Development of recurrence risk prediction model 95-gene classifier and its application to formalin-fixed paraffin-embedded tissues.
Project/Area Number |
16K10456
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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 | Osaka University |
Principal Investigator |
Naoi Yasuto 大阪大学, 医学系研究科, 助教 (30646211)
|
Project Period (FY) |
2016-04-01 – 2019-03-31
|
Project Status |
Completed (Fiscal Year 2018)
|
Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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Keywords | 乳癌 / マイクロアレイ / 再発予測 / 多遺伝子アッセイ / FFPE / 網羅的遺伝子発現解析 / RNA |
Outline of Final Research Achievements |
We previously developed a 95-gene classifier (95GC) to classify ER-positive, HER2-negative, and node-negative breast cancers as high and low-risk groups. Although the 95GC was originally developed using fresh-frozen (FF) tissues, we aimed to apply this to formalin-fixed paraffin-embedded (FFPE) tissues. As the result, 95GC Recurrence Score was well correlated (R = 0.92) with FF and FFPE tissues, and the concordance rate (94.6%) of high- and low-risk groups was also considerably high. Our 95GC was applicable to FFPE tissues with a high concordance rate with FF tissues.
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Academic Significance and Societal Importance of the Research Achievements |
本研究では、Curebest 95GCをホルマリン固定パラフィン包埋組織検体(以下、FFPE検体)にも応用可能なように改良した。本研究により95GCはFFPEに適応拡大することに成功し、2019年現在多数の病院施設からのFFPE検体を受け付けている。この事で、より多数の乳癌患者を対象に再発予後予測を施行し、癌個別化医療を実現する事ができた。またFFPE検体を多く有する米国4施設において、95GC性能検証研究を進め、良好な成績を得る事ができた。
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Report
(4 results)
Research Products
(15 results)