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Replication study for reported SNP associations with breast cancer survival.

ABSTRACT: PURPOSE:Nine previously reported associations between single nucleotide polymorphisms (SNPs) and breast cancer outcomes from the Shanghai Breast Cancer Study (Stage 1) were further evaluated in relation to disease-free survival (DFS) and overall survival (OS) among 5,192 additional breast cancer patients (Stage 2). METHODS:Hazard ratios (HR) and 95% confidence intervals (CI) were calculated by proportional hazards regression in models adjusted for age, disease stage, estrogen and progesterone receptor status, and treatment regimens. RESULTS:Two SNPs had generally consistent results and significant associations with OS in combined analyses. Compared to women with MMP7 rs11225297 AA genotypes, OS was moderately better for women with AT genotypes (HR: 0.8, 95% CI: 0.7-1.0) and much better for women with TT genotypes (HR: 0.4, 95% CI: 0.2-0.8). Compared to women with MMP8 rs11225395 CC genotypes, OS was slightly better for women with CT genotypes (HR: 0.9, 95% CI: 0.7-1.1) and moderately better for women with TT genotypes (HR: 0.6, 95% CI: 0.4-0.9). Joint analysis showed significant dose-response relationships with increasing numbers of rare alleles for both OS (p < 0.001) and DFS (p = 0.001). CONCLUSIONS:A functional variant in MMP8 and a SNP in high linkage disequilibrium with a functional variant in MMP7 were significantly associated with breast cancer survival in a large two-stage survival study among Chinese women. This supports the hypothesis that SNPs in matrix metalloproteinase genes may influence breast cancer prognosis; additional research on these and other SNPs in genes important in metastasis, angiogenesis, and the regulation of the tumor microenvironment is warranted.

SUBMITTER: Beeghly-Fadiel A

PROVIDER: S-EPMC3810152 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature

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Replication study for reported SNP associations with breast cancer survival.

Beeghly-Fadiel Alicia A Zheng Wei W Lu Wei W Long Jirong J Zheng Ying Y Cai Hui H Gu Kai K Chen Zhi Z Cai Qiuyin Q Gao Yu-Tang YT Shu Xiao Ou XO

Journal of cancer research and clinical oncology 20120225 6

<h4>Purpose</h4>Nine previously reported associations between single nucleotide polymorphisms (SNPs) and breast cancer outcomes from the Shanghai Breast Cancer Study (Stage 1) were further evaluated in relation to disease-free survival (DFS) and overall survival (OS) among 5,192 additional breast cancer patients (Stage 2).<h4>Methods</h4>Hazard ratios (HR) and 95% confidence intervals (CI) were calculated by proportional hazards regression in models adjusted for age, disease stage, estrogen and ...[more]

PMID: 22367361

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Project description:BackgroundBreast cancer predisposition genes identified to date (e.g., BRCA1 and BRCA2) are responsible for less than 5% of all breast cancer cases. Many studies have shown that the cancer risks associated with individual commonly occurring single nucleotide polymorphisms (SNPs) are incremental. However, polygenic models suggest that multiple commonly occurring low to modestly penetrant SNPs of cancer related genes might have a greater effect on a disease when considered in combination.MethodsIn an attempt to identify the breast cancer risk conferred by SNP interactions, we have studied 19 SNPs from genes involved in major cancer related pathways. All SNPs were genotyped by TaqMan 5'nuclease assay. The association between the case-control status and each individual SNP, measured by the odds ratio and its corresponding 95% confidence interval, was estimated using unconditional logistic regression models. At the second stage, two-way interactions were investigated using multivariate logistic models. The robustness of the interactions, which were observed among SNPs with stronger functional evidence, was assessed using a bootstrap approach, and correction for multiple testing based on the false discovery rate (FDR) principle.ResultsNone of these SNPs contributed to breast cancer risk individually. However, we have demonstrated evidence for gene-gene (SNP-SNP) interaction among these SNPs, which were associated with increased breast cancer risk. Our study suggests cross talk between the SNPs of the DNA repair and immune system (XPD-[Lys751Gln] and IL10-[G(-1082)A]), cell cycle and estrogen metabolism (CCND1-[Pro241Pro] and COMT-[Met108/158Val]), cell cycle and DNA repair (BARD1-[Pro24Ser] and XPD-[Lys751Gln]), and within carcinogen metabolism (GSTP1-[Ile105Val] and COMT-[Met108/158Val]) pathways.ConclusionThe importance of these pathways and their communication in breast cancer predisposition has been emphasized previously, but their biological interactions through SNPs have not been described. The strategy used here has the potential to identify complex biological links among breast cancer genes and processes. This will provide novel biological information, which will ultimately improve breast cancer risk management.

Project description:We investigated the association of major comorbidities with breast cancer outcomes using the Shanghai Breast Cancer Survival Study, a population-based, prospective cohort study of Chinese women diagnosed with breast cancer. Analyses included 4,664 women diagnosed with stage I-III incident breast cancer aged 20-75 years (median age = 51) during 2002-2006. Women were interviewed at 3-11 months post-diagnosis (median = 6.4) and followed up by in-person interviews and linkage with the vital statistics registry. Multivariable hazard ratios (HRs) and (95 % confidence intervals (CIs)) for the associations of comorbidities with breast cancer outcomes were estimated using Cox regression models. After a median follow-up of 5.3 years (range: 0.64-8.9), 647 women died (516 from breast cancer) and 632 recurrence/metastases were documented. The main comorbidities reported included: hypertension (22.4 %), chronic gastritis (14.3 %), diabetes mellitus (6.2 %), chronic bronchitis/asthma (5.8 %), coronary heart disease (5.0 %), and stroke (2.2 %). Diabetes was associated with increased risk of total mortality (adjusted HR: 1.40 (1.06-1.85)) and non-breast cancer mortality (adjusted HR: 2.64 (1.63-4.27)), but not breast cancer-specific mortality (adjusted HR: 0.98 (0.68-1.41)), adjusting for socio-demographics, clinical characteristics, selected lifestyle factors, and other comorbidities. Women with a history of stroke had a non-significant increased risk of total mortality (adjusted HR: 1.42 (0.91-2.22)) and a significant increased risk of non-breast cancer mortality (adjusted HR: 2.52 (1.33-4.78)), but not breast cancer-specific mortality (adjusted HR: 0.78 (0.38-1.62)). Overall, none of the comorbidities investigated were significantly associated with recurrence. In this large prospective cohort of breast cancer survivors, diabetes was significantly associated with increased risk of total and non-breast cancer mortality, and history of stroke was associated with increased risk of non-breast cancer mortality.

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Replication study for reported SNP associations with breast cancer survival.

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Replication study for reported SNP associations with breast cancer survival.

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