<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<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.2020.00768</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Exploration of Potential Roles of m6A Regulators in Colorectal Cancer Prognosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Ji</surname> <given-names>Liechen</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/971611/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Shuo</given-names></name>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/836497/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gu</surname> <given-names>Liqiang</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/971817/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Xipeng</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/842587/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Colorectal Surgery, Tianjin Union Medical Center, Nankai University</institution>, <addr-line>Tianjin</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bernd Kaina, Johannes Gutenberg University Mainz, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Maria Francesca Baietti, VIB KU Leuven Center for Cancer Biology, Belgium; Ali M. Ardekani, Avicenna Research Institute (ARI), Iran</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Xipeng Zhang <email>zhangxipeng18212&#x00040;outlook.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Molecular and Cellular Oncology, a section of the journal Frontiers in Oncology</p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>05</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>10</volume>
<elocation-id>768</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>12</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>04</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2020 Ji, Chen, Gu and Zhang.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Ji, Chen, Gu and Zhang</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>Colorectal cancer (CRC) represents one of the most common malignancies with high morbidity worldwide. RNA methylation (m6A) has been considered to tremendously contribute to cancer initiation and progression since its first discovery. In this study, we comprehensively analyzed associations between mRNA expressions of m6A regulators and CRC tumor samples&#x00027; epidemiologic information from the Cancer Genome Atlas (TCGA). Multivariate Cox proportional hazard model was applied to screening of m6A regulators whose mRNA expressions were significantly associated with CRC tumor samples&#x00027; overall survival (OS) probability and those significant regulators were used for LASSO regression analysis to construct CRC prognosis prediction signature. As a result, two regulators i.e., YTHDC2 and ALKBH5 were picked out in multivariate analysis. CRC prognosis signature was constructed based on those two regulators through which CRC tumor samples with favorable and inferior prognosis could definitely be distinguished independent of potential confounding factors. This study should be helpful for identifying prognostic different CRC patients and guiding therapeutic method selection.</p></abstract>
<kwd-group>
<kwd>colorectal cancer</kwd>
<kwd>m6A</kwd>
<kwd>m6A regulators</kwd>
<kwd>prognosis</kwd>
<kwd>TCGA</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="8"/>
<word-count count="3975"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>According to the global burden of disease study in 2018, colorectal cancer (CRC) is one of the most common cancer types worldwide, and represents the third leading cause of cancer-related deaths (<xref ref-type="bibr" rid="B1">1</xref>). Many risk factors have been associated with CRC, including genetic and environmental factors. Hereditary CRC accounts for &#x0007E;5&#x02013;10% of all CRC cases, while the tumorigenesis and development of CRC arise through the accumulation of a multistep carcinogenic process that affected by lifestyle and dietary factors (<xref ref-type="bibr" rid="B2">2</xref>). In the last decade, increasingly researches have focused on the multiple molecular pathways involved in CRC pathogenesis, especially genetic and epigenetic events (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). It is generally believed that, epigenetic alterations in CRC occur earlier and happened more frequently than genetic alterations (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Genomic instability, mutational inactivation of tumor suppressor genes, and activation of oncogenes are all involved in its development (<xref ref-type="bibr" rid="B6">6</xref>). Nowadays, genome-wide association studies have recently linked CRC to several common genetic variants or single-nucleotide polymorphisms, meanwhile, miRNA profiling of CRCs has identified over 20 up and downregulated miRNAs (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Natural RNA molecules contain multiple chemically modified nucleosides (<xref ref-type="bibr" rid="B8">8</xref>). Aside of DNA methylation and histone modification, mRNA modification represents another layer of epigenetic regulation of gene expression (<xref ref-type="bibr" rid="B9">9</xref>). The extent of RNA modifications is highly sensitive to changes in cellular micro-environment or the switch between different physiological states, and these changes in patterns of RNA modification would in turn affect the regulation for cell function and adaptation (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). A wide range of RNA base modifications, collectively called the epitranscriptome, have been implicated in translation control, RNA splicing defects and many cancer types (<xref ref-type="bibr" rid="B12">12</xref>). N6-methyl-adenosine (m6A) is the prevalent modification in eukaryotic mRNAs, whose reversible methylation may have a profound impact on gene expression regulation (<xref ref-type="bibr" rid="B13">13</xref>). Abnormal methylation of m6A would cause a range of diseases, including tumors (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>), neurological diseases (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), and embryonic retardation (<xref ref-type="bibr" rid="B18">18</xref>). Recently, their roles in cancer biology and cancer stem cells have become prominent hotspot in the research field of on tumorigenesis and screening of potential biological targets. However, the cellular and functional dynamics of m6A RNA modifications in the regulation of CRC development remain largely unexplored.</p>
