Abstract

e15532 Background: Interleukine (IL) 10 –592C/A and IL8 –251T/A polymorphisms previous showed an important role in cell proliferation, cell migration and angiogenesis. Therefore, we conduct a study in order to assess the role of those genetic polymorphisms as prognostic biomarkers in epithelial ovary cancer (EOC). Methods: Design: Retrospective study from 1996 to 2010. Setting: Histological confirmed EOC patients treated at our institution. Laboratory: Genotyping of IL10–592 C/A and IL8 -251T/A were performed by PCR-RFLP. DNA samples were obtained from patients’ peripheral blood. Statistical analysis: Logistic regression were used to calculate odds ratio (OR) and 95% confidential interval (95% CI). Overall survival (OS) and progression-free-survival (PFS) were performed using Kaplan-Meier analysis. Statistical significance was considered for p < 0.05. Results: It was recruited 156 participants. Median age was 53 (16 – 80) years-old. Genotype frequency distribution for IL8-251 were T/T (50%), T/A (50%) and for IL10–592, C/C (53.8%), C/A (39.7%), A/A (6.4%). These follow genotypes were associated with lymph node, pelvic and peritoneal relapse: IL10–592C/A (OR 0.229, 95% CI: 0.055 – 0.943, p = 0.041) and IL8–251T/A (OR 6.667, 95% CI: 1.359 – 32.701, p = 0.019). In overall, IL8–251T/A genotype had higher OS than IL8-251T/T genotype: 115 versus 95 months, p = 0.010. In clear cell tumors (CCT), IL8–251T/A genotype had less OS than IL8-251T/T genotype: 92 versus 107 months, p = 0.004. To IL10–592 genotypes, OS were 104 (A/A), 107 (C/A), 103 (C/C) months, p = 0.637, and PFS were 9 (A/A), 14 (C/A), 20 (C/C) months, p = 0.057. However, in CCT, PFS for IL10–592 genotypes were 4 (A/A), 56.73 (C/A), 20 (C/C) months, p = 0.023. Conclusions: Our results suggest that IL8–251T/A polymorphism could represent a prognostic biomarker in overall EOC. IL10–592C/A polymorphisms are associated with relapse and PFS mainly in CCT. Nevertheless, furthers prospective studies are warranted in order to assess its role in pharmacogenomics framework.

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