Genome-Derived Classification Signature for Ampullary Adenocarcinoma to Improve Clinical Cancer Care.

ABSTRACT:

Purpose

The clinical behavior of ampullary adenocarcinoma varies widely. Targeted tumor sequencing may better define biologically distinct subtypes to improve diagnosis and management.

Experimental design

The hidden-genome algorithm, a multilevel meta-feature regression model, was trained on a prospectively sequenced cohort of 3,411 patients (1,001 pancreatic adenocarcinoma, 165 distal bile-duct adenocarcinoma, 2,245 colorectal adenocarcinoma) and subsequently applied to targeted panel DNA-sequencing data from ampullary adenocarcinomas. Genomic classification (i.e., colorectal vs. pancreatic) was correlated with standard histologic classification [i.e., intestinal (INT) vs. pancreatobiliary (PB)] and clinical outcome.

Results

Colorectal genomic subtype prediction was

SUBMITTER: Chakraborty S 

PROVIDER: S-EPMC8563403 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature