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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2021.741326</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Everything Old Is New Again: Drug Repurposing Approach for Non-Small Cell Lung Cancer Targeting MAPK Signaling Pathway</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jain</surname>
<given-names>Anisha S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1407452"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Prasad</surname>
<given-names>Ashwini</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1461468"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pradeep</surname>
<given-names>Sushma</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1142453"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dharmashekar</surname>
<given-names>Chandan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1440748"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Achar</surname>
<given-names>Raghu Ram</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1409911"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Silina</surname>
<given-names>Ekaterina</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stupin</surname>
<given-names>Victor</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Amachawadi</surname>
<given-names>Raghavendra G.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Prasad</surname>
<given-names>Shashanka K.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1132445"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pruthvish</surname>
<given-names>R</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1490275"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Syed</surname>
<given-names>Asad</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/503545"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shivamallu</surname>
<given-names>Chandan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1144505"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kollur</surname>
<given-names>Shiva Prasad</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1140856"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Microbiology, School of Life Sciences, JSS Academy of Higher Education and Research</institution>, <addr-line>Mysuru</addr-line>, <country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research</institution>, <addr-line>Mysuru</addr-line>, <country>India</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Biochemistry, School of Life Sciences, JSS Academy of Higher Education and Research</institution>, <addr-line>Mysuru</addr-line>, <country>India</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Human Pathology, I.M. Sechenov First Moscow State Medical University (Sechenov University)</institution>, <addr-line>Moscow</addr-line>, <country>Russia</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Hospital Surgery, N.I. Pirogov Russian National Research Medical University (RNRMU)</institution>, <addr-line>Moscow</addr-line>, <country>Russia</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University</institution>, <addr-line>Manhattan, KS</addr-line>, <country>United States</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Biotechnology, Acharya Institute of Technology</institution>, <addr-line>Bengaluru</addr-line>, <country>India</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Botany and Microbiology, College of Science, King Saud University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Department of Sciences, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham</institution>, <addr-line>Mysuru</addr-line>, <country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Marie R. Webster, Lankenau Institute for Medical Research, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Paul B. Fisher, Virginia Commonwealth University, United States; Luis E. Arias-Romero, National Autonomous University of Mexico, Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ekaterina Silina, <email xlink:href="mailto:silinaekaterina@mail.ru">silinaekaterina@mail.ru</email>; Chandan Shivamallu, <email xlink:href="mailto:chandans@jssuni.edu.in">chandans@jssuni.edu.in</email>; Shiva Prasad Kollur, <email xlink:href="mailto:shivachemist@gmail.com">shivachemist@gmail.com</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>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>741326</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Jain, Prasad, Pradeep, Dharmashekar, Achar, Silina, Stupin, Amachawadi, Prasad, Pruthvish, Syed, Shivamallu and Kollur</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Jain, Prasad, Pradeep, Dharmashekar, Achar, Silina, Stupin, Amachawadi, Prasad, Pruthvish, Syed, Shivamallu and Kollur</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>Non-small cell lung cancer (NSCLC) is a prominent subtype of lung carcinoma that accounts for the majority of cancer-related deaths globally, and it is responsible for about 80% to 85% of lung cancers. Mitogen-Activated Protein Kinase (MAPK) signaling pathways are a vital aspect of NSCLC, and have aided in the advancement of therapies for this carcinoma. Targeting the Ras/Raf/MEK/ERK pathway is a promising and alternative method in NSCLC treatment, which is highlighted in this review. The introduction of targeted medicines has revolutionized the treatment of patients with this carcinoma. When combined with current systems biology-driven stratagems, repurposing non-cancer drugs into new therapeutic niches presents a cost-effective and efficient technique with enhancing outcomes for discovering novel pharmacological activity. This article highlights the successful cutting-edge techniques while focusing on NSCLC targeted therapies. The ultimate challenge will be integrating these repurposed drugs into the therapeutic regimen of patients affected with NSCLC to potentially increase lung cancer cure rates.</p>
</abstract>
<kwd-group>
<kwd>non-small cell lung cancer</kwd>
<kwd>drug repurposing/repositioning</kwd>
<kwd>MAPK</kwd>
<kwd>targeted therapy</kwd>
<kwd>inhibitors</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="90"/>
<page-count count="15"/>
<word-count count="6544"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>This review is emphasized on MAPK signaling, its role in tumor progression, and NSCLC targeted therapy. We started with MAPK mutations, and then moved on to drugs that have been reported to target NSCLC. Finally, the review looks into MAPK in NSCLC, with a focus on drug repurposing therapy. The key phrases &#x2018;MAPK,&#x2019; &#x2018;drug re-purposing,&#x2019; and &#x2018;non-small cell lung cancer&#x2019; were searched in PubMed, Google Scholar, ScienceDirect, Nature and NIH National Cancer Institute to find articles from high-quality journals published in the last decade (2011-2021). Articles were checked for uniqueness of subject matter and relevance to the subject area. The search engines resulted in over 956 articles, which were further scrutinized based on certain required criteria. Articles were restricted to the English language only, and a total of 115 articles were selected suitable for the current review.</p>
<p>NSCLC affects 8 of every 10 people with lung cancer, which is caused by a build-up of damaged cells. For several years, this damage can grow, multiply, and spread unchecked. The Ras/Raf/MEK/ERK regulates a number of biological functions, including proliferation and apoptosis. Recent research has discovered that this pathway is also important in regulating cellular senescence (<xref ref-type="bibr" rid="B1">1</xref>). Mutations that activate this signaling pathway have been reported in a vast number of human cancers, particularly lung adenocarcinoma, where they are appear to be significant drivers. As a result of these findings, small compounds targeting these kinases have been developed (<xref ref-type="bibr" rid="B2">2</xref>). Drug repurposing is an approach for discovering new uses for authorized or investigational medications that aren&#x2019;t related to their original medical indication. Researchers are increasingly adopting this technique to address the problem of drug shortages in the search for novel cancer medicines. The pharmacokinetic, pharmacodynamic, and toxicological characteristics of drugs have previously been established in preclinical and Phase I research, which is a major advantage of this strategy (<xref ref-type="bibr" rid="B3">3</xref>). In the present review, we primarily focus on the anticancer activity of existing drugs that were not initially designed for cancer therapy that can target the key mutations of Ras/Raf/MEK/ERK signaling pathway of NSCLC.</p>
</sec>
<sec id="s2">
<title>Non-Small Cell Lung Cancer</title>
