Evidence map›Paper›PMID 32925730›Full record

Observational studyMedicine2020

MicroRNA expression profiling and target gene analysis in gastric cancer.

Chenguang Xu, Juan Xie, Yanping Liu, Fenfen Tang, Zhi Long, Yaodong Wang, Jiangyan Luo, Junda Li, Guoqing Li

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 2 countries.

Chenguang XuDepartment of Gastroenterology, the Second Affiliated Hospital, University of South China, Hengyang.
Juan XieResearch Lab of translational medicine.
Yanping LiuDepartment of Gastroenterology, the Second Affiliated Hospital, University of South China, Hengyang.
Fenfen TangDepartment of Gastroenterology, the Second Affiliated Hospital, University of South China, Hengyang.
Zhi LongDepartment of Gastroenterology, the Second Affiliated Hospital, University of South China, Hengyang.
Yaodong WangDepartment of Gastroenterology, the Second Affiliated Hospital, University of South China, Hengyang.
Jiangyan LuoDepartment of Ultrasonography, the Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, China.
Junda LiDepartment of Gastroenterology, People's Hospital of Longhua District, Shenzhen.
Guoqing LiDepartment of Gastroenterology, the Second Affiliated Hospital, University of South China, Hengyang.ORCID 0000-0001-5274-275
S.P.E.C.I.E.S. · USShenZhen People’s Hospital · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to identify differentially expressed microRNAs (miRNAs) in gastric cancer by comparing gastric cancerous tissues with normal tissues, explore the potential roles.The miRNA expression microarray was employed on gastric cancer tissues, and apparently normal para-cancerous tissues from 3 patients undergoing radical surgery were matched. Quantitative RT-PCR was performed on the other 7 patients to validate the findings of the microarray. Furthermore, Gene Ontology (GO) analysis and enrichment analysis of KEGG Pathway were performed for 5 dysregulated candidate miRNAs, including 3 upregulated (miR-31-3p, miR-6736-3p, and miR-147b) and 2 downregulated (miR-3065-5p and miR-3921) miRNAs, in order to determine the role of miRNAs in tumorigenesis and development.Among these miRNAs, 17 miRNAs were found to be upregulated, and 19 miRNAs were found to be downregulated. The dysregulated expression of 5 candidate miRNAs, including miR-31-3p, miR-147b, miR-6736-3p, miR-3065-5p, and miR-3921, were verified by quantitative RT-PCR in the validation set. Among these miRNAs, miR-31-3p, miR-6736-3p, miR-3065-5p, and miR-3921 had 551 target gene intersections. The GO and KEGG Pathway analyses Revealed that miR-31-3p, miR-6736-3p, miR-3065-5p, and miR-3921 may participate in multiple pathophysiological processes, such as foreign substance metabolism and chemical carcinogenesis.The profile of differentially expressed miRNAs was successfully screened, and 4 miRNAs (i.e., miR-31-3p, miR-6736-3p, miR-3065-5p, and miR-3921) appeared to be involved in gastric carcinogenesis. These might serve as promising biomarkers for gastric cancer.

Indexed as

Gene Expression ProfilingDown-RegulationGene Expression Regulation, NeoplasticHumansMicroRNAsReal-Time Polymerase Chain ReactionStomach NeoplasmsUp-RegulationMicroRNAs

Identifiers

PMID32925730
PMCPMC7489646
OpenAlexW3084864881

What OpenQuestion holds

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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.