Ovarian Cancer Subtyping to Understand Risk, Treatment, Survival, and Racial/Ethnic Disparities

Update item information
Identifier ovarian_cancer_subtyping_to_understand_risk_treatment_survival_and_racial_ethnic_disparities
Title Ovarian Cancer Subtyping to Understand Risk, Treatment, Survival, and Racial/Ethnic Disparities
Creator Doherty, J.A.; Huntsman Cancer Institute and Department of Population Health Sciences, School of Medicine, University of Utah Health
Subject Diffusion of Innovation; Disease Susceptibility; Ovarian Neoplasms; Cystadenocarcinoma, Serous; Carcinoma, Ovarian Epithelial; Prognosis; ROC Curve; Biomarkers, Tumor; Prevalence; Survival Analysis; Kaplan-Meier Estimate; SEER Program; Disease Management; Social Class; Healthcare Disparities; Treatment Outcome; Knowledge Discovery
Keyword Cancer
Image Caption Kaplan-Meir survival curves for overall survival by molecular subtype in ~3200 high grade serous ovarian cancer cases.
Description Ovarian cancer is the deadliest gynecologic cancer, with a five-year survival of only 47%. Treatment has remained consistent over the last several decades, using a "one size fits all" approach for the various histotypes, with minimal improvement in outcomes. Doherty and colleagues have focused on deciphering heterogeneity in ovarian cancer tumors, as a guide to the understanding of risk, treatment, survival, and racial/ethnic disparities. In a definitive paper on this topic, they used data from >28,000 cases in the Surveillance, Epidemiology, and End Results (SEER) program. The group found that histotypes, as defined by the new WHO guidelines, are associated with apparent differences in survival in the U.S. population. The most common and lethal histotype, high grade serous ovarian cancer (HGSC), is also highly variable. As part of an international team of investigators, Doherty and colleagues have also developed a new clinical test, PrOTYPE (Predictor of high-grade serous Ovarian carcinoma molecular subTYPE), to classify HGSC into one of four known molecular subtypes associated with differential survival, and distinct biological features believed to respond differently to treatment options. PrOTYPE allows the classification of an individual patient's tumor in real-time and has applications for research studies and clinical trials. They are also examining epidemiologic features associated with each histotype and HGSC subtype, and whether the prevalence and features of the subtypes are linked to racial/ethnic disparities in ovarian cancer outcomes.
Relation is Part of 50 Basic Science Discoveries in 5 Years- 2019
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Date Digital 2020
Date 2019
Type Image
Format image/jpeg
Rights Management Copyright © 2020, University of Utah, All Rights Reserved
Language eng
ARK ark:/87278/s65n1vsn
References 1.) Challenges and opportunities in studying the epidemiology of ovarian cancer subtypes. Doherty JA, Peres LC, Wang C, Way GP, Green CS, Schildkraut JM. Curr Epidemiol Rep. 2017 Sep;4(3):211. https://pubmed.ncbi.nlm.nih.gov/29226065/ 2.) Invasive epithelial ovarian cancer survival by histotype and disease stage. Peres LC, Cushing-Haugen KL, Köbel M, Harris HR, Berchuck A, Rossing MA, Schildkraut JM, Doherty JA. J Natl Cancer Inst. 2019 Jan;111(1):60. https://pubmed.ncbi.nlm.nih.gov/29718305/
Setname ehsl_50disc
Date Created 2020-08-13
Date Modified 2020-11-17
ID 1589369
Reference URL https://collections.lib.utah.edu/ark:/87278/s65n1vsn