Novel prediction diagnosis for personalized treatment of breast cancer
| Project/Area Number |
24591904
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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(研究院), 准教授 (90346213)
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| Co-Investigator(Kenkyū-buntansha) |
SHIMOMURA Atsushi 大阪大学, 医学(系)研究科(研究院), 助教 (10625841)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 乳癌 / 抗癌剤 / 分子標的薬 / 感受性予測 / cell cycle profiling |
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| Outline of Final Research Achievements |
Prediction for response to neoadjuvant chemotherapy (NAC) was evaluated in breast cancers. Our study demonstrated that immune-related 23-gene signature (IRSN-23) in breast cancer tissues before NAC, which was one of the multigene assays, was able to predict pCR after NAC highly accurately. Whereas methylated DNA and high total DNA levels in the serum were not significantly associated with pCR, these two markers were significantly associated with unfavorable prognosis. Baseline MRI morphology also appeared to be a significant predictor for pCR. In addition, the performance of MRI morphology in the combination analyses of other clinicopathological parameters improved better than each parameter alone.
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Report
(4 results)
Research Products
(7 results)
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[Journal Article] The cell cycle profiling-risk score based on CDK1 and 2 predicts early recurrence in node-negative, hormone receptor-positive breast cancer treated with endocrine therapy.2014
Author(s)
Kim SJ, Masuda N, Tsukamoto F, Inaji H, Akiyama F, Sonoo H, Kurebayashi J, Yoshidome K, Tsujimoto M, Takei H, Masuda S, Nakamura S, Noguchi S.
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Journal Title
Cancer Lett.
Volume: 355
Issue: 2
Pages: 217-223
DOI
Related Report
Peer Reviewed / Open Access
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[Journal Article] Methylated DNA and high total DNA levels in the serum of patients with breast cancer following neoadjuvant chemotherapy are predictive of a poor prognosis.2014
Author(s)
Fujita N, Kagara N, Yamamoto N, Shimazu K, Shimomura A, Shimoda M, Maruyama , Naoi Y, Morimoto K, Oda N, Kim SJ, Noguchi S.
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Journal Title
Oncology Letters
Volume: 8
Issue: 1
Pages: 397-403
DOI
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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[Journal Article] Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer.2014
Author(s)
Sota Y, Naoi Y, Tsunashima R, Kagara N, Shimazu K, Maruyama N, Shimomura A, Shimoda M, Kishi K, Baba Y, Kim SJ, Noguchi S.
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Journal Title
Ann Oncol.
Volume: Jan;25(1)
Pages: 100-6
Related Report
Peer Reviewed / Open Access
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[Journal Article] Comparison of efficacy of 95-gene and 21-gene classifier (Oncotype DX) for prediction of recurrence in ER-positive and node-negative breast cancer patients.2013
Author(s)
Naoi Y1, Kishi K, Tsunashima R, Shimazu K, Shimomura A, Maruyama N, Shimoda M, Kagara N, Baba Y, Kim SJ, Noguchi S.
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Journal Title
Breast Cancer Res Treat.
Volume: 2013 Jul;140(2)
Issue: 2
Pages: 299-306
DOI
Related Report
Peer Reviewed
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