<p>In this study, the epidemiologic information of 522 CRC samples was obtained from the Cancer Genome Atlas (TCGA). We analyzed the association between the expression of m6A regulators and CRC initiation and progression, screened the key regulators whose expression was related with the overall survival (OS) of CRC patients, and constructed a CRC prognosis signature based on these regulators to evaluate the roles of m6A regulators in CRC development and prognosis.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Population</title>
<p>All subjects used in this study were from the Cancer Genome Atlas (TCGA). A total of 522 samples including 487 CRC tumor tissues and 35 adjacent normal tissues were included. Detailed epidemiological characteristics of those CRC patients are provided in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Clinicopathological characteristics of COAD patients from TCGA database.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>COAD patients (</bold><italic><bold>N</bold></italic> <bold>&#x0003D;</bold> <bold>487)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>NO</bold>.</th>
<th valign="top" align="center"><bold>%</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>AGE</bold></td>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 68(Median)</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">49.90</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;68(Median)</td>
<td valign="top" align="center">244</td>
<td valign="top" align="center">50.10</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>GENDER</bold></td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">229</td>
<td valign="top" align="center">47.02</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">258</td>
<td valign="top" align="center">52.98</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>RACE</bold></td>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">238</td>
<td valign="top" align="center">48.87</td>
</tr>
<tr>
<td valign="top" align="left">Black or African American</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">12.73</td>
</tr>
<tr>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2.26</td>
</tr>
<tr>
<td valign="top" align="left">American Indian or Alaska</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">174</td>
<td valign="top" align="center">35.73</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>PATHOLOGIC STAGE</bold></td>
</tr>
<tr>
<td valign="top" align="left">i</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">17.04</td>
</tr>
<tr>
<td valign="top" align="left">ii</td>
<td valign="top" align="center">196</td>
<td valign="top" align="center">40.25</td>
</tr>
<tr>
<td valign="top" align="left">iii</td>
<td valign="top" align="center">136</td>
<td valign="top" align="center">27.93</td>
</tr>
<tr>
<td valign="top" align="left">iv</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">14.78</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>SURVIVAL TIME</bold></td>
</tr>
<tr>
<td valign="top" align="left">Long (&#x0003E;5 years)</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">9.24</td>
</tr>
<tr>
<td valign="top" align="left">Short (&#x0003C;5 years)</td>
<td valign="top" align="center">442</td>
<td valign="top" align="center">90.76</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>OS STATUS</bold></td>
</tr>
<tr>
<td valign="top" align="left">Dead</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">22.79</td>
</tr>
<tr>
<td valign="top" align="left">Alive</td>
<td valign="top" align="center">376</td>
<td valign="top" align="center">77.21</td>
</tr>
</tbody>
</table>
</table-wrap></sec>
<sec>
<title>m6A Regulators</title>
<p>A total of 12 m6A regulators containing 5 writers (methyltransferase like 3, METTL3; methyltransferase like 14, METTL14; WT1-associated protein, WTAP; RNA binding motif protein 15, RBM15; and zinc finger CCCH domain-containing protein 13, ZC3H13), 5 readers (YTH domain-containing 1, YTHDC1; YTH domain-containing 2, YTHDC2; YTH N6-methyladenosine RNA binding protein 1, YTHDF1; YTH N6-methyladenosine RNA binding protein 2, YTHDF2; and heterogeneous nuclear ribonucleoprotein C, HNRNPC) and 2 erasers (fat mass- and obesity-associated protein, FTO; &#x003B1;-ketoglutarate-dependent dioxygenase alkB homolog 5, ALKBH5) were collected in this study. MRNA expressions of those regulators in CRC tumor and adjacent normal tissues from TCGA were also obtained for constructing CRC prognosis prediction model.</p></sec>
<sec>
<title>Construction of Prognosis Prediction Model</title>
<p>Multivariate Cox regression analysis was performed for screening regulators whose mRNA expressions significantly correlate with CRC tumor samples&#x00027; overall survival (OS) probability. LASSO Cox regression was applied to those significant regulators for development of potential CRC prognosis signatures.</p></sec>
<sec>
<title>Survival Analysis</title>
<p>OS probability of every CRC tumor sample was estimated by Kaplan-Meier method. Log-rank test was used to determine the significance of OS probability between different categorical CRC groups. Multivariate Cox proportional hazard model was applied to adjust influences of confounding factors on CRC samples&#x00027; prognosis.</p></sec>
<sec>
<title>Nomogram Analysis</title>
<p>We used rms R package to perform nomogram analysis by including those factors that significantly associated with OS of CRC patients in multivariate analysis. Calibration plot was applied to estimate the discrimination between actual and nomogram predicted OS probability.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Kolmogorov-Smirnov (K-S) test was used for normality test of mRNA expressions across CRC samples. Wilcoxon ran test or <italic>t</italic>-test was applied to the comparison of mRNA expressions between CRC tumor and adjacent normal samples. Comparisons of mRNA expressions among more than two groups were performed by analysis of variance (ANOVA). All the statistical analysis was conducted in R 3.4.3. <italic>P</italic> &#x0003C; 0.05 was used as the significant threshold.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Associations Between m6A Regulators and CRC Initiation and Progression</title>
