Principal Investigator

Brian B.
Haab
Awardee Organization

Van Andel Research Institute
United States

Fiscal Year
2021
Activity Code
U01
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Detection and prognosis of early-stage pancreatic cancer by interdependent plasma markers

Pancreatic cancer is alone among the major cancers in its increasing prevalence, and it is predicted to be the second-leading cause of cancer death by 2030. A strategy to help reverse this trend is to identify and treat more pancreatic cancers at an early stage of the disease, when surgery and therapeutics are most effective. Currently no biomarker is good enough to be used for the detection of early-stage disease in people at elevated risk for pancreatic cancer. In our preliminary research, we have developed biomarkers a) that have better sensitivity and specificity for early-stage cancer than the current best biomarker for pancreatic cancer, CA 19-9, and b) that can detect cancers that are low in CA 19-9. The several individual biomarkers complement each other because each is elevated in distinct groups of patients. These encouraging results lead us to propose that a biomarker panel developed from these and related biomarkers will provide the necessary performance to enable clinical detection and diagnosis of early-stage pancreatic cancer. A second strategy for improving outcomes is to better identify those early-stage cancers that will rapidly progress. Some cancers that appear to be early-stage and resectable show progression within a short time after surgery. Biomarkers to identify such cancers would allow better treatment for those patients, as they could be spared the risk and recovery time of surgery and immediately begin the appropriate systemic treatment, likely leading to better results. Currently, we have no accurate indicators of rapid progression after surgery. One of the biomarkers discovered in our preliminary research is elevated in most patients who have rapid progression after surgery, suggesting the possibility of its use as a progression biomarker. Our goal is to develop biomarkers that will be effective for detecting early-stage pancreatic cancer (Aim 1) and for identifying the early-stage cancers that will rapidly progress (Aim 2). We will pursue this goal by optimizing the existing biomarkers and bolstering them with additional biomarkers, and by developing, testing, and validating panels of biomarkers that improve performance over the individual biomarkers. We hypothesize that the biomarker panels can achieve the performance required for further clinical validation. We are in a good position to achieve our goal, given the promising biomarkers already discovered and the convergence of all the other factors necessary for a successful project: we have assembled a team of top experts in the clinical, technological, and statistical fields, plus we have the sample resources, patient base, experimental methods, institutional environment and support, and passion as a team to deliver high-impact results.

Publications

  • Haab BB, Partyka K, Cao Z. Using antibody arrays to measure protein abundance and glycosylation: considerations for optimal performance. Current protocols in protein science. 2013 Sep 24;73:27.6.1-27.6.16. PMID: 24510592
  • Fallon BP, Curnutte B, Maupin KA, Partyka K, Choi S, Brand RE, Langmead CJ, Tembe W, Haab BB. The Marker State Space (MSS) method for classifying clinical samples. PloS one. 2013 Jun 4;8(6):e65905. Print 2013. PMID: 23750276
  • Ensink E, Sinha J, Sinha A, Tang H, Calderone HM, Hostetter G, Winter J, Cherba D, Brand RE, Allen PJ, Sempere LF, Haab BB. Segment and fit thresholding: a new method for image analysis applied to microarray and immunofluorescence data. Analytical chemistry. 2015 Oct 6;87(19):9715-21. Epub 2015 Sep 11. PMID: 26339978
  • Ivry SL, Sharib JM, Dominguez DA, Roy N, Hatcher SE, Yip-Schneider MT, Schmidt CM, Brand RE, Park WG, Hebrok M, Kim GE, O'Donoghue AJ, Kirkwood KS, Craik CS. Global Protease Activity Profiling Provides Differential Diagnosis of Pancreatic Cysts. Clinical cancer research : an official journal of the American Association for Cancer Research. 2017 Aug 15;23(16):4865-4874. Epub 2017 Apr 19. PMID: 28424202
  • Wisniewski L, Braak S, Klamer Z, Gao C, Shi C, Allen P, Haab BB. Heterogeneity of glycan biomarker clusters as an indicator of recurrence in pancreatic cancer. Frontiers in oncology. 2023 Apr 12;13:1135405. doi: 10.3389/fonc.2023.1135405. eCollection 2023. PMID: 37124496
  • Chao DT, Shah NH, Zeh HJ 3rd, Singhi AD, Bahary N, McGrath KM, Fasanella KE, Zureikat AH, Whitcomb DC, Brand RE. Overweight or Obese Individuals at Eighteen Years of Age Develop Pancreatic Adenocarcinoma at a Significantly Earlier Age. Gastroenterology research and practice. 2018 Jun 5;2018:2380596. doi: 10.1155/2018/2380596. eCollection 2018. PMID: 29967636
  • Correa-Gallego C, Brennan MF, Dʼangelica M, Fong Y, Dematteo RP, Kingham TP, Jarnagin WR, Allen PJ. Operative drainage following pancreatic resection: analysis of 1122 patients resected over 5 years at a single institution. Annals of surgery. 2013 Dec;258(6):1051-8. PMID: 23360918
  • Barnett D, Liu Y, Partyka K, Huang Y, Tang H, Hostetter G, Brand RE, Singhi AD, Drake RR, Haab BB. The CA19-9 and Sialyl-TRA Antigens Define Separate Subpopulations of Pancreatic Cancer Cells. Scientific reports. 2017 Jun 22;7(1):4020. PMID: 28642461
  • Gao C, Wisniewski L, Liu Y, Staal B, Beddows I, Plenker D, Aldakkak M, Hall J, Barnett D, Gouda MK, Allen P, Drake R, Zureikat A, Huang Y, Evans D, Singhi A, Brand RE, Tuveson DA, Tsai S, Haab BB. Detection of Chemotherapy-resistant Pancreatic Cancer Using a Glycan Biomarker, sTRA. Clinical cancer research : an official journal of the American Association for Cancer Research. 2021 Jan 1;27(1):226-236. Epub 2020 Oct 22. PMID: 33093149
  • Haab BB, Yue T. High-throughput studies of protein glycoforms using antibody-lectin sandwich arrays. Methods in molecular biology (Clifton, N.J.). 2011;785:223-36. PMID: 21901603
  • Chopra A, Zamora R, Vodovotz Y, Hodges JC, Barclay D, Brand R, Simmons RL, Lee KK, Paniccia A, Murthy P, Lotze MT, Boone BA, Zureikat AH. Baseline Plasma Inflammatory Profile Is Associated With Response to Neoadjuvant Chemotherapy in Patients With Pancreatic Adenocarcinoma. Journal of immunotherapy (Hagerstown, Md. : 1997). 2021 Jun 1;44(5):185-192. PMID: 33935273
  • Winter JM, Tang LH, Klimstra DS, Brennan MF, Brody JR, Rocha FG, Jia X, Qin LX, D'Angelica MI, DeMatteo RP, Fong Y, Jarnagin WR, O'Reilly EM, Allen PJ. A novel survival-based tissue microarray of pancreatic cancer validates MUC1 and mesothelin as biomarkers. PloS one. 2012;7(7):e40157. Epub 2012 Jul 6. PMID: 22792233
  • Lu C, Wonsidler JL, Li J, Du Y, Block T, Haab B, Chen S. Chemically-blocked antibody microarray for multiplexed high-throughput profiling of specific protein glycosylation in complex samples. Journal of visualized experiments : JoVE. 2012 May 4;(63):e3791. PMID: 22588202
  • Tang H, Hsueh P, Kletter D, Bern M, Haab B. The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities. Advances in cancer research. 2015;126:167-202. Epub 2015 Feb 7. PMID: 25727148
  • 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. Enhanced discrimination of malignant from benign pancreatic disease by measuring the CA 19-9 antigen on specific protein carriers. PloS one. 2011;6(12):e29180. Epub 2011 Dec 29. PMID: 22220206
  • Partyka K, Maupin KA, Brand RE, Haab BB. Diverse monoclonal antibodies against the CA 19-9 antigen show variation in binding specificity with consequences for clinical interpretation. Proteomics. 2012 Jul;12(13):2212-20. PMID: 22623153
