title: Detection of differentially expressed proteins in early-stage melanoma patients using SELDI-TOF mass spectrometry.
abstract: Tumor progression is a dynamic sequence of events that involves specific protein changes. We hypothesized that Surface Enhanced Laser Desorption/Ionization (SELDI) mass spectrometric analysis of sera from patients with AJCC stage I and II melanoma with negative loco-regional lymph nodes could identify potential melanoma-associated protein biomarkers of disease recurrence. Serum specimens were collected from 49 patients who developed recurrence (n = 25) or remained free of recurrence (n = 24) without evidence of disease following complete resection (AJCC stage I and II). Follow-up was longer than 5 years. Serum proteins were denatured and applied onto two protein chip chemistry surfaces (weak cationic WCX2; metal-binding, IMAC3-Cu). SELDI ProteinChip mass spectrometry was then performed. SELDI data were analyzed, protein peak clustering and classification were performed, and a supervised classification algorithm was employed to classify the dataset. Multiple protein peaks ranging from 3.3 to 30 kDa were identified between patients with recurrence and those without recurrence, and the expression pattern differences of three proteins were used to generate the discriminating classification tree. The biomarkers were expressed with a high degree of reproducibility. In this early characterization study, melanoma recurrence was predicted with a sensitivity of 72% (18/25) and a specificity of 75% (18/24). This novel pilot study revealed three proteins that accurately identified patients who developed recurrence after curative resection of primary melanoma.
authors.affiliation: Department of Molecular Oncology, John Wayne Cancer Institute, Saint John's Health Center, Santa Monica, California 90404, USA.
authors.forename: Lori L
authors.initials: LL
authors.lastname: Wilson
authors.forename: Linh
authors.initials: L
authors.lastname: Tran
authors.forename: Donald L
authors.initials: DL
authors.lastname: Morton
authors.forename: Dave S B
authors.initials: DS
authors.lastname: Hoon
mesh_terms: D000328:Adult; D000465:Algorithms; D014408:Biomarkers, Tumor / Q000097:blood; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D013058:Mass Spectrometry; D008545:Melanoma / Q000097:blood* / Q000401:mortality / Q000473:pathology / Q000601:surgery; D008875:Middle Aged; D008970:Molecular Weight; D009363:Neoplasm Proteins / Q000097:blood* / Q000235:genetics / Q000378:metabolism*; D009367:Neoplasm Staging; D010865:Pilot Projects; D040081:Protein Array Analysis; D012008:Recurrence; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic; D015996:Survival Rate; D013997:Time Factors
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins