A Quantitative Global Proteomics Approach Identifies Candidate Urinary Biomarkers That Correlate With Intraductal Papillary Mucinous Neoplasm Dysplasia.

Journal Article (Journal Article)

OBJECTIVES: A proteomic discovery study was performed to determine if urine possesses a unique biosignature that could form the basis for a noninvasive test able to predict intraductal papillary mucinous neoplasm (IPMN) dysplasia. METHODS: Urine was collected from patients undergoing surgery for IPMN (72 low/moderate, 27 high-grade/invasive). Quantitative mass spectrometry-based proteomics was performed. Proteins of interest were identified by differential expression analysis followed by principal component analysis. RESULTS: Proteomics identified greater than 4800 urinary proteins. Low/moderate and high-grade/invasive IPMN were distinguished by 188 proteins (P < 0.05). Following principal component analysis and heatmap visualization, vitamin D binding protein (DBP), apolipoprotein A1 (APOA1), and alpha-1 antitrypsin (A1AT) were selected. The proteomic abundance of DBP (median [interquartile range]) was significantly higher for high-grade/invasive than for low/moderate IPMN (219,735 [128,882-269,943] vs. 112,295 [77,905-180,773] normalized reporter ion intensity units; P = 0.001). Similarly, APOA1 was more abundant in the high-grade/invasive than low/moderate groups (235,420 [144,933-371,247] vs 150,095 [103,419-236,591]; P = 0.0007) as was A1AT (567,514 [358,544-774,801] vs 358,393 [260,850-477,882]; P = 0.0006). CONCLUSIONS: Urinary DBP, APOA1, and A1AT represent potential biomarker candidates that may provide a noninvasive means of predicting IPMN dysplastic grade.

Full Text

Duke Authors

Cited Authors

  • Flick, KF; Yip-Schneider, MT; Sublette, CM; Simpson, RE; Colgate, CL; Wu, H; Soufi, M; Dewitt, JM; Mosley, AL; Ceppa, EP; Zhang, J; Schmidt, CM

Published Date

  • September 2020

Published In

Volume / Issue

  • 49 / 8

Start / End Page

  • 1044 - 1051

PubMed ID

  • 32769857

Electronic International Standard Serial Number (EISSN)

  • 1536-4828

Digital Object Identifier (DOI)

  • 10.1097/MPA.0000000000001628


  • eng

Conference Location

  • United States