Coexpression network analysis linked H2AFJ to chemoradiation resistance in colorectal cancer

Neoadjuvant chemoradiotherapy (CRT) resistance is a complex phenomenon and it remains a major problem for patients with a priori resistant tumor. Therefore, there is a strong need to investigate molecular biomarkers which may guide for treatment decision‐making. In our study, weighted gene coexpress...

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Veröffentlicht in:Journal of cellular biochemistry 2019-06, Vol.120 (6), p.10351-10362
Hauptverfasser: Wang, Xiaojie, Ghareeb, Waleed M., Lu, Xingrong, Huang, Ying, Huang, Shenghui, Chi, Pan
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container_issue 6
container_start_page 10351
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creator Wang, Xiaojie
Ghareeb, Waleed M.
Lu, Xingrong
Huang, Ying
Huang, Shenghui
Chi, Pan
description Neoadjuvant chemoradiotherapy (CRT) resistance is a complex phenomenon and it remains a major problem for patients with a priori resistant tumor. Therefore, there is a strong need to investigate molecular biomarkers which may guide for treatment decision‐making. In our study, weighted gene coexpression network analysis was applied to identify CRT‐resistance hub modules in 12 colorectal cancer (CRC) cell lines with different CRT sensitivities from GSE20298 data set. The green module and purple module had the highest correlations with CRT resistance. Gene ontology enrichment analysis indicated that the function of these two modules focused on interferon‐mediated signaling pathway, immune response, chromatin modulation, Rho GTPases activities, and regulation of apoptotic process. Then, 15 hub genes in both the coexpression and protein‐protein interaction networks were selected. Among these hub genes, higher H2A histone family member J (H2AFJ) expression was independently validated in patient cohorts from two testing data sets of GSE46862 and GSE68204 to be related to CRT resistance. The receiver operating characteristic curve showed that H2AFJ could efficiently distinguish CRT‐resistance cases from CRT‐sensitive cases in another two testing data sets. Furthermore, meta‐analysis of 12 Gene Expression Omnibus–sourced data sets showed that H2AFJ messenger RNA levels were significantly higher in CRC tissues than in normal colon tissues. High H2AFJ expression was correlated with a significant worse event‐ and relapse‐free survival by analyzing the data from the R2: Genomics Analysis and Visualization Platform. Gene set enrichment analysis determined that the mechanism of H2AFJ‐mediated CRT resistance might involve the ERK5 (MAPK7), human immunodeficiency virus Nef (HIV Nef), and inflammatory pathways. This study is the first, to the best of our knowledge, to implicate and verify H2AFJ as an effective new marker for CRT response prediction. In the present study, we found that the crucial functions enriched in chemoradiotherapy (CRT)‐resistance module by weighted gene coexpression network analysis were interferon‐mediated signaling pathway, immune response, and chromatin modulation. Our study identifies and validates H2AFJ as an effective new predictor for CRT resistance and a prognostic factor for worse colorectal cancer patient survival. The mechanism of H2AFJ‐mediated CRT resistance may involve the ERK5 (MAPK7), human immunodeficiency virus Nef, and inflammatory
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Therefore, there is a strong need to investigate molecular biomarkers which may guide for treatment decision‐making. In our study, weighted gene coexpression network analysis was applied to identify CRT‐resistance hub modules in 12 colorectal cancer (CRC) cell lines with different CRT sensitivities from GSE20298 data set. The green module and purple module had the highest correlations with CRT resistance. Gene ontology enrichment analysis indicated that the function of these two modules focused on interferon‐mediated signaling pathway, immune response, chromatin modulation, Rho GTPases activities, and regulation of apoptotic process. Then, 15 hub genes in both the coexpression and protein‐protein interaction networks were selected. Among these hub genes, higher H2A histone family member J (H2AFJ) expression was independently validated in patient cohorts from two testing data sets of GSE46862 and GSE68204 to be related to CRT resistance. The receiver operating characteristic curve showed that H2AFJ could efficiently distinguish CRT‐resistance cases from CRT‐sensitive cases in another