Abstract A097: Analyzing immunotherapy resistance in microsatellite instable colorectal FFPE samples using RNA sequencing

Abstract INTRODUCTION: Immunotherapy outcomes have been underwhelming in most gastrointestinal malignancies. Microsatellite instable (MSI-H) colorectal cancers (CRC) are an exception. Immune checkpoint blockade (ICB) is standard of care for MSI-H CRC. However, a portion of MSI-H CRCs do not respond well to ICB, insufficiently explained by tumor mutational burden or clinical factors. We sought to understand transcriptional pathways of ICB resistance in MSI-H CRC through whole transcriptome analysis of archival formalin-fixed, paraffin-embedded (FFPE) samples. METHODS: Cases of MSI-H CRC were identified from the Duke Pathology lab and Molecular Registry of Tumors from 2017 to 2022. 12 durable responders (MSI-H-R) and 9 non-responders (MSI-H-N) were selected for analysis. 15 locally advanced MSI-H CRC (MSI-H-loc) samples, with a near 100% response rate to ICB in other settings, and 10 locally advanced MSS CRC samples were used as controls. 46 total samples (12 MSI-H-R, 9 MSI-H-N, 15 MSI-H-loc, and 10 MSS) were selected for FFPE-based whole transcriptome analysis using MACE-Seq (GenXPro), a 3’mRNA-sequencing approach. RESULTS: 44 samples (96%) were suitable for analysis with an average of 18,378 genes counted. The tumor suppressor GPRC5A was upregulated in the MSI-H-R group compared to MSI-H-N. MSI-H-N samples exhibited higher expression rates of genes coding for the extracellular matrix and mesenchymal stem cells (KLF2, Desmin, MUC1), hypoxia-induced genes including those related to metabolic processes (LDHD, PDK4) and the beta-globin subunit of hemoglobin (HBB), and terminal T cell exhaustion (TOX). Hypoxic states and LDHD have been shown to correlate inversely with immune cell infiltration and ICB response. HBB overexpression has been shown to suppress reactive oxygen species-mediated apoptosis. Gene set enrichment analysis using Gene Ontogeny (GO) Pathways demonstrated upregulation in neutrophil pathways and developmental signaling, such as bone morphogenesis (BMP), in the MSI-H-N group. We did not observe differences in T-cell markers between MSI-H groups, raising the possibility that non-T-cell mediated mechanisms may dictate response to ICB. MSI-H-R expression profiles resembled the MSI-H-loc group, apart from differences in PLA2G2A, ASS1, AGR2, and SPINK1, which may be markers of metastasis propensity. Gene expression profiling revealed substantive differences between MSI-H-N and MSS groups, indicating their resistance mechanisms to ICB may differ and supporting their fundamental differences. CONCLUSION: Given the rarity of MSI-H CRC and limited available data to predict response to ICB, additional studies are imperative to improve understanding of the therapeutic landscape for MSI-H CRC. MACE-seq is feasible on FFPE specimens and well suited for transcriptional comparisons between populations. Our study revealed a cohort of hypoxia-related genes to correlate with non-response to ICB in metastatic MSI-H CRC. Additional data collection is ongoing, and future studies will expand tumor types and implement mouse models to test genes of interest. Citation Format: Cameron Oswalt, Ashley Moyer, Y-Van Nguyen, Brent Hanks, John Strickler, David Hsu, William Jeck, Nicholas DeVito. Analyzing immunotherapy resistance in microsatellite instable colorectal FFPE samples using RNA sequencing [abstract]. In: Proceedings of the AACR IO Conference: Discovery and Innovation in Cancer Immunology: Revolutionizing Treatment through Immunotherapy; 2025 Feb 23-26; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(2 Suppl):Abstract nr A097.

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Journal
Cancer Immunology Research
Published
2025-02-23
DOI
https://doi.org/10.1158/2326-6074.io2025-a097
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1
Primary Topic
Cancer Immunotherapy and Biomarkers
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article
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1.05
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article

Abstract A097: Analyzing immunotherapy resistance in microsatellite instable colorectal FFPE samples using RNA sequencing

Brent Allen Hanks, John H. Strickler, Y‐Van Nguyen, Ashley Moyer et al.
1 citations
Cancer Immunology Research
Cancer Immunotherapy and Biomarkers
1.05
article

Abstract A097: Analyzing immunotherapy resistance in microsatellite instable colorectal FFPE samples using RNA sequencing

Brent Allen Hanks, John H. Strickler, Y‐Van Nguyen, Ashley Moyer, David S. Hsu, Nicholas C. DeVito, Cameron Oswalt, William R. Jeck
article en
1 citations

Abstract

Abstract INTRODUCTION: Immunotherapy outcomes have been underwhelming in most gastrointestinal malignancies. Microsatellite instable (MSI-H) colorectal cancers (CRC) are an exception. Immune checkpoint blockade (ICB) is standard of care for MSI-H CRC. However, a portion of MSI-H CRCs do not respond well to ICB, insufficiently explained by tumor mutational burden or clinical factors. We sought to understand transcriptional pathways of ICB resistance in MSI-H CRC through whole transcriptome analysis of archival formalin-fixed, paraffin-embedded (FFPE) samples. METHODS: Cases of MSI-H CRC were identified from the Duke Pathology lab and Molecular Registry of Tumors from 2017 to 2022. 12 durable responders (MSI-H-R) and 9 non-responders (MSI-H-N) were selected for analysis. 15 locally advanced MSI-H CRC (MSI-H-loc) samples, with a near 100% response rate to ICB in other settings, and 10 locally advanced MSS CRC samples were used as controls. 46 total samples (12 MSI-H-R, 9 MSI-H-N, 15 MSI-H-loc, and 10 MSS) were selected for FFPE-based whole transcriptome analysis using MACE-Seq (GenXPro), a 3’mRNA-sequencing approach. RESULTS: 44 samples (96%) were suitable for analysis with an average of 18,378 genes counted. The tumor suppressor GPRC5A was upregulated in the MSI-H-R group compared to MSI-H-N. MSI-H-N samples exhibited higher expression rates of genes coding for the extracellular matrix and mesenchymal stem cells (KLF2, Desmin, MUC1), hypoxia-induced genes including those related to metabolic processes (LDHD, PDK4) and the beta-globin subunit of hemoglobin (HBB), and terminal T cell exhaustion (TOX). Hypoxic states and LDHD have been shown to correlate inversely with immune cell infiltration and ICB response. HBB overexpression has been shown to suppress reactive oxygen species-mediated apoptosis. Gene set enrichment analysis using Gene Ontogeny (GO) Pathways demonstrated upregulation in neutrophil pathways and developmental signaling, such as bone morphogenesis (BMP), in the MSI-H-N group. We did not observe differences in T-cell markers between MSI-H groups, raising the possibility that non-T-cell mediated mechanisms may dictate response to ICB. MSI-H-R expression profiles resembled the MSI-H-loc group, apart from differences in PLA2G2A, ASS1, AGR2, and SPINK1, which may be markers of metastasis propensity. Gene expression profiling revealed substantive differences between MSI-H-N and MSS groups, indicating their resistance mechanisms to ICB may differ and supporting their fundamental differences. CONCLUSION: Given the rarity of MSI-H CRC and limited available data to predict response to ICB, additional studies are imperative to improve understanding of the therapeutic landscape for MSI-H CRC. MACE-seq is feasible on FFPE specimens and well suited for transcriptional comparisons between populations. Our study revealed a cohort of hypoxia-related genes to correlate with non-response to ICB in metastatic MSI-H CRC. Additional data collection is ongoing, and future studies will expand tumor types and implement mouse models to test genes of interest. Citation Format: Cameron Oswalt, Ashley Moyer, Y-Van Nguyen, Brent Hanks, John Strickler, David Hsu, William Jeck, Nicholas DeVito. Analyzing immunotherapy resistance in microsatellite instable colorectal FFPE samples using RNA sequencing [abstract]. In: Proceedings of the AACR IO Conference: Discovery and Innovation in Cancer Immunology: Revolutionizing Treatment through Immunotherapy; 2025 Feb 23-26; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(2 Suppl):Abstract nr A097.

Cancer Immunology ResearchVol. 13(2_Supplement)
Duke University (US)
Openalex Percentile: Top 25%
Cancer Immunotherapy and Biomarkers
1.05
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