Evidence map›Paper›PMID 41869803›Full record

ArticleTechnology in cancer research & treatment

Screening of Hepatocellular Carcinoma in Hepatic Cirrhosis Patients by a Novel Blood-Based Multi-Omics Test.

Lei Chen, Jun Liu, Mengcheng Long, Pinghai Hu

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Lei ChenDepartment of Hepatopancreatobiliary, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Jun LiuDepartment of Hepatopancreatobiliary, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Mengcheng LongDepartment of Hepatopancreatobiliary, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Pinghai HuDepartment of Hepatopancreatobiliary, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.ORCID 0000-0002-6543-3435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionHepatocellular carcinoma (HCC) screening in patients with hepatic cirrhosis (HC) relies on ultrasound and alpha-fetoprotein (US + AFP), which has limitations in sensitivity, particularly for early-stage HCC detection. This study aims to evaluate the performance of a novel multi-omics blood test, HCCscreen, with its individual components (methylation, AFP, Des-γ-Carboxy Prothrombin (DCP), mutations) and the standard US + AFP for HCC screening in a hepatic cirrhotic population.MethodsA total of 5078 patients with known high-risk for HCC were recruited. A prospective screening study was conducted on 650 patients with hepatic cirrhosis identified by ultrasound. Blood samples were collected from all patients before the confirmation of diagnosis by imaging and/or pathological examinations. The performance of HCCscreen, individual markers and US + AFP were calculated and compared. Statistics was performed with Graphpad Prism 5.0.ResultsHCCscreen exhibited a sensitivity of 86.3% at a specificity of 81.3%, with a positive predictive value (PPV) of 28.2% and a negative predictive value (NPV) of 98.6%. The positive likelihood ratio (LR+) was 4.61 and the negative LR (LR-) was 0.17. The positive detection rate (PDR) for all markers increased with more advanced HCC stages, whether Barcelona Clinic Liver Cancer (BCLC) or clinical staging. Among the single-omics, methylation showed the highest PDR, followed by AFP, DCP and mutations. HCCscreen demonstrated superior overall performance with an AUC of 0.87, outperforming individual markers like methylation (AUC = 0.76), AFP (AUC = 0.83), and DCP (AUC = 0.77). Crucially, HCCscreen's PDR was significantly higher than US + AFP in early-stage HCC (BCLC-0 and clinical stage I). Furthermore, while AFP's PDR varied significantly by sex, HCCscreen's performance remained consistent across all demographics. Correlation analysis revealed a significant association only between the HCCscreen score and the methylation score.ConclusionsThe multi-omics approach of HCCscreen significantly enhances early HCC detection in patients with hepatic cirrhosis compared to both its individual components and the current standard of US + AFP. Its robust and consistent performance across patient demographics underscores its potential as a superior tool for population-wide early HCC screening.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver CirrhosisLiver NeoplasmsAdultAgedalpha-FetoproteinsBiomarkersDNA MethylationEarly Detection of CancerFemaleHumansMaleMiddle AgedMultiomicsMutationacarboxyprothrombinalpha-FetoproteinsBiomarkersBiomarkers, TumorProtein PrecursorsProthrombinAFPcirrhosisDCPhepatocellular carcinomamethylationmutationPIVKA-IIscreening

Identifiers

PMID41869803
PMCPMC13009828

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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.