Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer

Detalhes bibliográficos
Autor(a) principal: Gomig,Talita Helen Bombardelli
Data de Publicação: 2021
Outros Autores: Gontarski,Amanda Moletta, Cavalli,Iglenir João, Souza,Ricardo Lehtonen Rodrigues de, Lucena,Aline Castro Rodrigues, Batista,Michel, Machado,Kelly Cavalcanti, Marchini,Fabricio Klerynton, Marchi,Fabio Albuquerque, Lima,Rubens Silveira, Urban,Cícero de Andrade, Marchi,Rafael Diogo, Cavalli,Luciane Regina, Ribeiro,Enilze Maria de Souza Fonseca
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000100104
Resumo: Abstract Male breast cancer (MBC) is a rare malignancy that accounts for about 1.8% of all breast cancer cases. In contrast to the high number of the “omics” studies in breast cancer in women, only recently molecular approaches have been performed in MBC research. High-throughput proteomics based methodologies are promisor strategies to characterize the MBC proteomic signatures and their association with clinico-pathological parameters. In this study, the label-free quantification-mass spectrometry and bioinformatics approaches were applied to analyze the proteomic profiling of a MBC case using the primary breast tumor and the corresponding axillary metastatic lymph nodes and adjacent non-tumor breast tissues. The differentially expressed proteins were identified in the signaling pathways of granzyme B, sirtuins, eIF2, actin cytoskeleton, eNOS, acute phase response and calcium and were connected to the upstream regulators MYC, PI3K SMARCA4 and cancer-related chemical drugs. An additional proteomic comparative analysis was performed with a primary breast tumor of a female patient and revealed an interesting set of proteins, which were mainly involved in cancer biology. Together, our data provide a relevant data source for the MBC research that can help the therapeutic strategies for its management.
id SBG-1_7feea1e2d0dfee3cf70d839e31cff224
oai_identifier_str oai:scielo:S1415-47572021000100104
network_acronym_str SBG-1
network_name_str Genetics and Molecular Biology
repository_id_str
spelling Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancerMale breast cancerproteomicslabel-free mass spectrometrybioinformatics analysissignaling pathwaysAbstract Male breast cancer (MBC) is a rare malignancy that accounts for about 1.8% of all breast cancer cases. In contrast to the high number of the “omics” studies in breast cancer in women, only recently molecular approaches have been performed in MBC research. High-throughput proteomics based methodologies are promisor strategies to characterize the MBC proteomic signatures and their association with clinico-pathological parameters. In this study, the label-free quantification-mass spectrometry and bioinformatics approaches were applied to analyze the proteomic profiling of a MBC case using the primary breast tumor and the corresponding axillary metastatic lymph nodes and adjacent non-tumor breast tissues. The differentially expressed proteins were identified in the signaling pathways of granzyme B, sirtuins, eIF2, actin cytoskeleton, eNOS, acute phase response and calcium and were connected to the upstream regulators MYC, PI3K SMARCA4 and cancer-related chemical drugs. An additional proteomic comparative analysis was performed with a primary breast tumor of a female patient and revealed an interesting set of proteins, which were mainly involved in cancer biology. Together, our data provide a relevant data source for the MBC research that can help the therapeutic strategies for its management.Sociedade Brasileira de Genética2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000100104Genetics and Molecular Biology v.44 n.1 2021reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/1678-4685-gmb-2019-0410info:eu-repo/semantics/openAccessGomig,Talita Helen BombardelliGontarski,Amanda MolettaCavalli,Iglenir JoãoSouza,Ricardo Lehtonen Rodrigues deLucena,Aline Castro RodriguesBatista,MichelMachado,Kelly CavalcantiMarchini,Fabricio KleryntonMarchi,Fabio AlbuquerqueLima,Rubens SilveiraUrban,Cícero de AndradeMarchi,Rafael DiogoCavalli,Luciane ReginaRibeiro,Enilze Maria de Souza Fonsecaeng2021-02-26T00:00:00Zoai:scielo:S1415-47572021000100104Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2021-02-26T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
title Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
spellingShingle Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
Gomig,Talita Helen Bombardelli
Male breast cancer
proteomics
label-free mass spectrometry
bioinformatics analysis
signaling pathways
title_short Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
title_full Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
title_fullStr Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
title_full_unstemmed Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
title_sort Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
author Gomig,Talita Helen Bombardelli
author_facet Gomig,Talita Helen Bombardelli
Gontarski,Amanda Moletta
Cavalli,Iglenir João
Souza,Ricardo Lehtonen Rodrigues de
Lucena,Aline Castro Rodrigues
Batista,Michel
Machado,Kelly Cavalcanti
Marchini,Fabricio Klerynton
Marchi,Fabio Albuquerque
Lima,Rubens Silveira
Urban,Cícero de Andrade
Marchi,Rafael Diogo
Cavalli,Luciane Regina
Ribeiro,Enilze Maria de Souza Fonseca
author_role author
author2 Gontarski,Amanda Moletta
Cavalli,Iglenir João
Souza,Ricardo Lehtonen Rodrigues de
Lucena,Aline Castro Rodrigues
Batista,Michel
Machado,Kelly Cavalcanti
Marchini,Fabricio Klerynton
Marchi,Fabio Albuquerque
Lima,Rubens Silveira
Urban,Cícero de Andrade
Marchi,Rafael Diogo
Cavalli,Luciane Regina
Ribeiro,Enilze Maria de Souza Fonseca
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gomig,Talita Helen Bombardelli
Gontarski,Amanda Moletta
Cavalli,Iglenir João
Souza,Ricardo Lehtonen Rodrigues de
Lucena,Aline Castro Rodrigues
Batista,Michel
Machado,Kelly Cavalcanti
Marchini,Fabricio Klerynton
Marchi,Fabio Albuquerque
Lima,Rubens Silveira
Urban,Cícero de Andrade
Marchi,Rafael Diogo
Cavalli,Luciane Regina
Ribeiro,Enilze Maria de Souza Fonseca
dc.subject.por.fl_str_mv Male breast cancer
proteomics
label-free mass spectrometry
bioinformatics analysis
signaling pathways
topic Male breast cancer
proteomics
label-free mass spectrometry
bioinformatics analysis
signaling pathways
description Abstract Male breast cancer (MBC) is a rare malignancy that accounts for about 1.8% of all breast cancer cases. In contrast to the high number of the “omics” studies in breast cancer in women, only recently molecular approaches have been performed in MBC research. High-throughput proteomics based methodologies are promisor strategies to characterize the MBC proteomic signatures and their association with clinico-pathological parameters. In this study, the label-free quantification-mass spectrometry and bioinformatics approaches were applied to analyze the proteomic profiling of a MBC case using the primary breast tumor and the corresponding axillary metastatic lymph nodes and adjacent non-tumor breast tissues. The differentially expressed proteins were identified in the signaling pathways of granzyme B, sirtuins, eIF2, actin cytoskeleton, eNOS, acute phase response and calcium and were connected to the upstream regulators MYC, PI3K SMARCA4 and cancer-related chemical drugs. An additional proteomic comparative analysis was performed with a primary breast tumor of a female patient and revealed an interesting set of proteins, which were mainly involved in cancer biology. Together, our data provide a relevant data source for the MBC research that can help the therapeutic strategies for its management.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000100104
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572021000100104
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4685-gmb-2019-0410
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.44 n.1 2021
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
_version_ 1752122390178955264