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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Explor Target Antitumor Ther</journal-id>
<journal-id journal-id-type="publisher-id">ETAT</journal-id>
<journal-title-group>
<journal-title>Exploration of Targeted Anti-tumor Therapy</journal-title>
</journal-title-group>
<issn pub-type="epub">2692-3114</issn>
<publisher>
<publisher-name>Open Exploration Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.37349/etat.2026.1002377</article-id>
<article-id pub-id-type="manuscript">1002377</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>More than alternative estrogen receptors: the emerging role of GPER-1 and ERα36 in breast cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7599-6525</contrib-id>
<name>
<surname>Molina Calistro</surname>
<given-names>Luis</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor2">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Torres</surname>
<given-names>Rodrigo Flavio</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Spies</surname>
<given-names>Johana</given-names>
</name>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Meneses</surname>
<given-names>Sonia Sánchez</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Soto</surname>
<given-names>María</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Carrasco</surname>
<given-names>Joaquín</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gálvez</surname>
<given-names>Javiera</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Muñoz</surname>
<given-names>Dayanara</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Soto</surname>
<given-names>Javiera</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7453-7300</contrib-id>
<name>
<surname>Arancibia</surname>
<given-names>Yennyfer</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="I5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="editor">
<name>
<surname>Normanno</surname>
<given-names>Nicola</given-names>
</name>
<role>Academic Editor</role>
<aff>IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Italy</aff>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>Facultad de Ciencias, Universidad San Sebastián, Lago Panguipulli 1390, Puerto Montt 5501842, Chile</aff>
<aff id="I2">
<sup>2</sup>Posgrado en Ciencias Biológicas UATx, Centro Tlaxcala Biología de la Conducta, Doctorado en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, Tlaxcala, Tlax 90800, México</aff>
<aff id="I3">
<sup>3</sup>Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Puerto Montt 5501842, Chile</aff>
<aff id="I4">
<sup>4</sup>Millennium Nucleus of Neuroepigenetics and Plasticity (EpiNeuro), Santiago 8320000, Chile</aff>
<aff id="I5">
<sup>5</sup>High Altitude Medicine Research Center (CEIMA), Arturo Prat University, Iquique 1110939, Chile</aff>
<author-notes>
<corresp id="cor1">
<bold>
<sup>*</sup>Correspondence:</bold> Yennyfer Arancibia, High Altitude Medicine Research Center (CEIMA), Arturo Prat University, Iquique 1110939, Chile. <email>yennyfer.arancibia@gmail.com</email></corresp>
<corresp id="cor2">Luis Molina Calistro, Facultad de Ciencias, Universidad San Sebastián, Lago Panguipulli 1390, Puerto Montt 5501842, Chile. <email>luis.molina@uss.cl</email></corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2026</year>
</pub-date>
<pub-date pub-type="epub">
<day>06</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>7</volume>
<elocation-id>1002377</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>05</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2026.</copyright-statement>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<p id="absp-1">Breast cancer classification and therapeutic decision-making have traditionally relied on the evaluation of estrogen receptor alpha (ERα), PR, and HER2, yet this framework does not fully explain tumor heterogeneity, endocrine resistance, or estrogen responsiveness in ERα-negative contexts. Emerging evidence implicates non-genomic estrogen signaling mediated by membrane-associated receptors such as G protein-coupled estrogen receptor 1 (GPER-1) and ERα36. Acting as interconnected signaling nodes, these receptors activate MAPK/ERK and PI3K/AKT pathways and engage in crosstalk with receptors such as EGFR, promoting proliferation, cellular plasticity, and adaptive responses. Here, we propose an integrative framework based on three axes: endocrine resistance in ERα-positive tumors, estrogen responsiveness in ERα-negative subtypes, and environmental modulation of signaling. Within this model, GPER-1 and ERα36 form a coordinated network that extends beyond genomic mechanisms and converges on shared downstream effectors. These pathways also intersect with post-transcriptional regulation, tumor-microenvironment interactions, and extracellular vesicle-mediated communication, contributing to tumor progression and metastasis. Environmental ligands, such as bisphenol A, may further modulate signaling intensity, reinforcing plasticity and resistance phenotypes. Collectively, GPER-1 and ERα36 emerge as candidate biomarkers with diagnostic and therapeutic relevance. Their integration into multi-omics and functional classification strategies may refine breast cancer stratification and support more precise therapeutic approaches.</p>
</abstract>
<kwd-group>
<kwd>GPER-1</kwd>
<kwd>ERα36</kwd>
<kwd>non-genomic estrogen signaling</kwd>
<kwd>endocrine resistance</kwd>
<kwd>breast cancer subtypes</kwd>
<kwd>breast cancer heterogeneity</kwd>
<kwd>biomarkers</kwd>
<kwd>BPA</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p id="p-1">Breast cancer is currently the most common cancer among women worldwide and remains the leading cause of cancer-related death in women [<xref ref-type="bibr" rid="B1">1</xref>]. The increasing incidence of this disease, together with the emergence of primary and acquired resistance to endocrine therapies such as tamoxifen (TMX) and other selective estrogen receptor modulators (SERMs), highlights important limitations in current classification systems based solely on canonical estrogen receptor alpha (ERα) signaling [<xref ref-type="bibr" rid="B1">1</xref>]. Mechanistic insights from experimental and clinical studies indicate that resistance to TMX involves complex signaling networks beyond classical ERα activity [<xref ref-type="bibr" rid="B2">2</xref>]. Moreover, it is estimated that between 80% and 90% of breast cancer cases are sporadic, supporting a multifactorial etiology rather than a hereditary origin [<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>].</p>
<p id="p-2">Despite major advances in biomarker-driven oncology, breast cancer classification remains limited by its reliance on receptor expression, which does not fully capture functional signaling activity or tumor adaptability [<xref ref-type="bibr" rid="B5">5</xref>].</p>
<p id="p-3">From a translational perspective, these limitations highlight a significant gap in biomarker-based oncology, where clinical validation and the implementation of therapeutic targets often lag behind mechanistic advances [<xref ref-type="bibr" rid="B6">6</xref>]. In this context, the systematic integration of emerging signaling pathways into diagnostic and therapeutic decision-making is becoming increasingly important, recognizing molecular heterogeneity as a central axis for improving clinical outcomes [<xref ref-type="bibr" rid="B7">7</xref>].</p>
<p id="p-4">Accumulating evidence indicates that estrogen signaling extends beyond the classical nuclear receptor ERα, with membrane-initiated pathways contributing significantly to tumor behavior and therapeutic response [<xref ref-type="bibr" rid="B8">8</xref>–<xref ref-type="bibr" rid="B10">10</xref>]. A central unresolved issue in breast cancer is the persistence of estrogen-responsive signaling in ERα-negative tumors, as well as the emergence of endocrine resistance in ERα-positive disease [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. Collectively, these findings underscore a disconnect between clinically defined receptor status and functional estrogen-dependent signaling activity.</p>
<p id="p-5">This scenario has intensified interest in environmental factors as modulators of breast cancer risk and progression. In particular, chronic exposure to endocrine disruptors such as bisphenol A (BPA) has emerged as a relevant factor due to its ability to interfere with hormonal signaling and reprogram cellular responses associated with carcinogenesis [<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>]. Importantly, experimental evidence demonstrates that loss of BRCA1 function increases cellular sensitivity to BPA, suggesting a gene-environment interaction in breast cancer susceptibility [<xref ref-type="bibr" rid="B14">14</xref>].</p>
