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<article article-type="review-article" dtd-version="1.1" specific-use="sps-1.9" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rfmun</journal-id>
			<journal-title-group>
				<journal-title>Revista de la Facultad de Medicina</journal-title>
				<abbrev-journal-title abbrev-type="publisher">rev.fac.med.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0120-0011</issn>
			<publisher>
				<publisher-name>Universidad Nacional de Colombia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.15446/revfacmed.v71n1.95595</article-id>
                        <article-id pub-id-type="other">10</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Systematic review</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Prevalence of <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> gene mutations in colorectal cancer and their relationship with dental agenesis: a systematic review</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Prevalencia de mutaciones en los genes KRAS, PIK3CA, BRAF y AXIN2 en cáncer colorrectal y su relación con agenesia dental: revisión sistemática</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-7249-4079</contrib-id>
					<name>
						<surname>Sir-Mendoza</surname>
						<given-names>Francisco</given-names>
					</name>
					<xref ref-type="bibr" rid="B1"><sup>1</sup></xref>
					<xref ref-type="bibr" rid="B2"><sup>2</sup></xref>
					<xref ref-type="corresp" rid="c1"><sup>*</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-2350-4194</contrib-id>
					<name>
						<surname>Madera</surname>
						<given-names>Meisser</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-7443-6937</contrib-id>
					<name>
						<surname>González-Martínez</surname>
						<given-names>Farith</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original"> Universidad de Cartagena - Faculty of Dentistry - Department of Research - Cartagena - Colombia.</institution>
				<institution content-type="normalized">Universidad de Cartagena</institution>
				<institution content-type="orgname">Universidad de Cartagena</institution>
				<institution content-type="orgdiv1">Faculty of Dentistry</institution>
				<institution content-type="orgdiv2">Department of Research</institution>
				<addr-line>
					<city>Cartagena</city>
				</addr-line>
				<country country="CO">Colombia</country>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="original"> Universidad Nacional de Colombia - Faculty of Medicine - Institute of Genetics - Bogotá D.C. - Colombia.</institution>
				<institution content-type="normalized">Universidad Nacional de Colombia</institution>
				<institution content-type="orgname">Universidad Nacional de Colombia</institution>
				<institution content-type="orgdiv1">Faculty of Medicine</institution>
				<addr-line>
					<city>Bogotá</city>
					<state>D.C</state>
				</addr-line>
				<country country="CO">Colombia</country>
			</aff>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold> Francisco Javier Sir Mendoza. Faculty of Medicine, Institute of Genetics, Universidad Nacional de Colombia. Bogotá D.C. Colombia. Email: <email>fsir@unal.edu.co</email>.</corresp>
				<fn fn-type="conflict" id="fn3">
					<label>Conflicts of interest</label>
					<p> None stated by the authors. </p>
				</fn>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>24</day>
				<month>06</month>
				<year>2024</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<season>Jan-Mar</season>
				<year>2023</year>
			</pub-date>
			<volume>71</volume>
			<issue>1</issue>
			<elocation-id>e10</elocation-id>
			<history>
				<date date-type="received">
					<day>07</day>
					<month>05</month>
					<year>2021</year>
				</date>
				<date date-type="accepted">
					<day>25</day>
					<month>11</month>
					<year>2021</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title><italic>Abstract</italic></title>
				<sec>
					<title>Introduction: </title>
					<p>The study of allelic and genotypic frequencies contributes to determining the distribution of genetic variants in different populations and their possible association with biomarkers. This knowledge could improve the decision-making process regarding the management of some diseases such as colorectal cancer (CRC), in which the detection of clinical biomarkers such as dental agenesis could be crucial in clinical practice. </p>
				</sec>
				<sec>
					<title>Objective: </title>
					<p>To evaluate the available scientific evidence on the prevalence of mutations in <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> genes and their possible association with tooth agenesis in people with CRC. </p>
				</sec>
				<sec>
					<title>Materials and methods: </title>
					<p>A systematic search was conducted in PubMed, EMBASE and Cochrane Library databases using the following search strategy: type of studies: observational studies reporting the prevalence of <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> mutations in people diagnosed with CRC and their possible association with dental agenesis; publication language: English and Spanish; publication period: 2010-2020; search terms: &quot;Genes&quot;, &quot;RAS&quot;, &quot;Kras&quot;, &quot;PIK3CA&quot;, &quot;BRAF&quot;, &quot;AXIN2&quot;, &quot;Mutation&quot;, &quot;Polymorphism&quot;, &quot;Colorectal Neoplasms&quot; and &quot;Colorectal Cancer&quot;, used in different combinations (&quot;AND&quot; and &quot;OR&quot;). </p>
				</sec>
				<sec>
					<title>Results: </title>
					<p>The initial search yielded 403 records, but only 30 studies met the eligibility criteria. Of these, 11, 5, 5 and 1 only reported the prevalence of <italic>PIK3CA, KRAS, BRAF</italic> and <italic>AXIN2</italic> mutations, respectively; while 8 reported the prevalence of more than one of these mutations in patients with CRC. The prevalence of <italic>KRAS</italic> (p.Gly12Asp), PIK3CA (p.Glu545Lys), and <italic>BRAF</italic> (p.Val600Glu) mutations ranged from 20.5% to 54%, 3.5% to 20.2%, and 2.5% to 12.1%, respectively. There were no findings regarding the association between the occurrence of these mutations and dental agenesis.</p>
				</sec>
				<sec>
					<title>Conclusions: </title>
					<p><italic>
 <italic>KRAS</italic> 
</italic> mutations were the most prevalent; however, there is no evidence on the association between dental agenesis and the occurrence of <italic>KRAS, PIK3CA</italic> and <italic>BRAF</italic> germline mutations in individuals with CRC.</p>
				</sec>
			</abstract>
			<trans-abstract xml:lang="es">
				<title><italic>Resumen</italic></title>
				<sec>
					<title>Introducción. </title>
					<p>El estudio de frecuencias alélicas y genotípicas contribuye a determinar la distribución de variantes genéticas en diferentes poblaciones y su posible asociación con biomarcadores. Este conocimiento podría mejorar la toma de decisiones respecto al manejo de algunas enfermedades como el cáncer colorrectal (CCR), en el cual la detección de biomarcadores clínicos como la agenesia dental podría ser crucial en la práctica clínica. </p>
				</sec>
				<sec>
					<title>Objetivo. </title>
					<p>Evaluar la evidencia científica sobre la prevalencia de mutaciones en los genes <italic>KRAS, PIK3CA, BRAF</italic> y <italic>AXIN2</italic> y su posible asociación con la agenesia dental en individuos con CCR.</p>
				</sec>
				<sec>
					<title>Materiales y métodos. </title>
					<p>Se realizó una búsqueda sistemática en PubMed, Embase y Cochrane Library empleando la siguiente estrategia de búsqueda: tipos de estudio: estudios observacionales que reportaran la prevalencia de mutaciones en los genes <italic>KRAS, PIK3CA, BRAF</italic> y <italic>AXIN2</italic> en personas con CCR y su posible asociación con agenesia dental; idioma: inglés y español; periodo de publicación: 2010-2020; términos de búsqueda: &quot;Genes&quot;, &quot;RAS&quot;, &quot;Kras&quot;, &quot;PIK3CA&quot;, &quot;BRAF&quot;, &quot;AXIN2&quot;, &quot;Mutation&quot;, &quot;Polymorphism&quot;, &quot;Colorectal Neoplasms&quot; y &quot;Colorectal Cancer&quot; en diferentes combinaciones (&quot;AND&quot; y &quot;OR&quot;).</p>
				</sec>
				<sec>
					<title>Resultados. </title>
					<p>Se identificaron 403 registros, pero solo 30 cumplieron con los criterios de elegibilidad. De estos, 11, 5, 5 y 1 solo reportaron la prevalencia de mutaciones en <italic>PIK3CA, KRAS, BRAF</italic> y <italic>AXIN2,</italic> respectivamente, mientras que 8 reportaron la prevalencia de más de una de estas mutaciones en pacientes con CCR. La prevalencia de mutaciones en los genes <italic>KRAS</italic> (p.Gly12Asp), <italic>PIK3CA</italic> (p.Glu545Lys), y <italic>BRAF</italic> (p.Val600Glu) varió entre 20.5% y 54%, 3.5% y 20.2%, y 2.5% y 12.1%, respectivamente. No hubo hallazgos respecto a la asociación entre la ocurrencia de estas mutaciones y la agenesia dental.</p>
				</sec>
				<sec>
					<title>Conclusiones. </title>
					<p>Las mutaciones en el gen <italic>KRAS</italic> fueron las más prevalentes; sin embargo, no hay evidencia de la asociación entre agenesia dental y la ocurrencia de mutaciones en los genes <italic>KRAS, PIK3CA</italic> y <italic>BRAF</italic> en individuos con CCR.</p>
				</sec>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Anodontia</kwd>
				<kwd>Mutation</kwd>
				<kwd>Prevalence</kwd>
				<kwd>Genes</kwd>
				<kwd>Colorectal Cancer</kwd>
				<kwd>Colorectal Neoplasms (MeSH)</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>Anodoncia</kwd>
				<kwd>Mutación</kwd>
				<kwd>Prevalencia</kwd>
				<kwd>Genes</kwd>
				<kwd>Cáncer colorrectal</kwd>
				<kwd>Neoplasma colorrectal (DeCS)</kwd>
			</kwd-group>
			<counts>
				<fig-count count="1"/>
				<table-count count="2"/>
				<equation-count count="0"/>
				<ref-count count="99"/>
				<page-count count="0"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>Colorectal cancer (CRC) is one of the leading causes of morbimortality worldwide.<xref ref-type="bibr" rid="B1"><sup>1</sup></xref> According to demographic and time projections, its global incidence is expected to increase by 60% by 2030, resulting in more than 2.2 million new cases and 1.1 million deaths per year.<xref ref-type="bibr" rid="B2"><sup>2</sup></xref> The pathogenesis of this type of cancer is complex and is not yet fully understood. However, genetic factors reportedly play a critical role in tumorigenesis.<xref ref-type="bibr" rid="B3"><sup>3</sup></xref> In this regard, Kolligs <xref ref-type="bibr" rid="B4"><sup>4</sup></xref> reported that up to one third of the risk of developing CRC can be attributed to hereditary factors. Likewise, people with a family history of CRC are at a higher risk of developing it. Overall, genetic mutations are critical in the development of CRC and several genes and signaling pathways have been associated with its occurrence, including <italic>KRAS, BRAF, PIK3CA, RAS-RAF-MAPK</italic>and <italic>PI3K-PTEN-AKT.</italic><xref ref-type="bibr" rid="B5"><sup>5</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B7"><sup>7</sup></xref>
			</p>
			<p>The main therapeutic approach in CRC patients includes surgery and subsequent chemotherapy, and it has been described that over 75% of cases that receive this treatment can be effectively cured.<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> However, it has also been reported than more than 30% of these patients could develop new neoplastic polyps,<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> suggesting that this treatment is not completely effective.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> Thus, new therapies have been developed, such as anti-epidermal growth factor receptor (anti-EGFR) monoclonal antibodies, considering that EGFR is the major therapeutic target in CRC.<xref ref-type="bibr" rid="B10"><sup>10</sup></xref>
			</p>
			<p>However, it has been described that the efficacy of anti-EGFR therapy is affected when there are mutations in <italic>KRAS, BRAF</italic> and <italic>PIK3CA</italic> genes.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B12"><sup>12</sup></xref> Therefore, these genes constitute important biomarkers in CRC, both in terms of diagnosis and prognosis. In addition, it has been reported that mutations in <italic>AXIN2</italic> gene associated with tooth agenesis could act as a diagnostic biomarker for CRC, so the presence of variants in this gene and of this congenital developmental anomaly of the oral cavity have been proposed as predictive factors of this type of cancer.<xref ref-type="bibr" rid="B13"><sup>13</sup></xref>
			</p>
			<p>Non-syndromic tooth agenesis, the most common human malformation,<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> is the congenital absence of one or more permanent teeth due to alterations occurring during early stages of dental development.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref> In addition, an association between mutations in <italic>AXIN2</italic> gene and teeth development anomalies has been reported in mice, suggesting their possible participation in human dental development.<xref ref-type="bibr" rid="B16"><sup>16</sup></xref> In this sense, Lammi <italic>et al.</italic><xref ref-type="bibr" rid="B16"><sup>
 <italic>16</italic>
</sup></xref> found that a nonsense mutation (p.Arg656Stop) in this gene was associated with the occurrence of tooth agenesis (oligodontia) and predisposition to CRC. Likewise, Rosales-Reynoso <italic>et al.</italic><xref ref-type="bibr" rid="B17"><sup>
 <italic>17</italic>
</sup></xref> reported that patients with the homozygous T/T genotype of the single nucleotide polymorphism rs2240308 in the <italic>AXIN2</italic> gene have a higher risk of CRC.</p>
			<p>Taking this information into account, adequate knowledge about the prevalence of these genetic mutations and their possible association with clinical biomarkers such as tooth agenesis by health professionals is of great importance to improve the average time to diagnosis of CRC and, therefore, the prognosis of these patients, particularly dentists, who have an important role in detecting tooth agenesis. Thus, the aim of this study was to evaluate the available scientific evidence on the prevalence of mutations in genes <italic>KRAS, PIK3CA, BRAF, AXIN2</italic> mutations and their possible association with dental agenesis in people with CRC.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Materials and methods</title>
			<p>We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.<xref ref-type="bibr" rid="B18"><sup>18</sup></xref>
			</p>
			<sec>
				<title>Search strategy</title>
				<p>A structured and systematic search using MeSH and DeCS terms was performed in Medline (Via PubMed), EMBASE (Via Ovid) and Cochrane Library databases using the following search strategy: type of studies: observational studies reporting the prevalence of <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> mutations in people diagnosed with CRC and their possible association with dental agenesis; publication period: January 2010-September 2020; publication languages: English and Spanish; search terms: &quot;Genes&quot;, &quot;RAS&quot;, &quot;Kras&quot;, &quot;PIK3CA&quot;, &quot;BRAF&quot;, &quot;AXIN2&quot;, &quot;Prevalence&quot;, &quot;Mutation&quot;, &quot;Polymorphism&quot;, &quot;Colorectal Neoplasms&quot;, &quot;Colorectal Cancer&quot; and &quot;dental agenesis&quot;, used in different combinations (&quot;AND&quot; and &quot;OR&quot;). The search equation used in each database is shown in <xref ref-type="app" rid="app1">Appendix 1</xref>.</p>
			</sec>
			<sec>
				<title>Screening and selection process</title>
				<p>The titles and abstracts of the records retrieved in the searches were managed using the reference manager software EndNote® (Version X8, Thomson Reuters). After removing duplicates, two reviewers (FS and FG) independently screened all titles/abstracts to exclude those studies that were not relevant for the objective of this systematic review. Then, the full texts of the screened articles were read by the two reviewers to confirm if they addressed the topics of interest for this review and make a decision on their final inclusion for full analysis taking into account the following inclusion criterion: being case-control, cohort or cross-sectional studies addressing the prevalence of <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> mutations/polymorphisms in people with primary (adenocarcinoma) or metastatic CRC and their possible association with tooth agenesis. In addition, studies conducted in animals, those published before 2010, and those addressing other types of genetic alterations and reporting other associations with CRC or in concomitance with other cancers were excluded.</p>
				<p>Disagreements were resolved by consensus, and when necessary, a third reviewer (MM) participated in the discussion until an agreement was reached.</p>
			</sec>
			<sec>
				<title>Methodological quality assessment</title>
				<p>The methodological quality of the selected studies was evaluated independently by two appraisers following criteria previously reported.<xref ref-type="bibr" rid="B19"><sup>19</sup></xref> The following criteria were evaluated: a) research question/aim of the research (1 item); b) participants (5 items); c) comparability between groups studied (4 items); d) definition and measurement of the main variables (4 items); e) statistical analysis and confounders (4 items), global assessment of internal validity; f) results (4 items); g) conclusions, external validity and applicability of results (4 items), and h) conflicts of interest (1 item). Each item was assessed using the following options: &quot;very good&quot;, &quot;good&quot;, &quot;regular&quot;, &quot;bad&quot;, &quot;not reported&quot; and &quot;does not apply&quot;. Regarding the global assessment of the quality of the studies, &quot;high&quot;, &quot;medium&quot; or &quot;low&quot; categories were used.</p>
				<p>Two authors (FS and FG) established a grading system by assigning &quot;5&quot;, &quot;4&quot;, &quot;3&quot;, &quot;2&quot;, &quot;1&quot; and &quot;0&quot; points to the &quot;very good&quot;, &quot;good&quot;, &quot;regular&quot;, &quot;bad&quot;, &quot;not reported&quot; and &quot;does not apply&quot; assessment criteria, with 135 and 27 being the maximum and minimum scores, respectively. Studies with a score between 81 and 107 and with regular internal validity were classified as having &quot;medium&quot; methodological quality, while those with a score &gt;108, as having a &quot;high&quot; methodological quality.</p>
				<p>Finally, it should be noted that in those studies in which the assessment of the &quot;comparability between groups studied&quot; criteria was not possible due to the study design, the maximum and minimum scores were 115and 23, respectively. In these cases, studies with regular internal validity and with a score between 69 and 91 and those with a score &gt;92 were considered to have &quot;medium&quot; and &quot;high&quot; methodological quality, respectively.</p>
			</sec>
			<sec>
				<title>Data extraction and analysis</title>
				<p>The following information was extracted for each study: first author, publication year, geographic region in which the study was conducted, sample size, general prevalence of the mutation, mutation prevalence by sex (male and female), mutation (changes in amino acids) and sequencing techniques. The information was included in tables and organized by genes.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<sec>
				<title>Selection and characterization of studies</title>
				<p>The study selection process is presented in <xref ref-type="fig" rid="f1">Figure 1</xref>. In total, 30 articles were included for full analysis.</p>
				<p>
					<fig id="f1">
						<label>Figure 1</label>
						<caption>
							<title>Study selection process. </title>
						</caption>
						<graphic xlink:href="0120-0011-rfmun-71-01-e10-gf1.png"/>
						<attrib>Source: own elaboration.</attrib>
					</fig>
				</p>
				<p>Regarding their geographical distribution, 10 studies were conducted in Asia; 8, in America; 5, in the Middle East; 3, in Europe; 2, in Oceania, and 1, in Africa. Regarding sample size, studies addressing KRAS, PIK3CA and BRAF mutations were conducted in samples ranging from 49 to 5 732, 61 to 2 299, and 17 to 1 110 individuals, respectively. Besides, all studies were cross-sectional (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
				<p>
					<table-wrap id="t1">
						<label>Table 1</label>
						<caption>
							<title>General characteristics of the studies included for full analysis.</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center">Authors (year)</th>
									<th align="center">Country</th>
									<th align="center">Study design</th>
									<th align="center">Sample</th>
									<th align="center">Genes assessed</th>
									<th align="center">MQA</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left">Gavin <italic>et al.</italic><xref ref-type="bibr" rid="B20"><sup>
 <italic>20</italic>
</sup></xref> (2012)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">2 299</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Palomba <italic>et al.</italic><xref ref-type="bibr" rid="B21"><sup>
 <italic>21</italic>
</sup></xref> (2012)</td>
									<td align="left">Italy</td>
									<td align="center">CSS</td>
									<td align="center">384</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Mao <italic>et al.</italic><xref ref-type="bibr" rid="B22"><sup>
 <italic>22</italic>
</sup></xref> (2012)</td>
									<td align="left">China</td>
									<td align="center">CSS</td>
									<td align="center">61</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Liao <italic>et al.</italic><xref ref-type="bibr" rid="B23"><sup>
 <italic>23</italic>
</sup></xref> (2012)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">1 170</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Watanabe <italic>et al.</italic><xref ref-type="bibr" rid="B24"><sup>
 <italic>24</italic>
</sup></xref> (2013)</td>
									<td align="left">Japan</td>
									<td align="center">CSS</td>
									<td align="center">5 732</td>
									<td align="center"><italic>KRAS</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Shen <italic>et al.</italic><xref ref-type="bibr" rid="B25"><sup>
 <italic>25</italic>
</sup></xref> (2013)</td>
									<td align="left">China</td>
									<td align="center">CSS</td>
									<td align="center">674</td>
									<td align="center"><italic>KRAS, BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Patil <italic>et al.</italic><xref ref-type="bibr" rid="B26"><sup>
 <italic>26</italic>
</sup></xref> (2013)</td>
									<td align="left">India</td>
									<td align="center">CSS</td>
									<td align="center">1 323</td>
									<td align="center"><italic>KRAS</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Chang <italic>et al.</italic><xref ref-type="bibr" rid="B21"><sup>
 <italic>21</italic>
</sup></xref> (2013)</td>
									<td align="left">Taiwan</td>
									<td align="center">CSS</td>
									<td align="center">165</td>
									<td align="center"><italic>KRAS, BRAF</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Rosty <italic>et al.</italic><xref ref-type="bibr" rid="B28"><sup>
 <italic>28</italic>
</sup></xref> (2013)</td>
									<td align="left">Australia</td>
									<td align="center">CSS</td>
									<td align="center">757</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Kang <italic>et al.</italic><xref ref-type="bibr" rid="B29"><sup>
 <italic>29</italic>
</sup></xref> (2013)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">150</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Marchoudi <italic>et al.</italic><xref ref-type="bibr" rid="B30"><sup>
 <italic>30</italic>
</sup></xref> (2013)</td>
									<td align="left">Morocco</td>
									<td align="center">CSS</td>
									<td align="center">92</td>
									<td align="center"><italic>BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Samadder <italic>et al.</italic><xref ref-type="bibr" rid="B31"><sup>
 <italic>31</italic>
</sup></xref> (2013)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">563</td>
									<td align="center"><italic>BRAF</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Baskin <italic>et al.</italic><xref ref-type="bibr" rid="B32"><sup>
 <italic>32</italic>
</sup></xref> (2014)</td>
									<td align="left">Turkey</td>
									<td align="center">CSS</td>
									<td align="center">49</td>
									<td align="center"><italic>KRAS</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Imamura <italic>et al.</italic><xref ref-type="bibr" rid="B33"><sup>
 <italic>33</italic>
</sup></xref> (2014)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">1 267</td>
									<td align="center"><italic>KRAS</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Bader &amp; Ismail<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> (2014)</td>
									<td align="left">Saudi Arabia</td>
									<td align="center">CSS</td>
									<td align="center">83</td>
									<td align="center"><italic>KRAS</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Chen <italic>et al.</italic><xref ref-type="bibr" rid="B35"><sup>
 <italic>35</italic>
</sup></xref> (2014)</td>
									<td align="left">China</td>
									<td align="center">CSS</td>
									<td align="center">214</td>
									<td align="center"><italic>KRAS, PIK3CA,</italic>
 <italic>BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Bisht <italic>et al.</italic><xref ref-type="bibr" rid="B36"><sup>
 <italic>36</italic>
</sup></xref> (2014)</td>
									<td align="left">India</td>
									<td align="center">CSS</td>
									<td align="center">204</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Russo <italic>et al.</italic><xref ref-type="bibr" rid="B37"><sup>
 <italic>37</italic>
</sup></xref> (2014)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">222</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Siraj <italic>et al.</italic><xref ref-type="bibr" rid="B38"><sup>
 <italic>38</italic>
</sup></xref> (2014)</td>
									<td align="left">Saudi Arabia</td>
									<td align="center">CSS</td>
									<td align="center">757</td>
									<td align="center"><italic>BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Ye <italic>et al.</italic><xref ref-type="bibr" rid="B39"><sup>
 <italic>39</italic>
</sup></xref> (2015)</td>
									<td align="left">China</td>
									<td align="center">CSS</td>
									<td align="center">535</td>
									<td align="center"><italic>KRAS, BRAF</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Zhang <italic>et al.</italic><xref ref-type="bibr" rid="B7"><sup>
 <italic>7</italic>
</sup></xref> (2015)</td>
									<td align="left">China</td>
									<td align="center">CSS</td>
									<td align="center">1 110</td>
									<td align="center"><italic>KRAS, PIK3CA,</italic>
 <italic>BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Phipps et <italic>al.</italic><xref ref-type="bibr" rid="B40"><sup>
 <italic>40</italic>
</sup></xref> (2015)</td>
									<td align="left">United States, Canada, Australia</td>
									<td align="center">CSS</td>
									<td align="center">377</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Foltran et al.<xref ref-type="bibr" rid="B41"><sup>41</sup></xref> (2015)</td>
									<td align="left">Italy</td>
									<td align="center">CSS</td>
									<td align="center">194</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Allard et al.<xref ref-type="bibr" rid="B42"><sup>42</sup></xref> (2015)</td>
									<td align="left">France</td>
									<td align="center">CSS</td>
									<td align="center">1 428</td>
									<td align="center"><italic>BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Vatandoust <italic>et al.</italic><xref ref-type="bibr" rid="B43"><sup>
 <italic>43</italic>
</sup></xref> (2016)</td>
									<td align="left">Australia</td>
									<td align="center">CSS</td>
									<td align="center">3 318</td>
									<td align="center"><italic>KRAS, BRAF</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Watson <italic>et al.</italic><xref ref-type="bibr" rid="B44"><sup>
 <italic>44</italic>
</sup></xref> (2016)</td>
									<td align="left">United States</td>
									<td align="center">CSS</td>
									<td align="center">447</td>
									<td align="center"><italic>KRAS, BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Al-Shamsi <italic>et al.</italic><xref ref-type="bibr" rid="B45"><sup>
 <italic>45</italic>
</sup></xref> (2016)</td>
									<td align="left">Arab countries</td>
									<td align="center">CSS</td>
