Faculty, Staff and Student Publications
Publication Date
8-1-2023
Journal
The Journal of Pathology
Abstract
Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.
Keywords
Humans, Colonic Neoplasms, Biomarkers, Benchmarking, Lymphocytes, Tumor-Infiltrating, Spatial Analysis, Tumor Microenvironment, Immunoscore, TIL, multispectral immunofluorescence, sTIL score, spatial heterogeneity, spatial statistics, tumor infiltrating lymphocytes
DOI
10.1002/path.6165
PMID
37608771
PMCID
PMC11288334
PubMedCentral® Posted Date
7-30-2024
PubMedCentral® Full Text Version
Author MSS
Published Open-Access
yes
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons