2005 Fiscal Year Final Research Report Summary
IDENTIFICATION OF GENETIC FACTORS INFLUENCING THE RESPONSE TO MEDICAL THERAPY FOR UROLOGICA CANCERS
Project/Area Number |
15390490
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Urology
|
Research Institution | AKITA UNIVERSITY |
Principal Investigator |
HABUCHI Tomonori AKITA UNIVERSITY, SCHOOL OF MEDICINE, UROLOGY, PROFESSOR, 医学部, 教授 (00293861)
|
Co-Investigator(Kenkyū-buntansha) |
OGAWA Osamu KYOTO UNIVERSITY, GRADUATE SCHOOL OF MEDICINE, UROLOGY, PROFESSOR, 医学研究科, 教授 (90260611)
NAKAMURA Akira AKITA UNIVERSITY, MEDICAL INFORMATION SCIENCE, PROFESSOR, 医学部, 教授 (20155815)
TSUCHIYA Norihiko AKITA UNIVERSITY, UROLOGY, ASSOCIATE PROFESSOR, 医学部, 助教授 (70282176)
SATA Fumihiro HOKKAIDO UNIVERSITY, GRADUATE SCHOOL OF MEDICINE, PUBLIC HEALTH SCIENCE, ASSISTANT PROFESSOR, 医学研究科, 講師 (90187154)
MATUURA Shinobu AKITA UNIVERSITY, UROLOGY, ASSISTANT PROFESSOR, 医学部, 講師 (40332465)
|
Project Period (FY) |
2003 – 2005
|
Keywords | PROSTATE CANCER / BLADDER CANCER / GENETIC POLYMORPHISM / MOLECULAR EPIDEMIOLOGY / HORMONAL THERAPY / GENETICS / CHEMOTHERAPY / SINGLE NUCLEOTIDE POLYMORPHISM |
Research Abstract |
Although the progression, invasion, metastatic spread, response to therapeutic interventions and prognosis of human cancers are greatly influenced by somatic genetic alterations in the cancer cell itself, it has been suggested that they are also strongly affected by factors predetermined by an individual's genetic background. In this project, we have tried to identify genetic polymorphisms influencing the response to medical treatment for advanced urologic cancers. In advanced metastatic prostate cancer patients, the IGF-1 and CYP19 polymorphisms were significantly associated with prognosis after hormonal therapy. In invasive bladder cancer, our data indicated that polymorphisms of the PIG3 gene (down stream gene of p53) and HIF-1 alpha gene were associated with poor prognosis after radical cystectomy. The whole genome approach as well as the candidate approach will be employed in the search for host genetic factors that influence progression and treatment outcome for human cancers.
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Research Products
(42 results)