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HepatoScoreā€14: Measures of Biological Heterogeneity Significantly Improve Prediction of Hepatocellular Carcinoma Risk

Authors :
Robert A. Wolff
Lianchun Xiao
Reham Abdel-Wahab
Michael Weylandt
Manal M. Hassan
Karri Ballard
James C. Yao
Bhawana George
Asif Rashid
Liang Li
Abedul Haque
Zeya Wang
Donghui Li
Wenyi Wang
Yehia I. Mohamed
Genevera I. Allen
Ahmed Kaseb
Hesham M. Amin
Ye Emma Zohner
Jeffrey S. Morris
Kanwal Pratap Singh Raghav
Source :
Hepatology
Publication Year :
2021
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2021.

Abstract

BACKGROUND AND AIMS Therapeutic, clinical trial entry and stratification decisions for hepatocellular carcinoma (HCC) are made based on prognostic assessments, using clinical staging systems based on small numbers of empirically selected variables that insufficiently account for differences in biological characteristics of individual patients' disease. APPROACH AND RESULTS We propose an approach for constructing risk scores from circulating biomarkers that produce a global biological characterization of individual patient's disease. Plasma samples were collected prospectively from 767 patients with HCC and 200 controls, and 317 proteins were quantified in a Clinical Laboratory Improvement Amendments-certified biomarker testing laboratory. We constructed a circulating biomarker aberration score for each patient, a score between 0 and 1 that measures the degree of aberration of his or her biomarker panel relative to normal, which we call HepatoScore. We used log-rank tests to assess its ability to substratify patients within existing staging systems/prognostic factors. To enhance clinical application, we constructed a single-sample score, HepatoScore-14, which requires only a subset of 14 representative proteins encompassing the global biological effects. Patients with HCC were split into three distinct groups (low, medium, and high HepatoScore) with vastly different prognoses (medial overall survival 38.2/18.3/7.1 months; P

Details

ISSN :
15273350 and 02709139
Volume :
73
Database :
OpenAIRE
Journal :
Hepatology
Accession number :
edsair.doi.dedup.....8a86f6d8d389bc307e38270a1313a866