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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 3

Depletion of CBX4 in macrophages induces an immunostimulatory phenotype.

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Depletion of CBX4 in macrophages induces an immunostimulatory phenotype....
(A) UMAP of distinct clusters in WT Hepa1-6 and Cbx4-cKO Hepa1-6 tumors. (B) Percentage of cell populations. (C) UMAP of myeloid cell subpopulations in WT Hepa1-6 and Cbx4-cKO Hepa1-6 tumors. (D) Distribution of myeloid cell subpopulations. (E) Violin plots showing the expression distribution of innate immune–related genes in myeloid cells from the WT versus the Cbx4-cKO groups. (F) GSEA plots of the top 2 pathways induced by Cbx4 deletion in myeloid cells from scRNA-seq. NES, normalized enrichment score. (G–I) Hepa1-6, B16, and MC38 tumor volumes, tumor growth curves, and tumor weights were quantified. (J and L) The percentage of CD11bhiF4/80hi macrophages in WT and Cbx4-cKO Hepa1-6 (n = 6) and B16 tumors (n = 5). (K and M) MFI of histocompatibility 2, D region locus b (H2-Db) on CD11bhiF4/80hi macrophages in WT and Cbx4-cKO Hepa1-6 (n = 6) and B16 tumors (n = 5). (N and P) Percentage of CD86+ and CD206+ on CD11bhiF4/80hi macrophages in WT and Cbx4-cKO Hepa1-6 and B16 tumors (n = 6). (O and Q) MFI of PD-L1 on CD11bhiF4/80hi macrophages in WT and Cbx4-cKO Hepa1-6 and B16 tumors (n = 6). (R–U) Schematic (R), representative CFSE proliferation analysis (S), and quantification of CD44+ (T) and TNF-α+IFN-γ+ (U) OVA-specific T cells cocultured with or without WT TAMs or Cbx4-cKO TAMs (n = 3). (V and W) Representative multiplex IHC images from WT and Cbx4-cKO Hepa1-6 and B16 tumor tissues. F4/80 (green), CD8 (purple), DAPI (blue). Scale bars: 50 μm; original magnification, ×20; ×80 (insets). Data represent the mean ± SEM. Tumor growth curves data were analyzed by 2-way ANOVA with Tukey’s multiple-comparison test (G–I). Other data were analyzed by 1-way ANOVA (S–U) and 2-tailed, unpaired Student’s t test (G–Q). *P < 0.05, **P < 0.01, and ***P < 0.001.

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

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