Prediction of adjuvant chemotherapy response in triple negative breast cancer with discovery and targeted proteomics

Angelo Gámez-Pozo, Lucía Trilla-Fuertes, Guillermo Prado-Vázquez, Cristina Chiva, Rocío López-Vacas, Paolo Nanni, Julia Berges-Soria, Jonas Grossmann, Mariana Díaz-Almirón, Eva Ciruelos, Eduard Sabidó, Enrique Espinosa and Juan Ángel Fresno Vara

PLOS ONE, 2017, vol. 12, issue 6, 1-16

Abstract: Background: Triple-negative breast cancer (TNBC) accounts for 15–20% of all breast cancers and usually requires the administration of adjuvant chemotherapy after surgery but even with this treatment many patients still suffer from a relapse. The main objective of this study was to identify proteomics-based biomarkers that predict the response to standard adjuvant chemotherapy, so that patients at are not going to benefit from it can be offered therapeutic alternatives. Methods: We analyzed the proteome of a retrospective series of formalin-fixed, paraffin-embedded TNBC tissue applying high-throughput label-free quantitative proteomics. We identified several protein signatures with predictive value, which were validated with quantitative targeted proteomics in an independent cohort of patients and further evaluated in publicly available transcriptomics data. Results: Using univariate Cox analysis, a panel of 18 proteins was significantly associated with distant metastasis-free survival of patients (p

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0178296

DOI: 10.1371/journal.pone.0178296

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