  • Gbormittah FO, Lee LY, Taylor K, Hancock WS, Iliopoulos O. Comparative studies of the proteome, glycoproteome, and N-glycome of clear cell renal cell carcinoma plasma before and after curative nephrectomy. Journal of proteome research. 2014 Nov 7;13(11):4889-900. Epub 2014 Sep 10. PMID: 25184692
  • McCarter C, Kletter D, Tang H, Partyka K, Ma Y, Singh S, Yadav J, Bern M, Haab BB. Prediction of glycan motifs using quantitative analysis of multi-lectin binding: Motifs on MUC1 produced by cultured pancreatic cancer cells. Proteomics. Clinical applications. 2013 Oct;7(9-10):632-41. Epub 2013 Sep 13. PMID: 23956151
  • Tang H, Singh S, Partyka K, Kletter D, Hsueh P, Yadav J, Ensink E, Bern M, Hostetter G, Hartman D, Huang Y, Brand RE, Haab BB. Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A. Molecular & cellular proteomics : MCP. 2015 May;14(5):1323-33. Epub 2015 Mar 2. PMID: 25733690
  • Klamer ZL, Harris CM, Beirne JM, Kelly JE, Zhang J, Haab BB. CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platforms. Glycobiology. 2022 Jul 13;32(8):679-690. PMID: 35352123
  • Gbormittah FO, Haab BB, Partyka K, Garcia-Ott C, Hancapie M, Hancock WS. Characterization of glycoproteins in pancreatic cyst fluid using a high-performance multiple lectin affinity chromatography platform. Journal of proteome research. 2014 Jan 3;13(1):289-99. Epub 2013 Dec 13. PMID: 24303806
  • Haab BB, Huang Y, Balasenthil S, Partyka K, Tang H, Anderson M, Allen P, Sasson A, Zeh H, Kaul K, Kletter D, Ge S, Bern M, Kwon R, Blasutig I, Srivastava S, Frazier ML, Sen S, Hollingsworth MA, Rinaudo JA, Killary AM, Brand RE. Definitive Characterization of CA 19-9 in Resectable Pancreatic Cancer Using a Reference Set of Serum and Plasma Specimens. PloS one. 2015 Oct 2;10(10):e0139049. doi: 10.1371/journal.pone.0139049. eCollection 2015. PMID: 26431551
  • Yue T, Partyka K, Maupin KA, Hurley M, Andrews P, Kaul K, Moser AJ, Zeh H, Brand RE, Haab BB. Identification of blood-protein carriers of the CA 19-9 antigen and characterization of prevalence in pancreatic diseases. Proteomics. 2011 Sep;11(18):3665-74. Epub 2011 Aug 2. PMID: 21751362
  • Haab BB, Klamer Z. Advances in Tools to Determine the Glycan-Binding Specificities of Lectins and Antibodies. Molecular & cellular proteomics : MCP. 2020 Feb;19(2):224-232. Epub 2019 Dec 17. PMID: 31848260
  • Root A, Allen P, Tempst P, Yu K. Protein Biomarkers for Early Detection of Pancreatic Ductal Adenocarcinoma: Progress and Challenges. Cancers. 2018 Mar 7;10. (3). PMID: 29518918
  • Reatini BS, Ensink E, Liau B, Sinha JY, Powers TW, Partyka K, Bern M, Brand RE, Rudd PM, Kletter D, Drake R, Haab BB. Characterizing Protein Glycosylation through On-Chip Glycan Modification and Probing. Analytical chemistry. 2016 Dec 6;88(23):11584-11592. Epub 2016 Nov 15. PMID: 27809484
  • West MB, Partyka K, Feasley CL, Maupin KA, Goppallawa I, West CM, Haab BB, Hanigan MH. Detection of distinct glycosylation patterns on human γ-glutamyl transpeptidase 1 using antibody-lectin sandwich array (ALSA) technology. BMC biotechnology. 2014 Dec 6;14:101. PMID: 25479762
  • Klamer Z, Hsueh P, Ayala-Talavera D, Haab B. Deciphering Protein Glycosylation by Computational Integration of On-chip Profiling, Glycan-array Data, and Mass Spectrometry. Molecular & cellular proteomics : MCP. 2019 Jan;18(1):28-40. Epub 2018 Sep 26. PMID: 30257876
  • Maker AV, Katabi N, Qin LX, Klimstra DS, Schattner M, Brennan MF, Jarnagin WR, Allen PJ. Cyst fluid interleukin-1beta (IL1beta) levels predict the risk of carcinoma in intraductal papillary mucinous neoplasms of the pancreas. Clinical cancer research : an official journal of the American Association for Cancer Research. 2011 Mar 15;17(6):1502-8. Epub 2011 Jan 25. PMID: 21266527
