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Genetic Variation in Individual Sensitivity to Clinical Radiotherapy
https://repo.qst.go.jp/records/69771
https://repo.qst.go.jp/records/697711c847ae5-4301-403f-8c37-9d3491123094
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2009-06-16 | |||||
| タイトル | ||||||
| タイトル | Genetic Variation in Individual Sensitivity to Clinical Radiotherapy | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
| 資源タイプ | conference object | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Imai, Takashi
× Imai, Takashi× Suga, Tomo× Ishikawa, Atsuko× Shoji, Yoshimi× Iwakawa, Mayumi× 今井 高志× 菅 智× 石川 敦子× 荘司 好美× 岩川 眞由美 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The clinical radiosensitivity of normal tissue is likely to be a complex trait that is dependent on the cumulative effect of many minor genetic determinants. We have searched for polymorphisms associated with the radiosensitivity of normal tissue in cancer patients who have undergone radiotherapy. Between October 2001 and March 2009, 2,653 patients were recruited to our project, including 773 breast cancer patients and 855 prostate cancer patients. The candidate genes for SNP typing in this project were selected by our previous comprehensive gene expression analyses data using human cultured cell lines and mouse strains. We also added well-known genes in the literature as responsible genes for radiosensitivity. A total of 190 genes were chosen and 1,300 SNPs have been typed using a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry system (MassARRAY, Sequenom). Thus far, we indentified multiple SNPs associated with risk of skin reaction after radiation therapy in breast cancer patients and another group of SNPs associated with risk of urinary morbidity after radiation therapy in prostate cancer patients. These data suggest that multiple genetic factors are associated with individual radiosensitivity in the cancer patient-groups, unlike a few Mendelian diseases with hypesensitivity to ionizing irradiation caused by single gene mutation such as ATM. Individuals in this study contain different numbers of minor alleles affecting radiation sensitivity. This fact suggests that contribution of each allele to radiosensitivity may be tissue-specific and the strength to the sensitivity of one allele might be small and dissimilar each other. This would provide an understanding of the mechanisms underlying the genetic variation in radiosensitivity among the population, and would show the possibility of the risk prediction for the side effects prior to radiation therapy. |
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| 会議概要（会議名, 開催地, 会期, 主催者等） | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Genomic Tools & Technologies Summit | |||||
| 発表年月日 | ||||||
| 日付 | 2009-06-10 | |||||
| 日付タイプ | Issued | |||||
