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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1737170</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2026.1737170</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Opinion</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The ratio of effect-based combination indexes can indicate nonapoptotic cell-death in a combined cancer therapy</article-title>
<alt-title alt-title-type="left-running-head">Yu et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2026.1737170">10.3389/fphar.2026.1737170</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Tianran</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal Analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Yuxuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal Analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xinya</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2301918"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal Analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing - original draft</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Tinghe</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1695705"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x26; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/">Writing - review and editing</role>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>College of Pharmaceutical Sciences, Southwest University</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>International Medical College, Chongqing Medical University</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Laboratory of Obstetrics and Gynecology, The Second Affiliated Hospital, Chongqing Medical University</institution>, <city>Chongqing</city>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Tinghe Yu, <email xlink:href="mailto:yutinghe@hotmail.com">yutinghe@hotmail.com</email>, <email xlink:href="mailto:yutinghe@cqmu.edu.cn">yutinghe@cqmu.edu.cn</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-22">
<day>22</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1737170</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>27</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Yu, Dong, Li and Yu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yu, Dong, Li and Yu</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-22">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<kwd-group>
<kwd>apoptosis</kwd>
<kwd>apoptosis kinetics</kwd>
<kwd>combination index</kwd>
<kwd>combined therapy</kwd>
<kwd>nonapoptosis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="0"/>
<equation-count count="5"/>
<ref-count count="23"/>
<page-count count="4"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Experimental Pharmacology and Drug Discovery</meta-value>
</custom-meta>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Determining cell-death modes is critical in developing a combined cancer therapy: the combination may deactivate cells via a mode differed from that in the single regimen, or via more than one mode. Most single therapies deactivate cancer cells via the apoptosis pathway, and the apoptotic malfunction results in therapeutic resistance (<xref ref-type="bibr" rid="B9">Liu et al., 2025</xref>; <xref ref-type="bibr" rid="B21">Yue et al., 2025</xref>). Therefore, that a combined therapy can induce nonapoptotic death is a specific merit, for having a potential to combat resistance (<xref ref-type="bibr" rid="B18">Yu et al., 2016</xref>; <xref ref-type="bibr" rid="B8">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B17">Yu and Li, 2023</xref>; <xref ref-type="bibr" rid="B14">Swords et al., 2024</xref>; <xref ref-type="bibr" rid="B11">Moyer et al., 2025</xref>). Whether there is nonapoptotic death should be decided at an early state of a therapeutic trial.</p>
<p>Of those cell-death modes, apoptotic cells (i.e., the apoptosis percentage) can be directly and accurately quantified using easy methods (e.g., annexin V, terminal nick end labeling or sub-G1 assay). Indeed, the apoptosis percentage is calibrated in most therapeutic trials. However, the death percentages due to other modes (e.g., necrosis, necroptosis, ferroptosis or autophagy) can only be detected qualitatively or semi-quantitatively: nonapoptotic death is demonstrated by determining the bio-chemical biomarkers related to a specific death mode or observing a reduction in the death percentage after inhibiting a specific death mode (<xref ref-type="bibr" rid="B4">Hu et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Kari et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Liu et al., 2022</xref>; <xref ref-type="bibr" rid="B6">Khalef et al., 2024</xref>).</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Determining nonapoptotic death based on the ratio of combination indexes</title>
<p>The effect-based combination index (CI) is used to assess a combined therapy (<xref ref-type="disp-formula" rid="e1">Equation 1</xref>).<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
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<label>(1)</label>
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<p>E<sub>A</sub> or E<sub>B</sub> is the effect of a single therapy, and E<sub>A&#x2b;B</sub> is the effect of the combination. The dose of A in E<sub>A&#x2b;B</sub> is equal to that in E<sub>A</sub>, so is the dose of B in E<sub>A&#x2b;B</sub> and E<sub>B</sub>. A CI of &#x3c;0.85, 0.85&#x2013;1.15, or &#x3e;1.15 indicates antagonism, addition, or synergy, respectively (<xref ref-type="bibr" rid="B20">Yu et al., 2025</xref>). CI can be calculated using the percentages of dead cells (i.e., CI<sub>Dea</sub>) or other effects (<xref ref-type="bibr" rid="B3">He et al., 2014</xref>). CI<sub>Dea</sub> reflects the ultimate effect, because induction of death of cancer cells is the primary efficacy endpoint. A combined therapy can be further developed only when CI<sub>Dea</sub> shows addition or synergy (<xref ref-type="bibr" rid="B2">He et al., 2012</xref>).</p>
<p>Each death mode contributes to a fraction of cell death when death results from multiple modes, and the sum is the percentage of dead cells (<xref ref-type="disp-formula" rid="e2">Equation 2</xref>). Thus, each death mode can be considered as a specific effect, i.e., having a corresponding CI (e.g., CI<sub>Apo</sub> is based on the percentages of apoptotic cells). CI<sub>Dea</sub> is the gross effect (<xref ref-type="disp-formula" rid="e3">Equation 3</xref>).<disp-formula id="e2">
<mml:math id="m2">
<mml:mrow>
<mml:mo>%</mml:mo>
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<mml:mo>&#x3d;</mml:mo>
<mml:mo>%</mml:mo>
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<mml:mi>p</mml:mi>
<mml:mi>o</mml:mi>
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<mml:mi>i</mml:mi>
<mml:mi>s</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mo>%</mml:mo>
<mml:mi>f</mml:mi>
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<mml:mo>%</mml:mo>
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<mml:mo>.</mml:mo>
<mml:mo>.</mml:mo>
<mml:mo>.</mml:mo>
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<label>(2)</label>
</disp-formula>
<disp-formula id="e3">
<mml:math id="m3">
<mml:mrow>
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<label>(3)</label>
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<p>CI<sub>i</sub> is for a specific death mode, and W<sub>i</sub> is the weight of that mode in overall cell death. However, the percentage of nonapoptotic death cells cannot be quantified directly and accurately, i.e., CI<sub>i</sub> except CI<sub>Apo</sub> cannot be directly calculated. Theoretically, other CI<sub>i</sub> can be deduced by CI<sub>Dea</sub> minus CI<sub>Apo</sub>. These suggest that the ratio of CI<sub>Apo</sub> to CI<sub>Dea</sub> can provide info of the cell-death modes.</p>
<p>Here discussions are based on these premises: the identical therapeutic manner (doses and exposure duration of drugs) is employed in both cell-death and apoptosis trials, cell death and apoptosis are calibrated at the same time point, and CI<sub>Dea</sub> indicates addition or synergy.<list list-type="order">
<list-item>
<p>When apoptosis is the sole/determining death mode in the combined therapy, the number of dead cells is the sum of apoptotic cells. Accordingly, CI<sub>Apo</sub> is nearly equal to CI<sub>Dea</sub>, i.e., CI<sub>Apo</sub> &#x3e;F<sub>0</sub>&#xd7;CI<sub>Dea</sub>. F<sub>0</sub> can be empirically set 0.8.</p>
</list-item>
<list-item>
<p>When there is a nonapoptotic death mode in the combination, the percentage of dead cells is partly due to that of apoptotic cells. Therefore, CI<sub>Apo</sub> contributes to only a fraction of CI<sub>Dea</sub>, i.e., CI<sub>Apo</sub> &#x3c;F<sub>0</sub>&#xd7;CI<sub>Dea</sub>.</p>
</list-item>
<list-item>
