Evidence map›Paper›PMID 33284888›Full record

ArticleInternational journal of clinical and experimental pathology2020

Construction of ceRNA network and identification of two differentially expressed circRNAs in hepatocellular carcinoma by bioinformatic analysis.

Hongwei He, Zhong Shen, Qiyun Gu, Rong Xie

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Hongwei HeDepartment of Hepatobiliary Surgery, Jinshan Branch of The Sixth People's Hospital of Shanghai China.
Zhong ShenDepartment of General Surgery, Jinshan Branch of The Sixth People's Hospital of Shanghai China.
Qiyun GuDepartment of Hepatobiliary Surgery, Jinshan Branch of The Sixth People's Hospital of Shanghai China.
Rong XieDepartment of General Surgery, Jinshan Branch of The Sixth People's Hospital of Shanghai China.
Shanghai Sixth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covalently closed circular RNAs (circRNAs) display dysregulated expression in several types of cancer. However, their functions remain largely unclear. In this work, datasets GSE125469 and GSE128274 of hepatocellular carcinoma (HCC) were selected from Gene Expression Omnibus (GEO) database. To identify differentially expressed genes (DEGs) in HCC and adjacent tissues, we used R package DESeq for analysis. Then, 15 DEcircRNAs, 65 DEmiRNAs, and 2084 DEmRNAs were identified comparing HCC and normal tissues. Next, to predict the target relationship of circRNA-miRNA and miRNA-mRNA in DEGs, we use the databases CircInteractome and starBase v2.0 for analysis. Finally, the ceRNA network of circRNA-miRNA-mRNA was established by Cytoscape software based on 2 DEcircRNAs (hsa_circ_0007813 and hsa_circ_0089372), 2 DEmiRNAs, and 98 DEmRNAs. In addition, we conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of DEGs to explore the function of DEGs in HCC. Functional enrichment analyses indicated DEmRNAs might be associated with HCC occurrence and progression. In general, our research reveals an important role of ceRNA's molecular mechanism in HCC.

Indexed as

ceRNAcircRNADEGsHCC

Identifiers

PMID33284888
PMCPMC7716122
OpenAlexW3110997875

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.