Genome-Wide Study to Identify SNPs and CNPs Associated with Radiation Injury

鉴定与辐射损伤相关的 SNP 和 CNP 的全基因组研究

基本信息

  • 批准号:
    8267125
  • 负责人:
  • 金额:
    $ 52.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-08-01 至 2014-05-31
  • 项目状态:
    已结题

项目摘要

A subgroup of prostate cancer patients treated with brachytherapy experience radiation-induced injury manifested as either urinary morbidity, proctitis or erectile dysfunction (ED). Results have been obtained from a series of studies suggestive of a genetic basis for clinical radiosensitivity and it has been hypothesized that many patients who exhibit normal tissue radiation toxicity harbor specific single nucleotide polymorphisms (SNPs) and copy number polymorphisms (CNPs) associated with a susceptibility for the development of adverse effects resulting from a radiation treatment for prostate cancer. However, the research performed to date has been restricted to genotyping only a limited number of SNPs in a small group of candidate genes. In recognition of our inadequate understanding of the pathways involved in the development of radiation-induced urinary morbidity, proctitis and ED, as well as the incomplete knowledge of the spectrum of genes/proteins involved in the development of these forms of radiation toxicity, it is likely that we have failed to identify many of the SNPs and CNPs that are associated with the development of these manifestations of radiation injury. Therefore, we are proposing a new and innovative strategy to achieve this goal in which a genome wide association study will be performed to discover a more complete spectrum of the SNPs and CNPs (and genes) that are associated with clinical radiosensitivity. This will be a case-control study in which each prostate cancer patient that develops either urinary morbidity, proctitis or ED will be matched on age, race, stage, date of diagnosis and dosimetric parameters, with an appropriate control patient who did not develop that form of radiation injury. There will be 200 cases and 200 controls for each form of radiation injury in this study. Half of the subjects will first be screened for SNPs and CNPs using the Affymetrix 6.0 SNP array. The type I error (a) for rejection of the null hypothesis will be set at 0.0001. Therefore, depending on the minor allele frequency, we will be able to identify SNPs and CNPs whose genome relative risks (GRRs) for the development of each form of radiation induced injury is greater than approximately 2.5. Although this is a relatively modest number of subjects for a genome wide association study, therefore enabling identification of SNPs or CNPs only with relatively high GRRs, it is important to note that only SNPs and CNPs with GRRs greater than roughly 2.5 will likely be of useful predictive value in the actual clinical setting considering the dosimetric uncertainties associated with a standard radiotherapy treatment. A second phase validation study will be performed with a separate replication set comprising the other half of the subjects selected for this project using an a of 0.01, which should eliminate virtually all false positives identified in the initial phase. Finally, we will perform comprehensive SNP screening for all subjects of the DNA region surrounding every SNP that proves positively associated with each form of radiation injury in the replication set of subjects in order to genotype all SNPs in a haplotype block.
接受近距离放射治疗的前列腺癌患者中有一个亚组存在放射性损伤

项目成果

期刊论文数量(19)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients.
  • DOI:
    10.1016/j.radonc.2016.06.017
  • 发表时间:
    2016-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Andreassen CN;Rosenstein BS;Kerns SL;Ostrer H;De Ruysscher D;Cesaretti JA;Barnett GC;Dunning AM;Dorling L;West CML;Burnet NG;Elliott R;Coles C;Hall E;Fachal L;Vega A;Gómez-Caamaño A;Talbot CJ;Symonds RP;De Ruyck K;Thierens H;Ost P;Chang-Claude J;Seibold P;Popanda O;Overgaard M;Dearnaley D;Sydes MR;Azria D;Koch CA;Parliament M;Blackshaw M;Sia M;Fuentes-Raspall MJ;Ramon Y Cajal T;Barnadas A;Vesprini D;Gutiérrez-Enríquez S;Mollà M;Díez O;Yarnold JR;Overgaard J;Bentzen SM;Alsner J;International Radiogenomics Consortium (RgC)
  • 通讯作者:
    International Radiogenomics Consortium (RgC)
STROGAR - STrengthening the Reporting Of Genetic Association studies in Radiogenomics.
Genome-wide association study to identify single nucleotide polymorphisms (SNPs) associated with the development of erectile dysfunction in African-American men after radiotherapy for prostate cancer.
Machine Learning and Radiogenomics: Lessons Learned and Future Directions.
  • DOI:
    10.3389/fonc.2018.00228
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Kang J;Rancati T;Lee S;Oh JH;Kerns SL;Scott JG;Schwartz R;Kim S;Rosenstein BS
  • 通讯作者:
    Rosenstein BS
Radiogenomic Predictors of Adverse Effects following Charged Particle Therapy.
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Harry Ostrer其他文献

Harry Ostrer的其他文献

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{{ truncateString('Harry Ostrer', 18)}}的其他基金

Robust Predictor of Colon Cancer Risk
结肠癌风险的稳健预测因子
  • 批准号:
    10544646
  • 财政年份:
    2018
  • 资助金额:
    $ 52.87万
  • 项目类别:
Robust Predictor of Colon Cancer Risk
结肠癌风险的稳健预测因子
  • 批准号:
    10684777
  • 财政年份:
    2018
  • 资助金额:
    $ 52.87万
  • 项目类别:
Robust Predictor of Breast Cancer Risk
乳腺癌风险的稳健预测因子
  • 批准号:
    9409030
  • 财政年份:
    2017
  • 资助金额:
    $ 52.87万
  • 项目类别:
Robust Predictor of Breast Cancer Risk
乳腺癌风险的稳健预测因子
  • 批准号:
    10319323
  • 财政年份:
    2017
  • 资助金额:
    $ 52.87万
  • 项目类别:
Robust Predictor of Breast Cancer Risk
乳腺癌风险的稳健预测因子
  • 批准号:
    10219183
  • 财政年份:
    2017
  • 资助金额:
    $ 52.87万
  • 项目类别:
Robust Predictor of Breast Cancer Risk
乳腺癌风险的稳健预测因子
  • 批准号:
    10079935
  • 财政年份:
    2017
  • 资助金额:
    $ 52.87万
  • 项目类别:
Genomics and Predictive Modeling of Prostate Cancer Heath Disparity
前列腺癌健康差异的基因组学和预测模型
  • 批准号:
    8100808
  • 财政年份:
    2011
  • 资助金额:
    $ 52.87万
  • 项目类别:
Genomics and Predictive Modeling of Prostate Cancer Heath Disparity
前列腺癌健康差异的基因组学和预测模型
  • 批准号:
    8546708
  • 财政年份:
    2011
  • 资助金额:
    $ 52.87万
  • 项目类别:
Genomics and Predictive Modeling of Prostate Cancer Heath Disparity
前列腺癌健康差异的基因组学和预测模型
  • 批准号:
    8899457
  • 财政年份:
    2011
  • 资助金额:
    $ 52.87万
  • 项目类别:
Genomics and Predictive Modeling of Prostate Cancer Heath Disparity
前列腺癌健康差异的基因组学和预测模型
  • 批准号:
    8334014
  • 财政年份:
    2011
  • 资助金额:
    $ 52.87万
  • 项目类别:

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