These findings suggest that genetic polymorphisms in the DNA repair genes may modulate overall lung cancer susceptibility and that pathological stage and XRCC1 Arg399Gln independently predicted overall survival among Indian lung cancer patients.

Susceptibility to lung cancer has been shown to be modulated by inheritance of polymorphic genes encoding cytochrome P450 1A1 (CYP1A1) and glutathione S transferases (GSTM1 and GSTT1), which are involved in the bioactivation and detoxification of environmental toxins. As the incidence of lung cancer is known to differ according to ethnicity, we have conducted a case-control study of 146 South Indian lung cancer patients along with 146 healthy controls, to assess any association between CYP1A1, GSTM1 and GSTT1 polymorphisms, either separately or in combination, with the likelihood of development of lung cancer in our population. The current weight of evidence from our study indicated that the frequency of CYP1A1 MspI homozygous variant alleles was significantly higher in cases (OR=3.178). We observed a considerable difference in the GSTT1 null deletion frequency in this population when compared with other populations (OR=2.472, 95% CI: 1.191-5.094, P=0.014). There was no relative risk in GSTM1 null genotype when analysed singly (P=0.453). Considering genotype combinations, risk of lung cancer increased remarkably significantly in individuals having one variant allele of CYP1A1, GSTM1, or GSTT1, suggesting gene-gene interactions. Rare genotypic combinations (such as CYP1A1 wild GSTM1 or GSTT1 either null; CYP1A1 variant both GSTM1 and GSTT1 present; CYP1A1 variant GSTM1 or GSTT1 either null), were at higher risk compared to the reference group. Moreover, patients who had smoked <20 pack years and harboured the CYP1A1 variant allele or the GSTT1 null genotype also had a significant risk of lung cancer. Hence our study-the first to analyse a South Indian population-suggests the importance of combined CYP1A1, GSTM1 and GSTT1 polymorphisms in the development of smoking-induced lung cancer.

Identifying genes associated with familial inheritance of breast cancer continues to be a major goal of current research as the known high penetrance genes could be attributable for only a small percentage of the risk. So, it is hypothesized that the low penetrance genes may also modify the risk for familial breast cancer. In the present case-control study, undertaken to examine the influence of polymorphisms of GSTs in familial and sporadic breast cancer susceptibility, 597 women including 222 sporadic breast cancer patients, 125 familial breast cancer patients and 250 females with no history of cancer as controls were genotyped by PCR based methods. Odds Ratios (ORs) and 95% Confidence Intervals (95%CIs) were calculated by unconditional logistic regression adjusted to age. Interestingly, GSTM1 deletion was found to be significantly associated only with familial breast cancer (OR = 2.0; 95%CI = 1.252-3.128) while GSTT1 was associated only with sporadic breast cancer (OR = 2.3; 95%CI = 1.336-3.970). GSTP1 Ile105Val polymorphism was associated neither with sporadic nor familial breast cancer susceptibility (P value > 0.05). The GST genotypes did not have any effect on the survival of both familial and sporadic breast cancer patients. However, familial breast cancer patients with GSTM1 null genotype had a relative risk of 0.42 (95%CI = 0.18-0.97) for an advanced disease stage. The results indicate that, in addition to the known high penetrance genes, certain low penetrance genes may also play a role, in the familial inheritance of breast cancer. It is also noticed that all the polymorphisms associated with sporadic breast cancer are not associated with familial breast cancer.

In response to many forms of cellular stress, including DNA damage, the p53 protein functions to induce growth arrest, DNA repair, or apoptosis. Common allele variants in the TP53 gene modulate pathways of lung carcinogenesis and susceptibility to or prognosis of lung cancer. The prognostic role of the polymorphism was assessed in 422 subjects using PCR-RFLP. Logistic regression analysis showed a dominant presentation of Pro/Pro homozygotes in lung carcinoma population than in control population (OR = 2.1, P = 0.003). We further investigated the association of p53 codon 72 polymorphism with prognosis in 170 lung cancer patients. Kaplan-Meier survival analyses showed a significant difference in survival between p53 variant genotypes and overall survival (P = 0.02). Cox regression analysis showed p53 Arg72Pro heterozygous genotype was overall an independent prognostic factor (Risk ratio of death, 2.2; P = 0.02), suggesting Pro72Pro genotype to be a potential risk factor favoring the development of lung carcinoma and that Arg72Pro genotype is independently associated with a poorer prognosis of lung cancer.

This case control study investigated whether polymorphisms of estrogen metabolizing genes CYP1A1 MspI, CYP17 MspAI, COMT Val(158) Met, and SULT1A1 Arg(213) His have any role in familial breast cancer susceptibility risk. Logistic regression analysis adjusted to age was used to calculate odds ratios (ORs) and 95% confidence intervals (95%CIs). Familial breast cancer risk due to CYP1A1 wt/m1 and m1/m1 genotypes was 2.3 (1.51-3.61)-fold and 7.1 (3.69-13.7)-fold, respectively. In addition to the main effects, certain first-order interactions were also significantly associated with familial breast cancer. Our results favor a possible risk modification by estrogen metabolizing gene polymorphisms in familial breast cancer susceptibility.