| Project/Area Number |
25290070
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Partial Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Medical genome science
|
|---|
| Research Institution | Tokyo Medical and Dental University |
|---|
Principal Investigator |
Tanaka Hiroshi 東京医科歯科大学, 難治疾患研究所, 非常勤講師 (60155158)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
Tanaka Shinji 東京医科歯科大学, 医歯学総合研究科分子腫瘍医学, 教授 (30253420)
Morioka Katuki 東京医科歯科大学, 難治疾患研究所, 助教 (30351589)
Mogushi Kaoru 順天堂大学大学院医学系研究科ゲノム, 再生医療センター, 助教 (60569292)
|
|---|
| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2015: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2014: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2013: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
|
|---|
| Keywords | 上皮間葉転換 / がん転移 / 遺伝子発現プロファイル / Waddington地形 / ARACNe / がんパスウェイ / 肝細胞癌 / 遺伝子ネットワーク / バイオマーカー |
|---|
| Outline of Final Research Achievements |
We conducted two studies。First, ｗe collected a major molecular pathway for hepatocellular carcinoma (HCC) including 29 genes based on literature review, and network analyses were performed in combination with the gene expression profiles of HCC patients. Furthermore, we applied our network analysis method to the Gene Ontology (GO) terms to identify candidate subnetworks effective for the treatment of HCC. Second, we also conducted gene expression analysis of epithelial-mesenchymal transition (EMT) and measured the more intensive time point of EMT gene expression profile, to investigate the detailed process of cancer invasion and metastasis. Using non-negative matrix factorization (NMF), we identified four major component, namely, monotonic increase, monotonic decrease, early response, and intermediate state. Further analysis of master regulators in each component identify candidates for the development of anti-metastasis drugs.
|