two testing data sets. Furthermore, meta‐analysis of 12 Gene Expression Omnibus–sourced data sets showed that H2AFJ messenger RNA levels were significantly higher in CRC tissues than in normal colon tissues. High H2AFJ expression was correlated with a significant worse event‐ and relapse‐free survival by analyzing the data from the R2: Genomics Analysis and Visualization Platform. Gene set enrichment analysis determined that the mechanism of H2AFJ‐mediated CRT resistance might involve the ERK5 (MAPK7), human immunodeficiency virus Nef (HIV Nef), and inflammatory pathways. This study is the first, to the best of our knowledge, to implicate and verify H2AFJ as an effective new marker for CRT response prediction. In the present study, we found that the crucial functions enriched in chemoradiotherapy (CRT)‐resistance module by weighted gene coexpression network analysis were interferon‐mediated signaling pathway, immune response, and chromatin modulation. Our study identifies and validates H2AFJ as an effective new predictor for CRT resistance and a prognostic factor for worse colorectal cancer patient survival. 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Therefore, there is a strong need to investigate molecular biomarkers which may guide for treatment decision‐making. In our study, weighted gene coexpression network analysis was applied to identify CRT‐resistance hub modules in 12 colorectal cancer (CRC) cell lines with different CRT sensitivities from GSE20298 data set. The green module and purple module had the highest correlations with CRT resistance. Gene ontology enrichment analysis indicated that the function of these two modules focused on interferon‐mediated signaling pathway, immune response, chromatin modulation, Rho GTPases activities, and regulation of apoptotic process. Then, 15 hub genes in both the coexpression and protein‐protein interaction networks were selected. Among these hub genes, higher H2A histone family member J (H2AFJ) expression was independently validated in patient cohorts from two testing data sets of GSE46862 and GSE68204 to be related to CRT resistance. The receiver operating characteristic curve showed that H2AFJ could efficiently distinguish CRT‐resistance cases from CRT‐sensitive cases in another two testing data sets. Furthermore, meta‐analysis of 12 Gene Expression Omnibus–sourced data sets showed that H2AFJ messenger RNA levels were significantly higher in CRC tissues than in normal colon tissues. High H2AFJ expression was correlated with a significant worse event‐ and relapse‐free survival by analyzing the data from the R2: Genomics Analysis and Visualization Platform. Gene set enrichment analysis determined that the mechanism of H2AFJ‐mediated CRT resistance might involve the ERK5 (MAPK7), human immunodeficiency virus Nef (HIV Nef), and inflammatory pathways. This study is the first, to the best of our knowledge, to implicate and verify H2AFJ as an effective new marker for CRT response prediction. In the present study, we found that the crucial functions enriched in chemoradiotherapy (CRT)‐resistance module by weighted gene coexpression network analysis were interferon‐mediated signaling pathway, immune response, and chromatin modulation. Our study identifies and validates H2AFJ as an effective new predictor for CRT resistance and a prognostic factor for worse colorectal cancer patient survival. The mechanism of H2AFJ‐mediated CRT resistance may involve the ERK5 (MAPK7), human immunodeficiency virus Nef, and inflammatory pathways.</description><subject>Apoptosis</subject><subject>Biomarkers</subject><subject>Cancer</subject><subject>Chemoradiotherapy</subject><subject>Chromatin</subject><subject>Colon</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Datasets</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Disease resistance</subject><subject>Enrichment</subject><subject>Gene expression</subject><subject>Gene set enrichment analysis</subject><subject>Genes</subject><subject>H2AFJ</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Immune response</subject><subject>Immune system</subject><subject>Immunomodulation</subject><subject>Inflammation</subject><subject>Interferon</subject><subject>Modules</subject><subject>mRNA</subject><subject>Nef protein</subject><subject>neoadjuvant chemoradiotherapy</subject><subject>Network analysis</subject><subject>Patients</subject><subject>Proteins</subject><subject>resistance</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Signal transduction</subject><subject>Tissues</subject><subject>Tumor cell lines</subject><subject>Viruses</subject><subject>weighted gene coexpression network analysis</subject><issn>0730-2312</issn><issn>1097-4644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp10E9LwzAYBvAgipvTg19AAl700C1_mqY9zuKcMvCiN6Gk6VvM1jUz6Zj79mZuehA8vSH55YH3QeiSkiElhI3muhyylNPsCPUpyWQUJ3F8jPpEchIxTlkPnXk_J4RkGWenqMeJSISMZR-95RY-Vw68N7bFLXQb6xZYtarZeuNxY9oFVHjKxpMn3Fms32FpnaqM6nY-_DO-U60GbFqsbWMd6E41WO_u3Dk6qVXj4eIwB-h1cv-ST6PZ88NjPp5FmgueRZwlogJRVhmtac0plcBkzBgPQ5YZMBHLmlLgKQ3H8FxCnZUpFxXTiseSD9DNPnfl7McafFcsjdfQNKoFu_YFoyIVQtCEBXr9h87t2oV1g2IkYUmoKA3qdq-0s947qIuVM0vltgUlxa7yIlRefFce7NUhcV0uofqVPx0HMNqDjWlg-39S8ZTf7SO_AIL9iTk</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Wang, Xiaojie</creator><creator>Ghareeb, Waleed M.</creator><creator>Lu, Xingrong</creator><creator>Huang, Ying</creator><creator>Huang, Shenghui</creator><creator>Chi, Pan</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0004-1174</orcidid></search><sort><creationdate>201906</creationdate><title>Coexpression network analysis linked H2AFJ to chemoradiation resistance in colorectal cancer</title><author>Wang, Xiaojie ; 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Therefore, there is a strong need to investigate molecular biomarkers which may guide for treatment decision‐making. In our study, weighted gene coexpression network analysis was applied to identify CRT‐resistance hub modules in 12 colorectal cancer (CRC) cell lines with different CRT sensitivities from GSE20298 data set. The green module and purple module had the highest correlations with CRT resistance. Gene ontology enrichment analysis indicated that the function of these two modules focused on interferon‐mediated signaling pathway, immune response, chromatin modulation, Rho GTPases activities, and regulation of apoptotic process. Then, 15 hub genes in both the coexpression and protein‐protein interaction networks were selected. Among these hub genes, higher H2A histone family member J (H2AFJ) expression was independently validated in patient cohorts from two testing data sets of GSE46862 and GSE68204 to be related to CRT resistance. The receiver operating characteristic curve showed that H2AFJ could efficiently distinguish CRT‐resistance cases from CRT‐sensitive cases in another two testing data sets. Furthermore, meta‐analysis of 12 Gene Expression Omnibus–sourced data sets showed that H2AFJ messenger RNA levels were significantly higher in CRC tissues than in normal colon tissues. High H2AFJ expression was correlated with a significant worse event‐ and relapse‐free survival by analyzing the data from the R2: Genomics Analysis and Visualization Platform. Gene set enrichment analysis determined that the mechanism of H2AFJ‐mediated CRT resistance might involve the ERK5 (MAPK7), human immunodeficiency virus Nef (HIV Nef), and inflammatory pathways. This study is the first, to the best of our knowledge, to implicate and verify H2AFJ as an effective new marker for CRT response prediction. In the present study, we found that the crucial functions enriched in chemoradiotherapy (CRT)‐resistance module by weighted gene coexpression network analysis were interferon‐mediated signaling pathway, immune response, and chromatin modulation. Our study identifies and validates H2AFJ as an effective new predictor for CRT resistance and a prognostic factor for worse colorectal cancer patient survival. The mechanism of H2AFJ‐mediated CRT resistance may involve the ERK5 (MAPK7), human immunodeficiency virus Nef, and inflammatory pathways.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30565747</pmid><doi>10.1002/jcb.28319</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-0004-1174</orcidid></addata></record>
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subjects Apoptosis
Biomarkers
Cancer
Chemoradiotherapy
Chromatin
Colon
Colorectal cancer
Colorectal carcinoma
Data analysis
Data processing
Datasets
Decision analysis
Decision making
Disease resistance
Enrichment
Gene expression
Gene set enrichment analysis
Genes
H2AFJ
HIV
Human immunodeficiency virus
Immune response
Immune system
Immunomodulation
Inflammation
Interferon
Modules
mRNA
Nef protein
neoadjuvant chemoradiotherapy
Network analysis
Patients
Proteins
resistance
Ribonucleic acid
RNA
Signal transduction
Tissues
Tumor cell lines
Viruses
weighted gene coexpression network analysis
title Coexpression network analysis linked H2AFJ to chemoradiation resistance in colorectal cancer
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