Search for drug resistance genes in ovarian cancer cells by new exhaustive genome screening method

• Project/Area Number: 26462537
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Obstetrics and gynecology
• Research Institution: Keio University
• Principal Investigator: NOMURA HIROYUKI 慶應義塾大学, 医学部(信濃町), 助教 (50327590)
• Research Collaborator: KATAOKA Fumio ; YAMAGAMI Wataru ; CHIYODA Tatsuyuki ; IGUCHI Yoko ; HASHIMOTO Shiho ; IWASA Naomi ; NAKADAIRA Naoki ; YOSHIHAMA Tomoko ; NANKI Yoshiko ; DOZEN Ai ; SAOTOME Keiko ; TANAKA Hideo
• Project Period (FY): 2014-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: 薬剤反応性 / 抗がん剤 / 卵巣癌

Outline of Final Research Achievements

We aimed to identify drug resistance gene in ovarian cancer cell line using a novel wide gene screening method. We also examined the association between single nucleotide polymorphisms (SNPs) and genetic markers involved in stress response or drug resistance.
We were able to obtain drug-resistant colonies of ovarian cancer cell lines for screening drug resistant genes and obtain basic data, and to verify experimental condition setting. However, it was difficult to stably establish colonies in cell lines derived from some histological types, leaving a problem in applying this method widely. In addition, a correlation between SNPs on taxane metabolism-related genes and sensitivity to cytotoxic drugs was suggested.