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INTEGRATED ANALYSIS OF LABEL-FREE QUANTITATIVE PROTEOMICS AND BIOINFORMATICS REVEAL INSIGHTS INTO SIGNALING PATHWAYS IN MALE BREAST CANCER
Proteomics
Mass Spectrometry
Computational Biology
Signal Transduction
Proteómica
Espectrometría de Masas
Biología Computacional
Transducción de Señal
Proteômica
Espectrometria de Massas
Biologia Computacional
Transdução de Sinais
Autor
Afiliación
Resumen en ingles
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.
Palabras clave en ingles
Breast Neoplasms, MaleProteomics
Mass Spectrometry
Computational Biology
Signal Transduction
Palabras clave
Neoplasias de la Mama MasculinaProteómica
Espectrometría de Masas
Biología Computacional
Transducción de Señal
DeCS
Neoplasias da Mama MasculinaProteômica
Espectrometria de Massas
Biologia Computacional
Transdução de Sinais
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