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

Saptarshi ChakrabortyBrett L EckerKenneth P Seier Victoria G Aveson Vinod P BalachandranJeffrey A DrebinMichael I D'AngelicaT Peter KinghamCarlie S Sigel Kevin C SoaresEfsevia VakianiAlice C WeiRohit ChandwaniMithat GönenRonglai ShenWilliam R Jarnagin

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2021)

The genomic classifier provides insight into the heterogeneity of ampullary adenocarcinoma and improves stratification, which is dictated by the proportion of colorectal and pancreatic genomic alterations. This approach is reproducible with available molecular testing and obviates subjective histologic interpretation.

Keyphrases

squamous cell carcinoma
copy number
locally advanced
machine learning
deep learning
single cell
genome wide
rectal cancer
sleep quality
gene expression
dna methylation