  • Zeng Z, Hincapie M, Haab BB, Hanash S, Pitteri SJ, Kluck S, Hogan JM, Kennedy J, Hancock WS. The development of an integrated platform to identify breast cancer glycoproteome changes in human serum. Journal of chromatography. A. 2010 May 7;1217(19):3307-15. Epub 2009 Sep 16. PMID: 19782370
  • Klamer Z, Haab B. Combined Analysis of Multiple Glycan-Array Datasets: New Explorations of Protein-Glycan Interactions. Analytical chemistry. 2021 Aug 10;93(31):10925-10933. Epub 2021 Jul 28. PMID: 34319080
  • Cao Z, Partyka K, McDonald M, Brouhard E, Hincapie M, Brand RE, Hancock WS, Haab BB. Modulation of glycan detection on specific glycoproteins by lectin multimerization. Analytical chemistry. 2013 Feb 5;85(3):1689-98. Epub 2013 Jan 16. PMID: 23286506
  • Tang H, Partyka K, Hsueh P, Sinha JY, Kletter D, Zeh H, Huang Y, Brand RE, Haab BB. Glycans related to the CA19-9 antigen are elevated in distinct subsets of pancreatic cancers and improve diagnostic accuracy over CA19-9. Cellular and molecular gastroenterology and hepatology. 2016 Feb 1;2(2):201-221.e15. PMID: 26998508
  • Klamer Z, Staal B, Prudden AR, Liu L, Smith DF, Boons GJ, Haab B. Mining High-Complexity Motifs in Glycans: A New Language To Uncover the Fine Specificities of Lectins and Glycosidases. Analytical chemistry. 2017 Nov 21;89(22):12342-12350. Epub 2017 Nov 3. PMID: 29058413
  • Sinha J, Cao Z, Dai J, Tang H, Partyka K, Hostetter G, Simeone DM, Feng Z, Allen PJ, Brand RE, Haab BB. A Gastric Glycoform of MUC5AC Is a Biomarker of Mucinous Cysts of the Pancreas. PloS one. 2016 Dec 19;11(12):e0167070. doi: 10.1371/journal.pone.0167070. eCollection 2016. PMID: 27992432
  • Barnett D, Hall J, Haab B. Automated Identification and Quantification of Signals in Multichannel Immunofluorescence Images: The SignalFinder-IF Platform. The American journal of pathology. 2019 Jul;189(7):1402-1412. Epub 2019 Apr 23. PMID: 31026417
  • Singh S, Pal K, Yadav J, Tang H, Partyka K, Kletter D, Hsueh P, Ensink E, Kc B, Hostetter G, Xu HE, Bern M, Smith DF, Mehta AS, Brand R, Melcher K, Haab BB. Upregulation of glycans containing 3' fucose in a subset of pancreatic cancers uncovered using fusion-tagged lectins. Journal of proteome research. 2015 Jun 5;14(6):2594-605. Epub 2015 May 12. PMID: 25938165
  • Haab BB. Using lectins in biomarker research: addressing the limitations of sensitivity and availability. Proteomics. Clinical applications. 2012 Aug;6(7-8):346-50. PMID: 22927350
  • Cao Z, Maupin K, Curnutte B, Fallon B, Feasley CL, Brouhard E, Kwon R, West CM, Cunningham J, Brand R, Castelli P, Crippa S, Feng Z, Allen P, Simeone DM, Haab BB. Specific glycoforms of MUC5AC and endorepellin accurately distinguish mucinous from nonmucinous pancreatic cysts. Molecular & cellular proteomics : MCP. 2013 Oct;12(10):2724-34. Epub 2013 Jul 8. PMID: 23836919
  • Partyka K, McDonald M, Maupin KA, Brand R, Kwon R, Simeone DM, Allen P, Haab BB. Comparison of surgical and endoscopic sample collection for pancreatic cyst fluid biomarker identification. Journal of proteome research. 2012 May 4;11(5):2904-11. Epub 2012 Apr 4. PMID: 22439797
  • Kletter D, Cao Z, Bern M, Haab B. Determining lectin specificity from glycan array data using motif segregation and GlycoSearch software. Current protocols in chemical biology. 2013;5(2):157-69. PMID: 23839995
  • Kletter D, Singh S, Bern M, Haab BB. Global comparisons of lectin-glycan interactions using a database of analyzed glycan array data. Molecular & cellular proteomics : MCP. 2013 Apr;12(4):1026-35. Epub 2013 Feb 11. PMID: 23399549
  • Maupin KA, Liden D, Haab BB. The fine specificity of mannose-binding and galactose-binding lectins revealed using outlier motif analysis of glycan array data. Glycobiology. 2012 Jan;22(1):160-9. Epub 2011 Aug 29. PMID: 21875884