Abstract: BACKGROUND ＆ AIM： To study the different serum protein spectra of patients with laryngeal carcinoma and vocal cord polyps controls,and establish a serum biomarker pattern for screening laryngeal arcinoma. MATERIALS AND METHODS： Serum samples from 33 laryngeal carcinoma patients and 30 age_ and sex_ matched patients with vocal cord polyps were analyzed by SELDI_TOF on a ProteinChip reader, PBSII_C. Protein profiles were generated using WCX2 protein chips. Protein peak clustering and classification analyses were performed utilizing the Biomarker Wizard and Biomarker Pattern software packages, respectively. RESULTS： The results showed that 27 peaks showed significant differences between laryngeal cancer patients and vocal cord polyps patients, twelve of which were up_regulated in the cancer patient samples, and the others were down_regulated. Three protein peaks, 2 279 Da,4 626 Da and 5 663 Da, were automatically chosen for system training and development of a classification tree.We divided all patients by using this classification tree,the corresponding sensitivity was 93.94％ and the specificity was 100％. CONCLUSION： Our results suggested that serum could be a useful source for the detection of specific biomarkers for laryngeal carcinoma. Proteinchip Array System was a useful tool for a high throughput screening of large_sized serum samples to identify potential biomarkers for carcinoma.

Key words: laryngeal carcinoma, SELDI protein chip, biomarker