dc.creatorBrunoro, Giselle Villa Flor
dc.creatorCarvalho, Paulo Costa
dc.creatorBarbosa, Valmir Carneiro
dc.creatorPagnoncelli, Dante
dc.creatorGallo, Claudia Vitória de Moura
dc.creatorPerales, Jonas
dc.creatorZahedi, René Peiman
dc.creatorValente, Richard Hemmi
dc.creatorNeves-Ferreira, Ana Gisele da Costa
dc.date2019-05-30T14:48:23Z
dc.date2019-05-30T14:48:23Z
dc.date2019
dc.date.accessioned2023-09-26T22:09:54Z
dc.date.available2023-09-26T22:09:54Z
dc.identifierBRUNORO, Giselle Villa Flor et al. Differential proteomic comparison of breast cancer secretome using a quantitative paired analysis workflow. BMC Cancer, v. 19, n. 365, p. 1-12, 2019.
dc.identifier1471-2407
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/33293
dc.identifier10.1186/s12885-019-5547-y
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8875636
dc.descriptionWorldwide, breast cancer is the main cause of cancer mortality in women. Most cases originate in mammary ductal cells that produce the nipple aspirate fluid (NAF). In cancer patients, this secretome contains proteins associated with the tumor microenvironment. NAF studies are challenging because of inter-individual variability. We introduced a paired-proteomic shotgun strategy that relies on NAF analysis from both breasts of patients with unilateral breast cancer and extended PatternLab for Proteomics software to take advantage of this setup. As methods, The software is based on a peptide-centric approach and uses the binomial distribution to attribute a probability for each peptide as being linked to the disease; these probabilities are propagated to a final protein p-value according to the Stouffer’s Z-score method. It's results a total of 1227 proteins were identified and quantified, of which 87 were differentially abundant, being mainly involved in glycolysis (Warburg effect) and immune system activation (activated stroma). Additionally, in the estrogen receptor-positive subgroup, proteins related to the regulation of insulin-like growth factor transport and platelet degranulation displayed higher abundance, confirming the presence of a proliferative microenvironment. Thus, as conclusions: We debuted a differential bioinformatics workflow for the proteomic analysis of NAF, validating this secretome as a treasure-trove for studying a paired-organ cancer type.
dc.formatapplication/pdf
dc.languagepor
dc.publisherBMC
dc.rightsopen access
dc.subjectAnálise emparelhada
dc.subjectSecreção de mama
dc.subjectBreast Neoplasms
dc.subjectNipple Aspirate Fluid
dc.subjectProteome
dc.subjectLiquid Biopsy
dc.subjectNeoplasias de la Mama
dc.subjectLíquido Aspirado del Pezón
dc.subjectBiopsia Líquida
dc.subjectNeoplasias da Mama
dc.subjectFluido do Aspirado de Mamilo
dc.subjectProteoma
dc.subjectBiópsia Líquida
dc.titleDifferential proteomic comparison of breast cancer secretome using a quantitative paired analysis workflow
dc.typeArticle


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