System-based drug discovery database using partial least square regression

2016 Fiscal Year Final Research Report

• Project/Area Number: 26870175
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Digestive surgery; Tumor therapeutics
• Research Institution: Juntendo University
• Principal Investigator: MOGUSHI Kaoru 順天堂大学, 医学(系)研究科(研究院), 助教 (60569292)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 肝細胞癌 / 遺伝子発現解析 / バイオインフォマティクス / 部分最小二乗回帰 / 多変量解析 / シグナル伝達

Outline of Final Research Achievements

Hepatocellular carcinoma (HCC) is one of the most common cause of cancer-related death in the world. There is an urgent need for novel drug other than sorafenib for treatment of HCC. In this study, we aimed to develop multi-dimensional database for system-based drug discovery in HCC using various clinicopathological characteristics and gene expression profiles obtained from cancer tissues. Partial least square regression (PLSR) was used to analyze complex correlation between gene expression patterns and clinicopathological features.

Free Research Field

クリニカルバイオインフォマティクス