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

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 methodologi...

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Autores principales: Gomig, Talita Helen Bombardelli, Gontarski, Amanda Moletta, Cavalli, Iglenir João, de Souza, Ricardo Lehtonen Rodrigues, 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Genética 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926483/
https://www.ncbi.nlm.nih.gov/pubmed/33656060
http://dx.doi.org/10.1590/1678-4685-GMB-2019-0410
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author Gomig, Talita Helen Bombardelli
Gontarski, Amanda Moletta
Cavalli, Iglenir João
de Souza, Ricardo Lehtonen Rodrigues
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_facet Gomig, Talita Helen Bombardelli
Gontarski, Amanda Moletta
Cavalli, Iglenir João
de Souza, Ricardo Lehtonen Rodrigues
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_sort Gomig, Talita Helen Bombardelli
collection PubMed
description 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.
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spelling pubmed-79264832021-03-11 Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer Gomig, Talita Helen Bombardelli Gontarski, Amanda Moletta Cavalli, Iglenir João de Souza, Ricardo Lehtonen Rodrigues 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 Genet Mol Biol Human and Medical Genetics 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 Genética 2021-03-01 /pmc/articles/PMC7926483/ /pubmed/33656060 http://dx.doi.org/10.1590/1678-4685-GMB-2019-0410 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Human and Medical Genetics
Gomig, Talita Helen Bombardelli
Gontarski, Amanda Moletta
Cavalli, Iglenir João
de Souza, Ricardo Lehtonen Rodrigues
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
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
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_short 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
topic Human and Medical Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926483/
https://www.ncbi.nlm.nih.gov/pubmed/33656060
http://dx.doi.org/10.1590/1678-4685-GMB-2019-0410
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