Literature DB >> 22687601

Exploration of serum metabolomic profiles and outcomes in women with metastatic breast cancer: a pilot study.

Leonardo Tenori1, Catherine Oakman, Wederson M Claudino, Patrizia Bernini, Silvia Cappadona, Stefano Nepi, Laura Biganzoli, Michael C Arbushites, Claudio Luchinat, Ivano Bertini, Angelo Di Leo.   

Abstract

BACKGROUND: Metabolomics, a global study of metabolites and small molecules, is a novel expanding field. In this pilot study, metabolomics has been applied to serum samples from women with metastatic breast cancer to explore outcomes and response to treatment. PATIENTS AND METHODS: Pre-treatment and serial on-treatment serum samples were available from an international clinical trial in which 579 women with metastatic breast cancer were randomized to paclitaxel plus either a targeted anti-HER2 treatment (lapatinib) or placebo. Serum metabolomic profiles were obtained using 600 MHz nuclear magnetic resonance spectroscopy. Profiles were compared with time to progression, overall survival and treatment toxicity.
RESULTS: Pre- and on-treatment serum samples were assessed for over 500 patients. Unbiased metabolomic profiles in the biologically unselected overall trial population did not correlate with outcome or toxicity. In a subgroup of patients with HER2-positive disease treated with paclitaxel plus lapatinib, metabolomic profiles from patients in the upper and lower thirds of the dataset showed significant differences for time to progression (N = 22, predictive accuracy = 89.6%) and overall survival (N = 16, predictive accuracy = 78.0%).
CONCLUSIONS: In metastatic breast cancer, metabolomics may play a role in sub selecting patients with HER2 positive disease with greater sensitivity to paclitaxel plus lapatinib.
Copyright © 2012 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22687601      PMCID: PMC5528357          DOI: 10.1016/j.molonc.2012.05.003

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


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