Evidence map›Paper›PMID 33094914›Full record

ArticleCancer medicine2020

Screening and bioinformatics analysis of a ceRNA network based on the circular RNAs, miRNAs, and mRNAs in pan-cancer.

Zhanghan Chen, Jie Huang, Yanling Feng, Zehuan Li, Ying Jiang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 12 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

5 authors at 2 institutions in 1 country.

Zhanghan ChenDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-5767-0326
Jie HuangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Yanling FengDepartment of Pathology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zehuan LiDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-8084-7428
Ying JiangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-2644-3964
Sun Yat-sen University · CNShanghai Public Health Clinical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pan-cancer analysis has recently brought us into a novel level of cancer research. Nowadays, the Circular RNAs (circRNAs) is becoming increasingly important in the occurrence and progression of tumors. Nevertheless, the specific expression patterns and functions of circRNAs in the pan-cancer remains unclear. Here we aimed to explore the expression patterns and functions of circRNAs in pan-cancer.

methodsWe combined our microarray with seven circRNA arrays from the Gene Expression Omnibus (GEO) database and transcriptome profiles were acquired from The Cancer Genome Atlas (TCGA) database. A circRNA-miRNA-mRNA network was created and analyzed using multiple bioinformatic approaches including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, Search Tool for the Retrieval of Interacting Genes (STRING) database, cytoHubba and MCODE app. Cell function assays including CCK-8 analysis, colony formation, and transwell assay were used to explore pan-circRNAs' functions.

resultsA panel of 6 circRNAs, 11 miRNAs, and 318 mRNAs was found to be differentially expressed (DE) in pan-cancer. A circRNA-miRNA-mRNA network was also constructed. Then, a circRNA-miRNA-hub gene network was created according to 5 pan-circRNAs, 8 pan-miRNAs, and 16 pan-mRNAs. Enrichment analysis pointed out the possible association of DEmRNAs with pan-cancer is transcriptional misregulation in cancer. Overexpression of hsa_circ_0004639 and silence of hsa_circ_0008310 can inhibit the malignant biological properties of cancer cells.

conclusionsSix pan-circRNAs were discovered and their regulating mechanisms were predicted. Those findings together will give a new insight into pan-cancer research and present potential therapy targeting as well as promising biomarkers.

Indexed as

Computational BiologyBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationDatabases, Nucleic AcidGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMicroRNAsNeoplasm InvasivenessNeoplasmsOligonucleotide Array Sequence AnalysisProtein Interaction MapsRNA, CircularBiomarkers, TumorMicroRNAsRNA, CircularRNA, Messengerbioinformatics analysisceRNA networkcircRNApan‐cancer

Identifiers

PMID33094914
PMCPMC7541145
OpenAlexW3049018944

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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.