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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2021
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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. |
format | Online Article Text |
id | pubmed-7926483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
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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