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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1511029</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Discovery of drug transporter inhibitors tied to long noncoding RNA in resistant cancer cells; a computational model -in silico- study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Diab</surname>
<given-names>Mohanad</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Hamdi</surname>
<given-names>Amel</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Al-Obeidat</surname>
<given-names>Feras</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Hafez</surname>
<given-names>Wael</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1513415/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Cherrez-Ojeda</surname>
<given-names>Ivan</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Gador</surname>
<given-names>Muneir</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2672042/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Rashid</surname>
<given-names>Gowhar</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1833821/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Elkhazin</surname>
<given-names>Sana F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3027048/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ibrahim</surname>
<given-names>Mahmad Anwar</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3026826/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ismail</surname>
<given-names>Tarek Farag</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3026420/overview"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Alkafaas</surname>
<given-names>Samar Sami</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Mediclinic Airport Road Hospital</institution>, <addr-line>Abu Dhabi</addr-line>, <country>United Arab Emirates</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Molecular biology and Hematology, Abu Dhabi University</institution>, <addr-line>Abu Dhabi</addr-line>, <country>United Arab Emirates</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>College of Technological Innovation at Zayed University</institution>, <addr-line>Abu Dhabi</addr-line>, <country>United Arab Emirates</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>NMC Royal Hospital</institution>, <addr-line>Abu Dhabi</addr-line>, <country>United Arab Emirates</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Internal Medicine, Medical Research and Clinical Studies Institute, The National Research&#xa0;Center</institution>, <addr-line>Cairo</addr-line>, <country>Egypt</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>School of Health, Universidad Esp&#xed;ritu Santo-Ecuador</institution>, <addr-line>Samborond&#xf3;n, Guayas</addr-line>, <country>Ecuador</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Respiralab Research Group</institution>, <addr-line>Guayaquil, Guayas</addr-line>, <country>Ecuador</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Clinical Biochemistry, Sher-i-Kashmir Institute of Medical Sciences (SKIMS)</institution>, <addr-line>Srinagar</addr-line>, <country>India</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Sheikh Khalifa Hospital</institution>, <addr-line>Al Fujairah</addr-line>, <country>United Arab Emirates</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Molecular Cell Biology Unit, Division of Biochemistry, Department of Chemistry, Faculty of Science, Tanta University</institution>, <addr-line>Tanta</addr-line>, <country>Egypt</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Noha Mousaad Elemam, University of Sharjah, United Arab Emirates</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Hauke Busch, University of L&#xfc;beck, Germany</p>
<p>Priya Mondal, Central Food Technological Research Institute (CSIR), India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Amel Hamdi, <email xlink:href="mailto:amel.hamdi@adu.ac.ae">amel.hamdi@adu.ac.ae</email>; Wael Hafez, <email xlink:href="mailto:Wael.hafez@nmc.ae">Wael.hafez@nmc.ae</email>; Feras Al-Obeidat, <email xlink:href="mailto:feras.al-obeidat@zu.ac.ae">feras.al-obeidat@zu.ac.ae</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1511029</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Diab, Hamdi, Al-Obeidat, Hafez, Cherrez-Ojeda, Gador, Rashid, Elkhazin, Ibrahim, Ismail and Alkafaas</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Diab, Hamdi, Al-Obeidat, Hafez, Cherrez-Ojeda, Gador, Rashid, Elkhazin, Ibrahim, Ismail and Alkafaas</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Chemotherapeutic resistance is a major obstacle to chemotherapeutic failure. Cancer cell resistance involves several mechanisms, including epithelial-to-mesenchymal transition (EMT), signaling pathway bypass, drug efflux activation, and impairment of drug entry. P-glycoproteins (P-gp) are an efflux transporter that pumps chemotherapeutic drugs out of cancer cells, resulting in chemotherapeutic resistance. Several types of long noncoding RNA (lncRNAs) have been identified in resistant cancer cells, including <italic>ODRUL</italic>, <italic>MALAT1</italic>, and <italic>ANRIL.</italic> The high expression level of <italic>ODRUL</italic> is related to the induction of <italic>ATP-binding cassette (ABC)</italic> gene expression, resulting in the emergence of doxorubicin resistance in osteosarcoma. lncRNAs are observed to be regulators of drug transporters in cancer cells such as <italic>MALAT1</italic> and <italic>ANRIL.</italic> Targeting P-gp expression using natural products is a new strategy to overcome cancer cell resistance and improve the sensitivity of resistant cells toward chemotherapies. This review validates the inhibitory effects of natural products on P-gp expression and activity using in silico molecular docking. <italic>In silico</italic> analysis showed that Delphinidin and Asparagoside-f are the most significant natural product inhibitors of p-glycoprotein-1. These inhibitors can reverse multi-drug resistance and induce the sensitivity of resistant cancer cells toward chemotherapy based on <italic>in silico</italic> molecular docking. It is important to validate that pre-elementary docking can be confirmed using <italic>in vitro</italic> and <italic>in vivo</italic> experimental data.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="fimmu-16-1511029-g004.tif" position="anchor"/>
</p>
</abstract>
<kwd-group>
<kwd>chemoresistance</kwd>
<kwd>p-glycoprotein-1</kwd>
<kwd>lncRNA</kwd>
<kwd>efflux transporters</kwd>
<kwd>in silico analysis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="180"/>
<page-count count="22"/>
<word-count count="7015"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Although there are many significant cancer treatments, many issues reduce the sensitivity and responsiveness toward chemotherapeutic drugs. There are many mechanisms for controlling cancer cell resistance and emergence of multidrug resistance, including overexpression of ABC transporters and p-glycoproteins (<xref ref-type="bibr" rid="B1">1</xref>). High expression levels of ABC transporters require ATP to efflux chemotherapeutic drugs from cells (<xref ref-type="bibr" rid="B2">2</xref>). P-glycoprotein (P-gp) is an efflux protein that is the main cause of Multidrug resistance (MDR) (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Juliano et coworkers observed P-gp expression on the surface of ovarian cells (<xref ref-type="bibr" rid="B5">5</xref>). ABCB1 encodes P&#x2010;gp, which consists of four domains: two nucleotide-binding domains and two transmembrane domains (<xref ref-type="bibr" rid="B6">6</xref>). P-gp is expressed at high levels on the surfaces of several cancers, including lung cancer, breast cancer, colon cancer, osteosarcoma, and hepatocellular carcinoma (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>;MA et&#xa0;al., 2019;<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). P-gp transporters efflux chemotherapeutic agents from the cell, resulting in cancer cell resistance (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The chemotherapeutic substrates for P-gp transporters include paclitaxel, 5&#x2212;fluorouracil, doxorubicin, and 5&#x2212;fluorouracil (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Several studies have shown that lncRNAs are strongly associated with the emergence of multidrug resistance in several cancer cell types (<xref ref-type="bibr" rid="B16">16</xref>). Although lncRNA transcripts are &gt; 200 nucleotides long, no protein-coding potential has been identified (<xref ref-type="bibr" rid="B17">17</xref>). Disturbances in lncRNA levels lead to chemoresistance in cancer cells (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). lncRNAs regulate drug transporters in cancer cells, such as <italic>MALAT1</italic> and <italic>ANRIL</italic> which control the expression of Multidrug resistance protein 1 (MRP1) and Multidrug resistance gene 1 (MDR1) (<xref ref-type="bibr" rid="B20">20</xref>). Both <italic>in vivo</italic> and <italic>in vitro</italic> studies have shown that <italic>MALAT1</italic> is associated with the development of cisplatin-resistant A549 lung cancer cells. High expression levels of <italic>ANRIL</italic> induce cisplatin-resistant and 5-fluorouracil-resistant gastric cancer cells. In this context, inhibition of P-gp transporter expression decreases multidrug resistance and increases the responsiveness of resistant cancer cells toward chemotherapeutic drugs. Natural products can modulate cancer cell resistance by inhibiting P-gp transporter expression. P-glycoprotein is one of the chemoresistance mechanisms in cancer cells that causes long-term chemotherapeutic failure. lncRNAs, such as MALAT1, ANRIL, and ODRUL, are considered inducers of p-glycoprotein expression. Targeting P-gp expression is a significant strategy to overcome chemotherapeutic resistance and increase cancer cell sensitivity towards drugs. Because natural products are extracted from natural sources, they are considered favorable P-glycoprotein inhibitors without side effects. In this review, we describe several types of natural products that can increase the sensitivity of resistant cancer cells, which was confirmed by <italic>in silico</italic> molecular docking. In addition, this review describes the mechanisms of cancer drug resistance, different types of lncRNAs, and their relationship to chemotherapeutic resistance. This review presents an important step in the strategy to increase the responsiveness of resistant cancer cells; however, future <italic>in vitro</italic> and <italic>in vivo</italic> experiments are needed to confirm our preliminary docking results.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Mechanisms of cancer drug resistance</title>
<p>Drug resistance can be classified into two classes: primary and secondary. Primary resistance appears before the exposure of cancer cells to chemotherapy. Secondary resistance arises from adaptation of cancer cells to chemotherapy. Drug resistance commonly results from genomic alteration. There are different resistance mechanisms, including p-efflux transporters, inhibition of drug entry, and EMT, as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Mechanisms of cancer cell resistance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-g001.tif"/>
</fig>
<sec id="s2_1">
<label>2.1</label>
<title>Tumor heterogeneity</title>
<p>Tumor heterogeneity is a significant factor underlying resistance to cancer drugs and is considered a fundamental feature of tumor progression and adaptation to different conditions. The evolutionary power of tumors is mainly linked to heterogeneity; colonies with more robust heterogeneity are favored during cancer progression and become dominant (<xref ref-type="bibr" rid="B25">25</xref>). Tumor heterogeneity can be attributed to both intrinsic and extrinsic factors. Generally, intrinsic factors are cellular in origin and can accumulate due to alterations in the levels of DNA, RNA, protein, epigenetics, and signal transduction. Genetic alterations include mutations, gene amplification, chromosomal aberrations, and miRNA gene changes. Alterations in transcriptomics, proteomics, and epigenetics could also originate from DNA alterations, which could modulate the cell cycle and its overall regulation (<xref ref-type="bibr" rid="B26">26</xref>). Additionally, modification of cancer stem cells (CSCs) supports heterogeneity, tumor plasticity, and resistance (<xref ref-type="bibr" rid="B27">27</xref>). Downregulation of pro-apoptotic molecules and upregulation of anti-apoptotic players participate in heterogeneity-associated resistance (<xref ref-type="bibr" rid="B28">28</xref>). Moreover, differences in signaling contribute to heterogeneity in cancer drug resistance heterogeneity (<xref ref-type="bibr" rid="B29">29</xref>). Tumors could possess a high level of stochasticity due to <italic>de novo</italic> differences in enzymatic signal transduction cascades that promote biological noise and subsequently develop feedback inhibition motifs to decrease biological noise (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Conversely, extrinsic or microenvironmental factors can promote heterogeneity and resistance through spatial differences in cells, blood supply, pH, hypoxia, and paracrine signaling (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Additionally, the vascular network and contact with cancer cells are arbitrary, resulting in fluctuations in the nutrient and metabolic status of different cancer cells (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Tumor burden and physical barriers</title>
<p>There is a significant association between tumor size and tumor resistance, and tumor size could be a determinant of tumor capacity to develop drug resistance mutations. Tumor growth and response to therapy have an inverse relationship with the growth rate (<xref ref-type="bibr" rid="B34">34</xref>). However, cancers can reveal spatial gradients that limit the blood supply and oxygen enrichment, creating an isolated hypoxic pro-tumorigenic environment with low contact with chemotherapy (<xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Tumor microenvironment</title>
<p>Tumor microenvironment (TME) interactions with tumor cells can aid in resistance. Tumors are not fully homogeneous but include different classes of cells and extracellular matrix (ECM), such as immune and inflammatory cells, fibroblast blood vessels, multiple nutrients, and signaling molecules (<xref ref-type="bibr" rid="B35">35</xref>). TME could be attributed to the pharmacological outcomes that force the cells to adapt to chemotherapy. One TME factor is pH; tumor cells typically exhibit a reversed pH gradient, with intracellular pH higher than extracellular pH, which promotes resistance to chemotherapy (<xref ref-type="bibr" rid="B36">36</xref>). Furthermore, alkaline pH modulates ion trapping, reduces drug efficacy, and helps cancer cells avoid apoptosis, promoting cell proliferation, tumor aggressiveness, invasion, and resistance to the immune response (<xref ref-type="bibr" rid="B37">37</xref>). Cycles of hypoxia, reoxygenation, and lack of O<sub>2</sub> produce reactive oxygen species (ROS) that are associated with heterogeneity and resistance (<xref ref-type="bibr" rid="B38">38</xref>). In addition, EMT and CSCs have carcinogenic effects by helping cancer cells avoid apoptosis (<xref ref-type="bibr" rid="B39">39</xref>). Additionally, resistance could be attributed to TME attenuation of the immune clearance of cancer cells, and the TME could enhance resistance by inducing paracrine growth factors to mediate cancer cell growth (<xref ref-type="bibr" rid="B40">40</xref>). Chemotherapy pressure forces cells to possess a robust phenotype against stress (<xref ref-type="bibr" rid="B41">41</xref>). In addition, external pressure can modulate the expression of anti-apoptotic markers and epithelial-to-mesenchymal transition (EMT).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Cancer stem cells</title>
<p>The presence of stem cells in cancer tissues is linked to the resistance of many cancers, such as a long lifetime, high expression of drug exporters, elevated DNA repair mechanisms, and attenuated apoptosis (<xref ref-type="bibr" rid="B42">42</xref>). Stem-cell-dependent resistance is generally dependent on EMT machinery (<xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>EMT</title>
<p>The EMT process is distinguished by the loss of both cell-cell contacts and apico&#x2013;basal polarity associated with epithelial cells, ultimately acquiring mesenchymal features (<xref ref-type="bibr" rid="B44">44</xref>). The EMT program is mainly initiated by TME paracrine signaling by fibroblasts, macrophages, or immunocytes (<xref ref-type="bibr" rid="B44">44</xref>). EMT permits cancer cells to possess the ability to resist anticancer drugs and avoid apoptosis. EMT is characterized by elevation of transforming growth factor-beta (TGF-&#x3b2;), which significantly aids in resistance (<xref ref-type="bibr" rid="B45">45</xref>). EMT-linked transcription factors, including Twist1, Snail, Slug, ZEB, and FOXC2, are associated with drug resistance in cancer (<xref ref-type="bibr" rid="B46">46</xref>). These transcription factors support resistance by promoting drug efflux, such as ABC transporters, in addition to avoiding apoptosis via an immune response that shares similarities with the resistance profile of stem cancer cells (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). The EMT also has the capacity to self-renew and escape apoptosis. EMT is the initial step in escape from neighboring tissues and subsequent metastasis (<xref ref-type="bibr" rid="B50">50</xref>).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Drug manipulation</title>
<p>Drug efflux machinery, such as ABC transporter and efflux pump P-glycoprotein (P-gp), are enhanced through EMT, stem cells, miRNAs, and as a response to pharmaceutical pressure (<xref ref-type="bibr" rid="B51">51</xref>). Generally, drug uptake into cells occurs through diffusion through the plasma membrane (PM), transporter activity, and endocytosis. During cancer development, alterations are accompanied by changes in the lipid composition of the PM, such as phosphatidylserine (PS). In cancer cells, PS is exposed to an extracellular environment opposite to normal PM, which gives the cell more negative charge-altering drug entry (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Additionally, the attenuated pH of the extracellular media of cancer cells affects the ionization status of drugs and their entry (<xref ref-type="bibr" rid="B54">54</xref>). Drug entry is also dependent on several transporters called carriers (SLC), such as OATP1B3 and OCT6, which were found to be attenuated during treatment with doxorubicin and cisplatin (<xref ref-type="bibr" rid="B55">55</xref>). Moreover, elevated rigidity of endosomes affects the endocytosis process, thereby affecting drug entry (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). In addition, alterations in drug targets, such as protein mutations or expression aberrations, suppress the robustness of targeted therapy. For instance, a missense variant in the epidermal growth factor receptor (EGFR) subsequently impairs the binding of gefitinib/erlotinib to the kinase (<xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Epigenetic alterations</title>
<p>Epigenetic modifications include methylation, histone modifications, and non-coding RNAs disturbances (<xref ref-type="bibr" rid="B59">59</xref>). Oncogene promoters can be demethylated and subsequently gene expression is elevated, as observed in several genes, including ID4, ERp29/MGMT, ETS-1,</p>
<p>and miR-663, which are involved in breast cancer resistance against several chemotherapeutics (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>). Similarly, the MDR1 and PD-L1/DNMT1 axes are hypomethylated in HCC cells treated with Doxorubicin and sorafenib, respectively (<xref ref-type="bibr" rid="B62">62</xref>). However, some gene promoters are hypermethylated, causing attenuation of gene expression and subsequent resistance, such as TGBI and ER-&#x3b1;, in breast cancer when Trastuzumab and Antiestrogen are administered, respectively (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>). Moreover, target genes and export pump functions can be enhanced by histone demethylation and acetylation (<xref ref-type="bibr" rid="B65">65</xref>). Furthermore, miRNA alterations that affect gene expression are involved in drug cancer resistance. For instance, miR-15b promotes resistance to cisplatin by targeting PEBP4- and RKIP-mediated EMT, similar to miR-27a (<xref ref-type="bibr" rid="B66">66</xref>). In addition, lncRNAs are overexpressed and promote proteins related to cancer drug resistance (<xref ref-type="bibr" rid="B67">67</xref>).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>DNA damage repair</title>
<p>The DNA damage repair (DDR) machinery is controlled by several genes that are enhanced during cancer therapy, leading to resistance. Thus, impairment of the DDR can increase pharmaceutical sensitivity (<xref ref-type="bibr" rid="B68">68</xref>). O-6-Methylguanine-DNA Methyltransferase (MGMT) is responsible for the clearance of alkyl adducts from the O6 position of guanine; inactivation of this machinery was found to be a therapeutic target for sensitizing cells to O6-alkylating agents (<xref ref-type="bibr" rid="B69">69</xref>). DNA-dependent protein kinase (DNA-PK) is part of the double-strand break repair machinery (DSBs), and inhibition of this mechanism could promote radio/chemosensitivity of cancer cells (<xref ref-type="bibr" rid="B70">70</xref>).</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Cell cycle</title>
<p>Irreversible cell arrest &#x201c;senescence&#x201d; could be provoked by several factors, including oncogenic genetic alterations, telomere erosion, and DNA damage linked to pharmaceutical therapy. However, the surviving cell populations may be more vigorous and highly proliferative (<xref ref-type="bibr" rid="B71">71</xref>). However, some cancer cells evade irreversible cell arrest and &#x201c;senescence&#x201d; by modifying apoptotic pathways to promote chemoresistance (<xref ref-type="bibr" rid="B72">72</xref>).</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Energy alterations</title>
<p>Cancer cells develop characteristic metabolic phenotypes, especially glycolysis, known as the Warburg effect, which allows cancer cells to possess significantly higher intracellular ATP levels than normal cells of the same origin (<xref ref-type="bibr" rid="B73">73</xref>). Interestingly, cancer cell chemoresistance is correlated with ATP levels, and attenuation can sensitize cells (<xref ref-type="bibr" rid="B74">74</xref>). Increased cytosolic ATP levels are accompanied by elevated mitochondrial ATP levels in cancer- resistant cells. This phenomenon promotes drug efflux through ABC transporters, which in turn increases drug resistance (<xref ref-type="bibr" rid="B75">75</xref>). In contrast, the presence of extracellular ATP (eATP) in tumor cells is remarkably higher than that in normal cells, which is attributed to the elevated ATP produced from apoptosis and autophagy during therapy (<xref ref-type="bibr" rid="B76">76</xref>). Firstly, eATP can be transported to cells to promote resistance, as discussed earlier. Additionally, eATP signaling can promote EMT, cell growth, survival, and proliferation (<xref ref-type="bibr" rid="B77">77</xref>).</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Drug efflux variations</title>
<p>49 of ATP-binding cassette transporters efflux chemical drugs from cancer cells, resulting in multidrug resistance (MDR). P-glycoprotein (P-gp), multi-drug-resistant associate protein (MRP), and adenosine triphosphate-binding cassette superfamily G member 2 (ABCG2) are the most common efflux transporters in ovarian and breast cancers (<xref ref-type="bibr" rid="B78">78</xref>). It has been observed that high expression levels of P-gp transporters in colorectal cancer and neuroblastoma lead to poor prognosis (<xref ref-type="bibr" rid="B79">79</xref>). P-gp transporters are encoded by the gene (MDR1) during the transformation of normal tissues into neoplastic tissues (<xref ref-type="bibr" rid="B80">80</xref>). Downstream receptors and proteins GTPase H-Ras, Mitogen-activated protein kinase 1/2 (MEK1/2), and Raf- 1 are involved in the mitogen-activated protein kinase (MAPK) pathway associated with high P-gp expression levels. On the other hand, Katayama, Imai, and their co-workers observed that inhibition of the extracellular signal-regulated kinase (ERK) pathway downregulates the expression level of P-gp (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>).</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Effect of P-glycoprotein in tumor immunity</title>
<p>The high expression level of P-gp in immune cells induces their activation, modulation of their activity, and the release of cytokines. In the peripheral circulating system, the number of monocytes is very low, on the other hand, it increases in tissue tumor-infiltrating macrophages (<xref ref-type="bibr" rid="B83">83</xref>). The expression of P-gp in dendritic cells depends on its activation with a professional antigen (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>). Lloberas and his co-workers observed that using Valspodar to block P-gp prevented the maturation of dendritic cells and their activation markers CD80 and CD40 (<xref ref-type="bibr" rid="B85">85</xref>). Natural killer (NK (cells have a high P-gp expression level. There is a strong relationship between P-gp expression and the cytotoxic effects of NK. The high expression level of P-gp downregulates the cytotoxicity of NK cells by increasing the binding of Fas-mediated (Fas/FasL) P-gp+ NK cells to target cells. This triggers apoptosis of target cells by inducing the release of secretory granules with an inflammatory cytotoxic effect (<xref ref-type="bibr" rid="B86">86</xref>). In adaptive immunity, individual cell types determine the role of p-g expression. For example, in lymph nodes, the migration and transitional phenotype of B cells depends on the expression level of P-gp (<xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B88">88</xref>). In CD4<sup>+</sup>T cells, Th1 and Th17 are effectors of T cells, and their inflammatory effect is associated with the expression level of P-gp. In contrast, the anti-inflammatory effect of T regulatory cells (Treg) limits the expression level of P-gp (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B90">90</xref>). Kooij and his co-workers declared that memory (IL18R&#x3b1;<sup>+</sup>CD161<sup>+</sup>CD62L<sup>lo</sup>) phenotype in CD8<sup>+</sup>T cells determines the expression level of P-gp (<xref ref-type="bibr" rid="B91">91</xref>). Bidirectional responses of P-gp expression were observed in CD8<sup>+</sup> memory T cells in mucosal cells. In mucosal cells, P-gp normally effluxes xenobiotic toxins out of the cell; however, if a normal microbiome is distributed, this leads to enhanced effector responses and causes the emergence of autoimmune diseases such as Crohn&#x2019;s disease. In acute myeloid leukemia, immune cells, including follicular lymphoma and B-cell lymphoma, boost P-gp expression levels, leading to chemotherapeutic resistance (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>). High MAP kinase/ERK signaling is associated with the induction of P-gp expression, which has a significant role in resistant myeloid leukemia (<xref ref-type="bibr" rid="B94">94</xref>). Ling et co-workers observed high P-gp expression levels in CD8+T cells derived from human colorectal cancer (<xref ref-type="bibr" rid="B95">95</xref>). In addition, chemoresistance in AML patients results from long-term chemotherapy and is correlated with the expression of CD4+CD161+P-gp+ T cells (<xref ref-type="bibr" rid="B96">96</xref>). On the other hand, Th17 and Th1 CD4+T-helper cells have been observed to trigger cytokine secretion, such as TNF&#x3b1;, and IL-17 which have anti-cancer activity (<xref ref-type="bibr" rid="B97">97</xref>). In this context, breast cancer cells have CD4+T-cells (CD4+CD73+T cells) that express P-gp and enhance the secretion of inflammatory and anticancer cytokines (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B99">99</xref>). There is a conflicting role for P-gp in cancer cells, which is expressed in the pro-tumor effect of M&#x3a6;2-macrophage and the anti-cancer effect of NK-cell and Th17/CD4+T cells. Therefore, it is important to study the role of P-gp in immune cells.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>lncRNAs related to p-glycoprotein</title>
<p>Several studies have shown that lncRNAs play a significant role in increasing the expression levels of P-gp transporters and inducing multidrug, as shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. <italic>ODRUL</italic> was observed to be highly expressed in osteosarcoma cell lines. The high expression level of <italic>ODRUL</italic> is related to the induction of <italic>ABCB1</italic> gene and results in the emergence of doxorubicin resistance in osteosarcoma (<xref ref-type="bibr" rid="B100">100</xref>). Knockdown of the expression level of ODRUL leads to a decrease in the expression level of <italic>ABCB1</italic> gene and improves the responsiveness of osteosarcoma toward doxorubicin (<xref ref-type="bibr" rid="B100">100</xref>). In addition, high expression levels of lncRNA <italic>HOTTIP</italic> have been observed in resistant pancreatic ductal adenocarcinoma (PDAC) (<xref ref-type="bibr" rid="B101">101</xref>). <italic>HOTTIP</italic> was associated with gemcitabine-resistant PDAC cells. <italic>In vitro</italic> and <italic>in vivo</italic> studies showed that <italic>HOTTIP</italic> induces proliferation, invasion, and gemcitabine resistance in cancer cells by modulating <italic>HOXA13</italic> gene (<xref ref-type="bibr" rid="B101">101</xref>). <italic>HOTTIP</italic> knockdown improves the sensitivity of cancer cells toward gemcitabine (<xref ref-type="bibr" rid="B101">101</xref>). It was also observed that <italic>H19</italic> mRNA in resistant HepG2 cells induces the expression of p-glycoprotein transporters. High levels of <italic>H19</italic> mRNA induce doxorubicin resistance in HepG2 cells (<xref ref-type="bibr" rid="B102">102</xref>). Knockdown of <italic>H19</italic> mRNA induces the responsiveness and sensitivity of resistant cancer cells toward doxorubicin by increasing its accumulation and toxicity in both resistant and normal hepatoma cancer cells (<xref ref-type="bibr" rid="B102">102</xref>). Furthermore, knockdown of <italic>H19</italic> mRNA induces methylation of <italic>MDR1</italic> and then decreases P-glycoprotein expression (<xref ref-type="bibr" rid="B102">102</xref>). <italic>Linc-ROR</italic> lncRNA is upregulated in sorafenib-resistant HCC cells towards sorafenib. Knockdown of <italic>linc-ROR</italic> induces sorafenib toxicity and cancer cell death (<xref ref-type="bibr" rid="B103">103</xref>). High expression levels of CCAL lncRNAs induce multidrug resistance in colorectal cancer cells (<xref ref-type="bibr" rid="B104">104</xref>). <italic>CCAL</italic> lncRNA triggers a decrease in the signaling AP-2&#x3b1; protein-activated Wnt/&#x3b2;-catenin pathway, leading to upregulation of p-glycoprotein expression (<xref ref-type="bibr" rid="B104">104</xref>). On the other hand, low expression levels of snaR induce chemotherapeutic resistance in colon cancer toward 5-fluorouracil (<xref ref-type="bibr" rid="B105">105</xref>). High snaR expression induces apoptosis in colon cancer cells (<xref ref-type="bibr" rid="B105">105</xref>). High expression levels of <italic>HOTAIR</italic> induce platinum resistance in ovarian cancer cells. A high level of <italic>HOTAIR</italic> repairs the DNA damaged by platinum therapy, which activates NF-&#x3ba;B signaling, resulting in chemoresistance (<xref ref-type="bibr" rid="B106">106</xref>). Fang et co-workers observed that a high expression level of <italic>MALAT1</italic> is observed in cisplatin-resistant lung cancer. <italic>MALAT1</italic> induces cisplatin efflux from cells through efflux transporters (MDR1 and MRP1) after STAT3 activation (<xref ref-type="bibr" rid="B20">20</xref>). Furthermore, <italic>ANRIL</italic> was observed to induce the expression of efflux transporter proteins in resistant gastric cancer cells. Efflux transporter proteins pump cisplatin and 5-fluorouracil (5-FU) from cells, resulting in chemoresistance in gastric cancer cells (<xref ref-type="bibr" rid="B107">107</xref>). <italic>ANRIL</italic> knockdown increased the responsiveness of resistant cancer cells toward chemotherapeutic drugs by decreasing the levels of transporter proteins (<xref ref-type="bibr" rid="B107">107</xref>). <italic>MRUL</italic> increases the expression of <italic>ABCB1</italic>, which induces multidrug resistance. <italic>ABCB1</italic> gene is associated with efflux transporter proteins that pump doxorubicin out of cancer cells (<xref ref-type="bibr" rid="B108">108</xref>). <italic>ABCB1</italic> knockdown reduces drug efflux, leading to drug accumulation, toxicity, and apoptosis (<xref ref-type="bibr" rid="B108">108</xref>). The high expression levels of <italic>linc-VLDLR</italic> is implicated in the expression of the ABCG2. Chemotherapeutic drugs, including doxorubicin, sorafenib, and camptothecin, induce the expression of <italic>linc-VLDLR</italic> in both inside cells and in extracellular vesicles (EVs). Knockdown of <italic>linc-VLDLR</italic> reduces the level of ABCG2 drug efflux transporters and decreases cancer cell proliferation (<xref ref-type="bibr" rid="B109">109</xref>). lncRNA XIST controls the expression of Serum- and Glucocorticoid-Regulated Kinase 1 (SGK1), which sponges miR-124, resulting in doxorubicin resistance in colorectal cancer cells (<xref ref-type="bibr" rid="B110">110</xref>). Knockdown of <italic>XIST</italic> decreases the expression of p-glycoproteins and improved the responsiveness of resistant cancer cells toward DOX (<xref ref-type="bibr" rid="B110">110</xref>). Hu et co-workers observed that high expression levels of <italic>KCNQ1OT1</italic> are associated with oxaliplatin resistance in hepatoma cancer cells via the upregulation of efflux transporter genes, including MRP5, MDR1, and LRP1 (<xref ref-type="bibr" rid="B111">111</xref>). <italic>KCNQ1OT1</italic> knockdown decreases gene-related resistance and cancer cell growth, invasion, and migration. <italic>A KCNQ1OT1</italic> sponge with the 3&#x2032;-UTR of miR-7-5p regulates the expression level of <italic>ABCC1</italic> mRNA in hepatoma cancer cells (<xref ref-type="bibr" rid="B111">111</xref>). <italic>LINC00518</italic> induces chemotherapeutic resistance in breast cancer cells by sponging miR- 199a (<xref ref-type="bibr" rid="B112">112</xref>). High levels of miR- 199a induce the expression of chemoresistant MRP1, resulting in paclitaxel, vincristine, and doxorubicin resistance in breast cancer. Knockdown of <italic>LINC00518</italic> expression level induces breast cancer cell sensitivity toward chemotherapy (<xref ref-type="bibr" rid="B112">112</xref>). Bladder cancer-associated transcript-1 (<italic>BLACAT1</italic>) is observed in resistant gastric cancer cells (<xref ref-type="bibr" rid="B113">113</xref>). A high expression level of <italic>BLACAT1</italic> is associated with oxaliplatin resistance in gastric cancer cells. <italic>In vitro</italic> and <italic>in vivo</italic> studies observed that knockdown of <italic>BLACAT1</italic> downregulates the expression of <italic>ABCB1</italic> protein and inhibits the proliferation of gastric cancer cells. miR-361 interacts with the 3&#x2032;-UTR of <italic>BLACAT1</italic> and ABCB1mRNA resulting in chemoresistance (<xref ref-type="bibr" rid="B113">113</xref>). In conclusion, targeting p-glycoprotein and chemoresistance associated with lncRNAs is a new strategy for improving the responsiveness of resistant cancer cells toward chemotherapy.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Mechanisms of lncRNAs related to drug efflux proteins which lead to chemoresistance.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-g002.tif"/>
</fig>
</sec>
<sec id="s6">
<label>6</label>
<title>Phytochemicals target both lncRNAs and p-glycoprotein to overcome chemoresistance</title>
<p>Several studies have reported that different types of natural products act as P-gp inhibitors (<xref ref-type="bibr" rid="B114">114</xref>). Natural products decrease chemoresistance by targeting p-glycoprotein expression (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B114">114</xref>). Natural products are characterized by having groups of methoxy, allyloxy, or acetylamino substituents, chiral configuration at C-3, and chromanol scaffolds, which can modulate the activity of p-glycoproteins (<xref ref-type="bibr" rid="B159">159</xref>). Baicalin and baicalein are natural products derived from the root of <italic>Scutellaria baicalensis Georgi</italic> that can downregulate P-gp expression in Caco-2 cells. Baicalin and baicalein showed significant anti-cancer activity, with IC<sub>50</sub> = 479-332 &#x3bc;g/mL against Caco-2 cells. Miao et coworkers reported that <italic>in vitro</italic> studies of baicalein showed that baicalein has a greater inhibitory effect against P-gp than baicalin due to the presence of a glucosyl group (<xref ref-type="bibr" rid="B116">116</xref>). Chalcone is a natural phenolic compound that is extracted from apples, tomatoes, and licorice. <italic>In vitro</italic> studies have shown that chalcone inhibits p-glycoprotein activity, resulting in improved sensitivity of cancer cells toward chemotherapy (<xref ref-type="bibr" rid="B160">160</xref>). Cyanidin is a flavonoid extracted from leaves, vegetables, and fruits such as grapes, cherries, apples, beans, and cabbage. Cyanidin is cytotoxic to cancer cells by inducing apoptosis (<xref ref-type="bibr" rid="B161">161</xref>). Kitagawa observed that cyanidin decreased the expression levels of P-gp proteins and decreased chemoresistance (<xref ref-type="bibr" rid="B162">162</xref>). Quercetin is a flavonoid extracted from onion skin that has antioxidant activity. Quercetin inhibits chemotherapy transport by suppressing ATPase activity of ABCB1 (<xref ref-type="bibr" rid="B163">163</xref>). Rutin is a flavonoid extracted from the papaya plant. <italic>In vitro</italic> studies have shown that rutin inhibits P-gp activity and improves the responsiveness of cancer cells toward paclitaxel (<xref ref-type="bibr" rid="B123">123</xref>). Curcumin is a natural polyphenolic compound extracted from <italic>Curcuma longa</italic>. Curcumin inhibits the activity of P-glycoprotein regardless of the substrate formulation in LS180 Cells (<xref ref-type="bibr" rid="B164">164</xref>). Cinnamyl acetate is a natural phenylpropanoid compound extracted from the cinnamon bark. Cinnamyl acetate inhibits the expression of P-gp transporters and decreases chemoresistance in cancer cells (<xref ref-type="bibr" rid="B165">165</xref>). Hesperidin is a natural flavonoid extracted from citrus fruit. Kong et co-workers observed that hesperidin suppressed P-gp expression and induced the accumulation of chemotherapy in A549 cancer cells (<xref ref-type="bibr" rid="B166">166</xref>). Ursolic acid (UA) is a natural triterpene extracted from <italic>Annurca</italic> apples. Ursolic acid inhibits cancer cell proliferation by inducing apoptosis and upregulating caspase levels in resistant hepatoma cancer cells (<xref ref-type="bibr" rid="B167">167</xref>). Kaempferol is a flavonoid extracted from tea, curly kale, and blueberries. Kaempferol inhibits P-gp activity and decreases multi-drug resistance in KB-V1 cells (<xref ref-type="bibr" rid="B130">130</xref>). Luteolin is a natural product produced by <italic>Helicteres hirsute.</italic> Luteolin triggers cell death in cancer cells expressing efflux transporter proteins (ABCG2 and P-gp) by inducing ROS generation and DNA damage via inhibition of the NF-kB signaling pathway and downregulation of anti-apoptotic markers (<xref ref-type="bibr" rid="B134">134</xref>a). Sarsasapogenin is a steroid compound extracted from <italic>Anemarrhena asphodeloides Bunge</italic>. Sarsasapogenin suppresses the inflammatory activity that results from lipopolysaccharide (<xref ref-type="bibr" rid="B168">168</xref>). Fisetin is a flavone that is extracted from strawberries and apples. Kaempferol significantly inhibits P-gp expression more than fisetin, resulting in the efficient accumulation of daunorubicin (<xref ref-type="bibr" rid="B169">169</xref>). Glycyrrhizin is a natural product that is extracted from liquid plants. Glycyrrhizin inhibits P-gp activity and interacts with its substrate to inhibit P-gp transport (<xref ref-type="bibr" rid="B170">170</xref>). Noscapine is an alkaloid extracted from <italic>Papaver somniferum.</italic> Noscapine has been observed to have an inhibitory effect on P-gp, resulting in the suppression of multi-drug resistance in cancer cells (<xref ref-type="bibr" rid="B143">143</xref>). Allicin is a natural product that is extracted from garlic. Allicin can overcome p-glycoprotein and BCRP activity and induce the accumulation of sulfadiazine and florfenicol (<xref ref-type="bibr" rid="B171">171</xref>). Gingerol has also been extracted from <italic>Zingiber officinale</italic>. Gingerol inhibits P-gp activity and induces the accumulation of 3-H digoxin in Caco-2 cells (<xref ref-type="bibr" rid="B172">172</xref>). Gallocatechin gallate was extracted from green tea leaves. Gallocatechin gallate interacts with P-gp and decreases multidrug resistance in cancer cells (<xref ref-type="bibr" rid="B173">173</xref>). In conclusion, natural products can act as significant inhibitors to overcome multi-drug resistance and improve the sensitivity of cancer cells toward chemotherapy. Mondal et et&#xa0;al. observed that mahanimbine induced P-gp ATPase activity and decreased cancer cell resistance (<xref ref-type="bibr" rid="B174">174</xref>). Diindolylmethane is a dietary bioactive compound that modulates the efflux of ABC transporters and improves the efficacy of Centchroman in breast cancer cells (<xref ref-type="bibr" rid="B126">126</xref>). In addition, <italic>in vitro</italic> and <italic>in vivo</italic> studies have shown that betulinic acid downregulates the expression level of MALAT1 which is associated with hepatoma-resistant cells. In addition, bharangin is a natural product with a quinone- methide structure derived from <italic>Pygmacopremna herbacea</italic> (<xref ref-type="bibr" rid="B175">175</xref>). Studies have shown that bharangin downregulates the expression of H19 lncRNA in resistant breast cancer cells. Curcumin also reduces H19 lncRNA expression, which is associated with resistance in MCF-7 breast cancer cells (<xref ref-type="bibr" rid="B175">175</xref>). Curcumin affects EMT biomarkers, including N-cadherin and E-cadherin levels. It reduced the levels of N-cadherin and increased the levels of E-cadherin. <italic>In vitro</italic> studies have shown that curcumin decreases renal cancer cell migration and invasion by downregulating the expression of HOTAIR (<xref ref-type="bibr" rid="B124">124</xref>). Resveratrol is extracted from pistachios, plums, grapes, and berries (<xref ref-type="bibr" rid="B176">176</xref>). The expression level of MALAT1 is increased in resistant colon cancer cells. Resveratrol decreases colon cancer resistance by downregulating MALAT1 and mediating the Wnt/&#x3b2;-catenin signaling pathway. Silibinin decreases the expression of HOTAIR by modulating the PI3K pathway (<xref ref-type="bibr" rid="B177">177</xref>). Therefore, the inhibitory effect of the natural products was validated by <italic>in silico</italic> molecular docking analysis; however, future <italic>in vitro</italic> and <italic>in vivo</italic> experiments are needed to confirm our preliminary docking results.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Phytochemicals list that target P-glycoprotein and or LncRNAs to overcome chemoresistance in different cancer cells.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Phytochemicals</th>
<th valign="middle" align="center">Plant Source</th>
<th valign="middle" align="center">Bioavailability</th>
<th valign="middle" align="center">Concentration IC<sub>50</sub>
</th>
<th valign="middle" align="center">P-glycoprotein/LncRNAs</th>
<th valign="middle" align="center">
<italic>In vitro</italic>/<italic>in vivo</italic> experiments</th>
<th valign="middle" align="center">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Baicalein</td>
<td valign="middle" align="center">Root of <italic>Scutellaria baicalensis</italic> Georgi (Labiatae)</td>
<td valign="middle" align="center">The absolute bioavailability of baicalein in different doses ranged from 13.1% to 23.0%.</td>
<td valign="middle" align="center">332 &#x3bc;g/mL</td>
<td valign="middle" align="left">Baicalein inhibits the expression and activity of P-glycoprotein resulting in the accumulation of intracellular rhodamine 123.<break/>Baicalein down-regulates BDLNR in poor cervical cancer <italic>in vivo</italic> which is bound to Y-box binding protein 1 (YB-1), recruited YBX1 to PIK3CA promoter, activated PIK3CA expression and PI3K/Akt pathway.</td>
<td valign="middle" align="center">Caco-2 cells, cervical cancer, and rat gut sacs</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B115">115</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Baicalin</td>
<td valign="middle" align="center">Root of <italic>Scutellaria baicalensis</italic> Georgi (Labiatae)</td>
<td valign="middle" align="center">low bioavailability of about 2.2 &#xb1; 0.2%</td>
<td valign="middle" align="center">479 &#x3bc;g/mL</td>
<td valign="middle" align="left">Baicalin doesn&#x2019;t affect P-glycoprotein activity. This is because of the structure-activity relationship of the inhibitors of P-gp. Baicalin has glucosyl that influences the activity of P-gp and downregulates its inhibitory effect.</td>
<td valign="middle" align="center">Caco-2 cells and rat gut sacs</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B116">116</xref>, <xref ref-type="bibr" rid="B118">118</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Quercetin</td>
<td valign="middle" align="center">Amaryllidaceae, Brassicaceae, Capparaceae, Ericaceae, Liliaceae, and Rosaceae.</td>
<td valign="middle" align="center">The bioavailability of quercetin is relatively low (&lt;10%)</td>
<td valign="middle" align="center">0.044 mM</td>
<td valign="middle" align="left">Quercetin targets MALAT1 and decreases invasion in prostate cancer by upregulating N-cadherin and phosphorylated Akt; downregulating E-cadherin.</td>
<td valign="middle" align="center">Prostate cancer</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B119">119</xref>&#x2013;<xref ref-type="bibr" rid="B122">122</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Rutin</td>
<td valign="middle" align="center">Buckwheat, apricots, cherries, grapes, grapefruit, plums, and oranges</td>
<td valign="middle" align="center">Poor bioavailability</td>
<td valign="middle" align="center">8 &#x3bc;M</td>
<td valign="middle" align="left">Rutin is observed to inhibit P-gp transport function and significantly reduce resistance in cytotoxicity assay to paclitaxel in P-gp overexpressing MDR cell lines.</td>
<td valign="middle" align="center">KB 3-1 and KB CH<sup>R</sup> 8-5 cell lines</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B123">123</xref>b)</td>
</tr>
<tr>
<td valign="middle" align="center">Curcumin</td>
<td valign="middle" align="center">
<italic>Curcuma longa</italic>
</td>
<td valign="middle" align="center">Very poor bioavailability</td>
<td valign="middle" align="center">0,5,15, and 20 M</td>
<td valign="middle" align="left">Curcumin downregulates both H19 and HOTAIR in renal carcinoma and breast cancer cells. Curcumin affects EMT biomarkers including N-cadherin and E-cadherin levels. It reduces levels of N-cadherin and increases levels of E-cadherin. <italic>In vitro</italic> studies observed that curcumin decreases renal cancer cell migration and invasion by downregulating the expression level of HOTAIR (<xref ref-type="bibr" rid="B124">124</xref>)</td>
<td valign="middle" align="center">MCF-7/TAMR * cell line.<break/>769-P-HOTAIR and 786-0 cell lines</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B125">125</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Diindolylmethane</td>
<td valign="middle" align="center">cruciferous vegetables</td>
<td valign="middle" align="center">DIM is poorly absorbed from the gastrointestinal tract</td>
<td valign="middle" align="center">56.23 &#xb5;M</td>
<td valign="middle" align="left">Diindolylmethane induces intracellular accumulation of Hoechst and Calcein, the substrates of P-gp and MRP1, respectively, in breast cancer cells. In addition, Diindolylmethane induces P-gp ATPase activity and inhibits its efflux activity.</td>
<td valign="middle" align="center">MDA-MB-231 cells Breast cancer cells</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B126">126</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Fisetin</td>
<td valign="middle" align="center">Strawberries, apples, grapes, onions, tomatoes, and cucumbers.</td>
<td valign="middle" align="center">Low bioavailability (44.1%)</td>
<td valign="middle" align="center">50 &#xb5;M</td>
<td valign="middle" align="left">Fisetin inhibits prostate cancer cell proliferation, migration, and invasion by modulating a P-glycoprotein overexpressing multidrug-resistant cancer cell line NCI/ADR-RES.</td>
<td valign="middle" align="center">NCI/ADR-RES prostate cancer cell</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B127">127</xref>&#x2013;<xref ref-type="bibr" rid="B129">129</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Kaempferol</td>
<td valign="middle" align="center">Leaves of <italic>Ginkgo biloba</italic>
</td>
<td valign="middle" align="center">Low poor at ~ 2%</td>
<td valign="middle" align="center">43 &#x3bc;mol/L</td>
<td valign="middle" align="left">Kaempferol increases the intracellular accumulation and reduces the efflux of Rh123 and <sup>3</sup>[H]vinblastine in KB-V1 cells</td>
<td valign="middle" align="center">Multidrug-resistant human cervical carcinoma KB-V1 cells</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B130">130</xref>b;<xref ref-type="bibr" rid="B131">131</xref>, <xref ref-type="bibr" rid="B132">132</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Luteolin</td>
<td valign="middle" align="center">
<italic>Vitex negundo</italic> leaves</td>
<td valign="middle" align="center">The low bioavailability 4.10%</td>
<td valign="middle" align="center">3&#x2013;50 &#xb5;M</td>
<td valign="middle" align="left">Luteolin induces apoptosis in P-glycoprotein- and ABCG2-expressing MDR cancer cells without affecting the transport functions of these drug transporters.</td>
<td valign="middle" align="center">BCRP-expressing MCF-7/Mito<sup>R</sup> cells</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B133">133</xref>, <xref ref-type="bibr" rid="B134">134</xref>b;<xref ref-type="bibr" rid="B135">135</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Glycyrrhizin</td>
<td valign="middle" align="center">licorice root</td>
<td valign="middle" align="center">Approximately 1%</td>
<td valign="middle" align="center">267.3 &#xb5;M</td>
<td valign="middle" align="left">Glycyrrhizin has anti-cancer and antioxidant activity. It reduces multidrug resistance (MDR) in cancer cells.<break/>Glycyrrhizin is a nitric oxide regulator in cancer cells and its subsequent anti-MDR effect.</td>
<td valign="middle" align="center">Breast cancer cells<break/>HCT116</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B136">136</xref>&#x2013;<xref ref-type="bibr" rid="B138">138</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Gingerol</td>
<td valign="middle" align="center">Rhizome of the ginger plant</td>
<td valign="middle" align="center">Poor bioavailability</td>
<td valign="middle" align="center">96.32 &#x3bc;M</td>
<td valign="middle" align="left">It is observed that the exposure at 8 &#xb5;M doxo concentrations in the presence of ginger improves drug accumulation and cytotoxicity on resistant MES-SA/Dx5 cells. Ginger induces the production of GSH content in resistant cells and decreases the multidrug resistance in resistant cells.</td>
<td valign="middle" align="center">Human uterine sarcoma cell line MES-SA MES-SA/Dx5 cells</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B139">139</xref>&#x2013;<xref ref-type="bibr" rid="B141">141</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Noscapine</td>
<td valign="middle" align="center">Papaveraceae, Berberidaceae, and Ranunculaceae</td>
<td valign="middle" align="center">Bioavailability was 30%</td>
<td valign="middle" align="center">34.7 &#x3bc;M</td>
<td valign="middle" align="left">Noscapine minimizes endothelial cell migration in the brain by targeting endothelial cell activator interleukin 8 (IL-8). It modulates P-gp activity efflux on resistant cancer cells.</td>
<td valign="middle" align="center">breast adenocarcinoma cell line MCF7</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B142">142</xref>&#x2013;<xref ref-type="bibr" rid="B144">144</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Anethole</td>
<td valign="middle" align="center">Anise (<italic>Pimpinella anisum</italic>), fennel (<italic>Foeniculum vulgare</italic>), star anise (<italic>Illicium verum</italic>), basil (Ocimumbasilicum), tarragon (<italic>Artemisia dracunculus</italic>)</td>
<td valign="middle" align="center">Limited bioavailability</td>
<td valign="middle" align="center">50 &#xb5;M</td>
<td valign="middle" align="left">Anethole has multiple anti-cancer mechanisms, such as inducing apoptosis, causing cell cycle arrest, exhibiting anti-proliferative and anti-angiogenic effects, and modulating critical signaling pathways including NF-&#x3ba;B, PI3K/Akt/mTOR, and caspases.</td>
<td valign="middle" align="center">Breast, prostate, lung, and colorectal cancers</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B145">145</xref>, <xref ref-type="bibr" rid="B146">146</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Procyanidin</td>
<td valign="middle" align="center">Apples, maritime pine bark, cinnamon, cocoa beans, grape seed, grape skin, and red wines of <italic>Vitis vinifera</italic>
</td>
<td valign="middle" align="center">The bioavailability depends on their degree of polymerization. The absorption rate of proanthocyanidin dimers is 5&#x2013;10%.</td>
<td valign="middle" align="center">6.88 M</td>
<td valign="middle" align="left">Procyanidin reverses MDR in A2780/T cells by inhibiting the function and expression of P-gp in A2780/T cells. Procyanidin reversed MDR by inhibiting the function and expression of p-gp via inhibition of NF-&#x3ba;B mediated by dephosphorylation of AKT and ERK1/2, respectively.</td>
<td valign="middle" align="center">Ovarian cancer cell line<break/>A2780/T<break/>OAW42 and OVCAR3 cells</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B147">147</xref>&#x2013;<xref ref-type="bibr" rid="B149">149</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Allicin</td>
<td valign="middle" align="center">Garlic cloves</td>
<td valign="middle" align="center">The bioavailability of allicin is poor</td>
<td valign="middle" align="center">10&#x2013;25 &#x3bc;M</td>
<td valign="middle" align="left">Allicin activates osteosarcoma immunoreactivity and induces apoptosis through the CBR3-AS1/miR-145-5p/GRP78 molecular axis. Allicin triggers silencing CBR3-AS1 led to reduced Saos-2 activity, enhanced apoptosis, and activated mitophagy and endoplasmic reticulum stress.</td>
<td valign="middle" align="center">osteosarcoma</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B150">150</xref>, <xref ref-type="bibr" rid="B151">151</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Astaxanthin</td>
<td valign="middle" align="center">Algae, yeast, salmon, trout, krill, shrimp and crayfish</td>
<td valign="middle" align="center">Less than 10% for raw uncooked vegetables</td>
<td valign="middle" align="center">&lt;200 &#x3bc;M</td>
<td valign="middle" align="left">RUSC1-AS1 is a novel oncogenic lncRNA in osteosarcoma through the miR-101-3p-Notch1-Ras-ERK pathway, which might be a potential therapeutic target for osteosarcoma. Astaxanthin down-regulates RUSC1-AS1 significantly attenuated the proliferative, epithelial-mesenchymal transition (EMT), growth, lung metastasis, migrative and invasive abilities of MG-63 and Saos-2 cells</td>
<td valign="middle" align="center">Osteosarcoma<break/>MG-63 and Saos-2 cells</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B152">152</xref>&#x2013;<xref ref-type="bibr" rid="B154">154</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Dihydromyricetin</td>
<td valign="middle" align="center">Leaves of grossedentata</td>
<td valign="middle" align="center">Poor bioavailability</td>
<td valign="middle" align="center">20.69 &#xb5;g/mL</td>
<td valign="middle" align="left">Dihydromyricetin effectively reversed multi-drug resistance occurring in SGC7901/5-FU cells cultured <italic>in vitro</italic> by downregulating MDR genes.<break/>It also decreased lncRNA MALAT1 expression which induces CSCC cell death via inducing excessive autophagy, which is mediated through the MALAT1-TFEB pathway.</td>
<td valign="middle" align="center">SGC7901/5-FU cells<break/>Cutaneous squamous cell carcinoma (CSCC)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B155">155</xref>, <xref ref-type="bibr" rid="B156">156</xref>)</td>
</tr>
<tr>
<td valign="middle" align="center">Cinnamaldehyde</td>
<td valign="middle" align="center">Bark, leaves, and twigs of various Cinnamomum species</td>
<td valign="middle" align="center">The oral bioavailability of cinnamaldehyde is around 20%</td>
<td valign="middle" align="center">9.48 and 9.12 &#x3bc;g/m</td>
<td valign="middle" align="left">cinnamaldehyde increased the curative effect of oxaliplatin by promoting apoptosis both <italic>in vitro</italic> and <italic>in vivo</italic>. Cinnamaldehyde and oxaliplatin synergistically reversed hypoxia-induced EMT and stemness of CRC cells and suppressed hypoxia-activated Wnt/&#x3b2;-catenin pathway synergistically. It inhibits P-glycoprotein expression through inhibition of STAT3 and AKT signaling to overcome drug resistance</td>
<td valign="middle" align="center">Lovo and HT-29 cells<break/>colorectal cancer (CRC)</td>
<td valign="middle" align="center">(<xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s7">
<label>7</label>
<title>How specific lncRNAs regulate drug transporters like P-gp</title>
<p>The regulation of P-gp by lncRNAs typically occurs through various signaling pathways and mechanisms. Here&#x2019;s a more specific look at how lncRNAs may regulate P-gp expression and function:</p>
<sec id="s7_1">
<label>7.1</label>
<title>Transcriptional regulation</title>
<p>Some lncRNAs can regulate the transcription of the ABCB1 gene, which encodes P-gp, through various transcription factors. LncRNAs may act as scaffolds or guides for transcription factors or chromatin remodeling complexes to either promote or repress the expression of ABCB1 [1]. The lncRNA MALAT1 has been reported to influence the transcriptional regulation of drug resistance genes, including P-gp, in cancer cells. MALAT1 can interact with specific transcription factors and chromatin modifiers to enhance the expression of ABCB1, increasing the efflux of chemotherapeutic agents and promoting drug resistance [2].</p>
</sec>
<sec id="s7_2">
<label>7.2</label>
<title>Epigenetic regulation</title>
<p>lncRNAs can interact with chromatin-modifying complexes and enzymes to modify the chromatin structure and regulate the expression of P-gp through epigenetic mechanisms [3, 4]. This regulation often involves histone modifications or DNA methylation patterns at the ABCB1 gene locus. The lncRNA HOTAIR is known to regulate the expression of P-gp through epigenetic modifications. HOTAIR interacts with polycomb repressive complexes to silence genes that may inhibit the expression of P-gp, potentially increasing its activity in the context of drug resistance [4].</p>
</sec>
<sec id="s7_3">
<label>7.3</label>
<title>miRNA sponging</title>
<p>Many lncRNAs can act as miRNA sponges, sequestering specific microRNAs (miRNAs) that normally target the ABCB1 gene or its associated regulatory pathways. By binding to these miRNAs, lncRNAs prevent them from inhibiting the expression of P-gp [1]. The lncRNA H19 has been shown to sponge miR-675, which could normally suppress ABCB1 expression. By binding to miR-675, H19 indirectly promotes P-gp expression and drug resistance in certain cancers [5].</p>
</sec>
<sec id="s7_4">
<label>7.4</label>
<title>Interaction with signaling pathways</title>
<p>LncRNAs can modulate multiple signaling pathways, such as the PI3K/Akt, NF-kB, and MAPK pathways, which are known to regulate the expression of drug transporters like P-gp [6].</p>
<list list-type="bullet">
<list-item>
<p>
<bold>PI3K/Akt Pathway</bold>: LncRNAs such as LncRNA-ATB have been shown to regulate the PI3K/Akt signaling pathway, which can enhance the expression of P-gp. This pathway is involved in cellular responses to stress and can influence drug transporter activity in cancer cells [7].</p>
</list-item>
<list-item>
<p>
<bold>NF-kB Pathway</bold>: Some lncRNAs, including LncRNA-MALAT1, may regulate the NF-kB signaling pathway, which is involved in inflammation and immune responses. NF-kB activation can also upregulate P-gp expression, particularly in the context of inflammation or drug resistance [8].</p>
</list-item>
</list>
</sec>
<sec id="s7_5">
<label>7.5</label>
<title>Post-transcriptional regulation</title>
<p>In addition to transcriptional regulation, lncRNAs can also affect P-gp at the post-transcriptional level. For instance, lncRNAs may modulate the stability of ABCB1 mRNA or influence its translation [1]. LncRNAs like TUG1 can regulate the stability of specific mRNAs through interactions with RNA-binding proteins, influencing the translation of P-gp and its levels in cells [1, 9].</p>
</sec>
<sec id="s7_6">
<label>7.6</label>
<title>Involvement in drug resistance mechanisms</title>
<p>lncRNAs are implicated in the development of drug resistance through their ability to modulate drug transporters like P-gp. For example, overexpression of certain lncRNAs can lead to increased P-gp activity, reducing the intracellular concentration of chemotherapeutic agents and thus contributing to resistance[10]. LncRNA-CCAT2 has been reported to be involved in chemoresistance by regulating the expression of P-gp. This lncRNA modulates the cellular response to chemotherapy drugs and enhances P-gp-mediated drug efflux [11].</p>
</sec>
</sec>
<sec id="s8">
<label>8</label>
<title>Computational and preclinical studies of p-glycoprotein -1 in chemoresistance cancer cells</title>
<p>In this review, we validate the potential effects of natural products against p-glycoprotein-1 to understand their association with cancer cell resistance. To perform molecular docking and illustrate inhibitor reactions, we used both the Molecular Operating Environment software (MOE, 2015.10) and BIOVIA Discovery Studio Visualizer (<xref ref-type="bibr" rid="B178">178</xref>). We followed the steps of a previously reported procedure to illustrate the reactions of inhibitors with significant amino acids or protein hotspots (<xref ref-type="bibr" rid="B178">178</xref>&#x2013;<xref ref-type="bibr" rid="B180">180</xref>). The 3D structures of the targeted proteins were obtained from the Protein Data Bank (PDB). As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, docking of the human P-glycoprotein in the ATP-bound, outward-facing conformation was performed using PDB 6C0V for p-glycoprotein -1 inhibitors. The exact binding site of bioactive compounds is the active site at which the co-crystallized ligand binds. All structure minimizations were conducted until an RMSD gradient of 0.05 kcal&#xb7;&#xb7;mol<sup>&#x2212;1</sup>&#xc5;<sup>&#x2212;1</sup> with <italic>MMFF94x</italic> force field, and partial charges were automatically calculated. Furthermore, all water molecules were removed from the compounds and p-glycoprotein-1 was prepared for docking using <italic>the Protonate 3D</italic> protocol in MOE with default parameters. To calculate both docking and scoring, we employed the <italic>triangle Matcher placement</italic> method and <italic>London dG</italic> scoring function. First, self-docking of the cocrystallized ligand near the protein- binding site was performed to ensure the docking protocol steps. Subsequently, ligand-receptor interactions at the target protein-binding site for the reported natural products in the active site were studied using a validated docking protocol (RMSD &lt; 2) to predict their binding approach and binding affinity. The inhibitory activity of the tested substances was compared with that of the most potent p-glycoprotein inhibitor (mifepristone) through computational analysis. The plausible modes of binding between these substances and their target binding sites were determined. Delphinidin 3,5-di(6-acetylglucoside) (docking score: <italic>S</italic> = -10.0549 kcal/mol) was found to have the most significant inhibitory activity in the p-glycoprotein-1 inhibitor group (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), with a higher potency than that of the control (mifepristone) (S = -5.1600 kcal/mol). Delphinidin 3,5-di (6-acetyl glucoside) interacts with the p-glycoprotein-1 active site via hydrogen bonds with the LEU <sup>531</sup> H-donor, GLN<sup>535</sup> H-donor, ASP <sup>805</sup> H-donor, ASP <sup>805</sup> H-donor, SER <sup>1077</sup> H-acceptor, and TYR <sup>1044</sup> pi-pi. In addition, asparagoside-f (docking score: <italic>S</italic> = -9.0916 kcal/mol) was found to have the 2<sup>nd</sup> highest inhibitory activity within the group, as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Furthermore, Quercetin, caflanone, rutin, curcumin, kaempferol, and kazinol-f had more potent inhibitory effects than the control (mifepristone) (S = -5.1600 kcal/mol). Based on docking simulations, it can be concluded that these inhibitors can effectively inhibit p-glycoprotein-1 and are therefore considered potent drugs to treat chemoresistance or increase the responsiveness of cancer toward chemotherapy. Our molecular docking results represent the first step toward overcoming chemoresistance. In this context, <italic>future in vitro</italic> and <italic>in vivo</italic>, future experiments are required to confirm our results.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Co-crystallized ligand interacted inside active site.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Docking energy scores and amino acids involved in binding for Mifepristone, and the reported natural product inhibitors docked with the Molecular structure of human P-glycoprotein in the ATP-bound, outward-facing conformation (PDB: 6C0V).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Name&#xa0;</th>
<th valign="middle" align="center">Amino acids involved in binding</th>
<th valign="middle" align="center">CDocker energy (kcal/mol)</th>
<th valign="middle" align="center">2D structure</th>
<th valign="middle" align="center">3D structure</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Co-crystallized ligand</td>
<td valign="middle" align="center">GLN <sup>1180</sup> (A) H-donor<break/>ASP <sup>164</sup> (A) H-donor<break/>LYS <sup>433</sup> (A) H-acceptor<break/>SER <sup>429</sup> (A) H-acceptor<break/>SER <sup>1177</sup> (A) H-acceptor<break/>GLY <sup>1179</sup> (A) H-acceptor<break/>GLN <sup>475</sup> (A) H-acceptor<break/>GLY <sup>430</sup> (A) H-acceptor<break/> LYS <sup>433</sup> (A) H-acceptor<break/>SER <sup>434</sup> (A) H-acceptor<break/>GLY <sup>432</sup> (A) H-acceptor<break/>SER <sup>434</sup> (A) H-acceptor<break/>THR <sup>435</sup> (A) H-acceptor<break/>THR <sup>435</sup> (A) H-acceptor<break/>GLN <sup>1180</sup> (A) H-acceptor<break/>ARG <sup>404</sup> (A) H-acceptor<break/>ARG <sup>404</sup> (A) H-acceptor<break/>SER <sup>434</sup> (A) H-acceptor<break/> GLN <sup>475</sup> (A) H-acceptor<break/>GLN <sup>475</sup> (A) H-acceptor<break/>SER <sup>434</sup> (A) H-acceptor<break/>LYS <sup>433</sup> (A) ionic<break/>TYR <sup>401</sup> (A) pi-pi</td>
<td valign="middle" align="center">-6.7843</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i001.tif"/>
</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i002.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">(Standard)<break/>Mifepristone<break/>The most significant p-glycoprotein-1 inhibitor</td>
<td valign="middle" align="center">TYR <sup>401</sup> pi-pi</td>
<td valign="middle" align="center">-5.1600</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i003.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i004.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Baicalin</td>
<td valign="middle" align="center">ALA <sup>529</sup> H-donor<break/> GLN <sup>1081</sup> H-acceptor<break/>ARG <sup>262</sup> H-acceptor<break/>ARG <sup>262</sup> ionic<break/>ARG <sup>262</sup> ionic</td>
<td valign="middle" align="center">-4.5814</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i005.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i006.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Baicalein</td>
<td valign="middle" align="center">ASP <sup>164</sup> H-donor<break/> ASP <sup>164</sup> H-donor<break/>ARG <sup>905</sup> H-acceptor<break/>ARG <sup>905</sup> ionic<break/>ARG <sup>905</sup> ionic<break/>TYR <sup>401</sup> pi-pi</td>
<td valign="middle" align="center">-6.2383</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i007.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i008.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Caflanone</td>
<td valign="middle" align="center">SER <sup>532</sup> pi-H <break/>TYR <sup>1044</sup> pi-pi</td>
<td valign="middle" align="center">-7.0596</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i009.tif"/>
</td>
<td valign="middle" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i010.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Cyanidin</td>
<td valign="middle" align="center">ASP <sup>164</sup> H-donor<break/>ARG <sup>404</sup> H-acceptor<break/>ARG <sup>404</sup> H-acceptor<break/>ARG <sup>404</sup> ionic<break/>ARG <sup>404</sup> ionic<break/>TYR <sup>401</sup> pi-pi</td>
<td valign="middle" align="center">-6.4466</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i011.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i012.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Quercetin</td>
<td valign="middle" align="center">GLY <sup>533</sup> H-acceptor<break/>TYR <sup>1044</sup> pi-pi</td>
<td valign="middle" align="center">-7.4963</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i013.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i014.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Rutin</td>
<td valign="middle" align="center">ASP <sup>805</sup> H-donor <break/>LEU <sup>531</sup> H-donor <break/>SER <sup>532</sup> H-acceptor<break/>ARG <sup>262</sup> H-acceptor<break/>GLN <sup>530</sup> pi-H<break/>TYR <sup>1044</sup> pi-pi</td>
<td valign="middle" align="center">-8.2013</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i015.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i016.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Digitoxigenin</td>
<td valign="middle" align="center">TYR <sup>1044</sup> (A) pi-pi</td>
<td valign="middle" align="center">-5.5567</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i017.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i018.tif"/>
</td>
</tr>
<tr>
<td valign="middle" align="center">Curcumin</td>
<td valign="middle" align="center">GLY <sup>430</sup> H-donor <break/> GLN <sup>438</sup> H-acceptor<break/>TYR <sup>401</sup> pi-pi</td>
<td valign="middle" align="center">-7.1348</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i019.tif"/>
</td>
<td valign="top" align="center">
<inline-graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1511029-i020.tif"/>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s9" sec-type="conclusion">
<label>9</label>
<title>Conclusion</title>
<p>Improving cancer cell responsiveness is a significant step toward enhancing the efficiency of chemotherapeutic drugs. Resistance to chemotherapy is one of the main causes of chemotherapeutic failure. P-gp is a membrane transporter that causes efflux of drugs from cancer cells and results in drug resistance. Several types of lncRNAs have been identified in resistant cancer cells, including <italic>ODRUL</italic>, <italic>MALAT1</italic>, and <italic>ANRIL.</italic> This review discusses the use of natural products as natural inhibitors of P-gp expression. <italic>In silico</italic> analysis showed that Delphinidin and Asparagoside-f are the most significant natural product inhibitors of p-glycoprotein-1 to overcome resistance. Our findings could open new hope in minimizing the immorality of chemoresistance and improving the outcome of several types of cancers.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="author-contributions">
<title>Author contributions</title>
<p>MD: Conceptualization, Investigation, Resources, Supervision, Writing &#x2013; original draft, Data curation. AH: Conceptualization, Supervision, Writing &#x2013; original draft, Formal analysis, Funding acquisition, Writing &#x2013; review &amp; editing. FA-O: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Investigation, Software, Data curation, Methodology, Validation. WH: Investigation, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization, Formal analysis, Project administration, Resources, Supervision. IC-O: Formal analysis, Investigation, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MG: Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; review &amp; editing. GR: Investigation, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SFE: Conceptualization, Formal analysis, Resources, Validation, Writing &#x2013; review &amp; editing. MAI: Conceptualization, Formal analysis, Resources, Validation, Writing &#x2013; review &amp; editing. TFI:&#xa0;Conceptualization, Formal analysis, Resources, Validation, Writing &#x2013; review &amp; editing. SSA: Conceptualization, Formal analysis, Resources, Software, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s11" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s12" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s13" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s14" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<glossary>
<title>Glossary</title>
<def-list>
<def-item>
<term>EMT</term>
<def>
<p>Epithelial-to-mesenchymal transition</p>
</def>
</def-item>
<def-item>
<term>lncRNA</term>
<def>
<p>Long non-coding RNA</p>
</def>
</def-item>
<def-item>
<term>P-gp</term>
<def>
<p>P-glycoproteins</p>
</def>
</def-item>
<def-item>
<term>ABC</term>
<def>
<p>ATP-binding cassette</p>
</def>
</def-item>
<def-item>
<term>MRP1</term>
<def>
<p>Multidrug resistance protein 1</p>
</def>
</def-item>
<def-item>
<term>MDR1</term>
<def>
<p>Multidrug resistance gene 1</p>
</def>
</def-item>
<def-item>
<term>CSCs</term>
<def>
<p>Cancer stem cells</p>
</def>
</def-item>
<def-item>
<term>ECM</term>
<def>
<p>Extracellular matrix</p>
</def>
</def-item>
<def-item>
<term>ROS</term>
<def>
<p>Reactive Oxygen Species</p>
</def>
</def-item>
<def-item>
<term>TGF-&#x3b2;</term>
<def>
<p>Transforming growth factor-beta</p>
</def>
</def-item>
<def-item>
<term>PM</term>
<def>
<p>Plasma membrane</p>
</def>
</def-item>
<def-item>
<term>PS</term>
<def>
<p>Phosphatidylserine</p>
</def>
</def-item>
<def-item>
<term>SLC</term>
<def>
<p>Several transporters named carriers</p>
</def>
</def-item>
<def-item>
<term>EGFR</term>
<def>
<p>Epidermal growth factor receptor</p>
</def>
</def-item>
<def-item>
<term>OATP1B3</term>
<def>
<p>Solute carrier organic anion transporter family member 1B3</p>
</def>
</def-item>
<def-item>
<term>OCT6</term>
<def>
<p>Organic cation transporter-6</p>
</def>
</def-item>
<def-item>
<term>ERP29</term>
<def>
<p>Endoplasmic reticulum protein 29</p>
</def>
</def-item>
<def-item>
<term>ID4</term>
<def>
<p>Inhibitor Of DNA Binding 4</p>
</def>
</def-item>
<def-item>
<term>MGMT</term>
<def>
<p>Methylated-DNA-protein-cysteine methyltransferase</p>
</def>
</def-item>
<def-item>
<term>ETS</term>
<def>
<p>ETS proto-oncogene 1</p>
</def>
</def-item>
<def-item>
<term>PD-L1</term>
<def>
<p>Programmed Cell Death Ligand 1</p>
</def>
</def-item>
<def-item>
<term>DNMT1</term>
<def>
<p>DNA methyltransferase 1</p>
</def>
</def-item>
<def-item>
<term>HCC</term>
<def>
<p>Hepatocellular carcinoma</p>
</def>
</def-item>
<def-item>
<term>TGBI</term>
<def>
<p>Transforming Growth Factor Beta Induced</p>
</def>
</def-item>
<def-item>
<term>ER-&#x3b1;</term>
<def>
<p>Estrogen Receptors Alpha</p>
</def>
</def-item>
<def-item>
<term>PEBP4</term>
<def>
<p>Phosphatidylethanolamine binding protein 4</p>
</def>
</def-item>
<def-item>
<term>RKIP</term>
<def>
<p>RAF-kinase inhibitor protein</p>
</def>
</def-item>
<def-item>
<term>DDR</term>
<def>
<p>DNA damage repair</p>
</def>
</def-item>
<def-item>
<term>MGMT</term>
<def>
<p>O-6-Methylguanine-DNA Methyltransferase</p>
</def>
</def-item>
<def-item>
<term>DNA-PK</term>
<def>
<p>DNA-dependent protein kinase</p>
</def>
</def-item>
<def-item>
<term>DSBs</term>
<def>
<p>Double-strand break repair machinery</p>
</def>
</def-item>
<def-item>
<term>eATP</term>
<def>
<p>Extracellular ATP</p>
</def>
</def-item>
<def-item>
<term>ABCG2</term>
<def>
<p>Adenosine triphosphate-binding cassette superfamily G member 2</p>
</def>
</def-item>
<def-item>
<term>MEK1/2</term>
<def>
<p>Mitogen-activated protein kinase 1/2</p>
</def>
</def-item>
<def-item>
<term>Raf- 1</term>
<def>
<p>RAF proto-oncogene</p>
</def>
</def-item>
<def-item>
<term>ERK</term>
<def>
<p>Extracellular signal-regulated kinase '</p>
</def>
</def-item>
<def-item>
<term>PDAC</term>
<def>
<p>ancreatic ductal adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term>ODRUL</term>
<def>
<p>OS doxorubicin resistance-related upregulated lncRNA</p>
</def>
</def-item>
<def-item>
<term>HOTTIP</term>
<def>
<p>HOXA transcript at the distal tip</p>
</def>
</def-item>
<def-item>
<term>HOT AIR</term>
<def>
<p>HOX antisense intergenic RNA</p>
</def>
</def-item>
<def-item>
<term>LINC-ROR</term>
<def>
<p>Long Intergenic Non-Protein Coding RNA, Regulator of Reprogramming</p>
</def>
</def-item>
<def-item>
<term>CCAL</term>
<def>
<p>Colorectal cancer-associated lncRNA</p>
</def>
</def-item>
<def-item>
<term>MALAT1</term>
<def>
<p>metastasis-associated lung adenocarcinoma transcript 1</p>
</def>
</def-item>
<def-item>
<term>ANRIL</term>
<def>
<p>Antisense Noncoding RNA in the INK4 Locus</p>
</def>
</def-item>
<def-item>
<term>MRUL</term>
<def>
<p>MDR-related and upregulated lncRNA</p>
</def>
</def-item>
<def-item>
<term>EVs</term>
<def>
<p>Extracellular vesicles</p>
</def>
</def-item>
<def-item>
<term>Linc-VLDLR</term>
<def>
<p>Long intergenic non-coding RNA VLDLR</p>
</def>
</def-item>
<def-item>
<term>SGK1</term>
<def>
<p>Serum- and Glucocorticoid-Regulated Kinase 1</p>
</def>
</def-item>
<def-item>
<term>miRNA</term>
<def>
<p>microRNAs</p>
</def>
</def-item>
<def-item>
<term>XIST</term>
<def>
<p>X-inactive specific transcript</p>
</def>
</def-item>
<def-item>
<term>LINC00518</term>
<def>
<p>Long intergenic nonprotein coding RNA 518</p>
</def>
</def-item>
<def-item>
<term>BLACAT1</term>
<def>
<p>Bladder cancer-associated transcript-1</p>
</def>
</def-item>
<def-item>
<term>STAT1</term>
<def>
<p>Signal transducers and activators of transcription</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>