| Literature DB >> 17945002 |
Sailesh Gochhait1, Syed Irfan Ahmad Bukhari, Narendra Bairwa, Shivani Vadhera, Katayoon Darvishi, Mohammad Raish, Pawan Gupta, Syed Akhtar Husain, Rameshwar N K Bamezai.
Abstract
INTRODUCTION: The absence of mutation or promoter hypermethylation in the BRCA2 gene in the majority of breast cancer cases has indicated alternative ways of its involvement, deregulated expression being one possibility. We show how a polymorphism in the 5' untranslated region (UTR) of BRCA2 can serve as one such factor. Based on the hypothesis that variants of genes involved in the same pathway can influence the risk provided for breast cancer, the status of p53 codon 72 polymorphism was also investigated and a possible interaction between the polymorphisms was examined.Entities:
Mesh:
Substances:
Year: 2007 PMID: 17945002 PMCID: PMC2242669 DOI: 10.1186/bcr1780
Source DB: PubMed Journal: Breast Cancer Res ISSN: 1465-5411 Impact factor: 6.466
Figure 1Reporter gene assay with chimeric BRCA2 promoter and 5' untranslated region (UTR) with A or G at the -26 position (upper panel) and the effect of increasing the dose of adriamycin (0, 1, and 2.5 μM) (lower panel).
Figure 2Effect of -26 G/A polymorphism on the 5' untranslated region secondary structure of RNA and stability analyzed by the RNAstructure program (version 4.3) and VRNAAFOLD (The European Molecular Biology Open Software Suite). The -26 position with G or A is indicated by arrows.
Genotype and allele frequencies of BRCA2 -26 and p53 codon 72 polymorphisms in sporadic breast cancer patients and normal controls
| Genotypes | Patients | Controls | OR (95% CI)d | |||
| G/G | 144 (59.3%) | 157 (47.1%) | - | 1.0 (referent) | ||
| G/A | 74 (30.5%) | 152 (45.6%) | 0.0005e | 0.5 (0.4–0.8) | ||
| A/A | 25 (10.3%) | 24 (7.2%) | 0.002, 0.116 | 0.001 | 0.677 | 1.1 (0.6–2.1) |
| G | 74.50% | 70.00% | 0.092 | 1.2 (1.0–1.6) | ||
| Pro/Pro | 48 (19.8%) | 97 (29.1%) | - | 1.0 (referent) | ||
| Pro/Arg | 109 (44.9%) | 160 (48.0%) | 0.119 | 1.4 (0.9–2.1) | ||
| Arg/Arg | 86 (35.4%) | 76 (22.8%) | 0.210, 0.521 | 0.001 | 0.0005e | 2.3 (1.4–3.6) |
| Pro | 42.20% | 53.20% | 0.0002e | 0.6 (0.5–0.8) | ||
aP value for Hardy-Weinberg equilibrium testing. bP value for 3 × 2 chi-square test of comparison of overall genotype frequencies between breast cancer patients and controls. c,dP values and corresponding age-adjusted ORs with 95% CIs for comparison of genotype frequencies between breast cancer patients and controls by logistic regression (not adjusted for age in allele frequency comparisons); the referent genotypes were considered on the basis of highest proportion of a homozygous genotype at any particular locus in the control group. eP values continue to remain significant after applying Bonferroni correction of 2 (2 single-nucleotide polymorphisms tested in a case-control group) to correct for multiple comparisons. CI, confidence interval; OR, odds ratio.
Figure 3Comparison of allelic imbalance in chromosomes 16 and 17 along with mutation in p53 with -26 G>A polymorphism background. P values given are for overall distribution, G/G versus G/A, and A/A versus G/A.
Interaction between the polymorphisms: p53 codon 72 and BRCA2 -26 in sporadic breast cancer patients and normal controls
| Genotypic combination | Patients | Controls | |||
| OR (95% CI)b | |||||
| Pro/Pro | G/G | 38 (15.63%) | 45 (13.51%) | - | 1 (referent) |
| Pro/Pro | G/A | 7 (2.88%) | 46 (13.81%) | 0.0002c | 0.2 (0.1–0.4) |
| Pro/Pro | A/A | 3 (1.23%) | 6 (1.80%) | 0.476 | 0.6 (0.1–2.5) |
| Pro/Arg | G/G | 59 (24.27%) | 78 (23.42%) | 0.686 | 0.9 (0.5–1.5) |
| Pro/Arg | G/A | 38 (15.64%) | 68 (20.42%) | 0.166 | 0.7 (0.4–1.2) |
| Pro/Arg | A/A | 12 (4.94%) | 14 (4.20%) | 0.983 | 1.0 (0.4–2.4) |
| Arg/Arg | G/G | 47 (19.34%) | 34 (10.21%) | 0.120 | 1.6 (0.9–3.0) |
| Arg/Arg | G/A | 29 (11.93%) | 38 (11.41%) | 0.754 | 0.9 (0.5–1.7) |
| Arg/Arg | A/A | 10 (4.11%) | 4 (1.20%) | 0.087 | 3.0 (0.9–10.2) |
a,bP values and corresponding age-adjusted ORs with 95% CIs for comparison of combination of genotype frequencies between breast cancer patients and controls by logistic regression. cP values continue to remain significant after applying Bonferroni correction of 9 (9 combinations tested in a case-control group) to correct for multiple comparisons. CI, confidence interval; OR, odds ratio.