Evidence map›Paper›PMID 38411789›Full record

ArticleMolecular biotechnology2025

Comprehensive Analysis of circRNA, lncRNA, miRNA and mRNA Expression Profiles and Their Competing Endogenous RNA Networks in Hepatitis B Virus-Related Hepatocellular Carcinoma.

Shaoying Yan, Peng Fu, Huiming Li, Zikun Huang, Renfeng Shan, Binbin Gong

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2025. 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
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Deciphering the role ofWorld journal of hepatology · 2025
    Review
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 1 institution in 1 country.

Shaoying YanDepartment of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Peng FuDepartment of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Huiming LiDepartment of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Zikun HuangDepartment of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Renfeng ShanDepartment of General Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China. ndyfy02036@ncu.edu.cn.
Binbin GongDepartment of Urology, The First Affiliated Hospital of Nanchang University, No.17, Yongwaizheng Street, Nanchang, 330006, Jiangxi, China. ndyfy05944@ncu.edu.cn.ORCID http://orcid.org/0009-0000-4278-9335
Nanchang University · CN

Funding

High-end Talents Project of Jiangxi Double Thousand Plan Science and Technology Innovation jxsq2019201094Jiangxi Provincial Natural Science Foundation 20212BAB206036Jiangxi Provincial Natural Science Foundation 20232BAB216067National Natural Science Foundation of China 82060446Science Fund for Distinguished Young Scholars of Jiangxi Province 20212ACB216006
6 · The paper itself

Abstract

Pursuing knowledge about circular RNA (circRNA), long non-coding RNA (lncRNA), microRNA (miRNA), and messenger RNA (mRNA) expression profiles and their competing endogenous RNA (ceRNA) networks in hepatitis B virus-related hepatocellular carcinoma (HBV-related HCC) was the focus of this research. Expression patterns of circRNAs, lncRNAs, miRNAs, and mRNAs were searched for in relation to HBV-related HCC using whole-transcriptome sequencing. The expression levels of chosen circRNA, lncRNA, miRNA, and mRNA were analyzed using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The potential connections and roles of ceRNA were deduced via bioinformatics research. The sum of 284 circRNAs, 2,927 lncRNAs, 693 miRNAs, and 5566 mRNAs were discovered to be expressed at considerably different levels in HBV-related HCC tissue and adjacent normal tissue. And the most significantly up- and down-regulated circRNAs, lncRNAs, miRNAs, and mRNAs were verified in HBV-related HCC by qRT-PCR. The circRNA/miRNA/mRNA and lncRNA/miRNA/mRNA networks of HBV-related HCC were established, and the ceRNA regulatory networks revealed the gene expression mechanisms controlled by ncRNAs. Collectively, we revealed the contribution of various circRNA, lncRNA, miRNA, and mRNA expression profiles and identified their ceRNA regulatory networks in HBV-related HCC, providing a theoretical basis for further exploration.

Indexed as

Carcinoma, HepatocellularGene Expression Regulation, NeoplasticGene Regulatory NetworksHepatitis B virusLiver NeoplasmsMicroRNAsRNA, CircularRNA, Long NoncodingRNA, MessengerComputational BiologyFemaleGene Expression ProfilingHepatitis BHumansMaleMiddle AgedMicroRNAsRNA, CircularRNA, Competitive EndogenousRNA, Long NoncodingRNA, MessengerceRNAcircRNAHBVHepatocellular carcinomalncRNAmiRNAmRNA

Identifiers

PMID38411789
OpenAlexW4392194874

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.