Tumor cell heterogeneity drives spatial organization of the intratumoral immune response

Intratumoral heterogeneity (ITH)-defined as genetic and cellular diversity within a tumor-is linked to failure of immunotherapy and an inferior anti-tumor immune response. We modeled heterogeneous tumors comprised of "hot" and "cold" tumor populations (giving rise to T cell-rich and T cell-poor tumors, respectively) and introduced fluorescent labels to enable precise spatial tracking. We found the cold tumor cell population exerted a "dominant cold" effect in mixed tumors. Strikingly, spatial analysis revealed that the tumor cells themselves created distinct local microenvironments within heterogeneous tumors: regions occupied by cold tumor cells showed pronounced immunosuppression, harboring increased CD206Hi macrophages and diminished local T cell function. This inferior T cell activity in cold regions persisted even after immunotherapy and mechanistically was mediated by CX3CL1 produced by the cold tumor cells. An immune cold tumor population within a heterogeneous tumor thus impairs tumor immunity on both a tumor-wide and a highly localized spatial scale.

Authors

Institutions

Publication Details

Journal
The Journal of Experimental Medicine
Published
2025-02-26
DOI
https://doi.org/10.1084/jem.20242282
Citations
13
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
13.59

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tumor cell heterogeneity drives spatial organization of the intratumoral immune response

Oscar A. Aguilar, Savannah Hughes, Cecilia Ledezma-Soto, Kelly Kersten et al.
13 citations
The Journal of Experimental Medicine
Cancer Immunotherapy and Biomarkers
13.59
article

Tumor cell heterogeneity drives spatial organization of the intratumoral immune response

Oscar A. Aguilar, Savannah Hughes, Cecilia Ledezma-Soto, Kelly Kersten, Melissa Quino Reeves, Matthew F. Krummel, Kenneth Ng, Kenneth H. Hu, Bushra Samad, Piyush Chaudhary, Lotus Lum, Daphne Superville, Lawrence H. Fong, Alexis J. Combes, Arun K. Chumber, Carmela Benson, Miho Tanaka, Zoe Adams
article en
13 citations

Abstract

Intratumoral heterogeneity (ITH)-defined as genetic and cellular diversity within a tumor-is linked to failure of immunotherapy and an inferior anti-tumor immune response. We modeled heterogeneous tumors comprised of "hot" and "cold" tumor populations (giving rise to T cell-rich and T cell-poor tumors, respectively) and introduced fluorescent labels to enable precise spatial tracking. We found the cold tumor cell population exerted a "dominant cold" effect in mixed tumors. Strikingly, spatial analysis revealed that the tumor cells themselves created distinct local microenvironments within heterogeneous tumors: regions occupied by cold tumor cells showed pronounced immunosuppression, harboring increased CD206Hi macrophages and diminished local T cell function. This inferior T cell activity in cold regions persisted even after immunotherapy and mechanistically was mediated by CX3CL1 produced by the cold tumor cells. An immune cold tumor population within a heterogeneous tumor thus impairs tumor immunity on both a tumor-wide and a highly localized spatial scale.

The Journal of Experimental MedicineVol. 222(6)
The University of Texas MD Anderson Cancer Center (US), University of California, San Francisco (US), Sanford Burnham Prebys Medical Discovery Institute (US), University of Utah (US), Discovery Institute (US), Huntsman Cancer Institute (US), Fred Hutch Cancer Center (US), Parker Institute for Cancer Immunotherapy (US)
American Cancer Society, V Foundation for Cancer Research, Cancer Prevention and Research Institute of Texas, University of Texas System, Cancer League of Colorado, Huntsman Cancer Institute, Parker Institute for Cancer Immunotherapy, National Institutes of Health, University of California, San Francisco, National Cancer Institute
No poverty
Openalex Percentile: Top 1%
Cancer Immunotherapy and Biomarkers
13.59
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.