Evidence map›Paper›PMID 39324668›Full record

ArticleCancer reports (Hoboken, N.J.)2024

Analytical and Diagnostic Performance of a Dual-Target Blood Detection Test for Hepatocellular Carcinoma.

Qiankun Yang, Lanlan Dong, Lianglu Zhang, Wei Zhang, Yan Zhang, Yue Huang, Huifang Jin, Hao Yang, Xing Liu, Yanteng Zhao

Registry-linked trialAbstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05685524 (Development of Diagnostic Model for Multi-cancer Diagnosis Based on DNA Methylation Biomarkers), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

NCT05685524 unknown statusnot on this map

Development of Diagnostic Model for Multi-cancer Diagnosis Based on DNA Methylation Biomarkers

TypeobservationalSponsorWuhan Ammunition Life-tech Co., LtdRan2022 to 2023Enrolled3,000ConditionsCancerArmsDNA methylation test
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
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

10 authors.

Qiankun YangDepartment of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lanlan DongAcademic Department, Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, China.
Lianglu ZhangAcademic Department, Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, China.
Wei ZhangAcademic Department, Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, China.
Yan ZhangAcademic Department, Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, China.
Yue HuangAcademic Department, Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, China.
Huifang JinDepartment of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hao YangDepartment of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xing LiuDepartment of Infectious Disease and Liver Disease, the Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Yanteng ZhaoDepartment of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-9725-5776

Funding

Henan Provincial Science and Technology Research Project 232102310028
6 · The paper itself

Abstract

backgroundSurveillance approaches with high sensitivity and specificity for hepatocellular carcinoma (HCC) are still urgently needed. Previous studies have shown that methylation of GNB4 and Riplet can effectively diagnose HCC.

aimsThis study plan to analyze the performance of a blood test for detecting HCC using GNB4 and Riplet methylation. METHODS AND

resultsThis study mainly investigated the analytical performance of the dual-target HCC blood test (DT-HBT), including cut-off value, limit of detection (LOD), precision, analytical specificity, and coincidence rate. In addition, the detection performance for HCC was validated in 1030 clinical plasma samples (214 HCC and 816 non-HCC). Plasma samples from 25 HCC patients after hepatectomy were collected to assess the feasibility of the kit for postoperative recurrence monitoring. All analytical performance of the DT-HBT met prespecified requirements. The LOD for GNB4, Riplet, and β-actin was 1% methylation/100 copies/μL with cut-offs of 43, 43, and 35, respectively. The DT-HBT showed excellent precision, within 5% CV. It had a specificity of 91.5% for detecting other cancers, and 100% for breast, lung, and bladder cancer. No cross-reactions were observed with 9 potential interfering substances. The DT-HBT achieved a 100% coincidence rate in detecting reference and clinical samples. The clinical performance study found that the kit showed a sensitivity of 81.7% for stage I HCC, and an overall sensitivity and specificity of 87.4% and 92.3%, respectively. The detection sensitivity for postoperative recurrent patients was 95.8%, with a specificity of 100%.

conclusionThe analytical performance of the DT-HBT met prespecified criteria. It provided HCC patients with a reliable and high-performing new blood test for the HCC diagnosis and surveillance.

trial registrationClinicalTrials.gov identifier: NCT05685524.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsAdultAgedDNA MethylationFemaleHepatectomyHumansLimit of DetectionMaleMiddle AgedSensitivity and SpecificitySeptinsBiomarkers, TumorSEPTIN9 protein, humanSeptinscell‐free DNAcut‐off valuehepatocellular carcinomalimit of detectionmethylationprecision

Identifiers

PMID39324668
PMCPMC11425738

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Registered trials

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