IQUIBICEN   23947
INSTITUTO DE QUIMICA BIOLOGICA DE LA FACULTAD DE CIENCIAS EXACTAS Y NATURALES
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
ANALYSIS OF APOPTOSIS RELATED GENES IN THE DEVELOPMENT AND PROGRESSION OF PROSTATE CANCER
Autor/es:
CONRADO OLIVIERI; GERALDINE GUERON; ELBA VAZQUEZ; FEDERICO CANTOR; COTIGNOLA JAVIER
Lugar:
Mar del Plata
Reunión:
Congreso; Sociedad argentina de investigacion clinica; 2016
Resumen:
Evasion of apoptosis is considered one of the hallmar s of cancer cells. However, it is now known that apoptotic cells can release factors that influence the proliferation, survival, movement and morphogenesis of neighboring cells and tissues. rostate Cancer Ca is one of the most studied tumors in the last decade, and there is a growing interest in understanding the role of apoptosis during PCa development and progression. We aimed to analyze the expression of genes involved in apoptosis using gene expression microarrays and RNAseq data from public repositories. We included different prostate tissues in the analysis healthy normal, adjacent non tumoral, primary tumor and metastasis . e found that several genes coding for proteasome subunits e.g. PSMA3 , PSMB5 , PSMD4 Were significantly under expressed in the adjacent non tumoral and primary tumor tissues compared to the healthy normal tissue. Statistical significant differences in PSMS proteins were not observed between primary tumor and adjacent non-tumoral tissues. These results suggest that PSM proteins might be an early event during PCa development. RNAseq experiments allowed us to compare the expression of apoptosis related gene between different clinico pathological features tumor stage, biochemical relapse (BCR) and Gleason score . We found genes ith differential expression between patients with and without BCR . The top deregulated genes were BAD fold change FC . , p . x , FC . , p . x - and T A FC . , p . x . Finally, we performed ROC ( receiver operating Characteristics ) analysis to determine whether the inclusion of expression profiles improves BCR prognosis. The Area under Curve (AUC) as . hen the pre surgical SA and leason score ere considered. hen e added the gene expression in the models, the A Cs ere . A and . A . This results suggest the analysis of apoptosis related genes expression could improve the prognostic of Ca relapse.