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A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients

Aim: The aim of this study was to investigate the prognostic relevance of disulfidptosis-related genes in glioblastoma using bioinformatic analysis in The Cancer Genome Atlas Program-Glioblastoma (TCGA-GBM) database and develop a gene signature model for predicting patient prognosis. Methods: We con...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Yuxia Zhang, Bing Liu, Yuelian Zhou
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Taylor & Francis Group 2024-12-01
Saila:Future Science OA
Gaiak:
Sarrera elektronikoa:https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136
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