The effect of oestrogen with BRCA1 dysfunction on carcinogenesis
Project/Area Number |
15K10073
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
General surgery
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Research Institution | St. Marianna University School of Medicine |
Principal Investigator |
SATO KO 聖マリアンナ医科大学, 医学研究科, 講師 (30598462)
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Co-Investigator(Kenkyū-buntansha) |
熊井 俊夫 聖マリアンナ医科大学, 医学研究科, 教授 (40139671)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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Keywords | 乳癌 / エストロゲン / BRCA1 / bioinformatics / 管腔構造 / 腺菅構造 / 予後不良 / 乳腺外科 / 腺管構造破綻 |
Outline of Final Research Achievements |
Mutation in BRCA1 gene is more likely to develop breast and ovarian cancer. These organs are targets of oestrogen, suggesting that oestrogen can be a main player in carcinogenesis caused by BRCA1 mutation. From a view of morphology, initial step of carcinogenesis is dysregulation of polarity signaling in epithelial tubule structure. This study is to investigate the mechanism of dysregulation of polarity caused by BRCA1 mutation with oestrogen. This study may provide a better treatment option in basal-like breast cancer associated with BRCA1 dysfunction. Unfortunately, mechanism of dysregulation in polarity has not yet been identified, however we identified biomarkers liked to poor and good prognosis in the basal-like breast cancer. Furthermore, we identified a potential effective treatment to a subset of the poor prognostic basal-like breast cancer. The mechanism of polarity dysregulation has been still investigated.
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Report
(4 results)
Research Products
(15 results)
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[Journal Article] A bioinformatics-to-clinic sequential approach to analysis of prostate cancer biomarkers using TCGA datasets and clinical samples: a new method for precision oncology?2017
Author(s)
Hidekazu Yoshie, Anna S. Sedukhina, Kimino Minagawa, Keiko Oda, Shigeko Ohnuma,Nobuyuki Yanagisawa, Ichiro Maeda, Masayuki Takagi, Hiroya Kudo, Ryuto Nakazawa, Hideo Sasaki,Toshio Kumai, Tatsuya Chikaraishi, and Ko Sato
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Journal Title
Oncotarget
Volume: 8
Issue: 59
Pages: 99601-99611
DOI
Related Report
Peer Reviewed / Open Access
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