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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.2021.780655</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>Characterization With KRAS Mutant Is a Critical Determinant in Immunotherapy and Other Multiple Therapies for Non-Small Cell Lung Cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Mo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qi</surname>
<given-names>Rongbin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Justin</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lv</surname>
<given-names>Dongqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Haihua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</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/1021614"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Affiliated Taizhou Hospital of Wenzhou Medical University</institution>, <addr-line>Taizhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>The First Clinical Medical College of Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Respiratory Medicine, Enze Hospital, Affiliated Taizhou Hospital of Wenzhou Medical University</institution>, <addr-line>Taizhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Biological Sciences, Northwestern University, Evanston</institution>, <addr-line>Evanston, IL</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Radiation Oncology, Enze Hospital, Affiliated Taizhou Hospital of Wenzhou Medical University</institution>, <addr-line>Taizhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jian Zhang, Southern Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Chunwei Xu, Fujian Provincial Cancer Hospital, China; Lian Xiang Luo, Guangdong Medical University, China; Pingping Chen, University of Miami, United States; Arutha Kulasinghe, The University of Queensland, Australia</p>
</fn>
<fn fn-type="corresp" id="fn001">    <p>*Correspondence: Haihua Yang, <email xlink:href="mailto:yhh93181@hotmail.com">yhh93181@hotmail.com</email>; Dongqing Lv, <email xlink:href="mailto:lvdq@enzemed.com">lvdq@enzemed.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>780655</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Shen, Qi, Ren, Lv and Yang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Shen, Qi, Ren, Lv and Yang</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 frequent type of cancer, which is mainly characterized clinically by high aggressiveness and high mortality. KRAS oncoprotein is the most common molecular protein detected in NSCLC, accounting for 25% of all oncogenic mutations. Constitutive activation of the KRAS oncoprotein triggers an intracellular cascade in cancer cells, leading to uncontrolled cell proliferation of cancer cells and aberrant cell survival states. The results of multiple clinical trials have shown that different KRAS mutation subtypes exhibit different sensitivities to different chemotherapy regimens. Meanwhile, anti-angiogenic drugs have shown differential efficacy for different subtypes of KRAS mutated lung cancer. It was explored to find if the specificity of the KRAS mutation subtype would affect PD-L1 expression, so immunotherapy would be of potential clinical value for the treatment of some types of KRAS mutations. It was discovered that the specificity of the KRAS mutation affected PD-L1, which opened up immunotherapy as a potential clinical treatment option. After several breakthrough studies, the preliminary test data of many early clinical trials showed that it is possible to directly inhibit KRAS G12C mutation, which has been proved to be a targeted treatment that is suitable for about 10%&#x2013;12% of patients with advanced NSCLC, having a significant impact on the prolongation of their survival and the improvement of their quality of life. This article reviews the latest progress of treatments for NSCLC with KRAS mutation, in order to gain insight into the biological diversity of lung cancer cells and their potential clinical implications, thereby enabling individualized treatment for patients with KRAS-mutant NSCLC.</p>
</abstract>
<kwd-group>
<kwd>KRAS</kwd>
<kwd>NSCLC</kwd>
<kwd>chemotherapy</kwd>
<kwd>immunotherapy</kwd>
<kwd>targeted therapy</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="162"/>
<page-count count="17"/>
<word-count count="7572"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Lung cancer is one of the leading causes of cancer death in the world with 1.8 million deaths every year. The 5-year survival rate for patients with lung cancer is approximately 20% (<xref ref-type="bibr" rid="B1">1</xref>). Non-small cell lung cancer (NSCLC) accounts for 80%&#x2013;85% of the total number of lung cancer cases (<xref ref-type="bibr" rid="B2">2</xref>). Through recent research, there has been great advancement in the treatment of NSCLC patients with epidermal growth factor receptor (EGFR) mutation and anaplastic lymphoma receptor tyrosine kinase (ALK) rearrangement (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). However, effective treatments for kirsten rat sarcoma viral oncogene homolog (KRAS) mutations have not been developed. KRAS mutations are found in 25%&#x2013;50% of Caucasian NSCLC patients and 5%&#x2013;10% of Asian NSCLC patients (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). In patients with stage IV NSCLC, the results of platinum-based chemotherapy as the first form of treatment are very poor. It is obviously necessary to improve the treatment methods and provide individualized treatment for each patient (<xref ref-type="bibr" rid="B11">11</xref>). The NSCLC molecular spectrum is the key factor in treatment decision-making. There are many emerging carcinogenic targets and active targeted drugs. Somatic mutation of EGFR and rearrangement of ALK, proto-oncogene tyrosine protein kinase (ROS1), and proto-oncogene (RET) are supposed to be dependable biomarkers and effective drug targets for NSCLC (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). However, the rat sarcoma viral oncogene homolog (RAS) family is the most common mutated oncogene, yet this oncogene has been defined as untreatable. Despite more than 40 years of basic and clinical research, there is still no effective anti-RAS therapy in the actual clinical diagnosis and treatment process. In recent years, targeted therapy and immunotherapy have been booming. At the same time, direct KRAS targeting and KRAS-related immunotherapy have also made great progress (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). This paper will look to review the biological basis of KRAS mutations in NSCLC and discuss the potential causes of previous failures. Additionally, this paper will analyze the therapeutic effects of chemotherapy, targeted therapy, and immunotherapy in clinical practice and look to provide individualized treatment strategies for patients with KRAS mutations in lung cancer.</p>
</sec>
<sec id="s2">
<title>KRAS Biology</title>
<sec id="s2_1">
<title>KRAS Function</title>
<p>KRAS is a member of the RAS oncogene family and encodes a small membrane-bound GTPase that toggles between a bound state of active guanosine triphosphate (GTP) and a bound state of inactive guanosine diphosphate (GDP) (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). RAS proteins act like cellular switches that are controlled by stimuli, and when stimulated, in the GTP-bound form, these proteins activate diverse signaling pathways that regulate elemental cellular processes (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>The activation of RAS signaling is strictly controlled by the regulatory factors that promote GDP&#x2013;GTP exchange (guanine nucleotide exchange factors (GEFs)) or affect GTPase activity (GTPase-activating proteins (GAPs)). GEFs and GAPs are capable of binding to one or two pockets on RAS proteins, termed switch I and switch II regions, respectively. The former enhances the GDP release from RAS and stimulates its replacement by GTP, leading to RAS activation; the latter increases the inherent GTPase activity of RAS, leading to the rapid active&#x2013;inactive transition of RAS state (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The main functional difference between mutant RAS oncoproteins and normal RAS oncoproteins is that mutant oncogene weakens the ability of RAS proteins to hydrolyze GTP (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). The RAS mutant oncoprotein is locked in a state of constitutive GTP-bound activity, leading to uncontrolled cell proliferation and survival (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Therefore, RAS proteins are one of the mutant cellular proteins that were proven to be the driving force in human cancer. However, RAS proteins have not succumbed to any kind of targeted therapy and have even been known as &#x201c;undruggable&#x201d; for many years. This is because RAS proteins do not seem to provide suitable pockets that allow drug binding, except for their GDP/GTP binding sites. Unfortunately, what binds RAS proteins to these nucleotides is picomolar affinity, with very slow off-rates. In addition, GTPase signaling is mediated by protein&#x2013;protein interactions (PPIs) involving extended and shallow surfaces. The tight binding and the high intracellular concentration of GTP make the identification of competitive nucleotide analogs seem almost impossible for a long time (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). Cysteine 12-modifying KRAS inhibitors that impair RAF binding and downstream signals (<xref ref-type="bibr" rid="B29">29</xref>); quinazoline-based compounds and guanosine mimetic inhibitors that suppress GTP loading of KRAS G12C and cell proliferation (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>); and allele-specific inhibitors that inhibit mutant KRAS-driven signaling by binding to the GDP-bound oncoprotein and preventing activation (<xref ref-type="bibr" rid="B32">32</xref>) are all recent discoveries that have started to shift the common perception that RAS proteins are undruggable.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>KRAS function and its main downstream pathways. This diagram is a summary of KRAS oncogenic mutations that impair its activity to hydrolyze GTP, thereby activating three major signaling pathways that mediate basic cellular processes. KRAS, kirsten rat sarcoma viral oncogene homolog; Gh2, growth hormone 2; SOS, Son of Sevenless; GTP, guanosine triphosphate; GDP, guanosine diphosphate; GAPs, GTPase-activating proteins; PI3K, phosphoinositide 3-kinase; Akt/PKB, protein kinase B; BAD, BCL-2/BCL-XL-associated death promoter; CASP9, Recombinant Caspase 9; PIP3, phosphatidyl inositol triphosphate; PDK1, 3-phosphoinositide dependent kinase-1; RASSF1, Ras association domain family 1; MST1, human macrophage stimulation 1; Raf, rat fibrosarcoma; MEK, mitogen-activated protein kinase kinase; ERK, extracellular regulated kinase; NORE1A, Ras-association domain family 5.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-780655-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Downstream Effector Pathways</title>
<p>In addition to binding to GTP, RAS proteins must also establish a connection with the cell membrane to interact with GEF and other upstream regulators, such as EGFR, fibroblast growth factor receptor (FGFR), and human EGFR 2-4 (HER2-4/ERBB2-4). This happens so that extracellular signals can be transmitted to downstream signaling pathways (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>The biological effects of RAS depend on the signaling network it regulates. In this way, it is pivotal to understand not only the activation mode of RAS but also the mechanism of its downstream molecular effectors (<xref ref-type="bibr" rid="B33">33</xref>). There are more than ten reported RAS effectors implicated in multiple signaling cascades, including the canonical rat fibrosarcoma/mitogen-activated protein kinase/extracellular regulated kinase (Raf&#x2013;MEK&#x2013;ERK) pathway, a common overactivated pathway in cancer, which causes abnormal proliferation of cells by regulating the cell cycle. RAS also activates phosphoinositide 3-kinase/protein kinase B (PI3K&#x2013;Akt/PKB) signaling, which plays a pivotal role in RAS protein-mediated antiapoptosis (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The RAS association domain family 1 (RASSF1) pathway is another RAS downstream effector pathway that is required for RAS-dependent apoptosis reduction and proliferation (<xref ref-type="bibr" rid="B36">36</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<p>In brief, RAS proteins play important roles in regulating cell proliferation, differentiation, and apoptosis by regulating signal transduction through different effectors that control diverse cellular functions. Constitutive activation of RAS oncoproteins initiates intracellular cascade reactions in the absence of extracellular signaling. This can lead to unlimited cell proliferation and aberrant cell survival. The deregulation of these cellular functions gives rise to hallmarks of cancer formation of various specificities (<xref ref-type="bibr" rid="B37">37</xref>).</p>
</sec>
<sec id="s2_3">
<title>KRAS Mutations</title>
<p>KRAS oncogenes are mainly mutations in exons 2, 3, and 4, which cause constitutive activation of the mitogen-activated protein kinase (MAPK) pathway. Approximately 90% of KRAS mutations occur at codon 12 (exon 2). This is especially noticeable in patients with NSCLC. The most common allele variants are G12C (GGT&#x2013;TGT) and G12V (GGT&#x2013;GTT), which are caused by classical smoking transformed from a G:C&#x2013;T:A (<xref ref-type="bibr" rid="B38">38</xref>). The bioactive function of KRAS is related to the protein structure that depends on the bound state to GTP. Notably, KRAS mutations are heterogeneous and primarily involve substitutions in codons 12, 13, or 61 (<xref ref-type="bibr" rid="B39">39</xref>). In particular, G12 is situated on the p-ring and is involved in assisting nucleotide stability during activation, resulting in changes in intrinsic hydrolysis and gap-induced hydrolysis without changing the rate of nucleotide exchange (<xref ref-type="bibr" rid="B40">40</xref>). KRAS G12C and G12D are the most common types of mutations in lung cancer patients, accounting for 33.6% and 23.9% of total KRAS mutations, respectively. Other types of KRAS mutations are G12V (22.1%), G12A (7.1%), Q61H (5.3%), G13D (3.5%), Q13C (1.8%), G12S (1.8%), and G61R (0.9%) (<xref ref-type="bibr" rid="B41">41</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Percentage of various mutant subtypes of KRAS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-780655-g002.tif"/>
</fig>
<p>Specific KRAS mutations have unique biological characteristics. For example, although substitutions of KRAS G12, G13, and Q61 attenuate GTP hydrolysis capacity, other mutations such as KRAS A146T maintained hydrolysis levels&#xa0;similar to wild-type (WT) KRAS. The A146T substitution likely promotes KRAS-GTP formation in the form of increased nucleotide exchange, thereby reducing this isoform&#x2019;s oncogenic capacity (<xref ref-type="bibr" rid="B42">42</xref>). Different types of KRAS mutations also cause differences in downstream signaling pathways. Basic experimental analysis revealed that lung cancer cell lines harboring KRAS G12C or KRAS G12V mutations exhibited increased Ras-related protein (RAL) A/B signaling but decreased PI3K/Akt signaling compared with other KRAS mutant isoforms or WT cell lines (<xref ref-type="bibr" rid="B43">43</xref>). Contrarily, cell lines containing KRAS G12D were more likely to activate the PI3K&#x2013;Akt pathway (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B44">44</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Impact of G12C and G12D mutations on KRAS downstream pathways compared with wild type. <bold>(A)</bold> Activated KRAS wild-type signals the Ral A/B, PI3K, and RAF pathways. <bold>(B)</bold> KRAS G12D preferentially activates the PI3K and RAF pathways. <bold>(C)</bold> KRAS G12C preferentially activates the Ral A/B and RAF pathways.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-780655-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s3">
<title>Current Approaches of KRAS-Mutant Non-Small Cell Lung Cancer and Their Efficacy in Different Subtypes</title>
<p>Although KRAS is one of the earliest oncogenic driver genes detected to date, no therapies have been found that effectively target KRAS mutations. Numerous therapeutic strategies have been developed including but not limited to chemotherapy, anti-angiogenic therapy, immunotherapy, blockage of downstream, and direct targeting of KRAS (<xref ref-type="bibr" rid="B18">18</xref>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). However, the vast majority of treatments have not been studied for individual KRAS mutation subtypes. In all subtypes of KRAS-mutant NSCLC, mutations occur primarily at codon 12 (&gt;80%) and 13 (15%). Additionally, KRAS-G12C mutation accounts for approximately 39% of all KRAS mutants. Other frequently occurring mutations involve KRAS G12V (18%&#x2013;21%) and KRAS G12D (17%&#x2013;18%) variants (<xref ref-type="bibr" rid="B17">17</xref>). Further efforts are dedicated to elucidating the impact of different KRAS mutation subtypes in lung cancer patients on treatment efficacy. Different signaling and drug sensitivity patterns among these subtypes have been determined by preclinical studies, which suggested that differences may occur at the level of amino acid substitution (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Therefore, we reviewed the efficacy of the above treatments in different subtypes, aiming to provide ideas for personalized therapies of KRAS-mutant NSCLC (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Current approaches of KRAS-mutant NSCLC. NSCLC, non-small cell lung cancer; KRAS, kirsten rat sarcoma viral oncogene homolog; PD-1, programmed cell death protein 1; PD-L1, programmed cell death-ligand 1; CTLA4, cytotoxic T-lymphocyte-associated protein 4; Raf, rat fibrosarcoma; MEK, mitogen-activated protein kinase kinase; PI3K, phosphoinositide 3-kinase; Akt/PKB, protein kinase B.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-780655-g004.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of clinical trials investigating the outcome of different KRAS mutation subtypes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Pts</th>
<th valign="top" colspan="6" align="center">KRAS status</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Endpoint</th>
<th valign="top" colspan="6" align="center">KRAS status</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">Jia et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" rowspan="4" align="center">170</td>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left"/>
<td valign="top" rowspan="4" align="left">First-line chemotherapy</td>
<td valign="top" align="left"/>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">59% (100)</td>
<td valign="top" rowspan="3" align="left">14% (23)</td>
<td valign="top" rowspan="3" align="left">11% (18)</td>
<td valign="top" rowspan="3" align="left">5% (9)</td>
<td valign="top" rowspan="3" align="left">11% (20)</td>
<td valign="top" rowspan="3" align="left"/>
<td valign="top" align="left">ORR (%)</td>
<td valign="top" align="left">19.0</td>
<td valign="top" align="left">26.1</td>
<td valign="top" align="left">22.2</td>
<td valign="top" align="left">11.1</td>
<td valign="top" align="left">20.0</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">6.4</td>
<td valign="top" align="left">4.4</td>
<td valign="top" align="left">2.9</td>
<td valign="top" align="left">7.0</td>
<td valign="top" align="left">4.7</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">DCR (%)</td>
<td valign="top" align="left">86</td>
<td valign="top" align="left">78.3</td>
<td valign="top" align="left">55.6</td>
<td valign="top" align="left">66.7</td>
<td valign="top" align="left">60</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Cserepes et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" rowspan="3" align="center">494</td>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left">COD13 MUT</td>
<td valign="top" align="left">First-line chemotherapy</td>
<td valign="top" align="left"/>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left">COD13 MUT</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">68% (338)</td>
<td valign="top" rowspan="2" align="left">12% (61)</td>
<td valign="top" rowspan="2" align="left">6% (29)</td>
<td valign="top" rowspan="2" align="left">6% (27)</td>
<td valign="top" rowspan="2" align="left">4% (19)</td>
<td valign="top" rowspan="2" align="left">4% (20)</td>
<td valign="top" rowspan="2" align="left"/>
<td valign="top" align="left">PFS (days)</td>
<td valign="top" align="left">211</td>
<td valign="top" align="left">191</td>
<td valign="top" align="left">233</td>
<td valign="top" align="left">150</td>
<td valign="top" align="left">198</td>
<td valign="top" align="left">157</td>
</tr>
<tr>
<td valign="top" align="left">OS (days)</td>
<td valign="top" align="left">479</td>
<td valign="top" align="left">561</td>
<td valign="top" align="left">470</td>
<td valign="top" align="left">325</td>
<td valign="top" align="left">559</td>
<td valign="top" align="left">330</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Sun et&#xa0;al. (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" rowspan="2" align="center">304</td>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left"/>
<td valign="top" rowspan="2" align="left">First-line chemotherapy</td>
<td valign="top" align="left"/>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">87% (265)</td>
<td valign="top" align="left">3% (9)</td>
<td valign="top" align="left">3% (10)</td>
<td valign="top" align="left">4% (13)</td>
<td valign="top" align="left">3% (7)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">7.7</td>
<td valign="top" align="left">9.6</td>
<td valign="top" align="left">8.1</td>
<td valign="top" align="left">5.5</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Ghimessy et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">Rare</td>
<td valign="top" align="left"/>
<td valign="top" rowspan="3" align="left">BEV/CHT</td>
<td valign="top" align="left"/>
<td valign="top" align="left">WT</td>
<td valign="top" align="left">G12/13X</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">213</td>
<td valign="top" align="left">61% (130)</td>
<td valign="top" align="left">16% (35)</td>
<td valign="top" align="left">10% (20)</td>
<td valign="top" align="left">9% (19)</td>
<td valign="top" align="left">4% (9)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">11.70</td>
<td valign="top" align="left">8.27</td>
<td valign="top" align="left">3.70</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">21.0</td>
<td valign="top" align="left">16.1</td>
<td valign="top" align="left">7.2</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Sotorasib</td>
<td valign="top" align="left"/>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Skoulidis et&#xa0;al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="center">124</td>
<td valign="top" align="left">124</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">ORR (%)</td>
<td valign="top" align="left">37.1</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">6.8</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Jeanson et&#xa0;al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">G12A</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G13C</td>
<td valign="top" align="left"/>
<td valign="top" align="left">ICIs</td>
<td valign="top" align="left"/>
<td valign="top" align="left">G12A</td>
<td valign="top" align="left">G12C</td>
<td valign="top" align="left">G12D</td>
<td valign="top" align="left">G12V</td>
<td valign="top" align="left">G13C</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">144</td>
<td valign="top" align="left">10% (15)</td>
<td valign="top" align="left">48% (69)</td>
<td valign="top" align="left">17% (25)</td>
<td valign="top" align="left">17% (24)</td>
<td valign="top" align="left">8% (11)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">ORR (%)</td>
<td valign="top" align="left">13.3</td>
<td valign="top" align="left">18.5</td>
<td valign="top" align="left">20.0</td>
<td valign="top" align="left">18.2</td>
<td valign="top" align="left">18.2</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">2.66</td>
<td valign="top" align="left">3.09</td>
<td valign="top" align="left">3.91</td>
<td valign="top" align="left">2.69</td>
<td valign="top" align="left">4.60</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">J&#xe4;nne et&#xa0;al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">G12C/V</td>
<td valign="top" align="left">Non-G12C/V</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Selumetinib + docetaxel</td>
<td valign="top" align="left"/>
<td valign="top" align="left">G12C/V</td>
<td valign="top" align="left">Non-G12C/V</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">83</td>
<td valign="top" align="left">57% (47)</td>
<td valign="top" align="left">43% (36)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">5.7</td>
<td valign="top" align="left">4.9</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">9.6</td>
<td valign="top" align="left">8.6</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Placebo + docetaxel</td>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">1.4</td>
<td valign="top" align="left">2.6</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">4.4</td>
<td valign="top" align="left">7.1</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>KRAS, kirsten rat sarcoma viral oncogene homolog; Pts, patients; ORR, objective response rate; PFS, progression-free survival; DCR, disease control rate; OS, overall survival; BEV, bevacizumab; CHT, chemotherapy; ICIs, immune checkpoint inhibitors.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Status of Chemotherapy in Patients With Different KRAS Mutation Subtypes of Non-Small Cell Lung Cancer</title>
<p>In recent advances in the treatment of NSCLC, most patients with the advanced-stage disease are still treated with platinum-based chemotherapy regimens. The predictive value of KRAS mutations in&#xa0;NSCLC was investigated in patients receiving definitive chemotherapy (<xref ref-type="bibr" rid="B56">56</xref>), postoperative radiotherapy adjuvant chemotherapy (<xref ref-type="bibr" rid="B57">57</xref>), or the phase III TRIBUTE trial comparing first-line carboplatin/paclitaxel with erlotinib or placebo for advanced NSCLC (<xref ref-type="bibr" rid="B58">58</xref>). In the above settings, KRAS mutation has not been found to be a predictor of response rate, progression-free survival (PFS), or overall survival (OS) in patients with lung cancer. The JBR10 trial showed a significant positive effect with chemotherapy in only KRAS WT. Yet the difference was not shown to be statistically significant (p = 0.29) (<xref ref-type="bibr" rid="B59">59</xref>). In addition, an Asian cohort study analyzed the prognosis of lung cancer patients who received different chemotherapy regimens according to KRAS mutation status. OS was markedly worse in KRAS mutant patients treated with pemetrexed or gemcitabine (p = 0.12). Meanwhile, among KRAS mutated lung cancer patients, OS was longer and statistically significant for adenocarcinoma patients compared with squamous carcinoma patients (22.7 vs. 11.5 months; p = 0.051) (<xref ref-type="bibr" rid="B51">51</xref>). It is worth noting that clinical studies show that PFS and OS are remarkably shortened in patients with KRAS codon 13 mutation, which indicates that the KRAS codon 13 mutation has a potential negative impact on chemotherapy (<xref ref-type="bibr" rid="B60">60</xref>). Additionally, analysis of clinical data from platinum-based chemotherapy according to KRAS mutation status demonstrated that patients with mutations at codon 13 experienced a shorter PFS and OS compared when compared with patients with mutations at codon 12 (<xref ref-type="bibr" rid="B61">61</xref>). According to a retrospective study that involved 2,183 Chinese cases that exhibited KRAS mutations, patients with KRAS G12V mutations seemed to have a poorer response to chemotherapy than others. In this study, a shorter and statistically significant PFS was observed when the G12V mutant was compared with WT patients (2.9 vs. 6.4 months, respectively; p = 0.001). Patients with KRAS G12V mutations were less sensitive to chemotherapy and had worse PFS than non-KRAS G12V mutated patients (median PFS (mPFS), 2.9 vs. 4.7 months; p = 0.046). There was no difference in PFS for other KRAS subtypes that were compared. In addition, PFS may be shorter in patients with KRAS mutated adenocarcinoma histology (4.3 vs. 6.7 months; p = 0.051). However, KRAS WT patients had a significantly higher disease control rate (DCR) to platinum-based chemotherapy (86.0% vs. 65.7%, p = 0.002). Although G12V had the lowest DCR of 55.6%, the response profile to platinum-based chemotherapy did not appear to be statistically significant between mutational subtypes (p &lt; 0.05) (<xref ref-type="bibr" rid="B49">49</xref>). However, in a recent study, patients with KRAS G12V mutant lung adenocarcinoma (LUAD) not only tended to have a better response to platinum-based chemotherapy (p = 0.077) but also, although there was no significant difference, were more likely to have longer PFS than patients with other codon 12 mutations (p = 0.145) (<xref ref-type="bibr" rid="B50">50</xref>). However, these differences were not statistically significant. In these results, it can be found that the KRAS 13 codon is less sensitive to chemotherapy than the KRAS 12 codon. G12V showed poor efficacy in first-line chemotherapy, but it showed strong sensitivity to platinum-based chemotherapy. However, the KRAS mutant is less sensitive to chemotherapy than the KRAS WT.</p>
<p>Therefore, we propose a clinically significant hypothesis, namely, that the different types of KRAS mutations can produce different reactions to chemotherapy. This was seen in a study of cell lines with KRAS mutations by Garassino et&#xa0;al. In comparison with the WT clones, the G12C mutation was associated with a reduced response to cisplatin but increased sensitivity to taxol and pemetrexed, whereas G12V mutation showed a strong sensitivity to cisplatin but less sensitivity to pemetrexed. For cell lines with G12D mutations, taxol had minimal effects, but sorafenib had sound results (<xref ref-type="bibr" rid="B48">48</xref>).</p>
</sec>
<sec id="s3_2">
<title>Status of Anti-Angiogenic Therapy in Patients With Different KRAS Mutation Subtypes of Non-Small Cell Lung Cancer</title>
<p>In addition to initiating tumor formation by stimulating proliferation, oncogenic RAS ensures tumor progression by promoting tumor angiogenesis (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). Different downstream pathways of oncogenic RAS are ultimately involved in promoting tumor angiogenesis through the upregulation of vascular endothelial growth factor (VEGF) and CXC chemokine interleukin-8 (IL-8) (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B67">67</xref>). Angiogenesis inhibition is one of the most important strategies against solid tumors. Cutting off the blood supply to a tumor micro area leads to a lack of oxygen to the solid tumor; this results in extensive tissue necrosis within the tumor organization. The difference between normal and tumor tissue angiogenesis activation makes the process of antitumor drug discovery an attractive strategy target (<xref ref-type="bibr" rid="B68">68</xref>). Over the past decades, the VEGF signaling pathway has been identified as a central axis in the process of tumor angiogenesis. The advent of recombinant antibody technology has facilitated the development of bevacizumab (BEV), a humanized antibody that targets VEGF and is the current leading clinical treatment to inhibit tumor angiogenesis (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>However, although it has been proved that VEGF plays an indispensable role in tumor angiogenesis mediated by RAS, seldom do we have studies involving the relationship between KRAS mutations and antiangiogenic therapy efficacy (<xref ref-type="bibr" rid="B70">70</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>). A phase II trial assessing the efficacy of BEV in chemotherapy found that all KRAS mutated patients had no pathological response to neoadjuvant BEV combined with chemotherapy, whereas 35% of patients with WT KRAS showed a significant pathological response (<xref ref-type="bibr" rid="B73">73</xref>). In a recent clinical retrospective study by Ghimessy et&#xa0;al., patients with KRAS mutations, and especially patients with KRAS G12D mutant lung cancer, had a significantly shorter OS than those with KRAS WT or other KRAS mutant tumors (p = 0.0223 and p = 0.0144, respectively). At the same time, the KRAS WT or all other codon 12/13 (G12/13x) KRAS mutations other than KRAS G12D mutation had significant adverse effects on PFS (p = 0.0032). Thus, G12D mutations may define a subset of KRAS types for which LUAD patients with such mutations are not eligible for treatments with BEV-based antiangiogenic drugs (<xref ref-type="bibr" rid="B52">52</xref>).</p>
</sec>
<sec id="s3_3">
<title>Status of KRAS Targeted Therapy in Patients With Different KRAS Mutation Subtypes of Non-Small Cell Lung Cancer</title>
<p>Although KRAS was discovered decades ago, none of the studies targeting KRAS therapy have achieved significant results until recent years. Several studies have shown that specific mutant KRAS may cause differential sensitivity to EGFR tyrosine kinase inhibitors (EGFR-TKIs). One such study demonstrated that patients with the KRAS codon 13 mutation experienced worse outcomes when compared with patients with KRAS codon 12 mutations and KRAS WT patients (p &lt; 0.0001 and p = 0.01 for PFS and OS, respectively) (<xref ref-type="bibr" rid="B74">74</xref>). Another study proved the potential OS benefit of EGFR-TKIs in patients with KRAS G12D/G12S mutations (HR = 0.49, p = 0.05). It was also observed that EGFR-TKIs tended to reduce survival in patients with G12C/G12V mutations (HR = 1.41, p = 0.07), which was more significant in the adenocarcinoma subgroup (HR = 1.73, p&#xa0;= 0.01), while the harmful effects of G12V mutation alone were more prominent (HR = 1.96, p = 0.04) (<xref ref-type="bibr" rid="B75">75</xref>). Contrarily, Fiala et&#xa0;al. reported that EGFR-TKIs improved PFS in patients with non-G12C KRAS mutant tumors when compared with the G12C group (<xref ref-type="bibr" rid="B76">76</xref>). However, the poor outcomes of EGFR WT/KRAS-mutant NSCLC patients indicate that the KRAS mutation is neither prognostic nor predictive of benefit from EGFR-TKIs (<xref ref-type="bibr" rid="B77">77</xref>). Recent advancement in RAS targeted drugs is the development of allele-specific inhibitors. The locations of KRAS oncogenic mutations are mainly clustered at several hotspot residues, especially in G12 (<xref ref-type="bibr" rid="B78">78</xref>). KRAS G12C mutants have cysteine residues that have been used to design covalent inhibitors with preclinical activity recently, which makes the inability to drug KRAS a thing of the past (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B79">79</xref>). Mutation-selective KRAS inhibitors utilize reactivity and the nucleophilic cysteine at No. 12. Thus, modified by disulfide bonds, these covalent conjugates can be incorporated into allosteric isomers and allosterically inhibit KRAS oncoprotein activity, or bind to the orthosteric substrate site and compete with GDP/GTP to inhibit protein activation. Ostrem et&#xa0;al. found compounds 6 and 12 and identified their corresponding new allosteric site switch II pocket (S-IIP), which opened the way for the development of allosteric KRAS G12C covalent inhibitors (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>AMG510 is a small-molecule compound that irreversibly and specifically binds to G12C and functions to lock KRAS in an inactive state with GDP. This covalent inhibitor slowly converts the KRAS active state to the KRAS-GDP state with a 30-min half-life. In a recently concluded phase II clinical trial (NCT 03600883) in which 124 patients were evaluated, 37.1% patients with NSCLC had a confirmed objective response (4 had a complete response and 42 had a partial response; 95% CI, 28.6 to 46.2), and 80.6% had a disease control response (95% CI, 72.6 to 87.2); the mPFS was 6.8 months (95% CI, 5.1 to 8.2) (<xref ref-type="bibr" rid="B53">53</xref>). Another ongoing phase I/II trial targeting KRAS G12C (NCT 03785249) considers MRTX849, a similar small-molecule direct inhibitor with a half-life of 20 h, irreversibly binds to cysteine 12 in the switch II pocket induced by KRAS G12C and locks the KRAS protein in an inactive GDP bound state, resulting in the inhibition of the RAS/MAPK signaling pathway (<xref ref-type="bibr" rid="B80">80</xref>). A phase I trial (NCT04006301) conducted by Janssen evaluating JNJ-74699157 has just begun recruitment. The drug is an investigational, orally available small molecule that is designed to potently and selectively inhibit KRAS G12C (<xref ref-type="bibr" rid="B81">81</xref>). Eli Lilly drug LY3499446, a new compound under development as KRAS G12C inhibitors (NCT #04165031), will be evaluated as a single agent or in combination with other agents such as abemaciclib, cetuximab, and erlotinib in advanced solid tumors including NSCLC (<xref ref-type="bibr" rid="B81">81</xref>). We can conclude that NSCLC patients with KRAS G12D/G12V/G13C mutations are better candidates for immunotherapy than patients with KRAS G12A/G12C mutations.</p>
</sec>
<sec id="s3_4">
<title>Status of Immunotherapy in Patients With Different KRAS Mutation Subtypes of Non-Small Cell Lung Cancer</title>
<p>It is widely indicated that the degree of programmed cell death protein 1 (PD-1) expression is tightly correlated with the KRAS subtype status, and KRAS mutation is, to some extent, considered a possible biomarker for immune checkpoint inhibitors (ICIs) (<xref ref-type="bibr" rid="B82">82</xref>). Furthermore, clinical benefit from the application of PD-1 inhibitors in patients with KRAS mutations was reported in a comprehensive analysis (<xref ref-type="bibr" rid="B83">83</xref>). Increased expression of PD-1 has been affirmed in KRAS mutant cells, accompanied by the demonstration that ERK activation mediates upregulation of programmed cell death-ligand 1 (PD-L1) through KRAS mutations (<xref ref-type="bibr" rid="B84">84</xref>). A study based on the intrinsic link between the degree of PD-L1 expression on tumor cells and the type of KRAS mutation found that, as a PD-1 inhibitor, pembrolizumab, or an ERK inhibitor can restore the body&#x2019;s antitumor immunity and prevent apoptosis of CD3+ T cells by preventing the immune escape of tumor cells (<xref ref-type="bibr" rid="B85">85</xref>). At the same time, a large number of studies have confirmed that PD-L1 expression has a close relationship with circulating tumor cells (CTCs). Reduced CTC numbers are strongly associated with a good response to immunotherapy and longer OS and PFS (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Additionally, other available data indicate that high CTC values before treatment are associated with an increased risk of patient death and progression (<xref ref-type="bibr" rid="B88">88</xref>). The results of Wang et&#xa0;al. showed that CTCs can also be used to detect the dynamic changes of PD-L1 during radiotherapy in lung cancer patients (<xref ref-type="bibr" rid="B89">89</xref>). Nicolazzo et&#xa0;al. summarized that stage IV patients with NSCLC who received ICI nivolumab therapy could have their resistance to immunotherapy measures through the persistence of PD-L1-positive CTCs (<xref ref-type="bibr" rid="B90">90</xref>). In addition, there is evidence for variability in the biological behavior of different KRAS mutation subtypes due to the high heterogeneity in the presentation of KRAS mutations. Therefore, attention needs to be paid to heterogeneity in the efficacy of immunosuppressive agents in lung cancer patients with KRAS mutations when immunotherapy is administered. Meanwhile, differences in the tumor microenvironment (TME) of different lung cancer patients affect the efficacy of immunotherapy. There is evidence that the above TME differences can affect the sensitivity of lung cancer patients to immunotherapy. Some of these differences are the status of neutrophils, the number of NK cell counts, the activity of dendritic cells (DCs), the expression of PD-L1 on macrophages, Foxp3+ Ti/S ratio, and CD8+ Ti/S ratio, and chromosomal stability (<xref ref-type="bibr" rid="B91">91</xref>&#x2013;<xref ref-type="bibr" rid="B96">96</xref>). It should also be mentioned that gut microbiota can shape TME by modulating the immune and hormonal factors throughout the host (<xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B98">98</xref>). The metabolites of the gut microbiota also have implications for the TME and tumor immunosuppressive therapy (<xref ref-type="bibr" rid="B99">99</xref>&#x2013;<xref ref-type="bibr" rid="B101">101</xref>). Modulation of the gut microbiota has been reported to enhance the effects of cancer immunotherapy (<xref ref-type="bibr" rid="B101">101</xref>). Therefore, when administering immunotherapy to patients with KRAS mutated lung cancer, attention needs to be paid to the differences in the TME of patients with lung cancer while paying attention to the heterogeneity in the efficacy of immunosuppressive agents. This is all with respect to the expectation of achieving the individualization of immunotherapy for patients with lung cancer.</p>
<p>In a retrospective study, Jeanson et&#xa0;al. analyzed the extent of PD-1 expression in 128 patients with advanced NSCLC (all histological subgroups, predominantly LUAD) treated with ICIs (anti-programmed death 1, anti-PD-L1, or anti-cytotoxic T-lymphocyte-associated protein 4 antibodies). Although no significant differences were observed when comparing the efficacy and toxicity of ICIs between different subtypes of KRAS mutations, there were statistically significant differences in PD-L1 expression: a higher proportion of patients with KRAS G12D, G12V, or G13C mutations had PD-L1 positive tumors, and a higher proportion of PD-L1-negative tumors had G12A and G12C mutations. Interestingly, KRAS-mutant NSCLC was investigated according to the degree of PD-L1 expression; they found that a better objective response rate (ORR) and longer PFS were observed for PD-L1-positive tumors. Meanwhile, in patients with KRAS G12A and G12V mutant cancers, the degree of PD-L1 expression was similar to the ORR and PFS in patients treated with ICIs (<xref ref-type="bibr" rid="B54">54</xref>). We may conclude that NSCLC patients with KRAS G12D/G12V/G13C mutations are better candidates for immunotherapy, whereas patients with KRAS G12A/G12C mutations are not.</p>
</sec>
<sec id="s3_5">
<title>Downstream Pathway Inhibitors Vary Between Patients With Different KRAS Mutation Subtypes of Non-Small Cell Lung Cancer</title>
<p>The KRAS signaling pathway is highly complex and dynamically changing, and the downstream pathways involve multiple effectors. The representative ones are the Raf&#x2013;MEK&#x2013;ERK and PI3K&#x2013;Akt signaling networks (<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B103">103</xref>). Due to the slightly different biochemical characteristics of each allele, the downstream pathways involved may vary in quantity and quality (<xref ref-type="bibr" rid="B104">104</xref>). The best existing example is the varying sensitivity of CRC cell lines expressing different KRAS alleles to MEK1/2 inhibition. Cell lines expressing A146T were sensitive to a single MEK1/2 inhibitor, but not to other KRAS-activated mutations (<xref ref-type="bibr" rid="B105">105</xref>). Also, the effects of different KRAS mutation subtypes on downstream signaling pathways such as PI3K may result in differential response to therapy (<xref ref-type="bibr" rid="B47">47</xref>). Therefore, it is important to understand whether the metabolic levels of cells with different KRAS mutation statuses are affected by these inhibitors. This will help to inform new combination regimens that have the potential to form targeted therapies for WT and mutant cancer cells to help patients receive tailored treatment.</p>
<p>Caiola et&#xa0;al. studied KRAS WT and G12C mutated NSCLC clones to determine the response of both to PI3K&#x2013;Akt inhibitors (BEZ235 and BKM120). Metabolomic analysis revealed that although the final effects of both mutation types on cell growth, cell cycle distribution, and caspase activation were similar, glutamine metabolism in KRAS G12C and serine metabolism in KRAS WT were impaired after PI3K signaling pathway blockade by inhibitors. PI3K inhibitors cause autophagy in KRAS WT, but not KRAS G12C. At the same time, there was significantly reduced KRAS G12C ammonia production, possibly as a result of impaired glutamine metabolism (<xref ref-type="bibr" rid="B106">106</xref>). A randomized phase II trial of selumetinib plus docetaxel in KRAS mutant advanced NSCLC suggested the impact of KRAS codon subtypes. Patients with KRAS G12V mutation had longer PFS and ORR than other subtypes (p = 0.24 and p = 0.189, respectively), while KRAS G12C mutation may have longer OS than other mutation types (p = 0.48). Further analysis at week 6 suggested tumors harboring KRAS G12V may have had a better response: G12V (n = 9) for 62%; reduction across all codons (n = 81) for 18% (<xref ref-type="bibr" rid="B55">55</xref>).</p>
</sec>
</sec>
<sec id="s4">
<title>Impact of KRAS Concurrent Pathogenic Mutations on Outcomes of Therapy</title>
