IIBBA   05544
INSTITUTO DE INVESTIGACIONES BIOQUIMICAS DE BUENOS AIRES
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Models to predict Total Mutational Burden in Cancer
Autor/es:
ELIZABETH MARTÍNEZ-PÉREZ; CRISTINA MARINO BUSLE
Lugar:
Mendoza
Reunión:
Congreso; !0 Congreso de la Asociación Argentina de Bioinformática y Biología Computacional; 2019
Institución organizadora:
Asociación Argentina de Bioinformática y Biología Computacional
Resumen:
Immune checkpoint inhibitor treatment is a promising therapy as it proved effective in a subset of patients. It has been observed that a high number of non synonymous somatic mutations (NSM), also known as total mutational burden (TMB), correlates with a good response to checkpoint inhibitors in melanoma and lung. NSM can generate neoantigens, which, in turn, can be recognized by the immune system, triggering an anticancer immune response. While treating cancer with immunotherapy can be highly effective, only some patients respond to this treatment, so, there is a great interest to discriminate patients most likely to benefit from this therapy. The goal of that work is to provide the subset of genes or exons needed to be sequenced in order to predict the TMB.