Identification of bladder cancer subtypes and predictive signature for prognosis, immune features, and immunotherapy based on immune checkpoint genes

• Published in: Scientific reports Vol. 14; no. 1; pp. 14431 - 19
• Main Authors: Wu, Jiyue, Zhang, Feilong, Zheng, Xiang, Chen, Dongshan, Li, Zhen, Bi, Qing, Qiu, Xuemeng, Sun, Zejia, Wang, Wei
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.06.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 631/67; 631/67/589; 631/67/589/1336; Algorithms; Biomarkers, Tumor - genetics; Bladder cancer; Chemotherapy; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Humanities and Social Sciences; Humans; Immune checkpoint; Immune Checkpoint Proteins - genetics; Immune Checkpoint Proteins - metabolism; Immune checkpoints; Immunotherapy; Immunotherapy - methods; Individualized treatment; Male; multidisciplinary; Nomograms; Patients; Prognosis; Science; Science (multidisciplinary); Urinary Bladder Neoplasms - drug therapy; Urinary Bladder Neoplasms - genetics; Urinary Bladder Neoplasms - immunology; Urinary Bladder Neoplasms - therapy; Prognosis; Immune checkpoints; Bladder cancer; Immunotherapy; Individualized treatment

Immunotherapy based on immune checkpoint genes (ICGs) has recently made significant progress in the treatment of bladder cancer patients, but many patients still cannot benefit from it. In the present study, we aimed to perform a comprehensive analysis of ICGs in bladder cancer tissues with the aim...