<p id="p-6">Furthermore, BPA and its analogues have been shown to alter mammary epithelial morphogenesis, reinforcing their potential role in early tumorigenic processes [<xref ref-type="bibr" rid="B15">15</xref>]. The widespread presence of BPA and its structural analogues, along with their estrogenic activity at low doses, strengthens their potential impact on breast tumor biology [<xref ref-type="bibr" rid="B16">16</xref>].</p>
<p id="p-7">Rather than acting as independent etiological agents, environmental estrogens such as BPA are increasingly understood as modulators of estrogen signaling networks, particularly those mediated by membrane-associated receptors, thereby influencing signaling amplitude and cellular responsiveness [<xref ref-type="bibr" rid="B17">17</xref>]. Therefore, environmental exposures should be considered within the framework of the complexity of estrogen signaling, rather than as an isolated carcinogenic factor.</p>
<p id="p-8">Clinically, approximately 70% of breast cancers are classified as hormone-sensitive based on the expression of ERα and/or PR [<xref ref-type="bibr" rid="B18">18</xref>]. In contrast, the absence of these receptors, along with the lack of HER2, defines triple-negative breast cancer (TNBC), one of the most aggressive subtypes with limited therapeutic options [<xref ref-type="bibr" rid="B19">19</xref>]. However, this classification does not fully explain tumor heterogeneity, the variability in therapeutic response, or the paradoxical response to estrogens observed in a subset of ERα-negative tumors [<xref ref-type="bibr" rid="B19">19</xref>]. This limitation suggests that other pathways may contribute to the estrogen response beyond ERα detection.</p>
<p id="p-9">In this context, recent reviews have highlighted the relevance of G protein-coupled estrogen receptor 1 (GPER-1) in ERα-negative breast cancer, supporting its role as an alternative mediator of estrogen signaling in these tumors [<xref ref-type="bibr" rid="B20">20</xref>]. Complementarily, the ERα36 isoform has emerged as a critical determinant of non-genomic estrogen signaling and endocrine resistance [<xref ref-type="bibr" rid="B21">21</xref>].</p>
<p id="p-10">Both GPER-1 and ERα36 have been consistently associated with rapid signaling activation and resistance-related phenotypes in experimental models. These receptors can be activated not only by endogenous estrogens but also by xenoestrogens and endocrine disruptors, including bisphenols such as BPA [<xref ref-type="bibr" rid="B22">22</xref>–<xref ref-type="bibr" rid="B24">24</xref>]. Furthermore, ERα36 has been experimentally linked to TMX resistance and enhanced metastatic behavior in breast cancer cell models, supporting its functional relevance in disease progression [<xref ref-type="bibr" rid="B25">25</xref>].</p>
<p id="p-11">Importantly, most of the mechanistic evidence supporting these roles derives from experimental models, particularly breast cancer cell lines and in vivo systems, and therefore should be interpreted within this context when extrapolating to clinical scenarios. Notably, both GPER-1 and ERα36 converge on key signaling pathways involved in proliferation, survival, migration, invasion, and endocrine resistance [<xref ref-type="bibr" rid="B26">26</xref>]. These pathways include major proliferative and survival cascades such as MAPK/ERK and PI3K/AKT, which are recurrently activated downstream of non-canonical estrogen receptors [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>].</p>
<p id="p-12">Furthermore, although these pathways are initiated at the membrane level, they converge on transcriptional regulators, reinforcing the concept of a functional continuum between rapid signaling and gene expression control. Importantly, although these pathways are frequently described independently, they largely converge on shared intracellular signaling nodes, suggesting that receptor-specific activation may lead to overlapping phenotypic outcomes [<xref ref-type="bibr" rid="B20">20</xref>].</p>
<p id="p-13">Additionally, variations in estrogen receptor expression patterns in tumor tissues have been associated with clinical parameters such as hormone levels and prognostic indices, underscoring the importance of receptor heterogeneity in disease outcome [<xref ref-type="bibr" rid="B29">29</xref>]. The heterogeneity of receptors should not be understood solely in terms of the presence or absence of ERα, but rather as a spectrum that includes alternative isoforms and membrane-associated receptors [<xref ref-type="bibr" rid="B30">30</xref>]. In this context, the variability observed in ERα-positive tumors reinforces the need to incorporate membrane-bound estrogen receptors into current biological models, not as parallel entities, but as integral components of the molecular heterogeneity that shapes estrogen signaling [<xref ref-type="bibr" rid="B31">31</xref>].</p>
<p id="p-14">Importantly, receptor isoform expression and signaling plasticity are also influenced by post-transcriptional regulatory mechanisms that expand transcript diversity and functional adaptability [<xref ref-type="bibr" rid="B32">32</xref>]. Among these, RNA editing enzymes such as ADAR1, whose expression varies according to ER status and is associated with prognostic outcomes in breast cancer, can reshape RNA sequences, affecting mRNA stability, splicing, and coding potential [<xref ref-type="bibr" rid="B33">33</xref>]. Through these effects, ADAR1 may modulate the repertoire of receptor isoforms and downstream signaling pathways, facilitating adaptive responses to endocrine therapies and contributing to the development of resistance [<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>].</p>
<p id="p-15">Despite the growing body of literature addressing individual aspects of non-genomic estrogen signaling, a comprehensive framework integrating membrane-associated estrogen receptors with environmental modulation and tumor adaptive plasticity remains lacking.</p>
<p id="p-16">To address these limitations, this review adopts an integrative framework organized around three interrelated axes: (i) endocrine resistance in ERα-positive tumors, (ii) estrogen responsiveness in ERα-negative contexts, and (iii) environmental modulation of non-genomic estrogen signaling.</p>
<p id="p-17">This approach aims to bridge mechanistic insights with translational relevance, positioning non-genomic estrogen receptors within the broader evolution of biomarker-driven oncology [<xref ref-type="bibr" rid="B36">36</xref>].</p>
</sec>
<sec id="s2">
<title>Estrogens and their interaction with classical nuclear receptors</title>
<p id="p-18">In accordance with the conceptual framework described above, we will now discuss estrogen biology to contextualize the complexity of estrogen signaling in hormone-dependent tumors, without intending to provide an exhaustive review of steroidogenesis.</p>
<p id="p-19">Estrogens are synthesized from cholesterol through steroidogenesis, primarily in the gonads and, to a lesser extent, in the adrenal cortex. The aromatization of androgens constitutes the final and rate-limiting step in estrogen production [<xref ref-type="bibr" rid="B37">37</xref>], determining both systemic and local estrogen availability in tissues such as the breast.</p>
<p id="p-20">In humans, the main endogenous estrogens—estradiol (E2), estrone (E1), and estriol (E3)—exhibit distinct biological roles and relative abundances depending on physiological context [<xref ref-type="bibr" rid="B38">38</xref>]. E2 is the most potent estrogen and predominates during reproductive years, whereas E1 becomes more relevant after menopause due to peripheral aromatization in adipose tissue, linking metabolic status with estrogen exposure [<xref ref-type="bibr" rid="B39">39</xref>]. E3, mainly produced during pregnancy, displays weaker estrogenic activity [<xref ref-type="bibr" rid="B40">40</xref>].</p>
<p id="p-21">Endogenous estrogens exert their biological effects through a receptor network that has been central to modern endocrinology. The identification of ERα by Elwood Jensen established the basis for understanding estrogen action [<xref ref-type="bibr" rid="B41">41</xref>]. The subsequent discovery of estrogen receptor beta (ERβ) further expanded this framework, revealing a more complex regulatory system [<xref ref-type="bibr" rid="B42">42</xref>].</p>
<p id="p-22">Both ERα and ERβ belong to the nuclear receptor superfamily and function primarily as ligand-activated transcription factors. Upon activation, they bind estrogen response elements (EREs) and regulate gene expression programs involved in proliferation, metabolism, differentiation, and immune modulation [<xref ref-type="bibr" rid="B43">43</xref>]. This genomic signaling pathway has provided the foundation for breast cancer classification and the development of endocrine therapies [<xref ref-type="bibr" rid="B44">44</xref>].</p>
<p id="p-23">Despite structural similarities, ERα and ERβ differ in tissue distribution and functional output. ERα is generally associated with proliferative signaling in breast tissue, whereas ERβ is often linked to anti-proliferative and differentiating effects [<xref ref-type="bibr" rid="B45">45</xref>]. These differences contribute to the complexity of estrogen signaling in physiological and pathological contexts.</p>
<p id="p-24">Although classical nuclear signaling has been central to understanding estrogen biology, it does not fully account for the diversity, rapid kinetics, and context-dependent nature of estrogen responses. This limitation is particularly evident in breast cancer, where receptor status does not consistently predict functional signaling activity or therapeutic response, partly due to pathway crosstalk, receptor plasticity, and endocrine resistance mechanisms [<xref ref-type="bibr" rid="B46">46</xref>].</p>
<p id="p-25">Importantly, estrogen signaling is not restricted to ligand-dependent transcriptional regulation. Increasing evidence demonstrates that estrogen responses can also be initiated at the membrane level and transmitted through rapid intracellular cascades [<xref ref-type="bibr" rid="B47">47</xref>]. Although distinct in kinetics, these pathways converge on transcriptional regulators, supporting the concept of estrogen signaling as an integrated network in which receptor localization influences signaling dynamics and biological outcomes.</p>
<p id="p-26">The molecular classification of breast cancer, established through gene expression profiling, defines clinically relevant subtypes such as luminal A, luminal B, HER2-enriched, and TNBC [<xref ref-type="bibr" rid="B48">48</xref>]. While this framework remains essential for diagnosis and treatment, it does not fully capture tumor heterogeneity or explain variability in therapeutic response [<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>].</p>
<p id="p-27">These limitations underscore a broader challenge in biomarker-driven classification, where receptor expression alone may be insufficient to capture the functional signaling dynamics within tumor cells.</p>
<p id="p-28">In particular, estrogen-responsive behaviors observed in ERα-negative tumors and persistent signaling in the absence of detectable nuclear receptors highlight limitations of receptor-based classification systems [<xref ref-type="bibr" rid="B8">8</xref>]. These observations reveal a gap between receptor expression and functional signaling activity, supported by experimental and translational studies showing discrepancies between molecular classification and intracellular signaling dynamics [<xref ref-type="bibr" rid="B51">51</xref>–<xref ref-type="bibr" rid="B53">53</xref>].</p>
<p id="p-29">Consequently, non-genomic estrogen signaling pathways emerge as crucial mechanisms that broaden our understanding of the functional role of estrogens. Membrane-associated receptors, such as GPER-1 and ERα36, remain functionally active in different breast cancer subtypes and can be activated not only by endogenous estrogens but also by SERMs and environmental ligands [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B54">54</xref>].</p>
<p id="p-30">Within this framework, GPER-1 and ERα36 are not considered isolated alternative receptors but rather components of a broader signaling architecture that refines the current classification of subtypes and their therapeutic interpretation.</p>
<p id="p-31">It is important to note that the identification of membrane-associated estrogen receptors aligns with the overall evolution of biomarker-based oncology, where mechanistic discoveries provide progressively more information about clinically relevant targets, thus reducing the gap between the complexity of molecular signaling and therapeutic decision-making [<xref ref-type="bibr" rid="B7">7</xref>].</p>
<p id="p-32">Overall, while the genomic signaling of estrogen receptors forms the basis of current classification systems, it does not fully encompass the functional diversity of estrogen signaling in breast cancer.</p>
</sec>
<sec id="s3">
<title>Rapid estrogen responses: integration of genomic and non-genomic pathways</title>
<sec id="t3-1">
<title>The rise of GPER-1, an unconventional estrogen receptor</title>
<p id="p-33">Within the context of tumor heterogeneity and endocrine resistance, non-genomic estrogen signaling pathways have gained increasing attention as mechanisms that extend beyond classical receptor-mediated transcription. Among these, GPER-1 has emerged as a key mediator of rapid estrogen signaling, linking extracellular stimuli with intracellular adaptive responses [<xref ref-type="bibr" rid="B55">55</xref>–<xref ref-type="bibr" rid="B57">57</xref>]. This paradigm shift reflects the growing recognition that the classical ERα-centered framework is insufficient to fully explain the diversity and dynamics of estrogen-driven effects in cancer.</p>
<p id="p-34">Consistent with this perspective, increasing attention has been directed toward rapid estrogen responses that occur independently of transcriptional regulation. Early observations in the late 1990s reported cellular responses to E2 within seconds to minutes, providing initial evidence for signaling pathways operating beyond nuclear receptor activity [<xref ref-type="bibr" rid="B58">58</xref>]. Building on these findings, the proposal of an estrogen-sensitive G protein-coupled receptor (GPCR) in 2000 introduced a mechanistic basis for such rapid effects, supporting the existence of a non-genomic signaling route [<xref ref-type="bibr" rid="B20">20</xref>]. Shortly thereafter, Filardo and colleagues [<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>] identified and characterized this receptor, initially termed GPR30 and later renamed GPER-1, establishing its responsiveness to E2 and its role in rapid signaling [<xref ref-type="bibr" rid="B61">61</xref>].</p>
<p id="p-35">GPER-1 is predominantly localized at the plasma membrane, consistent with its classification as a GPCR [<xref ref-type="bibr" rid="B62">62</xref>], although it has also been detected in intracellular compartments such as the endoplasmic reticulum and Golgi apparatus [<xref ref-type="bibr" rid="B63">63</xref>]. This distribution is not merely descriptive; rather, it is functionally determinant, as receptor localization influences signaling kinetics, pathway engagement, and downstream biological responses. Reports of nuclear localization remain limited and somewhat controversial [<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B64">64</xref>], and in the context of non-genomic signaling should be interpreted cautiously, likely reflecting indirect modulation of transcription rather than canonical receptor activity.</p>
<p id="p-36">Consistent with this view, the spatial organization of GPER-1 contributes to the regulation of proliferation, migration, and transcriptional responses by shaping pathway selection and signal propagation dynamics [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>].</p>
<p id="p-37">From a broader perspective, GPER-1 shows how membrane-initiated estrogen signaling allows rapid signal propagation, while remaining coupled to transcriptional regulatory networks. This interdependence between subcellular localization and signaling is especially relevant in cancer, where changes in receptor distribution under therapeutic pressure can reconfigure signaling pathways and favor the appearance of more resistant phenotypes [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>].</p>
<p id="p-38">Beyond endogenous ligands, GPER-1 is activated by xenoestrogens such as BPA, a ubiquitous environmental compound detectable in multiple human biological fluids [<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>]. BPA can interact with membrane-associated estrogen receptors, including GPER-1 and ERα36, even at nanomolar concentrations [<xref ref-type="bibr" rid="B70">70</xref>–<xref ref-type="bibr" rid="B72">72</xref>]. This ligand promiscuity extends the functional scope of GPER-1 beyond physiological signaling, incorporating environmental modulation into its activity profile [<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>].</p>
<p id="p-39">Importantly, although experimental models consistently demonstrate GPER-1 activation by BPA, the magnitude and clinical relevance of these effects remain context-dependent, particularly with respect to exposure timing and tissue susceptibility [<xref ref-type="bibr" rid="B75">75</xref>]. In this context, BPA exposure links environmental signals to non-genomic estrogen pathways, reinforcing the need to consider endocrine disruption within broader signaling networks than those commanded exclusively by classical estrogen receptors [<xref ref-type="bibr" rid="B76">76</xref>].</p>
<p id="p-40">At the molecular level, GPER-1 activation engages heterotrimeric G proteins, leading to cAMP production via adenylate cyclase and subsequent activation of protein kinase A [<xref ref-type="bibr" rid="B65">65</xref>]. In parallel, Gβγ subunits promote intracellular Ca<sup>2+</sup> mobilization [<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>]. Additional signaling involves Src kinase activation, metalloprotease-mediated HB-EGF release, and transactivation of EGFR, ultimately converging on MAPK/ERK and PI3K/AKT pathways [<xref ref-type="bibr" rid="B79">79</xref>].</p>
<p id="p-41">These cascades are central to cancer biology, as they integrate extracellular cues with proliferation, survival, and migration programs [<xref ref-type="bibr" rid="B80">80</xref>]. Furthermore, these pathways converge on shared intracellular nodes that regulate both rapid signaling and transcriptional programs [<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>]. This convergence reinforces the concept that non-genomic signaling is functionally integrated with transcriptional regulation.</p>
<p id="p-42">Within this integrated network, additional regulatory layers include L-type calcium channels (e.g., Cav1.3) and integrin-mediated adhesion complexes, which further amplify Ca<sup>2+</sup> signaling and EGFR transactivation [<xref ref-type="bibr" rid="B83">83</xref>–<xref ref-type="bibr" rid="B85">85</xref>]. Collectively, these interconnected pathways support cellular plasticity, metabolic adaptation, and survival [<xref ref-type="bibr" rid="B68">68</xref>].</p>
<p id="p-43">Pharmacological and genetic approaches, including selective agonists (G1), antagonists (G15, G36), and gene silencing, have validated the functional relevance of GPER-1 [<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>]. Experimental models further demonstrate its involvement in vascular regulation, inflammation, and tumor-associated processes such as proliferation and migration [<xref ref-type="bibr" rid="B88">88</xref>–<xref ref-type="bibr" rid="B91">91</xref>].</p>
<p id="p-44">In breast cancer, GPER-1 has been implicated in endocrine resistance. In both E2-responsive and TMX-treated cells, its activation promotes MAPK/ERK and PI3K/AKT signaling [<xref ref-type="bibr" rid="B91">91</xref>–<xref ref-type="bibr" rid="B93">93</xref>]. Prolonged TMX exposure increases GPER-1 expression and enhances Ca<sup>2+</sup> mobilization, leading to increased proliferation, while resistant models show enhanced membrane localization and crosstalk with EGFR [<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>].</p>
<p id="p-45">The interaction of GPER-1-dependent estrogen signaling pathways allows for adaptive reorganization that is particularly relevant in the context of endocrine resistance, where sustained activation of the pathways compensates for the inhibition of ERα signaling [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B94">94</xref>].</p>
<p id="p-46">Clinically, GPER-1 expression has been associated with poor response to TMX, reduced relapse-free survival, and correlations with EGFR, HER2, and lymph node involvement [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B95">95</xref>, <xref ref-type="bibr" rid="B96">96</xref>]. These observations, supported by experimental, clinical, and computational data, reinforce its relevance as a potential prognostic biomarker [<xref ref-type="bibr" rid="B97">97</xref>]. This convergence supports the concept that ERα-negative tumors may retain functional estrogen responsiveness through non-genomic receptors [<xref ref-type="bibr" rid="B8">8</xref>].</p>
<p id="p-47">Beyond tumor cells, GPER-1 also modulates the tumor microenvironment. In cancer-associated fibroblasts, its activation induces HMGB1 secretion, promoting autophagy and TMX resistance [<xref ref-type="bibr" rid="B98">98</xref>]. Large-scale analyses (TCGA, METABRIC) further associate high GPER-1 expression with pro-metastatic pathways and adverse outcomes, particularly in ERα-negative and TNBC [<xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B99">99</xref>].</p>
<p id="p-48">In TNBC models, inhibition of GPER-1 reduces proliferation, migration, ERK/AKT activation, tumor growth, and metastasis [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B100">100</xref>, <xref ref-type="bibr" rid="B101">101</xref>]. It also promotes epithelial-mesenchymal transition (EMT), stemness, and adaptation to hypoxia via HIF-1α, further supporting its role in tumor plasticity [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B103">103</xref>].</p>
<p id="p-49">Overall, GPER-1 should be understood not merely as a mediator of rapid estrogen signaling but as an integrative node linking extracellular stimuli, intracellular kinase networks, and transcriptional outputs within dynamic signaling systems.</p>
</sec>
<sec id="t3-2">
<title>ERα36, transcending the classical paradigm of the nuclear receptor</title>
<p id="p-50">In parallel with GPER-1, the identification of ERα36 has further expanded the conceptual framework of estrogen signaling. ERα36 is an alternative splice variant of the <italic>ESR1</italic> gene encoding a 36 kDa protein that lacks the AF-1 and AF-2 transcriptional activation domains [<xref ref-type="bibr" rid="B104">104</xref>, <xref ref-type="bibr" rid="B105">105</xref>]. Although it retains DNA- and ligand-binding regions, it does not function as a classical transcription factor. Instead, it is primarily localized to the plasma membrane and cytoplasm, particularly in caveolae, where it mediates rapid signaling [<xref ref-type="bibr" rid="B104">104</xref>].</p>
<p id="p-51">ERα36 interacts with EGFR and other membrane-associated complexes, activating MAPK/ERK, PI3K/AKT, Src/FAK, and PKC pathways, thereby promoting proliferation, migration, and invasion [<xref ref-type="bibr" rid="B105">105</xref>–<xref ref-type="bibr" rid="B107">107</xref>].</p>
<p id="p-52">Consistent with its structural features, ERα36 is best understood as a mediator of membrane-initiated signaling whose biological effects depend on integration within broader signaling networks rather than direct transcriptional regulation [<xref ref-type="bibr" rid="B108">108</xref>]. This conceptual shift is essential to reposition ERα36 within estrogen signaling, moving from a truncated receptor view toward a systems-level regulator of signaling dynamics.</p>
<p id="p-53">Although occasional nuclear localization has been reported, it is associated with aggressive phenotypes and likely reflects indirect modulation of transcription rather than canonical receptor activity [<xref ref-type="bibr" rid="B21">21</xref>]. Functional studies using RNA interference demonstrate that ERα36 contributes to proliferation, EMT, stemness, and TMX resistance [<xref ref-type="bibr" rid="B107">107</xref>, <xref ref-type="bibr" rid="B109">109</xref>]. However, selective targeting remains technically challenging due to shared exons with canonical ERα, a limitation that may contribute to inter-study variability [<xref ref-type="bibr" rid="B24">24</xref>].</p>
<p id="p-54">In ER-positive models, ERα36 interferes with ERα signaling and redirects estrogen responses toward non-genomic pathways [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B110">110</xref>]. Notably, TMX can act as an agonist of ERα36, activating EGFR/ERK signaling and promoting proliferation [<xref ref-type="bibr" rid="B111">111</xref>]. Inhibition of EGFR/HER2 or ERα36-associated pathways restores TMX sensitivity, including in stem-like cell populations [<xref ref-type="bibr" rid="B112">112</xref>]. These findings support a model in which ERα36 redirects signaling during endocrine therapy, contributing to resistance. This redirection mechanism may provide an explanation for the paradoxical effects of TMX observed in certain tumor contexts.</p>
<p id="p-55">Importantly, ERα36 expression should be interpreted within a broader regulatory landscape that includes post-transcriptional mechanisms such as RNA editing [<xref ref-type="bibr" rid="B24">24</xref>]. Enzymes like ADAR1 have been associated with breast cancer heterogeneity and prognosis, supporting the concept that receptor isoform expression and signaling plasticity are shaped by multilayer regulatory processes [<xref ref-type="bibr" rid="B113">113</xref>]. In this line, ERα36 upregulation would represent a biologically coherent extension of intrinsic tumor heterogeneity rather than an isolated alteration.</p>
<p id="p-56">Clinically, ERα36 overexpression is associated with poor disease-free survival and reduced response to TMX [<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B114">114</xref>]. Approximately 44% of ERα-positive tumors overexpress ERα36, correlating with increased metastatic potential and therapeutic resistance [<xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B116">116</xref>]. Systems-level analyses further suggest that ERα36 promotes transitions toward more aggressive, endocrine-resistant phenotypes [<xref ref-type="bibr" rid="B117">117</xref>].</p>
<p id="p-57">In TNBC models, ERα36 mediates rapid responses to E2 and environmental estrogens such as BPA, activating MAPK/ERK, PI3K/AKT, Src/FAK, and EGFR pathways [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B106">106</xref>]. Silencing ERα36 reduces tumor growth in xenograft models, supporting its functional relevance [<xref ref-type="bibr" rid="B106">106</xref>]. In HER2-positive tumors, ERα36 also contributes to adaptive resistance through crosstalk with EGFR and HER2 [<xref ref-type="bibr" rid="B24">24</xref>].</p>
<p id="p-58">ERα36 further integrates EMT and stemness programs through MAPK/ERK, PI3K/AKT, and Wnt/β-catenin signaling. In this context, YAP emerges as a convergent effector linking mechanical and mitogenic cues with transcriptional programs associated with plasticity and self-renewal [<xref ref-type="bibr" rid="B118">118</xref>–<xref ref-type="bibr" rid="B120">120</xref>].</p>
<p id="p-59">Importantly, this positioning of ERα36 within multiple convergent pathways reinforces its role as a signaling hub rather than a linear pathway component. Within this integrated network, ERα36 contributes to tumor heterogeneity by coordinating proliferative, survival, and stemness-related programs [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B107">107</xref>, <xref ref-type="bibr" rid="B117">117</xref>].</p>
<p id="p-60">Together with GPER-1, ERα36 supports an integrated model in which membrane-initiated signaling dynamically interacts with transcriptional regulation. This framework provides a mechanistic basis for estrogen signaling in ERα-negative tumors and opens opportunities for the identification of new therapeutic targets.</p>
</sec>
</sec>
<sec id="s4">
<title>Implications of GPER-1/ERα36 coexpression in the development of breast cancer</title>
<sec id="t4-1">
<title>Expanding non-genomic estrogen signaling across cancer types</title>
<p id="p-61">Building on the integrated model of estrogen signaling outlined above, the functional relevance of GPER-1 and ERα36 extends beyond rapid, membrane-initiated responses to include broader regulatory effects on transcriptional programs and cellular adaptation. Although both receptors are predominantly localized at the plasma membrane, alternative subcellular distributions -such as cytoplasmic and, less consistently, nuclear localization- have also been described. Beyond canonical trafficking through the endoplasmic reticulum and Golgi apparatus, emerging evidence indicates that alterations in receptor localization and intracellular trafficking can influence the functional availability of membrane-associated estrogen receptors, thereby modulating downstream signaling outputs in cancer [<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B122">122</xref>]. This variability highlights the dynamic and context-dependent nature of non-canonical estrogen receptors.</p>
<p id="p-62">Importantly, signaling downstream of GPER-1 and ERα36 is not restricted to transient cytoplasmic events. Multiple effectors activated by these receptors converge on transcriptional regulators associated with proliferation, survival, and adaptation [<xref ref-type="bibr" rid="B123">123</xref>]. This convergence establishes a mechanistic link between rapid signaling and transcriptional reprogramming in cancer cells, supporting a model in which membrane-initiated estrogen signaling operates as part of a functional continuum rather than as an isolated non-genomic process (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig id="fig1" position="float">
<label>Figure 1</label>
<caption>
<p id="fig1-p-1">
<bold>Node of convergence between GPER-1, RTKs, and ERα36 in breast cancer.</bold> GPER-1 and ERα36 functionally converge with tyrosine kinase receptors (RTKs), especially EGFR/HER2, activating Src and rapid signaling pathways that include intracellular Ca<sup>2+</sup> mobilization, MAPK/ERK, PI3K/AKT, and YAP/TAZ, which promote tumor plasticity and EMT. These responses are associated with therapeutic resistance in breast cancer.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-07-1002377-g001.tif" />
</fig>
<p id="p-63">As such, early signaling events can be translated into sustained gene expression changes [<xref ref-type="bibr" rid="B124">124</xref>], a feature that is particularly relevant in cancer, where transient stimuli may consolidate into stable phenotypic states, promoting cellular plasticity [<xref ref-type="bibr" rid="B125">125</xref>, <xref ref-type="bibr" rid="B126">126</xref>] and therapeutic resistance [<xref ref-type="bibr" rid="B127">127</xref>].</p>
<p id="p-64">The activity of these receptors has been documented across multiple physiological and pathological contexts. In cardiovascular systems, GPER-1 and ERα36 regulate endothelial and vascular smooth muscle function, influencing vascular tone and inflammatory responses [<xref ref-type="bibr" rid="B128">128</xref>–<xref ref-type="bibr" rid="B130">130</xref>]. In the nervous system, they contribute to neuronal survival, synaptic plasticity, oxidative stress responses, and neuroprotection [<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>]. In metabolic tissues, they modulate insulin sensitivity and energy homeostasis [<xref ref-type="bibr" rid="B133">133</xref>].</p>
<p id="p-65">Taken together, these observations support the notion that non-genomic estrogen signaling represents a conserved regulatory mechanism across tissues [<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B135">135</xref>], reinforcing its biological relevance in cancer development [<xref ref-type="bibr" rid="B134">134</xref>].</p>
<p id="p-66">In this way, non-genomic estrogen signaling should be interpreted not as a secondary or accessory pathway, but as a fundamental component of estrogen biology with conserved roles in cell proliferation, survival, and adaptation across physiological and pathological conditions (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<p id="p-67">Consistently, in proliferative benign conditions such as endometriosis and uterine leiomyomas, GPER-1 and ERα36 promote survival and tissue expansion [<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B136">136</xref>]. In hormone-related cancers, including endometrial and ovarian tumors, their expression has been associated with sustained proliferative and migratory responses [<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B133">133</xref>].</p>
<p id="p-68">Altogether, this cross-tissue evidence supports a model in which GPER-1 and ERα36 act as conserved mediators of estrogen signaling, whose dysregulation in cancer contributes to sustained proliferative signaling, cellular plasticity, and therapeutic resistance.</p>
</sec>
<sec id="t4-2">
<title>Evidence and limitations of GPER-1/ERα36 co-expression</title>
<p id="p-69">Despite the growing interest in non-genomic estrogen receptors, no clinical studies have directly evaluated the simultaneous coexpression of GPER-1 and ERα36 in breast cancer. Nevertheless, indirect evidence supports the plausibility of their coexistence. GPER-1 is detected in approximately 50–60% of tumors [<xref ref-type="bibr" rid="B93">93</xref>] and co-expressed with ERα in around 40% of cases [<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B137">137</xref>]. ERα36 is present in roughly 40% of breast cancers, including luminal B and triple-negative subtypes [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B139">139</xref>].</p>
<p id="p-70">Taken together, these prevalence patterns suggest that co-expression may occur in a substantial subset of tumors. However, such estimates should be interpreted with caution, as they are not derived from studies specifically designed to assess both receptors simultaneously.</p>
