Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer.

ABSTRACT:

Background

We proposed an artificial intelligence-based immune index, Deep-immune score, quantifying the infiltration of immune cells interacting with the tumor stroma in hematoxylin and eosin-stained whole-slide images of colorectal cancer.

Methods

A total of 1010 colorectal cancer patients from three centers were enrolled in this retrospective study, divided into a primary (N = 544) and a validation cohort (N = 466). We proposed the Deep-immune score, which reflected both tumor stroma proportion and the infiltration of immune cells in the stroma region. We further analyzed the correlation between the score and CD3⁺ T cells density in the stroma region using immunohistochemistry-stained whole-slide images. Survival analysis was performed using the Cox proportiona

SUBMITTER: Yang J 

PROVIDER: S-EPMC9533523 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature