The Study On Serum Protein Fingerprinting For The Diagnosis Of Esophageal Squamous Cell Carcinoma

Objective: To analyze the alterations of serum proteins in esophageal squamous cell carcinoma(ESCC), screen and establish serum marker pattern for the diagnosis of ESCC in Xinjiang. Methods: The serum proteomic patterns of 139 patients with ESCC(among them, 54 cases are Uygurs, 45 cases kazakhs and 40 cases Hans) and 49 cases of sex and age-matched healthy controls were detected based on SELDI-TOF-MS (Surface Enhanced Laser Desorption/ Ionization-Time of Flight-Mass Spectrometry) technology with CM10 ProteinChip. The difference of protein peaks was analysed between ESCC and controls by Biomarker Pattern Software, and a primary diagnosis model of ESCC was developed and validated with support vector machines.This model was further valuated by blind test in a large scale. Results: Two hundred and eighty-three protein peaks were detected at the molecular range of 0 to 50 000, among which 140 ones were significantly different between ESCC and controls (P<0.05). A diagnostic pattern consisting of 6 protein peaks (5667.1843,5709.597,5876.2093,5979.2029,6043.524,6102.8172) was established with 97.12% sensitivity and 83.87% specificity. Large scale blind test generated a sensitivity of 91.43% and specificity of 88.89%, respectively. Conclusions: The protein peaks analyzed by SELDI-TOF-MS may contain promising serum biomarkers for screening ESCC. The diagnostic model formed by six protein peaks which combined with bioinformatics tools, can do the best in discriminating ESCC from controls. It provides a new assistant-approach for diagnosing and screening ESCC.