Glycoproteomics-Based Identification of Cancer Biomarkers

Protein glycosylation is one of the most common posttranslational modifications in mammalian cells. It is involved in many biological pathways and molecular functions and is well suited for proteomics-based disease investigations. Aberrant protein glycosylation may be associated with disease processes. Specific glycoforms of glycoproteins may serve as potential biomarkers for the early detection of disease or as biomarkers for the evaluation of therapeutic efficacy for treatment of cancer, diabetes, and other diseases. Recent technological developments, including lectin affinity chromatography and mass spectrometry, have provided researchers the ability to obtain detailed information concerning protein glycosylation. These in-depth investigations, including profiling and quantifying glycoprotein expression, as well as comprehensive glycan structural analyses may provide important information leading to the development of disease-related biomarkers. This paper describes methodologies for the detection of cancer-related glycoprotein and glycan structural alterations and briefly summarizes several current cancer-related findings

Comprehensive Proteomic Profiling of Aldehyde Dehydrogenases in Lung Adenocarcinoma Cell Lines

We have explored the potential of proteomic profiling to contribute to the delineation of the range of expression and subcellular localization of aldehyde dehydrogenases (ALDHs) in lung adenocarcinoma. In-depth quantitative proteomics was applied to 40 lung adenocarcinoma cell lines resulting in the identification of the known members of the ALDH family. Substantial heterogeneity in the level and occurrence of ALDHs in total lysates and on the cell surface and in their release into the culture media was observed based on mass spectrometry counts. A distinct pattern of expression of ALDHs was observed in cells exhibiting epithelial features relative to cells exhibiting mesenchymal features. Strikingly elevated levels of ALDH1A1 were observed in two cell lines. We also report on the occurrence of an immune response to ALDH1A1 in lung cancer

Identification of proteins from two-dimensional gel electrophoresis of human erythroleukemia cells using capillary high performance liquid chromatography/electrospray-ion trap-reflectron time-of-flight mass spectrometry with two-dimensional topographic map analysis of in-gel tryptic digest products

Protein spots from two-dimensional (2-D) gel electrophoresis of a human erythroleukemia cell line have been identified by analysis of the in-gel tryptic digests using capillary high performance liquid chromatography (HPLC) separation with on-line detection using electrospray ionization mass spectrometry (ESI-MS). This is performed using an electrospray/ion trap storage/reflectron time-of-flight mass spectrometer system (ESI-IT-reTOFMS). A 2-D topographic mapping display developed to process the on-line data acquired with this TOF system has been used to obtain mass identification of each peptide, even though the capillary HPLC only provides limited separation capability of the tryptic peptide mixtures studied herein. Using this method, a substantial fraction of the protein sequence can be covered and identified using the tryptic map. It is demonstrated that by entering the cell species, the approximate MW and pI range as determined by 2-D gel electrophoresis, and the tryptic peptide map into the database a unique match for identification of the protein generally results. It is also demonstrated that a much improved coverage of the protein sequence is obtained by this method relative to matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Copyright © 1999 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/35077/1/732_ftp.pd

Identification of a Specific Vimentin Isoform That Induces an Antibody Response in Pancreatic Cancer

Pancreatic cancer has a poor prognosis, in part due to lack of early detection. The identification of circulating tumor antigens or their related autoantibodies provides a means for early cancer diagnosis. We have used a proteomic approach to identify proteins that commonly induce a humoral response in pancreatic cancer. Proteins from a pancreatic adenocarcinoma cell line (Panc-1) were subjected to two-dimensional PAGE, followed by Western blot analysis in which individual sera were tested for autoantibodies. Sera from 36 newly diagnosed patients with pancreatic cancer, 18 patients with chronic pancreatitis and 15 healthy subjects were analyzed. Autoantibodies were detected against a protein identified by mass spectrometry as vimentin, in sera from 16/36 patients with pancreatic cancer (44.4%). Only one of 18 chronic pancreatitis patients and none of the healthy controls exhibited reactivity against this vimentin isoform. Interestingly, none of several other isoforms of vimentin detectable in 2-D gels exhibited reactivity with patient sera. Vimentin protein expression levels were investigated by comparing the integrated intensity of spots visualized in 2-D PAGE gels of various cancers. Pancreatic tumor tissues showed greater than a 3-fold higher expression of total vimentin protein than did the lung, colon, and ovarian tumors that were analyzed. The specific antigenic isoform was found at 5–10 fold higher levels. The detection of autoantibodies to this specific isoform of vimentin may have utility for the early diagnosis of pancreatic cancer

Reduced selenium-binding protein 1 expression is associated with poor outcome in lung adenocarcinomas

The effects of selenium, an essential nutrient with anti-carcinogenic properties, are mediated by selenium-binding proteins. The protein expression status of human selenium-binding protein 1 (SBP1) in human tumours and the exact function of this protein are not known. In this study, quantitative two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) was used on 93 lung adenocarcinomas and ten uninvolved lung samples. Two likely isoforms of a 56 kD protein that showed a significantly decreased abundance in lung adenocarcinomas were observed. Tandem mass spectrometry and 2-D western blot analysis identified these two proteins as human SBP1. Tumour tissue microarrays were utilized to examine the cellular expression patterns of SBP1 using immunohistochemistry. The same tissue samples were examined for SBP1 mRNA expression using oligonucleotide microarrays. Two major SBP1 isoforms were detected, with an acidic isoform (457) being significantly down-regulated in lung adenocarcinomas compared with normal lung ( p = 0.02). Two additional more acidic SBP1 isoforms were only observed in normal lung. SBP1 protein isoforms and SBP1 mRNA levels were significantly decreased in poorly differentiated (versus moderately and well-differentiated), T2–T4 (versus T1), and bronchus-derived (versus bronchioloalveolar) tumours. Low levels of SBP1 protein (native form, 460) correlated significantly with poor survival ( p = 0.007). The lack of SBP1 expression was not due to gene deletion. Treatment of A549 lung adenocarcinoma cells with the methylation inhibitor 5-azacytidine did not affect expression of the SBP1 protein. Analysis of the tumour proliferation status using Ki-67 suggests that down-regulated expression of SBP1 may reflect increased cell proliferation and decreased differentiation in lung adenocarcinomas. Copyright © 2004 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/34487/1/1524_ftp.pd

A Mouse to Human Search for Plasma Proteome Changes Associated with Pancreatic Tumor Development

Background: The complexity and heterogeneity of the human plasma proteome have presented significant challenges in the identification of protein changes associated with tumor development. Refined genetically engineered mouse (GEM) models of human cancer have been shown to faithfully recapitulate the molecular, biological, and clinical features of human disease. Here, we sought to exploit the merits of a well-characterized GEM model of pancreatic cancer to determine whether proteomics technologies allow identification of protein changes associated with tumor development and whether such changes are relevant to human pancreatic cancer. Methods and Findings: Plasma was sampled from mice at early and advanced stages of tumor development and from matched controls. Using a proteomic approach based on extensive protein fractionation, we confidently identified 1,442 proteins that were distributed across seven orders of magnitude of abundance in plasma. Analysis of proteins chosen on the basis of increased levels in plasma from tumor-bearing mice and corroborating protein or RNA expression in tissue documented concordance in the blood from 30 newly diagnosed patients with pancreatic cancer relative to 30 control specimens. A panel of five proteins selected on the basis of their increased level at an early stage of tumor development in the mouse was tested in a blinded study in 26 humans from the CARET (Carotene and Retinol Efficacy Trial) cohort. The panel discriminated pancreatic cancer cases from matched controls in blood specimens obtained between 7 and 13 mo prior to the development of symptoms and clinical diagnosis of pancreatic cancer. Conclusions: Our findings indicate that GEM models of cancer, in combination with in-depth proteomic analysis, provide a useful strategy to identify candidate markers applicable to human cancer with potential utility for early detection