Abstract 4948: Spatial architectures of colorectal cancer microenvironment underlying immune checkpoint inhibitor response

Abstract Colorectal cancer (CRC) remains a leading cause of cancer mortality. Immune checkpoint inhibitors (ICI) are among the most effective systemic therapies, yet they benefit only a subset of MSI-H/MMRd patients. To investigate how spatial tumor-immune-stromal organization contributes to heterogeneous treatment responses, we profiled FFPE CRC tissues from PD-1 inhibitor pembrolizumab-treated (n=10) and treatment-naïve (n=14) patients using the CosMx Spatial Molecular Imager (SMI) with a 1,000-gene single-cell panel. After image processing and cell segmentation, cell states were annotated through unsupervised Leiden clustering, gene-module scoring, and supervised InsituType prediction using a public CRC single-cell atlas, followed by spatial analyses including niche identification, neighborhood enrichment, distance-based metrics, and ligand-receptor inference. Across 24 patients (balanced sex distribution; stages I-IV; median age 66.5), ICI-treated tumors exhibited markedly higher frequencies of all CD8+ T cell subsets, CXCL8+ cancer-associated fibroblasts (CAFs), myofibroblasts, and diverse macrophage and neutrophil populations compared with treatment-naïve tumors, alongside higher proportions of CMS1-like malignant cells. De novo nonnegative matrix factorization (NMF) revealed eight tumor-intrinsic programs, with Inflammatory/MHC-II, Type I IFN/Antigen Presentation, and Innate Inflammatory programs enriched in ICI-exposed tumors, whereas Invasion/Angiogenesis, Proliferation/Stress, and CEA-high programs characterized untreated tumors. Spatial mapping uncovered two recurrent architectures: immune-infiltrated tumors enriched for tertiary lymphoid structures (TLSs) marked by T-B lymphocyte aggregates and focal LTB and CXCL13 expression, as well as fibroblast-dominated tumors demonstrating stromal encapsulation, limited immune intermixing, and preliminary enrichment of CAF-immune suppressive ligand-receptor circuits. Together, these findings delineate inflamed versus fibrotic CRC microenvironments with distinct tumor-immune communication states. Integration of spatial features with clinical response will support refined stratification for ICI-based therapy and nominate TLS density, CAF patterning, and specific ligand-receptor modules as candidate spatial biomarkers for predicting or modulating treatment responsiveness. Citation Format: Chuyan Liu, Hang Yin, Joon Sang Lee, Julien Tessier, Junbum Kim, Donald Jackson, Angela Hadjipanayis, Olivier Elemento. Spatial architectures of colorectal cancer microenvironment underlying immune checkpoint inhibitor response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4948.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4948
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 4948: Spatial architectures of colorectal cancer microenvironment underlying immune checkpoint inhibitor response

Joon Sang Lee, Olivier Elemento, Julien Sr Tessier, Junbum Kim et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 4948: Spatial architectures of colorectal cancer microenvironment underlying immune checkpoint inhibitor response

Joon Sang Lee, Olivier Elemento, Julien Sr Tessier, Junbum Kim, Angela Hadjipanayis, Chuyan Liu, Donald C. Jackson, Hang Yin
article en

Abstract

Abstract Colorectal cancer (CRC) remains a leading cause of cancer mortality. Immune checkpoint inhibitors (ICI) are among the most effective systemic therapies, yet they benefit only a subset of MSI-H/MMRd patients. To investigate how spatial tumor-immune-stromal organization contributes to heterogeneous treatment responses, we profiled FFPE CRC tissues from PD-1 inhibitor pembrolizumab-treated (n=10) and treatment-naïve (n=14) patients using the CosMx Spatial Molecular Imager (SMI) with a 1,000-gene single-cell panel. After image processing and cell segmentation, cell states were annotated through unsupervised Leiden clustering, gene-module scoring, and supervised InsituType prediction using a public CRC single-cell atlas, followed by spatial analyses including niche identification, neighborhood enrichment, distance-based metrics, and ligand-receptor inference. Across 24 patients (balanced sex distribution; stages I-IV; median age 66.5), ICI-treated tumors exhibited markedly higher frequencies of all CD8+ T cell subsets, CXCL8+ cancer-associated fibroblasts (CAFs), myofibroblasts, and diverse macrophage and neutrophil populations compared with treatment-naïve tumors, alongside higher proportions of CMS1-like malignant cells. De novo nonnegative matrix factorization (NMF) revealed eight tumor-intrinsic programs, with Inflammatory/MHC-II, Type I IFN/Antigen Presentation, and Innate Inflammatory programs enriched in ICI-exposed tumors, whereas Invasion/Angiogenesis, Proliferation/Stress, and CEA-high programs characterized untreated tumors. Spatial mapping uncovered two recurrent architectures: immune-infiltrated tumors enriched for tertiary lymphoid structures (TLSs) marked by T-B lymphocyte aggregates and focal LTB and CXCL13 expression, as well as fibroblast-dominated tumors demonstrating stromal encapsulation, limited immune intermixing, and preliminary enrichment of CAF-immune suppressive ligand-receptor circuits. Together, these findings delineate inflamed versus fibrotic CRC microenvironments with distinct tumor-immune communication states. Integration of spatial features with clinical response will support refined stratification for ICI-based therapy and nominate TLS density, CAF patterning, and specific ligand-receptor modules as candidate spatial biomarkers for predicting or modulating treatment responsiveness. Citation Format: Chuyan Liu, Hang Yin, Joon Sang Lee, Julien Tessier, Junbum Kim, Donald Jackson, Angela Hadjipanayis, Olivier Elemento. Spatial architectures of colorectal cancer microenvironment underlying immune checkpoint inhibitor response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4948.

Cancer ResearchVol. 86(7_Supplement)
Cornell University (US), Weill Cornell Medicine (US)
Good health and well-being
Openalex Percentile: Top 8%
Single-cell and spatial transcriptomics
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