Abstract 4947: Spatially organized transcriptional programs and tumor-stroma interfaces shape immunotherapy response in microsatellite instability-high gastrointestinal cancers

Abstract Background: Immune checkpoint blockade (ICB) has significantly improved outcomes in microsatellite instability-high (MSI-H) gastrointestinal cancers, yet more than half of patients do not achieve durable remission despite initial tumor regression. Clinical decisions guided solely by MSI status and radiographic response provide limited ability to anticipate long-term benefit or inform choices regarding surgery and treatment modification. The development of spatially informed molecular predictors of sustained response would therefore address a critical unmet need in the management of MSI-H tumors. Methods: Spatial transcriptomic profiling was performed on 18 tumor specimens from 13 patients with gastric, colorectal, or esophageal cancers, including 11 MSI-H and 2 MSS tumors, collected before and after ICB therapy. All tissues were assayed using the 10x Genomics Visium platform. Pathology-guided spot annotation was combined with transcriptional Meta-program analysis, spatial deconvolution, niche interaction mapping, and ligand-receptor modeling to characterize tumor-immune-stromal organization across sustained complete responders (CR) and non-sustained responders (NR). Results: We found that tumor cell meta-programs (MPs) exhibited distinct spatial gradients across different response groups. The epithelial-mesenchymal transition MPs was enriched at the invasive margin of pre-treatment NR (pre-NR) tumor tissue and diminished toward the core, while the Cycling-high-Interferon MPs peaked at the periphery of pre-CR tumor tissue. These findings indicate that transcriptional programs are spatially compartmentalized within the tumor. Next, we investigated how the spatial organization of the tumor microenvironment (TME) differed between response groups. In pre-CR tumors, malignant cells colocalized with B cells and T follicular helper cells within tertiary lymphoid structures (TLSs), whereas in pre-NR tumors, they were associated with macrophages and cancer-associated fibroblasts. Notably, TLSs from CR tumors exhibited stronger immune activation signatures irrespective of their maturation state. Cell-cell communication analysis further revealed immune activation at the tumor-stroma interface in sustained-CR tumors, contrasting with immunosuppressive signaling in NR tumors. Conclusions: Our study reveals distinct spatial and transcriptional programs underlying differential responses to ICB in MSI-H gastrointestinal cancers, highlighting the pivotal role of tumor-immune-stromal organization in shaping therapeutic outcomes and guiding future strategies to enhance immunotherapy efficacy. Citation Format: Xueshuai Han, Kohei Yamashita, Melissa Pool Pizzi, Kyung Serk Cho, Enyu Dai, Kai Yu, Yunhe Liu, Yibo Dai, Tian Chu, Matheus Sewastjanow-Silva, Hiro Yoshimura, Yibo Fan, Rebecca Waters, Qiong Gan, Feng Yin, Shilpa S. Dhar, Isadora Martins, Jason Willis, Mariela B. Murphy, Jenny Li, Brian D. Badgwell, Van K. Morris, Michael J. Overman, Linghua Wang, Jaffer A. Ajani. Spatially organized transcriptional programs and tumor-stroma interfaces shape immunotherapy response in microsatellite instability-high gastrointestinal cancers [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 4947.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4947
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4947: Spatially organized transcriptional programs and tumor-stroma interfaces shape immunotherapy response in microsatellite instability-high gastrointestinal cancers

Kyung Serk Cho, Mariela Blum Murphy, Kohei Yamashita, Melissa Pool Pizzi et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 4947: Spatially organized transcriptional programs and tumor-stroma interfaces shape immunotherapy response in microsatellite instability-high gastrointestinal cancers

Kyung Serk Cho, Mariela Blum Murphy, Kohei Yamashita, Melissa Pool Pizzi, Qiong Gan, Jason A. Willis, Brian Badgwell, Yibo Fan, I Martins, Feng Yin, Matheus Sewastjanow-Silva, Linghua Wang, Hiro Yoshimura, Jaffer A. Ajani, Yibo Dai, Van K. Morris, Kai Yu, Michael J. Overman, Enyu Dai, Jenny Li, Yunhe Liu, Rebecca Waters, Shilpa S. Dhar
article en

Abstract

Abstract Background: Immune checkpoint blockade (ICB) has significantly improved outcomes in microsatellite instability-high (MSI-H) gastrointestinal cancers, yet more than half of patients do not achieve durable remission despite initial tumor regression. Clinical decisions guided solely by MSI status and radiographic response provide limited ability to anticipate long-term benefit or inform choices regarding surgery and treatment modification. The development of spatially informed molecular predictors of sustained response would therefore address a critical unmet need in the management of MSI-H tumors. Methods: Spatial transcriptomic profiling was performed on 18 tumor specimens from 13 patients with gastric, colorectal, or esophageal cancers, including 11 MSI-H and 2 MSS tumors, collected before and after ICB therapy. All tissues were assayed using the 10x Genomics Visium platform. Pathology-guided spot annotation was combined with transcriptional Meta-program analysis, spatial deconvolution, niche interaction mapping, and ligand-receptor modeling to characterize tumor-immune-stromal organization across sustained complete responders (CR) and non-sustained responders (NR). Results: We found that tumor cell meta-programs (MPs) exhibited distinct spatial gradients across different response groups. The epithelial-mesenchymal transition MPs was enriched at the invasive margin of pre-treatment NR (pre-NR) tumor tissue and diminished toward the core, while the Cycling-high-Interferon MPs peaked at the periphery of pre-CR tumor tissue. These findings indicate that transcriptional programs are spatially compartmentalized within the tumor. Next, we investigated how the spatial organization of the tumor microenvironment (TME) differed between response groups. In pre-CR tumors, malignant cells colocalized with B cells and T follicular helper cells within tertiary lymphoid structures (TLSs), whereas in pre-NR tumors, they were associated with macrophages and cancer-associated fibroblasts. Notably, TLSs from CR tumors exhibited stronger immune activation signatures irrespective of their maturation state. Cell-cell communication analysis further revealed immune activation at the tumor-stroma interface in sustained-CR tumors, contrasting with immunosuppressive signaling in NR tumors. Conclusions: Our study reveals distinct spatial and transcriptional programs underlying differential responses to ICB in MSI-H gastrointestinal cancers, highlighting the pivotal role of tumor-immune-stromal organization in shaping therapeutic outcomes and guiding future strategies to enhance immunotherapy efficacy. Citation Format: Xueshuai Han, Kohei Yamashita, Melissa Pool Pizzi, Kyung Serk Cho, Enyu Dai, Kai Yu, Yunhe Liu, Yibo Dai, Tian Chu, Matheus Sewastjanow-Silva, Hiro Yoshimura, Yibo Fan, Rebecca Waters, Qiong Gan, Feng Yin, Shilpa S. Dhar, Isadora Martins, Jason Willis, Mariela B. Murphy, Jenny Li, Brian D. Badgwell, Van K. Morris, Michael J. Overman, Linghua Wang, Jaffer A. Ajani. Spatially organized transcriptional programs and tumor-stroma interfaces shape immunotherapy response in microsatellite instability-high gastrointestinal cancers [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 4947.

Cancer ResearchVol. 86(7_Supplement)
The University of Texas MD Anderson Cancer Center (US)
Openalex Percentile: Top 28%
Single-cell and spatial transcriptomics
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.