Investigator

Jason Gertz

Professor · University of Utah, Oncological Sciences

JGJason Gertz
Papers(2)
Allele-Specific Gene …Estrogen-induced chro…
Collaborators(10)
Craig M. RushJeffery M. VahrenkampMark R. FloryMatthew E.K. ChangMatthew Ginley-Hiding…Spencer ArnesenXiaoyang ZhangZannel BlanchardAdriana C. RodriguezAlexandra Richey
Institutions(2)
University Of UtahOhsu Knight Cancer In…

Papers

Allele-Specific Gene Regulation, Phenotypes, and Therapeutic Vulnerabilities in Estrogen Receptor Alpha–Mutant Endometrial Cancer

Abstract Activating estrogen receptor alpha (ER; also known as ESR1) mutations are present in primary endometrial and metastatic breast cancers, promoting estrogen-independent activation of the receptor. Functional characterizations in breast cancer have established unique molecular and phenotypic consequences of the receptor, yet the impact of ER mutations in endometrial cancer has not been fully explored. In this study, we used CRISPR-Cas9 to model the clinically prevalent ER-Y537S mutation and compared results with ER-D538G to discover allele-specific differences between ER mutations in endometrial cancer. We found that constitutive activity of mutant ER resulted in changes in the expression of thousands of genes, stemming from combined alterations to ER binding and chromatin accessibility. The unique gene expression programs resulted in ER-mutant cells developing increased cancer-associated phenotypes, including migration, invasion, anchorage-independent growth, and growth in vivo. To uncover potential treatment strategies, we identified ER-associated proteins via Rapid Immunoprecipitation and Mass Spectrometry of Endogenous Proteins and interrogated two candidates, CDK9 and NCOA3. Inhibition of these regulatory proteins resulted in decreased growth and migration, representing potential novel treatment strategies for ER-mutant endometrial cancer. Implications: This study provides insight into mutant ER activity in endometrial cancer and identifies potential therapies for women with ER-mutant endometrial cancer.

Estrogen-induced chromatin looping changes identify a subset of functional regulatory elements

Transcriptional enhancers can regulate individual or multiple genes through long-range three-dimensional (3D) genome interactions, and these interactions are commonly altered in cancer. Yet, the functional relationship between changes in 3D genome interactions associated with regulatory regions and differential gene expression appears context-dependent. In this study, we used HiChIP to capture changes in 3D genome interactions between active regulatory regions of endometrial cancer cells in response to estrogen treatment and uncovered significant differential long-range interactions strongly enriched for estrogen receptor alpha (ER, also known as ESR1)–bound sites (ERBSs). The ERBSs anchoring differential chromatin loops with either a gene's promoter or distal regions were correlated with larger transcriptional responses to estrogen compared with ERBSs not involved in differential 3D genome interactions. To functionally test this observation, CRISPR-based Enhancer-i was used to deactivate specific ERBSs, which revealed a wide range of effects on the transcriptional response to estrogen. However, these effects are only subtly and not significantly stronger for ERBSs in differential chromatin loops. In addition, we observed an enrichment of 3D genome interactions between the promoters of estrogen-upregulated genes and found that looped promoters can work together cooperatively. Overall, our work reveals that estrogen treatment causes large changes in 3D genome structure in endometrial cancer cells; however, these changes are not required for a regulatory region to contribute to an estrogen transcriptional response.

88Works
2Papers
16Collaborators
Cell Line, TumorEndometrial NeoplasmsBreast NeoplasmsNeoplasmsBrain NeoplasmsTumor Suppressor Protein p53

Positions

2024–

Professor

University of Utah · Oncological Sciences

2020–

Associate Professor

University of Utah · Oncological Sciences

2013–

Assistant Professor

University of Utah · Oncological Sciences

Education

2013

Postdoctoral training

HudsonAlpha Institute for Biotechnology

2008

PhD

Washington University in Saint Louis School of Medicine · Computational Biology

2002

BA

Cornell University · Mathematics