Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer

Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer

Abstract Background Bladder cancer (BLCA) is a highly heterogeneous disease that presents challenges in predicting prognosis and treatment response. Cancer stem cells are key drivers of tumor development, progression, metastasis, and treatment resistance. The features and prognostic significance of...

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Bibliographic Details
Main Authors: Heping Qiu, Xiaolin Deng, Jing Zha, Lihua Wu, Haonan Liu, Yichen Lu, Xinji Zhang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Bladder cancer
Stemness
Prognosis
Treatment response
TNFAIP6
Online Access:https://doi.org/10.1186/s12885-025-14109-9
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https://doi.org/10.1186/s12885-025-14109-9

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