Project/Area Number |
14571207
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Digestive surgery
|
Research Institution | Kyushu University |
Principal Investigator |
KAKEJI Yoshihiro Kyushu University Hospital, Associate Professor, 大学病院, 助教授 (80284488)
|
Co-Investigator(Kenkyū-buntansha) |
BABA Hideo Kyushu University Hospital, Associate Professor, 大学院・医学研究院, 助教授 (20240905)
MAEHARA Yoshihiko Kyushu University Hospital, Professor, 大学院・医学研究院, 教授 (80165662)
|
Project Period (FY) |
2002 – 2003
|
Project Status |
Completed (Fiscal Year 2003)
|
Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2003: ¥1,100,000 (Direct Cost: ¥1,100,000)
Fiscal Year 2002: ¥2,500,000 (Direct Cost: ¥2,500,000)
|
Keywords | angiogenesis / pastric cancer / hypoxia / p53 / metastasis |
Research Abstract |
To investigate the impact of expression of hypoxia-inducible factor (HIF)-1α and p53 on prognosis in human gastric cancer, the clinicopathological characteristics of tumor and clinical outcome were analyzed. Expression of HIF-1α and p53 proteins were studied by immunohistochemistry in 216 specimens of primary gastric cancer. HIF-1α (+)/p53(+) tumors were more frequently undifferentiated type, infiltrative growth appearance, invasive in lymphatic involvement than could be the HIE-1α (-)1p53(-) ones. HIF-1α (+)/p53(+) tumors also had more lymph node metastasis than did HIF-1α (+)/p53(+) ones. When stratified for HIF-1α and p53 positivity, the patients with p53-negative and HIF-1α -negative had the most favorable prognosis and those with p53-positive and HIF-1α -positive had the worst one (P=0.0018). Using multivariate Cox regression analysis, depth of invasion, lymph node metastasis, and HIF-1α positivity were independent prognostic factors in the patients with gastric cancer. HIF-1α is one of the independent prognostic factors in gastric cancer, and the combination of HIF-1α protein overexpression with nonfunctional p53 indicates a dismal prognosis.
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