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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1126944</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2023.1126944</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Exosomal circular RNAs: New player in breast cancer progression and therapeutic targets</article-title>
<alt-title alt-title-type="left-running-head">Hussen 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/fgene.2023.1126944">10.3389/fgene.2023.1126944</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hussen</surname>
<given-names>Bashdar Mahmud</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1199912/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mohamadtahr</surname>
<given-names>Sayran</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Abdullah</surname>
<given-names>Snur Rasool</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2144729/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hidayat</surname>
<given-names>Hazha Jamal</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1499836/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rasul</surname>
<given-names>Mohammad Fatih</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1527464/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hama Faraj</surname>
<given-names>Goran Sedeeq</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ghafouri-Fard</surname>
<given-names>Soudeh</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1244274/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Taheri</surname>
<given-names>Mohammad</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/712936/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Khayamzadeh</surname>
<given-names>Maryam</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1804208/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jamali</surname>
<given-names>Elena</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Analysis</institution>, <institution>College of Pharmacy</institution>, <institution>Hawler Medical University</institution>, <addr-line>Erbil</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Center of Research and Strategic Studies</institution>, <institution>Lebanese French University</institution>, <addr-line>Erbil</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Medical Laboratory Science</institution>, <institution>Lebanese French University</institution>, <addr-line>Erbil</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Biology</institution>, <institution>College of Education</institution>, <institution>Salahaddin University-Erbil</institution>, <addr-line>Erbil</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pharmaceutical Basic Science</institution>, <institution>Faculty of Pharmacy</institution>, <institution>Tishk International University</institution>, <addr-line>Erbil</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Medical Laboratory Science</institution>, <institution>Komar University of Science and Technology</institution>, <addr-line>Sulaimany</addr-line>, <country>Iraq</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Medical Genetics</institution>, <institution>School of Medicine</institution>, <institution>Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Institute of Human Genetics</institution>, <institution>Jena University Hospital</institution>, <addr-line>Jena</addr-line>, <country>Germany</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Urology and Nephrology Research Center</institution>, <institution>Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Cancer Research Center</institution>, <institution>Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Academy of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff12">
<sup>12</sup>
<institution>Department of Pathology</institution>, <institution>Loghman Hakim Hospital</institution>, <institution>Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/731105/overview">Manoj Kumar Kashyap</ext-link>, Amity University Gurgaon, India</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1069785/overview">Manju Kashyap</ext-link>, San Sebasti&#xe1;n University, Chile</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1459808/overview">Xichen Bao</ext-link>, Guangzhou Institutes of Biomedicine and Health (CAS), China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Mohammad Taheri, <email>mohammad_823@yahoo.com</email>; Maryam Khayamzadeh, <email>khayamzadeh@yahoo.com</email>; Elena Jamali, <email>Elena.jamali@yahoo.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to RNA, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1126944</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hussen, Mohamadtahr, Abdullah, Hidayat, Rasul, Hama Faraj, Ghafouri-Fard, Taheri, Khayamzadeh and Jamali.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Hussen, Mohamadtahr, Abdullah, Hidayat, Rasul, Hama Faraj, Ghafouri-Fard, Taheri, Khayamzadeh and Jamali</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>Breast cancer is the most prevalent type of malignancy among women. Exosomes are extracellular vesicles of cell membrane origin that are released <italic>via</italic> exocytosis. Their cargo contains lipids, proteins, DNA, and different forms of RNA, including circular RNAs. Circular RNAs are new class of non-coding RNAs with a closed-loop shape involved in several types of cancer, including breast cancer. Exosomes contained a lot of circRNAs which are called exosomal circRNAs. By interfering with several biological pathways, exosomal circRNAs can have either a proliferative or suppressive role in cancer. The involvement of exosomal circRNAs in breast cancer has been studied with consideration to tumor development and progression as well as its effects on therapeutic resistance. However, its exact mechanism is still unclear, and there have not been available clinical implications of exo-circRNAs in breast cancer. Here, we highlight the role of exosomal circRNAs in breast cancer progression and to highlight the most recent development and potential of circRNAas therapeutic targets and diagnostics for breast cancer.</p>
</abstract>
<kwd-group>
<kwd>breast cancer (BC)</kwd>
<kwd>exosome</kwd>
<kwd>circular RNA (circRNA)</kwd>
<kwd>exosomal circRNA (exo-circRNA)</kwd>
<kwd>therapeutic target</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Breast cancer (BC) is the most common cancer in women and represents a leading cause of death on a worldwide scale in women (<xref ref-type="bibr" rid="B112">Torre et al., 2015</xref>; <xref ref-type="bibr" rid="B12">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="B102">Siegel et al., 2018</xref>). Breast cancer treatment options include surgery, radiotherapy, chemotherapy, endocrine therapy, and targeted therapy that have allowed for more accurate and tailored care for patients with early-stage. However, the 26% 5-year survival rate for metastatic BC patients shows that this treatment is still a real challenge (<xref ref-type="bibr" rid="B84">Malmgren et al., 2018</xref>). The exact molecular pathways behind its etiology are still unknown. Recent studies have shown a number of potential mechanisms by which non-coding RNAs (ncRNAs), like circRNAs, regulate the progression of BC.</p>
<p>Exosomes are nanometric vesicles of endosomal origin containing material from the host cell, such as proteins, lipids, DNA, and RNA (<xref ref-type="bibr" rid="B35">Hegmans et al., 2008</xref>). These vesicles are secreted by exocytosis and are taken up by other cells, influencing their functions and behavior, and can be used as a drug carrier for cancer therapy (<xref ref-type="bibr" rid="B31">Ghafouri-Fard et al., 2021a</xref>; <xref ref-type="bibr" rid="B45">Hussen et al., 2022</xref>). Tumorous cells use exosomes to communicate with their surroundings like other body cells. In recent years, research has shown that circRNA-enriched exosomes are involved in the hallmarks of cancer (<xref ref-type="bibr" rid="B108">Su et al., 2019</xref>). In addition, they have a vital role in promoting tumor progression by creating a suitable microenvironment for their proliferation and metastasis (<xref ref-type="bibr" rid="B51">Jia et al., 2017</xref>; <xref ref-type="bibr" rid="B56">Kalluri and LeBleu, 2020</xref>).</p>
<p>Recently, a new class of non-coding RNA called circular RNA (circRNA) was discovered in exosomes. These are single-stranded RNA molecules that have been covalently closed to make a loop (<xref ref-type="bibr" rid="B48">Jeck and Sharpless, 2014</xref>). Due to their distinctive structure, circRNAs have a longer half-life and better resistance capabilities to RNase and exonuclease than linear RNAs; and they are abundance in tumorous exosomes (<xref ref-type="bibr" rid="B101">Seimiya et al., 2020</xref>).</p>
<p>Initially, Li et al. were the first to report that exosomes contained a lot of circRNAs (<xref ref-type="bibr" rid="B69">Li et al., 2015a</xref>). They found that the entry of circRNAs into exosomes was controlled by a number of factors or pathways, such as changing the expression of key miRNAs in the parent cells. Another pathway through which circRNAs get access to exosomes is <italic>via</italic> binding to RNA-associated proteins (<xref ref-type="bibr" rid="B4">Bao et al., 2016</xref>). Exo-circRNAs can have an oncogenic role or suppressive effect by interfering with several biological pathways (<xref ref-type="bibr" rid="B151">Zhang et al., 2019</xref>) and sponging miRNAs which can inhibit gene expression at transcriptional level (<xref ref-type="bibr" rid="B131">Xing et al., 2020</xref>). More interestingly, new studies revealed that exo-circRNAs can contribute to cancer cell sensitivity to chemotherapy or hormonal and radiation therapy (<xref ref-type="bibr" rid="B78">Liu et al., 2021</xref>) (<xref ref-type="bibr" rid="B142">Yang et al., 2020</xref>) (<xref ref-type="bibr" rid="B73">Liang et al., 2019a</xref>).</p>
<p>Although our understanding of exo-circRNAs&#x2019; functions has greatly expanded during the past 2&#xa0;decades, but their precise mechanism remains unclear. In addition, there is still no clinical implication of exo-circRNAs in BC. Therefore, the main aim of this review is to provide a comprehensive description of the different aspects of the exo-circRNAs that contribute to BCs&#x2019; development and to discuss the therapeutic targets based on exo-circRNA as anti-cancer responses.</p>
</sec>
<sec id="s2">
<title>2 Biogenesis of exosome</title>
<p>Endosomes serve as a starting point for the production of exosomes (<xref ref-type="fig" rid="F1">Figure 1</xref>). The creation of intraluminal vesicles begins with the invagination of the plasma membrane, which leads to the production of early endosomes. Meanwhile, early endosomes develop into multivesicular bodies (MVBs) that store many intraluminal vesicles (<xref ref-type="bibr" rid="B114">van Niel et al., 2011</xref>; <xref ref-type="bibr" rid="B97">Raposo and Stoorvogel, 2013</xref>). Exosomes originate from these intraluminal vesicles. When MVBs connect with a cell membrane, they release exosomes into the surrounding environment.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Schematic representation of exosome biosynthesis and secretion. Exosomes are formed through endocytic membrane invagination and ILV formation inside the cell. Payloads (RNA, proteins, DNA) are incorporated into ILV in an ESCRT-dependent or/and -independent manner during the maturation of early endosomes, which results in the formation of MVBs. MVBs with the plasma membrane results in the release of exosomes into the extracellular space, and MVBs can be transported along microtubules to the Golgi apparatus for endosome recycling or to lysosomes for degradation. Several key components including Rab GTPases and SNARE complexes are required for MVB fusion with the cellular membrane.</p>
</caption>
<graphic xlink:href="fgene-14-1126944-g001.tif"/>
</fig>
<p>The endosomal sorting complex necessary for transport (ESCRT) is a key player in exosome formation (<xref ref-type="bibr" rid="B87">Mattissek and Teis, 2014</xref>). ESCRT is made up of five protein complexes: ESCRT-0, ESCRT-1, ESCRT-2, ESCRT-3, and VPS4A (<xref ref-type="bibr" rid="B36">Henne et al., 2013</xref>). The clustering of ubiquitinated payloads is facilitated by ESCRT-0, which is composed of the substrate and signal-transducing adaptor protein for the tyrosine kinase. VPS4A disassembles the ESCRT machinery for recycling; ESCRT-I and ESCRT-II are responsible for bud formation, while ESCRT-III initiates vesicle scission (<xref ref-type="bibr" rid="B43">Hurley and Hanson, 2010</xref>). Both early endosomes and MVBs survive after critical subunits of the four ESCRTs are knocked out, despite potential substantial changes in the shape of the components of the endocytic pathway (<xref ref-type="bibr" rid="B107">Stuffers et al., 2009</xref>). It is possible that proteins other than ESCRT are involved in regulating endosomal sorting, such as CD63 (<xref ref-type="bibr" rid="B114">van Niel et al., 2011</xref>), CD81 tetraspanin ligands (<xref ref-type="bibr" rid="B96">Perez-Hernandez et al., 2013</xref>), CD9, CD82 (<xref ref-type="bibr" rid="B7">Chairoungdua et al., 2010</xref>), and RAB31 (<xref ref-type="bibr" rid="B122">Wei et al., 2021</xref>).</p>
<sec id="s2-1">
<title>2.1 Secretion of exosomes</title>
<p>Multivesicular endosomes (MVEs) in cells can merge with the lysosome, sending their contents to be degraded, or they can fuse with the plasma membrane to send their contents out into the extracellular environment as exosomes (<xref ref-type="bibr" rid="B114">van Niel et al., 2011</xref>; <xref ref-type="bibr" rid="B58">Kowal et al., 2014</xref>). Secretion of exosomes is thought to be controlled by certain Rab GTPases (<xref ref-type="bibr" rid="B106">Stenmark, 2009</xref>). For instance, Rab27a, Rab27b (<xref ref-type="bibr" rid="B92">Ostrowski et al., 2010</xref>), and Rab35 (<xref ref-type="bibr" rid="B138">Yang et al., 2019a</xref>) are involved in MVE docking at the plasma membrane. If Rab27a or/and Rab27b silenced, exosome release is suppressed without noticeable changes to the exosomes&#x2019; protein composition or morphology. Additionally, two of Rab27&#x2019;s effectors, Slp4 and Slac2b, are responsible for a decrease in exosome secretion upon their silencing (<xref ref-type="bibr" rid="B92">Ostrowski et al., 2010</xref>). Likewise, by preventing Rab27a from being degraded by the proteasome, KIBRA regulates exosome secretion (<xref ref-type="bibr" rid="B103">Song et al., 2019</xref>). Furthermore, vesicle-membrane SNAREs (v-SNAREs) and target-membrane SNAREs (t-SNAREs) worked together to control MVE fusion with the plasma membrane (<xref ref-type="bibr" rid="B47">Jahn and Scheller, 2006</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Biological characteristics of exosomes</title>
<p>Exosomes are made by almost every cell (<xref ref-type="bibr" rid="B161">Zhao et al., 2021</xref>). They are detected to be circulating in fluids and secretions of the body, like urine, blood, bile, tears, semen, saliva, cerebrospinal and amniotic fluids (<xref ref-type="bibr" rid="B27">Geng et al., 2020</xref>). Moreover, exosomes play crucial regulatory roles in intercellular communications, locally and systematically (<xref ref-type="bibr" rid="B119">Wang et al., 2019a</xref>) by acting as signalling vesicles in autocrine, endocrine, juxtracrine, and paracrine (<xref ref-type="bibr" rid="B20">EL Andaloussi et al., 2013</xref>). Moreover, they can transport cargo from cell to cell, causing phenotypic alterations in recipient cells (<xref ref-type="bibr" rid="B86">Mathieu et al., 2019</xref>).</p>
<p>Exosomes have been implicated in many biological processes and show an essential role in pathological and physiological situations, including cancer, circulatory and metabolic abnormalities, immune responses, and inflammatory illnesses (<xref ref-type="bibr" rid="B119">Wang et al., 2019a</xref>; <xref ref-type="bibr" rid="B56">Kalluri and LeBleu, 2020</xref>). For example, through releasing cytokines and other bioactive molecules, exosomes create an appropriate microenvironment for tumor growth and regulate cell reproduction, metastasis, and drug resistance (<xref ref-type="bibr" rid="B143">Ye et al., 2022</xref>). Exosomes also contribute to early tumorigenesis in BC, can carry signalling molecules to cancer cells inside the TME, assist cancer cells in evading an immune response, promote angiogenesis, and alter the tumor microenvironment among other functions (<xref ref-type="bibr" rid="B51">Jia et al., 2017</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 Biogenesis of circRNAs</title>
<p>CircRNAs are synthesized by RNA polymerase II transcription from pre-mRNA back-splicing, which links a 5&#x2032; splice site (downstream splice donor site) to a 3&#x2032; splice site (upstream acceptor splice site) (<xref ref-type="bibr" rid="B2">Ashwal-Fluss et al., 2014</xref>). Through alternative back-splicing, multiple circRNAs can be created from identical sequences. Despite decades of research, the precise mechanism underlying circRNA production is not fully understood. CircRNAs are categorized into three classes based on their structure and cycling mechanisms: exonic circRNA (ecircRNA) (<xref ref-type="bibr" rid="B156">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B9">Chen et al., 2015</xref>), circular intronic RNA (ciRNA) (<xref ref-type="bibr" rid="B158">Zhang et al., 2013</xref>), and exon-intron circRNA (ElciRNA) (<xref ref-type="bibr" rid="B70">Li et al., 2015b</xref>). EcircRNAs are primarily found in the cytoplasm and have one or more exons resulting from alternative splicing (<xref ref-type="bibr" rid="B156">Zhang et al., 2014</xref>). The biosynthesis of ecircRNAs can be explained by one of three potential models: lariat-driven, RBP-mediated, and intron-pairing-driven (<xref ref-type="bibr" rid="B49">Jeck et al., 2013</xref>). When RNA is folded, exons are skipped and ecircRNAs are created. These rearrangements cause the creation of lariat structures, which are clusters of nearby exons and introns previously located far from each other. After the intron sequence is spliced out using the lariat structure, circular RNAs are produced (<xref ref-type="fig" rid="F2">Figure 2</xref>). It is believed that back-splicing and canonical splicing are linked because the majority of highly expressed circRNAs are constructed from many internal exons of pre-mRNAs and a small number of introns (<xref ref-type="bibr" rid="B156">Zhang et al., 2014</xref>). Nevertheless, identifying the co-expression of circRNAs and their putative linear RNAs with exon exclusion has been challenging because of the quick degradation of untranslated linear RNAs (<xref ref-type="bibr" rid="B48">Jeck and Sharpless, 2014</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>CircRNA biogenesis. <bold>(A)</bold> Exon skipping creates an mRNA with exons one and four and a lariat structure or intronic lariat escape from debranching and produced intronic circRNAs (ciRNAs). <bold>(B)</bold> Back-splicing occurs initially, followed by further processing to create linear mRNA from circRNA with exons and introns. The first type, called &#x201c;intron-pairing driven circularization,&#x201d; occurs when complementary segments on either side of an intron pair up to carry the splice sites closer together and facilitate circularization. The second type, called &#x201c;RBP mediated circularization,&#x201d; occurs when RBPs bind with the intron binding sites to bring the splice sites closer together and initiate circularization.</p>
</caption>
<graphic xlink:href="fgene-14-1126944-g002.tif"/>
</fig>
<p>CircRNA biogenesis could be divided into two subprocesses based on the sequence of their basic steps. Lariat-driven circularization or back-splicing of a linear RNA including skipped exons and a long lariat of introns and exons generates a circRNA using the canonical splicing pathway which is called exon skipping model (<xref ref-type="fig" rid="F1">Figure 1A</xref>). However, If the RNA precursor undergoes back-splicing early, a circRNA and an intermediate containing introns and exons will be generated. After this, a linear RNA is synthesized from the RNA precursor which is called direct back splicing (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Recent studies have shown that both developed models are successful <italic>in vivo</italic> (<xref ref-type="bibr" rid="B60">Lasda and Parker, 2014</xref>; <xref ref-type="bibr" rid="B10">Chen and Yang, 2015</xref>). Direct back splicing is further categorized into two other groups: &#x201c;RBP mediated circularization&#x201d; and &#x201c;intron-pairing driven circularization&#x201d; based on the differences in circularization mechanisms (<xref ref-type="bibr" rid="B42">Huang and Zhu, 2021</xref>). Furthermore, it is exciting to discover how these factors control circRNA expression and how they modify during carcinogenesis.</p>
<sec id="s3-1">
<title>3.1 Biological characteristics of circular RNAs</title>
<p>Expression and regulation of circRNAs take place specifically by cells and tissues at different developmental stages (<xref ref-type="bibr" rid="B14">Conn et al., 2015</xref>). The majority primarily exists in the cytoplasm. Scientists have studied their function as post-transcriptional regulators (<xref ref-type="bibr" rid="B33">Han et al., 2018</xref>). Although there is no comprehensive description of circRNAs properties and biological implications (<xref ref-type="bibr" rid="B113">Tran et al., 2020</xref>), thus far, it has been shown to act like miRNA sponges, interact with proteins, regulate the splicing or transcription of genes, translate proteins, and exert epigenetic regulations (<xref ref-type="bibr" rid="B33">Han et al., 2018</xref>). Having diverse functions in the body, circRNAs involvement in various body diseases, such as cardiovascular diseases (<xref ref-type="bibr" rid="B1">Altesha et al., 2019</xref>), renal diseases (<xref ref-type="bibr" rid="B53">Jin et al., 2020a</xref>), chronic liver diseases (<xref ref-type="bibr" rid="B150">Zeng et al., 2021</xref>), skin diseases (<xref ref-type="bibr" rid="B127">Wu et al., 2020</xref>) and cancers (<xref ref-type="bibr" rid="B29">Ghafouri-Fard et al., 2022a</xref>; <xref ref-type="bibr" rid="B30">Ghafouri-Fard et al., 2022b</xref>).</p>
<p>Studies continuously demonstrate that abnormally expressed circRNAs are associated with several features of cancer (<xref ref-type="bibr" rid="B65">Li J. et al., 2020</xref>), in particular carcinogenesis, programmed cell death, proliferation, invasiveness, metastatic abilities, resistance to radiotherapy and chemotherapy, and cancer prognosis (<xref ref-type="bibr" rid="B27">Geng et al., 2020</xref>).</p>
<p>Dysregulation in circRNA gene expression is considered one of the important factors causing the onset and progression of gynecological cancers (<xref ref-type="bibr" rid="B113">Tran et al., 2020</xref>). In addition, numerous studies over the last years have shown circRNAs to be tightly linked to BC, and these studies can be categorized into two major groups: those that investigate the regulatory effect in BC development and those focused on detecting different patterns of expression to elucidate possible biomarkers for diagnosis of BC or molecular subtypes (<xref ref-type="bibr" rid="B28">Ghafouri-Fard et al., 2021b</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>4 Biological implications of exosomal circRNAs in breast cancer</title>
<sec id="s4-1">
<title>4.1 Tumor regulation, cell proliferation, and angiogenesis</title>
<p>Exo-circRNAs&#x2019; contribution to tumor regulation, proliferation, and angiogenesis has been shown in many studies. When Li et al. studied tumor and paracancerous sample tissues of BC patients, they detected significant overexpression of circ_002178 in cancer tissue compared to surrounding cells. They also found that overexpression of circ_002178 <italic>in vitro</italic> caused a considerable increase in the rate of survival and the number of SUM149PT cell clones, which facilitates tumorigenesis through targeting miR-1258 and modulating the expression of KDM7A (<xref ref-type="bibr" rid="B66">Li W. et al., 2020</xref>). Further, Liu et al. used the gain and loss of function approach to study the functional role of hsa_circRNA_002178 in BC angiogenesis. They revealed that overexpression of has_circRNA_002178 was associated with poor prognosis in their microarray-based gene expression analysis. Later they proved that hsa_circRNA_002178 knockdown inhibited angiogenesis by decreasing cell survival, energy usage, and the ability to form tubes (<xref ref-type="bibr" rid="B77">Liu et al., 2020a</xref>). Likewise, Cai et al. used the same gain and loss of function to study hsa_circ_0000515. First, they detected overexpressed hsa_circ_0000515 in BC tissues. Afterward, they silenced hsa_circ_0000515 in the MCF-7 cell line. Finally, they found that MCF-7 cells were neither able to progress through their cell cycle nor able to proliferate or invade, and their angiogenetic potential was diminished through sponging miR-296-5p and modulating CXCL10 expression (<xref ref-type="bibr" rid="B5">Cai et al., 2021</xref>).</p>
<p>Furthermore, Liang and his team performed a circRNA microarray to screen for dysregulated circRNA in BC tissues. Among 2,587 abnormally expressed circRNA, there was significant overexpression of circ-ABCB10 with five to ten times more in BC cells than normal ones. Then, their bioinformatics study found that miR-1271 could represent a target for circ-ABCB10. They also found that knocking down circ-ABCB10 led to cell cycle arrest in the G0/G1 phase, suppression of colony formation, and inhibition of cell proliferation <italic>in vitro</italic> (<xref ref-type="bibr" rid="B72">Liang et al., 2017</xref>). Circ-Dnmt1 (hsa_circRNA_102,439) was overly expressed in BC cells, which caused inducing of proliferation and survival of cells. It also led to stimulation of cellular autophagy, inhibition of cellular biological aging, and increment of tumor growth (<xref ref-type="bibr" rid="B18">Du et al., 2018</xref>). These outcomes resulted from circ-Dnmt1 binding to p53 and Auf1, which triggered nuclear translocation of these tumor suppressor proteins and lowered p53 transcription (<xref ref-type="bibr" rid="B111">Tesfaye et al., 2021</xref>). <xref ref-type="table" rid="T1">Table 1</xref> shows the expression levels of several different carcinogenic exo-circRNAs in BC along with their targets and hallmarks.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Overexpressed exo-circRNAs that act as an oncogene in breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Circular RNA</th>
