Altered plasma apolipoprotein modifications in patients with pancreatic cancer: protein characterization and multi-institutional validation.

Background: Among the more common human malignancies, invasive ductal carcinoma of the pancreas has the worst prognosis. The poor outcome seems to be attributable to difficulty in early detection.

Methods: We compared the plasma protein profiles of 112 pancreatic cancer patients with those of 103 sex- and age-matched healthy controls (Cohort 1) using a newly developed matrix-assisted laser desorption/ionization (oMALDI) QqTOF (quadrupole time-of-flight) mass spectrometry (MS) system.

Plasma biomarker discovery and validation for colorectal cancer by quantitative shotgun mass spectrometry and protein microarray.

The development of a new plasma biomarker for early detection would be necessary to improve the overall outcome of colorectal cancer. Here we report the identification and validation of the ninth component of complement (C9) as a novel plasma biomarker for colorectal cancer by cutting-edge proteomic technologies. Plasma proteins were enzymatically digested into a large array of peptides, and the relative quantity of a total of 94,803 peptide peaks was compared between 31 colorectal cancer patients and 59 age/sex-matched healthy controls using 2D image-converted analysis of liquid chromatography and mass spectrometry.

Prolyl 4-hydroxylation of alpha-fibrinogen: a novel protein modification revealed by plasma proteomics.

Plasma proteome analysis requires sufficient power to compare numerous samples and detect changes in protein modification, because the protein content of human samples varies significantly among individuals, and many plasma proteins undergo changes in the bloodstream. A label-free proteomics platform developed in our laboratory, termed "Two-Dimensional Image Converted Analysis of Liquid chromatography and mass spectrometry (2DICAL)," is capable of these tasks. Here, we describe successful detection of novel prolyl hydroxylation of alpha-fibrinogen using 2DICAL, based on comparison of plasma samples of 38 pancreatic cancer patients and 39 healthy subjects.

Quantitative proteomics using formalin-fixed paraffin-embedded tissues of oral squamous cell carcinoma.

Clinical proteomics using a large archive of formalin-fixed paraffin-embedded (FFPE) tissue blocks has long been a challenge. Recently, a method for extracting proteins from FFPE tissue in the form of tryptic peptides was developed. Here we report the application of a highly sensitive mass spectrometry (MS)-based quantitative proteome method to a small amount of samples obtained by laser microdissection from FFPE tissues.

Large-scale quantitative clinical proteomics by label-free liquid chromatography and mass spectrometry.

We previously reported the development of an integrated proteome platform, namely 2-Dimensional Image Converted Analysis of Liquid chromatography and mass spectrometry (2DICAL), for quantitative comparison of large peptide datasets generated by nano-flow liquid chromatography (LC) and mass spectrometry (MS). The key technology of 2DICAL was the precise adjustment of the retention time of LC by dynamic programming. In order to apply 2DICAL to clinical studies that require comparison of a large number of patient samples we further refined the calculation algorithm and increased the accuracy and speed of the peptide peak alignment using a greedy algorithm, which had been used for fast DNA sequence alignment.

Distinct gene expression-defined classes of gastrointestinal stromal tumor.

Purpose: The majority of gastrointestinal stromal tumors (GIST) can be cured by surgery alone, but relapse occurs in 20% to 40% of cases. GISTs are considered to invariably arise through gain of function KIT or PDGFA mutation of the interstitial cells of Cajal (ICC). However, the genetic basis of the malignant progression of GISTs are poorly understood.