Análise da expressão de RNAs não codificantes longos em linhagens de câncer de mama triplo negativo utilizando ferramentas de Bioinformática

Abstract

Triple-negative breast cancer (TNBC) is a highly aggressive neoplasm, characterized by rapid dissemination and unfavorable prognosis, especially in young women. The lack of effective targeted therapies makes its pathogenesis a crucial focus of research. Recent studies have highlighted the role of long non -coding RNAs (lncRNAs) in the development and progression of TNBC, influencing various stages of tumorigenesis. These lncRNAs modulate tumor growth, proliferation, invasion, angiogenesis, and metastasis by controlling genes and metabolic networks. Understanding these molecules and their association with TNBC phenotype and prognosis is essential. This study identified lncRNAs associated with TNBC, using bioinformatics tools for in sílico genomic analysis of large transcriptomic datasets. The CPC2, AnnoLNC2, and PLEK platforms were employed to identify and characterize lncRNAs expressed in TNBC. Through them it would be possible to identify new lncRNAs not previously described. The results of the present study reached machine configuration limits before they could be completed. Therefore, despite initial progress, it is necessary to overcome these limitations presented here to specifically investigate the role of lncRNAs in TNBC and potentially pave the way for new targeted therapies and more accurate prognosis for this disease.