Elevated ICAM5 as a promising predictor of poor prognosis in bladder cancer via EMT, immune microenvironment, and therapy resistance
Abstract
Background Bladder cancer, the most common malignancy of the urinary system, is associated with poor prognosis due to its metastatic potential, invasive behavior, and immune evasion. Intercellular adhesion molecule 5 (ICAM5), a member of the immunoglobulin superfamily, regulates cell adhesion and has been implicated in tumor progression. However, its biological function in bladder cancer remains unclear. Methods In this study, we analyzed data from The Cancer Genome Atlas (TCGA) and UCSC Xena databases to investigate ICAM5 expression, prognostic significance, genetic mutations, methylation, immune profiles, and regulatory functions in bladder cancer. Weighted Gene Coexpression Network Analysis (WGCNA) and Gene Set Cancer Analysis (GSCA) were employed to explore ICAM5-related pathways. Results Our findings demonstrated that ICAM5 expression was significantly upregulated in bladder cancer and associated with advanced disease features, including higher TNM stages, pathological grades, and aggressive molecular subtypes. Furthermore, ICAM5 influenced the immune microenvironment, regulated methylation, and modulated immune checkpoint expression, contributing to immunotherapy resistance. Mechanistically, ICAM5 promoted epithelial-mesenchymal transition (EMT), proliferation, and metastasis. Conclusions ICAM5 serves as a novel prognostic biomarker and potential therapeutic target in bladder cancer, orchestrating EMT progression, reshaping the immune microenvironment, and driving resistance to immunotherapy.
Article Details
Authors (12)
Xiaolong Chen
Beijing National Laboratory for Condensed Matter Physics
Zhen Wang
Yangsheng Rong
Zhiqiang Zhu
State Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering
Zheng Peng
School of Physical Science and Technology; Center for Transformative Science
Kunyuan Huang
Guanyun Deng
Di Liu
Qing Wang
Jianguo Zhu
Kun Chen
Kehua Jiang