Literature DB >> 22623153

Diverse monoclonal antibodies against the CA 19-9 antigen show variation in binding specificity with consequences for clinical interpretation.

Katie Partyka1, Kevin A Maupin, Randall E Brand, Brian B Haab.   

Abstract

The CA 19-9 antigen is currently the best individual marker for the detection of pancreatic cancer. In order to optimize the CA 19-9 assay and to develop approaches to further improve cancer detection, it is important to understand the specificity differences between CA 19-9 antibodies and the consequential affect on biomarker performance. Antibody arrays enabled multiplexed comparisons between five different CA 19-9 antibodies used in the analysis of plasma samples from pancreatic cancer patients and controls. Major differences were observed between antibodies in their detection of particular patient samples. Glycan array analysis revealed that certain antibodies were highly specific for the canonical CA 19-9 epitope, sialyl-Lewis A, while others bound sialyl-Lewis A in addition to a related structure called sialyl-Lewis C and modification with Nue5Gc. In a much larger patient cohort, we confirmed the binding of sialyl-Lewis C glycan by one of the antibodies and showed that the broader specificity led to the detection of an increased number of cancer patients without increasing detection of pancreatitis patient samples. This work demonstrates that variation between antibody specificity for cancer-associated glycans can have significant implications for biomarker performance and highlights the value of characterizing and detecting the range of glycan structures that are elevated in cancer.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22623153      PMCID: PMC3711024          DOI: 10.1002/pmic.201100676

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  38 in total

1.  Predictive and prognostic value of CA 19-9 in resected pancreatic adenocarcinoma.

Authors:  Joshua G Barton; John P Bois; Michael G Sarr; Christina M Wood; Rui Qin; Kristine M Thomsen; Michael L Kendrick; Michael B Farnell
Journal:  J Gastrointest Surg       Date:  2009-09-09       Impact factor: 3.452

2.  Lewis and secretor gene dosages affect CA19-9 and DU-PAN-2 serum levels in normal individuals and colorectal cancer patients.

Authors:  H Narimatsu; H Iwasaki; F Nakayama; Y Ikehara; T Kudo; S Nishihara; K Sugano; H Okura; S Fujita; S Hirohashi
Journal:  Cancer Res       Date:  1998-02-01       Impact factor: 12.701

3.  Distribution of Lewis (FUT3)genotype and allele: frequencies in a biethnic United States population.

Authors:  B Cakir; J S Pankow; V Salomaa; D Couper; T L Morris; K R Brantley; K M Hiller; G Heiss; B W Weston
Journal:  Ann Hematol       Date:  2002-10-11       Impact factor: 3.673

4.  High-throughput studies of protein glycoforms using antibody-lectin sandwich arrays.

Authors:  Brian B Haab; Tingting Yue
Journal:  Methods Mol Biol       Date:  2011

5.  Printed covalent glycan array for ligand profiling of diverse glycan binding proteins.

Authors:  Ola Blixt; Steve Head; Tony Mondala; Christopher Scanlan; Margaret E Huflejt; Richard Alvarez; Marian C Bryan; Fabio Fazio; Daniel Calarese; James Stevens; Nahid Razi; David J Stevens; John J Skehel; Irma van Die; Dennis R Burton; Ian A Wilson; Richard Cummings; Nicolai Bovin; Chi-Huey Wong; James C Paulson
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-24       Impact factor: 11.205

6.  Extensive enrichment of N-glycolylneuraminic acid in extracellular sialoglycoproteins abundantly synthesized and secreted by human cancer cells.

Authors:  Sadako Inoue; Chihiro Sato; Ken Kitajima
Journal:  Glycobiology       Date:  2010-03-01       Impact factor: 4.313

Review 7.  Systematic review of carbohydrate antigen (CA 19-9) as a biochemical marker in the diagnosis of pancreatic cancer.

Authors:  K S Goonetilleke; A K Siriwardena
Journal:  Eur J Surg Oncol       Date:  2006-11-09       Impact factor: 4.424

Review 8.  Glycan arrays for functional glycomics.

