Abstract

PREDICTIVE PLASMA BIOMARKERS FOR CARCINOMA OF CERVIX

Geethakumari Konathala, Ramesh Mandarapu* and Sudhakar Godi

Abstract

Cervical cancer is twelfth most common and the second deadliest cancer in women. About 80% of which occurs in developing countries, where the disease is also the leading cause of cancer-related death among women. Out of which, 20% of all cervical cancers occur in India with 75% of advanced stages. Thus carcinoma of the uterine cervix is the commonest malignancy to affect the female population in India. The main objective of the present study is to find any association between cervical cancer and biochemical genetic markers like Plasma proteins - Haptoglobin [HP] and Group specific component [GC] systems. In the present study, 150 cases (females) presenting Cervical cancer and same number of age and sex matched healthy controls were included. The plasma protein markers HP and GC systems were typed using standard acrylamide gel electrophoresis. The statistical significance of differences between patients and controls were tested. Analysis of the data was carried out using Epi Info 5 software. Pooled odds ratios and relative risk were calculated by the random-effects method. Multifactor Dimensionality Reduction (MDR) analysis was performed using MDR software (v. 3.0.2). The results revealed that the inter group heterogeneity was found to be a significant value, when observed between cervical cancer patients and controls in HP and GC systems. Test of association of HP gene polymorphism showed a highly significant association in dominant model with cervical cancer. A significant association between GC gene polymorphism and cervical carcinoma was observed in homozygote and heterozygote comparison and in recessive model. The risk estimates for all combinations is

Keywords: Genetic Polymorphisms, Biomarkers, Association, Haptoglobin, Group Specific Component.