Análise do padrão de metilação de DNA de sequências LINE1 e dos genes SFRP1, SFRP2 e TP73 na inflamação crônica periodontal e câncer de boca

Abstract

The association between inflammation and cancer has always been sought by researchers. Nowadays, there are evidences of the role of the inflammatory microenvironment in tumorigenesis. Among the most common types of cancer, oral cancer is the sixth type that causes more deaths worldwide. The factors that lead to the development of an oral cancer are varied, depending on an accumulation of mutations that lead to genetic and epigenetic alterations of the affected cells, and these changes directly influence the prognosis of the disease. In recent years epigenetic have been widely studied in this field of researchs, and several genes have been described as markers for different types of tumors. Among the most studied epigenetic changes there is the DNA methylation in areas with large concentrations of the cytokine that precedes guanine (CpG), these regions are called CpG islands. GpC islands are fairly common in the promoter regions of the genes, being the methylation a control mechanism of gene level transcripts and it can even silence the expression of a gene. In the case of tumor suppressor genes this silencing can lead to uncontrolled tumor growth. The aim of this study was to analyse the DNA methylation status of LINE1 sequences and specific genes (SFRP1, SFRP2 e TP73) from human tissue collected from gingival normal tissue from patients underwent aesthetic surgery, patients with cronic periodontitis and patients with oral squamous cell carcinoma (OSCC). The extracted DNA was analysed by Combined Bisulfite Restriction Analysis (COBRA) submitting the DNA to bisulfite conversion by MethylSEQrBisulfiteConversion Kit from homogenized and microdissected tissues. Through qPCR technique, samples from gingival tissue and OSCC were subjected to RNA expression analysis of candidate genes. The results of COBRA analysis of genes exhibited an imbalance in methylation state of inflamed and tumor tissues. However, the CpG regions analyzed have not shown to be directly related to the level of expression of these genes. The results of the analysis of the global methylation (LINE1) of the homogenized tissue compared with microdissected samples showed that the x obtained data may be contradictory to the real one and may interfere in the prognosis of the patient. This inconsistency is probably due to contamination of tumor tissue by adjacent tissues. Statistical analysis of results was performed by Kruskal-Wallis test and Pearson correlation at the 5% confidence level. Changes in DNA methylation pattern of the genes studied are found in both inflamed tissues as oral cancer samples. The choice of methodology for the analysis of these tissues can influence results, and consequently generating false negative results affecting the treatment of disease.