Evidence map›Paper›PMID 40003874›Full record

ArticleInternational journal of molecular sciences2025

Identifying Essential Hub Genes and circRNA-Regulated ceRNA Networks in Hepatocellular Carcinoma.

Xiaoqian Yu, Hao Xu, Yutao Xing, Dehui Sun, Dangdang Li, Jinming Shi, Guangchao Sui, Guangyue Li

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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. Article
  4. 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

8 authors.

Xiaoqian YuCollege of Life Science, Northeast Forestry University, Harbin 150040, China.ORCID 0009-0003-6139-3522
Hao XuCollege of Life Science, Northeast Forestry University, Harbin 150040, China.
Yutao XingCollege of Life Science, Northeast Forestry University, Harbin 150040, China.
Dehui SunCollege of Life Science, Northeast Forestry University, Harbin 150040, China.
Dangdang LiCollege of Life Science, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0001-6407-9705
Jinming ShiCollege of Life Science, Northeast Forestry University, Harbin 150040, China.
Guangchao SuiCollege of Life Science, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0002-8164-5585
Guangyue LiCollege of Life Science, Northeast Forestry University, Harbin 150040, China.

Funding

the Fundamental Research Funds for the Central Universities 2572022DQ06the National Natural Science Foundation of China 82273107the National Natural Science Foundation of China 82472721
6 · The paper itself

Abstract

Competitive endogenous RNAs (ceRNAs) absorb microRNAs and subsequently promote corresponding mRNA and long noncoding RNA (lncRNA) expression, which may alter cancer cell malignancy. Thus, dissecting ceRNA networks may reveal novel targets in cancer therapies. In this study, we analyzed differentially expressed genes (DEGs) of mRNAs and lncRNAs, and differentially expressed microRNAs (DE-miRNAs) and circular RNAs (DE-circRNAs) extracted from high-throughput sequencing datasets of hepatocellular carcinoma patients. Based on these data, we identified 26 gene modules using weighted gene co-expression network analysis (WGCNA), of which 5 were associated with tumor differentiation. In these modules, 269 genes were identified by GO and KEGG enrichment and patient's survival correlation analyses. Next, 40 DE-miRNAs, each of which potentially bound a pair of DE-circRNA and hub gene, were discovered. Together with 201 circRNAs and 24 hub genes potentially bound by these miRNAs, 1151 ceRNA networks were constructed. Among them, 75 ceRNA networks consisting of 24 circRNAs, 28 miRNAs and 17 hub genes showed a positive circRNA-hub gene correlation. For validation, we carried out experiments for 4 randomly selected circRNAs regulating 19 potential ceRNA networks and verified 5 of them. This study represents a powerful strategy to identify essential gene networks and provides insights into designing effective therapeutic strategies.

Indexed as

Carcinoma, HepatocellularGene Expression Regulation, NeoplasticGene Regulatory NetworksLiver NeoplasmsRNA, CircularComputational BiologyGene Expression ProfilingHumansMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingRNA, MessengerMicroRNAsRNA, CircularRNA, Competitive EndogenousRNA, Long NoncodingRNA, MessengerceRNA networkcircular RNAhepatocellular carcinomahub genemicroRNA

Identifiers

PMID40003874
PMCPMC11855757

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.