<p id="p-71">This gap highlights the need for prospective studies specifically designed to assess co-expression patterns and their clinical implications. In particular, the absence of integrated multi-omics datasets that simultaneously evaluate both receptors limits the ability to accurately characterize their coordinated activity and to understand how this interaction shapes tumor behavior.</p>
</sec>
<sec id="t4-3">
<title>GPER-1/ERα36 crosstalk: functional interaction and amplification of adaptive signaling in cancer</title>
<p id="p-72">From an evolutionary and functional perspective, crosstalk between estrogen receptors provides signaling versatility [<xref ref-type="bibr" rid="B134">134</xref>, <xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B141">141</xref>]. Experimental evidence supports this interaction: in heterologous systems, GPER-1 overexpression has been associated with modulation of ERα36-related signaling, suggesting a functional interplay between membrane-initiated and non-classical estrogen receptor pathways rather than a consistent direct regulation of receptor expression [<xref ref-type="bibr" rid="B142">142</xref>]. Interestingly, both GPER-1 and ERα36 activate HER2/EGFR by triggering the activation of MAPK/ERK and PI3K/AKT [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B143">143</xref>–<xref ref-type="bibr" rid="B145">145</xref>]. This circuit can establish a cross-talk that promotes tumor development in different types of breast cancer (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<p id="p-73">These findings support a regulatory interaction between GPER-1 and ERα36 that may establish a positive feedback loop [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B127">127</xref>], enhancing non-genomic estrogen signaling and promoting adaptive plasticity [<xref ref-type="bibr" rid="B24">24</xref>]. In this context, such a loop could sustain pathway activation under selective pressures, including endocrine-disrupting chemicals (EDCs) and endocrine therapy [<xref ref-type="bibr" rid="B146">146</xref>, <xref ref-type="bibr" rid="B147">147</xref>].</p>
<p id="p-74">Additionally, interactions between GPER-1 and ERα signaling pathways have been shown to modulate inflammatory responses, including inhibition of NF-κB activity and regulation of cytokines such as TNFα and IL-6, suggesting a role in shaping the tumor microenvironment [<xref ref-type="bibr" rid="B121">121</xref>]. These observations extend estrogen signaling to tumor-microenvironment communication, although this dimension remains incompletely characterized.</p>
<p id="p-75">Beyond intracellular signaling, non-genomic estrogen receptors may also play a relevant role in intercellular communication within the tumor microenvironment [<xref ref-type="bibr" rid="B148">148</xref>]. Indeed, extracellular vesicles (EVs) have emerged as key mediators of signal propagation, enabling the transfer of proteins, lipids, and nucleic acids between tumor and stromal cells. EV-mediated cargo transfer can thus contribute to EMT, stemness, and metastatic progression [<xref ref-type="bibr" rid="B149">149</xref>].</p>
<p id="p-76">Within this framework, the available evidence supports a plausible mechanistic link between membrane estrogen receptor activation and EV biogenesis [<xref ref-type="bibr" rid="B150">150</xref>]. As established, E2 stimulates exosome biogenesis through nSMase2 activation, promoting ceramide production and intraluminal vesicle formation via an ESCRT-independent pathway, thereby increasing EV release with potential implications for tumor progression [<xref ref-type="bibr" rid="B151">151</xref>]. GPER-1 stimulation triggers rapid signaling pathways, including PLC/IP3-mediated Ca<sup>2+</sup> mobilization, and is functionally associated with intracellular trafficking routes involving the endoplasmic reticulum-Golgi axis and endocytic processes, mechanisms closely linked to membrane dynamics and vesicular transport [<xref ref-type="bibr" rid="B152">152</xref>, <xref ref-type="bibr" rid="B153">153</xref>]. Moreover, studies on GPCRs indicate that these pathways can regulate EV release and that the receptors themselves may be incorporated as functional cargo, facilitating intercellular signal propagation [<xref ref-type="bibr" rid="B154">154</xref>, <xref ref-type="bibr" rid="B155">155</xref>]. Collectively, these findings support a model in which GPER-1 may integrate into EV-associated pathways, contributing to the dissemination of non-genomic estrogen signaling and potentially to tumor adaptive responses [<xref ref-type="bibr" rid="B156">156</xref>].</p>
<p id="p-77">In parallel, evidence suggests that ERα36 is also connected to pathways regulating membrane dynamics and vesicular trafficking. ERα36 mediates rapid non-genomic signaling through activation of the MAPK/ERK and PI3K/AKT cascades [<xref ref-type="bibr" rid="B27">27</xref>], which are closely associated with cytoskeletal remodeling, endocytosis, and intracellular transport [<xref ref-type="bibr" rid="B109">109</xref>]. These features position ERα36 within signaling networks compatible with vesicle formation and trafficking. Although direct evidence linking ERα36 to EV biogenesis remains limited, its role in rapid signaling, cellular plasticity, and endocrine resistance supports its potential involvement in EV-mediated intercellular communication, facilitating the propagation of non-genomic estrogenic signals and adaptive tumor responses.</p>
<p id="p-78">However, this highlights analogies with other GPCRs and signaling systems rather than from direct experimental demonstrations linking GPER-1 or ERα36 activation to EV biogenesis or cargo composition [<xref ref-type="bibr" rid="B154">154</xref>, <xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>]. Therefore, specific functional studies are required to directly validate the participation of these receptors in EV-related processes within relevant pathophysiological contexts.</p>
<p id="p-79">In perspective, the interaction between GPER-1 and ERα36 likely amplifies non-genomic estrogen signaling and functionally integrates tumor cells with their microenvironment, potentially through feedback mechanisms that promote adaptive plasticity [<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B159">159</xref>]. Furthermore, their association with vesicular trafficking pathways suggests a possible role in EV-mediated communication (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig id="fig2" position="float">
<label>Figure 2</label>
<caption>
<p id="fig2-p-1">
<bold>The integrative framework GPER-1/ERα36 coactivation.</bold> GPER-1 and ERα36 coactivation connects endocrine resistance, ERα-negative estrogen responsiveness, and environmental modulation of signaling. The model also incorporates tumor-microenvironment interactions, extracellular vesicle-mediated communication, and multi-omics-based translational applications.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="etat-07-1002377-g002.tif" />
</fig>
<p id="p-80">On the other hand, there is a clear need for prospective studies that not only evaluate co-expression patterns but also define their clinical relevance.</p>
<p id="p-81">These findings support a model in which non-genomic estrogen signaling pathways—particularly those mediated by GPER-1 and ERα36—functionally complement classical receptor systems. To integrate these observations into a clinically applicable framework, we propose a multi-marker panel incorporating ERα, PR, EGFR, GPER-1, and ERα36 (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p id="t1-p-1">
<bold>GPER-1 and ERα36 in expanded ERα/PR/EGFR biomarker frameworks</bold>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Biomarker</bold>
</th>
<th>
<bold>Role</bold>
</th>
<th>
<bold>Evidence type</bold>
</th>
<th>
<bold>Tumor evidence</bold>
</th>
<th>
<bold>Subtype</bold>
</th>
<th>
<bold>Functional implication</bold>
</th>
<th>
<bold>Diagnostic value</bold>
</th>
<th>
<bold>Main references</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>
<bold>ERα</bold>
</td>
<td>Classical nuclear estrogen receptor</td>
<td>Primary experimental + clinical + genomic</td>
<td>Defines luminal tumors</td>
<td>Luminal A/B</td>
<td>Hormone-dependent transcriptional regulation</td>
<td>Core clinical marker</td>
<td>Clinical standard</td>
</tr>
<tr>
<td>
<bold>PR</bold>
</td>
<td>ERα downstream effector</td>
<td>Clinical + mechanistic</td>
<td>ER axis integrity</td>
<td>Luminal A/B</td>
<td>Functional ER signaling</td>
<td>Predicts endocrine response</td>
<td>Clinical standard</td>
</tr>
<tr>
<td>
