Evidence map›Paper›PMID 39511689›Full record

ArticleJournal of translational medicine2024

Cross-sectional study on the diagnostic significance of plasma exosomal miRNAs in HBV-related hepatocellular carcinoma.

Xiaoyuan Hu, Fa Huang, Jiyou Yao, Jiaxian Lv, Jialuo Mai, Ning Li, Minqiang Lu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

  1. [Advancement in the role of exosomes for hepatitis B virus infection diagnosis and treatment: mechanisms and clinical applications].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoyuan Hu *Department of Hepatic-Biliary-Pancreatic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
Fa Huang *Department of Anesthesiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiyou YaoDepartment of Hepatic-Biliary-Pancreatic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
Jiaxian LvThe First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jialuo MaiDepartment of Hepatic-Biliary-Pancreatic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
Ning LiDepartment of Hepatic-Biliary-Pancreatic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
Minqiang LuDepartment of Hepatic-Biliary-Pancreatic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. larrylmq@outlook.com.ORCID 0000-0002-5030-8666

Funding

Guangzhou Municipal Science and Technology Project 201704020153Guangzhou Municipal Science and Technology Project 202002030387Key Laboratory in Science and Technology Development Project of Suzhou 2021-2023
6 · The paper itself

Abstract

purposeHepatocellular carcinoma (HCC) associated with Hepatitis B Virus (HBV) is one of the most severe malignancies in East Asia, where early diagnosis is crucial for improving patient prognosis. So we aim to identify effective early diagnostic model for HCC. DESIGN AND

methodsWe enrolled 108 early-stage HCC patients and 102 non-HCC individuals underlying HBV infection, collecting plasma exosomal miRNAs (exo-miRNAs) from all participants. These patients were randomly assigned to sequencing, screening, training, and validation group. After preliminary screening of candidate exo-miRNAs by next-generation high-throughput sequencing, qPCR data from the screening group were utilized in conjunction with the random forest machine learning algorithm to identify candidate exo-miRNAs with diagnostic potential. Subsequently, logistic regression diagnostic model was constructed using the relative expression levels of candidate exo-miRNAs, alpha-fetoprotein (AFP) levels and clinical parameters of gender and the presence of cirrhosis from the training group. The diagnostic accuracy of diagnostic model was subsequently validated in the validation group.

resultsFirstly, we identified miR-212-5p, miR-1248, and miR-1250-5p as candidate exo-miRNAs with potential diagnostic value. The exo-miRNAs panel, which consisted of miR-212-5p, miR-1248, miR-1250-5p, along with clinical parameters of gender and cirrhosis, achieved an AUC of 0.8634 (95% CI: 0.8027-0.9241), demonstrating diagnostic performance non-inferior to AFP in the independent dataset. Subsequently, by combining exo-miRNAs, AFP level and clinical parameter of gender, we enhanced the diagnostic panel, miRAGe, which exhibited an AUC of 0.9499 (95% CI: 0.9192-0.9806), sensitivity of 0.8900, and specificity of 0.9468.

conclusionOur study indicates that the miRAGe panel has low rate of both missed diagnosis and misdiagnosis rates, potentially serving as a useful diagnostic tool for HBV-related HCC in early stage, which may subsequently contribute to improve the prognosis.

Indexed as

Carcinoma, HepatocellularExosomesHepatitis B virusLiver NeoplasmsMicroRNAsAdultCross-Sectional StudiesFemaleHepatitis BHumansMaleMiddle AgedReproducibility of ResultsROC CurveMicroRNAsAlpha-fetoproteinDiagnostic biomarkersEarly diagnosisExosomeGenderHBV infectionHepatic cirrhosisHepatocellular carcinomaLiquid biopsymicroRNAs

Identifiers

PMID39511689
PMCPMC11546246

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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.