									<td align="center">99</td>
									<td align="center"><italic>KRAS, PIK3CA,</italic>
 <italic>BRAF</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Molaei et <italic>al.</italic><xref ref-type="bibr" rid="B46"><sup>
 <italic>46</italic>
</sup></xref> (2016)</td>
									<td align="left">Iran</td>
									<td align="center">CSS</td>
									<td align="center">85</td>
									<td align="center"><italic>BRAF</italic></td>
									<td align="center">Medium</td>
								</tr>
								<tr>
									<td align="left">Jauhri et al.<xref ref-type="bibr" rid="B47"><sup>47</sup></xref> (2017)</td>
									<td align="left">India</td>
									<td align="center">CSS</td>
									<td align="center">112</td>
									<td align="center"><italic>PIK3CA</italic></td>
									<td align="center">High</td>
								</tr>
								<tr>
									<td align="left">Chang et al.<xref ref-type="bibr" rid="B48"><sup>48</sup></xref> (2020)</td>
									<td align="left">Taiwan</td>
									<td align="center">CSS</td>
									<td align="center">161</td>
									<td align="center"><italic>AXIN2</italic></td>
									<td align="center">High</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p>MQA: Methodological quality assessment; CSS: Cross-sectional study. </p>
							</fn>
							<fn id="TFN2">
								<p>Source: Own elaboration.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</sec>
			<sec>
				<title>Methodological quality assessment</title>
				<p>Based on the scores obtained using the critical appraisal of epidemiological cross-sectional studies instrument, it was determined that 23 studies had &quot;high&quot; methodological quality, while the remaining 7 studies had &quot;medium&quot; quality (<xref ref-type="table" rid="t1">Table 1</xref>). The domains with the highest mean scores were &quot;participants&quot; and &quot;results&quot;, whereas the lowest mean scores were observed in the &quot;statistical analysis and confounders&quot; domain.</p>
			</sec>
			<sec>
				<title>Prevalence of mutations</title>
			</sec>
			<sec>
				<title><italic>
 <italic>KRAS</italic>
</italic></title>
				<p>The highest overall prevalence of mutations in this gene was 54% in a sample of 447 individuals and the lowest, 20.5% in a sample of 1 323 people. The highest prevalence by sex was 65.7% and 50% in males and females, respectively. Moreover, in 46.15% and 23.08% of the studies, direct sequencing and next-generation sequencing (NGS) were carried out to identify mutations. The most frequent mutation consisted of an amino acid change from glycine into aspartic acid in codon 12 (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
			</sec>
			<sec>
				<title><italic>
 <italic>PIK3CA</italic>
</italic></title>
				<p>The highest general prevalence of mutations in <italic>PIK3CA</italic> was 20.2% in a sample of 2 299 people and the lowest, 3.5% in a sample of 1 110 individuals. In addition, the highest prevalence of mutations in men was 65.4%, and in women, 50%. Mutations were identified by means of direct sequencing and NGS in 57.14% and 21.43% of the studies, respectively. The most frequent mutation was the substitution of glutamic acid by lysine in codon 545 (p.Glu545Lys) (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
				<p>
					<table-wrap id="t2">
						<label><bold>Table</bold></label>
						<caption>
							<title>2. Prevalence of mutations by gene and sequencing technique reported by the studies included in the review.</title>
						</caption>
						<table>
							<colgroup>
								<col/>
								<col/>
								<col span="3"/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="center" rowspan="3">Gene</th>
									<th align="center" rowspan="3">Author (year)</th>
									<th align="center" colspan="3">Prevalence of mutations (%) </th>
									<th align="center">Most frequent mutation (%)</th>
									<th align="center">Sequencing technique</th>
								</tr>
								<tr>
									<th align="center">General (%)</th>
									<th align="center" colspan="2">Sex (%) </th>
									<th align="center"> </th>
									<th align="left"> </th>
								</tr>
								<tr>
									<th align="left"> </th>
									<th align="center">Male</th>
									<th align="center">Female</th>
									<th align="left"> </th>
									<th align="left"> </th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td align="left" rowspan="13"><italic>KRAS</italic></td>
									<td align="left">Watanabe <italic>et al.</italic><xref ref-type="bibr" rid="B24"><sup>
 <italic>24</italic>
</sup></xref> (2013)</td>
									<td align="center">37.6</td>
									<td align="center">21.4</td>
									<td align="center">16.1</td>
									<td align="left">NR</td>
									<td align="left">DS, LA</td>
								</tr>
								<tr>
									<td align="left">Shen <italic>et al.</italic><xref ref-type="bibr" rid="B25"><sup>
 <italic>25</italic>
</sup></xref> (2013)</td>
									<td align="center">35.9</td>
									<td align="center">19.0</td>
									<td align="center">16.5</td>
									<td align="left">G12D (13.6)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Patil <italic>et al.</italic><xref ref-type="bibr" rid="B26"><sup>
 <italic>26</italic>
</sup></xref> (2013)</td>
									<td align="center">20.5</td>
									<td align="center">13.8</td>
									<td align="center">6.6</td>
									<td align="left">G12A (36.5)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Chang <italic>et al.</italic><xref ref-type="bibr" rid="B27"><sup>
 <italic>27</italic>
</sup></xref> (2013)</td>
									<td align="center">35.7</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">G12D (35.5)</td>
									<td align="left">PEA</td>
								</tr>
								<tr>
									<td align="left">Baskin <italic>et al.</italic><xref ref-type="bibr" rid="B32"><sup>
 <italic>32</italic>
</sup></xref> (2014)</td>
									<td align="center">32.1</td>
									<td align="center">20.2</td>
									<td align="center">14.2</td>
									<td align="left">G12D (12.2)</td>
									<td align="left">ARMS</td>
								</tr>
								<tr>
									<td align="left">Imamura <italic>et al.</italic><xref ref-type="bibr" rid="B33"><sup>
 <italic>33</italic>
</sup></xref> (2014)</td>
									<td align="center">39.8</td>
									<td align="center">19.8</td>
									<td align="center">20.0</td>
									<td align="left">G12D (12)</td>
									<td align="left">PS</td>
								</tr>
								<tr>
									<td align="left">Bader &amp; Ismail<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> (2014)</td>
									<td align="center">42.2</td>
									<td align="center">27</td>
									<td align="center">14</td>
									<td align="left">G12D (45.7)</td>
									<td align="left">AA</td>
								</tr>
								<tr>
									<td align="left">Chen <italic>et al.</italic><xref ref-type="bibr" rid="B35"><sup>
 <italic>35</italic>
</sup></xref> (2014)</td>
									<td align="center">44.9</td>
									<td align="center">25.4</td>
									<td align="center">19.8</td>
									<td align="left">G12D (35.4)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Ye <italic>et al.</italic><xref ref-type="bibr" rid="B39"><sup>
 <italic>39</italic>
</sup></xref> (2015)</td>
									<td align="center">37.9</td>
									<td align="center">20.6</td>
									<td align="center">17.3</td>
									<td align="left">G12D (18.4)</td>
									<td align="left">DS, ARMS</td>
								</tr>
								<tr>
									<td align="left">Zhang <italic>et al.</italic><xref ref-type="bibr" rid="B7"><sup>
 <italic>7</italic>
</sup></xref> (2015)</td>
									<td align="center">45.4</td>
									<td align="center">25.7</td>
									<td align="center">19.6</td>
									<td align="left">G12D (40.7)</td>
									<td align="left">DS, ARMS, NGS</td>
								</tr>
								<tr>
									<td align="left">Vatandoust <italic>et al.</italic><xref ref-type="bibr" rid="B43"><sup>
 <italic>43</italic>
</sup></xref> (2016)</td>
									<td align="center">38.9</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">NR</td>
									<td align="left">NR</td>
								</tr>
								<tr>
									<td align="left">Watson <italic>et al.</italic><xref ref-type="bibr" rid="B44"><sup>
 <italic>44</italic>
</sup></xref> (2016)</td>
									<td align="center">54</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">NR</td>
									<td align="left">PS, NGS, SNuPE</td>
								</tr>
								<tr>
									<td align="left">Al-Shamsi <italic>et al.</italic><xref ref-type="bibr" rid="B45"><sup>
 <italic>45</italic>
</sup></xref> (2016)</td>
									<td align="center">44.4</td>
									<td align="center">25.2</td>
									<td align="center">19.1</td>
									<td align="left">NR</td>
									<td align="left">NGS</td>
								</tr>
								<tr>
									<td align="left" rowspan="14"><italic>PIK3CA</italic></td>
									<td align="left">Gavin <italic>et al.</italic><xref ref-type="bibr" rid="B20"><sup>
 <italic>20</italic>
</sup></xref> (2012)</td>
									<td align="center">20.1</td>
									<td align="center">10.4</td>
									<td align="center">9.7</td>
									<td align="left">NR</td>
									<td align="left">AA</td>
								</tr>
								<tr>
									<td align="left">Palomba <italic>et al.</italic><xref ref-type="bibr" rid="B21"><sup>
 <italic>21</italic>
</sup></xref> (2012)</td>
									<td align="center">17.4</td>
									<td align="center">9.8</td>
									<td align="center">7.5</td>
									<td align="left">E545A (14)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Mao <italic>et al.</italic><xref ref-type="bibr" rid="B22"><sup>
 <italic>22</italic>
</sup></xref> (2012)</td>
									<td align="center">8.2</td>
									<td align="center">4.9</td>
									<td align="center">3.2</td>
									<td align="left">H1047L (7)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Liao <italic>et al.</italic><xref ref-type="bibr" rid="B23"><sup>
 <italic>23</italic>
</sup></xref> (2012)</td>
									<td align="center">16</td>
									<td align="center">8.2</td>
									<td align="center">7.8</td>
									<td align="left">NR</td>
									<td align="left">PS</td>
								</tr>
								<tr>
									<td align="left">Rosty <italic>et al.</italic><xref ref-type="bibr" rid="B28"><sup>
 <italic>28</italic>
</sup></xref> (2013)</td>
									<td align="center">14</td>
									<td align="center">6.8</td>
									<td align="center">7.2NR</td>
									<td align="left">E542K (35)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Kang <italic>et al.</italic><xref ref-type="bibr" rid="B29"><sup>
 <italic>29</italic>
</sup></xref> (2013)</td>
									<td align="center">12</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">NR</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Chen <italic>et al.</italic><xref ref-type="bibr" rid="B35"><sup>
 <italic>35</italic>
</sup></xref> (2014)</td>
									<td align="center">12.3</td>
									<td align="center">8.0</td>
									<td align="center">4.2.</td>
									<td align="left">H1047R (31)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Bisht <italic>et al.</italic><xref ref-type="bibr" rid="B36"><sup>
 <italic>36</italic>
</sup></xref> (2014)</td>
									<td align="center">5.9</td>
									<td align="center">2.9</td>
									<td align="center">2.9</td>
									<td align="left">E545K (3.4)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Russo <italic>et al.</italic><xref ref-type="bibr" rid="B37"><sup>
 <italic>37</italic>
</sup></xref> (2014)</td>
									<td align="center">13</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">NR</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Zhang <italic>et al.</italic><xref ref-type="bibr" rid="B7"><sup>
 <italic>7</italic>
</sup></xref> (2015)</td>
									<td align="center">3.5</td>
									<td align="center">1.9</td>
									<td align="center">1.5</td>
									<td align="left">H1047R (3.5)</td>
									<td align="left">DS, ARMS, NGS</td>
								</tr>
								<tr>
									<td align="left">Phipps <italic>et al.</italic><xref ref-type="bibr" rid="B40"><sup>
 <italic>40</italic>
</sup></xref> (2015)</td>
									<td align="center">11</td>
									<td align="center">4.5</td>
									<td align="center">6.6</td>
									<td align="left">E542K,E545K (64)</td>
									<td align="left">PS</td>
								</tr>
								<tr>
									<td align="left">Foltran <italic>et al.</italic><xref ref-type="bibr" rid="B41"><sup>
 <italic>41</italic>
</sup></xref> (2015)</td>
									<td align="center">16.49</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">E545K (56)</td>
									<td align="left">PS</td>
								</tr>
								<tr>
									<td align="left">Al-Shamsi <italic>et al.</italic><xref ref-type="bibr" rid="B45"><sup>
 <italic>45</italic>
</sup></xref> (2016)</td>
									<td align="center">13.1</td>
									<td align="center">5.1</td>
									<td align="center">8.08</td>
									<td align="left">NR</td>
									<td align="left">NGS</td>
								</tr>
								<tr>
									<td align="left">Jauhri <italic>et al.</italic><xref ref-type="bibr" rid="B47"><sup>
 <italic>47</italic>
</sup></xref> (2017)</td>
									<td align="center">16.1</td>
									<td align="center">13.3</td>
									<td align="center">2.6</td>
									<td align="left">E545A, E545K, H1047R (15.8)</td>
									<td align="left">NGS</td>
								</tr>
								<tr>
									<td align="left" rowspan="14"><italic>BRAF</italic></td>
									<td align="left">Chang <italic>et al.</italic><xref ref-type="bibr" rid="B27"><sup>
 <italic>27</italic>
</sup></xref> (2013)</td>
									<td align="center">4.24</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">V600E (100)</td>
									<td align="left">HRM</td>
								</tr>
								<tr>
									<td align="left">Shen <italic>et al.</italic><xref ref-type="bibr" rid="B25"><sup>
 <italic>25</italic>
</sup></xref> (2013)</td>
									<td align="center">6.96</td>
									<td align="center">4.1</td>
									<td align="center">2.8</td>
									<td align="left">V600E (1.8)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Marchoudi <italic>et al.</italic><xref ref-type="bibr" rid="B30"><sup>
 <italic>30</italic>
</sup></xref> (2013)</td>
									<td align="center">5.4</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">V600E (100)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Samadder <italic>et al.</italic><xref ref-type="bibr" rid="B31"><sup>
 <italic>31</italic>
</sup></xref> (2013)</td>
									<td align="center">27</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">V600E (100)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Chen <italic>et al.</italic><xref ref-type="bibr" rid="B35"><sup>
 <italic>35</italic>
</sup></xref> (2014)</td>
									<td align="center">4.2</td>
									<td align="center">2.3</td>
									<td align="center">1.8</td>
									<td align="left">V600E (89)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Siraj <italic>et al.</italic><xref ref-type="bibr" rid="B38"><sup>
 <italic>38</italic>
</sup></xref> (2014)</td>
									<td align="center">2.5</td>
									<td align="center">1.4</td>
									<td align="center">1.0</td>
									<td align="left">V600E (89.5)</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Allard <italic>et al.</italic><xref ref-type="bibr" rid="B42"><sup>
 <italic>42</italic>
</sup></xref> (2015)</td>
									<td align="center">6.4</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">V600E (100)</td>
									<td align="left">HRM, DS</td>
								</tr>
								<tr>
									<td align="left">Zhang <italic>et al.</italic><xref ref-type="bibr" rid="B7"><sup>
 <italic>7</italic>
</sup></xref> (2015)</td>
									<td align="center">3.1</td>
									<td align="center">1.6</td>
									<td align="center">1.4</td>
									<td align="left">V600E (100)</td>
									<td align="left">DS, ARMS, NGS</td>
								</tr>
								<tr>
									<td align="left">Ye <italic>et al.</italic><xref ref-type="bibr" rid="B39"><sup>
 <italic>39</italic>
</sup></xref> (2015)</td>
									<td align="center">4.4</td>
									<td align="center">1.5</td>
									<td align="center">2.8</td>
									<td align="left">V600E (80)</td>
									<td align="left">DS, ARMS</td>
								</tr>
								<tr>
									<td align="left">Vatandoust <italic>et al.</italic><xref ref-type="bibr" rid="B43"><sup>
 <italic>43</italic>
</sup></xref> (2016)</td>
									<td align="center">12.1</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">NR</td>
									<td align="left">NR</td>
								</tr>
								<tr>
									<td align="left">Al-Shamsi <italic>et al.</italic><xref ref-type="bibr" rid="B45"><sup>
 <italic>45</italic>
</sup></xref> (2016)</td>
									<td align="center">4.0</td>
									<td align="center">2.0</td>
									<td align="center">2.0</td>
									<td align="left">NR</td>
									<td align="left">NGS</td>
								</tr>
								<tr>
									<td align="left">Molaei <italic>et al.</italic><xref ref-type="bibr" rid="B46"><sup>
 <italic>46</italic>
</sup></xref> (2016)</td>
									<td align="center">0</td>
									<td align="center">0</td>
									<td align="center">0</td>
									<td align="left">NR</td>
									<td align="left">DS</td>
								</tr>
								<tr>
									<td align="left">Watson <italic>et al.</italic><xref ref-type="bibr" rid="B44"><sup>
 <italic>44</italic>
</sup></xref> (2016)</td>
									<td align="center">0</td>
									<td align="center">0</td>
									<td align="center">0</td>
									<td align="left">NR</td>
									<td align="left">PS, NGS</td>
								</tr>
								<tr>
									<td align="left"><italic>AXIN2</italic></td>
									<td align="left">Chang <italic>et al.</italic><xref ref-type="bibr" rid="B48"><sup>
 <italic>48</italic>
</sup></xref> (2020)</td>
									<td align="center">21.7</td>
									<td align="center">NR</td>
									<td align="center">NR</td>
									<td align="left">A603P (11.4)</td>
									<td align="left">NGS</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN3">
								<p>DS: Direct sequencing; LA: Luminex assay; PEA: Primer extension assay; ARMS: Amplification refractory mutations system-PCR, PS: Pyrosequencing; AA: Array analysis; NGS: Next-generation sequencing; NR: Not reported; SNuPE: Single-nucleotide primer extension; HRM: High resolution melting. </p>
							</fn>
							<fn id="TFN4">
								<p>Source: Own elaboration.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</sec>
			<sec>
				<title><italic>
 <italic>BRAF</italic>
</italic></title>
				<p>The highest overall prevalence of mutations was 27% in a sample of 563 individuals and the lowest, 2.5% in a sample of 757 individuals. Besides, it is worth noting that BRAF mutations were not identified in two studies. The highest prevalence in men was 55.6%, and in women, 44.4%. Mutations were detected using direct sequencing and NGS in 69.23% and 23.08% of the studies, respectively. The most frequent variant was an amino-acid change of valine by glutamate in codon 600 (p.Val600EGlu) (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
			</sec>
			<sec>
				<title><italic>
 <italic>AXIN2</italic>
</italic></title>
				<p>Only one study (conducted in Taiwan) addressed AXIN2 mutations.<xref ref-type="bibr" rid="B48"><sup>48</sup></xref> The general prevalence of mutations was 21.7% in a sample of 161 individuals. Mutations were identified using NGS, being p.A603P the most frequent mutation (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
			</sec>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>The fact that cancer cells have multiple genetic mutations suggests that the development and progression of tumors could be partially caused by mutagenesis. Additionally, these mutations can contribute to developing resistance to conventional oncological therapies, such as chemotherapy.<xref ref-type="bibr" rid="B49"><sup>49</sup></xref> Currently, scientific evidence shows that, despite the development of new drugs, therapy against cancer is limited, since new ways of resistance have emerged, such as drug inactivation, alteration of drug targets, drug efflux, and cell death inhibition.<xref ref-type="bibr" rid="B50"><sup>50</sup></xref>
			</p>
			<p>Taking the above into account, understanding the distribution of mutations in oncogenes in cancer patients is essential to improve both the knowledge of the genomic profile of malignant diseases and personalized medicine, since a better understanding of the cancer genome is important to choose the best treatment for each oncological patient according to their individual characteristics.<xref ref-type="bibr" rid="B51"><sup>51</sup></xref>
			</p>
			<p>Several studies have reported the presence of mutations in multiple genes involved in the development and progression of CRC, being <italic>KRAS, PIK3CA</italic> and <italic>BRAF</italic> the ones with the highest prevalence of mutations.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B7"><sup>7</sup></xref>In addition, <italic>AXIN2</italic> has been identified as a potentially useful gene in the early diagnosis of CRC through clinical markers such tooth agenesis.<xref ref-type="bibr" rid="B16"><sup>16</sup></xref>
			</p>
			<p>Regarding <italic>KRAS</italic> gene, it has been described that mutations in this gene are the mutations most frequently identified in the development of human tumors (approximately 30%).<xref ref-type="bibr" rid="B52"><sup>52</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B53"><sup>53</sup></xref><italic>KRAS</italic> encodes for a protein constituted by 188 residues of amino acids involved in molecular pathways activation that allows signal transduction from the cell surface to the nucleus.<xref ref-type="bibr" rid="B54"><sup>54</sup></xref><italic>KRAS</italic> is found in chromosome 12 and is a member of the RAS gene family; mutations in this gene comprise 86% of all RAS family mutations, being most frequently observed in codons 12 and 13 of exon 2,<xref ref-type="bibr" rid="B55"><sup>55</sup></xref> and less frequently, in codons 61<xref ref-type="bibr" rid="B56"><sup>56</sup></xref> and 146.<xref ref-type="bibr" rid="B57"><sup>57</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B58"><sup>58</sup></xref> In addition, the main mutation in <italic>KRAS</italic> consists of a G&gt;A transition followed by a G&gt;T transversion in exon 1.<xref ref-type="bibr" rid="B59"><sup>59</sup></xref>
			</p>
			<p><italic>KRAS</italic> has been studied as a predictive molecular marker of anti-EGFR monoclonal antibody resistance in primary and metastatic CRC patients.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B60"><sup>60</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B61"><sup>61</sup></xref> In the presence of <italic>KRAS</italic> mutations, GTPase activity decreases and the <italic>KRAS</italic> mutant protein remains bound to GTP in its active conformation, transmitting signals continuously. As a result, signal transmission is not blocked by EGFR inhibitors and the effects of this therapy are scarce or cannot be observed.<xref ref-type="bibr" rid="B62"><sup>62</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B64"><sup>64</sup></xref>
			</p>
			<p>In the present review, the prevalence of <italic>KRAS</italic> mutations ranged between 20.5% to 54.<xref ref-type="bibr" rid="B7"><sup>7</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B24"><sup>24</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B27"><sup>27</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B32"><sup>32</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B35"><sup>35</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B39"><sup>39</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B43"><sup>43</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B45"><sup>45</sup></xref> Regarding the prevalence of these mutations in different regions of the world, the following was found:</p>
			<p>
				<list list-type="roman-lower">
					<list-item>
						<p>In America, the highest prevalence was 54% in a sample of 447 individuals,<xref ref-type="bibr" rid="B44"><sup>44</sup></xref> while the lowest was 40% in a sample of 1 267 people.<xref ref-type="bibr" rid="B33"><sup>33</sup></xref> In relation to sex distribution, the highest prevalence of mutations in males was 19.8, while in females it was 20%.<xref ref-type="bibr" rid="B33"><sup>33</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>In Asia, the highest prevalence of <italic>KRAS</italic> mutations was found in China (45.4% in a total sample of 1 110 individuals),<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> while the lowest was found in India (20.5% in a sample of 1 323 people.<xref ref-type="bibr" rid="B26"><sup>26</sup></xref> Regarding sex distribution, the highest prevalence of mutations in males was 25.7%,<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> while in females it was 19.8%.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>In the Middle East, the highest prevalence of <italic>KRAS</italic> mutations was 44.4% in a sample of 99 individuals from several countries,<xref ref-type="bibr" rid="B45"><sup>45</sup></xref> and the lowest prevalence was 30.6% in a sample of 49 people from Turkey.<xref ref-type="bibr" rid="B32"><sup>32</sup></xref> In addition, the highest prevalence of mutations in males was 27%,<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> while in females it was 19.1%.<xref ref-type="bibr" rid="B45"><sup>45</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>Only one study included in this review provided data on <italic>KRAS</italic> mutations in Oceania, reporting a prevalence of 38.9% in a sample of 3 318 Australian subjects; however, no data on prevalence by sex were reported.<xref ref-type="bibr" rid="B43"><sup>43</sup></xref>
						</p>
					</list-item>
				</list>
			</p>
			<p>Finally, the most frequent mutation in the KRAS gene was the substitution of glycine for aspartate (p.Gly12Asp). However, the substitution of glycine by alanine (p.Gly12Ala) was the most common mutation in one study.<xref ref-type="bibr" rid="B26"><sup>26</sup></xref> These conformational biochemical changes have been associated with a poor prognosis in terms of survival and with increased tumoral aggressiveness.<xref ref-type="bibr" rid="B32"><sup>32</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B65"><sup>65</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B66"><sup>66</sup></xref>
			</p>
			<p><italic>PIK3CA</italic> is a gene located in chromosome 3 that codes for PI3K protein. PI3K is part of the lipid kinase family, which is involved in cell proliferation, growth and survival.<xref ref-type="bibr" rid="B67"><sup>67</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B68"><sup>68</sup></xref>PI3K protein is also involved in the PI3K/AKT pathway, which catalyzes AKT phosphorylation, activating the downstream signaling pathway.<xref ref-type="bibr" rid="B69"><sup>69</sup></xref>
			</p>
			<p>It has been reported that the presence of mutations in this gene stimulates said pathway and promotes cell growth in various types of cancers.<xref ref-type="bibr" rid="B70"><sup>70</sup></xref> The prevalence of mutations in the <italic>PIK3CA</italic> gene ranges from 7% to 32% in CRC patients, being the G&gt;A transversion in exons 9 and 20 the most common mutation (80% of mutations). Furthermore, there is contradictory evidence in relation to the presence of these mutations as a predictor of response to cancer treatment. <xref ref-type="bibr" rid="B28"><sup>28</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B71"><sup>71</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B72"><sup>72</sup></xref> On the one hand, mutations in exon 20 have been associated with a low response to treatment with cetuximab and chemotherapy.<xref ref-type="bibr" rid="B73"><sup>73</sup></xref> On the other, clinical trials such as the one conducted by Soeda <italic>et al.</italic><xref ref-type="bibr" rid="B74"><sup>
 <italic>74</italic>
</sup></xref> state that their presence might not contribute to the prediction of the response to monoclonal therapy with cetuximab in patients with advanced and/or metastatic CRC.</p>
			<p>According to the data retrieved in the present systematic review, the prevalence of mutations in <italic>PIK3CA</italic> ranged between 3.5% to 20.1%.<xref ref-type="bibr" rid="B7"><sup>7</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B20"><sup>20</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B23"><sup>23</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B28"><sup>28</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B29"><sup>29</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B35"><sup>35</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B36"><sup>36</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B37"><sup>37</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B40"><sup>40</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B41"><sup>41</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B45"><sup>45</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B47"><sup>47</sup></xref> Regarding the prevalence of these mutations in different regions of the world, the following was found:</p>
			<p>
				<list list-type="roman-lower">
					<list-item>
						<p>In America, the highest prevalence was 20.2%, in a sample of 2 299 individuals from the United States,<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> while the lowest prevalence was 11%, in a sample of 377 people from the United States and Canada.<xref ref-type="bibr" rid="B40"><sup>40</sup></xref> In addition, the highest prevalence of mutations in males was 10.4% and in females, 9.7%.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>In Asia, the highest prevalence of <italic>PIK3CA</italic> mutations was reported in India (16.1% in a sample of 112 patients),<xref ref-type="bibr" rid="B47"><sup>47</sup></xref> while the lowest was found in China (3.5% in a sample of 1 110 people).<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> In addition, the highest prevalence of mutations in males was 13.3%47, and in females, 4.2%.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>Only one study reported data for people from the Middle East, finding a prevalence of <italic>PIK3CA</italic> mutations of 13.1% (5.1. in males and 8% in females) in 99 individuals from Middle Eastern countries.<xref ref-type="bibr" rid="B45"><sup>45</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>Similarly, only one study reported data for population from Western Europe, finding a prevalence of <italic>PIK3CA</italic> mutations of 17.4% (9.8% in males and 7.5% in females) in a sample of 384 Italian individuals.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>Only one study provided data on <italic>PIK3CA</italic> mutations in Oceania, reporting a prevalence of 14% (6.8% in males and 7.2 in females) in a sample of 757 individuals from Australia.<xref ref-type="bibr" rid="B28"><sup>28</sup></xref>
						</p>
					</list-item>
				</list>
			</p>
			<p>Finally, the most frequent variant in the <italic>PIK3CA</italic> gene was the replacement of glutamic acid by lysine (p.Glu545Lys) due to alterations in exon 9. However, a high mutation index was also reported in exon 20, resulting in the substitution of histidine by leucine (p.His1047Leu) and of histidine by arginine (p.His1047Arg).</p>
			<p><italic>BRAF</italic> is a gene involved in cell proliferation and differentiation, as well as in apoptosis pathways;<xref ref-type="bibr" rid="B75"><sup>75</sup></xref> besides, it has been described that the presence of mutations in in this gene might lead to phenotypic alterations in the colorectal tissue.<xref ref-type="bibr" rid="B75"><sup>75</sup></xref> In the present review, the prevalence of mutations in <italic>BRAF</italic> ranged from 2.5% to 27%.<xref ref-type="bibr" rid="B7"><sup>7</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B27"><sup>27</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B30"><sup>30</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B31"><sup>31</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B35"><sup>35</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B38"><sup>38</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B39"><sup>39</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B42"><sup>42</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B46"><sup>46</sup></xref>Regarding the prevalence of these mutations in different regions of the world, it was found that:</p>
			<p>
				<list list-type="roman-lower">
					<list-item>
						<p>In America, the highest prevalence was 27% in a sample of 563 individuals.<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> In contrast, the lowest prevalence (0%) was reported by Watson <italic>et al.</italic><xref ref-type="bibr" rid="B44"><sup>
 <italic>44</italic>
</sup></xref> in a study conducted in 17 people; both studies were carried out in the United States. No data on the prevalence of these mutations in men and women were reported.</p>
					</list-item>
					<list-item>
						<p>In Asia, the highest prevalence was 6.96% in a sample of 674 people<xref ref-type="bibr" rid="B25"><sup>25</sup></xref> and the lowest was 3.1% in a sample of 1 110 individuals,<xref ref-type="bibr" rid="B7"><sup>7</sup></xref> with both studies being conducted in China. With regard to the prevalence of <italic>BRAF</italic> mutations by sex, the highest prevalence in men was 4.1% and in women, 2.8%.<xref ref-type="bibr" rid="B25"><sup>25</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B39"><sup>39</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>In the Middle East, the highest prevalence of mutations was 4% in a sample of 99 individuals from several countries,<xref ref-type="bibr" rid="B45"><sup>45</sup></xref> while the lowest prevalence (0%) was reported by Molaei <italic>et al.</italic><xref ref-type="bibr" rid="B46"><sup>
 <italic>46</italic>
</sup></xref> in a study conducted in 85 people from Iran. Furthermore, the highest prevalence of mutations was 2% in both males and females.<xref ref-type="bibr" rid="B45"><sup>45</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>Only one study reported data on <italic>BRAF</italic> mutations in population from Western Europe, finding a prevalence of 6.4% in 1428 individuals from France.<xref ref-type="bibr" rid="B42"><sup>42</sup></xref> No data on the prevalence of these mutations by sex were reported.</p>
					</list-item>
					<list-item>
						<p>In Africa, a study conducted in 92 people from Morocco found a prevalence of 5.4%, however no data on the prevalence of these mutations stratified by sex was reported.<xref ref-type="bibr" rid="B30"><sup>30</sup></xref>
						</p>
					</list-item>
					<list-item>
						<p>In the case of Oceania, a study conducted in 173 individuals from Australia reported a prevalence of mutations of 12.1%.<xref ref-type="bibr" rid="B43"><sup>43</sup></xref>
						</p>
					</list-item>
				</list>
			</p>
			<p>Finally, the most frequent mutation in this gene was the substitution of valine by glutamate in codon 600 (p.Val600Glu). On the other hand, it is worth noting that Samowitz <italic>et al.</italic><xref ref-type="bibr" rid="B76"><sup>
 <italic>76</italic>
</sup></xref> reported that individuals with mutations in <italic>BRAF</italic> have more aggressive CRC pheno-types and show a poor response to treatment with cetuximab or panitumumab. Thus, and given that most of the studies included in this review only studied the p.Val600Glu genetic variant, further research on other possible hotspot regions in this gene associated with CRC is required.</p>
			<p>Regarding studies conducted before 2012, the following data on the prevalence of mutations in the <italic>KRAS, PIK3CA</italic> and <italic>BRAF</italic> genes was found: Segura-Uribe <italic>et al.</italic><xref ref-type="bibr" rid="B77"><sup>
 <italic>77</italic>
</sup></xref> and Vaughn <italic>et al.</italic><xref ref-type="bibr" rid="B78"><sup>
 <italic>78</italic>
</sup></xref> reported a prevalence of <italic>KRAS</italic> mutations of 32.4% and 42.4% in 37 colorectal tumors in Mexican individuals and in 2 121 colorectal adenocarcinomas in people living in the United States, respectively. Herreros-Villanueva <italic>et al.</italic><xref ref-type="bibr" rid="B79"><sup>
 <italic>79</italic>
</sup></xref> and Velho <italic>et al.</italic><xref ref-type="bibr" rid="B80"><sup>
 <italic>80</italic>
</sup></xref> reported a prevalence of <italic>PIK3CA</italic> mutations of 8.22% and 7.1% in CRC specimens of 73 Spanish individuals and in 103 CRC carcinomas collected from Portuguese individuals, respectively. Finally, Nicolantonio <italic>et al.</italic><xref ref-type="bibr" rid="B11"><sup>
 <italic>11</italic>
</sup></xref><italic>,</italic> in a study conducted in 113 patients with metastatic CRC from Italy and Switzerland, reported a prevalence of <italic>BRAF</italic> mutations of 14%.</p>
			<p>After comparing these data with those reported in the studies included in this systematic review, it is possible to say that the frequencies of mutations in <italic>KRAS, PIK3CA</italic> and <italic>BRAF</italic> genes in CRC patients have not changed much in recent years. However, systematic reviews that include a greater publication period are necessary to evaluate increasing or decreasing trends in the prevalence of mutations in these genes in CRC patients.</p>
			<p>The differences between the general prevalence of mutations and their prevalence in men and women in the same geographical area could be attributed to both differences in the sample sizes of the studies and the sensitivity of the molecular techniques used, which have been shown to influence the frequency in which these mutations are detected.<xref ref-type="bibr" rid="B81"><sup>81</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B82"><sup>82</sup></xref>Other factors that might influence said frequency include the quality and quantity of DNA obtained, tumor heterogeneity and possible environmental exposures unknown to the researchers or that they cannot control.<xref ref-type="bibr" rid="B83"><sup>83</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B84"><sup>84</sup></xref>
			</p>
			<p>Although in most of the studies included in our review there was not a significant association between the sex of the patient and the prevalence of mutations in <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> , said association was evaluated since it has been described that associations between genetic mutations and the sex of the individual could provide information about the pathogenesis of different diseases,<xref ref-type="bibr" rid="B85"><sup>85</sup></xref> and because of the differences, both environmental and genetic, that have been described between men and women around the world in terms of susceptibility to and incidence of cancer.<xref ref-type="bibr" rid="B86"><sup>86</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B88"><sup>88</sup></xref>Therefore, it can be assumed that the differences in the prevalence of mutations in these genes between males and females might condition a higher frequency of CRC in individuals of a specific sex.</p>
			<p>The incidence and mortality rates of CRC have increased in recent years,<xref ref-type="bibr" rid="B89"><sup>89</sup></xref> therefore, there is a higher need to identify and implement diagnostic strategies for the early detection of this cancer, including the analysis of molecular and clinical biomarkers. In this regard, it has been suggested that <italic>AXIN2</italic> gene could be considered a molecular biomarker of CRC, since the presence of mutations in this gene and of tooth agenesis have been proposed as predictive factors of CRC.<xref ref-type="bibr" rid="B13"><sup>13</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B16"><sup>16</sup></xref>
			</p>
			<p>In this regard, the present systematic review aimed to report the prevalence of mutations in <italic>AXIN2</italic> in individuals with primary and/or metastatic CRC around the world. However, only one study was retrieved. In addition, due to the knowledge of the possible associations of <italic>AXIN2</italic> gene with both CRC phenotypes, we sought to identify if some of the most prevalent genetic mutations in CRC, such as the ones in <italic>KRAS, PIK3CA</italic> and <italic>BRAF genes,</italic> were also associated with tooth agenesis; nevertheless, no studies reporting such an association were identified.</p>
			<p><italic>AXIN2</italic> is known for its tumor suppressing activity by negatively regulating the Wnt pathway trough the intracellular degradation of ß-catenin.<xref ref-type="bibr" rid="B90"><sup>90</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B91"><sup>91</sup></xref>In mice, <italic>AXIN2</italic> is expressed during odontogenesis in dental mesenchyme, enamel knot, dental papilla and mesenchymal odontoblast.<xref ref-type="bibr" rid="B16"><sup>16</sup></xref> It is reasonable to hypothesize that an impairment in this gene could affect the development of molars and incisors, leading to tooth agenesis.<xref ref-type="bibr" rid="B92"><sup>92</sup></xref> In addition, there is evidence that the expression of <italic>AXIN2</italic> in colorectal tissue can lead to carcinomas.<xref ref-type="bibr" rid="B16"><sup>16</sup></xref> Wu <italic>et al.</italic><xref ref-type="bibr" rid="B93"><sup>
 <italic>93</italic>
</sup></xref> reported that mutations in <italic>AXIN2</italic> could influence the expression of the protein it codes for, which can play a critical role in carcinogenesis, a similar claim to that of Rosales-Reynoso <italic>et al.,</italic><xref ref-type="bibr" rid="B17"><sup>
 <italic>17</italic>
</sup></xref> who state that these mutations act as a genetic risk factor for the development of CRC. Similarly, Marvin <italic>et al.</italic><xref ref-type="bibr" rid="B94"><sup>
 <italic>94</italic>
</sup></xref> reported that the presence of nonsense mutation p.Tyr663X (c.1989G&gt;A) in <italic>AXIN2</italic> results in protein truncation in individuals with oligodontia and gastrointestinal neoplasms. Therefore, tooth agenesis and the presence of variants in <italic>AXIN2</italic> could be used as clinical and molecular markers for the development of CRC.</p>
			<p>The present study highlights the importance of researching the distribution of mutations in <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> genes in people with CRC from different regions of the world to determine the impact of these variants in the early diagnosis of this type of cancer, as well as in its prognosis in terms of survival and efficacy of therapies. Studying the presence of genetic mutations in heterogeneous populations is of great importance, given the possible association between a higher probability of mortality due to CRC and the ethnic and sexual differences in the presence of certain genetic mutations. In this regard, ethnicity has been shown to be associated with a higher risk of cancer<xref ref-type="bibr" rid="B93"><sup>93</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B95"><sup>95</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B97"><sup>97</sup></xref>and with a worse prognosis in the presence of KRAS,<xref ref-type="bibr" rid="B98"><sup>98</sup></xref><italic>PIK3CA</italic><xref ref-type="bibr" rid="B29"><sup>
 <italic>29</italic>
</sup></xref> and <italic>BRAF</italic><xref ref-type="bibr" rid="B99"><sup>
 <italic>99</italic>
</sup></xref> mutations.</p>
			<p>Conducting additional studies on the association between genetic mutations, including those in <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2 genes,</italic> and the development of CRC in diverse populations is recommended in order to contribute to the knowledge on the genome of this type of cancer genome. Likewise, conducting studies that analyze the association between the presence of mutations in <italic>AXIN2</italic> and dental agenesis as a clinical marker for the early diagnosis of CRC is also recommended.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>Our findings suggest that worldwide there is a diverse distribution of <italic>KRAS, PIK3CA</italic> and <italic>BRAF</italic> mutations in individuals with CRC, being <italic>KRAS</italic> mutations the most prevalent. Moreover, according to the evidence here retrieved there is no association between tooth agenesis and <italic>KRAS, PIK3CA</italic> and <italic>BRAF</italic> germline gene mutations in these patients. <italic>AXIN2</italic> is the unique gene in which an association with both phenotypes (i.e., primary and metastatic) has been well established, but population studies on the prevalence of <italic>AXIN2</italic> mutations are limited.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgements</title>
			<p>None stated by the authors.</p>
		</ack>
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			<fn fn-type="other" id="fn1">
				<label>How to cite:</label>
				<p> Sir-Mendoza F, Madera M, González-Martínez F. Prevalence of <italic>KRAS, PIK3CA, BRAF</italic> and <italic>AXIN2</italic> gene mutations in colorectal cancer and their relationship with dental agenesis: a systematic review. Rev. Fac. Med. 2023;71(1):e95595. English. doi: <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.15446/revfacmed.v71n1.95595">https://doi.org/10.15446/revfacmed.v71n1.95595</ext-link>.</p>
			</fn>
			<fn fn-type="other" id="fn2">
				<label>Cómo citar:</label>
				<p> Sir-Mendoza F, Madera M, González-Martínez F. [Prevalencia de mutaciones en los genes <italic>KRAS, PIK3CA, BRAF</italic> y <italic>AXIN2</italic> en cáncer colorrectal y su relación con agenesia dental: revisión sistemática]. Rev. Fac. Med. 2023;71(1):e95595. English. doi: <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.15446/revfacmed.v71n1.95595">https://doi.org/10.15446/revfacmed.v71n1.95595</ext-link>.</p>
			</fn>
		</fn-group>
		<fn-group>
			<fn fn-type="financial-disclosure" id="fn4">
				<label>Funding</label>
				<p> None stated by the authors. </p>
			</fn>
		</fn-group>
		<app-group>
			<app id="app1">
				<label>Appendix 1. Search equations:</label>
				<sec>
					<title>MEDLINE (via PubMed)</title>
					<p>(&quot;Prevalence&quot; AND (&quot;Mutation&quot; OR &quot;Polymorphism&quot;) AND (&quot;Genes&quot; OR &quot;RAS&quot; OR &quot;Kras&quot;) AND (&quot;Colorectal Neoplasms&quot; OR &quot;Colorectal Cancer&quot;) AND &quot;dental agenesis&quot;) (&quot;Prevalence&quot; AND (&quot;Mutation&quot; OR &quot;Polymorphism&quot;) AND (&quot;Genes&quot; OR &quot;PIK3CA&quot;) AND (&quot;Colorectal Neoplasms&quot; OR &quot;Colorectal Cancer&quot;) AND &quot;dental agenesis&quot;) (&quot;Prevalence&quot; AND (&quot;Mutation&quot; OR &quot;Polymorphism&quot;) AND (&quot;Genes&quot; OR &quot;BRAF&quot;) AND (&quot;Colorectal Neoplasms&quot; OR &quot;Colorectal Cancer&quot;) AND &quot;dental agenesis&quot;) (&quot;Prevalence&quot; AND (&quot;Mutation&quot; OR &quot;Polymorphism&quot;) AND (&quot;Genes&quot; OR &quot;AXIN2&quot;) AND (&quot;Colorectal Neoplasms&quot; OR &quot;Colorectal Cancer&quot;) AND &quot;dental agenesis&quot;)</p>
				</sec>
				<sec>
					<title>Embase (via Ovid)</title>
					<p>((&quot;Mutation&quot; OR Polymorphism*) AND &quot;Prevalence&quot; AND (&quot;RAS&quot; OR &quot;Kras&quot;) OR &quot;PIK-3CA&quot; OR &quot;BRAF&quot; OR &quot;AXIN2&quot; AND (&quot;Colorectal Neoplasms&quot; OR &quot;Colorectal Cancer&quot;) AND &quot;dental agenesis&quot;)</p>
				</sec>
				<sec>
					<title>Cochrane Library</title>
					<p>(&quot;Prevalence&quot; AND (&quot;Mutation&quot; OR &quot;Polymorphism&quot;) AND (&quot;Genes&quot;) AND (&quot;Colorectal Neoplasms&quot; OR &quot;Colorectal Cancer&quot;) AND &quot;dental agenesis&quot;)</p>
				</sec>
			</app>
		</app-group>
	</back>
</article>