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Cancer Immunodiagnostics
Haab Laboratory
The Haab Laboratory works to enable more accurate detection and diagnosis of pancreatic cancer and to identify key factors in cancer progression and dissemination. Our approaches make heavy use of understanding the nature and functions of changes to carbohydrates in pancreatic cancer.
News
Novel blood test could improve outcomes in pancreatic cancer
Jennifer Southall | Healio
26 April 2019
Casting a broader net
Luke Turner | The Pathologist
25 April 2019
Adding blood test for pancreatic cancer may aid early detection
Robert Preidt | U.S. News and World Report
28 Jan. 2019
Making pancreatic cancer treatment personal
VAI Voice
29 Nov. 2016
Van Andel Institute discovery could help diagnose precursor to pancreatic cancer
14 Aug. 2013
Technologies and software
Software – MotifFinder. This software enables the automated analysis of glycan array data.
Software – SignalFinder-Microarray (SignalFinderMA). This software enables the automated analysis of microarray images.
Pancreatic Cancer Biomarkers and Diagnostic Methods
Methods for Detecting Protein Glycosylation
Software – Marker State Space (MSS). This program is for the development of biomarker panels
SlideImprinter for the partitioning of microscope slides, available from the Gel Company
Featured Publications
Staal B*, Liu Y*, Barnett D*, et al. The sTRA plasma biomarker: Blinded validation of improved accuracy over CA19-9 in pancreatic cancer diagnosis. Clin Cancer Res.
Klamer Z et al. Mining high-complexity motifs in glycans: A new language to uncover the fine specificities of lectins and glycosidases. Anal Chem.
Barnett D et al. The CA19-9 and Sialyl-TRA antigens define separate subpopulations of pancreatic cancer cells. Sci Rep.
Ensink E et al. Segment and fit thresholding: A new method for image analysis applied to microarray and immunofluorescence data Anal Chem
Tang H et al. Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A. Mol Cell Proteomics
Cao Z et al. Specific glycoforms of MUC5AC and endorepellin accurately distinguish mucinous from nonmucinous pancreatic cysts. Mol Cell Proteomics
Porter A et al. A motif-based analysis of glycan array data to determine the specificities of glycan-binding proteins. Glycobiology
Yue T et al. Enhanced discrimination of malignant from benign pancreatic disease by measuring the CA 19-9 antigen on specific protein carriers. Yue T, Maupin KA, Fallon B, Li L, Partyka K, Anderson MA, Brenner DE, Kaul K, Zeh H, Moser AJ, Simeone DM, Feng Z, Brand RE, Haab BB. PLoS One
Chen S et al. Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays. Chen S, LaRoche T, Hamelinck D, Bergsma D, Brenner D, Simeone D, Brand RE, Haab BB. Nat Methods
Our new paper in Clinical Cancer Research describes a new screening approach for pancreatic cancer. Read about it here:
New combination blood test for pancreatic cancer may catch disease earlier - VAI
www.vai.org
GRAND RAPIDS, Mich. (Jan. 17, 2019) — A new approach to pancreatic cancer screening may help doctors detect the disease in people at high risk before it reaches more advanced and difficult-to treat stages. A team led by Van Andel Research Institute (VARI) scientists has developed a new, simple blo...
Great news! Dr. Haab has been appointed as an assistant dean of Van Andel Institute Graduate School!
Dr. Brian Haab named assistant dean of Van Andel Institute Graduate School - VAI
vaigs.vai.org
GRAND RAPIDS, Mich. (October 16, 2018) — Van Andel Institute Graduate School has named pancreatic cancer expert and long-time faculty member Brain Haab, Ph.D., as an assistant dean. In his new role, Haab will focus on designing and implementing curriculum for the school’s rigorous, problem-based...ResearchGate
Dr. Haab is on ResearchGate! Learn more here.