neoANT:HILL: uma ferramenta integrada para a detecção de potenciais neoantígenos

Abstract

In recent years, neoantigens have generated great interest in immunotherapy due to its ability to elicit antitumor immune responses. Neoantigens arise from specific somatic mutations and it can be present by HLA molecules on the surface of tumor cells and recognized by T cells as non-self molecules. Several studies have indicated promising results in the use of neoantigens in different immunotherapeutic approaches. However, the precise identification of neoantigens remains challenging. Therefore, the aim of the present work was developing a computational tool that integrates the individual immunogenetics analyses, which are fundamental for the identification of potential neoantigens. RNA-seq data from GEUVADIS project and melanoma mutation data obtained from the TCGA to validate the developed pipeline. As a result, we developed a tool, called neoANT-HILL, in Python programming language and available through a friendly and interactive graphical user interface. Data from the whole genome or exome sequencing and/or RNA-Seq data are used for performing the immunogenomic analyzes. The integration of the results allows the identification of potential neoantigens candidates for immunotherapy.