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

Autor:	Gomig THB; Universidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil., Gontarski AM; Universidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil., Cavalli IJ; Universidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil., Souza RLR; Universidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil., Lucena ACR; Instituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil., Batista M; Instituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil.; Fundação Oswaldo Cruz (Fiocruz), Plataforma de Espectrometria de Massas, Curitiba, PR, Brazil., Machado KC; Fundação Oswaldo Cruz (Fiocruz), Plataforma de Espectrometria de Massas, Curitiba, PR, Brazil., Marchini FK; Instituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil.; Fundação Oswaldo Cruz (Fiocruz), Plataforma de Espectrometria de Massas, Curitiba, PR, Brazil., Marchi FA; Hospital A.C. Camargo Cancer Center, Centro de Pesquisa Internacional, São Paulo, SP, Brazil., Lima RS; Hospital Nossa Senhora das Graças, Centro de Doenças da Mama, Curitiba, PR, Brazil., Urban CA; Hospital Nossa Senhora das Graças, Centro de Doenças da Mama, Curitiba, PR, Brazil., Marchi RD; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, PR, Brazil., Cavalli LR; Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, PR, Brazil.; Georgetown University, Lombardi Comprehensive Cancer Center, Washington, USA., Ribeiro EMSF; Universidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil.
Jazyk:	angličtina
Zdroj:	Genetics and molecular biology [Genet Mol Biol] 2021 Mar 01; Vol. 44 (1), pp. e20190410. Date of Electronic Publication: 2021 Mar 01 (Print Publication: 2021).
DOI:	10.1590/1678-4685-GMB-2019-0410
Abstrakt:	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.
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu