| Project/Area Number |
17390339
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Kansai Medical University |
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Principal Investigator |
HARIMA Yoko Kansai Med.Univ., Faculty of Medicine, Associate Professor, 医学部, 助教授 (80140276)
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| Co-Investigator(Kenkyū-buntansha) |
TERASHIMA Hiromi Kyushu Univ., Faculty of Medicine, Professor, 医学部, 教授 (40140917)
IMADA Hajime Occupational and Environmental Health Univ., Faculty of Medicine, Associate Professor, 医学部, 助教授 (50223326)
HIRAKI Yoshiyuki Kagoshima Univ., Faculty of Medicine, Assistant Professor, 医学部, 講師 (90264423)
寒川 光治 関西医科大学, 医学部, 講師 (10154684)
今井 正浩 関西医科大学, 医学部, 講師 (40268339)
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| Project Period (FY) |
2005 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥11,800,000 (Direct Cost: ¥11,800,000)
Fiscal Year 2006: ¥5,700,000 (Direct Cost: ¥5,700,000)
Fiscal Year 2005: ¥6,100,000 (Direct Cost: ¥6,100,000)
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| Keywords | cancer / Radiotherapy / genome / protein / translational research / トランスレーチョナルリサーチ / 子宮頸癌 / 放射線治療 / 治療効果予測因子 |
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| Research Abstract |
Improvement of management of advanced cervical cancer after radiotherapy requires a better understanding of its biological behavior. In our previous study, some of these genes correlated with response to radiotherapy were already known to be associated with apoptosis (BIK, TEGT, SSI-3), hypoxia-inducible gene (HIF1A, CA12), and tumor cell invasion and metastasis (CTSL, CTSB, PLAU, CD44). In this series, we were analyzed to identify a set of genes related to radiosensitivity of cervical carcinoma and to establish a predictive method using real-time PCR methods. Next, we were evaluated to identify a set of genes related to metastasis of cervical carcinoma and to establish a predictive method using a cDNA microarray. Some of these genes were associated with chromosomal instability (TTK/hMps1), carcinogenesis (PPPIR7), and oncogene (USP6). We developed a "Predictive Score" system that could clearly separate the metastasis-positive group from the metastasis-negative one. These results may eventually lead to the achievement of "personalized therapy" for this disease.
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