title: Differential protein expression patterns obtained by mass spectrometry can aid in the diagnosis of Hodgkin's disease.
abstract: More than 90% of patients with cancer, if diagnosed early, can be promptly treated; however diagnosis usually occurs after cancer cells have metastasized. Recent technological advances in mass spectrometry challenges the field of machine learning to model such high dimensional datasets for clinical diagnosis and prognosis. Here we use support vector machines recursive feature elimination to hunt for protein expression patterns in the serum mass spectra of Hodgkin's disease (HD) patients and control subjects (CS) that could aid in diagnosing-the disease. Based on eight selected features, support vector machines was able to correctly classify among all CS and HD patients based on the leave-one-out. We also correctly classified an independent dataset, acquired from the same samples, with the previously generated SVM model.
authors.affiliation: Laboratory for Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Rio de Janeiro, Brazil. carvalhopc@cos.ufrj.br
authors.forename: Paulo Costa
authors.initials: PC
authors.lastname: Carvalho
authors.forename: Maria da Gloria Costa
authors.initials: Mda G
authors.lastname: Carvalho
authors.forename: Wim
authors.initials: W
authors.lastname: Degrave
authors.forename: Sergio
authors.initials: S
authors.lastname: Lilla
authors.forename: Gilberto
authors.initials: G
authors.lastname: De Nucci
authors.forename: Raul
authors.initials: R
authors.lastname: Fonseca
authors.forename: Nelson
authors.initials: N
authors.lastname: Spector
authors.forename: Juliane
authors.initials: J
authors.lastname: Musacchio
authors.forename: Gilberto Barbosa
authors.initials: GB
authors.lastname: Domont
mesh_terms: D001798:Blood Proteins / Q000032:analysis*; D006689:Hodgkin Disease / Q000097:blood / Q000175:diagnosis*; D006801:Humans; D040901:Proteomics; D015203:Reproducibility of Results; D021241:Spectrometry, Mass, Electrospray Ionization / Q000379:methods*
chemical_list: D001798:Blood Proteins