Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , |
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 |