Cargando…

Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma

Clear cell Renal Cell Carcinoma (ccRCC) is due to loss of von Hippel–Lindau (VHL) gene and at least one out of three chromatin regulating genes BRCA1-associated protein-1 (BAP1), Polybromo-1 (PBRM1) and Set domain-containing 2 (SETD2). More than 350, 700 and 500 mutations are known respectively for...

Descripción completa

Detalles Bibliográficos
Autores principales: Piva, Francesco, Giulietti, Matteo, Occhipinti, Giulia, Santoni, Matteo, Massari, Francesco, Sotte, Valeria, Iacovelli, Roberto, Burattini, Luciano, Santini, Daniele, Montironi, Rodolfo, Cascinu, Stefano, Principato, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741666/
https://www.ncbi.nlm.nih.gov/pubmed/26452128
_version_ 1782414042856423424
author Piva, Francesco
Giulietti, Matteo
Occhipinti, Giulia
Santoni, Matteo
Massari, Francesco
Sotte, Valeria
Iacovelli, Roberto
Burattini, Luciano
Santini, Daniele
Montironi, Rodolfo
Cascinu, Stefano
Principato, Giovanni
author_facet Piva, Francesco
Giulietti, Matteo
Occhipinti, Giulia
Santoni, Matteo
Massari, Francesco
Sotte, Valeria
Iacovelli, Roberto
Burattini, Luciano
Santini, Daniele
Montironi, Rodolfo
Cascinu, Stefano
Principato, Giovanni
author_sort Piva, Francesco
collection PubMed
description Clear cell Renal Cell Carcinoma (ccRCC) is due to loss of von Hippel–Lindau (VHL) gene and at least one out of three chromatin regulating genes BRCA1-associated protein-1 (BAP1), Polybromo-1 (PBRM1) and Set domain-containing 2 (SETD2). More than 350, 700 and 500 mutations are known respectively for BAP1, PBRM1 and SETD2 genes. Each variation damages these genes with different severity levels. Unfortunately for most of these mutations the molecular effect is unknown, so precluding a severity classification. Moreover, the huge number of these gene mutations does not allow to perform experimental assays for each of them. By bioinformatic tools, we performed predictions of the molecular effects of all mutations lying in BAP1, PBRM1 and SETD2 genes. Our results allow to distinguish whether a mutation alters protein function directly or by splicing pattern destruction and how much severely. This classification could be useful to reveal correlation with patients’ outcome, to guide experiments, to select the variations that are worth to be included in translational/association studies, and to direct gene therapies.
format Online
Article
Text
id pubmed-4741666
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Impact Journals LLC
record_format MEDLINE/PubMed
spelling pubmed-47416662016-03-03 Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma Piva, Francesco Giulietti, Matteo Occhipinti, Giulia Santoni, Matteo Massari, Francesco Sotte, Valeria Iacovelli, Roberto Burattini, Luciano Santini, Daniele Montironi, Rodolfo Cascinu, Stefano Principato, Giovanni Oncotarget Research Paper Clear cell Renal Cell Carcinoma (ccRCC) is due to loss of von Hippel–Lindau (VHL) gene and at least one out of three chromatin regulating genes BRCA1-associated protein-1 (BAP1), Polybromo-1 (PBRM1) and Set domain-containing 2 (SETD2). More than 350, 700 and 500 mutations are known respectively for BAP1, PBRM1 and SETD2 genes. Each variation damages these genes with different severity levels. Unfortunately for most of these mutations the molecular effect is unknown, so precluding a severity classification. Moreover, the huge number of these gene mutations does not allow to perform experimental assays for each of them. By bioinformatic tools, we performed predictions of the molecular effects of all mutations lying in BAP1, PBRM1 and SETD2 genes. Our results allow to distinguish whether a mutation alters protein function directly or by splicing pattern destruction and how much severely. This classification could be useful to reveal correlation with patients’ outcome, to guide experiments, to select the variations that are worth to be included in translational/association studies, and to direct gene therapies. Impact Journals LLC 2015-10-07 /pmc/articles/PMC4741666/ /pubmed/26452128 Text en Copyright: © 2015 Piva et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Piva, Francesco
Giulietti, Matteo
Occhipinti, Giulia
Santoni, Matteo
Massari, Francesco
Sotte, Valeria
Iacovelli, Roberto
Burattini, Luciano
Santini, Daniele
Montironi, Rodolfo
Cascinu, Stefano
Principato, Giovanni
Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma
title Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma
title_full Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma
title_fullStr Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma
title_full_unstemmed Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma
title_short Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma
title_sort computational analysis of the mutations in bap1, pbrm1 and setd2 genes reveals the impaired molecular processes in renal cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741666/
https://www.ncbi.nlm.nih.gov/pubmed/26452128
work_keys_str_mv AT pivafrancesco computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT giuliettimatteo computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT occhipintigiulia computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT santonimatteo computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT massarifrancesco computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT sottevaleria computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT iacovelliroberto computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT burattiniluciano computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT santinidaniele computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT montironirodolfo computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT cascinustefano computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma
AT principatogiovanni computationalanalysisofthemutationsinbap1pbrm1andsetd2genesrevealstheimpairedmolecularprocessesinrenalcellcarcinoma