Refining colorectal cancer classification and clinical stratification through a single-cell atlas.

Ateeq M KhaliqCihat ErdoganZeyneb KurtSultan Sevgi TurgutMiles W GrunvaldTim RandSonal KhareJeffrey A BorgiaDana M HaydenSam G PappasHenry R GovekarAudrey E KamJochen ReiserKiran TuragaMilan RadovichYong ZangYingjie QiuYunlong LiuMelissa L FishelAnita TurkVineet GuptaRam Al-SabtiJanakiraman SubramanianTimothy M KuzelAnguraj SadanandamLevi WaldronArif HussainMohammad SaleemBassel El-RayesAmeen A SalahudeenAshiq Masood

Published in: Genome biology (2022)

Distinct CAFs and C1Q+ TAMs are sufficient to explain CMS predictive ability and a simpler signature based on these cellular phenotypes could stratify CRC patient prognosis with greater precision. Therapeutically targeting specific CAF subtypes and C1Q + TAMs may promote immunotherapy responses in CRC patients.

Keyphrases

single cell
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
rna seq
machine learning
deep learning
prognostic factors
patient reported outcomes