American Association for Cancer Research
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Supplementary Table and Figures from Changes in the Glycosylation of Kininogen and the Development of a Kininogen-Based Algorithm for the Early Detection of HCC

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posted on 2023-03-31, 13:42 authored by Mengjun Wang, Miloslav Sanda, Mary Ann Comunale, Harmin Herrera, Charles Swindell, Yuko Kono, Amit G. Singal, Jorge Marrero, Timothy Block, Radoslav Goldman, Anand Mehta

Supplementary Table S1. Patient Characteristics for patients from the University of California at San Diego; Supplementary Table S2. Fitness of algorithms; Supplementary Table S3. Cross validations of potential models; Supplementary Table S4. Statistical inference of comparing models; Supplementary Figure S1. Scheme of study design;Supplementary Figure S2. Scatter plot; Supplementary Figure S3. AUROC for the individual components analyzed; Supplementary Figure S4. MALDI-TOF analysis of low molecular weight kininogen; Supplementary Figure S5. Glycopeptide analysis of tryptic glycopeptide 44-58; Supplementary Figure S6. Glycopeptide analysis of tryptic glycopeptide 197-208 showing identification of fucosylated glycopeptides; Supplementary Figure S7. Glycopeptide analysis of tryptic glycopeptide 289-300;

Funding

National Cancer Institute

Hepatitis B Foundation

The Commonwealth of Pennsylvania

Glycotest, INC.

History

ARTICLE ABSTRACT

Background: Hepatocellular carcinoma (HCC) has the greatest increase in mortality among all solids tumors in the United States related to low rates of early tumor detection. Development of noninvasive biomarkers for the early detection of HCC may reduce HCC-related mortality.Methods: We have developed an algorithm that combines routinely observed clinical values into a single equation that in a study of >3,000 patients from 5 independent sites improved detection of HCC as compared with the currently used biomarker, alpha-fetoprotein (AFP), by 4% to 20%. However, this algorithm had limited benefit in those with AFP <20 ng/mL. To that end, we have developed a secondary algorithm that incorporates a marker, fucosylated kininogen, to improve the detection of HCC, especially in those with AFP <20 ng/mL and early-stage disease.Results: The ability to detect early-stage AFP-negative (AFP <20 ng/mL) HCC increased from 0% (AFP alone) to 89% (for the new algorithm). Glycan analysis revealed that kininogen has several glycan modifications that have been associated with HCC, but often not with specific proteins, including increased levels of core and outer-arm fucosylation and increased branching.Conclusions: An algorithm combining fucosylated kininogen, AFP, and clinical characteristics is highly accurate for early HCC detection.Impact: Our biomarker algorithm could significantly improve early HCC detection and curative treatment eligibility in patients with cirrhosis. Cancer Epidemiol Biomarkers Prev; 26(5); 795–803. ©2017 AACR.