<p>The mRNA expressions of the 12 m6A regulators in CRC tumor and adjacent normal samples from TCGA were obtained and illustrated as boxplots (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Comparisons between adjacent normal and tumor samples identified seven down-regulated (METTL14, WTAP, YTHDC1, YTHDC2, ALKBH5, FTO, and YTHDF2) and one up-regulated (YTHDF1) regulators. CRC tumor samples were further divided into different stages, i.e., stage I-IV, and the 12 regulators&#x00027; mRNA expressions were provided as boxplots (<xref ref-type="fig" rid="F1">Figure 1B</xref>). ANOVA for the comparison of every regulator&#x00027;s mRNA expression among different stages illustrated that WTAP and FTO exhibited significantly sustained elevated and decreased mRNA levels with the progression of CRC, respectively. <xref ref-type="supplementary-material" rid="SM1">Table S1</xref> provided the mRNA levels of those 12 m6A regulators in the CRC tumor samples used in this study. Those results indicated the potential associations between some of the m6A regulators and CRC initiation and progression. So, they should be feasible for the following analysis for screening of CRC prognostic signature.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Expression landscape of m6A regulators across CRC samples. <bold>(A)</bold> Boxplots illustrating m6A regulators&#x00027; expression values across CRC tumor and adjacent normal tissues along with <italic>t</italic>-test <italic>p</italic>-value provided above the boxplot. <bold>(B)</bold> Boxplots illustrating the expression levels of the 12 m6A regulators across CRC tumor samples with different stages. ANOVA <italic>p</italic>-values were provided above the boxplot.</p></caption>
<graphic xlink:href="fonc-10-00768-g0001.tif"/>
</fig></sec>
<sec>
<title>Association Between m6A Regulators and CRC Prognosis</title>
<p>We here proposed to explore if CRC tumor samples could be distinguished with respect to their prognosis based on the eight differentially expressed regulators&#x00027; mRNA expressions. We first determined the optimal sample clustering number as five through consensus clustering analysis as shown in <xref ref-type="fig" rid="F2">Figure 2A</xref>. Euclidean distance among the CRC tumor samples were calculated based on the eight regulators&#x00027; mRNA expressions which was then applied to hierarchical clustering method. <xref ref-type="fig" rid="F2">Figure 2B</xref> illustrated the tumor sample clustering result. Samples allocated to the five clusters exhibited significantly different OS probability as shown in <xref ref-type="fig" rid="F2">Figure 2C</xref> which suggested potential association between m6A regulators and CRC prognosis.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Clustering of CRC tumor samples and prognosis analysis. <bold>(A)</bold> Line chart used for the determination of the optimal sample cluster number for hierarchical clustering analysis of CRC tumor samples. Horizontal and vertical axis represents cluster number (k) and total within sum of square, respectively. <bold>(B)</bold> Hierarchical clustering of CRC tumor samples based on the 12 m6A regulators&#x00027; expression values. <bold>(C)</bold> Kaplan-Meier curves of CRC tumor samples stratified by their cluster information with log-rank test <italic>p</italic>-value provided.</p></caption>
<graphic xlink:href="fonc-10-00768-g0002.tif"/>
</fig></sec>
<sec>
<title>m6A Regulator-Based CRC Prognosis Signature</title>
<p>The above analysis implied potential application of combination of the 12 m6A regulators in CRC OS probability prediction. In consideration of both cost-efficiency and accuracy, we proposed to further screen m6A regulators that significantly correlated with CRC OS probability through multivariate Cox proportional hazard model. As a result, YTHDC2 and ALKBH5 were picked out (<xref ref-type="fig" rid="F3">Figure 3A</xref>) which were then applied to LASSO regression analysis to construct CRC prognosis prediction signature. Risk score of every CRC tumor sample was calculated, and samples were then stratified by the median risk score. Log-rank test uncovered distinctly different OS probability between the two sample groups (<xref ref-type="fig" rid="F3">Figure 3B</xref>), which should suggest the reliability of our signature in CRC prognosis prediction.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Association between m6A regulator and CRC tumor samples&#x00027; prognosis. <bold>(A)</bold> Forest plot shows the result of multivariate Cox-regression analysis for association between m6A regulator&#x00027;s expression and Kaplan-Meier estimated CRC tumor samples&#x00027; overall survival probability. Values within brackets represent 95% confidence interval of hazard ratio. <bold>(B)</bold> Kaplan-Meier curves of CRC tumor samples stratified by the median risk score with log-rank test <italic>p</italic>-value provided.</p></caption>
<graphic xlink:href="fonc-10-00768-g0003.tif"/>
</fig></sec>
<sec>
<title>Associations Between Risk Score and CRC Epidemiology Statistics</title>
<p>We next explore if CRC tumor samples&#x00027; risk scores were correlated with their common epidemiology statistics which mainly involved age, gender, and stage. As a result, risk scores of samples were not significantly different between elder and younger patients when stratified by the median age (<xref ref-type="fig" rid="F4">Figure 4A</xref>) as well as between male and female patients (<xref ref-type="fig" rid="F4">Figure 4B</xref>). While, risk score kept rising through stage I to stage IV as shown in <xref ref-type="fig" rid="F4">Figure 4C</xref> which was consistent with its unfavorable prognosis role. Besides, multivariate Cox regression analysis suggested that the m6A regulator-based signature could reliably predict CRC patients&#x00027; prognosis independent of age, gender, and stage (<xref ref-type="fig" rid="F4">Figure 4D</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Association between risk score and CRC tumor samples&#x00027; epidemiologic information. <bold>(A)</bold> Boxplots show the distribution of CRC tumor samples&#x00027; risk score stratified by the sample&#x00027;s median age. <bold>(B)</bold> Boxplots show the distribution of CRC tumor samples&#x00027; risk score stratified by sample&#x00027;s gender. <bold>(C)</bold> Boxplots show the distribution of CRC tumor samples&#x00027; risk score stratified by tumor stage. <bold>(D)</bold> Forest plot shows the result of multivariate Cox-regression analysis for association between risk score and Kaplan-Meier estimated CRC tumor samples&#x00027; overall survival probability after adjusted age, gender and stage.</p></caption>