<th align="left">Target</th>
<th align="left">Animal model</th>
<th align="left">Cell line</th>
<th align="left">Type of specimen</th>
<th align="left">Hallmark</th>
<th align="left">Association with clinical characteristics and outcome</th>
<th align="left">Ref.</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="6" align="left">circ_002178</td>
<td rowspan="2" align="left">miR-328-3p, COL1A1</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF-10A, MDA-MB-231, MCF-7, T47D, BT549, HUVECs</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 70 patients</td>
<td align="left">Angiogenesis (&#x2b;)</td>
<td rowspan="2" align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B77">Liu et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
</tr>
<tr>
<td rowspan="4" align="left">miR-1258, KDM7A</td>
<td rowspan="4" align="left">Mice</td>
<td rowspan="4" align="left">MDA-MB-231, SUM159PT, MDA-MB-468, HCC 1806, SUM149PT</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 83 patients</td>
<td align="left">Tumourigenesis (&#x2b;)</td>
<td align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B66">Li W. et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">TNM</td>
</tr>
<tr>
<td rowspan="2" align="left">Migration (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Tumor size</td>
</tr>
<tr>
<td align="left">circ-DNMT1</td>
<td align="left">p53, Auf1</td>
<td align="left">Nude mice</td>
<td align="left">293T, HUVEC, HaCaT, BEAS2B Jurkat, MCF10A, MCF-7, MDA-MB468, SK-BR-3, HTB126, MDA-MB-231, PC3, HepG2,H460, JHH1, Hela, Du145, LnCap, SNU449</td>
<td align="left">Tumour and adjacent normal tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">N/A</td>
<td align="left">
<xref ref-type="bibr" rid="B18">Du et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">hsa_circ_0008039</td>
<td rowspan="3" align="left">miR-515-5p, CBX4</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF-7, SKBR3, MCF10A</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 35 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B40">Huang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">circRNF20</td>
<td rowspan="3" align="left">miR-487a, HIF-1&#x3b1;, HK2</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF-10A, MDA-MB-453, MCF-7, MDA-MB-231, MDA-MB-468</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 50 patients</td>
<td align="left">Tumourigenesis (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B6">Cao et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="2" align="left">circ_0007255</td>
<td rowspan="2" align="left">miR-335-5p, SIX2</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF-10A, MCF-7, MB468, MB231, T47D</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 50 patients, serum from 50 patients and 48 healthy volunteers</td>
<td align="left">Migration (&#x2b;)</td>
<td rowspan="2" align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B50">Jia et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">circABCC4</td>
<td rowspan="3" align="left">miR-154-5p, NF-&#x3ba;B and Wnt/&#x3b2;-catenin signal pathway</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MDA-MB-231, MCF-7</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 25 patients</td>
<td align="left">Migration (&#x2b;)</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B52">Jiang and Cheng (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circMYO9B</td>
<td rowspan="4" align="left">miR-4316, FOXP4</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF-10A, MDA- MB-453, BT474, T47D, MCF-7, MDA-MB231</td>
<td rowspan="4" align="left">41 cancer tissues with 21 normal adjacent tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B116">Wang et al. (2018b)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Tumor size</td>
</tr>
<tr>
<td rowspan="3" align="left">hsa_circ_001783</td>
<td rowspan="3" align="left">miR-200c-3p, ETS1, ZEB1, ZEBI2</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MCF-10A, MCF-7, 47D, MDA-MB231, SK-BR-3, BT474, MAD-MB-468,</td>
<td rowspan="3" align="left">Tumour tissues of 136 breast cancer patients, 18 paired normal tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumour size Lymph node metastasis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B80">Liu et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="4" align="left">circ&#x2010;TFF1</td>
<td rowspan="4" align="left">miR&#x2010;326, TFF1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF&#x2010;10A, BT&#x2010;549, MCF&#x2010;7, MDA-MB&#x2010;231, MDA&#x2010;MB&#x2010;453</td>
<td rowspan="4" align="left">Healthy breast tissues, BC tumor, and adjacent normal tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B93">Pan et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">EMT (&#x2b;)</td>
</tr>
<tr>
<td rowspan="2" align="left">hsa_circ_0131,242</td>
<td rowspan="2" align="left">hsa-miR-2682</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">MCF-10A, T47D, BT549, MDA- MB-468, MDA-MB -231, HCC1806</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 120 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B68">Li Y. et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">TNM stage Prognosis</td>
</tr>
<tr>
<td rowspan="5" align="left">circKIF4A</td>
<td rowspan="3" align="left">miR-152, ZEB1</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MCF-10A, MDA-MB-231, MCF-7</td>
<td rowspan="3" align="left">Tumour and normal tissues from 41 patients</td>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B54">Jin et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">miR-375, KIF4A</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF10A, SKBR3, BT474, MCF-7, T47D, BT549, MDA-MB-468, MDA-MB-453, HCC38, MDA-MB-231</td>
<td rowspan="2" align="left">N/A</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="2" align="left">Lymph node metastasis Tumour size TNM stage</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B109">Tang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td rowspan="4" align="left">circUBE2D2</td>
<td rowspan="4" align="left">miR-512-3p, CDCA3</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">BT-549, SUM-159, MDA-MB-231, MDA-MB-468, HCC38, MCF-10A</td>
<td rowspan="4" align="left">Tumour and adjacent surrounding tissues from 66 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">TNM stage</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B17">Dou et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="4" align="left">circHMCU</td>
<td rowspan="4" align="left">let-7 miRNAs, MYC, HMGA2, CCND1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MDA-MB-468, MDA-MB-231, MCF7</td>
<td rowspan="4" align="left">267 BC tissues, 58 normal BC tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B105">Song et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Node stage Histological grade</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Tumour and node stage</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="4" align="left">cirCHIPK3</td>
<td rowspan="4" align="left">miR-193a, HMGB1, PI3K/AKT axis</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF-10A, MDA-MB-468c, MCF-7, MDA-MB-453, MDA-MB-231</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 50 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B13">Chen et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Tumor size</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td rowspan="4" align="left">circ_0041732</td>
<td rowspan="4" align="left">miR-149-5p, FGF5</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MDA-MB-231, BT-549, HUVEC, MCF-10A</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 57 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B62">Li et al. (2022a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">hsa_circ_0103,552</td>
<td rowspan="3" align="left">miR-515-5p, CYR61</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MCF10A, ZR-75-1, MCF7, Bcap-37, MDA-MB-231, HCC1937</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 42 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B41">Huang et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Lymphatic metastasis</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="2" align="left">hsa_circ_0011946</td>
<td rowspan="2" align="left">miR26a/b, RFC3</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">HS-578T, SKBR-3, T47D, BT549, MCF-7, MDA-MB-231</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 3 patients</td>
<td align="left">Migration (&#x2b;)</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B165">Zhou et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">circANKS1B</td>
<td rowspan="3" align="left">miR-152-3p, miR-148a, USF1, TGF-&#x3b2;1</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF10A, BT549, T47D, MCF-7, MDA-MB-468, SK-BR-3, MDA-MB-231</td>
<td rowspan="3" align="left">23 fresh frozen tumors and surrounding normal tissues, 165 FFPE tumour tissues, 40 normal tissues</td>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B149">Zeng et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td align="left">EMT (&#x2b;)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="6" align="left">circAGFG1</td>
<td rowspan="6" align="left">miR195-5p, CCNE1</td>
<td rowspan="6" align="left">Nude mice</td>
<td rowspan="6" align="left">MCF-10A, MDA-MB-231, BT-549, MDA-MB-453, SUM-159, MDA-MB-468,</td>
<td rowspan="6" align="left">Tumour and adjacent normal tissues from 40 patients</td>
<td align="left">Tumorigenesis (&#x2b;)</td>
<td rowspan="6" align="left">Clinical stage Prognosis</td>
<td rowspan="6" align="left">
<xref ref-type="bibr" rid="B140">Yang et al. (2019c)</xref>
</td>
</tr>
<tr>
<td align="left">Angiogenesis (&#x2b;)</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circ_0005230</td>
<td rowspan="4" align="left">miR-618, CBX8</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF10A, MDA-MB-231, BT-20, MCF7, SKBR3, MDA-MB-436, T47D</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 76 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumour size</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B136">Xu et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="6" align="left">circIFI30</td>
<td rowspan="6" align="left">miR520b-3p, CD44</td>
<td rowspan="6" align="left">Nude mice</td>
<td rowspan="6" align="left">MCF-10A, BT-549, MDA-MB-468, DA-MB-231</td>
<td rowspan="6" align="left">Tumour and adjacent normal tissues from 38 patients</td>
<td align="left">Tumorigenesis (&#x2b;)</td>
<td rowspan="6" align="left">TNM stage Prognosis</td>
<td rowspan="6" align="left">
<xref ref-type="bibr" rid="B131">Xing et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td align="left">EMT (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">hsa_circ_0007534</td>
<td rowspan="3" align="left">miR-593, MUC19</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MCF-10A, MDA-MB-453, MDA-MB-231, SKBR-3, MDA-MB-468, MCF-1</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 40 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="3" align="left">Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B104">Song and Xiao (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="2" align="left">circDENND4C</td>
<td rowspan="2" align="left">miR-200c, miR-200&#xa0;b</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">SK-BR-3, MDA-MB-453, MCF-10A</td>
<td rowspan="2" align="left">Tumour and surrounding normal tissues from 43 patients</td>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Lymph node metastasis TNM stage</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B98">Ren et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">Tumour size</td>
</tr>
<tr>
<td rowspan="3" align="left">circPLK1</td>
<td rowspan="3" align="left">miR-296-5p, PLK1</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF10A, MDAMB-468, BT549, MDA-MB-453, HCC38, MDA-MB-231</td>
<td rowspan="3" align="left">Tumour and surrounding normal tissues from 57 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumour size</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B57">Kong et al. (2019)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Invasion (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td rowspan="3" align="left">circEPSTI1</td>
<td rowspan="3" align="left">miR-4753, miR-6809, BCL11A</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">HCC38, MCF-10A,184A1, MCF-7, BT549, HCC 1806, MDA-MB-231, Skbr-3, MDA-MB-415, MDA-MB-468, T47D, BT474, HEK 293T</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 240 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B8">Chen B. et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Apoptosis (-)</td>
<td align="left">Tumour size Prognosis</td>
</tr>
<tr>
<td align="left">TNM stage</td>
</tr>
<tr>
<td rowspan="4" align="left">hsa_circ_0000515</td>
<td rowspan="4" align="left">miR-296-5p, CXCL10</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF10A, MCF-7, MDA-MB-231, MDA-MB-157, SK-BR-3, SUM-159</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 340 patients</td>
<td align="left">Angiogenesis (&#x2b;)</td>
<td rowspan="4" align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B5">Cai et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circCDYL</td>
<td rowspan="4" align="left">miR-1275, ATG7, ULK1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF-7, MDA-MB-231</td>
<td rowspan="4" align="left">Plasma from 30 early BC patients, 14 benign patients, and 18 metastatic BC patients, tumor and adjacent normal tissues from 113 patients,</td>
<td rowspan="4" align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B71">Liang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Prognosis</td>
</tr>
<tr>
<td align="left">Response to therapy</td>
</tr>
<tr>
<td rowspan="4" align="left">circGFRA1</td>
<td rowspan="4" align="left">miR-34a, GFRA1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">184A1, MCF10A, BT474, BT549, MCF-7, MDA-MB-231, BT-483, BT-20, T47D, MDA-MB-468, SKBR3</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 222 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B34">He et al. (2017)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Apoptosis (-)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Prognosis Histological grade</td>
</tr>
<tr>
<td rowspan="2" align="left">hsa_circ_0004771</td>
<td rowspan="2" align="left">miR-653, ZEB2</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF-10A, BT549, T47D, MCF-7, MDA-MB-231, Hs-578T</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 51 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="2" align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B130">Xie et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circSEPT9</td>
<td rowspan="4" align="left">E2F1, EIF4A3, miR-637, LIF/Stat3 signalling pathway</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">SUM-159, BT-549, MDA-MB-453, MDA-MB-231, MDA-MB-468, MCF-10A</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 60 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">Lymph node metastasis Prognosis TNM stage</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B163">Zheng et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">FECR1 circular RNA</td>
<td rowspan="3" align="left">DNMT1, TET1</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">ZR751, MDA-MB231, T47D, MCF7, SKBR3, BT474, 293&#xa0;T</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B11">Chen N. et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
</tr>
<tr>
<td rowspan="2" align="left">circIRAK3</td>
<td rowspan="2" align="left">miR-3607, FOXC1</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF10A, HEK-293T T47D, SK-BR-3, BT-549MCF7, MDA-MB-231, HCC 1937, BT-474, HCC 1806, MDA-MB-157, HCC70, MDA-MB-436</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 35 patients</td>
<td align="left">Migration (&#x2b;)</td>
<td rowspan="2" align="left">Recurrence Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B124">Wu et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="5" align="left">circ_0006528</td>
<td rowspan="5" align="left">miR-7-5p, Raf1, MAPK/ERK signalling pathway, MEK1/2, ERK1/2</td>
<td rowspan="5" align="left">N/A</td>
<td rowspan="5" align="left">MDA-MB-231, BT-549, T-47D ZR-75-30, Hs578T, MCF-7, BT-474</td>
<td rowspan="5" align="left">97 tumour and 29 adjacent normal tissues from BC patients</td>
<td align="left">Tumorigenesis (&#x2b;)</td>
<td rowspan="5" align="left">Prognosis TNM stage</td>
<td rowspan="5" align="left">
<xref ref-type="bibr" rid="B25">Gao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="2" align="left">hsa_circ_0052112</td>
<td rowspan="2" align="left">miR-125a-5p, ZNF83</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">MDA-MB-231, MCF-7</td>
<td rowspan="2" align="left">N/A</td>
<td align="left">Migration (&#x2b;)</td>
<td rowspan="2" align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B153">Zhang et al. (2018b)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="5" align="left">circFBXL5</td>
<td rowspan="3" align="left">miR-216b, HMGA2</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MDAMB-231, MDA-MB-453, MCF-10A</td>
<td rowspan="3" align="left">39 tumor and adjacent normal tissues</td>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B167">Zhu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="2" align="left">miR&#x2010;660, SRSF6</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF-10A, T47D, SKBR3, BT474, HCC38, BT549, MDA&#x2010;MB&#x2010;453, MDA&#x2010;MB&#x2010;231, MDA-MB-468</td>
<td rowspan="2" align="left">Primary BC tissues and metastatic lung tissues, BC tissues from 150 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="2" align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B164">Zhou et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td rowspan="2" align="left">circ-TFCP2L1</td>
<td rowspan="2" align="left">miR-7, PAK1</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">MCF-10A SUM1315, HCC 1937, MDA-MB231</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 39 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="2" align="left">TNM stage</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B120">Wang et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td rowspan="4" align="left">hsa_circ_0001982</td>
<td rowspan="4" align="left">miR-143</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">HBL-100, MDA-MB-435, MDA-MB-231, MDAMB-468, MCF-7</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 29 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B110">Tang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circ-UBAP2</td>
<td rowspan="4" align="left">miR-661, MTA1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MDA-MB-231, SK-BR3, MCF-10A, MDA-MB-468BT-20, MCF-7, T47D</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 78 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B117">Wang et al. (2018c)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td rowspan="2" align="left">Apoptosis (-)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="2" align="left">hsa_circ_0072995</td>
<td rowspan="2" align="left">miR-30c-2-3p</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MDA-MB-231, MCF-7</td>
<td rowspan="2" align="left">N/A</td>
<td align="left">Migration (&#x2b;)</td>
<td rowspan="2" align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B154">Zhang et al. (2018c)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">circ_0001667</td>
<td rowspan="3" align="left">miR-4458, NCOA3</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MDA-MB-231, MCF-7</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 61 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B15">Cui et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">circRAD18</td>
<td rowspan="3" align="left">miR-3164, miR-208a, FGF2, IGF1</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">HEK 293T, MCF-10A, BT549, MDA-MB-231, BT474, MDA-MB-468, Skbr-3, HCC38, MDA-MB-453, HCC 1806, MCF-7, T47D</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 126 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B168">Zou et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Clinical stage</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="4" align="left">circACAP2</td>
<td rowspan="4" align="left">miR-29b-3p, miR-29a-3p, COL5A1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF-10A, MDA-468, MDA-MB-453, MDA-MB-231</td>
<td rowspan="4" align="left">53 samples of BC tumor and adjacent normal tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B159">Zhao et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="2" align="left">circGNB1</td>
<td rowspan="2" align="left">miR141-5p, IGF1R</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MCF-10A, HCC 1806, MDA-MB-231, MCF-7, BT549, BT474, HCC38, MDA-MB-361, T47D, SKBR-3</td>
<td rowspan="2" align="left">Tumour and adjacent normal tissues from 222 BC patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumour size Clinical stage</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B76">Liu et al. (2020c)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="4" align="left">hsa_circRPPH1_015</td>
<td rowspan="4" align="left">miR-326, ELK1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">HBL-100, MDA-MB-231, MCF-7, BCAP, MDA-MB-435</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 86 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">Tumor size</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B160">Zhao et al. (2020b)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Invasion (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Pathological grade</td>
</tr>
<tr>
<td align="left">Clinical stage</td>
</tr>
<tr>
<td rowspan="4" align="left">circ-Amotl1</td>
<td rowspan="4" align="left">c-myc</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">HepG2, MDA-MB-231</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues samples</td>
<td align="left">Tumorigenesis (&#x2b;)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B141">Yang et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">Proliferation (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">circSKA3</td>
<td rowspan="3" align="left">Itgb1, Tks5</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF10A, Jurkat, 293T, HaCaT, MCF-7, MDA-MB-468, MDA-MB-231, SK-BR-3, HTB126, HeLa, H460, CI3K, PC3, LnCap, A549, Du145, HepG2, SNU449</td>
<td rowspan="3" align="left">61 BC specimen and 55 benign tissues specimen</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="3" align="left">Stage of BC</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B19">Du et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td rowspan="4" align="left">hsa_circ_001569</td>
<td rowspan="4" align="left">PI3K-AKT pathway</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">MCF-10A, MDA-MB-453, MCF-7, MDA-MB-231, MDA-MB-468</td>
<td rowspan="4" align="left">61 BC samples and 55 benign tissues</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">Lymph node metastasis Clinical stage Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B132">Xu et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circVAPA</td>
<td rowspan="4" align="left">miR-130a-5p</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">MDA-MB-231, MCF-7</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 29 patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B166">Zhou et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Invasion (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">circBCBM1</td>
<td rowspan="3" align="left">miR-125a, BRD4, MMP9, Sonic hedgehog (SHH) signalling pathway</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">231-BR, MDA-MB-231, T47D, BT-474</td>
<td rowspan="3" align="left">13 pairs of BC and adjacent normal tissues, 6 BC brain metastasis tissues, plasma samples from 20 BC and BCBM patients</td>
<td align="left">Proliferation (&#x2b;)</td>
<td rowspan="3" align="left">Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B24">Fu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (&#x2b;)</td>
</tr>
<tr>
<td align="left">Apoptosis (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">circRNA_069718</td>
<td rowspan="3" align="left">Wnt/&#x3b2;-catenin pathway genes (&#x3b2;-catenin, c-myc, and cyclin D1)</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MCF-10A, MDA-MB-468, MCF-7, T47D, MDA-MB-231, BT20</td>
<td rowspan="3" align="left">35 tumor and adjacent normal tissues samples</td>
<td align="left">Proliferation (&#x2b;)</td>
<td align="left">TNM stage</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B151">Zhang et al. (2019)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Invasion (&#x2b;)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">Prognosis</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Cancer cells utilize a significant amount of their energy using anaerobic glycolysis (Warburg effect), a phenomenon of changing glucose to lactate for energy generation, succeeded by lactate fermentation in the absence of oxygen (<xref ref-type="bibr" rid="B21">Fadaka et al., 2017</xref>). In BC cells, circRNF20 promoted anaerobic glycolysis by increasing glucose uptake, lactate production, and ATP levels, in addition to reducing apoptosis and increasing proliferation (<xref ref-type="bibr" rid="B6">Cao et al., 2020</xref>).</p>
<p>Despite this, several circRNAs are extensively downregulated <italic>in vitro</italic> and <italic>in vivo</italic> studies of BC; these circRNAs inhibit tumor growth by sponging oncogenic miRNA or targeting other oncogenic products (<xref ref-type="table" rid="T2">Table 2</xref>). For example, Zhang and Ling Mao found circ_0000442 to be downregulated in cell lines and patient specimens. Using a variety of methods, they were able to identify the tumor suppressor circ_0000442 by its ability to sponge miR-148b-3p and decrease its proliferative effect. Furthermore, the G1 arrest effect was enhanced by circ_0000442 overexpression in cell lines, and colony formation was inhibited (<xref ref-type="bibr" rid="B157">Zhang and Mao, 2021</xref>). In the same way, Peng and Wen found that circDDX17 expression was low and there was a direct interaction between circDDX17 and miR-605, which controlled the expression of cell cycle genes (increased p21 expression and suppressed CDK1 expression) (<xref ref-type="bibr" rid="B95">Peng and Wen, 2020</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Exo-circRNAs are under-expressed and act as tumor suppressors in breast cancer.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Circular RNA</th>
<th align="left">Target</th>
<th align="left">Animal model</th>
<th align="left">Cell line</th>
<th align="left">Type of specimen</th>
<th align="left">Hallmark</th>
<th align="left">Association with clinical characteristics and outcome</th>
<th align="left">Ref.</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">circBMPR2</td>
<td rowspan="4" align="left">miR-553, USP4</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">MCF-7, MDA-MB-468, MDA-MB-231, T47D, HEK293T, ZR-75-1, SKBR3,</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 35 patients</td>
<td align="left">Proliferation (-)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B73">Liang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
</tr>
<tr>
<td rowspan="5" align="left">circ-1073</td>
<td rowspan="5" align="left">HuR, C-Caspase 3/9, E-cadherin, Vimentin</td>
<td rowspan="5" align="left">Nude mice</td>
<td rowspan="5" align="left">MCF-10A, BT-549, MDA-MB-468, SK-BR-3, MDA-MB-231, T47D, MCF-7, ZR-75-1</td>
<td rowspan="5" align="left">Tumour and adjacent normal tissues from 112 patients</td>
<td align="left">Proliferation (-)</td>
<td align="left">Prognosis</td>
<td rowspan="5" align="left">
<xref ref-type="bibr" rid="B145">Yi et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
<td align="left">Tumor size</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
<td align="left">TNM stage</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">EMT (-)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">circ_0000442</td>
<td align="left">miR-148b-3p, PTEN, PI3K-AKT pathway</td>
<td align="left">Nude mice</td>
<td align="left">MCF-10A, T47D, MDA-MB-231, MCF7, BT474, SUM-1315, SK-BR-3</td>
<td align="left">Tumour and adjacent normal tissues</td>
<td align="left">Proliferation (-)</td>
<td align="left">Prognosis</td>
<td align="left">
<xref ref-type="bibr" rid="B157">Zhang and Mao (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">circCCDC85A</td>
<td rowspan="3" align="left">miR-550a-5p, MOB1A</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">BT-549, MDAMB-231, MCF-7</td>
<td rowspan="3" align="left">58 BC tissues and 40 normal breast tissues</td>
<td align="left">Proliferation (-)</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B89">Meng et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">hsa_circ_0068033</td>
<td rowspan="4" align="left">miR-659</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF10A, T47D, MCF-7, MDA-MB-468</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 36 patients</td>
<td align="left">Proliferation (-)</td>
<td rowspan="4" align="left">Tumor size TNM stage</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B147">Yuan et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">hsa_circ_0072309</td>
<td rowspan="3" align="left">miR-492</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">T47D, MCF-7</td>
<td rowspan="3" align="left">32 tumor and adjacent normal tissues</td>
<td align="left">Proliferation (-)</td>
<td align="left">Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B137">Yan et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
<td align="left">Tumor size</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
<td align="left">Lymph node metastasis TNM stage</td>
</tr>
<tr>
<td rowspan="3" align="left">circ-VRK1</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">MDA-MB-453, BT474, MCF7, MDA-MB-231</td>
<td rowspan="3" align="left">350 tumour and 163 adjacent normal tissues</td>
<td align="left">Proliferation (-)</td>
<td align="left">Tumor size</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B67">Li and Li (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Apoptosis (&#x2b;)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td align="left">TNM stage</td>
</tr>
<tr>
<td rowspan="2" align="left">circNFIC</td>
<td rowspan="2" align="left">miR-658, UPK1A</td>
<td rowspan="2" align="left">Nude mice</td>
<td rowspan="2" align="left">MDA-MB-231, MDA-MB-468</td>
<td rowspan="2" align="left">Primary BC tissues and lung metastatic BC tissues, BC tissues from 150 patients</td>
<td align="left">Proliferation (-)</td>
<td align="left">Prognosis</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B134">Xu et al. (2020a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td rowspan="3" align="left">circTADA2As</td>
<td rowspan="3" align="left">miR-203a-3p, SOCS3</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MDA-MB-231, MCF-7, MCF-10A</td>
<td rowspan="3" align="left">121 BC tissues and 16 normal mammary gland tissues, 57 TNBC samples</td>
<td align="left">Proliferation (-)</td>
<td rowspan="3" align="left">Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B133">Xu et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">circ-ITCH</td>
<td rowspan="3" align="left">miR-214, miR-17, ITCH</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF-10A, BT-549, T47D, MCF-7, MDA-MB-231, SK-BR-3</td>
<td rowspan="3" align="left">275 BC and 68 adjacent normal tissues</td>
<td align="left">Proliferation (-)</td>
<td rowspan="3" align="left">Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B121">Wang et al. (2019c)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circRNA_000911</td>
<td rowspan="4" align="left">miR-449a, Notch1, NF-&#x3ba;B pathway</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">MCF-10A, MDA-MB-231, MCF-7, SKBR-3, MDA-MB-468, T47D, MDA-MB-453</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 35 patients</td>
<td align="left">Proliferation (-)</td>
<td rowspan="4" align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B115">Wang et al. (2018a)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
</tr>
<tr>
<td rowspan="4" align="left">circRNA_103,809</td>
<td rowspan="4" align="left">miR-532-3p</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">MCF-10A, BT20, MDA-MB-157, MCF7, MDA-MB-468, MDA-MB-231, T47D</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 65 patients</td>
<td align="left">Proliferation (-)</td>
<td align="left">Distant metastasis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B75">Liu et al. (2020b)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
<td align="left">Tumor size</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
<td align="left">TNM stage HER-2 status</td>
</tr>
<tr>
<td align="left">EMT (-)</td>
<td align="left">Prognosis</td>
</tr>
<tr>
<td rowspan="3" align="left">circFBXW7</td>
<td rowspan="3" align="left">miR-197-3p, FBXW7, FBXW7-185aa protien</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">MCF-10A, T47D, HCC38, MCF-7, BT474, MDA-MB-453, MDA-MB-231, MDA-MB-468, MA-891, BT549, 4T1, SKBR-3</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 473 patients</td>
<td align="left">Proliferation (-)</td>
<td align="left">Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B144">Ye et al. (2019)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Migration (-)</td>
<td align="left">Tumour size Lymph node metastasis</td>
</tr>
<tr>
<td align="left">TNM stage</td>
</tr>
<tr>
<td rowspan="3" align="left">circ-LARP4</td>
<td rowspan="3" align="left">miR-424, miR-761</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">HMEC, MDA-MB-468, MCF-7, BT474, MDA-MB-231,</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from 283 patients</td>
<td align="left">Proliferation (-)</td>
<td rowspan="3" align="left">Tumor size Clinical stage Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B155">Zhang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circAHNAK1</td>
<td rowspan="4" align="left">miR-421, RASA1</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF10A, BT483, BT474, MCF-7, T47D, HCC1569, SKBR3, HCC 1806, BT549, HCC38, MDA-MB-453, MDA-MB-436, MDA-MB-468, MDA-MB-231</td>
<td rowspan="4" align="left">Tumour and adjacent normal tissues from 136 patients</td>
<td align="left">Proliferation (-)</td>
<td align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B128">Xiao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
<td align="left">Tumor size</td>
</tr>
<tr>
<td rowspan="2" align="left">Invasion (-)</td>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td align="left">TNM stage</td>
</tr>
<tr>
<td rowspan="4" align="left">circRNA_0001283</td>
<td rowspan="4" align="left">miR-187, HIPK3</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF-10A, MDA-MB-231MCF-7, MDA-MB-453, MDA-MB-468</td>
<td rowspan="4" align="left">10 samples of Tumour and adjacent normal tissues</td>
<td align="left">Proliferation (-)</td>
<td rowspan="4" align="left">N/A</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B39">Hu Y. et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
</tr>
<tr>
<td rowspan="2" align="left">circASS1</td>
<td rowspan="2" align="left">miR-4443, ASS1</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">MDA-MB-231, MCF-7</td>
<td rowspan="2" align="left">N/A</td>
<td align="left">Migration (-)</td>
<td rowspan="2" align="left">N/A</td>
<td rowspan="2" align="left">
<xref ref-type="bibr" rid="B37">Hou et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td rowspan="3" align="left">circEHMT1</td>
<td rowspan="3" align="left">miR-1233-3p, KLF4</td>
<td rowspan="3" align="left">Nude mice</td>
<td rowspan="3" align="left">HMEpC, SK-BR-3, ZR-75-1, MCF-7, MDA-MB-231, MB-468, BT-549, T47D</td>
<td rowspan="3" align="left">Tumour and surrounding normal tissues from 42 patients</td>
<td align="left">Migration (-)</td>
<td align="left">Tumour size Prognosis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B82">Lu et al. (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Invasion (-)</td>
<td align="left">T&#x2019;NM stage</td>
</tr>
<tr>
<td align="left">Lymph node metastasis</td>
</tr>
<tr>
<td rowspan="4" align="left">circNR3C2</td>
<td rowspan="4" align="left">miR-513a-3p, HRD1, vimentin</td>
<td rowspan="4" align="left">Mice</td>
<td rowspan="4" align="left">MCF-7, BT549, T-47D, BT474, HEK293, MDA-MB-231</td>
<td rowspan="4" align="left">70 tissues samples of BC</td>
<td align="left">Proliferation (-)</td>
<td rowspan="4" align="left">Lymph node metastasis Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B22">Fan et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">Invasion (-)</td>
</tr>
<tr>
<td align="left">EMT (-)</td>
</tr>
<tr>
<td rowspan="4" align="left">circRNA_000554</td>
<td rowspan="4" align="left">miR-182, ZFP36</td>
<td rowspan="4" align="left">Nude mice</td>
<td rowspan="4" align="left">MCF-10A, MDA-MB-157, MDA-MB-231, SK-BR-3, SUM-159, MCF-7</td>
<td rowspan="4" align="left">138 tumour and 38 adjacent normal tissues from BC patients</td>
<td align="left">Invasion (-)</td>
<td rowspan="4" align="left">Prognosis</td>
<td rowspan="4" align="left">
<xref ref-type="bibr" rid="B85">Mao et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Migration (-)</td>
</tr>
<tr>
<td align="left">EMT (-)</td>
</tr>
<tr>
<td align="left">Apoptosis (&#x2b;)</td>
</tr>
<tr>
<td rowspan="3" align="left">circDDX17</td>
<td rowspan="3" align="left">miR-605, CDK1, p21</td>
<td rowspan="3" align="left">N/A</td>
<td rowspan="3" align="left">HBL-100, MCF-7, BT549, HCC2218, MCF-10A, BT474</td>
<td rowspan="3" align="left">Tumour and adjacent normal tissues from BC patients</td>
<td align="left">Proliferation (-)</td>
<td align="left">Lymph node metastasis</td>
<td rowspan="3" align="left">
<xref ref-type="bibr" rid="B95">Peng and Wen (2020)</xref>
</td>
</tr>
<tr>
<td rowspan="2" align="left">Apoptosis (&#x2b;)</td>
<td align="left">Tumour grade</td>
</tr>
<tr>
<td align="left">Prognosis TNM stage</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Furthermore, Li et al. compared the expression of circ-VRK1 in 350 BC tumor tissues and 163 adjacent tissues, and the results showed lower circ-VRK1 expression in tumor tissues. They also found that patients with a low level of circVRK1 expression had unfavorable clinicopathological features (<xref ref-type="bibr" rid="B67">Li and Li, 2020</xref>). Likewise, Liu and his colleagues used plasmid transfection to overexpress circRNA_103809 in cell lines, results showed that overexpression of circRNA_103809 could significantly suppress the growth of these cell lines. The team also studied proteins that are involved in the cell cycle (CyB1 and Cyd1) and found that overexpression of circRNA_103809 could stop the cell cycle at the G2/M phase (<xref ref-type="bibr" rid="B75">Liu et al., 2020b</xref>). Additionally, Xiao et al. showed a low level of circAHNAK1 in TNBC patients and cell lines. Then, they overexpressed circAHNAK1 in BC cells and found that it inhibited cancer proliferation and suppressed colony formation in two different cell lines by affecting miR-421 and RASA1 (<xref ref-type="bibr" rid="B128">Xiao et al., 2019</xref>).</p>
<p>These findings shed light on previously unknown functions of circRNAs in the BC tumor microenvironment, particularly in tumor growth regulation.</p>
</sec>
<sec id="s4-2">
<title>4.2 Regulation of EMT and tumor metastasis</title>
<p>Breast cancer is a systemic disease that commonly leads to metastatic spread (<xref ref-type="bibr" rid="B44">H&#xfc;semann et al., 2008</xref>). Metastasis is a complex and multi-step process (<xref ref-type="bibr" rid="B59">Lambert et al., 2017</xref>) that is responsible for the majority of cancer patients&#x2019; deaths (<xref ref-type="bibr" rid="B123">Wittekind and Neid, 2005</xref>). Therefore, knowing the mechanisms behind metastasis can be crucial to improve alternative therapies and creating new approaches for better managing metastatic diseases (<xref ref-type="bibr" rid="B94">Parker et al., 2022</xref>).</p>