<p>The cancer disease affects one out of every six people on the planet, which is greater than malaria, HIV/AIDS, and tuberculosis combined. Globally, 17 million new cancer cases and 9.5 million cancer deaths were estimated in 2018 (<xref ref-type="bibr" rid="B4">4</xref>). Lung cancer is the second most often diagnosed cancer and the leading cause of cancer death, with a projected 2.2 million new cases and 1.8 million fatalities in 2020. This accounts for around one in every ten (11.4%) cancer diagnoses and one in every five (18.0%) fatalities. It is the most prevalent cancer in males and the leading cause of mortality. In women, it is the third most common cancer and the second greatest cause of cancer death, after breast and colorectal cancer (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Lung cancer is a disease that develops when cells in the lungs proliferate and spread uncontrollably. NSCLC and small cell lung cancer (SCLC) are the two main forms, represented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. NSCLC accounts for 80 to 85% of lung cancer cases, with the remainder being SCLC. Adenocarcinoma, squamous cell carcinoma, and large cell carcinoma are the three primary subtypes of NSCLC. Of all the types, adenocarcinoma is the most common form that makes up 40% of all lung cancers. Adenocarcinoma begins in the cells of the glands on the outside of the lungs and is most common in non-smokers, women, and people under 45 years old. Squamous cell carcinomas account for 25&#x2013;30% of all lung cancers and are attributed largely to people with a history of smoking. Men are more likely than women to develop this subtype of NSCLC (<xref ref-type="bibr" rid="B6">6</xref>). A majority of this carcinoma begins centrally, in the lung&#x2019;s larger bronchi. Large cell carcinoma accounts for 10-15% of cases, which is the rarest of all lung cancers. This subtype of carcinoma develops rapidly and is often undetected until it has metastasized to other parts of the body (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A pie chart representing the classification of lung cancer along with the characteristics, origin and histopathology of each type. (The above histopathology pictures were retrieved from <uri xlink:href="https://www.lungevity.org/">https://www.lungevity.org/</uri>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-741326-g001.tif"/>
</fig>
<p>NSCLC affects 8 of every 10 people with lung cancer, which is caused by a build-up of damaged cells. For several years, this damage can grow, multiply, and spread unchecked. There are certain risk factors of NSCLC that can be avoided, such as smoking, being exposed to second-hand smoke, or exposure to radon, asbestos, uranium, and other radioactive materials and chemicals like arsenic, coal products, etc. A few risk factors cannot be altered, such as air pollution, heredity, and prior radiation therapy to lungs. The symptoms of NSCLC are not specific, but possible symptoms include persistent cough, rust-colored spit, coughing up blood, shortness of breath, hoarse voice, persistent lung infection, fatigue, and loss of appetite. Eating a healthy diet, avoiding smoking cigarettes, and exposure to harmful chemicals can reduce the risk of lung cancer (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) <bold>(</bold>
<xref ref-type="bibr" rid="B8">8</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>A few symptoms and risk factors causing NSCLC in humans.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-741326-g002.tif"/>
</fig>
<p>The most important treatment option for NSCLC is targeted therapy, and other basic treatment options include radiation therapy, surgery, chemotherapy, and immunotherapy. This review is based on the targeted therapy <italic>via</italic> a drug repurposing approach. Targeted therapies focus on a particular protein that is malfunctioning and causing cancer to grow. It targets cancer cells&#x2019; specific mutations that distinguish them from healthy cells (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). For this therapy, only patients whose malignancies test positive for the drug target are given the drugs. Monoclonal antibodies and small-molecule inhibitors are the two forms of targeted therapeutics. Monoclonal antibodies are designed to target alterations on the surface of cancer cells. These drugs include small-molecule inhibitors that attack cancer cells&#x2019; internal changes, and are administered using an intravenous line. These drugs can also be prescribed as pills once or twice a day. Targeted therapy is usually given for patients with stage IV NSCLC, where cancer has spread to other organs (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The discovery of mutations in lung cancer has contributed to the advancement of molecularly targeted therapy to help affected patients survive longer. Mutations in genes that encode elements of the EGFR, PI3K, and downstream MAPK signaling pathways can now be used to classify subtypes. This review primarily emphasizes the mutations of the MAPK pathway. These mutations can be used to define drug sensitivity, as well as primary or acquired resistance to kinase inhibitors (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>A pie of pie chart determining the frequencies of different driver mutations in lung adenocarcinoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-741326-g003.tif"/>
</fig>
</sec>
<sec id="s3">
<title>Mitogen-Activated Protein Kinase (MAPK) Pathway</title>
<p>In human cancer, the MAPK signaling pathway has a dominant role in several cellular functions, including cell survival, differentiation, proliferation, metastasis, and apoptosis. Overexpression of its elements, which are known as oncogenes, results in a large variety of tumors (<xref ref-type="bibr" rid="B12">12</xref>). MAPK pathways are three-kinase cascades where the most upstream kinase (MAPKKK) responds to various extracellular and intracellular signals, then directly phosphorylates the middle kinase (MAPKK) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). MAPKK phosphorylates and activates a MAPK, which usually has a large number of substrates that carry out complex cell fate decisions in response to the input signal. MAPKs are serine/threonine protein kinases that belong to a broad family (<xref ref-type="bibr" rid="B14">14</xref>). MAPK14 (also known as p38-&#x3b1;), JNK (also known as stress-activated protein kinases (SAPK)) and extracellular-signal-regulated kinase MAPK (ERK MAPK) (also known as Ras/Raf/MEK/ERK) are the three most common subfamilies of MAPK. The ERK MAPK is primarily engaged in lung cell death, pathogenesis, development, and carcinogenic activity. Kinases concerned in this cascade include RTKs, Ras, Raf, MEK, and ERK. The development of NSCLC is primarily influenced by four main mechanisms.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>In NSCLC, oncogenes including EGFR, KRAS, and EML4-ALK are activated, while tumor-suppressor genes including RAR-beta, RASSF1, p16INK4a and p53 are inactivated. In the KEGG MAPK signaling network, the Ras/Raf/MEK/ERK signaling pathway is emphasized (<xref ref-type="bibr" rid="B13">13</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-741326-g004.tif"/>
</fig>
<sec id="s3_1">
<title>Receptor Tyrosine Kinases (RTKS)</title>
<p>RTKs are kinases that are upstream of the signaling and are intricated in the Ras/Raf/MEK/ERK pathway. Growth factors activate the signal transduction cascade by binding and activating RTK transmembrane glycoproteins, followed by a signal transmission <italic>via</italic> cytosolic intermediates, and then transcription/translation regulation of effector genes occurs (<xref ref-type="bibr" rid="B15">15</xref>). This family comprises the epidermal growth factor receptor (EGFR) and the fibroblast growth factor receptor (FGFR) (<xref ref-type="bibr" rid="B16">16</xref>). The binding of a ligand/GF, such as EGF, stimulates EGFR, which is then activated by an intracellular tyrosine kinase domain. This causes it to autophosphorylate, resulting in EGFR overexpression and increased intracellular pathway activity. As a result, non-small lung cells engage in atypical cellular activity. Around 40 to 89% of NSCLC patients have EGFR deregulation (<xref ref-type="bibr" rid="B12">12</xref>). SHP2 and GRB2 control the activation of SOS proteins, first to SOSs, then to GDP and GTP, and finally GTP activates RAS. As a result, SHP2 and/or GRB2 inhibitors are successful in disrupting RAS-GTP loading in tumors with mutations of MAPK dependent kinases (<xref ref-type="bibr" rid="B17">17</xref>). The three key mechanisms that lead to EGFR activation include increased EGFR expression on malignant cells, increased ligand output by malignant cells, and triggering mutations of EGFR within malignant cells. EGFR was regarded to be a promising translational therapeutic target because it is overexpressed in up to 40% to 80% of NSCLC patients. However, it was later discovered that activating mutations, rather than EGFR overexpression, was the primary therapeutic target (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s3_2">
<title>RAS</title>
<p>Ras is a small GTPase that regulates upstream and downstream protein interactions, and GTPase hydrolyses GTP into GDP. RAS proteins are bound to the plasma membrane&#x2019;s internal surface and function as binary switch kinases (<xref ref-type="bibr" rid="B19">19</xref>). Ras is enabled by members of the RTK family, such as EGFR (<xref ref-type="bibr" rid="B16">16</xref>). The protein is inactive when bound to GDP, but when bound to GTP, it becomes active. This results in a conformational shift that allows downstream effectors to bind to and activate Ras, which triggers signaling cascades. A mutation in the Ras gene is detected in roughly 30% of human solid tumors, according to data from cancer mutation databases (<xref ref-type="bibr" rid="B20">20</xref>). HRAS, KRAS, and NRAS are the three subfamilies of the Ras gene. By binding to certain effectors (MAPK), these proteins encode membrane-bound 21-kD GTP-binding proteins that in-fluence cell responses, such as metastasis and apoptosis. This can result in a Ras mutation with aberrant GTPase action, which could lead to NSCLC development. Oncogenic mutations in the RAS family of genes result in amino acid changes at three key residues&#x2014;Gly12, Gly13, and Gln61&#x2014;each of which precludes the hydrolysis of bound GTP to GDP, leading to an active protein. Approximately 20&#x2013;30% of lung adenocarcinomas are caused by a mutation in the Ras gene (<xref ref-type="bibr" rid="B21">21</xref>). KRAS is chiefly mutated in lung, colorectal, and pancreatic cancers. NRAS activation is common in lymphoid/hematopoietic cancers and melanomas. HRAS is the least common cancer-associated Ras&#x2019;s isoform, and it is found mostly in cancers of the urinary tract, such as bladder cancer. The most common mutation sites in all three canonical Ras proteins are codons 12, 13 or 61 (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>KRAS activating mutations that contribute to constitutive signaling are found more frequently in adenocarcinoma (30%) and less frequently in squamous cell carcinoma (7%) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B23">23</xref>). KRAS mutations are most typically identified in the tumors of smokers (particularly heavy smokers), with non or light smokers accounting for just 5&#x2013;10% of KRAS-mutant lung cancers. The majority of KRAS mutations in NSCLC contain codons 12 (90%) or 13 (&gt;80%) and are normally linked to a history of tobacco use (<xref ref-type="bibr" rid="B24">24</xref>). The KRAS-G12C mutation is the most prevalent codon variation, accounting for roughly 39% of all KRAS-mutant NSCLCs. Other prevalent mutations are KRAS-G12V (18&#x2013;21%) and KRAS-G12D (17&#x2013;18%). The KRAS mutations and codon variants differ between smokers and non-smokers. Former or current smokers are more likely to have transversion mutations (G &gt; C or G &gt; T), whereas non-smokers are more likely to have transfer mutations (G &gt; A) (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s3_3">
<title>RAF</title>
<p>Raf is a downstream effector of Ras; hence, it must interact with an active Ras. A-Raf, B-Raf, and C-Raf are the three major variants of the Raf family, all of which are serine/threonine kinases that activate MEK and ERK1/2 to promote pathway progression. RAF1 (also known as CRAF) mutations are less prevalent (about 2%) although multiple studies have found elevated RAF1 expression in a range of primary human cancers (<xref ref-type="bibr" rid="B27">27</xref>). Of all the variants, BRAF mutations are frequent (<xref ref-type="bibr" rid="B12">12</xref>). Approximately 10% of mutations in BRAF contribute to the alteration of the Ras-Raf-MEK-ERK pathway, which leads to 40% of all human cancers. In 2-4% of NSCLC patients, these mutations have been discovered. The two types of Ras-independent BRAF mutants include class I mutants that behave as monomers and class II mutants that function as dimers. V600E is a class I BRAF mutant with the most widespread mutations (50%), and its constituent activation leads to MAPK hyperactivation (<xref ref-type="bibr" rid="B28">28</xref>). Only tumors with V600 mutations dis-play consistent clinical responses (<xref ref-type="bibr" rid="B17">17</xref>). In a negative feedback loop, MEK phosphorylation is caused by BRAF activation, which limits BRAF activity. BRAF inhibition has been linked to MAPK reactivation, which is thought to be mediated by EGFR (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s3_4">
<title>Mitogen-Activated Protein Kinase Kinase (MEK)</title>
<p>MEK proteins are dual-specificity Tyr/Thr protein kinases that phosphorylate serine/threonine and residues of tyrosine in ERK1 and ERK2 (<xref ref-type="bibr" rid="B29">29</xref>). MEK proteins are encoded by seven distinct genes, the most important of which are MEK1 and MEK2. Raf isoforms activate MEK (via phosphorylation), and MEK&#x2019;s downstream target is ERK (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Approximately 2% of MEK mutations occur in NSCLC patients. Since the Raf-MEK-ERK pathway is normally activated, it contributes significantly to tumor cell proliferation and survival. As a result, MEK1/2 inhibitors have the most antitumor effects in tumors harboring Ras or BRAF activating mutations (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s3_5">
<title>Extracellular Signal-Regulated Kinase (ERK)</title>
<p>ERK is another serine/threonine-protein kinase. ERK, like MEK, has two subunits: ERK1 and ERK2, which are activated by phosphorylation (<xref ref-type="bibr" rid="B31">31</xref>). When several kinases act on MEK, it directly cooperates with ERKs <italic>via</italic> its N-terminal domain, catalyzing the bispecific phosphorylation of Thr and Tyr residues. MEK activates ERK, while also an-choring it in the cytoplasm. If the signaling pathway is dormant, ERK is found in the cytoplasm. Activated ERKs are translocated to the nucleus when a signal induces the phosphorylation and dimerization of ERK (<xref ref-type="bibr" rid="B32">32</xref>). MEK and ERK mutations are uncommon. A blockade of ERK could cause patients to overcome or postpone resistance to inhibitors of upstream kinases like MEK and BRAF, which could benefit a larger range of patients suffering from cancer (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Inhibitors of RAS/RAF/MEK/ERK (MAPK) Pathway</title>    <p>The MAPK pathway (Ras, Raf, and MEK), one of the most downregulated path-ways in cancer, has recently been discovered to be a feasible target for innovative cancer therapy. Appropriate drugs ought to be target-specific and potentially less harmful than traditional cancer treatment (<xref ref-type="bibr" rid="B12">12</xref>). EGFR inhibitors effectively bind to EGFR, inhibiting EGFR overexpression and proliferation in NSCLC by reducing the binding of alternative ligands. Both gefitinib (<xref ref-type="bibr" rid="B33">33</xref>) and erlotinib (<xref ref-type="bibr" rid="B34">34</xref>) are FDA-approved EGFR inhibitors that could potentially be utilized to treat NSCLC (<xref ref-type="bibr" rid="B35">35</xref>). Trametinib and cobimetinib, two MEK inhibitors, have been approved by the EMA and FDA (<xref ref-type="bibr" rid="B35">35</xref>). In a pre-clinical study, trametinib showed tumor growth inhibition of 92% at 5.0 mg/kg and 87% at 2.5 mg/kg, in an A549 (KRAS mutant cell line) xenograft model (<xref ref-type="bibr" rid="B36">36</xref>). Cobimetinib is a powerful and extremely selective MEK inhibitor that has shown extensive activity in xenograft models using KRAS- and BRAF-mutated cell lines <italic>in vivo</italic> (<xref ref-type="bibr" rid="B37">37</xref>). The FDA has approved trametinib and dabrafenib as a breakthrough designation for BRAF-mutant NSCLC in 2015, and the combination was authorized in June 2017. A new therapy option has been obtained by combining MEK and BRAF inhibitors (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>KRAS is the only protein in this pathway for which there are no medicines that target its function directly. Oncogenic Ras mutants have been termed &#x201c;undruggable&#x201d; for decades, because of their high affinity for GTP and absence of a suitable binding site for small molecule inhibitors to bind (<xref ref-type="bibr" rid="B39">39</xref>). A covalent small molecule that docks in the switch II pocket and cross-links with Cys12 can be used to target KRAS G12C, ac-cording to the Shokat lab at UCSF (<xref ref-type="bibr" rid="B40">40</xref>). These results initiated a rush to produce KRAS-G12C-targeting medicines for therapeutic usage. The first drugs to target the KRAS G12C mutation in NSCLC were AMG510 and MRTX125 (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). However, more research into these drugs is still needed. Many researchers are attempting to tar-get Ras signaling downstream effectors as an alternative, such as MEK inhibition. To treat KRAS-driven cancers, a single or combinatorial therapeutic strategy could be used.</p>
<p>Among the components of this signaling cascade, Raf is a significant direct effector of Ras mutants, and a major target of carcinogenic mutations. RAF has long been considered a promising target for cancer therapy research because it is the first kinase in this pathway (<xref ref-type="bibr" rid="B43">43</xref>). The first-generation Raf inhibitors, including vemurafenib (<xref ref-type="bibr" rid="B44">44</xref>), dabrafenib (<xref ref-type="bibr" rid="B45">45</xref>) and encorafenib (<xref ref-type="bibr" rid="B46">46</xref>), were developed and used to treat BRAF(V600E)-positive malignancies as single treatments or in combination with MEK inhibitors. In the early stages of treatment, these drugs had promising efficacy, but it was gradually destroyed by drug resistance. This pathway can be activated by cancer cells in response to drug therapy in two ways:&#xa0;1. alternate splicing of BRAF(V600E) to produce variants&#xa0;with shortened N-termini, which improves BRAF(V600E) homodimerization and declines drug affinity; and 2. upregulating the cellular level of active Ras, which prompts to paradoxical initiation of ERK signaling. Other small molecule inhibitors, such as selumetinib and binimetinib, as well as a slew of others, are in the preclinical or early clinical stages of development (<xref ref-type="bibr" rid="B47">47</xref>). <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> explains the Ras/Raf/MEK/ERK Pathway diagrammatically and the specific inhibitors of each mutation of the pathway are specified. Cell surface molecules and protein kinases are still the most popular targets for anticancer drug development. A key focus for future MAPK drug development should be on targets that aren&#x2019;t traditionally thought of as attractive or &#x201c;druggable,&#x201d; but are crucial modulators of MAPK function (<xref ref-type="bibr" rid="B50">50</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Small molecule inhibitors that are approved and are in clinical trials targeting Ras/Raf/MEK/ERK (MAPK) cascade for the treatment of NSCLC (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-741326-g005.tif"/>
</fig>
</sec>
<sec id="s5">
<title>Immune Checkpoint Inhibitors</title>
<p>Tumor cells upregulate immune checkpoint molecules in the tumor microenvironment to suppress the immune system&#x2019;s anti-cancer response. As a result, blocking immunological checkpoints with selective monoclonal antibodies is predicted to inverse the inhibition of tumor-specific immune cells like T cells and natural killer cells. Checkpoint blockage, in particular, has been demonstrated to produce long-term effects; nonetheless, the response rate is lesser than that of targeted therapy. Currently licensed checkpoint inhibitors do not produce long-term therapeutic responses in over 80% of cancer patients when administered as monotherapy. As a result, one of checkpoint therapy&#x2019;s limitations is the scarcity of activated T cells that can respond to it. Furthermore, tumors that show an early response to checkpoint therapy may grow resistant to it, reducing therapeutic efficacy even further (<xref ref-type="bibr" rid="B51">51</xref>). Immune checkpoint blockades (ICB) (especially anti-PD-1/L1 treatments) combined with MEK and BRAF inhibitors are presently being studied in clinical trials. To establish the possible toxicity of any specific drug when used in combination therapy, long-term research is required. Multiple clinical trials have investigated at the blend of BRAF inhibitors with anti-CTLA-4 antibodies. In several studies, however, significant immune-related side effects were the main source of concern. In trials involving the combination of vemurafenib and ipilimumab, liver damage and severe cutaneous side effects were seen. Patients who got the triple combination of dabrafenib, trametinib, and ipilimumab developed severe colitis (NCT01767454). The combination of trametinib, durvalumab and dabrafenib showed encouraging disease response rates and tolerable safety profiles in a phase 1 trial (<xref ref-type="bibr" rid="B52">52</xref>). To define the sequencing and scheduling of the combination, swift growth of resistance to BRAF/MEK inhibitors, as well as their dynamic effects on the tumour microenvironment must be taken into account. When it comes to the combination of targeted therapies and ICB, there are certain obstacles that need to be addressed in the future (<xref ref-type="bibr" rid="B53">53</xref>).</p>
</sec>
<sec id="s6">
<title>Resistance to Targeted Therapy in NSCLC</title>
<p>Despite the advances made in cancer treatment over the last few decades, resistance to traditional anticancer agents and/or new targeted drugs remains a key issue in the field of oncology. Unfortunately, the initial therapeutic response to targeted kinase inhibitors is usually always transient, since these medications develop acquired resistance. In 40% of all human malignancies, the MAPK pathway is disrupted, owing to mutations in RAS (30%) and BRAF (10%) (<xref ref-type="bibr" rid="B54">54</xref>). MEK inhibitors were the initial drugs to be discovered, but despite their high selectivity and potency, they were mainly unsuccessful in clinical trials. This failure is due to the pathway&#x2019;s negative feedback amplifier feature, which autocorrects perturbations to the amplifier, i.e., MEK, in order to maintain ERK signaling (<xref ref-type="bibr" rid="B55">55</xref>). Patients acquire drug resistance after 10&#x2013;14 months of first-generation EGFR-TKI therapy, according to previous research (<xref ref-type="bibr" rid="B56">56</xref>). Amplification of MET, T790M (TK domain mutation) and mutation in RAS have all been identified as drug resistance mechanisms in first-generation EGFR-tyrosine kinase inhibitor in NSCLC (<xref ref-type="bibr" rid="B57">57</xref>). The most prevalent acquired resistance mutation in patients with NSCLC is the TK domain mutation (T790M) (<xref ref-type="bibr" rid="B58">58</xref>). Osimertinib, a third-generation TKI, recently improved outcomes in patients with this novel mutation (<xref ref-type="bibr" rid="B59">59</xref>). Other molecular resistance pathways have been identified, but more knowledge is needed to better understand and overcome resistance to EGFR-TKIs in the 40&#x2013;50% of patients who do not have the T790M mutation. Amplification of the MET gene, regardless of T790M mutation status, is the second most prevalent route of acquired resistance, affecting roughly 5&#x2013;20% of NSCLC patients during EGFR-TKI treatment. The emergence of mutations in KRAS, TP53, and CDKN2A has been hypothesized as a resistance mechanism to the BRAF inhibitor, dabrafenib in the clinics for BRAF mutated lung adenocarcinoma (<xref ref-type="bibr" rid="B60">60</xref>). In NSCLC, clear evidence of resistance to BRAF and MEK inhibitors are yet to be reported (<xref ref-type="bibr" rid="B61">61</xref>).Because cancers are virtually usually multiclonal and genetically heterogeneous, combination therapy is widely recommended. Single-drug therapeutic techniques are most likely to fail due to drug resistance, as the therapy kills sensitive cancer cells while allowing resistant cancer cells to live and multiply. Combination therapy, on the other hand, is more likely to target many driver genes at the same time, suppressing more clones in a tumour but also making future cancer mutations resistant to multi-drug treatment. Simultaneous multi-targeting, like previous advances in successful target drug therapy, will be more effective in overcoming drug resistance, improving anticancer efficacy and extending patients&#x2019; survival. Blocking the energy source of tumour cells is one technique for overcoming resistance. Tumors can circumvent any mechanism, but they cannot avoid the need for energy to fuel their growth, proliferation, and other activities including drug resistance and cell migration. However, therapeutic effects are inextricably linked to the composition/unique resistance profile of malignancies, as well as the toxicity tolerance of patients, making therapeutic outcomes difficult to forecast. Fighting drug resistance appears to be an ongoing game because cancer cells can always discover new strategies to get around present treatment (<xref ref-type="bibr" rid="B62">62</xref>).</p>
</sec>
<sec id="s7">
<title>Drug Repurposing</title>
<p>Drug repurposing, also called repositioning, is an approach to find novel applications for used medications or the ones that failed due to a lack of efficacy rather than developing new molecules (<italic>de novo</italic> drug development). When compared to the traditional drug development process, repurposing has many benefits, the two most important of which are a reduced risk of failure due to safety and a shorter development time. From concept to market, the total cost of producing a new drug is projected to be $1.8 to 2.6 billion. Additionally, the entire process will take 10&#x2013;15 years. Approval of drugs <italic>via</italic> the repurposing route is expected to take 3&#x2013;12 years and cost $40&#x2013;80 million, which is considerably less than the traditional method of drug development (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>). Furthermore, the approval rate of drugs developed through the repurposing route is projected to be 30%, compared to 10% for drugs developed through the traditional route. The safety and adverse reactions of approved drug libraries, along with the secondary targets of FDA-approved drugs, can be effortlessly screened using genomics, metabolomics, systems biology, knowledge about signal transduction pathways, and by using deep-data mining techniques (<xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>By combining statistical modelling, clinical and pharmacological evidence, and experimental trials, computer-assisted drug repurposing has the potential to quickly assess the majority of features based on safety and efficacy (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Many analytical methods based on diverse data formats and approaches have been presented in cancer-related drug repurposing literature. From traditional statistical approaches to cut-ting-edge machine learning techniques, there are a variety of methodologies to choose from (<xref ref-type="bibr" rid="B66">66</xref>). <italic>In silico</italic> drug repurposing may further increase the efficacy of personalized targeted cancer therapies. Modern oncology faces several challenges, one of which is to offer personalized and targeted cancer treatments with the aim of reducing drug toxicity and increasing each patient&#x2019;s response rate (<xref ref-type="bibr" rid="B67">67</xref>). <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows a list of <italic>in silico</italic> resources used for identifying potential repurposing candidates for NSCLC targeted therapy.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The process of repurposing a drug for a new indication. Target based drug repurposing: Potent drug candidates targeting NSCLC can be predicted through <italic>in silico</italic> target-based drug repurposing approach based on several databases, tools and software. Then anticancer properties of predicted drugs can be validated <italic>in vitro via</italic> several cell-based assays for cancer followed by <italic>in vivo</italic> animal models. Further validation is done in clinical trials (phases 2 &amp; 3 only) and then the drugs to be repurposed can be approved by FDA for clinical usage on the market.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-741326-g006.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>List of avail1able tools/databases/software for <italic>in silico</italic> drug repurposing approach.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Tools/Databases/Software</th>
<th valign="top" align="center">Links</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>I. Drug Target 3D Structure and Sequence Database</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;RCSB Protein Data Bank (PDB)</p>
</list-item>
<list-item>
<p>&#x27a2;GeneCards<sup>&#xae;</sup>: The Human Gene Database</p>
</list-item>
<list-item>
<p>&#x27a2;The Human Protein Atlas</p>
</list-item>
<list-item>
<p>&#x27a2;Pharos</p>
</list-item>
<list-item>
<p>&#x27a2;Therapeutic Target Database (TTD)</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.rcsb.org/">https://www.rcsb.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.genecards.org/">https://www.genecards.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.proteinatlas.org/">https://www.proteinatlas.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://pharos.nih.gov/">https://pharos.nih.gov/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://db.idrblab.net/ttd/">http://db.idrblab.net/ttd/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>II. Protein Modelling</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;SWISS-MODEL</p>
</list-item>
<list-item>
<p>&#x27a2;Phyre2</p>
</list-item>
<list-item>
<p>&#x27a2;I-TASSER</p>
</list-item>
<list-item>
<p>&#x27a2;MODELLER</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://swissmodel.expasy.org/">https://swissmodel.expasy.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index">http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://zhanglab.ccmb.med.umich.edu/I-TASSER/">https://zhanglab.ccmb.med.umich.edu/I-TASSER/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://salilab.org/modeller/">https://salilab.org/modeller/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>III. Protein Refinement and Optimization</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;GalaxyRefine</p>
</list-item>
<list-item>
<p>&#x27a2;ModRefiner</p>
</list-item>
<list-item>
<p>&#x27a2;3Drefine</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<ext-link ext-link-type="uri" xlink:href="http://galaxy.seoklab.org/cgi%20bin/submit.cgi?type=REFINE">http://galaxy.seoklab.org/cgi%20bin/submit.cgi?type=REFINE</ext-link> <ext-link ext-link-type="uri" xlink:href="https://zhanglab.dcmb.med.umich.edu/ModRefiner/">https://zhanglab.dcmb.med.umich.edu/ModRefiner/</ext-link>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://sysbio.rnet.missouri.edu/3Drefine/">http://sysbio.rnet.missouri.edu/3Drefine/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>IV. Protein Validation</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;MolProbity</p>
</list-item>
<list-item>
<p>&#x27a2;ProSA-web</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="http://molprobity.biochem.duke.edu/">http://molprobity.biochem.duke.edu/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://prosa.services.came.sbg.ac.at/prosa.php">https://prosa.services.came.sbg.ac.at/prosa.php</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>V. Pathway Information</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;KyotoEncyclopediaof Genes and Genomes (KEGG)</p>
</list-item>
<list-item>
<p>&#x27a2;Cytoscape</p>
</list-item>
<list-item>
<p>&#x27a2;Reactome</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.genome.jp/kegg/pathway.html">https://www.genome.jp/kegg/pathway.html</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://cytoscape.org/">https://cytoscape.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://reactome.org/">https://reactome.org/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>VI. Target Binding Site Prediction</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;GalaxySite</p>
</list-item>
<list-item>
<p>&#x27a2;COACH</p>
</list-item>
<list-item>
<p>&#x27a2;CASTp</p>
</list-item>
<list-item>
<p>&#x27a2;3DligandSite</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="http://galaxy.seoklab.org/cgi-bin/submit.cgi?type=SITE">http://galaxy.seoklab.org/cgi-bin/submit.cgi?type=SITE</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://zhanglab.dcmb.med.umich.edu/COACH/">https://zhanglab.dcmb.med.umich.edu/COACH/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://sts.bioe.uic.edu/castp/index.html?2pk9">http://sts.bioe.uic.edu/castp/index.html?2pk9</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://www.sbg.bio.ic.ac.uk/~3dligandsite/">http://www.sbg.bio.ic.ac.uk/~3dligandsite/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>VII. Drug/Small Molecule Databases</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;DrugBank</p>
</list-item>
<list-item>
<p>&#x27a2;PubChem</p>
</list-item>
<list-item>
<p>&#x27a2;Therapeutic Target Database (TTD)</p>
</list-item>
<list-item>
<p>&#x27a2;ZINC</p>
</list-item>
<list-item>
<p>&#x27a2;ChEMBL</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://go.drugbank.com/">https://go.drugbank.com/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://pubchem.ncbi.nlm.nih.gov/">https://pubchem.ncbi.nlm.nih.gov/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://db.idrblab.net/ttd/">http://db.idrblab.net/ttd/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://zinc.docking.org/">https://zinc.docking.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.ebi.ac.uk/chembl/">https://www.ebi.ac.uk/chembl/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>VIII. FDA Label Information</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;Pharmacognetics knowledge base (PharmaGKB)</p>
</list-item>
<list-item>
<p>&#x27a2;FDA Label Search</p>
</list-item>
