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In vitro evaluation of substance p on cellular proliferation and invasion of squamous cell carcinoma cells

Grant number: 12/00712-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): April 01, 2012
Effective date (End): December 31, 2012
Field of knowledge:Health Sciences - Dentistry
Principal Investigator:Elizabeth Ferreira Martinez
Grantee:Rafaella Fernanda de Moura Polido
Home Institution: Centro de Pesquisas Odontológicas São Leopoldo Mandic. Faculdade São Leopoldo Mandic (SLMANDIC). Sociedade Regional de Ensino e Saúde S/S Ltda (SRES). Campinas , SP, Brazil

Abstract

The role of tumor microenvironment in the neoplastic process has been emphasized in several studies. This is due to the fact that some components of this microenvironment such as stromal and neoplastic cells such as fibroblasts and myofibroblasts, and leukocytes, acting on the growth, differentiation and invasive behavior of tumor cells. Additionally, molecules that act as extracellular matrix metalloproteinases (MMPs), their inhibitors and growth factors can modulate cell-cell and cell-extracellular matrix, and act in regulating growth, survival and differentiation contributing to the invasion the tumor. Among the factors related to tumor progression, recent studies have also shown that substance P as an important factor for migration and invasion of tumor cells due to the synthesis and secretion of metalloproteinases, as well as the metastatic tissue. Thus, the purpose of this study is to evaluate in vitro the influence of substance P in proliferative capacity, viability and in the process of invasive squamous cell carcinoma cells. To this end, cells of squamous cell carcinoma of the tongue will be used, and the proliferative capacity, as well as cell viability is assessed at 24h, 48h, 72h and 96h. In the invasion assay, cells are plated into the upper chambers of transwells coated with Matrigel at different doses of substance P (10-8M and 10-6M), and at the bottom of the transwell, will be added to the DMEM. The variance analysis is performed by applying ANOVA followed by Tukey test.