Novel Machine Learning Approaches Revolutionize Pancreatic Malignancy Prognosis: Exploring Programed Cell Death.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) remains a highly aggressive malignancy with a poor prognosis and limited effective treatment options. Our study comprehensively explores the complex role of programed cell death (PCD) mechanisms in PDAC development, examining 18 distinct PCD pathways and their genetic underpinnings. Using an advanced machine learning framework incorporating 429 algorithmic variations, we have developed an innovative PCD-based molecular signature that demonstrates robust prognostic capabilities. This signature exhibits superior performance across diverse patient cohorts, significantly outperforming traditional clinicopathological indicators. Through integrated pathway analysis, we revealed that high-risk patients show distinct activation of oncogenic pathways and sign

SUBMITTER: Xu N 

PROVIDER: S-EPMC12595226 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature