Journal article
Changes in the Glycosylation of Kininogen and the Development of a Kininogen-Based Algorithm for the Early Detection of HCC
Cancer epidemiology, biomarkers & prevention, v 26(5), pp 795-803
01 May 2017
PMID: 28223431
Featured in Collection : UN Sustainable Development Goals @ Drexel
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. (C) 2017 AACR.
Metrics
Details
- Title
- Changes in the Glycosylation of Kininogen and the Development of a Kininogen-Based Algorithm for the Early Detection of HCC
- Creators
- Mengjun Wang - Medical University of South CarolinaMiloslav Sanda - Georgetown University Medical CenterMary Ann Comunale - Drexel UniversityHarmin Herrera - Drexel UniversityCharles Swindell - Glycotest, Inc, New York, New York.Yuko Kono - University of California, San DiegoAmit G. Singal - The University of Texas Southwestern Medical CenterJorge Marrero - The University of Texas Southwestern Medical CenterTimothy Block - Baruch S. Blumberg InstituteRadoslav Goldman - Georgetown University Medical CenterAnand Mehta - Medical University of South Carolina
- Publication Details
- Cancer epidemiology, biomarkers & prevention, v 26(5), pp 795-803
- Publisher
- Amer Assoc Cancer Research
- Number of pages
- 9
- Grant note
- R01 CA120206; U01 CA168856; UO1 CA171146; RO1 CA135069 / National Cancer Institute (NCI); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) Glycotest, INC. Hepatitis B Foundation R01CA120206 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) S10OD016441 / OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Microbiology and Immunology
- Web of Science ID
- WOS:000400524700018
- Scopus ID
- 2-s2.0-85019268664
- Other Identifier
- 991019168827904721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology
- Public, Environmental & Occupational Health