<graphic xlink:href="fonc-10-00768-g0004.tif"/>
</fig></sec>
<sec>
<title>Construction and Validation of Nomogram</title>
<p>By including significant factors in multivariate Cox-regression analysis, i.e., age, stage, and risk score, we constructed a nomogram to predict 1-, 3-, and 5-years OS probability as shown in <xref ref-type="fig" rid="F5">Figure 5A</xref>. Calibration plot indicated that nomogram-predicted OS probability deviated very little from actual OS probability, particular for 1- and 3-years OS probability (<xref ref-type="fig" rid="F5">Figures 5B&#x02013;D</xref>). Those should suggest the potential of the risk score as a reinforcement for epidemiological features to improve the estimation of CRC prognosis.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Nomogram analysis. <bold>(A)</bold> Nomogram composed of age, stage, and risk score for the prediction of 1-, 3-, and 5-years OS probability. Calibration plot for the evaluation of the nomogram in predicting 1-year <bold>(B)</bold>, 3-years <bold>(C)</bold>, and 5-years <bold>(D)</bold> OS probability.</p></caption>
<graphic xlink:href="fonc-10-00768-g0005.tif"/>
</fig></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Similar to DNA methylation and histone modification, m6A RNA modifications can be added by writer enzymes and removed by eraser enzymes. The differential expressions of specific RNA m6A methylation regulators are linked to mis-regulated RNAs in tumors, however, the same m6A methylation regulators may have distinct functions in different tumors (<xref ref-type="bibr" rid="B19">19</xref>). In this study, we proposed to explore the feasibility of the common m6A regulators in CRC prognosis estimation. Differential expression analysis found that 8 m6A regulators, including METTL14, WTAP, YTHDC1, YTHDC2, ALKBH5, FTO, YTHDF1, and YTHDF2, were significantly differently expressed between adjacent normal and tumor samples. This should preliminarily suggest that those m6A regulators have the potential of influencing CRC initiation and could be used for the subsequent analysis. In addition, among those differential expression regulators, the expressions of WTAP and FTO exhibited significantly sustained elevated and decreased with the progression of CRC, respectively, suggesting enhanced m6A RNA methylation with the increasing tumor grade. METTL3 and METTL14 were both writer m6A regulatory enzymes, and WTAP can improve methylation efficiency in nuclear speckles by translocating the METTL3-METTL14 complex to mRNA targets (<xref ref-type="bibr" rid="B20">20</xref>). FTO is the first discovered m6A eraser that can influence the transcription of adjacent genes (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The up-regulation of WTAP was able to promote the proliferation and survival of tumor cells, while FTO plays an oncogenic role as an m6A demethylase in acute myeloid leukemia (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Furthermore, the expression trend of WTAP and FTO that same as our result was positively associated with the malignant progression in gliomas (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>The abnormal methylation of m6A mRNA has shown prognostic value in multiple tumors, such as cervical cancer (<xref ref-type="bibr" rid="B25">25</xref>), acute myeloid leukemia (<xref ref-type="bibr" rid="B26">26</xref>), pancreatic cancer (<xref ref-type="bibr" rid="B27">27</xref>), and hepatocellular carcinoma (<xref ref-type="bibr" rid="B28">28</xref>). Kandimalla&#x00027;s group has reported a risk-score derived from a seven gene mRNA expression classifier consisting of METTL3, METTL14, WTAP, YTHDF1, YTHDF2, FTO, and ALKBH5 that associated with poor disease-free survival of CRC patients (<xref ref-type="bibr" rid="B29">29</xref>). In this study, YTHDC2 and ALKBH5 were picked out by multivariate Cox proportional hazard model, and applied for the construction of CRC prognosis prediction signature. The result of multivariate Cox regression analysis suggested that the signature based on YTHDC2 and ALKBH5 was able to predict CRC patients prognosis reliably independent of age, gender and stage.</p>
<p>YTHDC2 is a nuclear localized protein that is widely expressed in human cancer cell lines (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). YTHDC2 can promote cancer metastasis via enhancing the translating efficiency of hypoxia-inducible factor (HIF)-1&#x003B1; in colon tumor cells, and may become a diagnostic marker and target gene for treating colon cancer patients (<xref ref-type="bibr" rid="B32">32</xref>). Fanale et al. suggested YTHDC2 as a potential candidate for pancreatic cancer susceptibility and a useful marker for early detection (<xref ref-type="bibr" rid="B32">32</xref>). However, the regulatory mechanism of YTHDC2 on tumor behavior is still poorly understood. ALKBH5 belongs to the non-heme Fe(ii)- and &#x003B1;-ketoglutarate (KG)-dependent dioxygenase AlkB family of proteins demethylated NANOG mRNA, and stimulated the expressions of HIF-1&#x003B1; and HIF-2&#x003B1; of breast cancer cells when exposure to hypoxia (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). It was reported that, the growth of CRC is associated with the physiological state of hypoxia, and HIF-1&#x003B1; is a key factor for CRC metastasis (<xref ref-type="bibr" rid="B35">35</xref>). What&#x00027;s more, aberrant expressions of YTHDC2 and ALKBH5 in the context of CRC initiation and progression have been previously reported, and consistent results as the current study were obtained (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Therefore, we speculate that, the RNA methylation regulated by YTHDC2 and ALKBH5 might regulate tumor proliferation and metastasis through HIF-mediated hypoxic microenvironment response and then affect the prognosis of patients, which would be confirmed in our future research.