<p>Tumor exo-circRNAs are more highly expressed in BC (<xref ref-type="bibr" rid="B16">De Palma et al., 2022</xref>). Their significance in cancer metastasis and EMT was demonstrated through sponging miRNAs and modifying tumor suppressor genes or specific signalling pathways (<xref ref-type="fig" rid="F3">Figure 3</xref>). For instance, Zeng and his colleagues showed that patients with overexpressed circANKS1B had a higher risk of metastasis to lymph nodes and higher clinical stage, as <italic>in vitro</italic> and <italic>in vivo</italic> research outcomes demonstrate that circANKS1B enhanced metastasis and invasion by inducing epithelial-to-mesenchymal transition (EMT) through TGF-&#x3b2;1 signalling pathway (<xref ref-type="bibr" rid="B149">Zeng et al., 2018</xref>). Meanwhile, Chen et al. detected overexpression of FECR1 circRNA in BC cell lines and tissue samples. Circular RNA FECR1 made tumors more aggressive and spread to other parts of the body by controlling how genes methylated and demethylated their DNA. It could do this by interacting with the FLI1 promoter <italic>in cis</italic> to start TET1 demethylase and by turning down DNMT1 <italic>in trans</italic> (<xref ref-type="bibr" rid="B11">Chen N. et al., 2018</xref>). Zhou et al. selected overexpressed hsa_circ_0011946 among 152 differentially expressed circRNA in BC. Based on miR26a/b sponging, they hypothesized that hsa_circ_0011946 targeted replication factor RFC3. When hsa_circ_0011946 was knocked down, RFC3 mRNA and protein expression were silenced. Thus, migration and invasion abilities were inhibited (<xref ref-type="bibr" rid="B165">Zhou et al., 2018</xref>). Moreover, it was discovered by Song et al. that hsa_circ_0007534, when elevated, promoted BC cell proliferation and invasion <italic>via</italic> MUC19 to modify miR-593 production, whereas hsa_circ_0007534, when downregulated, lost its oncogene properties and increased apoptosis (<xref ref-type="bibr" rid="B104">Song and Xiao, 2018</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Exosomal circRNAs act as oncogenes. Exosomal circRNAs can promote tumor cell proliferation, migration, angiogenesis, EMT and inhibit apoptosis by targeting miRNA, genes, and signalling pathways.</p>
</caption>
<graphic xlink:href="fgene-14-1126944-g003.tif"/>
</fig>
<p>Fu and his colleagues showed that circBCBM1 encourages cancer proliferation and migration. <italic>In vivo</italic> studies with mice showed that circBCBM1 also helps growth of cells and spread to the brain. Their finding suggested that circBCBM1 sponges miR-125a and modulates BRD4 regulation, leading to changes in the MMP9 expression <italic>via</italic> the Sonic hedgehog (SHH) signalling pathway (<xref ref-type="bibr" rid="B24">Fu et al., 2021</xref>). Also, Zhou et al. looked at BC and lung tissues that had spread to other parts of the body, and they found that metastatic lung samples had the most circFBXL5 upregulation. They showed that the knockdown of circFBXL5 in mouse models diminished the growth and lung metastasis of tumors. Furthermore, they revealed that circFBXL5 modulated the expression of SRSF6 <italic>via</italic> sponging miR-660 (<xref ref-type="bibr" rid="B164">Zhou et al., 2020a</xref>). Similarly, Song et al. detected circHMCU upregulation in BC cell lines, which was linked to the fast proliferative process and metastasize to the lungs. Furthermore, they found that circHMCU could impact the G1 phase cell cycle checkpoint and epithelial-mesenchymal transition (EMT) pathway of BC cells, enhancing proliferation, migration, and invasion (<xref ref-type="bibr" rid="B105">Song et al., 2020</xref>).</p>
<p>On the other hand, the expression levels of certain exo-circRNAs are reduced or inhibited in BC (<xref ref-type="fig" rid="F4">Figure 4</xref>). For example, Xu and his team performed high-throughput circular RNA microarray assays of primary BC tissues and lung metastatic tissues samples and found circNFIC to be most downregulated in metastatic lung tissues among 20 dysregulated circRNAs. Then, they overexpressed circNFIC in mouse models and detected suppression of tumor growth and lung metastasis (<xref ref-type="bibr" rid="B134">Xu et al., 2020a</xref>). Hou and his team detected the most downregulation of circASS1 in 1,137 dysregulated circRNAs in BC cells. Overexpression of circASS1 was discovered to have anti-invasion and anti-migration effects. The group hypothesized that circASS1 promotes expression of its parent gene ASS1 <italic>via</italic> sponging miR-443 (<xref ref-type="bibr" rid="B37">Hou et al., 2019</xref>). Furthermore, significant downregulation of circNR3C2 in TNBC was discovered by Fan et al., and this was inversely linked with distant metastasis and tumor invasiveness. Overexpression of circNR3C2 inhibits tumor development and metastasis by degrading vimentin, as shown by gain-of-function studies. It also promotes expression of the tumor suppressor gene HRD1 (<xref ref-type="bibr" rid="B22">Fan et al., 2021</xref>). Moa et al. determined a low level of circRNA_000554 and ZFP36 while a high level of miR-182 in BC tissues. In addition, an immunofluorescence assay was performed to evaluate expressions of EMT markers Vimentin, N-cad, and E-cad in MCF-7 cells and the results showed reduced expression of Vimentin and N-cad, and increased expression of E-cad (<xref ref-type="bibr" rid="B85">Mao et al., 2020</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Exosomal circRNAs act as tumor suppressors. By targeting miRNA, genes, and a variety of signalling pathways, exosomal circRNAs can inhibit tumor cell proliferation, migration, angiogenesis, and EMT and stimulate apoptosis.</p>
</caption>
<graphic xlink:href="fgene-14-1126944-g004.tif"/>
</fig>
<p>Additionally, circular mitochondrial RNAs (circ-mtRNAs) have been found to regulate mitochondrial function and cellular metabolism in BC. For example, a specific circ-mtRNA, called circRNA_103809, was significantly down-regulated in BC tissues compared to adjacent normal tissues (<xref ref-type="bibr" rid="B75">Liu et al., 2020b</xref>). In breast cancer cells, the overexpression of circRNA_103809 could interfere with the EMT signalling pathway, causing miR-532-3p to function improperly, resulting in G2/M phase arrest and a reduction of cell proliferation and metastasis (<xref ref-type="bibr" rid="B75">Liu et al., 2020b</xref>). However, further studies are required to better understand circ-mtRNAs&#x2019; functions and their potential as diagnostic or therapeutic targets in breast cancer.</p>
<p>These studies show that circRNAs can influence the spread of tumor cells to distant parts of the body through different mechanisms and pathways by suppressing or promoting invasion and metastasis.</p>
</sec>
<sec id="s4-3">
<title>4.3 Exosomal circRNAs and apoptosis</title>
<p>Apoptosis is programmed cell death that normally occurs through the developmental and aging stages of cells as a natural body mechanism to control the population of cells in tissues (<xref ref-type="bibr" rid="B55">Kaczanowski, 2016</xref>). Apoptosis occurs just in a single cell and does not trigger an immune response. The relative abundance of pro-apoptotic and anti-apoptotic signals within and around a cell determines whether the cell will survive or die by apoptosis (<xref ref-type="bibr" rid="B36">Henne et al., 2013</xref>).</p>
<p>Through interactions with downstream signalling pathways, circRNA can control the apoptotic process and contribute to BC pathogenesis (<xref ref-type="fig" rid="F5">Figure 5</xref>). For example, Jiang and Cheng detected overexpression of circABCC4 in BC tissues, and they found circABCC4 to be involved in cell viability, migration and apoptosis <italic>via</italic> sponging miR-154-5p. Then, with the downregulation of circABCC4, they discovered enhancement of apoptosis, as well as significant downregulation of Bc1-2 and upregulation of Cleaved/Caspase-3 (<xref ref-type="bibr" rid="B52">Jiang and Cheng, 2020</xref>). Zheng et al. investigated the role of circSEPT9, and they found upregulation of circSEPT9 was associated with advanced clinical stage and bad prognosis in TNBC. They also revealed circSEPT9&#x2019;s role in tumor growth, migration, invasion, and apoptosis <italic>via</italic> miR-637/LIF axis (<xref ref-type="bibr" rid="B163">Zheng et al., 2020</xref>). Likewise, Xie et al. detected high expression of hsa_circ_0004771 and ZEB2 in BC tumor tissues, with a reduction in the expression of miR-653. Differential knockdown of circ_0004771 and ZEB2, as well as overexpression of miR-653 in BC cells, decreased cell growth and triggered apoptosis (<xref ref-type="bibr" rid="B130">Xie et al., 2019</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The intrinsic apoptotic pathway in breast cancer and the regulatory roles of exo-circRNAs. The production of caspase-3 is reduced when tumor suppressor circRNAs are downregulated, which in turn reduces apoptosis. Contrarily, oncogenic circRNAs like hsa_circ_0068033 promote oncogenic activity by inhibiting apoptosis <italic>via</italic> activating BAX and BAK genes.</p>
</caption>
<graphic xlink:href="fgene-14-1126944-g005.tif"/>
</fig>
<p>PI3K/AKT signalling pathway is one of the main signal transition pathways inside cells, and they are remarkably important in apoptosis and cell survival regulation (<xref ref-type="bibr" rid="B90">Meng et al., 2017</xref>). According to recent evidence, the expression of cancer-related genes modulated by the circRNA/PI3K/AKT axis and suppressed apoptosis. For instance, Xu et al. detected significant upregulation of hsa_circ_001569 both in cell lines and BC tissues. When they glanced at the effects of silencing has_circ_001569 in cell lines, they found that has_circ_001569 knockdown not only stopped migration and invasion but also changed EMT markers and caused apoptosis by preventing the activation of the PI3K/AKT signalling pathway (<xref ref-type="bibr" rid="B132">Xu et al., 2019a</xref>).</p>
<p>On the other hand, the upregulation of circRNAs may induce the apoptosis process through sponging miRNAs. For example, Hu et al. found that the upregulation of circRNA_0001283 significantly inhibited cell growth and invasion while promoting apoptosis by sponging miR-187 and decreasing its expression (<xref ref-type="bibr" rid="B39">Hu Y. et al., 2020</xref>). Additionally, Yuan et al. detected downregulated hsa_circ_0068033 in BC tissues, which was significantly associated with the TNM stage and tumor size of patients. Furthermore, Yuan and his colleagues performed <italic>in vitro</italic> experiments and also found overexpressed hsa_circ_0068033 to sponge miR-659 and inhibit tumor growth in addition to inducing apoptosis through activation of intrinsic apoptotic pathways (<xref ref-type="bibr" rid="B147">Yuan et al., 2020</xref>). Furthermore, Wang et al. detected circRNA_000911 to be downregulated in BC cells. When they overexpressed circRNA_000911 in cell lines, they observed suppression of proliferation, migration, and invasion, with increased apoptotic abilities of the cells through sponging miR-449a, thus enhancing Notch1 and NF-&#x3ba;B signalling pathway (<xref ref-type="bibr" rid="B115">Wang et al., 2018a</xref>). Focusing on mechanisms in which circRNAs affect apoptosis is essential in BC since studies show that treating BC through promoting apoptosis is a promising approach.</p>
</sec>
<sec id="s4-4">
<title>4.4 Modulation of chemotherapy resistance</title>
<p>Therapy for breast cancer consists of multifaceted strategies, including surgery, radiotherapy, neoadjuvant and adjuvant therapy. It is crucial that the chosen therapy has an optimal therapeutic effect for the proper treatment of BC (<xref ref-type="bibr" rid="B23">Fisusi and Akala, 2019</xref>).</p>
<p>Tamoxifen is known as an endocrine therapy that is most frequently used for hormone receptor-positive (HR positive) patients suffering from BC. Sang and his team used RNA-seq to detect the downregulation of circRNA_0025202 in tamoxifen-resistant cells, they performed further analysis and found that circRNA_0025202 acted as a tumor suppressor. Then they treated BC cells with circRNA_0025202 alongside tamoxifen, which led to tumor growth suppression and enhanced tamoxifen sensitivity <italic>in vivo</italic> (<xref ref-type="bibr" rid="B100">Sang et al., 2019</xref>). Similarly, Liang et al. detected downregulation of circBMPR2 in BC tissues. They knocked down circBMPR2 in tamoxifen-treated cell lines, and assay results showed enhanced tamoxifen resistance by suppressing tamoxifen influenced apoptosis (<xref ref-type="bibr" rid="B73">Liang et al., 2019a</xref>).</p>
<p>On the other hand, Hu et al. found that circ_UBE2D2 was upregulated in BC tamoxifen-resistant cells and promoted resistance through combination with miR-200a-3p to modulate viability of cells, metastasis, and Er&#x3b1; level <italic>in vivo</italic> and <italic>in vitro</italic> studies (<xref ref-type="bibr" rid="B38">Hu K. et al., 2020</xref>).</p>
<p>Monastrol is a chemotherapeutic agent that suppresses tumors by hindering mitotic kinesin Eg5 needed for forming bipolar spindle. Liu et al. performed a human circRNA microarray on cancer cells resistant to monastrol and found circRNA-MTO1 to be downregulated. The team then upgraded circRNA-MTO1 expression in BC cells resistant to monastrol and showed that circRNA-MTO1 not only reversed resistance but also had a synergetic effect when used with monastrol through binding to TRAF4 and inhibiting Eg5 protein (<xref ref-type="bibr" rid="B79">Liu et al., 2018</xref>). Even though BC cells showed over-expression of circFBXL5, even more upregulation was detected in antitumor agent 5-fluorouracil (5-FU) resistant BC cells. According to study results performed by Zhu and his colleagues, circFBXL5 appeared to regulate cell migration, invasion, and apoptosis by modulating the miR-216b/HMGA2 axis (<xref ref-type="bibr" rid="B167">Zhu et al., 2021</xref>).</p>
<p>In contrast, Liang et al. detected circKDM4C downregulation in metastasized tissues of BC, which was involved in both BC advancement and chemotherapy resistance. Resistant cells to doxorubicin showed a low level of circKDM4C, while transfection of MDA-MB-231/DOX cells with circKDM4C expression vector led to reduced cell proliferation and lowered resistance (<xref ref-type="bibr" rid="B74">Liang et al., 2019b</xref>). Likewise, Zhang et al. found downregulation of circKDM4C in BC tissues and intended overexpression of circKDM4C increased sensitivity of doxorubicin-resistant cells (<xref ref-type="bibr" rid="B155">Zhang et al., 2020</xref>). Another circular RNA that impacted therapy with doxorubicin was circUBE2D2, but negatively, as it induced doxorubicin resistance. When Dou and his colleagues knocked down circUBE2D2 in TNBC cells, it reversed the chemoresistance <italic>via</italic> downregulation of miR-512-3p or upregulation of CDCA3 (<xref ref-type="bibr" rid="B17">Dou et al., 2020</xref>). Similarly, overexpression of hsa_circ_0092276 was detected in BC doxorubicin-resistant cells by Wang et al., and this overexpression contributed to the resistance through altering autophagy-related gene 7 (ATG7) <italic>via</italic> sponging miR-384 (<xref ref-type="bibr" rid="B118">Wang et al., 2021</xref>).</p>
<p>Resistance to paclitaxel is one of the concerns in TNBC patients undergoing chemotherapy. Ma and his colleagues overexpressed circAMOTL1 in BC cells through plasmid construct, which improved cell viability, reduced apoptosis, and promoted invasion ability in MDA-MB-231 cells treated with paclitaxel. CircAMOTL contributed to resistance <italic>via</italic> AKT pathway regulation, promotion of anti-apoptotic protein, and suppression of pro-apoptotic protein (<xref ref-type="bibr" rid="B83">Ma et al., 2019</xref>). Meanwhile, Zang et al. observed circ-RNF111 upregulation in cells resistant to paclitaxel compared to cells responding to paclitaxel. When the team knocked down Circ-RNF111, the resistance of BC cells to paclitaxel was suppressed both <italic>in vivo</italic> and <italic>in vitro</italic> by upregulating E2F3 <italic>via</italic> sponging miR-140-5p (<xref ref-type="bibr" rid="B148">Zang et al., 2020</xref>). Li et al. detected 3.34 times increase of hsa_circ_0000199 in TNBC tissues compared to non-TNBC tissues. Breast cancer cells with silenced hsa_circ_0000199 became more sensitive to paclitaxel, cisplatin, gemcitabine, and adriamycin therapies in TNBC. Improved chemotherapeutic outcomes were achieved through enhanced expression of miR-206/miR-613 and inactivated PI3K/Akt/mTOR signalling (<xref ref-type="bibr" rid="B64">Li et al., 2021</xref>). In addition, Goa and his colleagues spotted a higher level of circ_0006528 in BC cells resistant to adriamycin compared to sensitive cells, and even though the mechanism was not known, there was a noticeable increase in sensitivity to adriamycin with downregulation of circ0006528 (<xref ref-type="bibr" rid="B26">Gao et al., 2017</xref>) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Exo-circRNAs in breast cancer promotes therapeutic resistance.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Therapeutic resistance</th>
<th align="left">Types of Circular RNA</th>
<th align="left">Regulation</th>
<th align="left">Effect</th>
<th align="left">Targeted pathway/Axis</th>
<th align="left">Ref.</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">5-Fluorouracil</td>
<td align="left">circFBXL5</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-216b/HMGA2</td>
<td align="left">
<xref ref-type="bibr" rid="B167">Zhu et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="left">Doxorubicin</td>
<td align="left">circKDM4C</td>
<td align="left">Downregulated</td>
<td align="left">Promote sensitivity</td>
<td align="left">miR-548p/PBLD</td>
<td align="left">
<xref ref-type="bibr" rid="B74">Liang et al. (2019b)</xref>
</td>
</tr>
<tr>
<td align="left">circUBE2D2</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-512-3p/CDCA3</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Dou et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">circ-LARP4</td>
<td align="left">Downregulated</td>
<td align="left">Promote sensitivity</td>
<td align="left">miR-424</td>
<td align="left">
<xref ref-type="bibr" rid="B155">Zhang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">hsa_circ_0092276</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-348/ATG7</td>
<td align="left">
<xref ref-type="bibr" rid="B118">Wang et al. (2021)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Tamoxifen</td>
<td align="left">circRNA_0025202</td>
<td align="left">Downregulated</td>
<td align="left">Promote sensitivity</td>
<td align="left">miR-182-5p/FOXO3</td>
<td align="left">
<xref ref-type="bibr" rid="B100">Sang et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">circ_UBE2D2</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-200a-3p</td>
<td align="left">
<xref ref-type="bibr" rid="B38">Hu K. et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">circBMPR2</td>
<td align="left">Downregulated</td>
<td align="left">Promote sensitivity</td>
<td align="left">miR-553/USP4</td>
<td align="left">
<xref ref-type="bibr" rid="B73">Liang et al. (2019a)</xref>
</td>
</tr>
<tr>
<td rowspan="4" align="left">Paclitaxel</td>
<td align="left">circ-RNF111</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-140-5p/E2F3</td>
<td align="left">
<xref ref-type="bibr" rid="B148">Zang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">circAMOTL1</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">AKT pathway</td>
<td align="left">
<xref ref-type="bibr" rid="B83">Ma et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">circGFRA1</td>
<td align="left">Upregulated</td>
<td align="left">Promoted resistance</td>
<td align="left">miR-361-5p/TLR4</td>
<td align="left">
<xref ref-type="bibr" rid="B162">Zheng et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">circ-ABCB10</td>
<td align="left">Upregulated</td>
<td align="left">Promoted resistance</td>
<td align="left">let-7a-5p/DUSP7</td>
<td align="left">
<xref ref-type="bibr" rid="B142">Yang et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left">Lapatinib</td>
<td align="left">circ-MMP11</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-153-3p/ANLN</td>
<td align="left">
<xref ref-type="bibr" rid="B126">Wu et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">Monastrol</td>
<td align="left">circRNA-MTO1</td>
<td align="left">Downregulated</td>
<td align="left">Promote sensitivity</td>
<td align="left">TRAF4/Eg5 axis</td>
<td align="left">
<xref ref-type="bibr" rid="B79">Liu et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="left">Adriamycin</td>
<td align="left">circ_0006528</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">N/A</td>
<td align="left">
<xref ref-type="bibr" rid="B25">Gao et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">circ_0001667</td>
<td align="left">Upregulated</td>
<td align="left">Promoted resistance</td>
<td align="left">miR-4458/NCOA3</td>
<td align="left">
<xref ref-type="bibr" rid="B15">Cui et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left">circ_0085495</td>
<td align="left">Upregulated</td>
<td align="left">Promote resistance</td>
<td align="left">miR-873-5p/integrin &#x3b2;1</td>
<td align="left">
<xref ref-type="bibr" rid="B129">Xie and Zheng (2022)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>It can be observed through these studies that circRNAs have essential roles in the efficacy of a wide variety of treatment options for BC through their contribution to resistance or sensitivity of therapies.</p>
</sec>
</sec>
<sec id="s5">
<title>5 Role of exosomal circRNAs in diagnosis and prognosis</title>
<p>Exosomes contain many biologically active agents with the potential to be used as biomarkers in BC (<xref ref-type="bibr" rid="B51">Jia et al., 2017</xref>), including circRNAs (<xref ref-type="bibr" rid="B46">Jahani et al., 2020</xref>). Two characteristics of circRNAs that make them a suitable candidate for biomarkers of BC are: they are remarkedly stable in comparison to linear RNAs, and they have ten times more expression than linear isomers (<xref ref-type="bibr" rid="B32">Guo et al., 2014</xref>). Furthermore, there is evidence suggesting that circRNAs have a crucial part in BC progression and can be used for BC screening as tumor markers due to being stable and tissue-specific (<xref ref-type="bibr" rid="B81">L&#xfc; et al., 2017</xref>).</p>
<p>Determining biomarkers has a crucial role in diagnosing, anticipating prognosis, and identifying the clinical importance of BC patients. Liang et al. detected 1.5-fold overexpression of linear CDYL and 3.2-fold elevation of circular CDYL expression in BC tissues compared to paired noncancerous tissues. However, expression of circCDYL was associated significantly with clinicopathological characteristics of BC patients, while linear CDYL was not. Therefore, Liang and his colleagues suggest that circCDYL has the capacity to help in diagnosis and prognosis in BC (<xref ref-type="bibr" rid="B71">Liang et al., 2020</xref>). Furthermore, Yin et al. performed ROC curve to analyze the diagnostic value of hsa_circ_0001785, and their results revealed that hsa_circ_0001785 had 0.784 AUC value, supporting its great potential to be a biomarker for BC early detection. Similarly, Yuan et al. suggested that hsa_circ_0068033 is a valuable biomarker for early detection of BC for the reason that ROC analysis showed that hsa_circ_0068033 has a high diagnostic value (AUC &#x3d; 0.8480) (<xref ref-type="bibr" rid="B147">Yuan et al., 2020</xref>).</p>
<p>Additionally, He et al. used. Kaplan-Meier survival analysis to examine prognostic determinant abilities of circGFRA1. According to results used to draw OS and DFS graphs, over-expressed circGFRA1 was linked to bad prognosis in TNBC patients (<xref ref-type="bibr" rid="B34">He et al., 2017</xref>). Furthermore, in two different studies, circEPSTI1 and circKIF4A were investigated in 240 triple-breast cancer patients; results showed overexpression of both circular RNAs. The high expression level of both was direct relation to size of the tumor, lymph node invasion, stage of TNM, as well as bad prognosis (<xref ref-type="bibr" rid="B8">Chen B. et al., 2018</xref>; <xref ref-type="bibr" rid="B109">Tang et al., 2019</xref>). Similarly, Qu et al. discovered that overexpressed circ_0103,552 in BC patients appeared to be correlation with bad pathological features and fewer survival chances. The independent prognostic factor of circ_0103,552 was also examined by multivariate analysis, and results showed circ_0103,552 to be an independent prognostic predictor for BC (<italic>p</italic> &#x3d; 0.042) (<xref ref-type="bibr" rid="B139">Yang et al., 2019b</xref>). Additionally, Chen et al. detected overexpression of cirCHIPK3 in tumor tissues, which assisted BC cells in developing and progressing through modulating HMGB1/PI3K/AKT, and its high level was associated closely with lower prognosis (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>).</p>
<p>On the contrary, Yin and his colleagues measured hsa_circ_0001785 plasma levels in BC patients before and after surgery, and it showed a significant decrease in hsa_circ_0001785 in postoperative patients (<xref ref-type="bibr" rid="B146">Yin et al., 2018</xref>). Likewise, Zhang et al. performed RT-qPCR on sample tissues of 283 female BC patients, and the level of circ-LARP4 appeared to be low. Downregulated circ-LARP4 at the tumor site of BC was related to increased tumor size, advanced clinical stage, and bad prognosis in BC (<xref ref-type="bibr" rid="B155">Zhang et al., 2020</xref>). Furthermore, Liang et al. detected downregulation of circKDM4C in BC cells through microarray results, and the low level was linked to bad prognosis, metastasis, and low survival chances (<xref ref-type="bibr" rid="B74">Liang et al., 2019b</xref>).</p>
<p>Being an effective indicator of both diagnosis and prognosis, circRNAs have the potential to be used to detect early tumor formation and to predict the survival chance of BC patients.</p>
</sec>
<sec id="s6">
<title>6 Exosomal circRNAs as potential therapeutic targets in breast cancer</title>
<p>Breast cancer is very heterogenous, and despite advancements in therapies, the prognosis of the disease is still not very promising. Thus, novel and specific mechanism-based drugs should be designed and synthesized for treating BC. Recent studies related to circRNA in cancer showed that circRNA could be used as a therapeutic strategy (<xref ref-type="bibr" rid="B45">Hussen et al., 2022</xref>; <xref ref-type="bibr" rid="B125">Wu et al., 2022</xref>).</p>
<p>Ye and his colleagues detected downregulation of CircFBXW7 in BC cell lines, and the expression level was associated with tumor size and metastasis of patients. When circFBXW7 was overexpressed in cell lines using a vector, it sponged miR-197-3p, increasing tumor suppressor gene FBXW7 expression, which encoded for FBXW7-185aa protein. Consecutively, the migration and proliferation capabilities of cells were diminished, suggesting circFBXW7 to be a good target for new therapies and a prognostic biomarker of BC (<xref ref-type="bibr" rid="B144">Ye et al., 2019</xref>). In another most recent study supporting the use of circRNA as a therapeutic target for TNBC, Li et al. detected upregulation of circ_0041732 in cancer cells, which contributed to tumor formation <italic>via</italic> sponging miR-149-5p. Fibroblast growth factor 5 (FGF5) is considered a target for miR-149-5p. Silencing of circ_0041732 lead to tumor formation inhibition by reducing FGF5 expression <italic>via</italic> miR-149-5p <italic>in vivo</italic> (<xref ref-type="bibr" rid="B62">Li et al., 2022a</xref>). Liang et al. spotted a low expression level of circBMPR2 in BC cells, that was negatively linked to cell proliferation, invasion, and migration in BC. According to the recent data, circBMPR2 to profusely sponge miR-553, and miR-553 promoted cancer cells to proliferate and migrate through tumor suppressor USP4. Thus, circBMPR2/miR-553/USP4 could be an excellent therapeutic candidate (<xref ref-type="bibr" rid="B73">Liang et al., 2019a</xref>).</p>
<p>Similarly, Liu et al. detected downregulation of circRNA_103,809 in BC tissues, which was linked to tumor size, stage of TNM, and HER-2 levels. While intended overexpression of circRNA_103809 was able to suppress EMT pathway substantially <italic>via</italic> sponging miR-532-3p (<xref ref-type="bibr" rid="B75">Liu et al., 2020b</xref>). On the contrary, Huang and his colleagues detected upregulation of circ_0103,552, which acted like an oncogene by overexpressing CYR61 through targeting miR-515-5p and consequently promoting division, migration, and invasion characteristics. circ_0103552/miR-515-5p/CYR61 axis has a good aptitude to be developed for the treatment of BC (<xref ref-type="bibr" rid="B41">Huang et al., 2021</xref>).</p>
<p>Another therapeutic approach that can be developed from circRNA is pathway interactions. Wang et al. detected considerable downregulation of circRNA_000911 in BC cells, and through a biotin-labelled circRNA_000911 probe, they found that circRNA_000911 sponges miR-449a, consecutively modulating signalling flow of NF-&#x3ba;B and Notch1 (<xref ref-type="bibr" rid="B115">Wang et al., 2018a</xref>). Further, Chen et al. detected upregulation of cirCHIPK3 in BC tissues, which increased the expression of HMGB1 when sponging miR-193a (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>). PI3K/AKT axis has an essential role in tumor progression (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>), and HMGB1 has been shown to encourage angiogenesis and migration of tumors through PI3K/AKT signalling. Likewise, Western blot analysis revealed that HMGB1-mediated phosphorylation of PI3k and AKT was diminished in cells with silenced cirCHIPK3. Thus, suggesting that cirCHIPK3 is a very valuable candidate for finding novel therapies for BC (<xref ref-type="bibr" rid="B13">Chen et al., 2020</xref>).</p>
<p>Over the last few decades, a great deal of attention has been given to the development and evaluation of nanoparticles based on their potential to be utilized as good agents for cancer diagnosis and therapy (<xref ref-type="bibr" rid="B3">Baetke et al., 2015</xref>), with BC included (<xref ref-type="bibr" rid="B91">Mu et al., 2017</xref>). For example, When Yi et al. injected a mouse tumor site with nanoparticles containing circ-1073 plasmid, they concluded that the circ-1073 could bind to HuR to increase its expression, which in turn suppressed malignancy of BC cells by elevating E-cadherin and cleaved-Caspase 3/9 levels (<xref ref-type="bibr" rid="B145">Yi et al., 2020</xref>).</p>
<p>In particular, using exo-circRNAs as a way to treat cancer has both challenges and potential opportunities, especially when it comes to regulating circRNA expression <italic>in vivo</italic>, off-target effects, circRNA delivery, and drug resistance. Many approaches and strategies have been proposed to overcome these challenges.</p>
<p>In term of circRNAs regulating circRNA expression <italic>in vivo</italic>, Researchers proposed to use transposon to deliver a circRNA expression cassette (<xref ref-type="bibr" rid="B88">Mecozzi et al., 2022</xref>). In addition, it is possible to produce circRNAs artificially and enhance their capabilities (<xref ref-type="bibr" rid="B99">Rossbach, 2019</xref>).</p>
<p>On the other hand, the off-target limitation affects the capacity of circRNAs in BC therapy. To overcome this challenge siRNA approach can be used to reduce the expression of none-desired circRNA which may decrease the off-target effects of circRNA. For example, Zhang and his colleagues used siRNA to reduce the expression of none-desired circRNA which consequently decreased the off-target effects of circRNA (<xref ref-type="bibr" rid="B152">Zhang et al., 2018a</xref>).</p>
<p>Besides that, delivery of circRNA using lipid nanoparticles and delivery of circRNA <italic>via</italic> exosomes can be used to overcome delivery challenges. For example, according to genome-wide RNA-seq research, Li et al. found that exosomes are a rich source of circRNAs, and they were proven to be abundant in exosomes as compared to parental cells (<xref ref-type="bibr" rid="B61">Lener et al., 2015</xref>). Similarly, in a mouse model, Li and his team showed that circRNA can be successfully encapsulated and distributed into aggressive tumors by using lipid nanoparticles (<xref ref-type="bibr" rid="B63">Li et al., 2022b</xref>).</p>
<p>Additionally, the development of resistance to anti-cancer drugs is another issue that complicates BC therapy. Researchers found that tumor cells might use exosomes to handle their drug resistance <italic>via</italic> ciRS-122 to susceptible cells (<xref ref-type="bibr" rid="B135">Xu et al., 2020b</xref>).</p>
</sec>
<sec id="s7">
<title>7 Conclusion and future direction</title>
<p>Exosomes are nanometric particles that mediate the transfer of local or systemic cell-to-cell oncogenic signals and play a crucial role in driving cancer progression by providing a suitable environment for cancer cell proliferation and invasion. Exo-circular RNAs can act as oncogenes or tumor suppressors in cancer. They are involved in hallmarks of BC such as, proliferation, angiogenesis, migration, invasion, metastasis, and apoptosis through modulating different pathways. Breast cancer therapy can also be affected by exo-circRNAs, as they can contribute to the promotion of sensitivity and resistance to therapeutic drugs. Therefore, exo-circRNAs have the potential to be used as biomarkers or prognostic markers. In the future direction, practical treatment approaches can be developed from circRNA as they contribute to the formation and progression of BC through many different mechanisms and pathways. Especially due to its potential clinical value, studying circRNAs as cancer therapies is an exciting but difficult and challenging field of study. Advances in the research have shown their therapeutic value, and their prospective significance in individualized diagnostics and therapy. Nevertheless, their potential value as clinical studies for BC have not been evaluated in large clinical cohorts like that of other ncRNAs. The lack of methodological standards and the troubling methodological heterogeneity are two issues that, in our opinion, ought to be addressed in future studies. Large and more characterized cohorts, adequate validated procedures, proper control groups, and understanding BC tissue heterogeneity are required for applying into clinical translation. Accordingly, more research is needed to fully realize the value of exo-circRNAs and integrate them into the design and synthesis of novel therapies for BC.</p>
</sec>
</body>
<back>
<sec id="s8">
<title>Author contributions</title>
<p>MT and BH designed and supervised the study. SG-F, EJ, HH and SM wrote the draft and revised it. SA, MS, MK, and GH collected the data and designed the figures and tables. All the authors read the submitted version and approved it.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<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="disclaimer" id="s10">
<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>
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<sec id="s11">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fgene.2023.1126944">
<bold>ANLN</bold>
</term>
<def>
<p>Anillin, Actin Binding Protein</p>
</def>
</def-item>
<def-item>
<term id="G2-fgene.2023.1126944">
<bold>ASS1</bold>
</term>
<def>
<p>Argininosuccinate Synthase 1</p>
</def>
</def-item>
<def-item>
<term id="G3-fgene.2023.1126944">
<bold>ATG7</bold>
</term>
<def>
<p>Autophagy Related 7</p>
</def>
</def-item>
<def-item>
<term id="G4-fgene.2023.1126944">
<bold>CDCA3</bold>
</term>
<def>
<p>cell division cycle associated 3</p>
</def>
</def-item>
<def-item>
<term id="G5-fgene.2023.1126944">
<bold>CDK</bold>
</term>
<def>
<p>Cyclin-Dependent Kinase</p>
</def>
</def-item>
<def-item>
<term id="G6-fgene.2023.1126944">
<bold>CircRNA</bold>
</term>
<def>
<p>circular RNA</p>
</def>
</def-item>
<def-item>
<term id="G7-fgene.2023.1126944">
<bold>CYR61</bold>
</term>
<def>
<p>Cysteine-rich angiogenic inducer 61</p>
</def>
</def-item>
<def-item>
<term id="G8-fgene.2023.1126944">
<bold>E2F3</bold>
</term>
<def>
<p>E2F Transcription Factor 3</p>
</def>
</def-item>
<def-item>
<term id="G9-fgene.2023.1126944">
<bold>Exo-circRNA</bold>
</term>
<def>
<p>exosomal circularRNA</p>
</def>
</def-item>
<def-item>
<term id="G10-fgene.2023.1126944">
<bold>FFPE</bold>
</term>
<def>
<p>formalin-fixed, paraffin embedded</p>
</def>
</def-item>
<def-item>
<term id="G11-fgene.2023.1126944">
<bold>FGF2</bold>
</term>
<def>
<p>Fibroblast Growth Factor 2</p>
</def>
</def-item>
<def-item>
<term id="G12-fgene.2023.1126944">
<bold>FOXO3</bold>
</term>
<def>
<p>Forkhead Box O3</p>
</def>
</def-item>
<def-item>
<term id="G13-fgene.2023.1126944">
<bold>HIF-1&#x3b1;</bold>
</term>
<def>
<p>hypoxia-inducible factor-1&#x3b1;</p>
</def>
</def-item>
<def-item>
<term id="G14-fgene.2023.1126944">
<bold>HIPK3</bold>
</term>
<def>
<p>Homeodomain Interacting Protein Kinase 3</p>
</def>
</def-item>
<def-item>
<term id="G15-fgene.2023.1126944">
<bold>HMGA2</bold>
</term>
<def>
<p>high-mobility group AT-hook 2</p>
</def>
</def-item>
<def-item>
<term id="G16-fgene.2023.1126944">
<bold>HRD1</bold>
</term>
<def>
<p>E3 ubiquitin-protein ligase HRD1</p>
</def>
</def-item>
<def-item>
<term id="G17-fgene.2023.1126944">
<bold>IGF1</bold>
</term>
<def>
<p>Insulin Like Growth Factor 1</p>
</def>
</def-item>
<def-item>
<term id="G18-fgene.2023.1126944">
<bold>MMP9</bold>
</term>
<def>
<p>matrix metallopeptidase 9</p>
</def>
</def-item>
<def-item>
<term id="G19-fgene.2023.1126944">
<bold>MVEs</bold>
</term>
<def>
<p>multivesicular endosomes</p>
</def>
</def-item>
<def-item>
<term id="G20-fgene.2023.1126944">
<bold>MTA1</bold>
</term>
<def>
<p>Metastasis Associated 1</p>
</def>
</def-item>
<def-item>
<term id="G21-fgene.2023.1126944">
<bold>NCOA3</bold>
</term>
<def>
<p>Nuclear Receptor Coactivator 3</p>
</def>
</def-item>
<def-item>
<term id="G22-fgene.2023.1126944">
<bold>NF-&#x3ba;B</bold>
</term>
<def>
<p>Nuclear factor-&#x3ba;B</p>
</def>
</def-item>
<def-item>
<term id="G23-fgene.2023.1126944">
<bold>Notch1</bold>
</term>
<def>
<p>Neurogenic locus notch homolog protein 1</p>
</def>
</def-item>
<def-item>
<term id="G24-fgene.2023.1126944">
<bold>p53</bold>
</term>
<def>
<p>Tumor Protein P53</p>
</def>
</def-item>
<def-item>
<term id="G25-fgene.2023.1126944">
<bold>PAK1</bold>
</term>
<def>
<p>p21 protein-activated kinase 1</p>
</def>
</def-item>
<def-item>
<term id="G26-fgene.2023.1126944">
<bold>PTEN</bold>
</term>
<def>
<p>Phosphatase and Tensin Homolog</p>
</def>
</def-item>
<def-item>
<term id="G27-fgene.2023.1126944">
<bold>RASA1</bold>
</term>
<def>
<p>Ras p21 protein activator 1</p>
</def>
</def-item>
<def-item>
<term id="G28-fgene.2023.1126944">
<bold>RFC3</bold>
</term>
<def>
<p>Replication factor C subunit 3</p>
</def>
</def-item>
<def-item>
<term id="G29-fgene.2023.1126944">
<bold>SOCS3</bold>
</term>
<def>
<p>Suppressor of Cytokine Signalling 3</p>
</def>
</def-item>
<def-item>
<term id="G30-fgene.2023.1126944">
<bold>SRSF6</bold>
</term>
<def>
<p>Serine and Arginine Rich Splicing Factor 6</p>
</def>
</def-item>
<def-item>
<term id="G31-fgene.2023.1126944">
<bold>TLR4</bold>
</term>
<def>
<p>Toll Like Receptor 4</p>
</def>
</def-item>
<def-item>
<term id="G32-fgene.2023.1126944">
<bold>TNBC</bold>
</term>
<def>
<p>Triple negative breast cancer</p>
</def>
</def-item>
<def-item>
<term id="G33-fgene.2023.1126944">
<bold>TNM</bold>
</term>
<def>
<p>Tumor (T), nodes (N), and metastases (M)</p>
</def>
</def-item>
<def-item>
<term id="G34-fgene.2023.1126944">
<bold>TRAF4</bold>
</term>
<def>
<p>TNF Receptor Associated Factor 4</p>
</def>
</def-item>
</def-list>
</sec>
</back>
</article>