Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology

Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology

Abstract Cuproptosis and disulfidptosis, recently discovered mechanisms of cell death, have demonstrated that differential expression of key genes and long non-coding RNAs (lncRNAs) profoundly influences tumor development and affects their drug sensitivity. Clear cell renal cell carcinoma (ccRCC), t...

Full description

Bibliographic Details
Main Authors: Ronghui Chen, Jun Wu, Yinwei Che, Yuzhuo Jiao, Huashan Sun, Yinuo Zhao, Pingping Chen, Lingxin Meng, Tao Zhao
Format: Article
Language:English
Published: BMC 2024-03-01
Series:European Journal of Medical Research
Subjects:
Clear cell renal cell carcinoma
Prognostic risk model
Machine learning algorithm
Cuproptosis
Disulfidptosis
Long non-coding RNA
Online Access:https://doi.org/10.1186/s40001-024-01763-1

Internet

https://doi.org/10.1186/s40001-024-01763-1

Similar Items