The C3435T polymorphism of the human multidrug resistance gene (MDR1) and the risk of gastric cancer in a brazilian population: case-control study

• Grant number: 10/19715-1
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2011
• End date: August 31, 2013
• Field of knowledge: Biological Sciences - Biochemistry - Molecular Biology
• Principal Investigator: Nora Manoukian Forones
• Grantee: Nora Manoukian Forones
• Host Institution: Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil
• Associated researchers: Juliana de Oliveira

Abstract

Gastric cancer (GC) stands out as the second most common cause of cancer death worldwide. The P-glycoprotein is a product of the gene encoding multidrug transporter-1 (MDR1) confers resistance to multiple anticancer agents, but also affects the kinetic disposition of some drugs and carcinogens. The MDR1 gene polymorphism C3435T in the region can influence the development of various cancers, because it is directly related to the transport of carcinogens. Since recent research involved in this gene polymorphism and risk of neoplasia in other countries have been widespread, this project aims to determine a genetic profile in our population, since it has not yet found in the literature. Objective: This project aims to clarify the association between the C3435T polymorphism in the promoter region of the MDR1 gene and the risk of GC. Patients and Methods: A case control study wil be done. A 100 patients with GC treated by the gastro-oncology and 200 individuals without cancer (control group) will be evaluated. Genotyping will be performed by PCR-RFLP method in conditions unique to thermal cycling. The amplified product of 248pb will get digested by the restriction enzyme Mbo-I. All genotyping will be displayed on 3% agarose gel with ethidium bromide after electrophoresis. The data will be recorded in medical records with regard to recurrence of the tumor, or disease-free follow or even deaths. Later, the data obtained will be statistically analyzed and correlated with genotypic profile, thus, be inferred indirectly the efficiency of treatment and the risk of GC. (AU)