Polymorphisms in DNA repair genes and breast cancer risk in Russian population: a case-control study.

Genetic variation in DNA repair genes can alter an individual's capacity to repair damaged DNA and influence the risk of cancer. We tested seven polymorphisms in DNA repair genes XRCC1, ERCC2, XRCC3, XRCC2, EXOI and TP53 for a possible association with breast cancer risk in a sample of 672 case and 672 control Russian women. An association was observed for allele A of the polymorphism XRCC1 (R399Q) rs25487 (co-dominant model AA vs. GG: OR 1.76, P = 0.003; additive model OR 1.28, P = 0.005; dominant model: OR 1.29, P = 0.03; recessive model OR 1.63, P = 0.008). Allele T of the polymorphism ERCC2 (D312N) rs1799793 was also associated with breast cancer risk (co-dominant model TT vs. CC: OR 1.43, P = 0.04; additive model OR 1.21, P = 0.02; dominant model: OR 1.30, P = 0.02), but the association became insignificant after applying Bonferroni correction. No association with breast cancer was found for the remaining SNPs. In summary, our study provides evidence that polymorphisms in DNA repair genes may play a role in susceptibility to breast cancer in the population of ethnical Russians.

Massive Parallel Sequencing for Diagnostic Genetic Testing of BRCA Genes--a Single Center Experience.

The aim of this study was to implement massive parallel sequencing (MPS) technology in clinical genetics testing. We developed and tested an amplicon-based method for resequencing the BRCA1 and BRCA2 genes on an Illumina MiSeq to identify disease-causing mutations in patients with hereditary breast or ovarian cancer (HBOC). The coding regions of BRCA1 and BRCA2 were resequenced in 96 HBOC patient DNA samples obtained from different sample types: peripheral blood leukocytes, whole blood drops dried on paper, and buccal wash epithelia. A total of 16 random DNA samples were characterized using standard Sanger sequencing and applied to optimize the variant calling process and evaluate the accuracy of the MPS-method. The best bioinformatics workflow included the filtration of variants using GATK with the following cut-offs: variant frequency >14%, coverage (>25x) and presence in both the forward and reverse reads. The MPS method had 100% sensitivity and 94.4% specificity. Similar accuracy levels were achieved for DNA obtained from the different sample types. The workflow presented herein requires low amounts of DNA samples (170 ng) and is cost-effective due to the elimination of DNA and PCR product normalization steps.

TERT polymorphisms rs2853669 and rs7726159 influence on prostate cancer risk in Russian population.

Telomere length and telomerase activity have been hypothesized to play a role in cancer development. The aim of our study was to investigate the association of allelic variants of three functional polymorphisms rs2853669, rs2736100, and rs7726159 in the telomerase reverse transcriptase (TERT) gene with the risk of the breast cancer and prostate cancer in Russian population. Six hundred sixty women with breast cancer, 372 men with prostate cancer, and corresponding control groups of 523 women and 363 men were included in the present case-control study. We observed an association of allele rs2853669 C with increased risk of prostate cancer (co-dominant model TC vs. TT OR = 1.65, P = 0.002; additive model OR = 1.42, P = 0.005; dominant model: OR = 1.64, P = 0.001) and allele rs7726159 A with reduced risk of this malignancy (сo-dominant model: AA vs. CC OR = 0.42, P = 0.002; additive model: OR = 0.69, P = 0.002; dominant model: OR = 0.67, P = 0.01; recessive model: OR = 0.48, P = 0.005). None of the studied polymorphisms showed an association with the risk of breast cancer. Our results provide evidence that the TERT gene variability modulate prostate cancer predisposition in ethnical Russians.

A replication study examining association of rs6983267, rs10090154, and rs1447295 common single nucleotide polymorphisms in 8q24 region with prostate cancer in Siberians.

INTRODUCTION: Multiple genetic studies have confirmed association of 8q24 variants with susceptibility to prostate cancer (CaP). However, the risk conferred in men living in Russia is unknown. MATERIALS AND METHODS: In this work we studied the association of rs6983267, rs10090154, and rs1447295 single nucleotide polymorphisms (SNPs) with a risk of CaP development in men of Caucasoid descent living in the Siberian region of Russia. Three 8q24 SNPs were genotyped by real-time polymerase chain reaction in histologically confirmed CaP "cases" (n = 392) and clinically evaluated "controls" (n = 344). To evaluate the SNP effects on CaP susceptibility, odds ratio (OR) and confidence interval (CI) 95% were calculated. Allele and genotype frequencies in the groups were compared using logistic regression; differences were considered statistically significant if P<0.05. RESULTS: We showed statistically significant association of the A allele of rs1447295 (OR [CI 95%] = 1.96 [1.37-2.81], P<0.0001) and the T allele of rs10090154 (OR [CI 95%] = 2.14 [1.41-3.26], P<0.0001) with CaP. The T-A rs10090154 to rs1447295 haplotype was also associated with CaP (OR [CI 95%] = 2.47 [1.59-3.85], P<0.0001). There was no significant association with the T allele of rs6983267: OR [CI 95%] = 0.9 [0.73-1.11], P> 0.05. CONCLUSION: Thus, our investigation confirms the role of chromosomal region 8q24 in the development of CaP in the Russian population.

Polymorphisms in the folate-metabolizing genes MTR, MTRR, and CBS and breast cancer risk.

Alterations in the nucleotide sequences of folate-metabolizing genes can increase the risk of malignant transformation. The aim of our study was to investigate the association of three single-nucleotide polymorphisms (SNPs) in the folate-metabolizing genes - A2756G MTR, A66G MTRR, and 844ins68 CBS - which have putative functional significance in breast cancer risk. The allele and genotype frequencies of the SNPs were determined in a case group (840 women with sporadic breast cancer) and a control group (770 women). No statistically significant association of studied SNPs with breast cancer was revealed. A meta-analysis, which included data obtained from the literature and the present research, did not reveal any statistically significant associations of these SNPs with breast cancer. The results obtained provide evidence that these SNPs are not involved in the development of breast cancer.