Evidence map›Paper›PMID 40686613›Full record

ArticleiScience2025

Establishing a miRNA panel for hepatocellular carcinoma screening through a multicenter study.

Kelvin Ka Ki Ng, Yanjun Lu, Jia Qiu, Zihan Yang, Xiaoyu Zhou, Hui Xie, Zhihang Zhou, Mengsu Yang

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

8 authors.

Kelvin Ka Ki NgDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Futian Research Institute, Shenzhen, Guangdong, China.
Yanjun LuDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Jia QiuDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Futian Research Institute, Shenzhen, Guangdong, China.
Zihan YangDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Futian Research Institute, Shenzhen, Guangdong, China.
Xiaoyu ZhouDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Futian Research Institute, Shenzhen, Guangdong, China.
Hui XieSenior Department of Oncology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Zhihang ZhouDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Futian Research Institute, Shenzhen, Guangdong, China.
Mengsu YangDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Futian Research Institute, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients with hepatocellular carcinoma (HCC) are often diagnosed at advanced stages, limiting the effectiveness of curative treatments. In a multicenter study involving 522 patients with HCC and liver cirrhosis, predominantly with hepatitis B virus infection, we evaluated plasma microRNAs (miRNAs) as potential liquid biopsy biomarkers for early HCC screening. Significant upregulation of 18 miRNAs in HCC patients was confirmed across three stages. We conducted a meta-analysis integrating our results with existing literature based on pooled effect size, successfully confirming the upregulation of 4 miRNAs in our findings. Employing an explainable machine learning approach, we established a 5-miRNA panel (miR-361-5p+ miR-130a-3p+ miR-27a-3p+ miR-30d-5p+ miR-193a-5p) with alpha-fetoprotein (AFP) for HCC screening. This combined panel demonstrated superior diagnostic performance compared to AFP alone (AUC: 0.924 vs. 0.794;

Indexed as

CancerMolecular biology

Identifiers

PMID40686613
PMCPMC12275877

What OpenQuestion holds

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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.