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    Novel panel of protein biomarkers to predict response to bortezomib-containing induction regimens in multiple myeloma patients


    Ting, Kay Reen and Henry, Michael and Meiller, Justine and Larkin, Annemarie and Clynes, Martin and Meleady, Paula and Bazou, Despina and Dowling, Paul and O'Gorman, Peter (2017) Novel panel of protein biomarkers to predict response to bortezomib-containing induction regimens in multiple myeloma patients. BBA Clinical, 8. pp. 28-34. ISSN 2214-6474

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    Abstract

    Background: Multiple myeloma (MM) is a complex heterogeneous disease. Various risk stratification models have been recommended including cytogenetic and FISH analysis to identify high-risk patients who may benefit from novel treatments, but such facilities are not widely available. The International Scoring System (ISS) using beta-2-microglobulin and albumin remains a widely used prognostic scoring system in many clinical practices; however it is not useful in predicting response to treatment in MM. The aim of this study is to identify clinically useful biomarkers to predict response to treatment containing bortezomib. Methods: 17 MM patient serum samples (9 responders/8 non-responders) were used for the discovery phase (label-free mass spectrometry) and an additional 20 MM patient serum samples were used for the ELISA-based validation phase (14 responders/6 non-responders). Results: CLU and ANG mean levels were higher in the responders group, while Complement C1q had lower concentrations. The combination of all standard biomarkers (albumin, beta-2-microglobulin (ß2M), paraprotein and kappa/lambda (K/L) ratio) had an AUC value of 0.71 with 65% correct classification, while an overall combination of new candidate protein biomarkers with standard biomarkers had an AUC value of 0.89 with 85.3% correct classification. Conclusions: A combination of new and standard biomarkers consisting of CLU, ANG, C1Q, albumin, ß2M, paraprotein and K/L ratio may have potential as a novel panel of biomarkers to predict MM response to treatment containing bortezomib. General significance Use of this biomarker panel could facilitate a more personalized therapy approach and to minimize unnecessary side effects from ineffective drugs.

    Item Type: Article
    Additional Information: © 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/)
    Keywords: Biomarkers; Bortezomib; Mass spectrometry; Proteomics;
    Academic Unit: Faculty of Science and Engineering > Biology
    Faculty of Science and Engineering > Research Institutes > Human Health Institute
    Item ID: 11601
    Identification Number: https://doi.org/10.1016/j.bbacli.2017.05.003
    Depositing User: Paul Dowling
    Date Deposited: 04 Nov 2019 14:18
    Journal or Publication Title: BBA Clinical
    Publisher: Elsevier
    Refereed: Yes
    URI:

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