Evidence map›Paper›PMID 33399102›Full record

ArticleIET systems biology2020

Identification and analysis of circRNA-miRNA-mRNA regulatory network in hepatocellular carcinoma.

Daxiang Zhou, Ling Dong, Lishan Yang, Qiang Ma, Feng Liu, Yanjie Li, Shu Xiong

Open access · bronzeAbstract read
In one paragraph

Article in IET systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Daxiang ZhouChongqing Engineering Laboratory of Green Planting and Deep Processing of famous-region drug in the Three Gorges Reservoir Region, College of Biology and Food Engineering, Chongqing Three Gorges University, Chongqing 404120, People's Republic of China.
Ling DongChongqing Center for Drug Certification and Evaluation, Chongqing, 401120 People's Republic of China.
Lishan YangDepartment of Basic Medicine, Chongqing Three Gorges Medical College, Chongqing 404120, People's Republic of China.
Qiang MaDepartment of Basic Medicine, Chongqing Three Gorges Medical College, Chongqing 404120, People's Republic of China.
Feng LiuDepartment of Basic Medicine, Chongqing Three Gorges Medical College, Chongqing 404120, People's Republic of China.
Yanjie LiChongqing Engineering Laboratory of Green Planting and Deep Processing of famous-region drug in the Three Gorges Reservoir Region, College of Biology and Food Engineering, Chongqing Three Gorges University, Chongqing 404120, People's Republic of China.
Shu XiongDepartment of Basic Medicine, Chongqing Three Gorges Medical College, Chongqing 404120, People's Republic of China. ciyag53303@163.com.
Chongqing Three Gorges University · CNChongqing Municipal Government · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was to identify important circRNA-miRNA-mRNA (ceRNAs) regulatory mechanisms in hepatocellular carcinoma (HCC). The circRNA dataset GSE97332 and miRNA dataset GSE57555 were used for analyses. Functional enrichment analysis for miRNA and target gene was conducted using cluster Profiler. Survival analysis was conducted through R package Survival. The ceRNAs and drug-gene interaction networks were constructed. The ceRNAs network contained five miRNAs including hsa-miR-25-3p, hsa-miR-3692-5p, hsa-miR-4270, hsa-miR-331-3p, and hsa-miR-125a-3p. Among the network, hsa-miR-25-3p targeted the most genes, hsa-miR-3692-5p and hsa-miR-4270 were targeted by more circRNAs than other miRNAs, hsa-circ-0034326 and hsa-circ-0011950 interacted with three miRNAs. Furthermore, target genes, including

Indexed as

Carcinoma, HepatocellularGene Regulatory NetworksLiver NeoplasmsMicroRNAsRNA, CircularRNA, MessengerGene Expression Regulation, NeoplasticHumansSurvival AnalysisMicroRNAsRNA, CircularRNA, Messenger

Identifiers

PMID33399102
PMCPMC8687197
OpenAlexW3108580735

What OpenQuestion holds

Textmetadata
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.