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Inhibition of histone methyltransferase EZH2 for immune interception of colorectal cancer in Lynch syndrome
Charles M. Bowen, Fahriye Duzagac, Abel Martel-Martel, Laura Reyes-Uribe, Mahira Zaheer, Jacklyn Thompson, Nan Deng, Ria Sinha, Soham Mazumdar, Melissa W. Taggart, Abhinav K. Jain, Elena Tosti, Winfried Edelmann, Krishna M. Sinha, Eduardo Vilar
Charles M. Bowen, Fahriye Duzagac, Abel Martel-Martel, Laura Reyes-Uribe, Mahira Zaheer, Jacklyn Thompson, Nan Deng, Ria Sinha, Soham Mazumdar, Melissa W. Taggart, Abhinav K. Jain, Elena Tosti, Winfried Edelmann, Krishna M. Sinha, Eduardo Vilar
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Research Article Immunology Oncology

Inhibition of histone methyltransferase EZH2 for immune interception of colorectal cancer in Lynch syndrome

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Abstract

Colorectal precancers in Lynch syndrome (LS) exhibit a distinct immune profile, presenting unique opportunities for developing immune-interception strategies to prevent carcinogenesis. Epigenetic modulation by EZH2 of immune-related genes is implicated in the carcinogenesis of different cancer types, including colorectal cancer. This study utilizes a mouse model of LS and ex vivo colonic organoids to assess the effects of the EZH2 inhibitor GSK503 on immune regulatory pathways, tumorigenesis, and epigenetic reprogramming. Our findings revealed that GSK503 significantly increased CD4+ and CD8+ T cells in both splenocytes and colonic mucosa of treated mice compared with controls. Additionally, a preventive dose of GSK503 over 9 weeks notably reduced adenoma multiplicity, demonstrating its efficacy as a preventive modality. Single-cell RNA-Seq and molecular analyses showed activation of immune and apoptotic markers, along with a reduction in H3K27 methylation levels in colonic crypts. ChIP sequencing further revealed decreased levels of H3K27me3 and H3K4me1, while levels of the active enhancer marks H3K4me3 and H3K27Ac increased in treated mice. Collectively, these findings indicate that EZH2 inhibition enhances immune responses through epigenetic reprogramming in the genome of LS mice, establishing a promising framework for the clinical development of EZH2 inhibitors as a cancer prevention strategy for LS carriers.

Authors

Charles M. Bowen, Fahriye Duzagac, Abel Martel-Martel, Laura Reyes-Uribe, Mahira Zaheer, Jacklyn Thompson, Nan Deng, Ria Sinha, Soham Mazumdar, Melissa W. Taggart, Abhinav K. Jain, Elena Tosti, Winfried Edelmann, Krishna M. Sinha, Eduardo Vilar

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Figure 1

Inhibition of Ezh2 enhances in vitro cytotoxic immune cell–mediated killing of murine and patient-derived organoids.

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Inhibition of Ezh2 enhances in vitro cytotoxic immune cell–mediated kill...
(A) Schematic of the VCMsh2THu murine model showing the workflow for coculture preparation. (B) Gene expression analysis of VCMsh2THu organoids from GSK503-treated AP-MDOs is represented as a volcano plot, with log2FC on the x axis and −log10(adjusted P) on the y axis. Significant upregulated and downregulated genes (adjusted P ≤ 0.05, log2FC ≥ 3) are highlighted within pathways of interest. The horizontal line indicates Benjamini-Hochberg–adjusted P = 0.05. (C) A heatmap depicting gene expression changes in AP and NM organoids using logFC > 0.5 (FDR < 0.05). (D) Cytotoxicity results from murine (top) and human (bottom) organoid coculture experiments. Light-colored bars represent cytotoxicity in organoids treated with GSK503 (n = 6 organoid replicates), while dark-colored bars correspond to cytotoxicity in organoid coculture system treated with GSK503 (n = 6 coculture replicates). Gray bars represent controls, red bars represent 0.5 μM GSK503, cyan bars represent 1 μM GSK503, and purple bars represent 2 μM GSK503. Cytotoxicity data are normalized to controls and expressed as mean ± SEM from 3 technical replicates and 3 independent experiments. (E) Flow cytometric immune cell profiling in murine (N = 3, top) and human (N = 3, bottom) immune cells and cocultures following GSK503 treatment. Light-colored bars show immune cells from splenocytes (top) and PBMCs (bottom) alone, and dark-colored bars represent cocultures with or without GSK503. CD4 stains for helper T cells, CD8 for cytotoxic T cells, and CD335 for NK T cells. Statistical analyses were performed using 1-way ANOVA with multiple comparisons to the control (gray bars) and are presented as mean ± SEM from 3 biological replicates. *P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001.

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