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Dataset Information

Development of a consensus molecular classifier for pancreatic ductal adenocarcinoma.


ABSTRACT:

Background

Pancreatic ductal adenocarcinoma (PDAC) presents a significant challenge, with a 5-year survival rate of approximately 10%. Tumor heterogeneity contributes to the limited effectiveness of treatments. Several tumor and stroma molecular classifiers have attempted to clarify this heterogeneity with moderate agreement. Recognizing the complexity introduced by this extensive array of taxonomies, this study aims to develop a consensus molecular classifier by including both tumor and stroma features.

Methods

We analyzed mRNA expression data from 514 PDAC samples, applying batch correction, filtering out low-expression genes, and using variance-stabilizing transformation. Tumor and stroma profiles were classified with previously published systems, while stroma compartment

SUBMITTER: Villoslada-Blanco P 

PROVIDER: S-EPMC12619402 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature