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

• Autor(a) principal: Gomig,Talita Helen Bombardelli
• Data de Publicação: 2021
• Outros Autores: 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
• 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
• topic: Male breast cancer; proteomics; label-free mass spectrometry; bioinformatics analysis; signaling pathways

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.