Jurisdiction:
United States
Organ System:
Uterus
Funding Organization:
- National Cancer Institute, USA
Research Organizations:
- Baylor College of Medicine, USA
- NYU Grossman School of Medicine, NYU
- Pacific Northwest National Laboratory, USA
- Johns Hopkins University, USA
- Broad Institute of MIT and Harvard, USA
- Icahn School of Medicine at Mount Sinai, USA
- University of Michigan, USA
Principal Investigators
:- David Fenyo
- Tao Liu
- Bing Zhang
- Karin D. Rodland
- Matthew L. Anderson
Publication:
External Links:
We characterized a prospective endometrial carcinoma (EC) cohort containing 138 tumors and 20 enriched normal tissues using 10 different omics platforms. Targeted quantitation of two peptides can predict antigen processing and presentation machinery activity, and may inform patient selection for immunotherapy. Association analysis between MYC activity and metformin treatment in both patients and cell lines suggests a potential role for metformin treatment in non-diabetic patients with elevated MYC activity. PIK3R1 in-frame indels are associated with elevated AKT phosphorylation and increased sensitivity to AKT inhibitors. CTNNB1 hotspot mutations are concentrated near phosphorylation sites mediating pS45-induced degradation of β-catenin, which may render Wnt-FZD antagonists ineffective. Deep learning accurately predicts EC subtypes and mutations from histopathology images, which may be useful for rapid diagnosis. Overall, this study identified molecular and imaging markers that can be further investigated to guide patient stratification for more precise treatment of EC.
