Development and validation of a robust cuproptosis related signature for primary glioma via machine learning aided by loop training and validation

Abstract Background Glioma is the most common malignant tumors in central nervous system with high mortality. Accurately predicting prognosis for patients with glioma still remains a challenge. Accumulated studies have found that cuproptosis-related genes emerged as potential biomarkers for cancer p...

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Egile Nagusiak:	Yi Zheng, Pancheng Wu, Si Yang, Qianrong Wang, Zhan Wang, Hong-Mei Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Springer 2026-02-01
Saila:	Discover Oncology
Gaiak:	Primary glioma Cuproptosis Machine learning Prognosis Tumor microenvironment
Sarrera elektronikoa:	https://doi.org/10.1007/s12672-026-04458-7
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