Transcriptomic Signatures of MSI-high Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors.

Claire Gallois Matteo Landi Gilles Manceau Marine Sroussi Bahar Saberzadeh-Ardestani Antoine Cazelles Sara Lonardi Francesca Bergamo Rossana Intini Giulia Maddalena Filippo Pietrantonio Francesca Corti Margherita Ambrosini Antonia Martinetti Marco Maria Germani Chiara Boccaccio Guglielmo Vetere Sophie Mouillet-Richard Aurélien de Reyniès Frank A Sinicrope Chiara Cremolini Pierre Laurent-Puig

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2023)

This unsupervised transcriptomic classification identified three groups of MSI mCRCs with different compositions of TME cells and proliferative capacities of TME/tumor cells. The "stromalHIGH-proliferationLOW" cluster is associated with a poorer prognosis with ICI treatment.

Keyphrases

metastatic colorectal cancer
machine learning
induced apoptosis
single cell
rna seq
cell cycle arrest
deep learning
genome wide
gene expression
endoplasmic reticulum stress
dna methylation
cell death
cell proliferation