<p>In rare cases, the combination deactivates cells via a nonapoptotic mode although apoptosis is the mechanism for the single therapy (<xref ref-type="bibr" rid="B10">Ma et al., 2016</xref>; <xref ref-type="bibr" rid="B7">Liu et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Silva et al., 2017</xref>). Consequently, the apoptosis percentage in the combination is not increased in comparison with the single therapy, i.e., CI<sub>Apo</sub> &#x3c;F<sub>1</sub>&#xd7;CI<sub>Dea</sub>. F<sub>1</sub> can be set 0.4&#x2013;0.5 (depending on cell type) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
</list-item>
</list>
</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The ratio of CI<sub>Apo</sub> to CI<sub>Dea</sub> can indicate the occurrence of nonapoptotic death in a combined therapy. F<sub>0</sub> and F<sub>1</sub> are cell-type dependent; the empirical values are 0.8 and 0.4&#x2013;0.5, respectively. CI<sub>Dea</sub>, combination index based on death percentages; CI<sub>Apo</sub>, combination index based on apoptosis percentages.</p>
</caption>
<graphic xlink:href="fphar-17-1737170-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrates a flowchart for determining apoptosis and nonapoptosis using cell percentages. It shows calculations for Combination Index CI, involving percentages of dead and apoptotic cells. Paths are based on the ratio \(\text{CI}_{\text{Apo}}/\text{CI}_{\text{Dea}}\) compared to thresholds \(F_0\) and \(F_1\). Outcomes are apoptosis or nonapoptosis involvement.</alt-text>
</graphic>
</fig>
<p>These deductions were tested in 2 datasets. The agreement was 77.6% (111/143) when using the death mode stated in the trial as the reference (&#x3ba; &#x3d; 0.40 [95% confidence interval: 0.23&#x2013;0.57], p &#x3c; 0.0001) (noticeably, data can be extracted from 39/198 papers released in 2016&#x2013;2017, but from 37/308 papers released in 2022&#x2013;2024). The accuracy for apoptosis was 81.4% (92/113), and that for nonapoptosis was 63.3% (19/30), respectively (<xref ref-type="sec" rid="s10">Supplementary Tables S1, S2</xref>). These findings suggest that the CI<sub>Apo</sub>/CI<sub>Dea</sub> ratio can be used to preliminarily determine the death mode in a combined therapy.</p>
<p>Based on the present data, an inquiry about the role of autophagy arises. Autophagy was considered a death mechanism in certain trials, but CI<sub>Apo</sub>&#x3e;CI<sub>Dea</sub> indicated that apoptosis was the determining death mode (<xref ref-type="bibr" rid="B15">Wang et al., 2016</xref>; <xref ref-type="bibr" rid="B22">Zhang et al., 2017</xref>). A reasonable interpretation is that the increase in autophagy is an accompanying response, or that autophagy is the switch to apoptosis. There arise similar concerns when necrosis is deemed as a death mechanism based on only propidium iodide-positive cells in flow cytometry but CI<sub>Apo</sub> is not inferior to CI<sub>Dea</sub> (<xref ref-type="bibr" rid="B12">Shirvalilou et al., 2024</xref>).</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Improving the accuracy</title>
<p>CI<sub>Dea</sub> has high accuracy, since available assays for cell viability are with high selectivity, specificity and stability. Therefore, the accuracy of the present method relies on accurate CI<sub>Apo</sub> which is determined by accurate apoptosis percentages. The apoptosis percentage in control cells (receiving no therapy) was &#x3e;10% (even &#x3e;20%) in certain trials, demonstrating a high background level (<xref ref-type="bibr" rid="B16">Yadav et al., 2022</xref>; <xref ref-type="bibr" rid="B23">Zheng et al., 2023</xref>; <xref ref-type="bibr" rid="B1">Camero et al., 2024</xref>). Such a high background level suggests biases in apoptosis percentages in cells receiving therapies, which will distort CI<sub>Apo</sub>. An apoptosis percentage of &#x3c;5% in control cells indicates that data are with high quality for evaluations.</p>
<p>One dose for each single therapy is commonly used in an apoptosis trial. In certain cases, the dose may not be the optimum one to determine apoptosis in the combination, thereby underestimating CI<sub>Apo</sub> and eventually leading to misjudgments. A preferred method is to adopt 2&#x2013;3 doses in each single therapy to catch the apoptosis property better, particularly when the CI<sub>Apo</sub>/CI<sub>Dea</sub> ratio is 0.7&#x2013;0.8. Doses for the apoptosis trial can be set according to the death percentage vs. dose curve, and should be up to the half-maximum effective dose. A higher dose may lead to saturation, thereby covering up apoptosis synergy (<xref ref-type="bibr" rid="B20">Yu et al., 2025</xref>).</p>
<p>Apoptosis does not necessarily synchronize with cell death. In certain cases, the apoptosis pattern of a regimen in the combination differs from that of being administrated alone, i.e., alterations of apoptosis percentages in two single and the combined therapies are nonsynchronous. The apoptosis percentage in the combined therapy can be lower than the actual level, thereby distorting CI<sub>Apo</sub> and eventually resulting in misjudgments. The apoptosis kinetics may be a solution. Apoptosis percentages in a definite duration (t<sub>1</sub>&#x2013;t<sub>last</sub>) are quantified at multiple time points. RAUC (relative area under the apoptosis percentage vs. time curve) is used to calculate CI<sub>Apo</sub>, where integration utilizes the trapezoidal method (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="disp-formula" rid="e4">Equations 4</xref>, <xref ref-type="disp-formula" rid="e5">5</xref>) (<xref ref-type="bibr" rid="B19">Yu et al., 2024</xref>).<disp-formula id="e4">
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<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>AUC is integrated using the trapezoidal method, and then RAUC is calculated. The coefficient k outlines the panorama of apoptosis, and the default value can be 1.0. AUC, area under the apoptosis percentage vs. time curve; RAUC, relative AUC.</p>
</caption>
<graphic xlink:href="fphar-17-1737170-g002.tif">
<alt-text content-type="machine-generated">Graph depicting the relationship between apoptosis percentage and time. The graph includes a piecewise linear function with points labeled \(A_i\), \(A_{i+1}\), \(A_{i+2}\), and \(A_{i+3}\) over time intervals \(t_i\), \(t_{i+1}\), \(t_{i+2}\), and \(t_{i+3}\). An equation for RAUC (Relative Area Under the Curve) is shown above: \[RAUC = \frac{\int_{t_1}^{t_{\text{last}}}Adt}{k(t_{\text{last}}-t_1)} = \frac{\sum_{i=1}^{n}\frac{(A_i + A_{i+1})(t_{i+1} - t_i)}{2}}{k(t_{\text{last}} - t_1)}.\]</alt-text>
</graphic>
</fig>
<p>t<sub>last</sub> should be identical to the time point of determining the cell-death percentage. A<sub>i</sub> is the apoptosis percentage at the i-th time point. The coefficient k (depending on cell type) outlines the apoptosis panorama, and should be biologically and mathematically logical (i.e., RAUC complies with the rule of calculating CI). Thus, k should be 0.8&#x2013;1.0, and the default value can be 1.0 (i.e., with an apoptosis percentage of 100%). CI<sub>Apo</sub> based on RAUC is the preferred method when apoptosis percentages indicate that nonapoptotic death is the sole mechanism for the combination, but either single therapy deactivates cells via apoptosis. This manner can avoid false negative.</p>
</sec>
<sec sec-type="conclusion" id="s4">
<label>4</label>
<title>Conclusion</title>
<p>The CI<sub>Apo</sub>/CI<sub>Dea</sub> ratio provides a preliminary indicator of cell-death modes. A higher ratio confirms apoptosis and a lower ratio suggests the involvement of nonapoptotic death, which can be used to assess the potential of a combined therapy. Individually optimizing F<sub>0</sub> or F<sub>1</sub> may be needed in specific cases. The accuracy of this method is reliant on accurate CI<sub>Apo</sub> that is determined by accurate apoptosis percentages. Using RAUC to calculate CI<sub>Apo</sub> can improve the accuracy when apoptosis does not synchronize with cell death.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s5">
<title>Author contributions</title>
<p>TY: Formal Analysis, Writing &#x2013; original draft. YD: Formal Analysis, Writing &#x2013; original draft. XL: Formal Analysis, Validation, Writing &#x2013; original draft. TY: Conceptualization, Formal Analysis, Validation, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="COI-statement" id="s7">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author TY declared that they were an editorial board member of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="s8">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2026.1737170/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2026.1737170/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/312040/overview">Raghuram Kandimalla</ext-link>, James Graham Brown Cancer Center, United States</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3292723/overview">Purushoptham Pothula</ext-link>, University of Louisville, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3321066/overview">Mahendar Kadari</ext-link>, University of Louisville, United States</p>
</fn>
</fn-group>
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