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: | por |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/46316 |
Resumo: | Universidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil. |
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Gomig, Talita Helen BombardelliGontarski, Amanda MolettaCavalli, Iglenir JoãoSouza, Ricardo Lehtonen Rodrigues deLucena, Aline Castro RodriguesBatista, MichelMachado, Kelly CavalcantiMarchini, Fabrício KleryntonMarchi, Fabio AlbuquerqueLima, Rubens SilveiraUrban, Cícero de AndradeMarchi, Rafael DiogoCavalli, Luciane ReginaRibeiro, Enilze Maria de Souza Fonseca2021-03-09T19:32:32Z2021-03-09T19:32:32Z2021GOMIG, Talita Helen Bombardelli et al. Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer. Genetics and Molecular Biology, v. 44, n. 1, p. 1-16, 2021.0100-8455https://www.arca.fiocruz.br/handle/icict/4631610.1590/1678-4685-GMB-2019-0410porSociedade Brasileira de GenéticaIntegrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancerinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil.Universidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil.Universidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil.Universidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Genômica Funcional. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Genômica Funcional. Curitiba, PR, Brasil / Fundação Oswaldo Cruz. Instituto Carlos Chagas. Plataforma de Espectrometria de Massas. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Plataforma de Espectrometria de Massas. Curitiba, PR, Brasil.Fundação Oswaldo Cruz. Instituto Carlos Chagas. Laboratório de Genômica Funcional. Curitiba, PR, Brasil / Fundação Oswaldo Cruz. Instituto Carlos Chagas. Plataforma de Espectrometria de Massas. Curitiba, PR, Brasil.Hospital A. C. Camargo. Centro de Pesquisa Internacional. São Paulo, SP, Brasil.Hospital Nossa Senhora das Graças. Centro de Doenças da Mama. Curitiba, PR, Brasil.Hospital Nossa Senhora das Graças. Centro de Doenças da Mama. Curitiba, PR, Brasil.Instituto de Pesquisa Pelé Pequeno Príncipe. Curitiba, PR, Brasil.Instituto de Pesquisa Pelé Pequeno Príncipe. Curitiba, PR, Brasil / Georgetown University. Lombardi Comprehensive Cancer Center. Washington, USA.Universidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil.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.Breast Neoplasms, MaleProteomicsMass SpectrometryComputational BiologySignal TransductionNeoplasias de la Mama MasculinaProteómicaEspectrometría de MasasBiología ComputacionalTransducción de SeñalTumeur du sein de l'hommeProtéomiqueSpectrométrie de masseBiologie informatiqueTransduction du signalNeoplasias da Mama MasculinaProteômicaEspectrometria de MassasBiologia ComputacionalTransdução de Sinaisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; 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| dc.title.pt_BR.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 Breast Neoplasms, Male Proteomics Mass Spectrometry Computational Biology Signal Transduction Neoplasias de la Mama Masculina Proteómica Espectrometría de Masas Biología Computacional Transducción de Señal Tumeur du sein de l'homme Protéomique Spectrométrie de masse Biologie informatique Transduction du signal Neoplasias da Mama Masculina Proteômica Espectrometria de Massas Biologia Computacional Transdução de Sinais |
| 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, Fabrício 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, Fabrício 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, Fabrício 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.en.pt_BR.fl_str_mv |
Breast Neoplasms, Male Proteomics Mass Spectrometry Computational Biology Signal Transduction |
| topic |
Breast Neoplasms, Male Proteomics Mass Spectrometry Computational Biology Signal Transduction Neoplasias de la Mama Masculina Proteómica Espectrometría de Masas Biología Computacional Transducción de Señal Tumeur du sein de l'homme Protéomique Spectrométrie de masse Biologie informatique Transduction du signal Neoplasias da Mama Masculina Proteômica Espectrometria de Massas Biologia Computacional Transdução de Sinais |
| dc.subject.es.pt_BR.fl_str_mv |
Neoplasias de la Mama Masculina Proteómica Espectrometría de Masas Biología Computacional Transducción de Señal |
| dc.subject.fr.pt_BR.fl_str_mv |
Tumeur du sein de l'homme Protéomique Spectrométrie de masse Biologie informatique Transduction du signal |
| dc.subject.decs.pt_BR.fl_str_mv |
Neoplasias da Mama Masculina Proteômica Espectrometria de Massas Biologia Computacional Transdução de Sinais |
| description |
Universidade Federal do Paraná. Departamento de Genética. Programa de Pós-Graduação em Genética. Curitiba, PR, Brasil. |
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2021 |
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2021-03-09T19:32:32Z |
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2021-03-09T19:32:32Z |
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2021 |
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info:eu-repo/semantics/article |
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GOMIG, Talita Helen Bombardelli et al. Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer. Genetics and Molecular Biology, v. 44, n. 1, p. 1-16, 2021. |
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https://www.arca.fiocruz.br/handle/icict/46316 |
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0100-8455 |
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10.1590/1678-4685-GMB-2019-0410 |
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GOMIG, Talita Helen Bombardelli et al. Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer. Genetics and Molecular Biology, v. 44, n. 1, p. 1-16, 2021. 0100-8455 10.1590/1678-4685-GMB-2019-0410 |
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Sociedade Brasileira de Genética |
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