EHMT1/2 Inhibition Promotes Regression of Therapy-Resistant Ovarian Cancer Tumors in a CD8 T-cell–Dependent Manner

Poly ADP-ribose polymerase inhibitors (PARPi) are first-line maintenance therapy for ovarian cancer and an alternative therapy for several other cancer types. However, PARPi-resistance is rising, and there is currently an unmet need to combat PARPi-resistant tumors. Here, we created an immunocompetent, PARPi-resistant mouse model to test the efficacy of combinatory PARPi and euchromatic histone methyltransferase 1/2 inhibitor (EHMTi) in the treatment of PARPi-resistant ovarian cancer. We discovered that inhibition of EHMT1/2 resensitizes cells to PARPi. Markedly, we show that single EHMTi and combinatory EHMTi/PARPi significantly reduced PARPi-resistant tumor burden and that this reduction is partially dependent on CD8 T cells. Altogether, our results show a low-toxicity drug that effectively treats PARPi-resistant ovarian cancer in an immune-dependent manner, supporting its entry into clinical development and potential incorporation of immunotherapy. Implications: Targeting the epigenome of therapy-resistant ovarian cancer induces an antitumor response mediated in part through an antitumor immune response.

Authors

Institutions

Publication Details

Journal
Molecular Cancer Research
Published
2024-08-13
DOI
https://doi.org/10.1158/1541-7786.mcr-24-0067
Citations
7
Primary Topic
Cancer-related gene regulation
Type
article
Field-Weighted Citation Impact
1.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EHMT1/2 Inhibition Promotes Regression of Therapy-Resistant Ovarian Cancer Tumors in a CD8 T-cell–Dependent Manner

Nausica Arnoult, Courtney A. Bailey, Tomomi M. Yamamoto, Benjamin G. Bitler et al.
7 citations
Molecular Cancer Research
Cancer-related gene regulation
1.64
article

EHMT1/2 Inhibition Promotes Regression of Therapy-Resistant Ovarian Cancer Tumors in a CD8 T-cell–Dependent Manner

Nausica Arnoult, Courtney A. Bailey, Tomomi M. Yamamoto, Benjamin G. Bitler, Francis To, Zachary L. Watson, Raquel Ortega, Kimberly Rae Jordan, Abigail D. Jeong, Edward B. Chuong, Kian Behbakht, Saketh R. Guntupalli, Lily L. Nguyen, Ritsuko Iwanaga, Shujian Lin, Elizabeth R. Woodruff, Veronica Gibaja, Fabian R. Villagómez
article en
7 citations

Abstract

Poly ADP-ribose polymerase inhibitors (PARPi) are first-line maintenance therapy for ovarian cancer and an alternative therapy for several other cancer types. However, PARPi-resistance is rising, and there is currently an unmet need to combat PARPi-resistant tumors. Here, we created an immunocompetent, PARPi-resistant mouse model to test the efficacy of combinatory PARPi and euchromatic histone methyltransferase 1/2 inhibitor (EHMTi) in the treatment of PARPi-resistant ovarian cancer. We discovered that inhibition of EHMT1/2 resensitizes cells to PARPi. Markedly, we show that single EHMTi and combinatory EHMTi/PARPi significantly reduced PARPi-resistant tumor burden and that this reduction is partially dependent on CD8 T cells. Altogether, our results show a low-toxicity drug that effectively treats PARPi-resistant ovarian cancer in an immune-dependent manner, supporting its entry into clinical development and potential incorporation of immunotherapy. Implications: Targeting the epigenome of therapy-resistant ovarian cancer induces an antitumor response mediated in part through an antitumor immune response.

Molecular Cancer ResearchVol. 22(12)
University of Colorado Boulder (US), Epizyme (United States) (US), Abeona Therapeutics (United States) (US), Ipsen (United States) (US), University of Colorado Anschutz Medical Campus (US), University of Colorado Denver (US)
U.S. Department of Defense, American Cancer Society, Alfred P. Sloan Foundation, Glenn Foundation for Medical Research, Boettcher Foundation, Ovarian Cancer Research Alliance, National Institutes of Health, Cancer Center, University of Colorado
Good health and well-being
Openalex Percentile: Top 16%
Cancer-related gene regulation
1.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.