MALDI-TOF analysis of blood serum proteome can predict the presence of monoclonal gammopathy of undetermined significance

Show simple item record Barceló, Francisca Gomila, Rosa de Paul Bernal, Ivan Jesús Gili, Xavier Segura, Jaume Pérez-Montaña, Albert Jimenez-Marco, teresa Sampol, Antonia Portugal, José 2018-10-08T11:57:21Z
dc.description.abstract Monoclonal gammopathy of undetermined significance (MGUS) is a plasma cell dyscrasia that can progress to malignant multiple myeloma (MM). Specific molecular biomarkers to classify the MGUS status and discriminate the initial asymptomatic phase of MM have not been identified. We examined the serum peptidome profile of MGUS patients and healthy volunteers using MALDI-TOF mass spectrometry and developed a predictive model for classifying serum samples. The predictive model was built using a support vector machine (SVM) supervised learning method tuned by applying a 20-fold cross-validation scheme. Predicting class labels in a blinded test set containing randomly selected MGUS and healthy control serum samples validated the model. The generalization performance of the predictive model was evaluated by a double cross-validation method that showed 88% average model accuracy, 89% average sensitivity and 86% average specificity. Our model, which classifies unknown serum samples as belonging to either MGUS patients or healthy individuals, can be applied to clinical diagnosis.
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dc.relation.isformatof Reproducció del document publicat a:
dc.relation.ispartof Plos One, 2018
dc.rights cc-by (c) Barceló, Francisca et al., 2018
dc.subject.classification 57 - Biologia
dc.subject.other 57 - Biological sciences in general
dc.title MALDI-TOF analysis of blood serum proteome can predict the presence of monoclonal gammopathy of undetermined significance
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion 2018-10-08T11:57:22Z
dc.subject.keywords MALDI-TOF
dc.subject.keywords Monoclonal Gammopathy of Undetermined Significance
dc.subject.keywords Machine Learning
dc.subject.keywords multiple myeloma
dc.subject.keywords support vector machines
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess

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cc-by (c) Barceló, Francisca et al., 2018 Except where otherwise noted, this item's license is described as cc-by (c) Barceló, Francisca et al., 2018