Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
J Intern Med ; 271(4): 366-78, 2012 Apr.
Article in English | MEDLINE | ID: mdl-22443200

ABSTRACT

In this article, we review the current knowledge of the inherited genetics of epithelial ovarian cancer (EOC) susceptibility and clinical outcome. We focus on recent developments in identifying low-penetrance susceptibility genes and the role of the Ovarian Cancer Association Consortium (OCAC) in these discoveries. The OCAC was established to facilitate large-scale replication analyses for reported genetic associations for EOC. Since its inception, the OCAC has conducted both candidate gene and genome-wide association studies (GWAS); the latter has identified six established loci for EOC susceptibility, most of which showed stronger association with the serous histological subtype. Future GWAS and sequencing studies are likely to result in the discovery of additional susceptibility loci and may result in established associations with clinical outcome. Additional rare and uncommon ovarian cancer loci will likely be uncovered from high-throughput next-generation sequencing studies. Applying these novel findings to establish improved preventative and clinical intervention strategies will be one of the major challenges of future work.


Subject(s)
Genetic Predisposition to Disease/genetics , Neoplasms, Glandular and Epithelial/genetics , Ovarian Neoplasms/genetics , Carcinoma, Ovarian Epithelial , Female , Forecasting , Genetic Loci , Genome-Wide Association Study , Humans , Ovarian Neoplasms/drug therapy , Ovarian Neoplasms/mortality , Polymorphism, Single Nucleotide , Treatment Outcome
2.
Br J Cancer ; 101(8): 1461-8, 2009 Oct 20.
Article in English | MEDLINE | ID: mdl-19738611

ABSTRACT

BACKGROUND: Dysregulation of the cell cycle is a hallmark of many cancers including ovarian cancer, a leading cause of gynaecologic cancer mortality worldwide. METHODS: We examined single nucleotide polymorphisms (SNPs) (n=288) from 39 cell cycle regulation genes, including cyclins, cyclin-dependent kinases (CDKs) and CDK inhibitors, in a two-stage study. White, non-Hispanic cases (n=829) and ovarian cancer-free controls (n=941) were genotyped using an Illumina assay. RESULTS: Eleven variants in nine genes (ABL1, CCNB2, CDKN1A, CCND3, E2F2, CDK2, E2F3, CDC2, and CDK7) were associated with risk of ovarian cancer in at least one genetic model. Seven SNPs were then assessed in four additional studies with 1689 cases and 3398 controls. Association between risk of ovarian cancer and ABL1 rs2855192 found in the original population [odds ratio, OR(BB vs AA) 2.81 (1.29-6.09), P=0.01] was also observed in a replication population, and the association remained suggestive in the combined analysis [OR(BB vs AA) 1.59 (1.08-2.34), P=0.02]. No other SNP associations remained suggestive in the replication populations. CONCLUSION: ABL1 has been implicated in multiple processes including cell division, cell adhesion and cellular stress response. These results suggest that characterization of the function of genetic variation in this gene in other ovarian cancer populations is warranted.


Subject(s)
Cell Cycle/genetics , Genetic Predisposition to Disease , Ovarian Neoplasms/genetics , Polymorphism, Single Nucleotide , Cyclin-Dependent Kinases/genetics , Female , Humans , Ovarian Neoplasms/etiology
3.
Nat Rev Cancer ; 5(12): 977-85, 2005 12.
Article in English | MEDLINE | ID: mdl-16341085

ABSTRACT

Most cases of breast and prostate cancer are not associated with mutations in known high-penetrance genes, indicating the involvement of multiple low-penetrance risk alleles. Studies that have attempted to identify these genes have met with limited success. The National Cancer Institute Breast and Prostate Cancer Cohort Consortium--a pooled analysis of multiple large cohort studies with a total of more than 5,000 cases of breast cancer and 8,000 cases of prostate cancer--was therefore initiated. The goal of this consortium is to characterize variations in approximately 50 genes that mediate two pathways that are associated with these cancers--the steroid-hormone metabolism pathway and the insulin-like growth factor signalling pathway--and to associate these variations with cancer risk.


Subject(s)
Breast Neoplasms/genetics , Genes, Neoplasm , Penetrance , Prostatic Neoplasms/genetics , Breast Neoplasms/metabolism , Cohort Studies , Female , Gonadal Steroid Hormones/metabolism , Humans , Male , Prostatic Neoplasms/metabolism
SELECTION OF CITATIONS
SEARCH DETAIL