[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-333469-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-333469-en":131},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","identification-of-hub-genes-with-prognostic-values-in-colorectal-cancer-by-integrated-bioinformatics-analysis","Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis","","Background: This study investigates hub genes and their prognostic value in colorectal cancer (CRC) using integrated bioinformatics. Methods: Differential expression analysis used GEO datasets (GSE21510, GSE110224, GSE74602) with GEO2R, followed by hub-gene screening via protein-protein interaction (PPI) analysis. GEPIA validated expression and prognosis, while Human Protein Atlas assessed protein expression. cBioPortal analyzed hub-gene mutation types, frequencies, and prognostic impacts; TIMER evaluated associations with immune infiltration. Gene set enrichment analysis (GSEA) explored functions and signaling pathways. Results: 346 DEGs were identified, and four hub genes (AURKA, CCNB1, EXO1, CCNA2) showed higher expression in CRC versus adjacent tissues. Immune infiltration and mutations were observed, with enrichment in cell-cycle and DNA replication-related processes.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/identification-of-hub-genes-with-prognostic-values-in-colorectal-cancer-by-integrated-bioinformatics-analysis/333469/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/identification-of-hub-genes-with-prognostic-values-in-colorectal-cancer-by-integrated-bioinformatics-analysis/333469.png","ImageObject",300,407,{"name":42,"@type":43},"Hazel","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-29","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",11,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Which datasets and tools were used to identify differential expression and hub genes in CRC?","Question",{"text":63,"@type":64},"The study used GEO datasets (GSE21510, GSE110224, and GSE74602) with GEO2R for differential expression analysis, then applied PPI comprehensive analysis to screen hub genes.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What were the four hub genes selected, and how did their expression differ between CRC and adjacent tissues?",{"text":68,"@type":64},"AURKA, CCNB1, EXO1, and CCNA2 were selected. Their protein and mRNA levels were higher in CRC tissues than in adjacent tissues.",{"name":70,"@type":61,"acceptedAnswer":71},"How were prognosis, gene mutations, and immune infiltration evaluated for hub genes?",{"text":72,"@type":64},"GEPIA assessed prognostic value, cBioPortal analyzed mutation type and frequency and linked mutations to patient prognosis, and TIMER examined correlations between hub genes and immune infiltration.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},333469,1790173172,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,111,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":108,"show_sort_weight":109,"slug":110},7,"Healthcare",40,"healthcare",{"id":112,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":113,"slug":114},8,30,"research-report",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":25,"category_name":129,"show_sort_weight":97,"slug":130},19,"General","general",{"code":4,"msg":82,"data":132},{"doc_id":79,"user_id":133,"nickname":42,"user_avatar":134,"doc_module":4,"category_id":112,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":128,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":144,"read_time":145,"preview_page_count":4},137441390410,"https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984","Cancer Biomarkers 40 (2024) 27–45 27  \nDOI 10.3233/CBM-230113 IOS Press  \nIdentification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis  \nShan Lia , Ting Lib , Yan-Qing Shib , Bin-Jie Xua , Yu-Yong Denga and Xu-Guang Sunc ;􀀃  \na Precision Preventive Medicine Laboratory of Basic Medical School, Jiujiang University, Jiujiang, Jiangxi, China b Department of Pathology, Affiliated Hospital of Jiujiang University, Jiujiang, Jiangxi, China  \ncArt School, Jiujiang University, Jiujiang, Jiangxi, China  \nReceived 4 April 2023  \nAccepted 10 December 2023  \nAbstract.  \nBACKGROUND: Our study aimed to investigate the Hub genes and their prognostic value in colorectal cancer (CRC) via bioinformatics analysis.  \nMETHODS: The data set of colorectal cancer was downloaded from the GEO database (GSE21510, GSE110224 and GSE74602) for differential expression analysis using the GEO2R tool. Hub genes were screened by protein-protein interaction (PPI) comprehensive analysis. GEPIA was used to verify the expression of Hub genes and evaluate its prognostic value. The protein expression of Hub gene in CRC was analyzed using the Human Protein Atlas database. The cBioPortal was used to analyze the type and frequency of Hub gene mutations, and the effects of mutation on the patients' prognosis. The TIMER database was used to study the correlation between Hub genes and immune infiltration in CRC. Gene set enrichment analysis (GSEA) was used to explore the biological function and signal pathway of the Hub genes and corresponding co-expressed genes.  \nRESULTS: We identified 346 differentially expressed genes (DEGs), including 117 upregulated and 229 downregulated. Four Hub genes (AURKA, CCNB1, EXO1 and CCNA2) were selected by survival analysis and differential expression validation. The protein and mRNA expression levels ofAURKA, CCNB1, EXO1 and CCNA2 were higher in CRC tissues than in adjacent tissues. There were varying degrees of immune cell infiltration and gene mutation of Hub genes, especially B cells and CD8+ T cells. The results of GSEA showed that Hub genes and their co-expressed genes mainly participated in chromosome segregation, DNA replication, translational elongation and cell cycle.  \nCONCLUSION: Overexpression ofAURKA, CCNB1, CCNA2 and EXO1 had a better prognosis for CRC and this effect was correlation with gene mutation and infiltration of immune cells.  \nKeywords: Colorectal cancer, bioinformatics analysis, Hub genes, prognosis  \nAbbreviations  \nCRC colorectal cancer  \nGEO Gene Expression Omnibus TCGA The Cancer Genome Atlas DEGs differentially expressed genes  \n􀀃 Corresponding author: Xuguang Sun, Art School, Jiujiang University, No.551 of Qianjin East Road, Lianxi District, Jiujiang, Jiangxi 332000, China. E-mail: [6060140@jju.edu.cn](6060140@jju.edu.cn).  \nDFS  \nGTEx  \nROC  \nSMD GEPIA  \nHPA  \nPPI  \nTIMER COAD  \ndisease-free survival  \nGenotype Tissue Expression receiver's operating characteristics standard mean difference  \nGene Expression Profiling Interactive Analysis  \nHuman Protein Atlas  \nProtein-protein interaction  \nTumor Immune Estimation Resource colon adenocarcinoma  \nISSN 1574-0153 􀀍c 2024 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4 .0) .  \n28 S. Li et al. / Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis  \nGO Gene Ontology  \nKEGG Kyoto Encyclopedia of Genes and  \nGenomes BP biological process CC cellular component MF molecular function  \n1. Introduction  \nColorectal cancer (CRC) is a common gastrointestinal malignancy with high morbidity and mortality [1] . The incidence of CRC showed an increasing trend with changes in lifestyle and dietary habits [2,3]. The early diagnosis and treatment of CRC is crucial for improving the prognosis of CRC patients [4,5] . The overall survival of patients with advanced CR","cbCaigvYpivgROFx","https://ap.wps.com/l/cbCaigvYpivgROFx","pdf",9430097,"English","# Introduction\n# Materials and Methods\n## Differential expression and hub gene screening\n## Expression, prognosis, mutations, and immune infiltration analyses\n## Gene set enrichment analysis (GSEA)\n# Results\n# Conclusion","[{\"question\":\"Which datasets and tools were used to identify differential expression and hub genes in CRC?\",\"answer\":\"The study used GEO datasets (GSE21510, GSE110224, and GSE74602) with GEO2R for differential expression analysis, then applied PPI comprehensive analysis to screen hub genes.\"},{\"question\":\"What were the four hub genes selected, and how did their expression differ between CRC and adjacent tissues?\",\"answer\":\"AURKA, CCNB1, EXO1, and CCNA2 were selected. Their protein and mRNA levels were higher in CRC tissues than in adjacent tissues.\"},{\"question\":\"How were prognosis, gene mutations, and immune infiltration evaluated for hub genes?\",\"answer\":\"GEPIA assessed prognostic value, cBioPortal analyzed mutation type and frequency and linked mutations to patient prognosis, and TIMER examined correlations between hub genes and immune infiltration.\"}]","Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis | PDF",1790002604,48]