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In vivo CRISPR screens identify CBX4 as an epigenetic regulator for cancer immunotherapy
Zhibo Ma, Wenlong Jia, Xi Zhou, Jing Liu, Qingwen Li, Ruizhi Chang, Gu Shiqi, Naonao Yuan, Zhishui Chen, Peixiang Lan
Zhibo Ma, Wenlong Jia, Xi Zhou, Jing Liu, Qingwen Li, Ruizhi Chang, Gu Shiqi, Naonao Yuan, Zhishui Chen, Peixiang Lan
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Research Article Immunology Oncology

In vivo CRISPR screens identify CBX4 as an epigenetic regulator for cancer immunotherapy

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Abstract

Epigenetic dysregulation is associated with immune evasion and immune checkpoint blockade (ICB) resistance. Here, using in vivo CRISPR/Cas9 screens targeting epigenetics-related factors in mouse tumor models treated with ICB, we identified chromobox 4 (CBX4) as a key negative regulator of the immune tumor microenvironment (TME). Single-cell RNA-seq and spatial transcriptomics analyses of patients receiving neoadjuvant anti–programmed cell death protein 1 (anti–PD-1) therapy revealed high CBX4 expression in both tumor cells and immunosuppressive tumor-associated macrophage subpopulations, with preferential accumulation in nonresponders. Deficiency of CBX4 in macrophages or tumor cells induced robust antitumor immunity and increased infiltration and the cytotoxic activity of CD8+ T cells and NK cells, thereby heightening the sensitivity of ICB treatment. Mechanistically, CBX4 targeted H3K9me3- and H3K27me3-marked endogenous retroelements such as RLTR4-Mm-int. Loss of CBX4 derepressed retrotransposons, activating cytosolic RNA-sensing pathways and triggering the type I IFN response, ultimately leading to a robustly inflamed TME. Moreover, we uncovered a negative correlation between CBX4 expression, immune responses, and retrotransposon levels, and were able to determine the prognosis of patients with hepatocellular carcinoma (HCC) undergoing ICB therapy. Our study establishes CBX4 as an epigenetic immune checkpoint through the epigenetic silencing of retrotransposons, remodeling the immune TME and thus providing a promising therapeutic target to enhance tumor immunogenicity and overcome immunotherapy resistance.

Authors

Zhibo Ma, Wenlong Jia, Xi Zhou, Jing Liu, Qingwen Li, Ruizhi Chang, Gu Shiqi, Naonao Yuan, Zhishui Chen, Peixiang Lan

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Figure 1

In vivo CRISPR screens identify CBX4 as an immune evasion target.

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In vivo CRISPR screens identify CBX4 as an immune evasion target.
(A) Sc...
(A) Schematic of the CRISPR screen. (B and C) Tumor growth curve (B) and tumor weights (C) for Hepa1-6 tumors (n = 10) from NSG, C57BL/6J, and C57BL/6J + ICB-treated groups. Scale bar: 1 cm. (D) Core pathway enrichment analysis of deleted genes in the Hepa1-6 and MC38 libraries from ICB-treated mice compared with NSG controls. (E) Depletion (red) and enrichment (blue) of targeted genes in ICB versus NSG mice grouped by top shared hits. (F) Comparison of ICB treatment and NSG mouse epigenetic library screening in Hepa1-6 and MC38 tumors. Red represents sgRNA depletion, blue represents enrichment, and the circle size corresponds to –log10(P value). (G) Representative IHC images of CBX4 staining of clinical HCC and paracancerous tissues (n = 92) and paired statistical analysis of staining intensity. Original magnification, ×50 and ×200. (H) Heatmap of clinicopathologic characteristics of Tongji cohort 2 HCC patients grouped by CBX4 expression level. BCLC, Barcelona Clinic Liver Cancer; TNM, tumor node metastasis. (I) Kaplan-Meier analyses of overall survival of mice according to CBX4 expression levels. (J) Representative IHC images showing CBX4 staining in clinical HCC samples (Tongji cohort 4). Original magnification, ×4 and ×10. (K) Relationship between high and low levels of CBX4 expression and the response rate to immunotherapy. (L) UMAP plots for identifying distinct single-cell clusters from RCC cohort samples after PD-1 blockade. (M) Feature plots showing the normalized gene expression of CBX4 projected onto the UMAP. Endo, endothelial cells: Fibro, fibroblasts. (N) Violin plots showing CBX4 expression distributions in the indicated subgroups of responders versus nonresponders. Data represent the mean ± SEM. *P < 0.05, **P < 0.01, and ***P < 0.001, by 2-way ANOVA with Tukey’s multiple-comparison test (B), 1-way ANOVA (C), 2-tailed, paired t test (G), 2-sided log-rank test (I), and 1-tailed, unpaired Wilcoxon test (N). NR, nonresponders; R, responders.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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