and nanosuspensions have demonstrated excellent therapeutic effects across a wide range of cancers, including breast cancer. In particular, they have substantially improved the solubility and bioavailability of BA, while also enhancing its anticancer efficacy through strategies such as controlled release and targeted delivery (<xref ref-type="bibr" rid="B111">Wang et al., 2024</xref>). Furthermore, the data analyzed in our review supports that the inclusion of free triterpenic derivatives in different types of nanocarriers might reduce toxic effects, leading to reduced mortality rates, no significant weight loss, no modifications in the rodents&#x2019; blood tests and no observed histopathological changes.</p>
<p>In the risk of bias analysis, we did not identify any study that checked all the criteria assessed, showing that the methodological rigor in animal studies can be improved in the future. As no study reported an allocation concealment or blinding of the research personnel regarding the treatment and control groups, the results reported and our analysis might be negatively impacted and should be taken into account. Moreover, our analysis revealed that a significant number of studies had unclear risk of bias for both sequence generation (96.93%) and random housing (75.46%), posing significant concerns that in the absence of proper animal randomization, the effects of triterpenes in breast cancer models might be overestimated. Other limitations of the review to be considered are the absence of a quality assessment due to the extensive number of included studies, publication bias (exclusion of abstracts, conferences, or proceedings), language bias (English-language only), database bias (only searching three databases), positive results bias (positive results are more likely to be published) and articles that could not be retrieved and were excluded from the analysis as they might contain relevant information on the subject.</p>
<p>Our primary vote-counting analysis showed that triterpenes reduce tumor weight (52.76%) and volume (76.68%) in a significant number of studies. However, as a considerable number of studies, (23.32% for tumor volume and 47.24% for tumor weight), failed to measure and report these metrics, these encouraging findings should be interpreted with caution, taking into account the methodological shortcomings identified in the risk of bias assessment. Our primary results are also supported by a sensitivity analysis of articles with more rigorous methodology. The analysis showed that triterpenes have a positive effect on both tumor weight (100%) and volume (50%), indicating that the overall findings are not only a result of studies with methodological weaknesses. Nevertheless, the reduced sample size used for this analysis (n &#x3d; 2) limits our ability to draw a definitive conclusion. Further research with more meticulously designed protocols, aligned with renowned guidelines such ARRIVE guidelines (<xref ref-type="bibr" rid="B84">Percie du Sert et al., 2020</xref>), are needed to confirm these promising results.</p>
<p>We performed a vote-counting analysis on predefined subgroups to explore potential sources of heterogeneity in our assessment. Our subgroup analysis revealed that free triterpenes performed better than triterpenoids on tumor weight and volume, results consistent in both monotherapy and cotreatment settings. These results come in contrast with the results of many <italic>in vitro</italic> studies, which often report superior anticancer effects for triterpenoids (<xref ref-type="bibr" rid="B63">Lombrea et al., 2023</xref>; <xref ref-type="bibr" rid="B118">Ye et al., 2017</xref>). This suggests that in rodent models, the anticancer effect is highly dependent on the chemical structure of native triterpenes, a factor that may be related to differences in the mechanism of action and bioavailability. Our analysis also showed that in the monotherapy group, the use of carriers has a potent effect, particularly in reducing tumor volume, while the effect on tumor weight was similar to that of free compounds. The same consistent results were observed in the cotreatment group, but in this group, the differences were more pronounced, suggesting the use of carriers in combinational therapy might exacerbate the antitumor effect of triterpenes.</p>
<p>Taking into account the utilized tumor models, the analysis revealed that the positive effects were mostly observed in 4T1, MBA-MB-231 and MCF-7 tumor models. A solid explanation for this predilection might be supported by the large variety of preclinical studies involving these types of cell lines (<xref ref-type="bibr" rid="B8">Atiya et al., 2019</xref>; <xref ref-type="bibr" rid="B55">Lee et al., 2015</xref>; <xref ref-type="bibr" rid="B94">Sahu et al., 2024</xref>; <xref ref-type="bibr" rid="B106">Tao et al., 2008</xref>). The highly observed percentages for the positive effects (50%&#x2013;62% for tumor weight and 85%&#x2013;90% for tumor volume) might suggest a robust efficacy tendency in these established models. It has been well established that these cell lines represent standard models for triple-negative mammary cancer (4T1 and MBA-MB-231) and luminal (MCF-7) cancer (<xref ref-type="bibr" rid="B30">Garbar et al., 2017</xref>), hence offering translational relevance. However, in chemical-induced (DMBA) or transgenic models, the results showed less effective results (33% and 16%). These results could be explained by the fact that these rodent models are limited by their low heterogeneity compared to the highly heterogeneous human tumors (<xref ref-type="bibr" rid="B54">Lampreht Tratar et al., 2018</xref>) hence, the anticancer effects of triterpenes and triterpenoids could be stronger in a highly heterogeneous tumor microenvironment (<xref ref-type="bibr" rid="B107">Tonello et al., 2025</xref>). These results strongly suggest that more complex models that mimic the human tumoral environment are required in future studies.</p>
<p>Comparing the results in the route of administration subgroup, we found that all routes showed similar results for tumor weight, showing that the long-term effect of triterpenes is not dependent on the route of administration. In contrast, the route of administration had a significant effect on the tumor volume, a marker for early tumor shrinkage in breast cancer (<xref ref-type="bibr" rid="B19">Che et al., 2020</xref>). Interestingly, the routes that avoid the first-pass metabolism, i. v. and i. p. had a strong positive effect in reducing tumor volume, while the i. g. administration, which also avoids first-pass metabolism, had shown a lower efficacy, suggesting that the influence of the gastric environment might reduce triterpenes&#x2019; bioavailability and efficacy. These findings are also supported by the moderate positive effect on tumor volume of triterpenes administered orally.</p>
</sec>
<sec id="s5">
<title>Future directions</title>
<p>Current evidence of triterpenes in rodent models of breast cancer is promising but to achieve clinical translation, future investigations are needed. Several areas of improvement are the following:<list list-type="roman-lower">
<list-item>
<p>optimization of preclinical models: stringent methodologies (baseline characteristics, allocation concealment, blinding of personnel, ethical approval), methodological transparency, use of patient-xenograft models for better translatability;</p>
</list-item>
<list-item>
<p>mechanistic understanding: study of molecular pathways involved in the anticancer effect of triterpenes in different subtypes of breast cancer;</p>
</list-item>
<list-item>
<p>optimization of nanoformulations and its use in combinational therapy: to overcome bioavailability and toxicological challenges;</p>
</list-item>
<list-item>
<p>complex pharmacokinetic and pharmacodynamic studies: complex studies to help identify the optimal formulations and doses in animal models;</p>
</list-item>
<list-item>
<p>rigorous toxicological studies: study of the molecular mechanisms involved in the toxicity of triterpenes (e.g., hepatotoxicity, leukopenia) and identification of strategies to reduce these effects.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>Conclusion</title>
<p>Our analysis showed that triterpenes were tested in free form, chemical derivatives, delivery systems (liposomes, micelles, NPs) and association with other drugs in different rodent models of breast cancer, yielding promising results in terms of tumor weight and volume reduction. Our primary vote-counting analysis results have shown that triterpenes have positive effects on key outcomes, such as tumor weight and volume, findings confirmed by a sensitivity analysis. The subgroup analysis highlighted key findings: free triterpenes were more effective than triterpenoids in both monotherapy and combination treatments; delivery systems significantly improved early tumor volume reduction, especially in cotreatment scenarios; greater positive effects were seen in well-established tumor models (4T1, MDA-MB-231, and MCF-7), while chemically-induced or transgenic models were less effective; all administration routes demonstrated similar long-term effects on tumor weight, but methods bypassing first-pass metabolism (i.v. and i. p.) led to greater early tumor volume reduction.</p>
<p>Triterpenes exerted their effects primarily through the induction of apoptosis, along with angiogenesis and metastasis inhibition; however, other mechanisms, including the inhibition of the Wnt/&#x3b2;-catenin signaling pathway, the activation of the IL-12/STAT4 pathway, and the activation of the JNK1/2 pathway, were also observed. Determining the structure-activity relationship could accelerate the understanding of the triterpenes&#x2019; mechanism of action.</p>
<p>Reduced toxicity has been observed in the majority of the studies, with only a few reporting significant weight loss that might indicate some degree of toxicity. Notable side effects, such as hepatotoxicity, mortality and leukopenia were also observed in a limited number of studies for certain triterpenes used in higher doses; toxicity that could be reduced by the use of nanocarriers. Major limitations that hamper our assessment are the lack of data on the mechanisms of action or safety in a substantial number of studies and the methodological shortcomings identified in the risk of bias assessment (lack of randomization and blinding), which could have contributed to the observed positive effects of triterpenes.</p>
<p>Future research must employ more rigorously designed studies aligned with international guidelines to ensure transparency and reproducibility that are needed to validate these results. We conclude that while the evidence for the effects of triterpenes in rodent models of breast cancer is positive, it currently does not support clinical translation until further understanding is obtained regarding the mechanisms of action, the structure-activity relationship, and safety.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s13">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>AP: Methodology, Conceptualization, Investigation, Formal Analysis, Writing &#x2013; original draft. AM: Investigation, Conceptualization, Writing &#x2013; original draft, Methodology, Formal Analysis. MJ: Data curation, Methodology, Writing &#x2013; original draft, Investigation. OB: Data curation, Methodology, Writing &#x2013; original draft, Investigation. MM: Writing &#x2013; original draft, Methodology, Validation. IS: Writing &#x2013; original draft. CT: Writing &#x2013; review and editing. CS: Supervision, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1623772/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1623772/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="DataSheet2.xlsx" id="SM2" mimetype="application/xlsx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/20573/overview">John M. Seubert</ext-link>, University of Alberta, Canada</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/602154/overview">Ali Hafez El-Far</ext-link>, Damanhour University, Egypt</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2389884/overview">Omowumi Adewale</ext-link>, Osun State University, Nigeria</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3159723/overview">Thi Phuong Nhung Tran</ext-link>, Industrial University of Ho Chi Minh City, Vietnam</p>
</fn>
</fn-group>
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<sec id="s14">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fphar.2025.1623772">
<bold>20(S)-PPD</bold>
</term>
<def>
<p>protopanaxadiol</p>
</def>
</def-item>
<def-item>
<term id="G2-fphar.2025.1623772">
<bold>25-OCH3-PPD</bold>
</term>
<def>
<p>ginsenoside 20(S)-25-methoxyl-dammarane-3b, 12b, 20-triol</p>
</def>
</def-item>
<def-item>
<term id="G3-fphar.2025.1623772">
<bold>AA</bold>
</term>
<def>
<p>asiatic acid</p>
</def>
</def-item>
<def-item>
<term id="G4-fphar.2025.1623772">
<bold>AMR-Me</bold>
</term>
<def>
<p>methyl-25-hydroxy-3-oxoolean-12-en-28-oate</p>
</def>
</def-item>
<def-item>
<term id="G5-fphar.2025.1623772">
<bold>AS-IV</bold>
</term>
<def>
<p>astragaloside IV</p>
</def>
</def-item>
<def-item>
<term id="G6-fphar.2025.1623772">
<bold>BA</bold>
</term>
<def>
<p>betulinic acid</p>
</def>
</def-item>
<def-item>
<term id="G7-fphar.2025.1623772">
<bold>Bet</bold>
</term>
<def>
<p>betulin</p>
</def>
</def-item>
<def-item>
<term id="G8-fphar.2025.1623772">
<bold>Bet-CA</bold>
</term>
<def>
<p>ester derivative of BA and dichloroacetate</p>
</def>
</def-item>
<def-item>
<term id="G9-fphar.2025.1623772">
<bold>BoA</bold>
</term>
<def>
<p>betulonic acid</p>
</def>
</def-item>
<def-item>
<term id="G10-fphar.2025.1623772">
<bold>BXL0124</bold>
</term>
<def>
<p>1&#x3b1;,25-dihydroxy vitamin D3</p>
</def>
</def-item>
<def-item>
<term id="G11-fphar.2025.1623772">
<bold>CA</bold>
</term>
<def>
<p>corosolic acid</p>
</def>
</def-item>
<def-item>
<term id="G12-fphar.2025.1623772">
<bold>CDDO</bold>
</term>
<def>
<p>2-cyano-3,12-dioxooleana-1,9-dien-28-oic acid</p>
</def>
</def-item>
<def-item>
<term id="G13-fphar.2025.1623772">
<bold>CDDO-Im</bold>
</term>
<def>
<p>1-(2-cyano-3,12-dioxooleana-1,9-dien-28-oyl) imidazole</p>
</def>
</def-item>
<def-item>
<term id="G14-fphar.2025.1623772">
<bold>CDDO-Me</bold>
</term>
<def>
<p>2-cyano-3,12-dioxooleana-1,9(11)-dien-28-oic acid</p>
</def>
</def-item>
<def-item>
<term id="G15-fphar.2025.1623772">
<bold>Ce6</bold>
</term>
<def>
<p>Clorine 6</p>
</def>
</def-item>
<def-item>
<term id="G16-fphar.2025.1623772">
<bold>Cel</bold>
</term>
<def>
<p>celastrol</p>
</def>
</def-item>
<def-item>
<term id="G17-fphar.2025.1623772">
<bold>CK</bold>
</term>
<def>
<p>ginsenoside CK, 20-O-beta-D-glucopyranosyl-20(S)-proto-panaxa-diol, compound K</p>
</def>
</def-item>
<def-item>
<term id="G18-fphar.2025.1623772">
<bold>CMC-Na</bold>
</term>
<def>
<p>sodium carboxymethyl cellulose</p>
</def>
</def-item>
<def-item>
<term id="G19-fphar.2025.1623772">
<bold>CuB</bold>
</term>
<def>
<p>cucurbitacin B</p>
</def>
</def-item>
<def-item>
<term id="G20-fphar.2025.1623772">
<bold>DABO-Me</bold>
</term>
<def>
<p>methyl 3&#x3b2;-O-[4-(2-aminoethylamino)-4-oxo-butyryl]olean-12-ene-28-oate</p>
</def>
</def-item>
<def-item>
<term id="G21-fphar.2025.1623772">
<bold>DMBA</bold>
</term>
<def>
<p>7,12-dimethylbenz(a)anthracene</p>
</def>
</def-item>
<def-item>
<term id="G22-fphar.2025.1623772">
<bold>DMSO</bold>
</term>
<def>
<p>dimethyl sulfoxide</p>
</def>
</def-item>
<def-item>
<term id="G23-fphar.2025.1623772">
<bold>DOX</bold>
</term>
<def>
<p>doxorubicin, adryamicin</p>
</def>
</def-item>
<def-item>
<term id="G24-fphar.2025.1623772">
<bold>DPBS</bold>
</term>
<def>
<p>Dulbecco&#x2019;s Phosphate-Buffered Saline</p>
</def>
</def-item>
<def-item>
<term id="G25-fphar.2025.1623772">
<bold>GA</bold>
</term>
<def>
<p>18&#x3b2;-glycyrrhetinic acid</p>
</def>
</def-item>
<def-item>
<term id="G26-fphar.2025.1623772">
<bold>HBSS</bold>
</term>
<def>
<p>Hanks&#x2019; Balanced Salt Solution</p>
</def>
</def-item>
<def-item>
<term id="G27-fphar.2025.1623772">
<bold>HCPT</bold>
</term>
<def>
<p>hydroxycamptothecin</p>
</def>
</def-item>
<def-item>
<term id="G28-fphar.2025.1623772">
<bold>Ir</bold>
</term>
<def>
<p>irinotecan</p>
</def>
</def-item>
<def-item>
<term id="G29-fphar.2025.1623772">
<bold>JSI-124</bold>
</term>
<def>
<p>cucurbitacin I</p>
</def>
</def-item>
<def-item>
<term id="G30-fphar.2025.1623772">
<bold>ITSN</bold>
</term>
<def>
<p>isotoosendanin</p>
</def>
</def-item>
<def-item>
<term id="G31-fphar.2025.1623772">
<bold>LMWH</bold>
</term>
<def>
<p>Low molecular weight heparin</p>
</def>
</def-item>
<def-item>
<term id="G32-fphar.2025.1623772">
<bold>MMP</bold>
</term>
<def>
<p>matrix metalloproteinases</p>
</def>
</def-item>
<def-item>
<term id="G33-fphar.2025.1623772">
<bold>NBT</bold>
</term>
<def>
<p>lup-20(29)-en-3&#x3b2;,28-di-yl-nitrooxy acetate</p>
</def>
</def-item>
<def-item>
<term id="G34-fphar.2025.1623772">
<bold>NIR</bold>
</term>
<def>
<p>near-infrared radiation</p>
</def>
</def-item>
<def-item>
<term id="G35-fphar.2025.1623772">
<bold>NPs</bold>
</term>
<def>
<p>nanoparticles</p>
</def>
</def-item>
<def-item>
<term id="G36-fphar.2025.1623772">
<bold>OA</bold>
</term>
<def>
<p>oleanolic acid</p>
</def>
</def-item>
<def-item>
<term id="G37-fphar.2025.1623772">
<bold>PBS</bold>
</term>
<def>
<p>phosphate-buffered saline</p>
</def>
</def-item>
<def-item>
<term id="G38-fphar.2025.1623772">
<bold>PCNA</bold>
</term>
<def>
<p>proliferating cell nuclear antigen</p>
</def>
</def-item>
<def-item>
<term id="G39-fphar.2025.1623772">
<bold>PD-L1</bold>
</term>
<def>
<p>programmed cell death 1 ligand 1 antibody</p>
</def>
</def-item>
<def-item>
<term id="G40-fphar.2025.1623772">
<bold>PEG</bold>
</term>
<def>
<p>polyethylene glycol</p>
</def>
</def-item>
<def-item>
<term id="G41-fphar.2025.1623772">
<bold>PICO</bold>
</term>
<def>
<p>Population-Intervention-Comparator-Outcomes</p>
</def>
</def-item>
<def-item>
<term id="G42-fphar.2025.1623772">
<bold>PRISMA</bold>
</term>
<def>
<p>Preferred Reporting Items for Systematic reviews and Meta-Analyses</p>
</def>
</def-item>
<def-item>
<term id="G43-fphar.2025.1623772">
<bold>PROSPERO</bold>
</term>
<def>
<p>International Prospective Register of Systematic Review</p>
</def>
</def-item>
<def-item>
<term id="G44-fphar.2025.1623772">
<bold>PSD</bold>
</term>
<def>
<p>pulsatilla saponin D</p>
</def>
</def-item>
<def-item>
<term id="G45-fphar.2025.1623772">
<bold>PSN</bold>
</term>
<def>
<p>P-selectin targeting peptide</p>
</def>
</def-item>
<def-item>
<term id="G46-fphar.2025.1623772">
<bold>PTX</bold>
</term>
<def>
<p>paclitaxel</p>
</def>
</def-item>
<def-item>
<term id="G47-fphar.2025.1623772">
<bold>QDT</bold>
</term>
<def>
<p>oleanolic quaternary ammonium derivative</p>
</def>
</def-item>
<def-item>
<term id="G48-fphar.2025.1623772">
<bold>Rb1</bold>
</term>
<def>
<p>ginsenoside Rb1</p>
</def>
</def-item>
<def-item>
<term id="G49-fphar.2025.1623772">
<bold>Rb3</bold>
</term>
<def>
<p>ginsenoside Rb3</p>
</def>
</def-item>
<def-item>
<term id="G50-fphar.2025.1623772">
<bold>Rd</bold>
</term>
<def>
<p>ginsenoside Rd</p>
</def>
</def-item>
<def-item>
<term id="G51-fphar.2025.1623772">
<bold>Rg1</bold>
</term>
<def>
<p>ginsenoside Rg1</p>
</def>
</def-item>
<def-item>
<term id="G52-fphar.2025.1623772">
<bold>Rg2</bold>
</term>
<def>
<p>ginsenoside Rg2</p>
</def>
</def-item>
<def-item>
<term id="G53-fphar.2025.1623772">
<bold>Rg3</bold>
</term>
<def>
<p>ginsenoside Rg3</p>
</def>
</def-item>
<def-item>
<term id="G54-fphar.2025.1623772">
<bold>Rg5</bold>
</term>
<def>
<p>ginsenoside Rg5</p>
</def>
</def-item>
<def-item>
<term id="G55-fphar.2025.1623772">
<bold>Rh1</bold>
</term>
<def>
<p>ginsenoside Rh1</p>
</def>
</def-item>
<def-item>
<term id="G56-fphar.2025.1623772">
<bold>Rh2</bold>
</term>
<def>
<p>ginsenoside Rh2</p>
</def>
</def-item>
<def-item>
<term id="G57-fphar.2025.1623772">
<bold>Rh4</bold>
</term>
<def>
<p>ginsenoside Rh4</p>
</def>
</def-item>
<def-item>
<term id="G58-fphar.2025.1623772">
<bold>Rk1</bold>
</term>
<def>
<p>ginsenoside Rk1</p>
</def>
</def-item>
<def-item>
<term id="G59-fphar.2025.1623772">
<bold>SsA</bold>
</term>
<def>
<p>saikosaponin A</p>
</def>
</def-item>
<def-item>
<term id="G60-fphar.2025.1623772">
<bold>SsD</bold>
</term>
<def>
<p>saikosaponin D</p>
</def>
</def-item>
<def-item>
<term id="G61-fphar.2025.1623772">
<bold>Squ</bold>
</term>
<def>
<p>squamocin</p>
</def>
</def-item>
<def-item>
<term id="G62-fphar.2025.1623772">
<bold>TRAIL</bold>
</term>
<def>
<p>tumor necrosis factor-related apoptosis-inducing ligand</p>
</def>
</def-item>
<def-item>
<term id="G63-fphar.2025.1623772">
<bold>TSN</bold>
</term>
<def>
<p>toosendanin</p>
</def>
</def-item>
<def-item>
<term id="G64-fphar.2025.1623772">
<bold>UA</bold>
</term>
<def>
<p>ursolic acid</p>
</def>
</def-item>
<def-item>
<term id="G65-fphar.2025.1623772">
<bold>WOS</bold>
</term>
<def>
<p>Web of science</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>