Unknown

Dataset Information

Immune infiltrate populations within distinct tumor immune microenvironments predictive of immune checkpoint treatment outcome.


ABSTRACT: Understanding the dynamic tumor immune microenvironment (TIME) is important in guiding immunotherapy. We have previously validated signatures predictive of checkpoint inhibitor efficacy which distinguish immunomodulatory, mesenchymal stem-like, and mesenchymal phenotypes. Here we use twenty tumor types (7162 samples) to identify potentially conserved immune biology within these TIME spaces, genes co-expressed across distinct cell types involved these immune processes, and the association of these signatures with ICI response. One signature, which contained multiple B-cell markers, was associated with immunotherapy efficacy in three cohorts, including IMvigor210. This signature of potentially conserved B-cell biology in co-infiltrated immune cell ecosystems had a more consistent association

SUBMITTER: Ring BZ 

PROVIDER: S-EPMC11760962 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature