Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma.

ABSTRACT:

Purpose

We aim to improve the prediction of response or resistance to immunotherapies in patients with melanoma. This goal is based on the hypothesis that current gene signatures predicting immunotherapy outcomes show only modest accuracy due to the lack of spatial information about cellular functions and molecular processes within tumors and their microenvironment.

Experimental design

We collected gene expression data spatially from three cellular compartments defined by CD68+ macrophages, CD45+ leukocytes, and S100B+ tumor cells in 55 immunotherapy-treated melanoma specimens using Digital Spatial Profiling-Whole Transcriptome Atlas. We developed a computational pipeline to discover compartment-specific gene signatures and determine if adding spatial information can improve

SUBMITTER: Aung TN 

PROVIDER: S-EPMC11326985 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature