Development of histological diagnosis method and predictive diagnosis method for ovarian cancer using liquid biopsy before the surgery

2020 Fiscal Year Final Research Report

• Project/Area Number: 18K09308
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 56040:Obstetrics and gynecology-related
• Research Institution: Kyoto University
• Principal Investigator: Yamaguchi Ken 京都大学, 医学研究科, 講師 (20378772)
• Co-Investigator(Kenkyū-buntansha): 馬場 長 岩手医科大学, 医学部, 教授 (60508240) ; 万代 昌紀 京都大学, 医学研究科, 教授 (80283597)
• Project Period (FY): 2018-04-01 – 2021-03-31
• Keywords: 婦人科がん / リキッドバイオプシー / DNAメチル化 / SNV

Outline of Final Research Achievements

Comprehensive DNA methylation analysis using ovarian cancer tissues revealed that 22 genes were activated and 276 genes were suppressed that were considered to be functionally important in clear cell cancer and were regulated by DNA methylation. Exome sequence analysis using clear cell ovarian cancer revealed that there are many SNVs and copy count abnormalities in the genes involved in KRAS-PI3K signal, MYC-RB signal, and SWI / SNF complex in ovarian clear cell carcinoma. The concentration of cell-free DNA was measured from the blood of patients with ovarian cancer, endometriosis, and healthy counterparts, The concentrations of cell-free DNA increased was highest in advanced ovarian cancer, and lowest in healthy counterparts.

Free Research Field

婦人科腫瘍

Academic Significance and Societal Importance of the Research Achievements

卵巣明細胞癌に特徴的なDNAメチル化やコピー数異常、SNVを明らかにした。これはリキッドバイオプシーの検査対象になり得ると考える。健常人、子宮内膜症、卵巣癌患者のcell-free DNAの濃度を測定し、実現性を検証した。