</p></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In this study, we comprehensively analyzed associations between mRNA expressions of m6A regulators with the development and prognosis of CRC. Among the m6A regulators, the abnormal expressions of WTAP and FTO were found to be significantly related to the progression of CRC, and YTHDC2 and ALKBH5 were identified as key regulators that could predict the prognosis of patients with CRC independently. This study highlighted the important role of RNA modification in the development of CRC, and provided potential guiding biomarkers for the therapeutic method selection.</p></sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: The Cancer Genome Atlas (TCGA), Datasets link: <ext-link ext-link-type="uri" xlink:href="https://portal.gdc.cancer.gov/repository">https://portal.gdc.cancer.gov/repository</ext-link>.</p></sec>
<sec id="s7">
<title>Author Contributions</title>
<p>LJ and SC put forward the ideas of this article, wrote this article, and analyzed the data. LG helped with acquisition of data and analysis and interpretation of data. XZ analyzed the data and helped with revising the manuscript. All authors read and approved the final manuscript.</p></sec>
<sec id="s8">
<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>
</body><back>
<sec sec-type="supplementary-material" id="s9">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2020.00768/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2020.00768/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.csv" id="SM1" mimetype="text/csv" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab>Global Burden of Disease Cancer C</collab> <name><surname>Fitzmaurice</surname> <given-names>C</given-names></name> <name><surname>Akinyemiju</surname> <given-names>TF</given-names></name> <name><surname>Al Lami</surname> <given-names>FH</given-names></name> <name><surname>Alam</surname> <given-names>T</given-names></name> <name><surname>Alizadeh-Navaei</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2016: a systematic analysis for the global burden of disease study</article-title>. <source>JAMA Oncol.</source> (<year>2018</year>) <volume>4</volume>:<fpage>1553</fpage>&#x02013;<lpage>68</lpage>. <pub-id pub-id-type="doi">10.1001/jamaoncol.2018.2706</pub-id><pub-id pub-id-type="pmid">29860482</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tanaka</surname> <given-names>T</given-names></name></person-group>. <article-title>Colorectal carcinogenesis: review of human and experimental animal studies</article-title>. <source>J Carcinog</source>. (<year>2009</year>) <volume>8</volume>:<fpage>5</fpage>. <pub-id pub-id-type="doi">10.4103/1477-3163.49014</pub-id><pub-id pub-id-type="pmid">19332896</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lao</surname> <given-names>VV</given-names></name> <name><surname>Grady</surname> <given-names>WM</given-names></name></person-group>. <article-title>Epigenetics and colorectal cancer</article-title>. <source>Nat Rev Gastroenterol Hepatol</source>. (<year>2011</year>) <volume>8</volume>:<fpage>686</fpage>&#x02013;<lpage>700</lpage>. <pub-id pub-id-type="doi">10.1038/nrgastro.2011.173</pub-id><pub-id pub-id-type="pmid">22009203</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zoratto</surname> <given-names>F</given-names></name> <name><surname>Rossi</surname> <given-names>L</given-names></name> <name><surname>Verrico</surname> <given-names>M</given-names></name> <name><surname>Papa</surname> <given-names>A</given-names></name> <name><surname>Basso</surname> <given-names>E</given-names></name> <name><surname>Zullo</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Focus on genetic and epigenetic events of colorectal cancer pathogenesis: implications for molecular diagnosis</article-title>. <source>Tumour Biol</source>. (<year>2014</year>) <volume>35</volume>:<fpage>6195</fpage>&#x02013;<lpage>206</lpage>. <pub-id pub-id-type="doi">10.1007/s13277-014-1845-9</pub-id><pub-id pub-id-type="pmid">25051912</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baylin</surname> <given-names>SB</given-names></name> <name><surname>Ohm</surname> <given-names>JE</given-names></name></person-group>. <article-title>Epigenetic gene silencing in cancer - a mechanism for early oncogenic pathway addiction?</article-title> <source>Nat Rev Cancer</source>. (<year>2006</year>) <volume>6</volume>:<fpage>107</fpage>&#x02013;<lpage>16</lpage>. <pub-id pub-id-type="doi">10.1038/nrc1799</pub-id><pub-id pub-id-type="pmid">16491070</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Okugawa</surname> <given-names>Y</given-names></name> <name><surname>Grady</surname> <given-names>WM</given-names></name> <name><surname>Goel</surname> <given-names>A</given-names></name></person-group>. <article-title>Epigenetic alterations in colorectal cancer: emerging biomarkers</article-title>. <source>Gastroenterology.</source> (<year>2015</year>) <volume>149</volume>:<fpage>1204</fpage>&#x02013;<lpage>25 e1212</lpage>. <pub-id pub-id-type="doi">10.1053/j.gastro.2015.07.011</pub-id><pub-id pub-id-type="pmid">26216839</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goel</surname> <given-names>A</given-names></name> <name><surname>Boland</surname> <given-names>CR</given-names></name></person-group>. <article-title>Recent insights into the pathogenesis of colorectal cancer</article-title>. <source>Curr Opin Gastroenterol</source>. (<year>2010</year>) <volume>26</volume>:<fpage>47</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1097/MOG.0b013e328332b850</pub-id><pub-id pub-id-type="pmid">19786869</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cantara</surname> <given-names>WA</given-names></name> <name><surname>Crain</surname> <given-names>PF</given-names></name> <name><surname>Rozenski</surname> <given-names>J</given-names></name> <name><surname>Mccloskey</surname> <given-names>JA</given-names></name> <name><surname>Harris</surname> <given-names>KA</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name> <etal/></person-group>. <article-title>The RNA Modification Database, RNAMDB: 2011 update</article-title>. <source>Nucleic Acids Res.</source> (<year>2011</year>) <volume>39</volume>:<fpage>D195</fpage>&#x02013;<lpage>201.a</lpage> <pub-id pub-id-type="doi">10.1093/nar/gkq1028</pub-id><pub-id pub-id-type="pmid">21071406</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>N</given-names></name> <name><surname>Pan</surname> <given-names>T</given-names></name></person-group>. <article-title>RNA epigenetics</article-title>. <source>Transl Res</source>. (<year>2015</year>) <volume>165</volume>:<fpage>28</fpage>&#x02013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1016/j.trsl.2014.04.003</pub-id><pub-id pub-id-type="pmid">24768686</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>He</surname> <given-names>C</given-names></name></person-group>. <article-title>Grand challenge commentary: RNA epigenetics?</article-title> <source>Nat Chem Biol</source>. (<year>2010</year>) <volume>6</volume>:<fpage>863</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1038/nchembio.482</pub-id><pub-id pub-id-type="pmid">21079590</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yi</surname> <given-names>C</given-names></name> <name><surname>Pan</surname> <given-names>T</given-names></name></person-group>. <article-title>Cellular dynamics of RNA modification</article-title>. <source>Acc Chem Res</source>. (<year>2011</year>) <volume>44</volume>:<fpage>1380</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1021/ar200057m</pub-id><pub-id pub-id-type="pmid">21615108</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>S</given-names></name> <name><surname>Mason</surname> <given-names>CE</given-names></name></person-group>. <article-title>The pivotal regulatory landscape of RNA modifications</article-title>. <source>Annu Rev Genomics Hum Genet</source>. (<year>2014</year>) <volume>15</volume>:<fpage>127</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1146/annurev-genom-090413-025405</pub-id><pub-id pub-id-type="pmid">24898039</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Niu</surname> <given-names>Y</given-names></name> <name><surname>Zhao</surname> <given-names>X</given-names></name> <name><surname>Wu</surname> <given-names>YS</given-names></name> <name><surname>Li</surname> <given-names>MM</given-names></name> <name><surname>Wang</surname> <given-names>XJ</given-names></name> <name><surname>Yang</surname> <given-names>YG</given-names></name></person-group>. <article-title>N6-methyl-adenosine. (m6A) in RNA: an old modification with a novel epigenetic function</article-title>. <source>Genomics Proteomics Bioinform</source>. (<year>2013</year>) <volume>11</volume>:<fpage>8</fpage>&#x02013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1016/j.gpb.2012.12.002</pub-id><pub-id pub-id-type="pmid">23453015</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Sun</surname> <given-names>C</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Zhang</surname> <given-names>E</given-names></name> <name><surname>Ma</surname> <given-names>Z</given-names></name> <name><surname>Xu</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>Roles of RNA methylation by means of N(6)-methyladenosine (m(6)A) in human cancers</article-title>. <source>Cancer Lett</source>. (<year>2017</year>) <volume>408</volume>:<fpage>112</fpage>&#x02013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.1016/j.canlet.2017.08.030</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>T</given-names></name> <name><surname>Wu</surname> <given-names>R</given-names></name> <name><surname>Ming</surname> <given-names>L</given-names></name></person-group>. <article-title>The role of m6A RNA methylation in cancer</article-title>. <source>Biomed Pharmacother</source>. (<year>2019</year>) <volume>112</volume>:<fpage>108613</fpage>. <pub-id pub-id-type="doi">10.1016/j.biopha.2019.108613</pub-id><pub-id pub-id-type="pmid">30784918</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yoon</surname> <given-names>KJ</given-names></name> <name><surname>Ringeling</surname> <given-names>FR</given-names></name> <name><surname>Vissers</surname> <given-names>C</given-names></name> <name><surname>Jacob</surname> <given-names>F</given-names></name> <name><surname>Pokrass</surname> <given-names>M</given-names></name> <name><surname>Jimenez-Cyrus</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Temporal control of mammalian cortical neurogenesis by m(6)A methylation</article-title>. <source>Cell.</source> (<year>2017</year>) <volume>171</volume>:<fpage>877</fpage>&#x02013;<lpage>89 e817</lpage>. <pub-id pub-id-type="doi">10.1016/j.cell.2017.09.003</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>X</given-names></name> <name><surname>Yu</surname> <given-names>C</given-names></name> <name><surname>Guo</surname> <given-names>M</given-names></name> <name><surname>Zheng</surname> <given-names>X</given-names></name> <name><surname>Ali</surname> <given-names>S</given-names></name> <name><surname>Huang</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Down-Regulation of m6A mRNA Methylation Is Involved in Dopaminergic Neuronal Death</article-title>. <source>ACS Chem Neurosci</source>. (<year>2019</year>) <volume>10</volume>:<fpage>2355</fpage>&#x02013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1021/acschemneuro.8b00657</pub-id><pub-id pub-id-type="pmid">30835997</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Geula</surname> <given-names>S</given-names></name> <name><surname>Moshitch-Moshkovitz</surname> <given-names>S</given-names></name> <name><surname>Dominissini</surname> <given-names>D</given-names></name> <name><surname>Mansour</surname> <given-names>AA</given-names></name> <name><surname>Kol</surname> <given-names>N</given-names></name> <name><surname>Salmon-Divon</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Stem cells. m6A mRNA methylation facilitates resolution of naive pluripotency toward differentiation</article-title>. <source>Science.</source> (<year>2015</year>) <volume>347</volume>:<fpage>1002</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1126/science.1261417</pub-id><pub-id pub-id-type="pmid">25569111</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Deng</surname> <given-names>X</given-names></name> <name><surname>Su</surname> <given-names>R</given-names></name> <name><surname>Feng</surname> <given-names>X</given-names></name> <name><surname>Wei</surname> <given-names>M</given-names></name> <name><surname>Chen</surname> <given-names>J</given-names></name></person-group>. <article-title>Role of N(6)-methyladenosine modification in cancer</article-title>. <source>Curr Opin Genet Dev</source>. (<year>2018</year>) <volume>48</volume>:<fpage>1</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.gde.2017.10.005</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scholler</surname> <given-names>E</given-names></name> <name><surname>Weichmann</surname> <given-names>F</given-names></name> <name><surname>Treiber</surname> <given-names>T</given-names></name> <name><surname>Ringle</surname> <given-names>S</given-names></name> <name><surname>Treiber</surname> <given-names>N</given-names></name> <name><surname>Flatley</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Interactions, localization, and phosphorylation of the m(6)A generating METTL3-METTL14-WTAP complex</article-title>. <source>RNA</source>. (<year>2018</year>) <volume>24</volume>:<fpage>499</fpage>&#x02013;<lpage>512</lpage>. <pub-id pub-id-type="doi">10.1261/rna.064063.117</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Loos</surname> <given-names>RJ</given-names></name> <name><surname>Bouchard</surname> <given-names>C</given-names></name></person-group>. <article-title>FTO: the first gene contributing to common forms of human obesity</article-title>. <source>Obes Rev</source>. (<year>2008</year>) <volume>9</volume>:<fpage>246</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1111/j.1467-789X.2008.00481.x</pub-id><pub-id pub-id-type="pmid">18373508</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>Z</given-names></name> <name><surname>Weng</surname> <given-names>H</given-names></name> <name><surname>Su</surname> <given-names>R</given-names></name> <name><surname>Weng</surname> <given-names>X</given-names></name> <name><surname>Zuo</surname> <given-names>Z</given-names></name> <name><surname>Li</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>FTO plays an oncogenic role in acute myeloid leukemia as a N(6)-methyladenosine RNA demethylase</article-title>. <source>Cancer Cell</source>. (<year>2017</year>) <volume>31</volume>:<fpage>127</fpage>&#x02013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1016/j.ccell.2016.11.017</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bansal</surname> <given-names>H</given-names></name> <name><surname>Yihua</surname> <given-names>Q</given-names></name> <name><surname>Iyer</surname> <given-names>SP</given-names></name> <name><surname>Ganapathy</surname> <given-names>S</given-names></name> <name><surname>Proia</surname> <given-names>DA</given-names></name> <name><surname>Penalva</surname> <given-names>LO</given-names></name> <etal/></person-group>. <article-title>WTAP is a novel oncogenic protein in acute myeloid leukemia</article-title>. <source>Leukemia</source>. (<year>2014</year>) <volume>28</volume>:<fpage>1171</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1038/leu.2014.16</pub-id><pub-id pub-id-type="pmid">24413322</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chai</surname> <given-names>RC</given-names></name> <name><surname>Wu</surname> <given-names>F</given-names></name> <name><surname>Wang</surname> <given-names>QX</given-names></name> <name><surname>Zhang</surname> <given-names>S</given-names></name> <name><surname>Zhang</surname> <given-names>KN</given-names></name> <name><surname>Liu</surname> <given-names>YQ</given-names></name> <etal/></person-group>. <article-title>m(6)A RNA methylation regulators contribute to malignant progression and have clinical prognostic impact in gliomas</article-title>. <source>Aging.</source> (<year>2019</year>) <volume>11</volume>:<fpage>1204</fpage>&#x02013;<lpage>25</lpage>. <pub-id pub-id-type="doi">10.18632/aging.101829</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>Z</given-names></name> <name><surname>Kong</surname> <given-names>B</given-names></name> <name><surname>Song</surname> <given-names>C</given-names></name> <name><surname>Cong</surname> <given-names>J</given-names></name> <name><surname>Hou</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Reduced m(6)A mRNA methylation is correlated with the progression of human cervical cancer</article-title>. <source>Oncotarget</source>. (<year>2017</year>) <volume>8</volume>:<fpage>98918</fpage>&#x02013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.18632/oncotarget.22041</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kwok</surname> <given-names>CT</given-names></name> <name><surname>Marshall</surname> <given-names>AD</given-names></name> <name><surname>Rasko</surname> <given-names>JE</given-names></name> <name><surname>Wong</surname> <given-names>JJ</given-names></name></person-group>. <article-title>Genetic alterations of m(6)A regulators predict poorer survival in acute myeloid leukemia</article-title>. <source>J Hematol Oncol</source>. (<year>2017</year>) <volume>10</volume>:<fpage>39</fpage>. <pub-id pub-id-type="doi">10.1186/s13045-017-0410-6</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cho</surname> <given-names>SH</given-names></name> <name><surname>Ha</surname> <given-names>M</given-names></name> <name><surname>Cho</surname> <given-names>YH</given-names></name> <name><surname>Ryu</surname> <given-names>JH</given-names></name> <name><surname>Yang</surname> <given-names>K</given-names></name> <name><surname>Lee</surname> <given-names>KH</given-names></name> <etal/></person-group>. <article-title>ALKBH5 gene is a novel biomarker that predicts the prognosis of pancreatic cancer: a retrospective multicohort study</article-title>. <source>Ann Hepatobiliary Pancreat Surg</source>. (<year>2018</year>) <volume>22</volume>:<fpage>305</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.14701/ahbps.2018.22.4.305</pub-id><pub-id pub-id-type="pmid">30588520</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>X</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Mao</surname> <given-names>Q</given-names></name> <name><surname>Jiang</surname> <given-names>X</given-names></name> <name><surname>Jiang</surname> <given-names>W</given-names></name> <name><surname>Chen</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Overexpression of YTHDF1 is associated with poor prognosis in patients with hepatocellular carcinoma</article-title>. <source>Cancer Biomark</source>. (<year>2018</year>) <volume>21</volume>:<fpage>859</fpage>&#x02013;<lpage>68</lpage>. <pub-id pub-id-type="doi">10.3233/CBM-170791</pub-id><pub-id pub-id-type="pmid">29439311</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kandimalla</surname> <given-names>R</given-names></name> <name><surname>Gao</surname> <given-names>F</given-names></name> <name><surname>Ruan</surname> <given-names>C</given-names></name> <name><surname>Hsieh</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>X</given-names></name> <name><surname>Goel</surname> <given-names>A</given-names></name></person-group>. <article-title>Dysregulation of m6A RNA methylation regulators in colorectal cancer: clinical implication as prognostic biomarkers and potential therapeutic targets</article-title>. <source>Cancer Res</source>. (<year>2018</year>) <volume>78</volume>:<fpage>3321</fpage>. <pub-id pub-id-type="doi">10.1158/1538-7445.AM2018-3321</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fu</surname> <given-names>Y</given-names></name> <name><surname>Dominissini</surname> <given-names>D</given-names></name> <name><surname>Rechavi</surname> <given-names>G</given-names></name> <name><surname>He</surname> <given-names>C</given-names></name></person-group>. <article-title>Gene expression regulation mediated through reversible m(6)A RNA methylation</article-title>. <source>Nat Rev Genet</source>. (<year>2014</year>) <volume>15</volume>:<fpage>293</fpage>&#x02013;<lpage>306</lpage>. <pub-id pub-id-type="doi">10.1038/nrg3724</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jain</surname> <given-names>D</given-names></name> <name><surname>Puno</surname> <given-names>MR</given-names></name> <name><surname>Meydan</surname> <given-names>C</given-names></name> <name><surname>Lailler</surname> <given-names>N</given-names></name> <name><surname>Mason</surname> <given-names>CE</given-names></name> <name><surname>Lima</surname> <given-names>CD</given-names></name> <etal/></person-group>. <article-title>ketu mutant mice uncover an essential meiotic function for the ancient RNA helicase YTHDC2</article-title>. <source>Elife</source>. (<year>2018</year>) <volume>7</volume>:<fpage>e30919</fpage>. <pub-id pub-id-type="doi">10.7554/eLife.30919</pub-id><pub-id pub-id-type="pmid">29360036</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tanabe</surname> <given-names>A</given-names></name> <name><surname>Tanikawa</surname> <given-names>K</given-names></name> <name><surname>Tsunetomi</surname> <given-names>M</given-names></name> <name><surname>Takai</surname> <given-names>K</given-names></name> <name><surname>Ikeda</surname> <given-names>H</given-names></name> <name><surname>Konno</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>RNA helicase YTHDC2 promotes cancer metastasis via the enhancement of the efficiency by which HIF-1alpha mRNA is translated</article-title>. <source>Cancer Lett</source>. (<year>2016</year>) <volume>376</volume>:<fpage>34</fpage>&#x02013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1016/j.canlet.2016.02.022</pub-id><pub-id pub-id-type="pmid">26996300</pub-id></citation></ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>G</given-names></name> <name><surname>Dahl</surname> <given-names>JA</given-names></name> <name><surname>Niu</surname> <given-names>Y</given-names></name> <name><surname>Fedorcsak</surname> <given-names>P</given-names></name> <name><surname>Huang</surname> <given-names>CM</given-names></name> <name><surname>Li</surname> <given-names>CJ</given-names></name> <etal/></person-group>. <article-title>ALKBH5 is a mammalian RNA demethylase that impacts RNA metabolism and mouse fertility</article-title>. <source>Mol Cell</source>. (<year>2013</year>) <volume>49</volume>:<fpage>18</fpage>&#x02013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.1016/j.molcel.2012.10.015</pub-id><pub-id pub-id-type="pmid">23177736</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>C</given-names></name> <name><surname>Samanta</surname> <given-names>D</given-names></name> <name><surname>Lu</surname> <given-names>H</given-names></name> <name><surname>Bullen</surname> <given-names>JW</given-names></name> <name><surname>Zhang</surname> <given-names>H</given-names></name> <name><surname>Chen</surname> <given-names>I</given-names></name> <etal/></person-group>. <article-title>Hypoxia induces the breast cancer stem cell phenotype by HIF-dependent and ALKBH5-mediated m(6)A-demethylation of NANOG mRNA</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2016</year>) <volume>113</volume>:<fpage>E2047</fpage>&#x02013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1073/pnas.1602883113</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nagaraju</surname> <given-names>GP</given-names></name> <name><surname>Bramhachari</surname> <given-names>PV</given-names></name> <name><surname>Raghu</surname> <given-names>G</given-names></name> <name><surname>El-Rayes</surname> <given-names>BF</given-names></name></person-group>. <article-title>Hypoxia inducible factor-1alpha: its role in colorectal carcinogenesis and metastasis</article-title>. <source>Cancer Lett</source>. (<year>2015</year>) <volume>366</volume>:<fpage>11</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.canlet.2015.06.005</pub-id><pub-id pub-id-type="pmid">26116902</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>X</given-names></name> <name><surname>Liu</surname> <given-names>L</given-names></name> <name><surname>Dong</surname> <given-names>Z</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Yu</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>X</given-names></name> <etal/></person-group>. <article-title>Expression patterns and prognostic value of m(6)A-related genes in colorectal cancer</article-title>. <source>Am J Transl Res</source>. (<year>2019</year>) <volume>11</volume>:<fpage>3972</fpage>&#x02013;<lpage>91</lpage>.</citation></ref>
</ref-list>
<fn-group>
<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This work was supported by the Tianjin Union Medical Center Program (grant numbers 2017YJ020).</p>
</fn>
</fn-group>
</back>
</article>