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Association of genetic variation in mitotic kinases with breast cancer risk.
- Source :
-
Breast cancer research and treatment [Breast Cancer Res Treat] 2010 Jan; Vol. 119 (2), pp. 453-62. Date of Electronic Publication: 2009 Apr 30. - Publication Year :
- 2010
-
Abstract
- An RNAi-based functional screening of mitotic kinases in Drosophila recently identified a number of members of the kinome that are required for normal cell division. Depletion of these kinases resulted in a number of different mitotic abnormalities including spindle malformation, chromosome mis-segregation, centrosome amplification and failure of cytokinesis (Bettencourt-Dias et al. in Nature 432:980-987, 2004). Since mitotic defects are commonly observed in cancer cells, these kinases may contribute to tumor development and/or progression. To investigate whether common genetic variation in the mitotic kinases are associated with breast cancer risk, we genotyped 386 single nucleotide polymorphisms (SNPs) from 44 mitotic kinase genes, in 798 breast cancer cases and 843 unaffected controls from a clinic-based study. A total of 22 SNPs from 13 kinase genes displayed significant associations with breast cancer risk (P(trend) < or = 0.05), including two SNPs from FYN (rs6914091 and rs1465061) that remained of interest after accounting for multiple testing (q = 0.06). These associations were stronger when evaluating cases with estrogen and progesterone receptor positive tumors. In addition, haplotype-based tests identified significant associations with risk for common haplotypes of the MAST2 (P = 0.04) and MAP2K4 (P = 0.006) genes. Although requiring replication, these findings suggest that genetic polymorphisms in mitotic kinases that have been implicated in chromosome instability and aneuploidy may contribute to the development of breast cancer.
- Subjects :
- Breast Neoplasms enzymology
Breast Neoplasms epidemiology
Breast Neoplasms pathology
Case-Control Studies
Female
Gene Expression Regulation, Enzymologic
Gene Expression Regulation, Neoplastic
Gene Frequency
Genetic Predisposition to Disease
Haplotypes
Humans
Logistic Models
Midwestern United States epidemiology
Odds Ratio
Risk Assessment
Risk Factors
Breast Neoplasms genetics
Mitosis genetics
Polymorphism, Single Nucleotide
Protein Kinases genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1573-7217
- Volume :
- 119
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Breast cancer research and treatment
- Publication Type :
- Academic Journal
- Accession number :
- 19404734
- Full Text :
- https://doi.org/10.1007/s10549-009-0404-3