Faculty, Staff and Student Publications

Publication Date

8-1-2023

Journal

The Journal of Pathology

DOI

10.1002/path.6165

PMID

37608771

PMCID

PMC11288334

PubMedCentral® Posted Date

7-30-2024

PubMedCentral® Full Text Version

Author MSS

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

Published Open-Access

yes

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