title: Pilot study using SELDI-TOF-MS based proteomic profile for the identification of diagnostic biomarkers of thyroid proliferative diseases.
abstract: Biomarkers for thyroid cancer (TCa) lack specificity. To develop TCa specific biomarkers, SELDI-TOF-MS was used to examine the proteomic profile of biopsies obtained from papillary TCa along with adjacent normal tissue. Sixty-three potential biomarkers were categorized by univariate analysis into single biomarker candidates and segregated by multivariate analysis into normal and cancerous groups. Our studies demonstrate the sensitivity and reproducibility of this approach to detect biomarkers for TCa.
authors.affiliation: Department of Microbiology and Immunology, New York Medical College, Valhalla, New York, USA.
authors.forename: R
authors.initials: R
authors.lastname: Suriano
authors.forename: Y
authors.initials: Y
authors.lastname: Lin
authors.forename: B T
authors.initials: BT
authors.lastname: Ashok
authors.forename: S D
authors.initials: SD
authors.lastname: Schaefer
authors.forename: S P
authors.initials: SP
authors.lastname: Schantz
authors.forename: J
authors.initials: J
authors.lastname: Geliebter
authors.forename: R K
authors.initials: RK
authors.lastname: Tiwari
mesh_terms: D014408:Biomarkers, Tumor; D002291:Carcinoma, Papillary / Q000175:diagnosis / Q000473:pathology; D006801:Humans; D015999:Multivariate Analysis; D010865:Pilot Projects; D040081:Protein Array Analysis; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D013964:Thyroid Neoplasms / Q000175:diagnosis* / Q000473:pathology
chemical_list: D014408:Biomarkers, Tumor