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TGF-beta polymorphisms and breast cancer in families

TGF-beta polymorphisms and breast cancer in families
TGF-β 多态性与家族乳腺癌
批准号:
8301717
负责人:
Boris Pasche
金额:
$16.02万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-07 至 2014-07-31
关键词:
9q22ACVR1 geneACVR1B geneACVR2 geneACVR2B geneACVRL1 geneAMHR2 geneActivinsAddressAdhesionsAffectAlanineAllelesApoptosisAreaBMP10 geneBMP15 geneBMP2 geneBMP3 geneBMP4BMP5 geneBMP6 geneBMP7 geneBMPR1A geneBMPR2 geneBRCA1 geneBRCA2 geneBone Morphogenetic ProteinsBreastBreast Cancer CellCase-Control StudiesCell physiologyCodeCollectionDataDiagnostic Neoplasm StagingDoseERBB2 geneEpidemiologic StudiesEpidemiologyEpithelial CellsEstrogensEthnic groupExonsFamilyFrequenciesFundingGCG geneGDF10 geneGDF15 geneGDF5 geneGDF8 geneGDF9 geneGene ExpressionGenesGeneticGenetic MarkersGenetic PolymorphismGenetic VariationGenomicsGenotypeGrowthGrowth FactorHaplotypesHealthHereditary Breast CarcinomaHeterozygoteHomozygoteHumanINHA geneIn VitroIndividualLeadLigandsMADH2 geneMADH3 geneMADH4 geneMADH6 geneMADH7 geneMalignant NeoplasmsMapsMedicalMenopausal StatusMessenger RNAMeta-AnalysisMorbidity - disease rateMusMutationNBL1 geneNamesNodalOutcomePathogenesisPathway AnalysisPathway interactionsPatientsPenetrancePhasePhenotypePopulationPredispositionProgesteroneProstateProtein IsoformsProteinsQuantitative Trait LociRNAReceptor SignalingResearchResearch PersonnelResourcesRiskSNP genotypingSiblingsSignal PathwaySignal TransductionSignaling Pathway GeneSisterStage at DiagnosisSystemTGFB1 geneTGFB2 geneTGFB3 geneTGFBR1 geneTGFBR2 geneTGFBR3 geneTestingTransforming Growth Factor betaTriplet Multiple BirthTumor stageVariantWomanWorkbasebreast cancer family registrybreast cancer registrycancer geneticscancer riskcase controlcell growthcell motilitycohortgene functiongene interactiongenetic epidemiologygenetic variantgenome wide association studygrowth differentiation factor 6growth differentiation factor 7in vivoinsertion/deletion mutationinterestlymphoblastoid cell linemRNA Expressionmalignant breast neoplasmmigrationmortalitymouse modelnovelprotein expressionreceptortumor

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中文摘要
翻译
描述(由申请人提供):生长因子的转化生长因子β(TGF-β)超家族调节许多细胞功能,包括细胞生长、粘附、迁移、细胞命运决定和分化以及细胞凋亡。生长因子的TGF-β超家族的配体包括几种TGF-β同种型、激活素同种型和骨形态发生蛋白,它们由不同的基因编码,但通过类似的受体信号传导系统起作用。配体、受体蛋白和SMAD细胞内信使的功能对于抑制性信号转导至关重要。在这方面,越来越多的证据表明,TGF-β超家族的配体、受体和细胞内信使的常见变体可能显著改变乳腺癌的风险和结果。我们是第一个鉴定出TGFBR 1 *6A的人,这是TGFBR 1基因的一种常见变体。我们对14项病例对照研究(包括6694例乳腺癌病例和8579例对照)的荟萃分析显示,与非携带者相比,TGFBR 1 *6A携带者患乳腺癌的风险显著增加。总的来说,TGFBR 1 *6A纯合子患乳腺癌的风险更高(O.R. 1.40,95% CI 1.04-1.88)比TGFBR 1 *6A杂合子(O.R. 1.12,95% CI 1.00-1.25)(P趋势=8.41 x 10-4)。TGFB 1基因的一种常见变体与体外较高的TGF-2循环水平和TGF-β分泌增加有关。乳腺癌协会联盟(BCAC)最近进行的一项研究表明,TGFB 1 L10 P杂合子(O.R. 1.07,95% CI 1.02-1.13)和纯合子(O.R. 1.16,95% CI 1.08-1.25)(P趋势= 2.8 x 10-5)。因此,编码来自相同信号通路的一种配体(TGFB 1)和一种受体(TGFBR 1)的天然存在的变体与乳腺癌风险相关。这些综合研究结果为全面评估乳腺癌中TGF-2信号通路提供了强有力的理论基础。我们建议使用基于家族的关联研究来评估TGF-2超家族的65个基因的单倍型与乳腺癌风险之间的关联。总之,我们将对来自NCI赞助的乳腺癌家族登记处的5357例姐妹病例和姐妹对照进行全面的基因型分析。与乳腺癌风险相关的遗传变异将使用BCAC的资源进行验证。经验证的SNP将由BRCA 1和BRCA 2修饰物研究者联盟进一步检查。为了寻找致病变异体,我们将1)对200名携带风险单倍型的患者的验证区域进行重新测序,2)进行密集SNP基因分型。使用从淋巴母细胞系中提取的RNA,我们将独立和联合地对推定的功能相关SNP进行功能表征。在二次分析中,我们将评估不同单倍型和功能相关突变与乳腺癌风险的相关性是否因肿瘤分期、ER/PR和ERBB 2状态以及绝经状态而异。我们还将确定TGF-2超家族SNPs与乳腺癌预后的关系。 公共卫生相关性: 越来越多的证据表明,TGF-2通路基因的细微变化会改变乳腺癌的风险。该项目将研究5357名乳腺癌患者及其未受影响的姐妹篇中TGF-2通路的65个基因,并确定哪些基因与乳腺癌风险相关。
英文摘要
DESCRIPTION (provided by applicant): The Transforming Growth Factor Beta (TGF-ss) superfamily of growth factors regulates many cellular functions including cell growth, adhesion, migration, cell-fate determination and differentiation, and apoptosis. Ligands of the TGF-ss superfamily of growth factors comprises several TGF-ss isoforms, Activin isoforms, and Bone Morphogenetic Proteins, which are encoded by different genes but function through a similar receptor signaling system. The functionality of ligands, receptor proteins and SMAD intracellular messengers is critical for inhibitory signal transduction. There is, in this respect, growing evidence suggesting that common variants of the ligands, receptors and intracellular messengers of the TGF-ss superfamily may significantly modify breast cancer risk and outcome. We were the first to identify TGFBR1*6A, a common variant of the TGFBR1 gene. Our meta-analysis of fourteen case-control studies that included 6694 breast cancer cases and 8579 controls shows that TGFBR1*6A carriers have a significantly increased risk of breast cancer as compared with non- carriers. Overall, breast cancer risk is higher among TGFBR1*6A homozygotes (O.R. 1.40, 95% CI 1.04-1.88) than among TGFBR1*6A heterozygotes (O.R. 1.12, 95% CI 1.00-1.25) (Ptrend =8.41 x 10-4). A common variant of the TGFB1 gene has been associated with higher circulating levels of TGF-2 and increased TGF-ss secretion in vitro. A recent study conducted by the Breast Cancer Association Consortium (BCAC) has shown that breast cancer risk was increased among TGFB1 L10P heterozygotes (O.R. 1.07, 95% CI 1.02-1.13) and homozygotes (O.R. 1.16, 95% CI 1.08-1.25) (Ptrend = 2.8 x 10-5). Hence, naturally-occurring variants encoding for one ligand (TGFB1) and one receptor (TGFBR1) from the same signaling pathway are associated with breast cancer risk. These combined findings provide a strong rationale to comprehensively assess the TGF-2 signaling pathway in breast cancer. We propose to assess the association between haplotypes of the 65 genes of the TGF-2 superfamily and breast cancer risk using a family-based association study. Overall, we will perform a comprehensive genotypic analysis of the pathway in 5357 sister cases and sister controls from the NCI-sponsored Breast Cancer Family Registry. Genetic variants associated with breast cancer risk will be validated using the resources of BCAC. Validated SNPs will be further examined by the Consortium of Investigators of Modifiers of BRCA1 and BRCA2. To search for the causal variant(s) we will 1) re-sequence the validated region(s) in 200 patients that carry the risk haplotypes, 2) perform dense SNP genotyping. Using RNA extracted from lymphoblastoid cell lines we will functionally characterize the putative functionally-relevant SNPs independently and jointly. In secondary analyses, we will evaluate whether the associations of the various haplotypes and functionally-relevant mutations with breast cancer risk differ according to tumor stage, ER/PR and ERBB2 status and menopausal status. We will also determine the association of the TGF-2 superfamily SNPs with breast cancer outcomes. PUBLIC HEALTH RELEVANCE: There is growing evidence that subtle changes in genes of the TGF-2 pathway modify breast cancer risk. This project will study 65 genes of the TGF-2 pathway in 5357 women with breast cancer and their unaffected sisters and determine which genes are associated with breast cancer risk.
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