<p>KRAS-mutant NSCLC has been proven to be a genetically heterogeneous disease. In addition to having different types of point mutations, it is often associated with other co-mutations in lung cancer, which has been reported in various papers in recent years (<xref ref-type="bibr" rid="B107">107</xref>, <xref ref-type="bibr" rid="B108">108</xref>). Approximately 50% of NSCLC with KRAS mutations have additional co-accompanied mutations that are critical in tumorigenesis, such as TP53, STK11/LKB1, KEAP1, and SAMARCA4&#x2014;which are the most commonly reported mutations (<xref ref-type="bibr" rid="B109">109</xref>). We summarized the clinical trials that are investigating the outcomes of different KRAS co-mutations below, in order to provide references for the personalized treatments of relevant patients (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Each of these co-mutational partners is a key contributor to Ras signaling and the TME in lung tumor cells and has resulted in more prominent molecular and clinical heterogeneity of KRAS-driven NSCLC (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of clinical trials investigating the outcomes of different KRAS co-mutations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Pts</th>
<th valign="top" colspan="3" align="center">KRAS status</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Endpoint</th>
<th valign="top" colspan="3" align="center">KRAS status</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Skoulidis et&#xa0;al. (<xref ref-type="bibr" rid="B110">110</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">K-only</td>
<td valign="top" align="left">KP</td>
<td valign="top" align="left">KL</td>
<td valign="top" align="left">ICIs</td>
<td valign="top" align="left"/>
<td valign="top" align="left">K-only</td>
<td valign="top" align="left">KP</td>
<td valign="top" align="left">KL</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">174</td>
<td valign="top" align="left">37% (64)</td>
<td valign="top" align="left">32% (56)</td>
<td valign="top" align="left">31% (54)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">ORR (%)</td>
<td valign="top" align="left">28.6</td>
<td valign="top" align="left">35.7</td>
<td valign="top" align="left">7.4</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">2.7</td>
<td valign="top" align="left">3.0</td>
<td valign="top" align="left">1.8</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">16.1</td>
<td valign="top" align="left">16.0</td>
<td valign="top" align="left">6.4</td>
</tr>
<tr>
<td valign="top" align="left">Skoulidis et&#xa0;al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">KRAS MUT</td>
<td valign="top" align="left">KRAS-KEAP1 MUT</td>
<td valign="top" align="left"/>
<td valign="top" align="left">Sotorasib</td>
<td valign="top" align="left"/>
<td valign="top" align="left">KRAS MUT</td>
<td valign="top" align="left">KRAS-KEAP1 MUT</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">104</td>
<td valign="top" align="left">81% (84)</td>
<td valign="top" align="left">19% (20)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">ORR (%)</td>
<td valign="top" align="left">44</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Alessi et&#xa0;al. (<xref ref-type="bibr" rid="B111">111</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">K-only</td>
<td valign="top" align="left">KS</td>
<td valign="top" align="left"/>
<td valign="top" align="left">ICIs</td>
<td valign="top" align="left"/>
<td valign="top" align="left">KS</td>
<td valign="top" align="left">K-only</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">176</td>
<td valign="top" align="left">90% (159)</td>
<td valign="top" align="left">10% (17)</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">ORR (%)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">22.0</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">1.4</td>
<td valign="top" align="left">4.1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">3.0</td>
<td valign="top" align="left">15.1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Liu et&#xa0;al. (<xref ref-type="bibr" rid="B112">112</xref>)</td>
<td valign="top" align="center"/>
<td valign="top" align="left">K-only</td>
<td valign="top" align="left">KP</td>
<td valign="top" align="left">KS</td>
<td valign="top" align="left">Non-immunotherapy</td>
<td valign="top" align="left"/>
<td valign="top" align="left">K-only</td>
<td valign="top" align="left">KP</td>
<td valign="top" align="left">KS</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">155</td>
<td valign="top" align="left">61% (94)</td>
<td valign="top" align="left">33% (52)</td>
<td valign="top" align="left">6% (9)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">DFS (months)</td>
<td valign="top" align="left">18.0</td>
<td valign="top" align="left">16.31</td>
<td valign="top" align="left">10.97</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">OS (months)</td>
<td valign="top" align="left">20.11</td>
<td valign="top" align="left">18.48</td>
<td valign="top" align="left">15.37</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">ICIs</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">77</td>
<td valign="top" align="left">56% (43)</td>
<td valign="top" align="left">32% (25)</td>
<td valign="top" align="left">12% (9)</td>
<td valign="top" align="left"/>
<td valign="top" align="left">PFS (months)</td>
<td valign="top" align="left">2.77</td>
<td valign="top" align="left">4.63</td>
<td valign="top" align="left">1.73</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>KRAS, kirsten rat sarcoma viral oncogene homolog; Pts, patients; KL, KRAS-STK11/LKB1 co-mutant; KP, KRAS-TP53 co-mutant; ORR, objective response rate; PFS, progression-free survival; OS, overall survival; MUT, mutation; KEAP1, Kelch-like ECH-associated protein 1; ICIs, immune checkpoint inhibitors; KS, KRAS-SMARCA4 co-mutant; DFS, disease-free survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_1">
<title>KRAS Co-Mutated With TP53 and STK11/LKB1</title>
<p>KRAS mutations in NSCLC patients frequently occur together with mutations in tumor protein 53 (TP53) and serine&#x2013;threonine kinase 11/liver kinase B1 (STK11/LKB1). Genomic alterations co-occurred in the TP53 and STK11/LKB1 tumor suppressor genes, which define the unique biology, therapeutic sensitivities, and immune conditions of different subgroups of NSCLC with KRAS mutations (<xref ref-type="bibr" rid="B113">113</xref>). STK11 / LKB1 encodes a serine threonine kinase, which plays a role in cell metabolism ,energy homeostasis, growth and polarity regulation through the phosphorylation of adenosine monophosphate activated protein kinase (AMPK) and 12 AMPK related kinases. (<xref ref-type="bibr" rid="B114">114</xref>). Inactivation of STK11 (or its protein product LKB1) through mutational or non-mutational mechanisms has been associated with an inert or &#x201c;cold&#x201d; TME. It leads to the accumulation of neutrophils with T cell-suppressive effects, accompanied by a corresponding increase in the expression of T-cell exhaustion markers and tumor-promoting cytokines. In human tumors and genetically engineered mouse models, the density of invasive cytotoxic CD8+ T lymphocytes was decreased, along with the reduced expression of PD-L1 (<xref ref-type="bibr" rid="B113">113</xref>, <xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B116">116</xref>). In contrast, extensive infiltration of cytotoxic CD8+ Th1 tumor-infiltrating lymphocytes (TILs), as well as high expression of interferon (IFN)-dependent genes and IFN-induced PD-L1, was predominantly observed in KRAS-TP53 co-mutated tumors (<xref ref-type="bibr" rid="B110">110</xref>).</p>
<p>In the study of Skoulidis et&#xa0;al., LUAD patients were divided into three groups according to whether TP53 or STK11/LKB1 gene mutations occurred. The majority of KRAS-STK11/LKB1 co-mutated (KL) tumors were shown to be significantly more resistant to PD-1 inhibitors, with lower response rates observed for this subtype in three independent databases [9.1% for MDACC (MD Anderson Cancer Center), 9.1% for MSKCC (Memorial Sloan Kettering Cancer Center), and 4.8% for DFCI/MGH (Dana-Farber Cancer Institute/Massachusetts General Hospital)]. On the other hand, the KRAS-TP53 co-mutant (KP) group showed greater sensitivity to PD-1 inhibitors. When it comes to PFS, the KL group showed significantly shorter PFS than either K-only (hazard ratio (HR) 1.98, 95% CI, 1.33 to 2.94; p &lt; 0.001) or KP (HR 1.77, 95% CI, 1.16 to 2.69; p = 0.0072) groups in pairwise comparisons, while the latter two groups had similar PFS. Meanwhile, this significant difference in OS was also observed among the three subgroups in the SU2C cohort and was statistically significant (p = 0.0045). Median OS was 6.4 months in KL compared with 16.0 months in KP and 16.1 months in K-only LUAD (<xref ref-type="bibr" rid="B110">110</xref>). In the study by La Fleur et&#xa0;al., worse OS was observed for LUAD patients with a mutation in either TP53 or STK11/LKB1. In the LUAD KRAS mutation group, poor survival appeared to be related to TP53 or STK11/LKB1 co-mutations instead of a single KRAS aberration. This&#xa0;result was also found in the open data analysis of cBioPortal (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<p>Co-mutations in KRAS and TP53 suggest that in lung cancer, tumors carrying these mutations may be more sensitive to immune checkpoint suppression (<xref ref-type="bibr" rid="B83">83</xref>). Conversely, tumors with both KRAS and STK11 mutations may be associated with an immunosuppressive microenvironment (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B118">118</xref>). In addition, in the presence of oncogenic KRAS mutations, STK11/LKB1 deficiency promoted the synthesis of interleukin-6 (IL-6), which predominantly recruited large numbers of neutrophils but suppressed T-cell infiltration, and it had higher criteria for markers of T-cell exhaustion (mainly PD-1). Moreover, PD-L1 expression was also suppressed in cancer cells, indicating that STK11-deficient KRAS mutations lead to anti-PD-1/PD-L1 resistance in cancer cells (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B115">115</xref>).</p>
<p>In summary, KRAS-TP53 co-mutant NSCLC patients are more suitable for treatment with ICIs, while those with both KRAS and STK11/LKB1 mutations demonstrated resistance.</p>
</sec>
<sec id="s4_2">
<title>KRAS Co-Mutated With KEAP1</title>
<p>Kelch-like ECH-associated protein 1 (KEAP1), a principal repressor of nuclear factor erythroid 2-like 2 (NFE2L2; hereafter NRF2), functions primarily as a transcriptional regulator during the cellular oxidative stress response and is one of the most frequent co-mutations in KRAS mutated tumors that co-occur with genomic changes that affect tumor biology and response to systemic therapy (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B104">104</xref>, <xref ref-type="bibr" rid="B105">105</xref>, <xref ref-type="bibr" rid="B119">119</xref>). According to a pan-cancer analysis, the amount of KEAP1 mutations in 40,167 patients with distinct cancer types was 2.7%; patients with NSCLC had the highest levels of KEAP1 mutations (15.8%) (<xref ref-type="bibr" rid="B120">120</xref>). Nearly 20% of KRAS mutant lung cancers harbor concurrent loss of function (LOF) mutations in KEAP1 (<xref ref-type="bibr" rid="B121">121</xref>&#x2013;<xref ref-type="bibr" rid="B123">123</xref>).</p>
<p>The results demonstrate that KEAP1 mutations activate the NRF2 antioxidant program and promote LUAD progression in concert with mutant KRAS (<xref ref-type="bibr" rid="B124">124</xref>), demonstrating that cancer cells can overcome oxidative stress barriers during tumorigenesis (<xref ref-type="bibr" rid="B125">125</xref>&#x2013;<xref ref-type="bibr" rid="B131">131</xref>). The metabolic requirement for glutaminolysis may also similarly manifest as a therapeutic vulnerability in other cancers with genetic (<xref ref-type="bibr" rid="B132">132</xref>&#x2013;<xref ref-type="bibr" rid="B137">137</xref>), epigenetic (<xref ref-type="bibr" rid="B138">138</xref>&#x2013;<xref ref-type="bibr" rid="B140">140</xref>), or post transcriptional (<xref ref-type="bibr" rid="B141">141</xref>) alterations in the KEPA1/NRF2 signaling pathway, a hypothesis that illustrates the importance of kinase-targeted therapeutic strategies for KRAS-KEAP1 mutant lung cancer (<xref ref-type="bibr" rid="B142">142</xref>). Furthermore, in KRAS-mutant LUAD, tumors with LKB1 loss are highly enriched for concurrent KEAP1 mutations, which activate the KEAP1/NRF2 pathway. A recent study investigated the biological consequences of these co-occurring alterations and explored whether they conferred specific therapeutic vulnerabilities. The results collectively found that in kallikrein-related peptidases (KLK) tumor cells, activation of the KEAP1/NRF2 pathway limits metabolic flexibility and promotes glutamine-addictive metabolism to maintain the tricarboxylic acid (TCA) cycle in addition to redox homeostasis, rendering these tumor cells selectively vulnerable to glutaminase inhibitors (<xref ref-type="bibr" rid="B143">143</xref>).</p>
<p>In an exploratory analysis by Skoulidis et&#xa0;al., the activity of sotorasib was observed across a spectrum of prevalent co-occurring mutations, including STK11 and KEAP1, both of which are related to inferior treatment outcomes and a poor prognosis in patients with NSCLC (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B117">117</xref>, <xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B144">144</xref>&#x2013;<xref ref-type="bibr" rid="B147">147</xref>). Among the 104 patients (KRAS-mutant NSCLC is mainly adenocarcinoma, accounting for 95.2%) who were assessed for co-occurring genomic alterations, efficacy was seen in the subgroups with mutated STK11, KEAP1, or TP53. After total genomic changes were assessed in 104 patients, efficacy was significantly improved in the STK11, KEAP1, or TP53 mutated subgroups. Fifty percent (95% CI, 28 to 72) of patients in the STK11 mutant subgroup and WT KEAP1 subgroup responded, and 39% (95% CI, 30 to 49) of evaluable patients responded. Among patients with KEAP1 mutations, 23% of patients in the STK11 and KEAP1 subgroups (95% CI, 5 to 54) responded, compared with 14% of patients in the WT STK11 and KEAP1 subgroups (95% CI, 0 to 58) (<xref ref-type="bibr" rid="B53">53</xref>). In total, KEAP1 co-mutation is an adverse factor for NSCLC patients with KRAS mutations who receive sotorasib therapy.</p>
</sec>
<sec id="s4_3">
<title>KRAS Co-Mutated With SMARCA4</title>
<p>The SWItch/Sucrose Non-Fermentable (SWI/SNF) chromatin remodeling complexes control DNA accessibility to transcriptional factors and regulate transcriptional programming (<xref ref-type="bibr" rid="B148">148</xref>, <xref ref-type="bibr" rid="B149">149</xref>). The genes encoding SWI/SNF complex subunits are among the most highly mutated in cancer. Among various kinds of cancer, SWI/SNF multi-subunit protein complex composition of genomic changes has taken place. It is estimated that at least 20% of malignancies have SWI/SNF complex subunit mutations (<xref ref-type="bibr" rid="B150">150</xref>, <xref ref-type="bibr" rid="B151">151</xref>). SWI/SNF related, matrix associated, actin-dependent regulator of chromatin, subfamily A, member 4 (SMARCA4) encodes brahma-related gene1 (BRG1), one of two mutually exclusive ATPase subunits of the SWI/SNF complex. Mutations in the SMARCA4 gene are found in a variety of cancers and tended to co-occur with KRAS mutations frequently (10%) (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B152">152</xref>&#x2013;<xref ref-type="bibr" rid="B155">155</xref>). Studies have shown that inactivation of SMARCA4 promotes the invasion of NSCLC by altering chromatin organization (<xref ref-type="bibr" rid="B156">156</xref>), while decreased expression of SMARCA4 results in a poor prognosis of lung cancer (<xref ref-type="bibr" rid="B157">157</xref>&#x2013;<xref ref-type="bibr" rid="B159">159</xref>).</p>
<p>Lissanu et&#xa0;al. showed that SMARCA4 through synergies with lack of p53 and KRAS activation plays a role of tumor suppressor, and these SMARCA4 mutations in the tumor were highly sensitive to the inhibition of oxidative phosphorylation (<xref ref-type="bibr" rid="B160">160</xref>). Another study indicated that decreased expression of SMARCA4 resulted in a poor prognosis of lung cancer. Besides, the presence of SMARCA4 co-mutations in KRAS mutated NSCLC patients was found to contribute to poor immunotherapy outcomes (<xref ref-type="bibr" rid="B157">157</xref>). Besides, the presence of SMARCA4 co-mutations in KRAS mutated NSCLC patients was found to contribute to poor immunotherapy outcomes (<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B161">161</xref>). In the study of Alessi et&#xa0;al., compared with K-only subgroup, ORR (22% vs. 0%, p = 0.03), mPFS (4.1 vs. 1.4 months, HR = 0.25, 95% CI, 0.14 to 0.42, p&#xa0;&lt; 0.001) and median OS (15.1 vs. 3.0 months, HR = 0.29, 95% CI, 0.17 to 0.50, p &lt; 0.001) in KRAS-SMARCA4 co-mutant (KS) subgroup were significantly shortened (<xref ref-type="bibr" rid="B149">149</xref>). To make the conclusions more comprehensive, the analysis by Liu et&#xa0;al. concluded that genomic changes in SMARCA4 are one of the reasons for the poor prognosis of KRAS mutant LUAD patients regardless of whether they received non-immunotherapy or immunotherapy. Among patients receiving non-immunotherapy, the KS subgroup had a significantly shorter DFS than the KP (HR 4.47, 95% CI, 1.52 to 13.22, p = 0.003) and K-only (HR 2.43, 95% CI, 1.46 to 4.05, p = 1.2E&#x2212;4) two subgroups. A retrospective review of LUAD patients treated with immunotherapy yielded that the KS co-mutated group had shorter PFS than the other subtypes in various subgroup analyses (HR = 2.82, 95% CI, 1.17 to 6.81, p = 0.016) (<xref ref-type="bibr" rid="B112">112</xref>).</p>
<p>NSCLC patients with concurrent KRAS and SMARCA4 mutations require another targeted therapeutic strategy. Cisplatin-based chemotherapy was shown to be beneficial to patients with NSCLC with low SMARCA4 expression in a clinical study (<xref ref-type="bibr" rid="B157">157</xref>). CDK4 inhibitors including palbociclib may also be a potential alternative (<xref ref-type="bibr" rid="B162">162</xref>). In addition, a recent study showed that SMARCA4-deficient lung cells and xenograft tumors suppressed oxidative phosphorylation evidently (<xref ref-type="bibr" rid="B160">160</xref>). All observations suggest that therapeutic strategies are encouraged, but further clinical trials are needed.</p>
</sec>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>As of today, differences in the effectiveness of chemotherapy, antiangiogenic therapy, targeted therapy, or immunotherapy among lung cancer patients with different KRAS mutant subtypes are not known. However, the above research results show that G12C/V is effective for platinum-based chemotherapy, while G12D is more sensitive to first-line chemotherapy. EGFR inhibition has a poor effect on KRAS mutation, but codon 12 mutations are more sensitive than codon 13 mutations. Meanwhile, patients with KRAS G12C lung cancer are likely to find success with covalent inhibitors such as AMG 510 and MRTX849, an anti-endogenous protein degradation molecule. Codon 13 mutations are more sensitive to ICIS than codon 12 mutations. KRAS co-mutated with STK11/LKB1 is insensitive to ICIs, while TP53 co-mutation is the opposite. KRAS combined with SMARCA4 mutant LUAD has a poor response to non-immunotherapy and immunotherapy, and SMARCA4 mutation may be a genetic factor contributing to its poor response (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The reasons for the poor efficacy of patients with KRAS-mutant NSCLC and the large interpatient variability may relate to oncogenic mechanisms and not to the function of the target itself. The key point is that there is a high degree of heterogeneity among the subtypes of KRAS mutations. Coexisting genetic events and differences in KRAS allele mutations determine different metabolic profiles and TME, both of which will produce significant differential drug sensitivities in seemingly similar tumors. Therefore, with individualized treatments for different KRAS mutant subtypes, we may eventually change the process of fatal NSCLC. In conclusion, the innovation of traditional treatment strategies and the emergence of new promising drugs may change the treatment pattern of KRAS mutant lung cancer. Yet the therapeutic strategy of KRAS gene mutation remains to be further explored.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Outcomes vary in primary treatments in different KRAS mutation subtypes or different KRAS co-mutations. <bold>(A)</bold> Pooled PFS of NSCLC patients with KRAS wild-type and different KRAS mutations from clinical trials. <bold>(B)</bold> Pooled PFS of K-only and KRAS co-mutated patients with NSCLC from clinical trials. KRAS, kirten rat sarcoma viral oncogene homolog; COD, codon; WT, wild type; ICIs, immune checkpoint inhibitors; BEV, bevacizumab; CHT, chemotherapy; KS, KRAS-SAMARCA4 co-mutant; KL, KRAS-STK11/LKB1 co-mutant; KP, KRAS-KEAP1 co-mutant; PFS, progression-free survival; NSCLC, non-small cell lung cancer.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-780655-g005.tif"/>
</fig>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>HY provided the initial idea for this review. MS and RQ were in charge of data acquisition and drafting of the article. JR and DL revised the article. All authors read and approved the final manuscript.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (no. 81874221), Basic Public Welfare Research Project of Zhejiang Province (LGF21H160027), and Science and Technology Agency of Taizhou City (20ywa09).</p>
</sec>
<sec id="s8" 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="s9" 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 gratefully acknowledge Dr. Feng-Ming (Spring) Kong, from Case Western Reserve University, for the editorial assistance in the abstract.</p>
</ack>
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<label>161</label>
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<person-group person-group-type="author">
<name>
<surname>Schoenfeld</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Bandlamudi</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lavery</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Montecalvo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Namakydoust</surname> <given-names>A</given-names>
</name>
<name>
<surname>Rizvi</surname> <given-names>H</given-names>
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<surname>Meehan</surname> <given-names>B</given-names>
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<surname>Fu</surname> <given-names>Z</given-names>
</name>
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<surname>Wang</surname> <given-names>XQD</given-names>
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<surname>Fiset</surname> <given-names>PO</given-names>
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</ref-list>
<glossary>
<title>Glossary</title>
<def-list>
<def-item>
<term>NSCLC</term>
<def><p>non-small cell lung cancer</p></def>
</def-item>
<def-item>
<term>EGFR</term>
<def><p>epidermal growth factor receptor</p></def>
</def-item>
<def-item>
<term>ALK</term>
<def><p>anaplastic lymphoma receptor tyrosine kinase</p></def>
</def-item>
<def-item>
<term>KRAS</term>
<def><p>kirsten rat sarcoma viral oncogene homolog</p></def>
</def-item>
<def-item>
<term>ROS1</term>
<def><p>proto-oncogene tyrosine-protein kinase</p></def>
</def-item>
<def-item>
<term>RET</term>
<def><p>rearranged during transfection proto-oncogene</p></def>
</def-item>
<def-item>
<term>RAS</term>
<def><p>rat sarcoma viral oncogene homolog</p></def>
</def-item>
<def-item>
<term>GTP</term>
<def><p>guanosine triphosphate</p></def>
</def-item>
<def-item>
<term>GDP</term>
<def><p>guanosine diphosphate</p></def>
</def-item>
<def-item>
<term>GEFs</term>
<def><p>guanine nucleotide exchange factors</p></def>
</def-item>
<def-item>
<term>GAPs</term>
<def><p>GTPase-activating proteins</p></def>
</def-item>
<def-item>
<term>FGFR</term>
<def><p>fibroblast growth factor receptor</p></def>
</def-item>
<def-item>
<term>HER2&#x2013;4/ERBB2&#x2013;4</term>
<def><p>human epidermal growth factor receptors 2&#x2013;4</p></def>
</def-item>
<def-item>
<term>Raf</term>
<def><p>rat fibrosarcoma</p></def>
</def-item>
<def-item>
<term>MEK</term>
<def><p>mitogen-activated protein kinase kinase</p></def>
</def-item>
<def-item>
<term>ERK</term>
<def><p>extracellular regulated kinase</p></def>
</def-item>
<def-item>
<term>PI3K</term>
<def><p>phosphoinositide 3-kinase</p></def>
</def-item>
<def-item>
<term>Akt/PKB</term>
<def><p>protein kinase B</p></def>
</def-item>
<def-item>
<term>RASSF1</term>
<def><p>Ras association domain family 1</p></def>
</def-item>
<def-item>
<term>MAPK</term>
<def><p>mitogen-activated protein kinase</p></def>
</def-item>
<def-item>
<term>RAL</term>
<def><p>RAS-associated protein</p></def>
</def-item>
<def-item>
<term>PFS</term>
<def><p>progression-free survival</p></def>
</def-item>
<def-item>
<term>OS</term>
<def><p>overall survival</p></def>
</def-item>
<def-item>
<term>WT</term>
<def><p>wild type</p></def>
</def-item>
<def-item>
<term>DCR</term>
<def><p>disease control rate</p></def>
</def-item>
<def-item>
<term>LUAD</term>
<def><p>lung adenocarcinoma</p></def>
</def-item>
<def-item>
<term>VEGF</term>
<def><p>vascular endothelial growth factor</p></def>
</def-item>
<def-item>
<term>IL-8</term>
<def><p>CXC chemokine interleukin-8</p></def>
</def-item>
<def-item>
<term>BEV</term>
<def><p>bevacizumab</p></def>
</def-item>
<def-item>
<term>EGFR-TKIs</term>
<def><p>EGFR tyrosine kinase inhibitors</p></def>
</def-item>
<def-item>
<term>S-IIP</term>
<def><p>switch II pocket</p></def>
</def-item>
<def-item>
<term>mPFS</term>
<def><p>median progression-free survival</p></def>
</def-item>
<def-item>
<term>PD-1</term>
<def><p>programmed cell death protein 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>ICIs</term>
<def><p>immune checkpoint inhibitors</p></def>
</def-item>
<def-item>
<term>ORR</term>
<def><p>objective response rate</p></def>
</def-item>
<def-item>
<term>TME</term>
<def><p>tumor microenvironment</p></def>
</def-item>
<def-item>
<term>TP53</term>
<def><p>tumor protein 53</p></def>
</def-item>
<def-item>
<term>STK11</term>
<def><p>serine-threonine kinase 11</p></def>
</def-item>
<def-item>
<term>LKB1</term>
<def><p>liver kinase B1</p></def>
</def-item>
<def-item>
<term>KL</term>
<def><p>KRAS-STK11/LKB1 co-mutant</p></def>
</def-item>
<def-item>
<term>KP</term>
<def><p>KRAS-TP53 co-mutant</p></def>
</def-item>
<def-item>
<term>AMPK</term>
<def><p>activating phosphorylation of protein kinase</p></def>
</def-item>
<def-item>
<term>TILs</term>
<def><p>tumor-infiltrating lymphocytes</p></def>
</def-item>
<def-item>
<term>IFN</term>
<def><p>interferon</p></def>
</def-item>
<def-item>
<term>IL-6</term>
<def><p>interleukin-6</p></def>
</def-item>
<def-item>
<term>KEAP1</term>
<def><p>Kelch-like ECH-associated protein 1</p></def>
</def-item>
<def-item>
<term>NFE2L2/NRF2</term>
<def><p>negative regulator of nuclear factor erythroid 2-like 2</p></def>
</def-item>
<def-item>
<term>LOF</term>
<def><p>loss of function</p></def>
</def-item>
<def-item>
<term>KLK</term>
<def><p>kallikrein-related peptidases</p></def>
</def-item>
<def-item>
<term>TCA</term>
<def><p>tricarboxylic acid</p></def>
</def-item>
<def-item>
<term>SWI/SNF</term>
<def><p>SWItch/Sucrose Non-Fermentable</p></def>
</def-item>
<def-item>
<term>SMARCA4</term>
<def><p>SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily A, member 4</p></def>
</def-item>
<def-item>
<term>BRG1</term>
<def><p>brahma-related gene1</p></def>
</def-item>
<def-item>
<term>KS</term>
<def><p>KRAS-SMARCA4 co-mutant</p></def>
</def-item>
</def-list>
</glossary>
</back>
</article>