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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書目詳細資料
發表在:Future Science OA
Main Authors: Yuxia Zhang, Bing Liu, Yuelian Zhou
格式: Article
語言:英语
出版: Taylor & Francis Group 2024-12-01
主題:
在線閱讀:https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136