Evidence map›Paper›PMID 38547309›Full record

ArticleCell cycle (Georgetown, Tex.)2024

Identification and validation of key miRNAs and a microRNA-mRNA regulatory network associated with liver cancer.

Jie Tang, Song Li, Zixiao Zhou, Weicai Chang, Yongqiang Wang, Juan Mei, Shaobo Zhou

Open access · hybridAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Jie TangGeneral Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Song LiDepartment of Hepatobiliary pancreatic gastrointestinal Surgery, JinHua People's Hospital, JinHua, China.
Zixiao ZhouXiangya Medical College, Central South University, Changsha, China.
Weicai ChangAnhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China.
Yongqiang WangGeneral Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Juan MeiPathology Department, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Shaobo ZhouGeneral Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China.
The Second Affiliated Hospital of Bengbu Medical College · CNBengbu Medical College · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MiRNAs play crucial regulatory roles in the growth and development of tumor cells by serving as carriers of post-transcriptional regulatory information derived from genes. Investigating the potential function and clinical significance of miRNA-mediated mRNA regulatory networks in liver cancer can offer novel insights and therapeutic strategies for the treatment of this disease. We identified 300 differentially expressed miRNAs, and five miRNAs were identified to be correlated with overall survival and could be used as an independent prognostic. GO enrichment analysis mainly included carboxylic acid biosynthesis, organic acid biosynthesis, peroxisomal membrane, microsomal membrane, DNA binding, C-acyltransferase activity, etc. KEGG enrichment analysis showed that the pathways of target genes related to liver cancer were mainly focused on butyric acid metabolism and partial amino acid metabolism. Eight of the top 10 HUB genes were associated with prognosis, and the expression of four genes was positively correlated with prognosis, of which ABAT, BHMT, and SHMT1 were target genes of hsa-miR-5003-3p. MiR-5003-3p inhibits ABAT/BHMT/SHMT1 expression, thereby promoting liver cancer development. Overall, our study provides new ideas for the treatment of liver cancer, and these five miRNAs may be independent prognostic biomarkers and therapeutic targets for liver cancer patients. And miR-5003-3p may be a critical factor in the mechanism of liver cancer development.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksLiver NeoplasmsMicroRNAsRNA, MessengerBiomarkers, TumorFemaleGene Expression ProfilingHumansMalePrognosisBiomarkers, TumorMicroRNAsRNA, MessengerLiver cancermiR-5003-3pmiRNAmRNAprognostic biomarker

Identifiers

PMID38547309
PMCPMC11174128
OpenAlexW4393253759

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.