title: Imaging mass spectrometry--a new and promising method to differentiate Spitz nevi from Spitzoid malignant melanomas.
abstract: BACKGROUND
  Differentiating Spitz nevus (SN) from Spitzoid malignant melanoma (SMM) is one the most difficult problems in dermatopathology.
  
  
  OBJECTIVE
  To identify differences on proteomic level between SN and SMM.
  
  
  METHODS
  We performed Imaging Mass Spectrometry analysis on formalin-fixed, paraffin-embedded tissue samples to identify differences on proteomic level between SN and SMM. The diagnosis of SN and SMM was based on histopathologic criteria, clinical features, and follow-up data, which confirmed that none of the lesions diagnosed as SN recurred or metastasized. The melanocytic component (tumor) and tumor microenvironment (dermis) from 114 cases of SN and SMM from the Yale Spitzoid Neoplasm Repository were analyzed. After obtaining mass spectra from each sample, classification models were built using a training set of biopsies from 26 SN and 25 SMM separately for tumor and for dermis. The classification algorithms developed on the training data set were validated on another set of 30 samples from SN and 33 from SMM.
  
  
  RESULTS
  We found proteomic differences between the melanocytic components of SN and SMM and identified 5 peptides that were differentially expressed in the 2 groups. From these data, 29 of 30 SN and 26 of 29 SMM were recognized correctly based on tumor analysis in the validation set. This method correctly classified SN with 97% sensitivity and 90% specificity in the validation cohort.
  
  
  CONCLUSIONS
  Imaging Mass Spectrometry analysis can reliably differentiate SN from SMM in formalin-fixed, paraffin-embedded tissue based on proteomic differences.
authors.affiliation: Department of Dermatology, Yale University School of Medicine and the Yale Cancer Center, New Haven, CT 06520, USA. rossitza.lazova@yale.edu
authors.forename: Rossitza
authors.initials: R
authors.lastname: Lazova
authors.forename: Erin H
authors.initials: EH
authors.lastname: Seeley
authors.forename: Megan
authors.initials: M
authors.lastname: Keenan
authors.forename: Ralitza
authors.initials: R
authors.lastname: Gueorguieva
authors.forename: Richard M
authors.initials: RM
authors.lastname: Caprioli
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000032:analysis / Q000378:metabolism*; D002648:Child; D002675:Child, Preschool; D020405:Dermis / Q000378:metabolism / Q000473:pathology; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D008545:Melanoma / Q000737:chemistry / Q000175:diagnosis* / Q000378:metabolism; D008853:Microscopy / Q000295:instrumentation / Q000379:methods*; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000032:analysis / Q000378:metabolism*; D018332:Nevus, Epithelioid and Spindle Cell / Q000737:chemistry / Q000175:diagnosis* / Q000378:metabolism; D040901:Proteomics; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D055815:Young Adult
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins