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. RESULTS: We found that hemi-truncated apolipoprotein AII dimer (ApoAII-2; 17252 m/z), unglycosylated apolipoprotein CIII (ApoCIII-0; 8766 m/z), and their summed value were significantly decreased in the pancreatic cancer patients [P = 1.36×10(-21), P = 4.35×10(-14), and P = 1.83×10(-24) (Mann-Whitney U-test); area-under-curve values of 0.877, 0.798, and 0.903, respectively]. The significance was further validated in a total of 1099 plasma/serum samples, consisting of 2 retrospective cohorts [Cohort 2 (n = 103) and Cohort 3 (n = 163)] and a prospective cohort [Cohort 4 (n = 833)] collected from 8 medical institutions in Japan and Germany. CONCLUSIONS: We have constructed a robust quantitative MS profiling system and used it to validate alterations of modified apolipoproteins in multiple cohorts of patients with pancreatic cancer.

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. The selected biomarker candidates were validated in 345 subjects (115 colorectal cancer patients and 230 age/sex-matched healthy controls) using high-density reverse-phase protein microarrays. Plasma levels of Apo AI and C9 in colorectal cancer patients significantly differed from healthy controls with P values of 7.94×10(-4) and 1.43×10(-12) (Student's t-test), respectively. In particular, C9 was elevated in patients with colorectal cancer, including those with stage-I and -II diseases (P=3.01×10(-3) and P=1.13×10(-5) , respectively). Although the significance of the present study must be validated in an independent clinical study, the increment of plasma C9 may be applicable to the early detection of colorectal cancer.

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. Using a newly generated monoclonal antibody 11A5, we confirmed the increase in prolyl-hydroxylated alpha-fibrinogen plasma levels and identified prolyl 4-hydroxylase A1 as a key enzyme for the modification. Competitive enzyme-linked immunosorbent assay of 685 blood samples revealed dynamic changes in prolyl-hydroxylated alpha-fibrinogen plasma level depending on clinical status. Prolyl-hydroxylated alpha-fibrinogen is presumably controlled by multiple biological mechanisms, which remain to be clarified in future studies.

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. Cancerous and adjacent normal epithelia were microdissected from FFPE tissue blocks of 10 squamous cell carcinomas of the tongue. Proteins were extracted in the form of tryptic peptides and analyzed by 2-dimensional image-converted analysis of liquid chromatography and mass spectrometry (2DICAL), a label-free quantitative proteomics method developed in our laboratory. From a total of 25 018 peaks we selected 72 mass peaks whose expression differed significantly between cancer and normal tissues (P < 0.001, paired t-test). The expression of transglutaminase 3 (TGM3) was significantly down-regulated in cancer and correlated with loss of histological differentiation. Hypermethylation of TGM3 gene CpG islands was observed in 12 oral squamous cell carcinoma (OSCC) cell lines with reduced TGM3 expression. These results suggest that epigenetic silencing of TGM3 plays certain roles in the process of oral carcinogenesis. The method for quantitative proteomic analysis of FFPE tissue described here offers new opportunities to identify disease-specific biomarkers and therapeutic targets using widely available archival samples with corresponding detailed pathological and clinical records.

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. The peptide peaks of each sample with the same m/z were extracted every 1 m/z and displayed with along the horizontal axis. Here we report a precise comparison of more than 150,000 typtic peptide ion peaks derived from 70 serum samples (40 patients with uterine endometrial cancer and 30 controls). The levels of 49 MS peaks were found to differ significantly between cancer patients and controls (P < 0.01, Welch's t-test and interquartile range [IQR] of >40), and the differential expression and identification of selected three proteins was validated by immunoblotting. 2DICAL was is highly advantageous for large-scale clinical proteomics because of its simple procedure, high throughput, and quantification accuracy.

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. PATIENTS AND METHODS: The expression levels of 54,613 probe sets in 32 surgical samples of untreated GISTs of the stomach and small intestine were analyzed with oligonucleotide microarrays. The representative GeneChip data were validated by real-time reverse transcriptase polymerase chain reaction and immunohistochemistry. RESULTS: Unbiased hierarchical clustering consistently separated the 32 cases of GIST into two major classes according to tumor site. The two major classes were further separated into novel subclasses, which were significantly correlated with various pathological prognostic parameters, the frequency of metastasis (P < .05), and clinical outcome. Immunohistochemical analysis of 152 independent patients with gastric GISTs revealed that the expression of dipeptidyl peptidase IV (T-cell activation antigen CD26) protein was significantly associated with poorer overall and disease-free survival (P < .00001). CONCLUSION: CD26 appears to be a reliable biomarker of malignant GISTs of the stomach. The postoperative recurrence rate of CD26-negative cases was as low as 2.0% (two of 102). Therefore, postoperative follow-up of such patients might be made less intensive. CD26 may play an important role in the malignant progression of gastric GISTs and serve as a therapeutic target.

Label-free quantitative proteomics using large peptide data sets generated by nanoflow liquid chromatography and mass spectrometry.

We developed an integrated platform consisting of machinery and software modules that can apply vast amounts of data generated by nanoflow LC-MS to differential protein expression analyses. Unlabeled protein samples were completely digested with modified trypsin and separated by low speed (200 nl/min) one-dimensional HPLC. Mass spectra were obtained every 1 s by using the survey mode of a hybrid Q-TOF mass spectrometer and displayed in a two-dimensional plane with m/z values along the x axis, and retention time was displayed along the y axis. The time jitter of nano-LC was adjusted using newly developed software based on a dynamic programming algorithm. The comprehensiveness (60,000-160,000 peaks above the predetermined threshold detectable in 60-microg cell protein samples), reproducibility (average coefficient of variance of 0.35-0.39 and correlation coefficient of over 0.92 between duplicates), and accurate quantification with a wide dynamic range (over 10(3)) of our platform warrant its application to various types of experimental and translational proteomics.