Spatial features of specific CD103⁺CD8⁺ tissue-resident memory T cell subsets define the prognosis in patients with non-small cell lung cancer.

ABSTRACT:

Background

Tissue-resident memory T (T_RM) cells can reside in the tumor microenvironment and are considered the primary response cells to immunotherapy. Heterogeneity in functional status and spatial distribution may contribute to the controversial role of T_RM cells but we know little about it.

Methods

Through multiplex immunofluorescence (mIF) (CD8, CD103, PD-1, Tim-3, GZMB, CK), the quantity and spatial location of T_RM cell subsets were recognized in the tissue from 274 patients with NSCLC after radical surgery. By integrating multiple machine learning methods, we constructed a T_RM-based spatial immune signature (T_RM-SIS) to predict the prognosis. Furthermore, we conducted a CD103-related gene set enrichment analysis (

SUBMITTER: Yang G 

PROVIDER: S-EPMC10770937 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature