Machine learning-based construction of a programmed cell death-related model reveals prognosis and immune infiltration in pancreatic adenocarcinoma patients

Abstract Pancreatic adenocarcinoma (PAAD) is a highly lethal malignancy with limited effective prognostic biomarkers. In this study, 1,034 samples from TCGA-PAAD, GSE62452, GSE28735, GSE183795, and ICGC cohorts were systematically integrated to identify key programmed cell death-related genes (PCDRG...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Bing Wang, Zhida Long, Xun Zou, Zhengang Sun, Yuanchu Xiao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-07-01
Sarja:	Scientific Reports
Aiheet:	Pancreatic adenocarcinoma Programmed cell death Machine learning Prognosis Immune infiltration
Linkit:	https://doi.org/10.1038/s41598-025-10847-9
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