Predictive tool for endocrine response of breast cancer

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K21237
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Tumor diagnostics; General surgery
• Research Institution: Kumamoto University
• Principal Investigator: Yamamoto-Ibusuki Mutsuko 熊本大学, 医学部附属病院, 寄附講座教員 (30448526)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: 乳癌 / ホルモン療法 / 効果予測

Outline of Final Research Achievements

①DNA copy number abberation algorithm of pre-treatment tumor DNA showed little relationship to Ki67 decrease between pre- and post treatment.
②Whole blood RNA were analyzed by 90 cases. Test set (N=10) revealed microRNAs, which were correlated with PEPI score, such as miR503-5p, miR127-3p, miR135b-5p, miR126-3p, let7e-3, and miR647.These microRNAs had been reported as factor of cancer initiation and progression.

Free Research Field

乳癌