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      Glycoprotein Biomarker Panel for Pancreatic Cancer Discovered by Quantitative Proteomics Analysis

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          Abstract

          Pancreatic cancer is a lethal disease where specific early detection biomarkers would be very valuable to improve outcomes in patients. Many previous studies have compared biosamples from pancreatic cancer patients with healthy controls to find potential biomarkers. However, a range of related disease conditions can influence the performance of these putative biomarkers, including pancreatitis and diabetes. In this study, quantitative proteomics methods were applied to discover potential serum glycoprotein biomarkers that distinguish pancreatic cancer from other pancreas related conditions (diabetes, cyst, chronic pancreatitis, obstructive jaundice) and healthy controls. Aleuria aurantia lectin (AAL) was used to extract fucosylated glycoproteins and then both TMT protein-level labeling and label-free quantitative analysis were performed to analyze glycoprotein differences from 179 serum samples across the six different conditions. A total of 243 and 354 serum proteins were identified and quantified by label-free and TMT protein-level quantitative strategies, respectively. Nineteen and 25 proteins were found to show significant differences in samples between the pancreatic cancer and other conditions using the label-free and TMT strategies, respectively, with 7 proteins considered significant in both methods. Significantly different glycoproteins were further validated by lectin-ELISA and ELISA assays. Four candidates were identified as potential markers with profiles found to be highly complementary with CA 19–9 ( p < 0.001). Obstructive jaundice (OJ) was found to have a significant impact on the performance of every marker protein, including CA 19–9. The combination of α-1-antichymotrypsin (AACT), thrombospondin-1 (THBS1), and haptoglobin (HPT) outperformed CA 19–9 in distinguishing pancreatic cancer from normal controls (AUC = 0.95), diabetes (AUC = 0.89), cyst (AUC = 0.82), and chronic pancreatitis (AUC = 0.90). A marker panel of AACT, THBS1, HPT, and CA 19–9 showed a high diagnostic potential in distinguishing pancreatic cancer from other conditions with OJ (AUC = 0.92) or without OJ (AUC = 0.95).

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          Most cited references32

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          Diabetes mellitus and risk of pancreatic cancer: A meta-analysis of cohort studies.

          Diabetes mellitus (DM) is widely considered to be associated with risk of pancreatic cancer (PaC), however, whether DM is a cause or a consequence of PaC is still controversial. We examined this association by conducting a detailed meta-analysis of cohort studies. Studies were identified by searching Medline and Embase through November 30, 2010. Summary relative risks (RRs) with their corresponding 95% confidence intervals (CIs) were calculated using a random-effects model. A total of thirty-five cohort studies were included in this meta-analysis. DM was associated with an increased risk of PaC (the summary RRs=1.94; 95% CI, 1.66-2.27), with significant evidence of heterogeneity among these studies (p<0.001, I²=93.6%). Subgroup analyses revealed that the increased risk of PaC was independent of geographic locations, sex, study design, alcohol consumption, body mass index (BMI) and smoking status. In addition, the relative risk of PaC was correlated negatively with the duration of DM, with the highest risk of PaC found among patients diagnosed within less than 1 year. There was no significant publication bias (p=0.136 for Egger's regression asymmetry test). Findings from this meta-analysis strongly support that diabetes is associated with an increased risk of PaC in both males and females and that DM is both an early manifestation and an etiologic factor of pancreatic cancer. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Pancreatic cancer: a report of treatment and survival trends for 100,313 patients diagnosed from 1985-1995, using the National Cancer Database.

            The National Cancer Database is an electronic registry system sponsored jointly by the American College of Surgeons Commission on Cancer and the American Cancer Society. Patients diagnosed with pancreatic adenocarcinoma from 1985 to 1995 were analyzed for trends in stage of disease, treatment patterns, and outcomes. Seven annual requests for data were issued by the National Cancer Database from 1989 through 1995. Data on 100,313 patients were voluntarily submitted using a standardized reporting format. The anatomic site distribution was: head, 78%; body, 11%; and tail, 11%. The ratios of limited to advanced disease (Stage I/Stage IV) were 0.70 for tumors in the head, 0.24 for body tumors, and 0.10 for tail tumors. Of all patients, 83% did not have a surgical procedure and 58% did not have cancer-directed treatment. Resection was done for 9,044 (9%) patients, including 22% of those with Stage I disease. The overall 5-year survival rate was 23.4% for patients who had pancreatectomy, compared with 5.2% for those who had no cancer-directed treatment. Overall survival rates for pancreatic cancer have not changed in 2 decades. A small minority of patients presented with limited, resectable disease, but the best survival rates per stage were achieved after surgical resection. Five-year survival rates after resection reported herein corroborated the improved survival rates of more recent large, single institution studies.
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              Targeted proteomic strategy for clinical biomarker discovery.

              The high complexity and large dynamic range of blood plasma proteins currently prohibit the sensitive and high-throughput profiling of disease and control plasma proteome sample sets large enough to reliably detect disease indicating differences. To circumvent these technological limitations we describe here a new two-stage strategy for the mass spectrometry (MS) assisted discovery, verification and validation of disease biomarkers. In an initial discovery phase N-linked glycoproteins with distinguishable expression patterns in primary normal and diseased tissue are detected and identified. In the second step the proteins identified in the initial phase are subjected to targeted MS analysis in plasma samples, using the highly sensitive and specific selected reaction monitoring (SRM) technology. Since glycosylated proteins, such as those secreted or shed from the cell surface are likely to reside and persist in blood, the two-stage strategy is focused on the quantification of tissue derived glycoproteins in plasma. The focus on the N-glycoproteome not only reduces the complexity of the analytes, but also targets an information-rich subproteome which is relevant for remote sensing of diseases in the plasma. The N-glycoprotein based biomarker discovery and validation workflow reviewed here allows for the robust identification of protein candidate panels that can finally be selectively monitored in the blood plasma at high sensitivity in a reliable, non-invasive and quantitative fashion.
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                Author and article information

                Journal
                J Proteome Res
                J. Proteome Res
                pr
                jprobs
                Journal of Proteome Research
                American Chemical Society
                1535-3893
                1535-3907
                26 February 2015
                26 February 2014
                04 April 2014
                : 13
                : 4
                : 1873-1884
                Affiliations
                []Department of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States
                []Division of Gastroenterology, Department of Internal Medicine, University of Michigan , Ann Arbor, Michigan 48109, United States
                [§ ]Department of Statistics, University of Michigan , Ann Arbor, Michigan 48109, United States
                []Department of Family Medicine, University of Michigan , Ann Arbor, Michigan 48109, United States
                Author notes
                [* ]D. M. Lubman. E-mail: dmlubman@ 123456umich.edu . Phone: 734-647-8834. Fax: 734-615-2088. Department of Surgery, The University of Michigan Medical Center, 1150 West Medical Center Drive, Building MSRB1 Room A510B, Ann Arbor, Michigan 48109-0656, United States.
                Article
                10.1021/pr400967x
                3993962
                24571389
                e19e3274-07ab-4957-9ce2-9886866de3de
                Copyright © 2014 American Chemical Society
                History
                : 23 September 2013
                Funding
                National Institutes of Health, United States
                Categories
                Article
                Custom metadata
                pr400967x
                pr-2013-00967x

                Molecular biology
                serum,pancreatic cancer,glycoprotein biomarker,quantitative proteomics,tmt protein-level labeling,elisa

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