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DNA Repair Phenotype the Missing Link in Breast Cancer Risk Assessment

DNA Repair Phenotype the Missing Link in Breast Cancer Risk Assessment
DNA 修复表型是乳腺癌风险评估中缺失的一环
批准号:
10440447
负责人:
DAVID JONATHAN BRENNER
金额:
$61.82万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2023-06-30
关键词:
AddressAgeArchivesBRCA1 geneBRCA2 geneBiological AssayBiological MarkersBiometryBiopsyBloodBlood specimenBreast Cancer DetectionBreast Cancer EpidemiologyBreast Cancer ModelBreast Cancer Risk Assessment ToolBreast Cancer Risk FactorCalibrationCase-Control StudiesCellsChemopreventionClinicClinicalDNADNA DamageDNA Double Strand BreakDNA MethylationDNA RepairDNA Repair GeneDNA lesionDefectDevelopmentDiscriminationDiseaseDouble EffectDouble Strand Break RepairEpigenetic ProcessFreezingFrequenciesGenesGeneticGenomeGenome StabilityGenotypeGrantIncidenceIndividualInvestigationLaboratoriesLeadLinkLiteratureMalignant NeoplasmsMammographic screeningMeasurementMeasuresMethodologyMethodsModelingMolecular EpidemiologyMutagensMutationNested Case-Control StudyNucleotide Excision RepairOncogenesOutcomePerformancePeripheral Blood LymphocytePeripheral Blood Mononuclear CellPhenotypePopulation StudyPredispositionPreventionPrimary PreventionProspective StudiesProspective cohortProteinsProtocols documentationReportingResearchResearch PersonnelRiskRisk AssessmentRisk FactorsRoleSample SizeSamplingSecondary PreventionSystemTimeTumor Suppressor GenesWomanadductbasebiological specimen archivesbreast cancer diagnosisbreast cancer family registrycancer initiationcancer riskcase controlclinical applicationclinical riskcohortdesignepigenetic markerfollow-upgene repairhigh riskimprovedindividual variationinter-individual variationlymphoblastoid cell linemalignant breast neoplasmmortalitymutation carrierovertreatmentphenotypic biomarkerprospectiverepairedresponserisk stratificationscreeningyoung woman

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中文摘要
翻译
摘要 DNA修复是维持细胞基因组稳定性的重要机制。DNA修复机制的缺陷 增加细胞对DNA损伤剂的脆弱性和基因组中突变的积累,并导致 包括癌症在内的各种疾病的发展。DNA修复能力(DRC), 包括我们自己的,估计乳腺癌(BC)的风险比大多数其他国家高得多(3-15倍)。 确定了BC的风险因素,除了BRCA 1和BRCA 2等基因的高度渗透突变, 对DNA修复至关重要的基因。尽管这种关联很强,但没有大规模的BC前瞻性研究 存在.尽管一些BC风险模型包括DNA修复基因中的已知突变,但基因型仅部分地 解释表型,BC风险模型目前不包括表型DNA修复措施。缺乏 包括一个主要的风险因素- DRC -可能是临床BC风险模型只有适度的主要原因。 绩效-这使得针对有效的初级预防选择非常具有挑战性(例如, 化学预防)对于大多数未知突变携带者的妇女。此外,二级预防 选项(例如,通过乳房X线摄影或其他补充方法进行BC筛查的发病率、频率和方法) 如果有更准确的风险评估,可以更有效地确定目标。使用DRC的主要限制 用于靶向预防的缺点是缺乏高通量DRC测定,特别是表型DRC测定, 纳入癌症风险评估。我们通过调整我们的高通量, 一个全自动的H2 AX分析系统,最初设计用于分析DNA双链断裂 (DSB)在新鲜抽取的血液中用于存档血液样本。我们提出了一个最大的前景 使用丰富队列(n= 12,563)评估DSB修复效果的研究, 绝对的BC风险。在该队列中使用巢式病例对照设计(699例病例,1:1匹配),我们将测量 基线时采集的存档生物标本中的DSB-DRC(目标1a)。我们将优化检测方案, 用新鲜指尖血测量DSB-DRC,并测量年轻人DSB-DRC的纵向变化 女性(年龄<40岁)(目标1b)(n=100,间隔1-2年)。然后,我们将全面评估 DSB-DRC对DSB修复基因中遗传和表观遗传改变的独立贡献,并评估 以及遗传和表观遗传变化是否与DSB-DRC在增加BC风险中相互作用(Aim 2)。我们将 通过量化标准BC风险模型性能的改善,研究DSB-DRC的临床效用 从其纳入(目标3a),并评估DSB-DRC和BC后5年生存率之间的关系 诊断(目标3b)。我们的研究将提供必要的经验证据,从整合功能测定, 人口研究,以加快有针对性的预防选择与DNA损伤的异常反应。这 研究将由BC流行病学、分子生物学和生物学领域的一组知名研究人员领导。 流行病学、高通量DNA修复能力评估和生物统计学。
英文摘要
ABSTRACT DNA repair is a crucial mechanism for maintaining genomic stability in cells. Defects in the DNA repair machinery increase cell vulnerability to DNA-damaging agents and accumulation of mutations in the genome, and lead to the development of various disorders including cancers. Studies that have measured DNA repair capacity (DRC), including our own, have estimated a much higher risk of breast cancer (BC) (3-15-fold) than most other established risk factors for BC, with the exception of highly penetrant mutations in genes like BRCA1 and BRCA2, genes critical to DNA repair. Despite the strength of this association, no large-scale prospective studies of BC exist. Even though some BC risk models include known mutations in DNA repair genes, genotype only partially explains phenotype, and BC risk models currently do not include phenotypic DNA repair measures. The lack of inclusion of a major risk factor – DRC – is likely the major reason that clinical BC risk models have only modest performance - which makes it very challenging to target effective primary prevention options (e.g., chemoprevention) for the majority of women who are not known mutation carriers. Further, secondary prevention options (e.g., onset, frequency, and method of BC screening by mammography or other supplemental methods) could be targeted more efficiently if more accurate risk assessment existed. The main limitation of use of DRC for targeted prevention has been the lack of a high-throughput DRC assay, in particular a phenotypic DRC assay, for integration into cancer risk assessment. We have overcome this major gap by adapting our high-throughput, fully-automated ɣ-H2AX assay system which was originally designed for assaying DNA double strand breaks (DSB) in freshly-drawn blood for use with archival blood samples. We propose one of the largest prospective studies estimating the effect of DSB repair using an enriched cohort (n=12,563) that spans the spectrum of absolute BC risk. Using a nested case-control design within this cohort (699 cases, 1:1 match), we will measure DSB-DRC in archival biospecimens collected at baseline (Aim 1a). We will optimize the assay protocol for measuring DSB-DRC using fresh fingerstick blood and measure longitudinal changes in DSB-DRC in young women (age <40 years) (Aim 1b) (n=100, 1-2 years apart). We will then comprehensively assess the independent contribution of DSB-DRC over genetic and epigenetic alterations in DSB repair genes, and assess and whether genetic and epigenetic changes interact with DSB-DRC in increasing BC risk (Aim 2). We will investigate the clinical utility of DSB-DRC by quantifying the improvement in standard BC risk model performance from its inclusion (Aim 3a), and evaluating the association between DSB-DRC and 5 year survival after BC diagnosis (Aim 3b). Our study will provide essential empirical evidence from integrating functional assays into population studies to accelerate targeted prevention options linked to aberrant responses to DNA damage. This research will be led by a team of established investigators in the fields of BC epidemiology, molecular epidemiology, high-throughput DNA repair capacity assessment, and biostatistics.
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