Evidence map›Paper›PMID 37201049›Full record

ArticleJournal of gastrointestinal oncology2023

Identification and validation of the microRNAs and hub genes for pancreatic ductal adenocarcinoma by an integrated bioinformatic analysis.

Wenxiu Xin, Yuxuan Fu, Liangsheng Chen, Haiying Ding, Tingting Feng, Jiao Sun, Yajun Qi, Yan Hu, Qilu Fang, Luo Fang

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2023. 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
0.5field-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, 2 citations in OpenAlex.

  1. 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

10 authors at 1 institution in 1 country.

Wenxiu Xin *Department of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Yuxuan Fu *Wenzhou Medical University, Postgraduate Training Base of Zhejiang Cancer Hospital, Hangzhou, China.
Liangsheng ChenWenzhou Medical University, Postgraduate Training Base of Zhejiang Cancer Hospital, Hangzhou, China.
Haiying DingDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Tingting FengDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Jiao SunDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Yajun QiDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Yan HuDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Qilu FangDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Luo FangDepartment of Pharmacy, Zhejiang Cancer Hospital, Hangzhou, China.
Zhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the progression of pancreatic ductal adenocarcinoma (PDAC), aberrant micro RNAs (miRNAs) expression plays a crucial role. This study sought to identify and validate the key miRNAs and potential target genes involved in PDAC. A bioinformatic analysis was conducted to determine their potential use as biomarkers and therapeutic targets. Methods: Gene profiling data sets (GSE41372 and GSE32688) were retrieved from the Gene Expression Omnibus database. Differentially expressed miRNAs (DEMs) with a P value <0.05, and |fold change| >2 was identified. The prognostic value of the DEMs was accessed using the online server Kaplan-Meier plotter. Further, gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed using DAVID 6.7. The protein-protein interaction analyses were conducted with STRING, and miRNA-hub gene networks were constructed using Cytoscape software. The PDAC cells were transfected with miRNA inhibitors or mimics. Cell Counting Kit-8 assays and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining were used to examine cell proliferation and apoptosis, respectively. Wound-healing assays were performed to evaluate cell migration. Results: Three DEMs (hsa-miR-21-5p, hsa-miR-135b-5p, and hsa-miR-222-3p) were identified. High expression levels of hsa-miR-21-5p, hsa-miR-135b-5p, or hsa-miR-222-3p predicted poor overall survival in PDAC patients. The pathway analysis revealed that the predicted target genes of the DEMs were closely related to several signaling pathways (including 'pathways in cancer', 'miRNAs in cancer', 'platinum drug resistance', 'lipid and atherosclerosis', and 'MAPK signaling pathway'). The MYC proto-oncogene ( Conclusions: This study constructed the miRNA-hub gene network, which provides novel insights into the PDAC progression. Although further research is required, our results offer clues for new potential prognostic markers and therapeutic targets of PDAC.

Indexed as

bioinformatic analysishub genesmicro RNA (miRNA)Pancreatic ductal adenocarcinoma (PDAC)

Identifiers

PMID37201049
PMCPMC10186514
OpenAlexW4367857137

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.