The Current State of Proteomics in GI Oncology

Proteomics refers to the study of the entire set of proteins in a given cell or tissue. With the extensive development of protein separation, mass spectrometry, and bioinformatics technologies, clinical proteomics has shown its potential as a powerful approach for biomarker discovery, particularly in the area of oncology. More than 130 exploratory studies have defined candidate markers in serum, gastrointestinal (GI) fluids, or cancer tissue. In this article, we introduce the commonly adopted proteomic technologies and describe results of a comprehensive review of studies that have applied these technologies to GI oncology, with a particular emphasis on developments in the last 3 years. We discuss reasons why the more than 130 studies to date have had little discernible clinical impact, and we outline steps that may allow proteomics to realize its promise for early detection of disease, monitoring of disease recurrence, and identification of targets for individualized therapy

Methods in capillary electrophoresis coupled to mass spectrometry for the identification of clinical proteomic/peptidomic biomarkers in biofluids

Proteomic biomarkers hold the promise of enabling assessment of patients according to a pathological condition aiming at improvements in diagnosis, prognosis, in general clinical patient management. Capillary electrophoresis coupled to an electrospray ionization time-of-flight mass spectrometer (CE-MS) allows the detection of thousands of small proteins and peptides in various biofluids, in a single, reproducible and time-limited step, enabling the simultaneous comparison of multiple individual proteins and peptides in biomarker discovery, but also in clinical applications. The reliability of the CE-MS platform, together with the use of a validated approach for data processing and mining is, to date, the most advanced technique for biomarker discovery of clinical significance. In this chapter, we report on the materials, methods and protocols used for CE-MS-based clinical proteomics allowing the reproducible profiling of biofluids