| Project/Area Number |
15K10052
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
General surgery
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| Research Institution | Osaka University |
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Principal Investigator |
KIM Seung Jin 大阪大学, 医学系研究科, 准教授 (90346213)
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| Co-Investigator(Kenkyū-buntansha) |
下村 淳 大阪大学, 医学系研究科, 助教 (10625841)
多根井 智紀 大阪大学, 医学系研究科, 助教 (80771518)
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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 |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 乳癌 / 術前化学療法 / pCR / 乳腺造影MRI / ctDNA / メチレーション / predictive factor / サブタイプ / 予後因子 / cCRとpCRの乖離 / 予測因子 / 造影ＭＲＩ / 造影MRI |
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| Outline of Final Research Achievements |
The aim of this study was to develop the prediction system of pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer. In breast cancer patients with Stage II - III diseases preoperatively treated with paclitaxel +/- trastuzumab followed by FEC therapy, the tumor shape on dynamic contrast-enhanced (CE) MRI before NAC, the hormone receptor status, the intrinsic subtype, and a decrease of methylated circulating tumor DNA after NAC were significantly associated with pCR. A ROC analysis demonstrated the combination of the baseline tumor shape on dynamic CE-MRI and the intrinsic subtype showed a high predictive performance for pCR. In addition, a combination analysis of the baseline tumor shape and the clinical subtype classification using hormone receptor and HER2 status had a highly correlated with pCR in patients with clinical CR on dynamic CE-MRI after NAC.
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