Development and validation of cancer-associated fibroblasts-related gene landscape in prognosis and immune microenvironment of bladder cancer

作者全名："Zhang, Meng; Zhu, Junlong; Zhang, Pan; Li, Lingxun; Min, Min; Li, Tinghao; He, Weiyang"

作者地址："[Zhang, Meng; Zhu, Junlong; Li, Tinghao; He, Weiyang] Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China; [Zhang, Meng; Zhang, Pan; Li, Lingxun; Min, Min] Third Hosp Mianyang, Sichuan Mental Hlth Ctr, Dept Urol, Mianyang, Peoples R China"

通信作者："He, WY (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Urol, Chongqing, Peoples R China."

来源：FRONTIERS IN ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001018493900001

JCR分区：Q2

影响因子：3.5

年份：2023

卷号：13

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：cancer-associated fibroblasts (CAF); prognosis; immune microenvironment; bladder cancer; tumor microenvironment

摘要："BackgroundsBladder cancer (BLCA) is one of the most prevalent cancers of the genitourinary system, the clinical outcomes of patients with BLCA are bad, and the morbidity rate is high. One of the key components of the tumor microenvironment (TME) is cancer-associated fibroblasts (CAFs) which are critically involved in BLCA tumorigenesis. Previous studies have shown the involvement of CAFs in tumor growth, cancer progression, immune evasion, angiogenesis, and chemoresistance in several cancers such as breast, colon, pancreatic, ovarian, and prostate cancers. However, only a few studies have shown the role of CAFs in the occurrence and development of BLCA. MethodsWe have retrieved and merged the data on RNA-sequencing of patients with BLCA from databases including ""the Cancer Genome Atlas"" and ""Gene Expression Omnibus."" Next, we compared the differences in CAFs-related genes (CRGs) expression between normal and BLCA tissues. Based on CRGs expression, we randomly divided patients into two groups. Next, we determined the correlation between CAFs subtypes and differentially expressed CRGs (DECRGs) between the two subtypes. Furthermore, the ""Gene Ontology"" and ""Kyoto Encyclopedia of Genes and Genomes pathway"" enrichment analyses were conducted to determine the functional characteristics between the DECRGs and clinicopathology. ResultsWe identified five genes (POF1B, ARMCX1, ALDOC, C19orf33, and KRT13) using multivariate COX regression and ""Least Absolute Shrinkage and Selection Operator (LASSO) COX regression analysis"" for developing a prognostic model and calculating the CRGs-risk score. The TME, mutation, CSC index, and drug sensitivity were also analyzed. ConclusionWe constructed a novel five- CRGs prognostic model, which sheds light on the roles of CAFs in BLCA."

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