Evidence map›Paper›PMID 36497452›Full record

ArticleCancers2022

A Biomarker Panel Based upon AFP, Fucosylated Kininogen and PEG-Precipitated IgG Is Highly Accurate for the Early Detection Hepatocellular Carcinoma in Patients with Cirrhosis in Phase II and Phase III Biomarker Evaluation.

Mengjun Wang, Amit G Singal, Neehar Parikh, Yuko Kono, Jorge Marrero, Anand Mehta

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Mengjun WangBasic Science Building Room 310, Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, SC 29425, USA.
Amit G SingalDivision of Digestive and Liver Diseases, University of Texas Southwestern, 5959 Harry Hines Blvd POB I Suite 420B, Dallas, TX 75201, USA.
Neehar ParikhDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Yuko KonoDivision of Gastroenterology, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Jorge MarreroDivision of Gastroenterology, University of Pennsylvania, 3400 Civic Center Boulevard South Pavilion, 4th Floor, Philadelphia, PA 19104, USA.
Anand MehtaBasic Science Building Room 310, Department of Cell and Molecular Pharmacology, Medical University of South Carolina, 173 Ashley Avenue, Charleston, SC 29425, USA.
Medical University of South Carolina · USThe University of Texas Southwestern Medical Center · USUniversity of California, San Diego · USUniversity of Michigan–Ann Arbor · USUniversity of Pennsylvania · US

Funding

Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DON C. ROCKEY · 2020 to 2026
$8.8M
Clinical Validation Center for Hepatocellular CarcinomaU01CA271887 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI FASIHA KANWAL, JORGE A MARRERO · 2022 to 2026
$4.7M
Precision Risk Stratification and Screening for HCC among Patients with Cirrhosis in the United StatesU01CA230694 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2022
$3.5M
Statin Therapy for patients with compensated CirrhosisU01DK130113 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neehar Dilip Parikh, Elliot Tapper · 2021 to 2026
$3.4M
NOVEL STRATEGIES TO IMPROVE LIVER CANCER SURVEILLANCE UPTAKE AND EARLY DETECTIONU01CA230669 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOK, ANNA S.F., SU, GRACE L. · 2018 to 2022
$3.3M
Glycopathology of HCC: identification of the source cells of serum fucosylationU01CA226052 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DRAKE, RICHARD R., HOSHIDA, YUJIN · 2019 to 2023
$2.8M
Translation of a biomarker panel for the early detection of hepatocellular carcinomaR01CA237659 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MARRERO, JORGE A, MEHTA, ANAND S. · 2019 to 2023
$2.5M
CONTRAST-ENHANCED ULTRASOUND EVALUATION OF FOCAL LIVER LESIONS IN PATIENTS WITH CIRRHOSIS OR OTHER RISK FACTORS FOR DEVELOPING HCCR01CA215520 · NCI · THOMAS JEFFERSON UNIVERSITY · PI LYSHCHIK, ANDREJ · 2017 to 2020
$2.4M
Precision Screening for Hepatocellular Carcinoma in Patients with CirrhosisR01CA222900 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2023
$2.4M
Tumor Detection and Classification using QUS Technology's Structure FunctionR01CA226528 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI O'BRIEN, WILLIAM D. · 2019 to 2024
$2.3M
NCI NIH HHS R01 CA215520NCI NIH HHS R01 CA222900NCI NIH HHS R01 CA226528NCI NIH HHS R01 CA237659NCI NIH HHS U01 CA226052NCI NIH HHS U01 CA230669NCI NIH HHS U01 CA230694NCI NIH HHS U01 CA271887NIDDK NIH HHS P30 DK123704NIDDK NIH HHS U01 DK130113
6 · The paper itself

Abstract

We have previously identified alterations in glycosylation on serum proteins from patients with HCC and developed plate-based assays using lectins to detect the change in glycosylation. However, heterophilic antibodies, which increase with non-malignant liver disease, compromised these assays. To address this, we developed a method of polyethylene glycol (PEG) precipitation that removed the contaminating IgG and IgM but allowed for the lectin detection of the relevant glycoprotein. We found that this PEG-precipitated material itself could differentiate between cirrhosis and HCC. In the analysis of three training cohorts and one validation cohort, consisting of 571 patients, PEG-IgG had AUC values that ranged from 0.713 to 0.810. In the validation cohort, which contained samples from patients at a time of 1-6 months prior to HCC detection or 7+ months prior to detection, the AUC of this marker remained consistent (0.813 and 0.846, respectively). When this marker was incorporated into a biomarker algorithm that also consisted of AFP and fucosylated kininogen, the AUROC increased to 0.816-0.883 in the training cohort and was 0.909 in the external validation cohort. Biomarker performance was also examined though the analysis of partial ROC curves, at false positive values less than 10% (90-ROC), ≤20% (80-ROC) or ≤30% (70-ROC), which highlighted the algorithm's improvement over the individual markers at clinically relevant specificity values.

Indexed as

biomarkerglycosylationhepatocellular carcinomahumanimmunoglobulin

Identifiers

PMID36497452
PMCPMC9740205
OpenAlexW4311289914

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.