基于机器学习的强大预后指数使用脂肪酸代谢基因预测了质母细胞瘤的预后和治疗反应

Erjie Zhao1, Zihan Wang1, Liya Tang2

  • 1Department of Nutrition and Food Hygiene, Key Laboratory of Public Health Safety and Emergency Prevention and Control Technology of Higher Education Institutions in Jiangsu Province, School of Public Health, Nanjing Medical University, Nanjing 210029, China.

Journal of Cancer
|October 6, 2025
PubMed
概括

这项研究引入了一种脂肪酸代谢特征 (FAMS),用于预测质母细胞瘤 (GBM) 患者的结果. FAMS有效地对患者进行了分层,有助于为这种侵略性脑瘤制定个性化治疗策略.