bioRxivCancer Biology
Dual G9A and EZH2 inhibition stimulates an anti-tumour immune response in ovarian high-grade serous carcinoma
P. Spiliopoulou, S. Spear, H. Mirza, I. Garner, L. Mcgarry, F. Grundland-Freile, Z. Cheng, D. Ennis, S. McNamara, M. Natoli, S. Mason, K. Blyth, P. Adams, P. Roxburgh, M. Fuchter, R. Brown, I. McNeish
Abstract
Ovarian high-grade serous carcinoma (HGSC) prognosis correlates directly with presence of intratumoral lymphocytes. However, cancer immunotherapy has yet to achieve meaningful survival benefit in patients with HGSC. Epigenetic silencing of immunostimulatory genes is implicated in immune evasion in HGSC and re-expression of these genes could promote tumour immune clearance. We discovered that simultaneous inhibition of the histone methyltransferases G9A and EZH2 activates the CXCL10-CXCR3 axis and increases homing of intratumoral effector lymphocytes and natural killer cells whilst suppressing tumour-promoting FoxP3+ CD4 T cells. The dual G9A/EZH2 inhibitor HKMTI-1-005 induced chromatin changes that resulted in the transcriptional activation of immunostimulatory gene networks, including the re-expression of elements of the ERV-K endogenous retroviral family. Importantly, treatment with HKMTI-1-005 improved the survival of mice bearing Trp53-/-null ID8 ovarian tumours and resulted in tumour burden reduction. These results indicate that inhibiting G9A and EZH2 in ovarian cancer alters the immune microenvironment and reduces tumour growth and therefore positions dual inhibition of G9A/EZH2 as a strategy for clinical development. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/443282v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@4c4323org.highwire.dtl.DTLVardef@cbd6fdorg.highwire.dtl.DTLVardef@8fb5e5org.highwire.dtl.DTLVardef@eef9c8_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- assay: bulk RNA-seq
- assay: proteomics
- research focus: cancer & tumor microenvironment
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- approach: statistical model
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