Analysis of polymorphisms in coding regions of LAMP3 gene and its possible association with cervical cancer

• Grant number: 12/01922-6
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2012
• End date: June 30, 2014
• Field of knowledge: Health Sciences - Medicine - Maternal and Child Health
• Principal Investigator: Ismael Dale Cotrim Guerreiro da Silva
• Grantee: Ismael Dale Cotrim Guerreiro da Silva
• Host Institution: Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil

Abstract

LAMP3 (Lysosomal-associated membrane protein 3) gene also known as DC-LAMP, TSC403 or DC208 is responsible for immune response, in particular when it comes to antiviral response. It is located on chromosome 3q26.3-q27 and this region is amplified in invasive tumors of cervical cancers and in high-grade intra-epithelial lesions (NIC2 and NIC3) that precedes it. The altered expression is associated with an increased metastatic potential and with worse prognosis not only in cervical cancer but also in breast cancer. Although this gene has its role in the process of carcinogenesis evaluated, no study has sought to identify the role of polymorphisms in this gene and its possible association with risk of developing cervical cancer. Objectives: To assess the possible association between LAMP3 gene polymorphisms with the risk of appearance of cervical cancer. Methodologies: It will be studied nine different genetic polymorphisms present in coding regions of the LAMP3 in 500 women, with and without cervical cancer matched for age and race. DNA will be extracted and purified respectively, by means of Trizol reagent (Invitrogen) and by the RNeasy extraction kit (Qiagen). The polymorphisms will be identified and analyzed using specific assays and TaqMan Master Mix (Applied Biosystems). The Hardy-Weinberg Equilibrium and allelic frequencies will be compared using the Chi-square (X2) or the Fisher Exact Test. The odds ratio (O.D.) will be derived from the logistic regression model and for all tests the significance level will be set at p<0.05. (AU)