Prevalence, Immune Checkpoint Expression, and Spatial Interplay of Immune Cells Are Linked to Favorable Tumor Phenotype in 4915 Human Carcinomas

Although there is rising evidence that immune cell subpopulations that are in direct contact with the tumor cells (intraepithelial) can predict response to immune checkpoint therapy and patients' outcome, a comprehensive assessment of intraepithelial immune cells and their spatial interplay is lacking. To assess intraepithelial leukocyte densities, immune checkpoint expression, and spatial interactions in 43 carcinoma entities, 4915 tumor samples in a tissue microarray format were analyzed using a deep learning framework and BLEACH&STAIN multiplex fluorescence immunohistochemistry. This approach enabled single-cell resolution quantification of 21 biomarkers through 7 sequential staining and imaging rounds. Immune and tumor cells were classified into 54 subpopulations. The mean intraepithelial immune cell density of CD8<sup>+</sup> cytotoxic T cells, CD4<sup>+</sup> T-helper cells, FOXP3<sup>+</sup> regulatory T cells, CD20<sup>+</sup> B cells, M1/M2 macrophages, and CD11c<sup>+</sup> dendritic cells varied markedly between tumor entities and individual tumors. For instance, 88(±90) cells/mm<sup>2</sup> were found in tubular breast cancer, 661(±729) cells/mm<sup>2</sup> in colorectal cancer, and up to 2325(±2131) cells/mm<sup>2</sup> in squamous cell cancers from various origins. Unsupervised cluster analysis revealed a "cluster a" of 634 patients from almost all different tumor entities with an exceptionally high density of intraepithelial immune cells that was characterized by a unique interaction profile along with the highest immune checkpoint expression. Across all analyzed tumor entities, the intraepithelial highly inflamed cluster a was significantly linked to low pathologic tumor stage (P < .001). The data from this study provide a comprehensive characterization of intraepithelial immune cells across 43 different human carcinomas and identified an inflamed pan-cancer phenotype characterized by strong interactions of intraepithelial CD8<sup>+</sup> cytotoxic T cells, CD4<sup>+</sup> T cells, dendritic cells, and M2 macrophages, along with highest levels of TIM3, PD-1, and CTLA-4 expression that is linked to a favorable tumor phenotype.

Authors

Institutions

Publication Details

Journal
Laboratory Investigation
Published
2025-10-09
DOI
https://doi.org/10.1016/j.labinv.2025.104248
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence, Immune Checkpoint Expression, and Spatial Interplay of Immune Cells Are Linked to Favorable Tumor Phenotype in 4915 Human Carcinomas

Niclas C. Blessin, Eik Vettorazzi, Guido Sauter, Zhihao Huang et al.
Laboratory Investigation
Cancer Immunotherapy and Biomarkers
article

Prevalence, Immune Checkpoint Expression, and Spatial Interplay of Immune Cells Are Linked to Favorable Tumor Phenotype in 4915 Human Carcinomas

Niclas C. Blessin, Eik Vettorazzi, Guido Sauter, Zhihao Huang, Julia Ebner, Tim Mandelkow, Elena Bady, Jan H. Müller, Ronald Simon, Jonas B. Raedler
article en

Abstract

Although there is rising evidence that immune cell subpopulations that are in direct contact with the tumor cells (intraepithelial) can predict response to immune checkpoint therapy and patients' outcome, a comprehensive assessment of intraepithelial immune cells and their spatial interplay is lacking. To assess intraepithelial leukocyte densities, immune checkpoint expression, and spatial interactions in 43 carcinoma entities, 4915 tumor samples in a tissue microarray format were analyzed using a deep learning framework and BLEACH&STAIN multiplex fluorescence immunohistochemistry. This approach enabled single-cell resolution quantification of 21 biomarkers through 7 sequential staining and imaging rounds. Immune and tumor cells were classified into 54 subpopulations. The mean intraepithelial immune cell density of CD8<sup>+</sup> cytotoxic T cells, CD4<sup>+</sup> T-helper cells, FOXP3<sup>+</sup> regulatory T cells, CD20<sup>+</sup> B cells, M1/M2 macrophages, and CD11c<sup>+</sup> dendritic cells varied markedly between tumor entities and individual tumors. For instance, 88(±90) cells/mm<sup>2</sup> were found in tubular breast cancer, 661(±729) cells/mm<sup>2</sup> in colorectal cancer, and up to 2325(±2131) cells/mm<sup>2</sup> in squamous cell cancers from various origins. Unsupervised cluster analysis revealed a "cluster a" of 634 patients from almost all different tumor entities with an exceptionally high density of intraepithelial immune cells that was characterized by a unique interaction profile along with the highest immune checkpoint expression. Across all analyzed tumor entities, the intraepithelial highly inflamed cluster a was significantly linked to low pathologic tumor stage (P < .001). The data from this study provide a comprehensive characterization of intraepithelial immune cells across 43 different human carcinomas and identified an inflamed pan-cancer phenotype characterized by strong interactions of intraepithelial CD8<sup>+</sup> cytotoxic T cells, CD4<sup>+</sup> T cells, dendritic cells, and M2 macrophages, along with highest levels of TIM3, PD-1, and CTLA-4 expression that is linked to a favorable tumor phenotype.

Laboratory InvestigationVol. 105(12)
Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE)
Openalex Percentile: Top 61%
Cancer Immunotherapy and Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.