<list-item>
<p>&#x27a2;DailyMed</p>
</list-item>
<list-item>
<p>&#x27a2;ClinicalTrials.gov</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.pharmgkb.org/">https://www.pharmgkb.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://labels.fda.gov/">https://labels.fda.gov/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://dailymed.nlm.nih.gov/dailymed/">https://dailymed.nlm.nih.gov/dailymed/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://clinicaltrials.gov/ct2/home">https://clinicaltrials.gov/ct2/home</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>IX. Drug-target Association</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;Connectivity Map</p>
</list-item>
<list-item>
<p>&#x27a2;STRING</p>
</list-item>
<list-item>
<p>&#x27a2;PharmGKB</p>
</list-item>
<list-item>
<p>&#x27a2;ChemMapper</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://clue.io/repurposing-app">https://clue.io/repurposing-app</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://string-db.org/">https://string-db.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.pharmgkb.org/">https://www.pharmgkb.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://lilab-ecust.cn/chemmapper/">http://lilab-ecust.cn/chemmapper/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>X. Clinical Trial Information and Adverse Effects</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;SIDER</p>
</list-item>
<list-item>
<p>&#x27a2;Drug Side Effects</p>
</list-item>
<list-item>
<p>&#x27a2;DailyMed</p>
</list-item>
<list-item>
<p>&#x27a2;ADVERPred</p>
</list-item>
<list-item>
<p>&#x27a2;SuperDRUG2</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<ext-link ext-link-type="uri" xlink:href="http://ffects.embl.de/">http://ffects.embl.de/</ext-link>
</p>
</list-item>
<list-item>
<p>
<ext-link ext-link-type="uri" xlink:href="https://www.drugs.com/sfx/">https://www.drugs.com/sfx/</ext-link>
</p>
</list-item>
<list-item>
<p>
<ext-link ext-link-type="uri" xlink:href="https://dailymed.nlm.nih.gov/dailymed/index.cfm">https://dailymed.nlm.nih.gov/dailymed/index.cfm</ext-link>
</p>
</list-item>
<list-item>
<p>
<ext-link ext-link-type="uri" xlink:href="http://www.way2drug.com/adverpred/">http://www.way2drug.com/adverpred/</ext-link>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://cheminfo.charite.de/superdrug2/index.html">http://cheminfo.charite.de/superdrug2/index.html</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XI. ADMET Prediction</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;ADMETlab</p>
</list-item>
<list-item>
<p>&#x27a2;SwissADME</p>
</list-item>
<list-item>
<p>&#x27a2;CLC-Pred</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="http://admet.scbdd.com/">http://admet.scbdd.com/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://www.swissadme.ch/">http://www.swissadme.ch/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://way2drug.com/Cell-line/">http://way2drug.com/Cell-line/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XII. Screening</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;SwissSimilarity</p>
</list-item>
<list-item>
<p>&#x27a2;PASSonline</p>
</list-item>
<list-item>
<p>&#x27a2;ZincPharmer</p>
</list-item>
<list-item>
<p>&#x27a2;Docking-based Virtual Screening (DOVIS)</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="http://www.swisssimilarity.ch/">http://www.swisssimilarity.ch/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://way2drug.com/PassOnline/pe.php">http://way2drug.com/PassOnline/pe.php</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://zincpharmer.csb.pitt.edu/">http://zincpharmer.csb.pitt.edu/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://bhsai.org/software/">http://bhsai.org/software/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XIII. Docking Software</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Free</bold>
</td>
<td valign="top" align="center">
<bold>Paid</bold>
</td>
<td valign="top" rowspan="1" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;AutoDock</p>
</list-item>
<list-item>
<p>&#x27a2;AutoDock Vina</p>
</list-item>
<list-item>
<p>&#x27a2;UCSF DOCK</p>
</list-item>
<list-item>
<p>&#x27a2;SwissDock</p>
</list-item>
<list-item>
<p>&#x27a2;PyRx</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;GOLD</p>
</list-item>
<list-item>
<p>&#x27a2;Glide</p>
</list-item>
<list-item>
<p>&#x27a2;Cdocker</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="http://autodock.scripps.edu/">http://autodock.scripps.edu/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://vina.scripps.edu/">http://vina.scripps.edu/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://dock.compbio.ucsf.edu/">http://dock.compbio.ucsf.edu/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://www.swissdock.ch/">http://www.swissdock.ch/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://pyrx.sourceforge.io/">https://pyrx.sourceforge.io/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.ccdc.cam.ac.uk/solutions/csd-discovery/Components/Gold/">https://www.ccdc.cam.ac.uk/solutions/csd-discovery/Components/Gold/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.schrodinger.com/products/glide">https://www.schrodinger.com/products/glide</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.3ds.com/products-services/biovia/">https://www.3ds.com/products-services/biovia/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XIV. Analysis of Protein-Ligand Interactions</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;UCSF Chimera</p>
</list-item>
<list-item>
<p>&#x27a2;Maestro</p>
</list-item>
<list-item>
<p>&#x27a2;Discovery Studio Visualizer</p>
</list-item>
<list-item>
<p>&#x27a2;PyMol</p>
</list-item>
<list-item>
<p>&#x27a2;Protein-Ligand Interaction Profiler</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.cgl.ucsf.edu/chimera/">https://www.cgl.ucsf.edu/chimera/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.schrodinger.com/products/maestro">https://www.schrodinger.com/products/maestro</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://discover.3ds.com/discovery-studio-visualizer-download">https://discover.3ds.com/discovery-studio-visualizer-download</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://pymol.org/2/">https://pymol.org/2/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://plip-tool.biotec.tu-dresden.de/plip-web/plip/index">https://plip-tool.biotec.tu-dresden.de/plip-web/plip/index</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XV. Molecular Simulation and Dynamics</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Free</bold>
</td>
<td valign="top" align="center">
<bold>Paid</bold>
</td>
<td valign="top" rowspan="1" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;GROMACS</p>
</list-item>
<list-item>
<p>&#x27a2;NAMD</p>
</list-item>
<list-item>
<p>&#x27a2;Simlab WEBGRO</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;BIOVIA Discovery Studio Simulations</p>
</list-item>
<list-item>
<p>&#x27a2;Desmond</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="http://www.gromacs.org/">http://www.gromacs.org/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://www.ks.uiuc.edu/Research/namd/">http://www.ks.uiuc.edu/Research/namd/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://simlab.uams.edu/ProteinWithLigand/protein_with_ligand.html">https://simlab.uams.edu/ProteinWithLigand/protein_with_ligand.html</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.3ds.com/products-services/biovia/products/molecular-modeling-simulation/biovia-discovery-studio/simulations/">https://www.3ds.com/products-services/biovia/products/molecular-modeling-simulation/biovia-discovery-studio/simulations/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.schrodinger.com/products/desmond">https://www.schrodinger.com/products/desmond</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XVI. Cancer-related Database and Tools</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;The Cancer Genome Atlas (TCGA)</p>
</list-item>
<list-item>
<p>&#x27a2;DRUGSURV</p>
</list-item>
<list-item>
<p>&#x27a2;IntOGen</p>
</list-item>
<list-item>
<p>&#x27a2;Cancer Cell Line Encyclopaedia (CCLE)</p>
</list-item>
<list-item>
<p>&#x27a2;CellMiner</p>
</list-item>
<list-item>
<p>&#x27a2;OncoPPi Portal</p>
</list-item>
<list-item>
<p>&#x27a2;TNMplot</p>
</list-item>
<list-item>
<p>&#x27a2;canSAR Black</p>
</list-item>
<list-item>
<p>&#x27a2;The Cancer Therapeutics Response Portal (CTRP)</p>
</list-item>
<list-item>
<p>&#x27a2;The PRISM drug repurposing resource</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga">https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://www.bioprofiling.de/cgi-bin/GEO/DRUGSURV/start_CANCER.pl">http://www.bioprofiling.de/cgi-bin/GEO/DRUGSURV/start_CANCER.pl</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.intogen.org/search">https://www.intogen.org/search</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://portals.broadinstitute.org/ccle">https://portals.broadinstitute.org/ccle</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://discover.nci.nih.gov/cellminer/home.do">https://discover.nci.nih.gov/cellminer/home.do</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://oncoppi.emory.edu/index.php?navigation=home&amp;location=home">http://oncoppi.emory.edu/index.php?navigation=home&amp;location=home</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.tnmplot.com/">https://www.tnmplot.com/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://cansarblack.icr.ac.uk/">https://cansarblack.icr.ac.uk/</uri>
</p>
</list-item>
<list-item>
<p>
<ext-link ext-link-type="uri" xlink:href="https://portals.broadinstitute.org/ctrp/?page=">https://portals.broadinstitute.org/ctrp/?page=#ctd2BodyHome</ext-link>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://depmap.org/repurposing/">https://depmap.org/repurposing/</uri>
</p>
</list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>XVII. Drug Repurposing Servers</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">
<list list-type="simple">
<list-item>
<p>&#x27a2;PROMISCUOUS 2.0</p>
</list-item>
<list-item>
<p>&#x27a2;repoDB</p>
</list-item>
<list-item>
<p>&#x27a2;The Drug Repurposing Hub</p>
</list-item>
<list-item>
<p>&#x27a2;ReDO-DB</p>
</list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="simple">
<list-item>
<p>
<uri xlink:href="https://bioinformatics.charite.de/promiscuous2/">https://bioinformatics.charite.de/promiscuous2/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="http://apps.chiragjpgroup.org/repoDB/">http://apps.chiragjpgroup.org/repoDB/</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://clue.io/repurposing-app">https://clue.io/repurposing-app</uri>
</p>
</list-item>
<list-item>
<p>
<uri xlink:href="https://www.anticancerfund.org/en/redo-db">https://www.anticancerfund.org/en/redo-db</uri>
</p>
</list-item>
</list>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s8">
<title>Drugs Repurposed for Treatment of NSCLC</title>
<p>Various drugs have been approved by the US FDA for NSCLC targeted therapy. These treatments have been focused on the BRAF and KRAS mutations, oncogenic EGFR mutations, HER2/ERBB2 mutations, HGFR/MET alterations, ROS1 (pro-to-oncogene receptor tyrosine kinase) and ALK fusion for the past few years (<xref ref-type="bibr" rid="B68">68</xref>).</p>
<p>The number of therapeutic improvements has been lower than projected despite advancements in treatment techniques and overall knowledge of cancer heterogeneity. Significant investments in drug development have been prompted by the limited success of current medicines in advanced phases. The desire for more effective anti-cancer treatments has generated a surge in drug repurposing research. The target-based approach for drug repurposing has been a potent technology that is integrated with high-quality, real-time drug testing for a protein or biomarker. By pulling documents from journals like PubMed central and Elsevier, we were able to compile the details of repurposing candidates, specifically for the treatment of NSCLC, described in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Details of drugs reported to be repurposed for NSCLC therapy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Sl.no.</th>
<th valign="top" align="center">Drug</th>
<th valign="top" align="center">Original indication</th>
<th valign="top" align="center">Mechanism of new indication for cancer</th>
<th valign="top" align="center">Remarks</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.</td>
<td valign="top" align="left">Dilsulfiram (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">Anti-alcoholism drug</td>
<td valign="top" align="left">Elimination of cancer stem cells (CSCs) and reduction of chemoresistance in cancer cell lines that are resistant to chemotherapy.</td>
<td valign="top" align="left">Clinical trials phase III (NCT00312819)</td>
</tr>
<tr>
<td valign="top" align="left">2.</td>
<td valign="top" align="left">Nelfinavir (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="left">HIV-1 protease inhibitor</td>
<td valign="top" align="left">In this disease, nelfinavir may improve the efficacy of routine chemoradiotherapy. This drug Inhibits PI3K/AKT signaling and sensitizes tumor cells to killing by ionizing radiation.</td>
<td valign="top" align="left">Clinical trials phase II (NCT00589056)</td>
</tr>
<tr>
<td valign="top" align="left">3.</td>
<td valign="top" align="left">Ganetespib (<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="left">Heat Shock Protein 90 inhibitor</td>
<td valign="top" align="left">With a response rate of 50% in individuals with ALK-rearranged illness, ganetespib exhibited promising single-agent efficacy.</td>
<td valign="top" align="left">Clinical trials phase II-(NCT01031225)</td>
</tr>
<tr>
<td valign="top" align="left">4.</td>
<td valign="top" align="left">Dasatinib and Osimertinib (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="left">TKI for chronic myeloid leukemia (CML) + NSCLC kinase inhibitor</td>
<td valign="top" align="left">Combination of TKI and a Src inhibitor are synergistic in Cripto-1 overexpressing tumors in the laboratory.</td>
<td valign="top" align="left">Clinical trials phase II (NCT02954523)</td>
</tr>
<tr>
<td valign="top" align="left">5.</td>
<td valign="top" align="left">Verapamil (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="left">Calcium channel blocker</td>
<td valign="top" align="left">Chemo resistant lung cancer cells are efficiently sensitized to death by autophagy burst and apoptosis by Verapamil with Docetaxel/Vincristine.</td>
<td valign="top" align="left">Randomized Clinical study</td>
</tr>
<tr>
<td valign="top" align="left">6.</td>
<td valign="top" align="left">Hydroxychloroquine + chemotherapy (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="left">Anti-malarial drug</td>
<td valign="top" align="left">In advanced NSCLC, adding hydroxychloroquine is safe and tolerated, and autophagy inhibition may alleviate chemotherapy resistance.</td>
<td valign="top" align="left">Clinical trials phase II (NCT01649947)</td>
</tr>
<tr>
<td valign="top" align="left">7.</td>
<td valign="top" align="left">Artemisinin and its derivatives</td>
<td valign="top" align="left">Anti-malarial drug</td>
<td valign="top" align="left">In A549 and H1299 cells, cell proliferation was inhibited by artesunate, artemisinin and dihydroartemisinin <italic>via</italic> cell cycle arrest in the G1 phase.<break/>Also, apoptosis was induced by dihydroartemisinin in A549 cells (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>).<break/>In ABT-263 NSCLC cells with EGFR or Ras mutations, dihydroartemisinin inhibited STAT3 phosphorylation and activation, lowering surviving levels (<xref ref-type="bibr" rid="B79">79</xref>).</td>
<td valign="top" align="left">
<italic>In vitro</italic> and <italic>in vivo</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">8.</td>
<td valign="top" align="left">Ibuprofen + Cisplatin (<xref ref-type="bibr" rid="B80">80</xref>)</td>
<td valign="top" align="left">Non-steroidal anti-inflammatory drug</td>
<td valign="top" align="left">Decreased Heat shock protein 70 (Hsp70) expression and sensitized A549 cells originating from lung adenocarcinoma to cisplatin, accompanied by an increase in the mitochondrial apoptotic cascade.<break/>In lung adenocarcinoma cells, ibuprofen enhanced the antitumor effects of cisplatin through a mechanism involving Hsp70 suppression.</td>
<td valign="top" align="left">
<italic>In vitro</italic> and <italic>in vivo</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">9.</td>
<td valign="top" align="left">Metformin + Nivolumab (<xref ref-type="bibr" rid="B81">81</xref>)</td>
<td valign="top" align="left">Anti-diabetic drug + Immunotherapy</td>
<td valign="top" align="left">In NSCLC cells, metformin triggered apoptosis and significantly reduced the expression of c-FLIP<sub>L</sub>.</td>
<td valign="top" align="left">Clinical trials phase II (NCT03048500)</td>
</tr>
<tr>
<td valign="top" align="left">10.</td>
<td valign="top" align="left">Minocyclin (<xref ref-type="bibr" rid="B82">82</xref>)</td>
<td valign="top" align="left">Antibiotic</td>
<td valign="top" align="left">Reduction of adverse effects in NSCLC patients treated with chemoradiation.</td>
<td valign="top" align="left">Clinical trials phase II (NCT01636934)</td>
</tr>
<tr>
<td valign="top" align="left">11.</td>
<td valign="top" align="left">Itraconazole (<xref ref-type="bibr" rid="B83">83</xref>)</td>
<td valign="top" align="left">Antifungal drug</td>
<td valign="top" align="left">Exhibits concentration-dependent early antivascular, metabolic, and antitumor effects in NSCLC patients.</td>
<td valign="top" align="left">Clinical trials phase II (NCT03664115)</td>
</tr>
<tr>
<td valign="top" align="left">12.</td>
<td valign="top" align="left">Pirfenidone + Chemotherapy (<xref ref-type="bibr" rid="B84">84</xref>)</td>
<td valign="top" align="left">Anti-fibrotic drug</td>
<td valign="top" align="left">In NSCLC cells (A549 and H157 cells), a combination of cisplatin and pirfenidone causes enhanced apoptosis and synergistic cell death.</td>
<td valign="top" align="left">Clinical trials phase I (NCT03177291)</td>
</tr>
<tr>
<td valign="top" align="left">13.</td>
<td valign="top" align="left">Sertraline + Erlotinib (<xref ref-type="bibr" rid="B85">85</xref>)</td>
<td valign="top" align="left">Antidepressant drug + TKI</td>
<td valign="top" align="left">In an orthotopic NSCLC mouse model, this combination inhibits tumour growth and extends mice longevity.</td>
<td valign="top" align="left">
<italic>In vitro</italic> and <italic>in vivo</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">14.</td>
<td valign="top" align="left">Quinacrine + Erlotinib (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B86">86</xref>)</td>
<td valign="top" align="left">Antimalarial drug+ TKI</td>
<td valign="top" align="left">Quinacrine inhibits the FACT (facilitates chromatin transcription) complex, which may play a role in resistance to TKI.</td>
<td valign="top" align="left">Clinical trials phase I (NCT01839955)</td>
</tr>
<tr>
<td valign="top" align="left">15.</td>
<td valign="top" align="left">Romidepsin + Erlotinib (<xref ref-type="bibr" rid="B87">87</xref>)</td>
<td valign="top" align="left">Anticancer drugs</td>
<td valign="top" align="left">Erlotinib is more effective when used with romidepsin. It inhibits the signaling pathways of Ras and MAPK, intracellular mediators that may lead to EGFR TKI resistance.</td>
<td valign="top" align="left">Clinical trials phase I (NCT01302808)</td>
</tr>
<tr>
<td valign="top" align="left">16.</td>
<td valign="top" align="left">Itraconazole + Pemetrexed (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B88">88</xref>)</td>
<td valign="top" align="left">Oral antifungal drug + Chemotherapy</td>
<td valign="top" align="left">In numerous primary xenograft lung cancer models, ittraconazole shows substantial anti-angiogenic activity and improves the efficiency of cytotoxic treatment.</td>
<td valign="top" align="left">Clinical trials phase I (NCT00769600)</td>
</tr>
<tr>
<td valign="top" align="left">17.</td>
<td valign="top" align="left">Nitroglycerin + Vinorelbine + Cisplatin (<xref ref-type="bibr" rid="B89">89</xref>)</td>
<td valign="top" align="left">A drug to treat angina + Chemotherapeutics</td>
<td valign="top" align="left">Improved overall survival of patients with untreated stage IIIB/IV non-squamous cell lung cancer</td>
<td valign="top" align="left">Phase II randomized trial</td>
</tr>
<tr>
<td valign="top" align="left">18.</td>
<td valign="top" align="left">Gefitinib+ Bevacizumab (<xref ref-type="bibr" rid="B90">90</xref>)</td>
<td valign="top" align="left">EGFR-TKI+ Antiangiogenic drug</td>
<td valign="top" align="left">First-line therapy in patients with EGFR mutant NSCLC with tolerable toxicity.</td>
<td valign="top" align="left">Clinical trials phase II (NCT04425187)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s9">
<title>Conclusion and Discussion</title>
<p>In this review, we presented an overview of drug repositioning for anti-cancer applications, with a focus on target-based non-cancer drug repurposing. Targeting the Ras/Raf/MEK/ERK is a promising and alternative method in NSCLC treatment, according to the information presented in this review. MAPK signaling pathways are a vital aspect of NSCLC and have aided in the advancement of therapies for this carcinoma. Learning more about this signaling is critical because of its significant functions in carcinogenesis and wide spectrum of crosstalk with major tumor-promoting signaling pathways.</p>
<p>Drug repurposing has the potential to alleviate the present drug shortage. There is an advantage to the use of many <italic>in silico</italic> techniques over individual methods, especially when dealing with massive amounts of data. We have provided the vital steps involved in an <italic>in silico</italic> drug repurposing pipeline to assist in guiding the pipeline and increase the success rate in this field. Furthermore, the utilization of non-oncology drugs has the potential to speed up the process of drug repurposing. Based on a broad understanding of these principles and related investigations on the current strategy over the last decade, we defined and evaluated previous non-oncology drugs as potential candidates for therapeutic repurposing. Alternative strategies, such as drug combination therapy, should be examined because they may have a better clinical success rate. Drug repurposing and drug combinations are two common methods for improving cancer treatment by lowering its toxicological profile and increasing its efficacy. Drug combination therapy frequently target various processes that contribute to cancer, such as downstream off-target, parallel pathways, or compensatory signaling. Future combinatorial drugs (either immune-therapies or targeted therapies) and an improved understanding on molecular biomarkers can lead to a cure (<xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>Although drug repurposing lowers the time and expenses of drug development, the benefits are confined to a specific process between preclinical and Phase II studies. Another issue to consider is the protection of the repositioned drugs&#x2019; intellectual property (IP), particularly for those medications that are no longer under patent. It&#x2019;s also unclear whether new anticancer indications require medication dosages, formulations, or administration routes that are identical to those utilized for the original indication. Extensive research on the safety of repurposed drugs with various doses and populations can help overcome these obstacles. Anticancer drugs have been effectively re-purposed from a variety of structurally and functionally varied drugs through a variety of mechanisms. Most non-cancer medications have few or tolerable side effects in humans, so repurposing non-cancer drugs for NSCLC therapy will be a promising strategy for the future. Further studies should focus on targeting the mutations of the Ras/Raf/MEK/ERK pathway.</p>
<p>Together, we&#x2019;ve made significant strides ahead in illustrating the repurposing potential for NSCLC by evaluating current sources from both research and clinical studies to find new uses for approved or unsuccessful medications. We anticipate that medicinal chemists will consider this review article incredibly useful in the future to generate new repurposed anti-cancer drugs from currently licensed non-cancer drugs. The hope is to significantly boost lung cancer cure rates, and the true challenge will be incorporating these drugs into the therapy of patients affected with NSCLC.</p>
</sec>
<sec id="s10" sec-type="author-contributions">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work, and approved it for publication.</p>
</sec>
<sec id="s11" 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="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The Authors acknowledge the support and infrastructure offered by the JSS Academy of Higher Education and Research (JSSAHER), Mysuru, India and the Director, Amrita Vishwa Vidyapeetham, Mysuru campus for infrastructure support. The authors acknowledge I.M. Sechenov First Moscow State Medical University (Sechenov University) and N.I. Pirogov Russian National Research Medical University (RNRMU), Russia for the support extended towards the collaboration.</p>
</ack>
<sec id="s13">
<title>Abbreviations</title>
<p>NSCLC, Non-Small Cell Lung Cancer; MAPK, Mitogen-Activated Protein Kinase; NIH, National Institutes of Health; FDA, Food and Drug Administration; EMA, European Medicines Agency; EGFR, Epidermal Growth Factor Receptor; PI3K, Phosphatidylinositol 3-Kinases; JNK, C-Jun N-terminal Kinase; KEGG, Kyoto Encyclopaedia of Genes and Genomes; EML4, Echinoderm Microtubule-Associated Protein-like 4; ALK, Anaplastic Lymphoma Kinase; RTK, Receptor Tyrosine Kinases; GF, Growth Factor; EGF, Epidermal Growth Factor; SHP2, Src homology region 2-containing protein tyrosine phosphatase 2; GRB2, Growth Factor Receptor Bound Protein 2); GDP, Guanosine Diphosphate; GTP, Guanosine Triphosphate; SOS, Son of Sevenless; HRas, Harvey Rat Sarcoma Viral Oncogene Homolog; NRas, Neuroblastoma Rat Sarcoma Viral Oncogene Homolog; KRas, Kirsten Rat Sarcoma Viral Oncogene Homolog; MEK, Mitogen-Activated Protein Kinase Kinase; ERK, Extracellular Signal-Regulated Kinase; HER2, Human Epidermal Growth Factor Receptor 2; HGFR, Hepatocyte Growth Factor Receptor.</p>
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