@misc{oai:repo.qst.go.jp:00068218, author = {Iwakawa, Mayumi and Suga, Tomo and Noda, Shuhei and Tsuji, Hiroshi and Ootsuka, Yoshimi and Kouda, Masakazu and Sagara, Masashi and Ishikawa, Atsuko and Suzuki, Hideyuki and Mizoe, Junetsu and Tsujii, Hirohiko and Imai, Takashi and 岩川 眞由美 and 菅 智 and 野田 秀平 and 辻 比呂志 and 荘司 好美 and 神田 将和 and 相良 雅史 and 石川 敦子 and 鈴木 英幸 and 溝江 純悦 and 辻井 博彦 and 今井 高志}, month = {Oct}, note = {Heavy ion beams possess high linear energy transfer components and a prominent Bragg peak in the human body. These properties promote higher relative biological effectiveness and a favorable dose distribution. Some patients, however, develop adverse effects in the rectum and /or bladder/urethra. Using DNA samples collected from 95 Japanese prostate cancer patients who underwent radiotherapy with the Heavy Ion Medical Accelerator in Chiba, 905 SNPs were genotyped from 127 candidate genes for radiation susceptibility. These genes were selected from our previous gene expression analyses of cultured human cell lines and mouse strains that had exhibited variable radiosensitivities. The SNPs in the candidate genes were selected from jSNP and dbSNP databases and their allele frequencies were examined using 133 healthy controls. The acute and late radiation morbidities were scored using Late Effects of Normal Tissues-subjective, objective, management, and analytic criteria. Significant differences were observed of genotype frequencies for SNPs in candidate gene loci. Area under the curve of the Receiver Operating Characteristic Curve (ROC) was estimated for each SNP marker for radiation morbidity to construct a predictive score. The top 7 markers were used in constructing predictive scores for dysuria within 3 months, and the top 5 markers at 6 months after starting radiotherapy. The top 10 markers were used in constructing predictive scores for polyuria within 3 months, and the top 11 markers at 6 months after starting radiotherapy. The distribution of ten predictive scores according to response values showed the potential discriminating power of these analyses., ASHG 55th Annual Meeting}, title = {Prediction of radiation morbidity from polymorphisms in candidate genes among prostate cancer patients treated with carbon ion therapy.}, year = {2005} }