Background: Cervical cancer is the second most common cancer among women after breast cancer. Its standard treatment is cisplatin-based concomitant chemoradiotherapy. Chronic inflammation in uterine cervix triggers both pro- and anti-inflammatory pathways. The unpredictability in toxicity and efficacy of treatment is a major challenge. We hypothesized a link between IL-1, IL-6 and TNF gene variants and treatment response. Material & Methods: We genotyped 246 cervical cancer cases and 246 controls by PCR, PCR-RFLP and ARMS-PCR. Treatment and response were evaluated by RECIST criteria. Chemotherapy and radiation doses were same for all patients, whilst 48 were followed-up for 36 months after treatment. Results: SNPs in IL-1RN, IL-1β, IL-6 and TNFα were linked with cervical cancer. Cases with certain allele combinations in IL-1RN, IL-1β, IL-6(-597A/G) and TNF-α showed odds ratios (95% CI) of up to 17.54 (2.7–24.08) for the presence of cervical cancer. Variant IL-1β (-511T/C) was linked to vital status but none were linked to overall survival. Conclusion: Certain cytokine gene variants may help detect susceptibility to cervical cancer and predict response to chemoradiotherapy.

Background: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 diabetes mellitus (T2DM) provides an opportunity for identifying gene variants and risk genotypes. We hypothesised that certain antioxidant gene-gene interactions are linked with T2DM and can model disease risk prediction. Materials and methods: Genotyping of single nucleotide polymorphisms (SNPs) in antioxidant genes for glutathione (GST), glutathione peroxidase (GPx), superoxide dismutase (SOD) and catalase (CAT) was performed in 558 T2DMs and 410 age and sex matched healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), routine lab indices by standard techniques. Results: The null/null allele combination of GSTM1del and GSTT1del increased disease risk up to 1.7-fold. The combination of SNPs in GSTM1del, GSTT1del, GSTP1 + 313A/G and in CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T increased the risk of diabetes 13.5 and 2.1-fold, respectively. Interaction of SNPs GSTM1del, GSTT1del, GSTP1 + 313A/G (105Ile/Val), CAT-21A/T, SOD2 + 47C/T, GPx1 + 599C/T were significantly linked with disease risk >5 × 10³ fold. Conclusion: As the number of gene combinations increase, there is a rise in the odds ratio of disease risk, suggesting that gene-gene interaction plays an important role in T2DM susceptibility. Individuals who possess the GSTM1del, GSTT1del, GSTP1 105I/V(+313A/G), CAT-21A/T, SOD2 + 47C/T and GPx1 + 599C/T are at very high risk of developing T2DM.