Machine learning identifies disulfidptosis-related gene signature for pancreatic cancer prognosis and immune infiltration

Abstract Background Pancreatic cancer (PC) is a leading cause of cancer-related mortality due to late diagnosis and limited treatments. Disulfidptosis, a novel form of regulated cell death, is implicated in disease pathogenesis. This study explores disulfidptosis-related gene (DRG) signatures to ide...

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Auteurs principaux:	Yue Pei, Meijia Cheng, Tong Yu, Wenjing Ma, Xiaohan Sun, Jingyan Zhang, Jiajia Li, Wenkai Li, Yutong Zhou, Hewen Hu, Yingchao Qi, Yunen Liu, Yichen Wang
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2026-01-01
Collection:	Discover Oncology
Sujets:	Pancreatic cancer Disulfidptosis Prognostic model Machine learning Immunotherapy
Accès en ligne:	https://doi.org/10.1007/s12672-026-04463-w
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