OvaPrint—A Cell-free DNA Methylation Liquid Biopsy for the Risk Assessment of High-grade Serous Ovarian Cancer

Author:

Buckley David N.1ORCID,Lewinger Juan Pablo2ORCID,Gooden Gerald1ORCID,Spillman Monique3ORCID,Neuman Monica14ORCID,Guo X. Mona14ORCID,Tew Ben Yi1ORCID,Miller Heather14ORCID,Khetan Varun U.14ORCID,Shulman Lee P.5ORCID,Roman Lynda46ORCID,Salhia Bodour16ORCID

Affiliation:

1. 1Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.

2. 2Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.

3. 3Division of Gynecologic Oncology, Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas.

4. 4Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Keck School of Medicine of University of Southern California, Los Angeles, California.

5. 5Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

6. 6USC Norris Comprehensive Cancer Center, Los Angeles, California.

Abstract

Abstract Purpose: High-grade serous ovarian carcinoma (HGSOC) is the most lethal epithelial ovarian cancer (EOC) and is often diagnosed at late stage. In women with a known pelvic mass, surgery followed by pathologic assessment is the most reliable way to diagnose EOC and there are still no effective screening tools in asymptomatic women. In the current study, we developed a cell-free DNA (cfDNA) methylation liquid biopsy for the risk assessment of early-stage HGSOC. Experimental Design: We performed reduced representation bisulfite sequencing to identify differentially methylated regions (DMR) between HGSOC and normal ovarian and fallopian tube tissue. Next, we performed hybridization probe capture for 1,677 DMRs and constructed a classifier (OvaPrint) on an independent set of cfDNA samples to discriminate HGSOC from benign masses. We also analyzed a series of non-HGSOC EOC, including low-grade and borderline samples to assess the generalizability of OvaPrint. A total of 372 samples (tissue n = 59, plasma n = 313) were analyzed in this study. Results: OvaPrint achieved a positive predictive value of 95% and a negative predictive value of 88% for discriminating HGSOC from benign masses, surpassing other commercial tests. OvaPrint was less sensitive for non-HGSOC EOC, albeit it may have potential utility for identifying low-grade and borderline tumors with higher malignant potential. Conclusions: OvaPrint is a highly sensitive and specific test that can be used for the risk assessment of HGSOC in symptomatic women. Prospective studies are warranted to validate OvaPrint for HGSOC and further develop it for non-HGSOC EOC histotypes in both symptomatic and asymptomatic women with adnexal masses.

Funder

Wright Family Foundation

USC Norris Comprehensive Cancer Center

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

Reference42 articles.

1. Epithelial ovarian cancer;Lheureux;Lancet,2019

2. SEER*Stat Database: Incidence - SEER 9 Regs Research Data, Nov 2018 Sub (1975–2016) <Katrina/Rita Population Adjustment>;Surveillance, Epidemiology, and End Results (SEER) Program

3. Evaluation and management of women presenting with a pelvic mass;MacLaughlan;Curr Obstet Gynecol Rep,2012

4. Diagnosis and management of adnexal masses;Biggs;Am Fam Physician,2016

5. Diagnosis and management of adnexal masses;Givens;Am Fam Physician,2009

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3