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OvaPrint-A Cell-free DNA Methylation Liquid Biopsy for the Risk Assessment of High-grade Serous Ovarian Cancer.
Buckley, David N; Lewinger, Juan Pablo; Gooden, Gerald; Spillman, Monique; Neuman, Monica; Guo, X Mona; Tew, Ben Yi; Miller, Heather; Khetan, Varun U; Shulman, Lee P; Roman, Lynda; Salhia, Bodour.
Afiliação
  • Buckley DN; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Lewinger JP; Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California.
  • Gooden G; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Spillman M; Division of Gynecologic Oncology, Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Neuman M; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Guo XM; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Keck School of Medicine of University of Southern California, Los Angeles, California.
  • Tew BY; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Miller H; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Keck School of Medicine of University of Southern California, Los Angeles, California.
  • Khetan VU; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Shulman LP; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Roman L; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Keck School of Medicine of University of Southern California, Los Angeles, California.
  • Salhia B; Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, California.
Clin Cancer Res ; 29(24): 5196-5206, 2023 12 15.
Article em En | MEDLINE | ID: mdl-37812492
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Ácidos Nucleicos Livres Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Clin Cancer Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Ácidos Nucleicos Livres Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Clin Cancer Res Ano de publicação: 2023 Tipo de documento: Article