A novel prognostic model based on three integrin subunit genes-related signature for bladder cancer

Author:

Tu Hongtao,Liu Haolin,Zhang Longfei,Tan Zhiyong,Wang Hai,Jiang Yongming,Xia Zhongyou,Guo Liwei,Xia Xiaodong,Gu Peng,Liu Xiaodong

Abstract

BackgroundPresently, a comprehensive analysis of integrin subunit genes (ITGs) in bladder cancer (BLCA) is absent. This study endeavored to thoroughly analyze the utility of ITGs in BLCA through computer algorithm-based bioinformatics.MethodsBLCA-related materials were sourced from reputable databases, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). R software-based bioinformatics analyses included limma-differential expression analysis, survival-Cox analysis, glmnet-Least absolute shrinkage and selection operator (LASSO), clusterProfiler-functional annotation, and gsva-estimate-immune landscape analysis. The expression difference of key genes was verified by quantitative real-time polymerase chain reaction (qRT-PCR).ResultsAmong the 11 ITGs that were abnormally expressed in BLCA, ITGA7, ITGA5, and ITGB6 were categorized as the optimal variables for structuring the risk model. The high-risk subcategories were typified by brief survival, abysmal prognosis, prominent immune and stromal markers, and depressed tumor purity. The risk model was also an isolated indicator of the impact of clinical outcomes in BLCA patients. Moreover, the risk model, specifically the high-risk subcategory with inferior prognosis, became heavily interlinked with the immune-inflammatory response and smooth muscle contraction and relaxation.ConclusionThis study determined three ITGs with prognostic values (ITGA7, ITGA5, and ITGB6), composed a novel (ITG-associated) prognostic gene signature, and preliminarily probed the latent molecular mechanisms of the model.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China-Yunnan Joint Fund

Publisher

Frontiers Media SA

Subject

Cancer Research,Oncology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the role of ITGB6: fibrosis, cancer, and other diseases;Apoptosis;2023-12-21

2. Dynamic profiling of medulloblastoma surfaceome;Acta Neuropathologica Communications;2023-07-10

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