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  <front>
    <journal-meta id="journal-meta-1">
      <journal-id journal-id-type="nlm-ta">Biomedical Research and Therapy</journal-id>
      <journal-id journal-id-type="publisher-id">Biomedical Research and Therapy</journal-id>
      <journal-id journal-id-type="journal_submission_guidelines">http://bmrat.org/</journal-id>
      <journal-title-group>
        <journal-title>Biomedical Research and Therapy</journal-title>
      </journal-title-group>
      <issn publication-format="print"/>
    </journal-meta>
    <article-meta id="article-meta-1">
      <article-id pub-id-type="doi">10.15419/bmrat.v11i10.932</article-id>
      <title-group>
        <article-title id="at-3c6fbf31cf23">
          <bold id="strong-1">Inhibiting autophagy does not decrease drug resistance in breast cancer stem-like cells under hypoxic conditions</bold>
        </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-99481a5bbda0">
            <surname>Khan</surname>
            <given-names>Bui Dinh</given-names>
          </name>
          <email>bdkhan@hcmus.edu.vn</email>
          <xref id="x-7cfc11054ddf" rid="a-17163c2b4b9d" ref-type="aff">1</xref>
          <xref id="x-f970f35faf10" rid="a-097e5b402918" ref-type="aff">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid"/>
          <name id="n-53b27eada829">
            <surname>Nhan</surname>
            <given-names>Tran Ngo The</given-names>
          </name>
          <xref id="x-d99302a77b53" rid="a-17163c2b4b9d" ref-type="aff">1</xref>
          <xref id="x-90f2d7a320da" rid="a-097e5b402918" ref-type="aff">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-7254-0717</contrib-id>
          <name id="n-6fa3e4401cd8">
            <surname>Pham</surname>
            <given-names>Phuc Van</given-names>
          </name>
          <xref id="x-4b07fc3b0bb1" rid="a-097e5b402918" ref-type="aff">2</xref>
          <xref id="x-b4ef1e6e53bd" rid="a-71b75935f6ff" ref-type="aff">3</xref>
        </contrib>
        <aff id="a-17163c2b4b9d">
          <institution>Laboratory of Stem Cell Research and Application, University of Science Ho Chi Minh City, Ho Chi Minh City, Viet Nam</institution>
        </aff>
        <aff id="a-097e5b402918">
          <institution>Viet Nam National University Ho Chi Minh City, Ho Chi Minh City, Viet Nam</institution>
        </aff>
        <aff id="a-71b75935f6ff">
          <institution>Stem Cell Institute, University of Science Ho Chi Minh City, Ho Chi Minh City, Viet Nam</institution>
        </aff>
      </contrib-group>
      <volume>11</volume>
      <issue>10</issue>
      <fpage>6859</fpage>
      <lpage>6868</lpage>
      <permissions/>
      <abstract id="abstract-0f1bda5f9d7e">
        <title id="abstract-title-1347db066d1e">Abstract</title>
        <p id="paragraph-082a250c0cb1"><bold id="s-1088e28ebee0">Introduction</bold>: Breast cancer has been one of the most frequently diagnosed cancers in women over the past decade. The presence of a breast cancer stem cell (BCSC) population within breast tumors significantly contributes to malignancy and drug resistance. Under the hypoxic conditions of breast tumors, BCSCs exhibit increased resistance to chemotherapy, complicating treatment and reducing its efficacy. Consequently, targeting BCSCs is considered a crucial strategy for breast cancer treatment. We hypothesize that the chemotherapy resistance of BCSCs is dependent on the upregulation of autophagy triggered by hypoxia. This study aims to investigate the relationship between autophagy and drug resistance of BCSCs in hypoxic conditions. <bold id="strong-2">Methods</bold>: BCSCs were isolated from Vietnamese breast cancer cell line 1 (VNBRCA1) based on expression of CD44 and CD24. Cobalt (II) chloride (CoCl<sub id="subscript-1">2</sub>) was used to simulate a hypoxic environment in monolayer cell cultures. The hypoxic status of BCSCs was confirmed by the upregulation of the <italic id="emphasis-1">HIF-1α</italic> gene. Autophagy activation was assessed through the expression of autophagy-related genes (<italic id="emphasis-2">LC3B, Beclin-1, AMPK, PI3K, AKT</italic>). Drug resistance was evaluated by measuring the expression of <italic id="emphasis-3">ABCC10</italic> and assessing cell proliferation under cisplatin treatment. <bold id="strong-3">Results</bold>: The study revealed that CoCl<sub id="subscript-2">2</sub> treatment led to high expression of <italic id="emphasis-4">HIF-1α</italic> and significant upregulation of <italic id="emphasis-5">LC3B</italic> in BCSCs, together with enhanced expression of <italic id="emphasis-6">ABCC10</italic>. Consequently, BCSCs exhibited marked resistance to cisplatin in the hypoxic environment. However, inhibition of autophagy using the autophagy inhibitor 3-methyladenine (3-MA) did not reduce cisplatin resistance in hypoxic conditions. <bold id="strong-4">Conclusion</bold>: The findings indicate that in hypoxic conditions, BCSCs enhance both the autophagy process and drug resistance. However, the drug resistance of BCSCs in hypoxic conditions is not directly associated with the upregulation of autophagy. Therefore, targeting autophagy inhibition may not be an effective strategy to reduce drug resistance in hypoxia. </p>
      </abstract>
      <kwd-group id="kwd-group-1">
        <title>Keywords</title>
        <kwd>breast cancer stem-like cells</kwd>
        <kwd>hypoxia</kwd>
        <kwd>autophagy</kwd>
        <kwd>drug resistance</kwd>
        <kwd>cobalt chloride</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec>
      <title id="t-627ad3dfb571">Introduction</title>
      <p id="p-ab6e2aa35caf">According to the 2022 GLOBOCAN statistics, breast cancer is the second most common cancer, making up 11.5% of the 19,976,499 new cases, and ranks fourth in cancer-related deaths, accounting for 6.8% of the 9,743,832 fatalities globally. Furthermore, this data indicates that in Viet Nam, breast cancer represented the highest proportion of new cancer diagnoses in 2022, with the majority of patients being women. Primary prevention measures like reducing excess body weight, lowering alcohol consumption, increasing physical activity, and promoting breastfeeding can help reduce breast cancer incidence. In 2021, WHO launched the Global Breast Cancer Initiative to reduce mortality by 2.5% annually, aiming to save 2.5 million lives in 20 years through health promotion, timely diagnosis, and comprehensive management<bold id="s-1c3762736e11"><xref id="x-082c64105805" rid="R252230832131048" ref-type="bibr">1</xref></bold>.</p>
      <p id="p-0d0d79e27047">Cancer stem cells (CSCs) play an important role in contributing to the heterogeneity of many kinds of cancer<bold id="s-d18a4c950399"><xref id="x-826730b36cb6" rid="R252230832131049" ref-type="bibr">2</xref></bold>. About 20 years ago, Al-Hajj <italic id="e-88d10aac5009">et al</italic>. determined that a small breast cancer cell population strongly expressed CD44 and weakly expressed CD24, which was able to develop tumors in NOD/SCID mouse models<bold id="s-481af86274a9"><xref id="x-5b66c5bbca71" rid="R252230832131050" ref-type="bibr">3</xref></bold>. Later, ALDH1 was also detected as a novel marker for breast cancer stem cell isolation, which is correlated with poor clinical outcomes in breast cancer patients<bold id="s-3f846ef10f07"><xref id="x-a4d68ae1c193" rid="R252230832131051" ref-type="bibr">4</xref></bold>. Breast cancer stem cells are significant due to their role in metastasis and therapy resistance. Efforts are focused on characterizing them, understanding their pathways, and developing targeted therapies to eradicate them. New therapeutic approaches, including drug delivery, gene targeting, and immunotherapy, hold promise for effectively targeting breast cancer stem cells in cancer treatment<bold id="s-2e7c310a7215"><xref id="x-64692e89f13f" rid="R252230832131052" ref-type="bibr">5</xref></bold>.</p>
      <p id="p-42fcfc29823f">Cancer stem cells are usually located at the core of solid tumors, distant from the blood vessels, creating a hypoxic microenvironment (hypoxia). In comparison, while the level of oxygen pressure in normal tissue reaches over 40 mmHg, concentration in cancer tumors is frequently maintained between 0 and 20 mmHg. Transcription factors, which are responsible for adapting to hypoxic conditions, are known as hypoxia-induced factors (HIFs)<bold id="s-32e6553069d8"><xref id="x-0023c1abf0d6" rid="R252230832131053" ref-type="bibr">6</xref></bold>. We have reviewed the important effects of hypoxia as well as the roles of HIFs during tumor progression<bold id="s-7fac785d04aa"><xref id="x-21cbef52f1ea" rid="R252230832131054" ref-type="bibr">7</xref></bold>. Particularly, <italic id="e-6873ad73596e">HIF-1α</italic> and <italic id="e-918748bc733b">HIF-2α</italic> regulate cancer stem cells' adaptation to hypoxia and resistance to therapies<bold id="s-84fce8652028"><xref id="x-612fe2105e40" rid="R252230832131055" ref-type="bibr">8</xref></bold>.</p>
      <p id="p-3c85b74e3eb1">The term “autophagy” comes from a Greek word meaning “eating itself” and was first introduced in 1963 by a Belgian physiologist Christian de Duve. Mechanisms related to this biological process were studied and published by Yoshinori Ohsumi and his colleagues from the 1960s to the 1990s<bold id="s-d535e37cad2e"><xref rid="R252230832131056" ref-type="bibr">9</xref>, <xref rid="R252230832131057" ref-type="bibr">10</xref></bold>. This multi-step process includes autophagy induction, recognition, autophagosome formation, fusion with lysosome, and autophagolysosome destruction<bold id="s-e25d2deab9e2"><xref id="x-23a808b0ca44" rid="R252230832131058" ref-type="bibr">11</xref></bold>. Each step involves the regulation of many genes called autophagy-related genes (ATGs). At least 40 ATGs have been discovered and 20 of them play key roles in the autophagy of eukaryotic cells<bold id="s-8e3ece14f637"><xref id="x-fc2baaa3c4f0" rid="R252230832131059" ref-type="bibr">12</xref></bold>. In cancer cells, autophagy acts not only as a "friend" since it stimulates cancer cells to proliferate, but also as a "foe" due to its inhibitory impacts on cancer cell survival<bold id="s-2c4beddf74a4"><xref id="x-a41db157a835" rid="R252230832131060" ref-type="bibr">13</xref></bold>. In the case of tumor suppression, autophagy protects cancer cells by preventing the accumulation of DNA-damaging reactive oxygen species (ROS) and by removing damaged proteins and organelles to maintain homeostasis<bold id="s-3d2e2ff73a64"><xref rid="R252230832131061" ref-type="bibr">14</xref>, <xref rid="R252230832131062" ref-type="bibr">15</xref></bold>. Conversely, autophagy activation also aids tumor cell survival by regulating various mediators<bold id="s-fdd6e8a52bf8"><xref rid="R252230832131063" ref-type="bibr">16</xref>, <xref rid="R252230832131064" ref-type="bibr">17</xref></bold>. Overall, the process of autophagy in cancer cells is highly complex and not yet fully understood.</p>
      <p id="p-748e9ab1f6bd">Hypoxia has been shown to induce autophagy in some types of cancer stem cells<bold id="s-c9f83ca1361e"><xref rid="R252230832131065" ref-type="bibr">18</xref>, <xref rid="R252230832131066" ref-type="bibr">19</xref></bold>, which has led to studies on signaling pathways related to autophagy in hypoxic cancer stem cells. In this study, we use cobalt (II) chloride (CoCl<sub id="s-b59eeef2fef1">2</sub>) to mimic hypoxic conditions in breast cancer stem-like cell populations to investigate changes in the expression of genes related to autophagy induction and regulation. Additionally, we examine changes in drug resistance gene expression <italic id="e-9ae3e9353650">ABCC10</italic> and cisplatin resistance in breast cancer stem-like cells in a hypoxia-mimic model. Based on these results, we draw preliminary conclusions about the molecular relationship between autophagy and drug resistance in hypoxic breast cancer stem-like cells.</p>
    </sec>
    <sec>
      <title id="t-33a27a998c3d">Methods</title>
      <sec>
        <title id="t-8acf8c3af9b8">
          <bold id="s-d660cdde45c0">Cell Culture</bold>
        </title>
        <p id="p-1660db598d97">VNBRCA1 stands for the Vietnamese breast cancer cell line no. 1, which was isolated and characterized from Vietnamese breast cancer patients and was described and used by our laboratory in previous studies<bold id="s-36cde9c9d30a"><xref id="x-37bebb48d617" rid="R252230832131067" ref-type="bibr">20</xref></bold>. Cancer cells were cultured in DMEM (Lonza, Switzerland) supplemented with 10% FBS (Thermo Fisher Scientific, USA) and 1% antimycotic-antibiotic (HyClone, USA) for enrichment in a T-25 flask (SPL Life Science, Korea Republic). All flasks were incubated at 37°C and 5% CO<sub id="s-94a5d90f2c32">2</sub>, and the medium was freshly changed after 48 to 72 hours. After reaching 80-90% confluency, cells were harvested by Deattachment reagent (Regenmedlab, Viet Nam) to perform subculture.</p>
      </sec>
      <sec>
        <title id="t-6af50eb45018"> <bold id="s-6b728e7b0be7">Flow cytometry assay for CD44<sup id="superscript-1">high</sup>CD24<sup id="superscript-2">low </sup> population</bold></title>
        <p id="p-670954542be0">Cells were harvested by Deattachment reagent as described above. Approximately 1×10<sup id="superscript-3">7</sup> VNBRCA1 cells were stained with 10 µL of anti-CD44 (BD Biosciences, USA) and 10 µL of anti-CD24 (Sigma-Aldrich, USA) in phosphate-buffered saline (supplemented with 2% BSA) at 4°C in the dark for 20 minutes. Then, all cells were sorted based on fluorescent-bound antigen signals using the BD FACSMelody Cell Sorter (BD Biosciences, USA). The cell population that is strongly positive for CD44 and negatively or dimly expressed CD24 is considered breast cancer stem cells (BCSCs). They are marked as BCSCs hereafter in this article. BCSCs were cultured in M171 medium (Thermo Fisher Scientific, USA) supplemented with 1% MEGS (Thermo Fisher Scientific, USA) at 37°C and 5% CO<sub id="s-016ca7d305d7">2</sub>.</p>
      </sec>
      <sec>
        <title id="t-8a60966f27be">
          <bold id="s-7aba9e0e4bdd">Cobalt (II) Chloride Cytotoxicity Assay</bold>
        </title>
        <p id="p-ca15af3ba2f8">Cytotoxicity was determined using the AlamarBlue assay<bold id="s-b0814591afeb"><xref id="x-79002143cbe2" rid="R252230832131068" ref-type="bibr">21</xref></bold>. BCSCs were seeded at a density of 3,000 cells per well in a 96-well plate (SPL Life Science, Korea Republic). Each well was filled with 100 µL of M171. After 24 hours of incubation, the medium was withdrawn and replaced with new medium containing CoCl₂ at different concentrations. Medium without CoCl₂ was used as a negative control. The percentage of cell viability was calculated based on the following formula:<bold id="s-9e2571eaf60c"/></p>
        <p id="p-ae4466a2c07f"/>
        <disp-formula-group id="dfg-25b1deaa4549"> <disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mi>R</mml:mi><mml:mi>a</mml:mi><mml:mi>t</mml:mi><mml:mi>e</mml:mi><mml:mo> </mml:mo><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mo> </mml:mo><mml:mi>v</mml:mi><mml:mi>i</mml:mi><mml:mi>a</mml:mi><mml:mi>b</mml:mi><mml:mi>l</mml:mi><mml:mi>e</mml:mi><mml:mo> </mml:mo><mml:mi>c</mml:mi><mml:mi>e</mml:mi><mml:mi>l</mml:mi><mml:mi>l</mml:mi><mml:mi>s</mml:mi><mml:mo> </mml:mo><mml:mo>(</mml:mo><mml:mo>%</mml:mo><mml:mo>)</mml:mo><mml:mo>=</mml:mo></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mfrac><mml:mrow><mml:mi>O</mml:mi><mml:mi>D</mml:mi><mml:mo> </mml:mo><mml:mi>v</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mi>u</mml:mi><mml:mi>e</mml:mi><mml:mo> </mml:mo><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mo> </mml:mo><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>t</mml:mi><mml:mi>e</mml:mi><mml:mi>d</mml:mi><mml:mo> </mml:mo><mml:mi>g</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>u</mml:mi><mml:mi>p</mml:mi><mml:mo>-</mml:mo><mml:mo> </mml:mo><mml:mi>O</mml:mi><mml:mi>D</mml:mi><mml:mo> </mml:mo><mml:mi>v</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mi>u</mml:mi><mml:mi>e</mml:mi><mml:mo> </mml:mo><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mo> </mml:mo><mml:mi>b</mml:mi><mml:mi>l</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi><mml:mi>k</mml:mi></mml:mrow><mml:mrow><mml:mi>O</mml:mi><mml:mi>D</mml:mi><mml:mo> </mml:mo><mml:mi>v</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mi>u</mml:mi><mml:mi>e</mml:mi><mml:mo> </mml:mo><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mo> </mml:mo><mml:mi>u</mml:mi><mml:mi>n</mml:mi><mml:mi>t</mml:mi><mml:mi>r</mml:mi><mml:mi>e</mml:mi><mml:mi>a</mml:mi><mml:mi>t</mml:mi><mml:mi>e</mml:mi><mml:mi>d</mml:mi><mml:mo> </mml:mo><mml:mi>g</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>u</mml:mi><mml:mi>p</mml:mi><mml:mo>-</mml:mo><mml:mo> </mml:mo><mml:mi>O</mml:mi><mml:mi>D</mml:mi><mml:mo> </mml:mo><mml:mi>v</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mi>u</mml:mi><mml:mi>e</mml:mi><mml:mo> </mml:mo><mml:mi>o</mml:mi><mml:mi>f</mml:mi><mml:mo> </mml:mo><mml:mi>b</mml:mi><mml:mi>l</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:mfrac><mml:mi>x</mml:mi><mml:mo> </mml:mo><mml:mn>100</mml:mn><mml:mo>%</mml:mo></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></disp-formula-group>
        <p id="p-b99328222738"/>
      </sec>
      <sec>
        <title id="t-1b2b716877b9">
          <bold id="s-ff5f412de950">Cisplatin Cytotoxicity Assay</bold>
        </title>
        <p id="p-ba05f037f358">Breast cancer stem-like cells were seeded at a density of 3,000 cells per well in a 96-well plate. They were then pretreated with different concentrations of CoCl₂ for various periods of time. Subsequently, the M171 medium was withdrawn and replaced with new medium containing cisplatin (Sigma-Aldrich, USA) at concentrations of 50, 100, 150, 200, and 250 µM, respectively. BCSCs were incubated at 37°C for the next 24 hours, and cell viability was assessed via the AlamarBlue assay as described above.</p>
      </sec>
      <sec>
        <title id="t-4560b2ba0734">
          <bold id="s-fff0eab6564c">Gene Expression Analysis</bold>
        </title>
        <p id="p-a760176a1160">RNA isolation was performed using the easy-BLUE<sup id="s-218658aea892">TM</sup> Total RNA Extraction Kit (iNtRON Biotechnology, South Korea). The expression levels of target genes were determined by real-time quantitative RT-PCR (reverse transcriptase polymerase chain reaction) with specific primers (listed in <bold id="s-9cafa8876007"><xref id="x-2ba3e26cbba3" rid="tw-0372aed65985" ref-type="table">Table 1</xref></bold>). All primers were purchased from PHUSA Biochem Co., Viet Nam. RNA samples were divided into qPCR tubes (Thermo Fisher Scientific, USA) with appropriate amounts and supplemented with the necessary components for a standard PCR reaction, following the instructions in the Luna Universal One-Step RT-qPCR Kit (New England Biolabs, USA). Thermal cycling was performed using the Replex system (Eppendorf, USA). Gene expression levels were semi-quantitated using the Livak formula, with <italic id="e-90f688e0467d">β-actin</italic> used for normalization.</p>
        <p id="p-1bb8a44be78a"/>
        <table-wrap id="tw-0372aed65985" orientation="portrait">
          <label>Table 1</label>
          <caption id="c-93a600e77101">
            <title id="t-0e74da3a60c3">
              <bold id="s-a906c3225f52">Sequences of primer pairs used for qRT-PCR</bold>
            </title>
          </caption>
          <table id="table-1" rules="rows">
            <colgroup>
              <col width="23.060000000000002"/>
              <col width="59.96"/>
              <col width="16.98"/>
            </colgroup>
            <tbody id="table-section-1">
              <tr id="table-row-1">
                <td id="table-cell-1" align="left">
                  <p>
                    <bold>
                      <p id="p-6b39a764e6af">Genes</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-2" align="left">
                  <p>
                    <bold>
                      <p id="p-16e60fca3301">Primer sequence (5'-3')</p>
                    </bold>
                  </p>
                </td>
                <td id="table-cell-3" align="left">
                  <p>
                    <bold>
                      <p id="p-2777745349b7">Referrence</p>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="table-row-2">
                <td id="table-cell-4" align="left">
                  <p>
                    <italic>
                      <p id="p-722a69e2a056"> <inline-formula id="if-bf3f0331bdcf"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math></inline-formula>-actin F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-5" align="left">
                  <p id="p-c16875567fee">CTGGAACGGTGAAGGTGACA</p>
                </td>
                <td id="table-cell-6" rowspan="2" align="center">
                  <p id="p-3ab31206880e"><bold id="s-c5485c7ba99a"><xref id="x-8ed6b8f92774" rid="R252230832131069" ref-type="bibr">22</xref></bold> </p>
                </td>
              </tr>
              <tr id="tr-bbf888395185">
                <td id="tc-a9edce0ec828" align="left">
                  <p>
                    <italic>
                      <p id="p-3649b0252e33"> <inline-formula id="if-ff6cbb90d4ab"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math></inline-formula>-actin R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-f2ebf38f764b" align="left">
                  <p id="p-98ba6b57bbba">AAGGGACTTCCTGTAACAATGCA </p>
                </td>
              </tr>
              <tr id="table-row-3">
                <td id="table-cell-7" align="left">
                  <p>
                    <italic>
                      <p id="p-31bf5f42d23b">HIF-1<inline-formula id="if-46faee444fe9"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>α</mml:mi></mml:math></inline-formula> F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-8" align="left">
                  <p id="p-0ae0af8e854c">TGGTGACATGATTTACATTTCTGA </p>
                </td>
                <td id="table-cell-9" rowspan="2" align="center">
                  <p id="paragraph-12">
                    <bold id="s-5c6206e6ed17">
                      <xref id="x-ceb38bfd2e25" rid="R252230832131070" ref-type="bibr">23</xref>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="tr-1e49716f3c53">
                <td id="tc-cdfdc0b8d5d2" align="left">
                  <p>
                    <italic>
                      <p id="p-1f071766a5d1">HIF-1<inline-formula id="if-574821e244c2"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>α</mml:mi></mml:math></inline-formula> R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-db75afd604eb" align="left">
                  <p id="p-e54e6aeb4683">AAGGCCATTTCTGTGTGTAAGC </p>
                </td>
              </tr>
              <tr id="table-row-4">
                <td id="table-cell-10" align="left">
                  <p>
                    <italic>
                      <p id="paragraph-13">LC3B F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-11" align="left">
                  <p id="paragraph-14">TGTCCGACTTATTCGAGAGCAGCA </p>
                </td>
                <td id="table-cell-12" rowspan="2" align="center">
                  <p id="paragraph-16"><bold id="s-cf8a0dde4ba0"><xref id="x-82e599a85d98" rid="R252230832131071" ref-type="bibr">24</xref></bold> </p>
                </td>
              </tr>
              <tr id="tr-3eb796a8b287">
                <td id="tc-6a3992e82d37" align="left">
                  <p>
                    <italic>
                      <p id="p-7a2cb26106ba">LC3B R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-488c7e4a229e" align="left">
                  <p id="p-544da60a61ff">TTCACCAACAGGAAGAAGGCCTGA </p>
                </td>
              </tr>
              <tr id="table-row-5">
                <td id="table-cell-13" align="left">
                  <p>
                    <italic>
                      <p id="paragraph-17">Beclin-1 F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-14" align="left">
                  <p id="paragraph-18">ATGCAGGTGAGCTTCGTGTG </p>
                </td>
                <td id="table-cell-15" rowspan="2" align="center">
                  <p id="paragraph-20"><bold id="s-3e2a692768c7"><xref id="x-9b265d36b879" rid="R252230832131072" ref-type="bibr">25</xref></bold> </p>
                </td>
              </tr>
              <tr id="tr-78d3abcd8f38">
                <td id="tc-aec329ce90af" align="left">
                  <p>
                    <italic>
                      <p id="p-5cfbd5179196">Beclin-1 R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-5ea60aec3b46" align="left">
                  <p id="p-5bb96af3e044">CTGGGCTGTGGTAAGTAATGGA </p>
                </td>
              </tr>
              <tr id="table-row-6">
                <td id="table-cell-16" align="left">
                  <p>
                    <italic>
                      <p id="paragraph-21">ABCC10 F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-17" align="left">
                  <p id="paragraph-22">CGGGTTAAGCTTGTGACAGAGC </p>
                </td>
                <td id="table-cell-18" rowspan="2" align="center">
                  <p id="paragraph-24">
                    <bold id="s-331258b1e660">
                      <xref id="x-db7f70875c7c" rid="R252230832131073" ref-type="bibr">26</xref>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="tr-2404e0c36f63">
                <td id="tc-04166eb85dea" align="left">
                  <p>
                    <italic>
                      <p id="p-f18ab5c12316">ABCC10 R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-4f799864fd21" align="left">
                  <p id="p-e8c0bbebe61a">AACACCTTGGTGGCAGTGAGCT </p>
                </td>
              </tr>
              <tr id="table-row-7">
                <td id="table-cell-19" align="left">
                  <p>
                    <italic>
                      <p id="paragraph-25">AMPK F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-20" align="left">
                  <p id="paragraph-26">CAGGCATATGGTGGTCCATAGAG </p>
                </td>
                <td id="table-cell-21" rowspan="2" align="center">
                  <p id="paragraph-28">
                    <bold id="s-1a5fe4c8e17a">
                      <xref id="x-8f022cbc37f5" rid="R252230832131074" ref-type="bibr">27</xref>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="tr-24322227d606">
                <td id="tc-102077bcd567" align="left">
                  <p>
                    <italic>
                      <p id="p-5c7f0181e77e">AMPK R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-3f4269ab5b66" align="left">
                  <p id="p-24f027315277">TCATGGGATCCACCTGCAGC </p>
                </td>
              </tr>
              <tr id="table-row-8">
                <td id="table-cell-22" align="left">
                  <p>
                    <italic>
                      <p id="paragraph-29">PI3K F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-23" align="left">
                  <p id="paragraph-30">TGTGTGGGACTTATTGAGGTG </p>
                </td>
                <td id="table-cell-24" align="center">
                  <p id="paragraph-32">
                    <bold id="s-6f391499b7ad">
                      <xref id="x-4d734fbc618f" rid="R252230832131075" ref-type="bibr">28</xref>
                    </bold>
                  </p>
                </td>
              </tr>
              <tr id="tr-62dd33967405">
                <td id="tc-8f94ff1146b1" align="left">
                  <p>
                    <italic>
                      <p id="p-944a9154087e">PI3K R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-13e9b2919199" align="left">
                  <p id="p-ddd0a431a4e2">ACACAGTATCCAGCACATGAAC </p>
                </td>
                <td id="tc-bb18e1e85b1a" align="center">
                  <p id="p-fbc61b70d7cb"/>
                </td>
              </tr>
              <tr id="table-row-9">
                <td id="table-cell-25" align="left">
                  <p>
                    <italic>
                      <p id="paragraph-33">AKT F</p>
                    </italic>
                  </p>
                </td>
                <td id="table-cell-26" align="left">
                  <p id="paragraph-34">TCTATGGCGCTGAGATTGTG</p>
                </td>
                <td id="table-cell-27" rowspan="2" align="center">
                  <p id="paragraph-36"><bold id="s-0f54588976ce"><xref id="x-7e472bdd779d" rid="R252230832131076" ref-type="bibr">29</xref></bold> </p>
                </td>
              </tr>
              <tr id="tr-5249c548192e">
                <td id="tc-ff76b98870c1" align="left">
                  <p>
                    <italic>
                      <p id="p-a0e71b59e6ca">AKT R</p>
                    </italic>
                  </p>
                </td>
                <td id="tc-60aae7fcea92" align="left">
                  <p id="p-ed504b11ac52">CTTAATGTGCCCGTCCTTGT </p>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn-group>
              <fn id="f-35a6f9f86f25">
                <p id="p-a250fb2fbc3e"><bold id="s-4dbde1205122">Abbreviations</bold>: <bold id="s-afd60567e474">F</bold>: Forward, <bold id="s-1f2e42695259">R</bold>: Reverse</p>
              </fn>
            </fn-group>
          </table-wrap-foot>
        </table-wrap>
        <p id="paragraph-37"> </p>
      </sec>
      <sec>
        <title id="t-17433a5826c3">
          <bold id="s-26746ee1b681">Statistical Analysis</bold>
        </title>
        <p id="p-24df2e032f6a">All assays were performed in triplicate. Raw data were collected using Microsoft Excel 365 and analyzed with GraphPad Prism 9.0 software. All data are displayed as mean ± standard error of the mean (SEM). Differences between treatments were examined using the one-way ANOVA method, with a p-value &lt; 0.05 considered statistically significant.</p>
        <p id="p-03db50449a39"/>
        <p id="p-c973179e77b5"/>
        <fig id="f-c007414c041d" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 1 </label>
          <caption id="c-838e980e140d">
            <title id="t-0f51ea8f7cb1"><bold id="s-9de4c110a637">Model of hypoxic BCSCs using CoCl<sub id="s-b4d048988d81">2</sub></bold>. The expression of CD24, CD44, and ALDH1 gene on breast cancer stem-like cell populations. (<bold id="s-49bd728064c4">A</bold>) Flow cytometry is applied to evaluate expression of marker CD44 and CD24 on the surface of breast cancer stem-like cell populations. (<bold id="s-cd9d732ad855">B</bold>) The expression of <italic id="e-6f108a32cdc2">ALDH1</italic> gene in both group VNBRCA1 and BSCS were semiquantitavely analyzed by Livak method (normalized by <inline-formula id="if-2a21ce2e4384"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>β</mml:mi></mml:math></inline-formula>-<italic id="e-77be305c2cac">actin</italic>). Cytotoxicity effects of cobalt (II) chloride (CoCl<sub id="s-f4cbb7e2b7cd">2</sub>) on survival rate of BCSCs accessed via AlamarBlue method (compared to negative control). Under the presence of (<bold id="s-660a25d3a6c0">C</bold>) high concentrations of CoCl<sub id="s-1419b89641cf">2</sub> for a long period of time, the survival rate of BCSCs tends to decrease sharply, while in BCSCs treated with (<bold id="s-294635471a29">D</bold>) lower concentrations of CoCl<sub id="s-9d0c35cf6ad2">2</sub> for a short period of time, their survival rate is slightly reduced (*p-value &lt; 0.05; **p-value &lt; 0.01; ****p-value &lt; 0.0001). (<bold id="s-1cc94d739f2f">E</bold>) The expression of <italic id="e-44648159d3b2">HIF-1</italic><inline-formula id="if-8a01cd08d3fb"> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>α</mml:mi></mml:math></inline-formula> increases in a CoCl<sub id="s-d4e41d284b92">2</sub> concentration-dependent manner (compared to BCSCs not treated with CoCl<sub id="s-6d4f72ac5da1">2</sub>, ***p-value &lt; 0.001).</title>
            <p id="p-033a4ba9d2a1"><bold id="s-f91a15ee60b8">Abbreviations</bold>: <bold id="s-99cea225785e">BCSCs</bold>: Breast cancer stem cells, VNBCRA1: Vietnamese breast cancer cell line No. 1</p>
          </caption>
          <graphic id="g-23830b271235" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/61011413-e88a-48f9-8dc8-13458deef06e/image/4884dad5-1326-4716-9c82-6f48d58659b9-upicture1.png"/>
        </fig>
        <p id="p-64ec7c6eb4f1"/>
        <p id="p-abc02aae0853"/>
        <fig id="f-b08b790cb80f" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 2 </label>
          <caption id="c-58e4fd6d25a0">
            <title id="t-9e72fe264d91"><bold id="s-f5c2dd941c6e">Expressions of autophagy-related genes are changed upon CoCl<sub id="s-76b96d496a03">2</sub> treatment</bold> (compared to BCSCs not treated with CoCl<sub id="s-91df3a42653a">2</sub>). Hypoxic condition induces increased expression of gene involved in (<bold id="s-909141886b05">A</bold>) autophagy induction such as<italic id="e-76b61a05e65a"> LC3B, Beclin-1</italic> and (<bold id="s-3f520902c83d">B</bold>) autophagy regulation such as A<italic id="e-b3a23adadc82">MPK, PI3K, AKT</italic>. Specifically, certain concentrations of CoCl<sub id="s-215717d99c28">2</sub> cause a significant increase in the expression of the aforementioned genes. </title>
            <p id="p-89af9e36b813"><bold id="s-58fed0b21298">Abbreviations</bold>: <bold id="s-5af9e560e563">3-MA</bold>: 3-Methyladenine, <bold id="s-27f5718bef6a">BCSCs</bold>: Breast cancer stem cells, *p-value &lt; 0.05</p>
          </caption>
          <graphic id="g-9d5ff42167cf" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/61011413-e88a-48f9-8dc8-13458deef06e/image/3af9310f-51fe-43e7-abb4-de00c47418ed-upicture2.png"/>
        </fig>
        <p id="p-96df04af5d5a"/>
        <p id="p-566dd337622d"/>
        <fig id="f-7f9f4722dd74" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 3 </label>
          <caption id="c-d5ef58ba1c8f">
            <title id="p-ebf5c80b9f56"><bold id="s-a6ae8bb5f6d2">Evaluation of cisplatin resistance in hypoxic BCSCs</bold>. (<bold id="s-a464af31a96e">A</bold>) The viability rate of BCSCs decreases as the concentration of cisplatin increases, ranging from 0 to 250 μM. The AlamarBlue assay determines the IC<sub id="s-58842be53e70">50</sub> value of cisplatin for BCSCs to be approximately 60 μM. (<bold id="s-ad3c43d00b0e">B</bold>) Pretreatment with CoCl<sub id="s-942023057c7c">2</sub> enhances the resistance of breast cancer stem-like cells to the cytotoxic effects of cisplatin, regardless of pretreatment with the autophagy inhibitor 3-MA, compared to the negative control.</title>
            <p id="p-25fc87ec35ba"><bold id="s-a27856c17549">Abbreviations</bold>: <bold id="s-9934bb5f383a">3-MA</bold>: 3-Methyladenine, <bold id="s-b5f3c44a71ab">BCSCs</bold>: Breast cancer stem cells, *p-value &lt; 0.05</p>
          </caption>
          <graphic id="g-bad90801f006" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/61011413-e88a-48f9-8dc8-13458deef06e/image/baebd803-b0be-4bbc-b3ab-f6a6f8f0f218-uscreenshot-2024-11-11-152747.png"/>
        </fig>
        <p id="p-47b545070c5c"/>
        <p id="p-f738617fb871"/>
      </sec>
    </sec>
    <sec>
      <title id="t-8d1831e8ff69">Results</title>
      <sec>
        <title id="t-2e48eef28eda">Establishing model of hypoxic BCSCs using CoCl<sub id="s-c610c7656e88">2</sub> </title>
        <p id="p-78264452aa9a">After sorting, the BCSC population predominantly exhibits a CD44<sup id="s-38a54103e3bd">high</sup>CD24<sup id="s-e28e2c13a046">low</sup> phenotype (over 96%) and shows an approximately 1.5-fold increase in ALDH1 gene expression compared to the pre-sorting population (<bold id="s-1f665494d4f9"><xref id="x-4880d61ca0f5" rid="f-c007414c041d" ref-type="fig">Figure 1</xref>A</bold>). However, this increase in ALDH1 expression is not statistically significant (p-value = 0.20) (<bold id="s-a5c2952ac452"><xref id="x-91092d9d5481" rid="f-c007414c041d" ref-type="fig">Figure 1</xref>B</bold>). This population was used for further analysis.</p>
        <p id="p-a0dcbc1bf703">In the first assay to evaluate the cytotoxicity of CoCl<sub id="s-b6c904370d05">2</sub>, CoCl<sub id="s-09c69499142c">2</sub> displayed high toxicity in BCSCs when used in high concentrations. Indeed, when compared to cells not treated with CoCl<sub id="s-5b94bf8ec482">2</sub>, the survival rate of BCSCs markedly decreases in a concentration- and time-dependent manner when exposed to CoCl<sub id="s-af482782f3b8">2</sub> concentrations ranging from 100 to 800 μM for 24 to 72 hours (<bold id="s-eb69d54b727f"><xref id="x-4b1d37b7893b" rid="f-c007414c041d" ref-type="fig">Figure 1</xref>C</bold>). In contrast, BCSCs exposed to CoCl<sub id="s-b235987804bc">2</sub> concentrations below 100 μM for 24 hours show a generally reduced survival rate, but it is not significantly different from the negative control (<bold id="s-2de834951e8f"><xref id="x-adc6b807630f" rid="f-c007414c041d" ref-type="fig">Figure 1</xref>D</bold>).</p>
        <p id="p-f0fa804fd874">At low concentrations of CoCl<sub id="s-51cf4ebb7beb">2</sub> (25 to 100 μM), BCSCs demonstrated a significant rise in <italic id="e-d4d89a910a7c">HIF-1α</italic> gene expression. Notably, exposure to 100 μM CoCl<sub id="s-d65b24871e7f">2</sub> results in the most significant increase, with a 4.54-fold elevation in <italic id="e-675977a27c60">HIF-1α</italic> gene expression compared to cells not treated with CoCl<sub id="s-c9576aff0b5e">2</sub> (<bold id="s-8b63aaacdf96"><xref id="x-eda92c96db52" rid="f-c007414c041d" ref-type="fig">Figure 1</xref>E</bold>).</p>
      </sec>
      <sec>
        <title id="t-41371782fe2b">Autophagy is stimulated under hypoxic condition </title>
        <p id="p-0023440c8940">The hypoxic environment caused by adding CoCl<sub id="s-ef490ba2bcc5">2</sub> strongly induced autophagy in BCSCs. In fact, in the presence of CoCl<sub id="s-2c4f6f9a898a">2</sub>, <italic id="e-8f0662c05723">LC3B</italic>, a central marker of autophagy induction, exhibits increased gene expression in a concentration-dependent manner. As CoCl<sub id="s-7929c75bd96d">2</sub> concentration rises, <italic id="e-d4767f08bf67">LC3B</italic> gene expression increases from a 1.45 to a 4.09-fold change compared to untreated cells. The expression of the <italic id="e-61341b817ac9">Beclin-1</italic> gene, another autophagy marker, also increases at CoCl<sub id="s-5acf0e72cbe1">2</sub> concentrations of 50, 75, and 100 µM (1.49, 2.28, and 1.64-fold change, respectively), but it shows no significant change at 25 µM (p &gt; 0.05). Overall, both genes display increased expression with higher CoCl<sub id="s-ddc3e8be5a57">2</sub> concentrations, although these changes are not statistically significant (p &gt; 0.05) (<bold id="s-6856695c5135"><xref id="x-cdede40f29cf" rid="f-b08b790cb80f" ref-type="fig">Figure 2</xref>A</bold>). In general, genes involved in autophagy regulation exhibit elevated expression levels when exposed to various CoCl<sub id="s-e9cfe1ce5378">2</sub> concentrations (<bold id="s-9b3f56afba24"><xref id="x-6e787e67f0cb" rid="f-b08b790cb80f" ref-type="fig">Figure 2</xref>B</bold>). The AMPK gene shows the greatest expression increase at 50 µM CoCl<sub id="s-25e4c51d76a1">2</sub> (3.14-fold change), while PI3K and AKT genes reach their peak expression at 75 µM CoCl<sub id="s-d32f6dd9cb81">2</sub> (2.69 and 2.14-fold change, respectively). After reaching peak expression, the levels of these genes gradually decline with further increases in CoCl<sub id="s-cb0e1dcfaa66">2</sub> concentration.</p>
      </sec>
      <sec>
        <title id="t-6f21c295134c">
          <bold id="s-047dd744779c">The inhibition of autophagy did not reduce the drug resistance of BCSCs</bold>
        </title>
        <p id="p-677ee231f016">The potential for drug resistance in BCSCs was assessed using a cytotoxicity assay with the anti-tumor drug cisplatin. The drug resistance of hypoxic BCSCs to cisplatin was evaluated either in the presence or absence of the autophagy inhibitor 3-MA in the culture medium. In this assay, BCSCs were first induced to become hypoxic by culturing them in a medium containing CoCl<sub id="s-3f10a9cfbf57">2</sub> (ranging from 25 to 100 μM) for 24 hours. Subsequently, these hypoxic BCSCs were cultured in a fresh medium containing 60 μM cisplatin for the next 24 hours.</p>
        <p id="p-a4aecf9a7b2f">The AlamarBlue assay results indicated that the viability of hypoxic BCSCs increased with the concentration of cobalt (II) chloride, although the increase was not significant. Concurrent treatment with 60 μM cisplatin and 5 mM autophagy inhibitor 3-MA also enhanced the viability of the BCSCs population in relation to the concentration of CoCl<sub id="s-5639559bc5ee">2</sub>.</p>
        <p id="p-7f3ee71e157f">The results showed that, whether treated with or without 3-MA, the cell viability of BCSCs remained similar and peaked at 75 μM CoCl<sub id="s-fad203c036e6">2</sub> (<bold id="s-d53aa7fb1e7d"><xref id="x-58600b82a925" rid="f-7f9f4722dd74" ref-type="fig">Figure 3</xref></bold>).</p>
        <p id="p-66850f9b4010"/>
        <fig id="f-d4806c6c1e04" orientation="portrait" fig-type="graphic" position="anchor">
          <label>Figure 4 </label>
          <caption id="c-35cbbf229fee">
            <title id="t-bbf03d759f92"><bold id="s-c85bf0b1a5bc">The expression of the drug resistance gene <italic id="e-5c81fa97615f">ABCC10</italic> increased when breast cancer cell populations were treated with gradually increasing concentrations of CoCl<sub id="s-3f97bf6c1625">2</sub> compared to BCSCs not treated with CoCl<sub id="s-017494f8a43b">2</sub></bold>. *p-value &lt; 0.05</title>
          </caption>
          <graphic id="g-d5890f3e3b39" xlink:href="https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/61011413-e88a-48f9-8dc8-13458deef06e/image/40a78ccd-52a9-4738-b01a-9ed01e3492dc-uimage.png"/>
        </fig>
        <p id="p-317be5106e83"/>
      </sec>
      <sec>
        <title id="t-40afcf6e8cf8">Hypoxia enhanced the expression of <italic id="e-d1fbbf50965a">ABCC10 </italic></title>
        <p id="p-03aad46512eb">Treatment with CoCl<sub id="s-72f40e2d2254">2</sub> results in an upregulation of the drug resistance gene <italic id="e-4b95da9bc2b2">ABCC10</italic>. The most significant increase in expression, observed as a 9.17-fold change, occurs at a concentration of 75 μM CoCl<sub id="s-d96e5f221bfb">2</sub> compared to breast cancer cells not exposed to CoCl<sub id="s-63169a0869d8">2</sub> (see <bold id="s-34076b2b414f"><xref id="x-f4bf827e4516" rid="f-d4806c6c1e04" ref-type="fig">Figure 4</xref></bold>).</p>
      </sec>
    </sec>
    <sec>
      <title id="t-4c83595cfe35">Discussion</title>
      <p id="p-b36825b99fad">The Cluster of Differentiation 44 (CD44) is a complex transmembrane adhesion glycoprotein involved in numerous signaling pathways significant in carcinogenesis and tumor progression<bold id="s-f3b2b32e1c34"><xref id="x-2dac99ac0361" rid="R252230832131077" ref-type="bibr">30</xref></bold>. Meanwhile, Cluster of Differentiation 24 (CD24) serves as a crucial biomarker, indicating poor prognoses like increased invasion, metastasis, and reduced survival in cancer patients<bold id="s-d2e1407b2c39"><xref id="x-8ebad3b11468" rid="R252230832131078" ref-type="bibr">31</xref></bold>. The enzyme Aldehyde dehydrogenase (ALDH1) catalyzes the conversion of intracellular aldehydes to carboxylic acids and is expressed highly in a small subset of breast tumor cells capable of tumor generation in implanted mice<bold id="s-d2d9a84ea51b"><xref id="x-f2546843e911" rid="R252230832131079" ref-type="bibr">32</xref></bold>. Breast cancer cells displaying the CD44<sup id="s-e60055573e23">+</sup>CD24<sup id="s-e68931e31b80">–/low</sup>ALDH1<sup id="s-d41dbeb83ca7">high</sup> phenotype are considered cancer stem cells due to their association with poorer outcomes in breast cancer patients<bold id="s-3fae7c4d7f65"><xref id="x-26043bfff708" rid="R252230832131080" ref-type="bibr">33</xref></bold>. In this study, breast cancer cells isolated from Vietnamese patients were cultured in DMEM with 10% FBS to expand their population. Flow cytometry sorting was then used to purify cells with high CD44 expression and low CD24 expression. As such, CD44<sup id="s-fd1373ad83b0">high</sup>CD24<sup id="s-6b6c6fd8c198">low</sup> breast cancer cells exhibiting elevated ALDH1 and EpCAM can be classified as breast cancer stem-like cells (BCSCs).</p>
      <p id="p-ba38deaf2023">Cobalt (II) chloride (CoCl<sub id="s-de39dc689dc5">2</sub>) has been used previously to modulate HIF expressions in various cancer<bold id="s-6081c17ff063"><xref rid="R252230832131081" ref-type="bibr">34</xref>, <xref rid="R252230832131082" ref-type="bibr">35</xref>, <xref rid="R252230832131083" ref-type="bibr">36</xref></bold> and non-cancer cell lines<bold id="s-de20ace1f9c4"><xref rid="R252230832131084" ref-type="bibr">37</xref>, <xref rid="R252230832131085" ref-type="bibr">38</xref></bold>. Past studies commonly used CoCl<sub id="s-38bb8e7875f9">2</sub> concentrations over 100 μM; however, our research demonstrated that BCSC proliferation was significantly inhibited at concentrations above 100 μM for extended durations (24 to 72 hours). Consequently, we opted for lower concentrations of CoCl<sub id="s-c1d89857b2bf">2</sub>, under 100 μM, administered for shorter times (4 to 24 hours). The AlamarBlue assay revealed reduced BCSC proliferation, with no significant difference compared to cells cultured without CoCl<sub id="s-a322a621fca7">2</sub>. Similarly, a Thai study reported comparable outcomes using CoCl<sub id="s-a3f49ea79af3">2</sub> concentrations of 50 or 100 μM<bold id="s-1ae1210eb72e"><xref id="x-12c666a86a35" rid="R252230832131086" ref-type="bibr">39</xref></bold>. To prevent extensive cell death affecting other evaluations, we employed CoCl<sub id="s-070d59c58e52">2</sub> concentrations ranging from 25 to 100 μM in subsequent experiments.</p>
      <p id="p-7edba7d01197">Autophagy under controlled hypoxia promotes cancer cell survival; however, under severe hypoxic stress, it can lead to cell death<bold id="s-271d6625c22a"><xref id="x-1cc0e1db67f1" rid="R252230832131087" ref-type="bibr">40</xref></bold>. In normoxic conditions, hypoxia-inducing factors (HIFs) are deactivated as prolyl hydroxylase enzymes hydroxylate them using oxygen. In hypoxia, HIFs stabilize and translocate to the nucleus, activating oncogenes<bold id="s-8215645d4754"><xref id="x-25ede7f47836" rid="R252230832131088" ref-type="bibr">41</xref></bold>. Among HIF isoforms, HIF-1α is the most studied due to its mRNA levels increasing with the severity of hypoxia in many cancers<bold id="s-25fb693a3b0f"><xref rid="R252230832131089" ref-type="bibr">42</xref>, <xref rid="R252230832131090" ref-type="bibr">43</xref>, <xref rid="R252230832131091" ref-type="bibr">44</xref></bold>. Thus, HIF-1α can serve as a biomarker for evaluating tumor hypoxia levels. Using RT-qPCR, we found that CD44<sup id="s-0ec9668093ba">high</sup>CD24<sup id="s-3fadf655a4df">low</sup> breast cancer cells exhibited increased HIF-1α expression correlating with rising CoCl<sub id="s-3ca7a7119029">2</sub> concentrations. Various mechanisms involving cobalt ions (Co<sup id="s-c823448eebd8">2+</sup>) enhancing HIF-1α expression have been suggested, generally affecting cofactors, inhibiting PHDs, and stabilizing HIF-1α<bold id="s-8d8233d9db87"><xref id="x-752974353213" rid="R252230832131092" ref-type="bibr">45</xref></bold>. Higher CoCl<sub id="s-5f110ad1c7bc">2</sub> concentrations in experimental models reflect a more pronounced hypoxic state in cancer tumors.</p>
      <p id="p-aeee50304514"><italic id="e-4b3eb128c348">Beclin-1</italic> is essential for signaling pathways activating autophagy and autophagosome formation, requiring interaction with hVsp34, while LC3B, a lipidated form of microtubule-associated protein light-chain 3, is a reliable autophagy marker, increasing in response to stressors<bold id="s-cf8394a874eb"><xref id="x-ec24820f4590" rid="R252230832131093" ref-type="bibr">46</xref></bold>. Our study found that <italic id="e-9bf803edc922">Beclin-1</italic> and <italic id="e-28111452bce1">LC3B</italic> gene expressions increased with rising CoCl<sub id="s-d5dac69123d3">2</sub> concentrations, indicating strong autophagy induction by this agent, similar to results in other cell lines<bold id="s-9de6c6ad668f"><xref id="x-bf02f9511043" rid="R252230832131094" ref-type="bibr">47</xref></bold>. The observed increase in HIF-1α expression suggests a link between autophagy and hypoxic response in BCSCs. According to Chen et al., CoCl<sub id="s-6a0c08239e2a">2</sub> exposure increased HIF-1α and its downstream protein BNIP3, involved in autophagy induction through interaction with <italic id="e-1d16527a959f">Beclin-1</italic> and <italic id="e-f01211c739eb">LC3</italic><bold id="s-81ff0255b412"><xref id="x-bcb18900538a" rid="R252230832131094" ref-type="bibr">47</xref></bold>. The AMPK/PI3K/AKT pathway is implicated in autophagy across mammalian cell lines, typically with AMPK activation and increased expression, while <italic id="e-87eaeb1137f3">PI3K</italic> and <italic id="e-a8c909ed58b0">AKT</italic> expressions decrease under autophagy-inducing agents<bold id="s-f5911db26a38"><xref rid="R252230832131095" ref-type="bibr">48</xref>, <xref rid="R252230832131096" ref-type="bibr">49</xref>, <xref rid="R252230832131097" ref-type="bibr">50</xref></bold>. However, our results showed all three genes increased expression in BCSCs exposed to 25-75 μM CoCl<sub id="s-2a2181a084d2">2</sub>, decreasing at 100 μM. Prior research also indicated mTOR, downstream of PI3K and AKT, plays a key role in autophagy regulation, with reduced PI3K and AKT expressions potentially inhibiting mTOR and initiating autophagy<bold id="s-cfd7358c1bbc"><xref id="x-a9d65ea3f9aa" rid="R252230832131098" ref-type="bibr">51</xref></bold>. AMPK activation relates to numerous autophagy process steps, given its involvement in several autophagy factors<bold id="s-798e2788e83d"><xref id="x-4b57f2403848" rid="R252230832131099" ref-type="bibr">52</xref></bold>. Variances in gene expressions within BCSCs suggest autophagy regulation through alternate signaling pathways, necessitating further investigation into AMPK/PI3K/AKT and autophagy relationships.</p>
      <p id="p-8aa0c0a787f8">Autophagy links to drug resistance in different cancer cell lines. Experiments with cisplatin on CD44<sup id="s-64de5fb6abc1">high</sup>CD24<sup id="s-02d6915e8cc3">low</sup> BCSCs, treated with CoCl<sub id="s-54d57cf7e2a5">2</sub> to simulate hypoxia and stimulate autophagy, showed increased cell survival correlating with CoCl<sub id="s-43bbfca29d2b">2</sub> concentrations. This survival increase aligned with changes in autophagy-related gene expressions and <italic id="e-61c0ac270cd6">ABCC10</italic>, a gene associated with drug resistance in breast cancer stem cells<bold id="s-a8a02af857c4"><xref id="x-69cacc17b438" rid="R252230832131073" ref-type="bibr">26</xref></bold>. We earlier posited that autophagy acts as a "double-edged sword" in drug resistance among cancer stem cells, potentially enhancing sensitivity or decreasing responsiveness to chemotherapy drugs based on the signaling pathway involved<bold id="s-ce2859b9c675"><xref id="x-dd4ca94f81bb" rid="R252230832131100" ref-type="bibr">53</xref></bold>. Thus, targeting autophagy may offer a strategy to combat drug resistance in cancer cells. Numerous studies revealed that inhibiting autophagy through chemicals or genetic alterations enhances apoptosis in chemotherapy-resistant cell lines<bold id="s-48a1b07c4c19"><xref rid="R252230832131101" ref-type="bibr">54</xref>, <xref rid="R252230832131102" ref-type="bibr">55</xref>, <xref rid="R252230832131103" ref-type="bibr">56</xref>, <xref rid="R252230832131104" ref-type="bibr">57</xref></bold>. We hypothesize that autophagy suppression increases sensitivity to cisplatin in CD44<sup id="s-c4af7dd157ae">high</sup>CD24<sup id="s-f7751c00057a">low</sup> BCSCs. Using 5 mM 3-MA, an autophagy inhibitor, we observed significant <italic id="e-6efa101de529">LC3B</italic> expression reduction compared to untreated cells (data not shown). Nevertheless, the response to cisplatin remained unchanged under 3-MA influence, suggesting a weaker linkage between autophagy and cisplatin response in our cell line compared to others. Hence, more specific methods are required to evaluate signaling pathways linking these properties in Vietnamese breast cancer stem-like cells.</p>
    </sec>
    <sec>
      <title id="t-2a04eee57b4d">Conclusions</title>
      <p id="p-b6d46ad79192">BCSCs exhibit increased expression of the <italic id="e-2c81365e8c0c">HIF-1α </italic>gene when exposed to higher concentrations of cobalt (II) chloride (CoCl<sub id="s-580793695613">2</sub>), which also leads to the upregulation of genes involved in the induction (<italic id="e-3df596fb2791">Beclin-1, LC3B</italic>) and regulation (<italic id="e-96401422af23">AMPK, PI3K, AKT</italic>) of autophagy. Under hypoxia-mimicking conditions, BCSCs show increased resistance to cisplatin. However, inhibiting autophagy with the inhibitor 3-MA does not reduce the drug resistance of hypoxic BCSCs. Furthermore, under these conditions, an increase in the expression of the drug resistance gene <italic id="e-448da680b779">ABCC10</italic> is observed in response to CoCl<sub id="s-b0319f03faa6">2</sub> levels. These findings suggest that the drug resistance of BCSCs under hypoxia is related to both autophagy upregulation and ABCC10 expression. Therefore, addressing drug resistance in BCSCs should consider both autophagy and ABCC10 pathways.</p>
    </sec>
    <sec>
      <title id="t-30f705b335fc">Abbreviations</title>
      <p id="p-d1dc31ad807d"><bold id="s-27b489ac0f3f">3-MA</bold>: 3-Methyladenine, <italic id="e-56963a544e1c"><bold id="s-1c011c44c445">ABCC10</bold></italic>: ATP-Binding Cassette Subfamily C Member 10, <bold id="s-2ff71a6db875">AKT</bold>: Protein Kinase B, <bold id="s-43aafba48e43">AMPK</bold>: AMP-Activated Protein Kinase, <bold id="s-d893db9c1150">ANOVA</bold>: Analysis of Variance, <bold id="s-65c277c00dae">BCSC</bold>: Breast Cancer Stem Cell, <bold id="s-a49a4be4e0c9">CoCl<sub id="s-22f249fc852e">2</sub></bold>: Cobalt (II) Chloride, <bold id="s-9a94f51223ed">CSC</bold>: Cancer Stem Cell, <bold id="s-d53619327a23">DMEM</bold>: Dulbecco's Modified Eagle Medium, <bold id="s-8ef65397d5f2">FBS</bold>: Fetal Bovine Serum, <bold id="s-d06c47197da0">HIF</bold>: Hypoxia-Induced Factor, <bold id="s-f92071f3cd73">HIF-1α</bold>: Hypoxia-Induced Factor 1 alpha, <bold id="s-bc1df9aec0b7"><italic id="e-108ed3f83157">LC3B</italic></bold>: Microtubule-Associated Proteins 1A/1B Light Chain 3B, <bold id="s-70f36548403a">mRNA</bold>: Messenger Ribonucleic Acid, <bold id="s-6916ef446667">PI3K</bold>: Phosphoinositide 3-Kinase, <bold id="s-ba3d7d073807">RT-qPCR</bold>: Real-Time Quantitative Polymerase Chain Reaction, <bold id="s-f8f030aa91d2">SEM</bold>: Standard Error of the Mean, <bold id="s-783643b6102f">VNBRCA1</bold>: Vietnamese Breast Cancer Cell Line No. 1</p>
    </sec>
    <sec>
      <title id="t-162cba327ece">Acknowledgments </title>
      <p id="p-9010ec2b01e8">We especially thank Center of Research and Development – Stem Cell Institute for creating favorable conditions for us to carry out this project. </p>
    </sec>
    <sec>
      <title id="t-7b00cc9872f4">Author’s contributions</title>
      <p id="p-09cec3214354">Bui Dinh Khan and Tran Ngo The Nhan equally contributed to developing the research methodology, conducting the experimental work, and collecting the data. Bui Dinh Khan took primary responsibility for data analysis and manuscript content. Pham Van Phuc suggested the layout, discussed the results, revised entire manuscript, and supervised the study. All authors contributed significantly to this work and have read and approved the final version of the manuscript.</p>
    </sec>
    <sec>
      <title id="t-f94b9c3bb344">Funding</title>
      <p id="p-588419e66797">This paper is funded by University of Science, VNU-HCM under grant number T2021-62. </p>
    </sec>
    <sec>
      <title id="t-6a639e546f04">Availability of data and materials</title>
      <p id="p-29f747470c2b">Data and materials used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
    </sec>
    <sec>
      <title id="t-0eb3e4ef6c74">Ethics approval and consent to participate</title>
      <p id="p-7893e04e16f6">Not applicable. </p>
    </sec>
    <sec>
      <title id="t-a012e98a398f">Consent for publication</title>
      <p id="paragraph-19">Not applicable. </p>
    </sec>
    <sec>
      <title id="t-9700f24ab03f">Competing interests</title>
      <p id="p-bbd72de59a4f">The authors declare that they have no competing interests.</p>
    </sec>
  </body>
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