| 1. |
- Brendle, Annika, et al.
(författare)
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Polymorphisms in predicted microRNA-binding sites in integrin genes and breast cancer ITGB4 as prognostic marker.
- 2008
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Ingår i: Carcinogenesis. - : Oxford University Press. - 0143-3334 .- 1460-2180. ; 29:7, s. 1394-1399
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Tidskriftsartikel (refereegranskat)abstract
- Integrins control the cell attachment to the extracellular matrix and play an important role in mediating cell proliferation, migration and survival. A number of important cancer-associated integrin genes can be regulated by microRNAs (miRNAs) that bind to their target sites in the 3' untranslated regions. We examined the effect of single-nucleotide polymorphisms (SNPs) in predicted miRNA target sites of six integrin genes (ITGA3, ITGA6, ITGAv, ITGB3, ITGB4 and ITGB5) on breast cancer (BC) risk and clinical outcome. Six SNPs were genotyped in 749 Swedish incident BC cases with detailed clinical data and up to 15 years of follow-up together with 1493 matched controls. We evaluated associations between genotypes and BC risk and clinical tumour characteristics. Survival probabilities were compared between different subgroups. As a novel finding, several SNPs seemed to associate with the hormone receptor status. The strongest association was observed between the A allele of the SNP rs743554 in the ITGB4 gene and oestrogen receptor-negative tumours [odds ratio 2.09, 95% confidence intervals (CIs) 1.19-3.67]. The same SNP was associated with survival. The A allele carriers had a worse survival compared with the wild-type genotype carriers (hazard ratio 2.11, 95% CIs 1.21-3.68). The poor survival was significantly associated with the aggressive tumour characteristics: high grade, lymph node metastasis and high stage. None of the SNPs was significantly associated with BC risk. As the ITGB4 SNP seems to influence tumour aggressiveness and survival, it may have prognostic value in the clinic.
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| 2. |
- Lei, Haixin, et al.
(författare)
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PAI-1 -675 4G/5G polymorphism as a prognostic biomarker in breast cancer
- 2008
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Ingår i: Breast Cancer Research and Treatment. - : Springer. - 0167-6806 .- 1573-7217. ; 109:1, s. 165-175
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Tidskriftsartikel (refereegranskat)abstract
- Extracellular matrix degradation, mediated by the urokinase plasminogen activation (uPA) system, is a critical step in tumor invasion and metastasis. High tumor levels of uPA and its inhibitor PAI-1 have been correlated with poor prognosis in breast cancer. We examined whether genetic variation in the genes of the uPA system affect breast cancer susceptibility and prognosis. We genotyped eight potentially functional single nucleotide polymorphisms (SNPs) in six genes of the uPA system in 959 Swedish breast cancer patients with detailed clinical data and up to 15 years of follow-up together with 952 matched controls. We used the unconditional logistic regression models to evaluate the associations between genotypes and breast cancer risk and tumor characteristics. The Kaplan-Meier method was used to estimate the survival probabilities; the log-rank test was used to test differences between subgroups. None of the SNPs conferred an increased breast cancer risk, but correlation with some traditional prognostic factors was observed for several SNPs. Most importantly, we identified the -675 4G/5G SNP in the PAI-1 gene as a promising prognostic biomarker for breast cancer. Compared to the 4G/4G and 4G/5G genotypes 5G/5G homozygosity correlated significantly with worse survival (RR 2.04, 95% CI 1.45-2.86, P<0.001), especially in patients with more aggressive tumors. 5G/5G homozygotes were also the group with worse survival among lymph node negative cases. Our finding suggests that genotyping PAI-1 -675 4G/5G may help in clinical prognosis of breast cancer.
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| 3. |
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| 4. |
- Shete, Sanjay, et al.
(författare)
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Genome-wide association study identifies five susceptibility loci for glioma.
- 2009
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Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 41:8, s. 899-904
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Tidskriftsartikel (refereegranskat)abstract
- To identify risk variants for glioma, we conducted a meta-analysis of two genome-wide association studies by genotyping 550K tagging SNPs in a total of 1,878 cases and 3,670 controls, with validation in three additional independent series totaling 2,545 cases and 2,953 controls. We identified five risk loci for glioma at 5p15.33 (rs2736100, TERT; P = 1.50 x 10(-17)), 8q24.21 (rs4295627, CCDC26; P = 2.34 x 10(-18)), 9p21.3 (rs4977756, CDKN2A-CDKN2B; P = 7.24 x 10(-15)), 20q13.33 (rs6010620, RTEL1; P = 2.52 x 10(-12)) and 11q23.3 (rs498872, PHLDB1; P = 1.07 x 10(-8)). These data show that common low-penetrance susceptibility alleles contribute to the risk of developing glioma and provide insight into disease causation of this primary brain tumor.
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| 5. |
- Varadi, Verena, et al.
(författare)
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Polymorphisms in telomere-associated genes, breast cancer susceptibility and prognosis
- 2009
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Ingår i: European Journal of Cancer. - Oxford : Elsevier BV. - 1879-0852 .- 0959-8049. ; 45:17, s. 3008-3016
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Tidskriftsartikel (refereegranskat)abstract
- Telomeres are essential structures for maintaining chromosomal stability and their length has been reported to correlate with cancer risk and clinical outcome. Single nucleotide polymorphisms (SNPs) in genes encoding telomere-associated proteins could affect telomere length and chromosomal stability by influencing gene expression or protein configuration in the telomeres. Here, we report the results of the first association study on genetic variation in telomere-associated genes and their effect on telomere length, breast cancer (BC) susceptibility and prognosis. We genotyped 14 potentially functional and most informative SNPs in nine telomere-associated genes (TERT, TEP1, TERF1, TERF2, TERF21p, ACD, POT1, TNKS and TNKS2) in 782 incident BC cases and 1559 matched controls. Relative telomere length (RTL) varied statistically significantly between the genotypes of the SNPs rs446977 (TEP1, p = 0.04), rs938886 (TEP1, p = 0.04) and rs6990097 (TNKS, p = 0.04). However, none of them was associated with BC susceptibility and only rs6990097 correlated with regional lymph node metastasis (odds ratio (OR) 1.38, 95% confidence interval (CI) 1.08-1.77). The strongest association with BC susceptibility was observed for rs3785074 (TERF2, OR 0.51, 95% CI 0.31-0.83) and rs10509637 (TNKS2, OR 1.33, 9S% CI 1.08-1.62). Haplotype and diplotype analysis confirmed the association of the TNKS2 gene with BC susceptibility. rs3785074 (TERF2) was additionally associated with histologic grade (OR 1.44, 95% CI 1.08-1.92) and negative oestrogen receptor status (OR 2.93, 95% CI 1.13-7.58). None of the SNPs showed a significant correlation with survival of the breast cancer patients. With these results, none of the SNPs represents any valuable prognostic marker for BC. (C) 2009 Elsevier Ltd. All rights reserved.
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