[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-333553-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-333553-en":130},{"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-for-psoriasis-and-cancer-by-bioinformatic-analysis","Identification of Hub Genes for Psoriasis and Cancer by Bioinformatic Analysis","","Psoriasis is an inflammatory immune-mediated disease that increases the risk of developing multiple cancers, including colon cancer, yet the shared pathogenic mechanisms remain unclear. This study applies bioinformatic analysis to psoriasis and colon cancer by integrating GEO skin tissue dataset GSE117239 and intestinal tissue dataset GSE44076. Differentially expressed genes and shared genes were identified, followed by GO/KEGG enrichment highlighting cell-cycle-related processes. Thirteen hub genes and three hub transcription factors were selected, showing high diagnostic relevance and tumor-associated expression. In addition, 251 candidate drugs were predicted, including overlapping options with existing therapies, offering directions for mechanism research and treatment development.",{"@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-for-psoriasis-and-cancer-by-bioinformatic-analysis/333553/",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-for-psoriasis-and-cancer-by-bioinformatic-analysis/333553.png","ImageObject",300,407,{"name":42,"@type":43},"Maeve","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-23","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",5,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What datasets were used to analyze psoriasis and colon cancer in this study?","Question",{"text":63,"@type":64},"The study downloaded psoriasis skin tissue data (GSE117239) and colon cancer intestinal tissue data (GSE44076) from the GEO database.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which biological processes were emphasized by GO and KEGG enrichment analyses?",{"text":68,"@type":64},"The GO and KEGG enrichment results were mainly related to biological processes of the cell cycle.",{"name":70,"@type":61,"acceptedAnswer":71},"What hub genes and hub transcription factors were identified?",{"text":72,"@type":64},"Thirteen hub genes were selected, including AURKA, DLGAP5, NCAPG, CCNB1, NDC80, BUB1B, TTK, CCNB2, AURKB, TOP2A, ASPM, BUB1, and KIF20A. Three hub transcription factors were predicted: E2F1, E2F3, and BRCA1.","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},333553,1790148827,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,100,105,110,114,119,122,126],{"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":55,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":55,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":139,"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},5909877438554,"https://ap-avatar.wpscdn.com/avatar/5600025385ad2bf12a7?_k=1778553567797529272","Wiley  \nBioMed Research International  \nVolume 2024, Article ID 5058607, 14 pages [https://doi.org/10.1155/2024/5058607](https://doi.org/10.1155/2024/5058607)  \nResearch Article  \nIdentification of Hub Genes for Psoriasis and Cancer by Bioinformatic Analysis  \nYao Yu , 1 Shaoze Ma ,2 and Jinzhe Zhou 3  \n1Department of Dermatology, Shanghai Putuo District Liqun Hospital, Shanghai 200333, China  \n2Department of Urology Surgery, Baoshan Branch of Shanghai Hospital Aﬃliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201999, China  \n3Department of General Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China  \nCorrespondence should be addressed to Jinzhe Zhou; [1410675@tongji.edu.cn](1410675@tongji.edu.cn)  \nReceived 13 April 2024; Revised 11 June 2024; Accepted 18 June 2024  \nAcademic Editor: Shibiao Wan  \nCopyright © 2024 Yao Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  \nPsoriasis increases the risk of developing various cancers, including colon cancer. The pathogenesis of the co-occurrence of psoriasis and cancer is not yet clear. This study is aimed at analyzing the pathogenesis of psoriasis combined with cancer by bioinformatic analysis. Skin tissue data from psoriasis (GSE117239) and intestinal tissue data from colon cancer (GSE44076) were downloaded from the GEO database. One thousand two hundred ninety-six common diﬀerentially expressed genes and  \n688 common shared genes for psoriasis and colon cancer were determined, respectively, using the limma R package and weighted gene coexpression network analysis (WGCNA) methods. The results of the GO and KEGG enrichment analyses were mainly related to the biological processes of the cell cycle. Thirteen hub genes were selected, including AURKA, DLGAP5, NCAPG, CCNB1, NDC80, BUB1B, TTK, CCNB2, AURKB, TOP2A, ASPM, BUB1, and KIF20A. These hub genes have high diagnostic value, and most of them are positively correlated with activated CD4 T cells. Three hub transcription factors (TFs) were also predicted: E2F1, E2F3, and BRCA1 . These hub genes and hub TFs are highly expressed in various cancers. Furthermore, 251 drugs were predicted, and some of them overlap with existing therapeutic drugs for psoriasis or colon cancer. This study revealed some genetic mechanisms of psoriasis and cancer by bioinformatic analysis. These hub genes, hub TFs, and predicted drugs may provide new perspectives for further research on the mechanism and treatment.  \nKeywords: bioinformatic analysis; cancer; hub genes; psoriasis  \n1. Introduction  \nPsoriasis is a prevalent inﬂammatory and immune-mediated disease identiﬁed by the presence of erythematous scaly lesions. Extensive studies have indicated that people with psoriasis are confront with an increased risk of developing various cancers, such as lung cancer, bladder cancer (BLCA), hepatobiliary cancer, colorectal cancer, rectal cancer, squamous cell carcinoma, and lymphoma [1–4] . Not only that, patients with psoriasis also have an increased risk of cancer-related mortality [4] . Further research has suggested that increased susceptibility to cancer in psoriasis patients is considered to be aﬀected by factors, such as impaired immune surveillance, immunomodulatory therapy, chronic inﬂammation, obesity, and other commonly shared risk fac-  \ntors [3, 5] . Abnormal immunoinﬂammatory microenvironment and cell proliferation form a vicious cycle that plays a role in psoriasis and cancer, promoting keratinocyte proliferation in psoriasis and tumor cell proliferation in cancer [6–8] . In the past decades, studies on the mechanism of the two diseases have mainly focused on immune and inﬂammatory abnormalities. The underlying genetic mechanism remains unclear.  \nFurthermore, there is limited research on the treatment of patients with b","cbCaitEEvJDZEM5I","https://ap.wps.com/l/cbCaitEEvJDZEM5I","pdf",2935697,14,"English","# 1. Introduction\n## Psoriasis and cancer co-occurrence risk\n## Shared genetic mechanisms and research gaps\n## Colon cancer as a focal point\n## Study aim and approach","[{\"question\":\"What datasets were used to analyze psoriasis and colon cancer in this study?\",\"answer\":\"The study downloaded psoriasis skin tissue data (GSE117239) and colon cancer intestinal tissue data (GSE44076) from the GEO database.\"},{\"question\":\"Which biological processes were emphasized by GO and KEGG enrichment analyses?\",\"answer\":\"The GO and KEGG enrichment results were mainly related to biological processes of the cell cycle.\"},{\"question\":\"What hub genes and hub transcription factors were identified?\",\"answer\":\"Thirteen hub genes were selected, including AURKA, DLGAP5, NCAPG, CCNB1, NDC80, BUB1B, TTK, CCNB2, AURKB, TOP2A, ASPM, BUB1, and KIF20A. Three hub transcription factors were predicted: E2F1, E2F3, and BRCA1.\"}]","Identification of Hub Genes for Psoriasis and Cancer by Bioinformatic Analysis | PDF",1790002978,35]