<bold>EGFR</bold>
</td>
<td>RTK</td>
<td>Experimental + clinical</td>
<td>Aggressive tumors</td>
<td>TNBC/HER2</td>
<td>MAPK/PI3K signaling</td>
<td>Aggressive marker</td>
<td>[<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B160">160</xref>]</td>
</tr>
<tr>
<td>
<bold>GPER-1</bold>
</td>
<td>GPCR non-genomic</td>
<td>Experimental + pharmacology + translational</td>
<td>~50–60% tumors</td>
<td>Luminal resistant/TNBC</td>
<td>Plasticity, resistance</td>
<td>ER-independent signaling</td>
<td>[<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B95">95</xref>–<xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B101">101</xref>–<xref ref-type="bibr" rid="B103">103</xref>, <xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B160">160</xref>, <xref ref-type="bibr" rid="B161">161</xref>]</td>
</tr>
<tr>
<td>
<bold>ERα36</bold>
</td>
<td>Splice variant ESR1</td>
<td>Experimental + translational</td>
<td>~30–40% tumors</td>
<td>Luminal B/TNBC</td>
<td>EMT, resistance</td>
<td>Non-classical ER signaling</td>
<td>[<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B104">104</xref>–<xref ref-type="bibr" rid="B106">106</xref>, <xref ref-type="bibr" rid="B108">108</xref>–<xref ref-type="bibr" rid="B112">112</xref>, <xref ref-type="bibr" rid="B114">114</xref>–<xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B139">139</xref>]</td>
</tr>
<tr>
<td>
<bold>GPER-1 +</bold>
<break />
<bold>ERα36</bold>
</td>
<td>Crosstalk axis</td>
<td>Mechanistic integration</td>
<td>Not unified clinically</td>
<td>Luminal resistant/TNBC</td>
<td>Adaptive plasticity</td>
<td>Candidate axis</td>
<td>[<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B127">127</xref>]</td>
</tr>
<tr>
<td>
<bold>Integration</bold>
</td>
<td>Network signaling</td>
<td>Systems biology</td>
<td>Correlative datasets</td>
<td>All</td>
<td>MAPK/PI3K-transcription</td>
<td>Multi-marker support</td>
<td>[<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>, <xref ref-type="bibr" rid="B162">162</xref>]</td>
</tr>
<tr>
<td>
<bold>Limitation</bold>
</td>
<td>Translational gap</td>
<td>Methodological</td>
<td>Limited validation</td>
<td>—</td>
<td>Context dependence</td>
<td>Needs clinical validation</td>
<td>[<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B163">163</xref>]</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="t4-4">
<title>Environmental modulation and sporadic breast cancer</title>
<p id="p-82">The relevance of a GPER-1/ERα36 signaling axis becomes particularly evident in the context of sporadic breast cancer and environmental exposure [<xref ref-type="bibr" rid="B164">164</xref>]. Within this mechanistic framework, membrane-associated estrogen receptors exhibit responsiveness to non-classical ligands, including EDCs such as BPA. Despite its relatively low affinity for classical ERα, BPA efficiently activates non-genomic estrogen signaling pathways mediated by GPER-1 and ERα36 [<xref ref-type="bibr" rid="B70">70</xref>–<xref ref-type="bibr" rid="B72">72</xref>], thereby providing a biologically plausible link between environmental exposure and tumor signaling plasticity.</p>
<p id="p-83">These findings support a role for environmental ligands as modulators of non-genomic estrogen signaling. Importantly, while BPA clearly activates non-genomic pathways in experimental systems [<xref ref-type="bibr" rid="B165">165</xref>], the extent to which these mechanisms translate into clinically relevant effects depends on exposure levels, timing, and tissue context [<xref ref-type="bibr" rid="B165">165</xref>].</p>
<p id="p-84">Additional experimental evidence further supports the interaction between environmental estrogens and tumor susceptibility pathways. For instance, loss of BRCA1 has been associated with increased cellular sensitivity to BPA exposure, suggesting that genetic background may modulate the impact of endocrine disruptors on breast cancer risk [<xref ref-type="bibr" rid="B14">14</xref>]. Moreover, BPA and structurally related compounds such as bisphenol S have been shown to disrupt mammary epithelial cell morphogenesis, reinforcing their potential role in early tumorigenic processes [<xref ref-type="bibr" rid="B15">15</xref>].</p>
<p id="p-85">Within this framework, environmental estrogens are best understood as modulators of signaling intensity rather than primary oncogenic drivers [<xref ref-type="bibr" rid="B166">166</xref>, <xref ref-type="bibr" rid="B167">167</xref>].</p>
<p id="p-86">This perspective is particularly relevant in sporadic breast cancer [<xref ref-type="bibr" rid="B166">166</xref>, <xref ref-type="bibr" rid="B167">167</xref>], where chronic low-dose exposure is estimated to progressively remodel estrogen-sensitive signaling networks over time [<xref ref-type="bibr" rid="B168">168</xref>, <xref ref-type="bibr" rid="B169">169</xref>].</p>
<p id="p-87">Although direct binding of BPA to ERα36 remains less clearly established, functional evidence supports the involvement of ERα36 in BPA-induced signaling [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B71">71</xref>].</p>
<p id="p-88">Collectively, current evidence supports a model in which environmental estrogens, particularly BPA, act as context-dependent modulators of non-genomic estrogen signaling rather than primary oncogenic drivers [<xref ref-type="bibr" rid="B170">170</xref>]. Through activation of GPER-1/ERα36-associated pathways, environmental estrogens such as BPA can enhance proliferative and adaptive signaling, EGFR-mediated responses [<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B160">160</xref>, <xref ref-type="bibr" rid="B171">171</xref>]. These effects are consistent with rapid, non-genomic estrogen signaling mechanisms that support cellular adaptation (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Importantly, their overall impact is shaped by exposure dynamics and tissue-specific context [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B165">165</xref>], contributing to the progressive reprogramming of estrogen-responsive signaling networks over time [<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B172">172</xref>].</p>
<p id="p-89">Both GPER-1 and ERα36 converge in mechanisms involving intracellular Ca<sup>2+</sup> and EGFR transactivation [<xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B144">144</xref>]. Notably, ERα36 can form membrane-associated complexes with Src to directly activate ERK2 independently of EGFR, whereas GPER-1 can activate ERK1/2 or p38 MAPK through alternative routes (<xref ref-type="fig" rid="fig1">Figure 1</xref>). These observations indicate that both receptors engage overlapping but non-identical signaling pathways, enabling both redundancy and diversification of signaling outputs. Rather than operating in a linear hierarchy, GPER-1 and ERα36 are better understood as components of parallel and cooperative signaling modules.</p>
<p id="p-90">Overall, the available evidence supports the plausibility of functional cooperation between GPER-1 and ERα36 in breast cancer cells. This cooperative framework helps explain the robustness and adaptability of tumor signaling (<xref ref-type="fig" rid="fig2">Figure 2</xref>), although further studies are required to directly validate these interactions in clinically relevant contexts.</p>
</sec>
<sec id="t4-5">
<title>Translational relevance of GPER-1/ERα36 coactivation in breast cancer subtypes</title>
<p id="p-91">Breast cancer exhibits marked biological and clinical heterogeneity that cannot be fully explained by classical estrogen receptor signaling alone [<xref ref-type="bibr" rid="B8">8</xref>]. Increasing evidence implicates non-genomic pathways, particularly GPER-1 and ERα36, in sustaining proliferative and adaptive responses across tumor context [<xref ref-type="bibr" rid="B173">173</xref>]. Their co-activation emerges as a plausible mechanistic axis linking signaling plasticity with clinically relevant subtypes and therapeutic resistance [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B106">106</xref>].</p>
<p id="p-92">To better integrate these findings into a clinically relevant framework, GPER-1 and ERα36 coexpression can be conceptualized across three functional scenarios:</p>
<p id="p-93">
<list list-type="simple">
<list-item>
<label>i.</label>
<p>
<bold>Luminal endocrine-resistant tumors</bold>, where coactivation of GPER-1/ERα36 sustains MAPK/ERK and PI3K/AKT signaling despite ERα inhibition;</p>
</list-item>
<list-item>
<label>ii.</label>
<p>
<bold>ERα-negative or triple-negative tumors</bold> with retained estrogen responsiveness mediated by non-genomic receptors;</p>
</list-item>
<list-item>
<label>iii.</label>
<p>
<bold>Environmentally modulated sporadic tumors</bold>, where ligands such as BPA enhance signaling intensity and pathway activation.</p>
</list-item>
</list>
</p>
<p id="p-94">This integrative framework supports the development of combinatorial biomarkers based on non-genomic estrogen receptors (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Within this context, co-activation of GPER-1 and ERα36 may amplify proliferative signaling, enhance phenotypic plasticity, and facilitate therapeutic evasion, particularly in aggressive or treatment-resistant tumor subtypes [<xref ref-type="bibr" rid="B174">174</xref>, <xref ref-type="bibr" rid="B175">175</xref>].</p>
<p id="p-95">From a translational perspective, multi-omic profiling strategies integrating genomic and transcriptomic data have demonstrated the ability to refine molecular classification beyond conventional hormone receptor status, enabling tumor stratification with greater functional resolution [<xref ref-type="bibr" rid="B176">176</xref>, <xref ref-type="bibr" rid="B177">177</xref>] (<xref ref-type="table" rid="t1">Table 1</xref>). Notably, transcriptomic analyses from public datasets such as TCGA suggest that GPER expression may be reduced in certain breast cancer subtypes compared to normal tissue [<xref ref-type="bibr" rid="B178">178</xref>, <xref ref-type="bibr" rid="B179">179</xref>]. However, this apparent decrease in expression does not necessarily reflect diminished functional activity. Instead, it may indicate context-dependent regulation, including altered receptor localization, differential expression across tumor subpopulations, or compensatory activation of parallel signaling pathways [<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B123">123</xref>, <xref ref-type="bibr" rid="B180">180</xref>]. These observations emphasize the need to integrate expression data with functional analyses, highlighting tumor heterogeneity and supporting dynamic classification frameworks based on receptor activity and integrated signaling networks.</p>
<p id="p-96">This approach supports the identification of biomarkers associated with endocrine resistance and may guide patient stratification for targeted or combination therapies involving non-genomic estrogen signaling pathways [<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B162">162</xref>].</p>
<p id="p-97">Expanding the understanding of estrogenic signaling by incorporating the functional roles of GPER-1 and ERα36 provides a conceptual framework for investigating non-genomic estrogen networks in breast cancer [<xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B127">127</xref>]. Within this context, GPER-1 and ERα36 could be incorporated into multi-layer biomarker panels, particularly in subtypes characterized by high plasticity such as luminal B and TNBC [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B181">181</xref>]. Their inclusion may improve the identification of endocrine-resistant phenotypes and support the development of combination therapies targeting both genomic and non-genomic pathways.</p>
<p id="p-98">This approach is consistent with emerging precision oncology frameworks, in which integrated signaling networks, rather than individual biomarkers, guide therapeutic decision-making [<xref ref-type="bibr" rid="B163">163</xref>, <xref ref-type="bibr" rid="B182">182</xref>]. However, validation in clinically annotated cohorts remains essential to determine their translational relevance and applicability [<xref ref-type="bibr" rid="B6">6</xref>].</p>
</sec>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p id="p-99">In recent years, estrogen signaling in breast cancer has expanded beyond the classical ERα genomic pathway to include non-genomic mechanisms that contribute to tumor heterogeneity. This supports a shift from receptor-centered models toward integrated signaling network frameworks that better reflect tumor biology. Within this context, incorporating GPER-1 and ERα36 into tumor characterization may refine ER-based classification by identifying tumors driven by membrane-initiated estrogen signaling, often underrecognized in clinical practice.</p>
<p id="p-100">In luminal tumors, particularly luminal B, ERα36 overexpression is associated with endocrine resistance and activation of EGFR, MAPK, and PI3K/AKT pathways. GPER-1 and ERα36 also respond to endocrine disruptors such as BPA, linking environmental exposure to tumor development.</p>
<p id="p-101">Although supported by experimental evidence, these findings still require validation in prospective clinical cohorts.</p>
<p id="p-102">This link between environmental exposure and non-genomic estrogen signaling highlights the need to consider environmental factors in breast cancer models.</p>
<p id="p-103">From a translational perspective, integrating receptor signaling with exposure biology may help explain tumor variability and uncover clinically unrecognized subtypes.</p>
<p id="p-104">Overall, GPER-1 and ERα36 contribute to signaling plasticity and are associated with aggressive behavior and therapeutic resistance. Their use as functional biomarkers may improve stratification and help predict endocrine resistance. Future studies should validate their combined analysis using multi-omics and spatial approaches, moving toward functional rather than purely descriptive tumor classification.</p>
<p id="p-105">Taken together, the integration of GPER-1 and ERα36 within a unified framework of non-genomic estrogen signaling provides a conceptual basis for understanding how environmental cues, receptor plasticity, and intracellular signaling networks converge to shape breast cancer progression and therapeutic response.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>BPA</term>
<def>
<p>bisphenol A</p>
</def>
</def-item>
<def-item>
<term>E1</term>
<def>
<p>estrone</p>
</def>
</def-item>
<def-item>
<term>E2</term>
<def>
<p>estradiol</p>
</def>
</def-item>
<def-item>
<term>E3</term>
<def>
<p>estriol</p>
</def>
</def-item>
<def-item>
<term>EDCs</term>
<def>
<p>endocrine-disrupting chemicals</p>
</def>
</def-item>
<def-item>
<term>EMT</term>
<def>
<p>epithelial-mesenchymal transition</p>
</def>
</def-item>
<def-item>
<term>ERα</term>
<def>
<p>estrogen receptor alpha</p>
</def>
</def-item>
<def-item>
<term>ERβ</term>
<def>
<p>estrogen receptor beta</p>
</def>
</def-item>
<def-item>
<term>EVs</term>
<def>
<p>extracellular vesicles</p>
</def>
</def-item>
<def-item>
<term>GPCR</term>
<def>
<p>G protein-coupled receptor</p>
</def>
</def-item>
<def-item>
<term>GPER-1</term>
<def>
<p>G protein-coupled estrogen receptor 1</p>
</def>
</def-item>
<def-item>
<term>SERMs</term>
<def>
<p>selective estrogen receptor modulators</p>
</def>
</def-item>
<def-item>
<term>TMX</term>
<def>
<p>tamoxifen</p>
</def>
</def-item>
<def-item>
<term>TNBC</term>
<def>
<p>triple-negative breast cancer</p>
</def>
</def-item>
</def-list>
</glossary>
<sec id="s6">
<title>Declarations</title>
<sec id="t-6-1">
<title>Author contributions</title>
<p>LMC: Conceptualization, Resources, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Writing—original draft, Writing—review &amp; editing. YA: Formal analysis, Supervision, Validation, Investigation, Visualization, Writing—review &amp; editing. RFT: Validation, Investigation, Writing—review &amp; editing. J Spies: Supervision, Investigation, Writing—review &amp; editing. SSM: Validation, Investigation, Writing—review &amp; editing. MS: Investigation, Methodology, Writing—original draft. JC: Investigation, Methodology, Writing—original draft. JG: Investigation, Methodology, Writing—original draft. DM: Investigation, Methodology, Writing—original draft. J Soto: Investigation, Methodology, Writing—original draft. All authors read and approved the submitted version.</p>
</sec>
<sec id="t-6-2" sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>The authors declare that they have no conflicts of interest.</p>
</sec>
<sec id="t-6-3">
<title>Ethical approval</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-4">
<title>Consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-5">
<title>Consent to publication</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-6" sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-7">
<title>Funding</title>
<p>This work was supported by ANID FONDECYT INICIACIÓN 11240855 (LMC), ANID FONDECYT INICIACIÓN 11230898 (RFT). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<sec id="t-6-8">
<title>Copyright</title>
<p>© The Author(s) 2026.</p>
</sec>
</sec>
<sec id="s7">
<title>Publisher’s note</title>
<p>Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.</p>
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