Authors:  Kurt Drickamer; Maureen E Taylor
Journal:  Genome Biol       Date:  2002-11-27       Impact factor: 13.583

9.  A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins.

Authors:  Andrew Porter; Tingting Yue; Lee Heeringa; Steven Day; Edward Suh; Brian B Haab
Journal:  Glycobiology       Date:  2009-11-29       Impact factor: 4.313

10.  The prevalence and nature of glycan alterations on specific proteins in pancreatic cancer patients revealed using antibody-lectin sandwich arrays.

Authors:  Tingting Yue; Irwin J Goldstein; Michael A Hollingsworth; Karen Kaul; Randall E Brand; Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2009-04-17       Impact factor: 5.911

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  22 in total

Review 1.  The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities.

Authors:  Huiyuan Tang; Peter Hsueh; Doron Kletter; Marshall Bern; Brian Haab
Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

2.  Upregulation of glycans containing 3' fucose in a subset of pancreatic cancers uncovered using fusion-tagged lectins.

Authors:  Sudhir Singh; Kuntal Pal; Jessica Yadav; Huiyuan Tang; Katie Partyka; Doron Kletter; Peter Hsueh; Elliot Ensink; Birendra Kc; Galen Hostetter; H Eric Xu; Marshall Bern; David F Smith; Anand S Mehta; Randall Brand; Karsten Melcher; Brian B Haab
Journal:  J Proteome Res       Date:  2015-05-12       Impact factor: 4.466

3.  A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Authors:  Nguyen Phuoc Long; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Dong Kyu Lim; Yu Jin Hong; Soon-Sun Hong; Sung Won Kwon
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

Review 4.  Glycoprotein disease markers and single protein-omics.

Authors:  Kevin Chandler; Radoslav Goldman
Journal:  Mol Cell Proteomics       Date:  2013-02-11       Impact factor: 5.911

5.  The sTRA Plasma Biomarker: Blinded Validation of Improved Accuracy Over CA19-9 in Pancreatic Cancer Diagnosis.

Authors:  Ben Staal; Ying Liu; Daniel Barnett; Peter Hsueh; Zonglin He; ChongFeng Gao; Katie Partyka; Mark W Hurd; Aatur D Singhi; Richard R Drake; Ying Huang; Anirban Maitra; Randall E Brand; Brian B Haab
Journal:  Clin Cancer Res       Date:  2019-01-07       Impact factor: 12.531

6.  Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A.

Authors:  Huiyuan Tang; Sudhir Singh; Katie Partyka; Doron Kletter; Peter Hsueh; Jessica Yadav; Elliot Ensink; Marshall Bern; Galen Hostetter; Douglas Hartman; Ying Huang; Randall E Brand; Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2015-03-02       Impact factor: 5.911

Review 7.  Early diagnosis of pancreatic cancer: challenges and new developments.

Authors:  Sukhwinder Kaur; Michael J Baine; Maneesh Jain; Aaron R Sasson; Surinder K Batra
Journal:  Biomark Med       Date:  2012-10       Impact factor: 2.851

Review 8.  Circulating biomarkers for early diagnosis of pancreatic cancer: facts and hopes.

Authors:  Xu Zhang; Si Shi; Bo Zhang; Quanxing Ni; Xianjun Yu; Jin Xu
Journal:  Am J Cancer Res       Date:  2018-03-01       Impact factor: 6.166

9.  The Marker State Space (MSS) method for classifying clinical samples.

Authors:  Brian P Fallon; Bryan Curnutte; Kevin A Maupin; Katie Partyka; Sunguk Choi; Randall E Brand; Christopher J Langmead; Waibhav Tembe; Brian B Haab
Journal:  PLoS One       Date:  2013-06-04       Impact factor: 3.240

10.  Biomarkers and Strategy to Detect Preinvasive and Early Pancreatic Cancer: State of the Field and the Impact of the EDRN.

Authors:  Ying Liu; Sukhwinder Kaur; Ying Huang; Johannes F Fahrmann; Jo Ann Rinaudo; Samir M Hanash; Surinder K Batra; Aatur D Singhi; Randall E Brand; Anirban Maitra; Brian B Haab
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-06-12       Impact factor: 4.254

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