2019 Fiscal Year Final Research Report

Identification of biomarker genes that correlate with clinical features that contribute to personalized medicine for endometrial cancer

Research Project

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Project/Area Number	17K11296
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Research Field	Obstetrics and gynecology
Research Institution	Juntendo University
Principal Investigator	Ota Tsuyoshi 順天堂大学, 医学部, 先任准教授 (80407254)
Co-Investigator(Kenkyū-buntansha)	寺尾泰久順天堂大学, 医学部, 先任准教授 (00348997) 野島美知夫順天堂大学, 医学部, 教授 (50198595) 金田容秀順天堂大学, 医学部, 准教授 (60445517) 荻島大貴順天堂大学, 医学部, 先任准教授 (90327784)
Project Period (FY)	2017-04-01 – 2020-03-31
Keywords	子宮体癌 / バイオマーカー / 個別化医療 / サブタイプ分類
Outline of Final Research Achievements	We identified genetic biomarkers that correlate with the histopathological type and preoperative risk classification of endometrial cancer. By using immunohistochemical staining (IHC) method to assess these biomarkers, we could evaluate the expression level by the staining intensity and proportion. It is expected that the evaluation of our novel biomarkers by IHC can improve the accuracy of preoperative diagnosis for endometrial cancer and contribute to individualization of surgical procedures and treatments. The individualization of surgical procedures based on risk of lymph node metastasis leads to decrease patient burden of surgery. However, the uncertainty of the preoperative pathological diagnosis, which is the main factor in various risk assessments, remains 70% on average. It can be expected that our novel marker can contribute to the improvement of diagnostic accuracy as a companion marker for preoperative pathological diagnosis.
Free Research Field	婦人科腫瘍
Academic Significance and Societal Importance of the Research Achievements	術式の個別化において最も重要な因子は、予後因子の一つであるリンパ節転移の診断である。子宮体癌の特性として、子宮体癌の約80%を占める低中リスク群ではリンパ節転移率10%以下と低く、リスク評価に基づいた術式の個別化が患者侵襲の低下に繋がる。しかし様々なリスク評価で主軸となる病理診断精度は平均70%と不確定要素が残る。本診断マーカーは、臨床応用可能な術前病理診断のコンパニオンマーカーとして診断精度向上に寄与することが可能と言える。