Evidence map›Paper›PMID 38482429›Full record

ArticleTranslational cancer research2024

Construction of an exosome-associated miRNA-mRNA regulatory network and validation of

Li Chen, Linglin Lai, Lingbo Zheng, Youzhi Wang, Huiqin Lu, Yan Chen

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Exosomal ncRNAs in reproductive cancers†.Biology of reproduction · 2025
    Review
  3. Article
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 3 institutions in 1 country.

Li ChenDepartment of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.
Linglin LaiDepartment of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.
Lingbo ZhengDepartment of Traditional Chinese Medicine, Guangdong Second Provincial General Hospital, Guangzhou, China.
Youzhi WangSchool of Information Engineering and Business Management, Guangdong Nanhua Vocational College of Industry and Commerce, Guangzhou, China.
Huiqin LuDepartment of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.
Yan ChenDepartment of Clinical Research, Guangdong Second Provincial General Hospital, Guangzhou, China.
Guangdong Provincial People's Hospital · CNGuangdong Provincial Hospital of Traditional Chinese Medicine · CNGuangzhou Vocational College of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The occurrence and development of several human physiological processes are significantly influenced by the competing endogenous RNA (ceRNA) network. The aim of the present study was to construct a microRNA (miRNA)-mRNA network associated with exosomes in ovarian cancer (OV), and experimental validation of key target genes. Methods: By exploring the Gene Expression Omnibus (GEO) database, we analyzed the RNAs from 226 samples to identify differentially expressed miRNAs (DEMs) and genes (DEGs) that showed differential expression as OV progressed. Subsequently, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on the DEGs. Furthermore, we constructed a miRNA-mRNA network that pertains to exosomes in OV using DEMs and DEGs. Moreover, we validated the expression levels of mRNAs in the miRNA-mRNA network using Gene Expression Profiling Interactive Analysis (GEPIA2). Ultimately, luciferase reporter assay was used to identify the potential target relationship between FYVE and coiled-coil domain containing 1 ( Results: Our analysis screened a total of 14 DEMs and 101 DEGs, and the DEGs were mainly enriched in DNA replication or repair, amino acid biosynthesis and carbon metabolism. Furthermore, a miRNA-mRNA network was constructed including 3 miRNAs (hsa-miR-17-5p, hsa-miR-20b-5p and hsa-miR-20a-5p) and 2 mRNAs, Conclusions: By constructing a novel network of miRNA-mRNA, we can gain new understanding of the molecular mechanisms that drive exosomes in OV. Targeting

Indexed as

exosomesFYVE and coiled-coil domain containing 1 (FYCO1)hsa-miR-17-5pMiRNA-mRNA networkovarian cancer (OV)

Identifiers

PMID38482429
PMCPMC10928626
OpenAlexW4392301018

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.