New potential biomarkers in the diagnosis of esophageal squamous cell carcinoma

Abstract

The differential protein peaks analysed by SELDI-TOF-MS may contain promising serum biomarkers for screening ESCC. The diagnostic model which combined only six protein peaks had a satisfactory discriminatory power. The model should be further evaluated in other populations of ESCC patients and tested against controls. The nature and function of the discriminating proteins have yet to be elucidated.

An overview of esophageal squamous cell carcinoma proteomics

“…Xinjiang is one of the high-incidence areas for ESCC and comprises different ethnic peoples including Han decent. Using CM10 protein chips to capture targets from serum samples (139 ESCC vs. 49 healthy controls), SELDI-TOF-MS and bioinformatics analysis resulted in identification of six protein peaks (m/z 5667, 5709, 5876, 5979, 6043 and 6102) with a sensitivity and a specificity of 97.12% and 83.87%, respectively [57]. In the case of proteomic signature identified by SELDI-TOF-MS, further purification and identification of discriminatory peaks are necessary for development of simple methods for wider clinical application and to enhance our understanding of the molecular mechanisms of esophageal carcinogenesis as well.…”

SILAC-based quantitative proteomic approach to identify potential biomarkers from the esophageal squamous cell carcinoma secretome

“…They identified 281 protein peaks, including six that followed a diagnostic pattern. 27 However, both MALDI-TOF and SELDI-TOF-MS suffer from high false-positive identification rates, because data is based only on a signature pattern that requires downstream high-resolution tandem mass spectrometry for definitive protein identification. 28 Thus, in each of the above-cited studies, only a small number of differentially expressed proteins were identified.…”

Surface-enhanced laser desorption ionization time-of-flight mass spectrometry used to screen serum diagnostic markers of colon cancer recurrence in situ following surgery

“…Proteomic technology is considered to be a potentially powerful mean of identifying the mechanisms involved in cancer and provide effective control measures (12). SELDI-TOF-MS is widely used for the early diagnosis of cancer and the early prediction of coronary heart disease and other disorders (8,13,14).…”