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Gene set enrichment analysis (GSEA) was used to map involved immune pathways, and single-cell, LASSO Cox modeling, survival and drug analyses were performed to evaluate activity across cancer types, linking abnormal expression to CNA and DNA methylation.",{"@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 & 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analysis of T-cell proliferation regulatory genes as potential immunotherapeutic targets  \nRuqiong Wei1,*, Shihui Xiao2,*, Shijian Zhao3,*, Wenliang Guo4, Ying Liu1, Marìa del Mar Requena Mullor5, Raquel Alarcòn Rodrìguez5, Qingjun Wei2, Yinteng Wu2  \n1 Department of Rehabilitation Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China  \n2 Department of Orthopedic and Trauma Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China  \n3 Department of Cardiology, The Affiliated Cardiovascular Hospital of Kunming Medical University (Fuwai Yunnan Cardiovascular Hospital), Kunming, Yunnan 650000, China  \n4 Department of Rehabilitation Medicine, The Eighth Affiliated Hospital of Guangxi Medical University, Guigang, Guangxi 537100, China  \n5 Faculty of Health Sciences, University of Almerìa, Carretera de Sacramento, Almeria 04120, Spain  \n* Equal contribution  \nCorrespondence to: Yinteng Wu, Qingjun Wei, Raquel Alarcòn Rodrìguez; [email:](email: wuyinteng@stu.gxmu.edu.cn)[ ](email: wuyinteng@stu.gxmu.edu.cn)[wuyinteng@stu.gxmu.edu.cn](email: wuyinteng@stu.gxmu.edu.cn), [weiqingjun@gxmu.edu.cn](weiqingjun@gxmu.edu.cn), [ralarcon@ual.es](ralarcon@ual.es)  \nKeywords: T-cell proliferation regulatory genes, T cells, CD8+ T cells, CD4+ T cells, cancer, tumor immune microenvironment (TIM)  \nReceived: November 27, 2023 Accepted: May 3, 2024 Published: June 29, 2024  \nCopyright: © 2024 Wei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.  \nABSTRACT  \nT cells are the key to killing tumor cells. However, the exact mechanism of their role in cancer is not fully understood. Therefore, a comprehensive understanding of the role of T-cell proliferation regulatory genes in tumors is needed. In our study, we investigated the expression levels of genes controlling T-cell proliferation, their impact on prognosis, and their genetic variations. Additionally, we explored their associations with TMB, MSI, ESTIMATEScore, ImmuneScore, StromalScore, and immune cell infiltration. We examined the role of these genes in cancer-related pathways using GSEA. Furthermore, we calculated their activity levels across various types of cancer. Drug analysis was also conducted targeting these genes. Single-cell analysis, LASSO Cox model construction, and prognosis analysis were performed. We observed distinct expression patterns of T-cell proliferation regulatory genes across different malignant tumors. Their abnormal expression may be caused by CNA and DNA methylation. In certain cancers, they also showed complex associations with TMB and MSI. Moreover, in many tumors, they exhibited significant positive correlations with ESTIMATEScores, ImmuneScore, and StromalScore. Additionally, in most tumors, their GSVA scores were significantly positively correlated with various T-cell subtypes. GSEA analysis revealed their involvement in multiple immune pathways. Furthermore, we found that model scores were associated with patient prognosis and related to tumor malignancy progression. T-cell proliferation regulatory genes are closely associated with the tumor immune microenvironment (TIM), especially T cells. Targeting them may be an essential approach for cancer immunotherapy.  \n11224  \nINTRODUCTION  \nSolid tumors are highly complex tissues that contain highly heterogeneous cancer cells and a tumor microenvironment (TME) composed of immune cells, stromal cells, blood vessels/lymphatics, nerve endings, and extracellular matrix (ECM) . Among them, various signaling molecules act as immunomodulatory microenvironments to continuously reshape local immunity. The tumor immune microenvironment (TIME) is ","cbCaiquq2n4qcHm1","https://ap.wps.com/l/cbCaiquq2n4qcHm1","pdf",5478630,24,"English","# Abstract\n# Introduction\n## Tumor immune microenvironment and T-cell roles\n## Chronic stimulation, exhaustion, and immune regulation","[{\"question\":\"What is the main objective of the study?\",\"answer\":\"To analyze T-cell proliferation regulatory genes across cancers and assess their connections to prognosis, genetic variations, and the tumor immune microenvironment as immunotherapeutic targets.\"},{\"question\":\"Which molecular and immune features are associated with these genes?\",\"answer\":\"Associations were evaluated with TMB, MSI, ESTIMATEScore, ImmuneScore, StromalScore, immune cell infiltration, and correlations with various T-cell subtypes.\"},{\"question\":\"How were the genes functionally and clinically characterized?\",\"answer\":\"The study used GSEA for immune pathway involvement, single-cell analysis for expression patterns, LASSO Cox modeling and prognosis analysis, and drug analysis targeting these genes.\"}]","Pan-cancer analysis of T-cell proliferation regulatory genes as potential immunotherapeutic targets | PDF",1789997726]