Evidence map›Paper›PMID 34258170›Full record

ArticleAnalytical cellular pathology (Amsterdam)2021

Comprehensive Analysis of Competing Endogenous RNA Network Focusing on Long Noncoding RNA Involved in Cirrhotic Hepatocellular Carcinoma.

Yuli Zhang, Dinggui Chen, Miaomiao Yang, Xianfeng Qian, Chunmei Long, Zhongwei Zheng

Open access · goldAbstract read
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. lncRNA EGOT across cancers: TCGA analysis.Archives of medical science : AMS · 2026
    Article
  3. Article
  4. Molecular Subtypes of Head and Neck Cancer in Patients of African Ancestry.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  5. 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

6 authors at 1 institution in 1 country.

Yuli ZhangDepartment of Pharmacy, The Third People's Hospital of Changzhou, Changzhou City, Jiangsu Province 213001, China.ORCID https://orcid.org/0000-0003-3892-8827
Dinggui ChenDepartment of Gastroenterology, The Third People's Hospital of Changzhou, 300 Lanling North Road, Changzhou City, Jiangsu 213001, China.ORCID https://orcid.org/0000-0002-6452-6357
Miaomiao YangDepartment of Gastroenterology, The Third People's Hospital of Changzhou, 300 Lanling North Road, Changzhou City, Jiangsu 213001, China.ORCID https://orcid.org/0000-0001-6279-2478
Xianfeng QianDepartment of Gastroenterology, The Third People's Hospital of Changzhou, 300 Lanling North Road, Changzhou City, Jiangsu 213001, China.ORCID https://orcid.org/0000-0002-6812-7871
Chunmei LongDepartment of Gastroenterology, The Third People's Hospital of Changzhou, 300 Lanling North Road, Changzhou City, Jiangsu 213001, China.ORCID https://orcid.org/0000-0003-3801-7302
Zhongwei ZhengDepartment of Gastroenterology, The Third People's Hospital of Changzhou, 300 Lanling North Road, Changzhou City, Jiangsu 213001, China.ORCID https://orcid.org/0000-0002-0049-6355
Changzhou Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of long noncoding RNAs- (lncRNAs-) associated competing endogenous RNA (ceRNA) in the field of hepatocellular carcinoma (HCC) biology is well established, but the involvement of lncRNAs competing interactions in the progression of liver cirrhosis to HCC is still unclear. We aimed to explore the differential expression profiles of lncRNAs, microRNAs (miRNA), and messenger RNAs (mRNAs) to construct a functional ceRNA network in cirrhotic HCC. The lncRNA, miRNA, and mRNA expression datasets were obtained from Gene Expression Omnibus and The Cancer Genome Atlas. Based on miRanda and TargetScan, the HCC-specific ceRNA network was constructed to illustrate the coexpression regulatory relationship of lncRNAs, miRNAs, and mRNAs. The potential prognostic indicators in the network were confirmed by survival analysis and validated by qRT-PCR. A total of 74 lncRNAs, 36 intersection miRNAs, and 949 mRNAs were differentially expressed in cirrhotic HCC samples compared with cirrhosis samples. We constructed a ceRNA network, including 47 lncRNAs, 35 miRNAs, and 168 mRNAs. Survival analysis demonstrated that 2 lncRNAs (EGOT and SERHL), 4 miRNAs, and 40 mRNAs were significantly associated with the overall survival of HCC patients. Two novel regulatory pathways, EGOT-miR-32-5p-XYLT2 axis and SERHL-miR-1269a/miR-193b-3p-BCL2L1/SYK/ARNT/CHST3/LPCAT1 axis, were built up and contribute to the underlying mechanism of HCC pathogenesis. The higher-expressed SERHL was associated with a higher risk of all-cause death. The expressions of SERHL-miR-1269a-BCL2L1 were significantly different using qRT-PCR in vitro studies. lncRNAs EGOT and SERHL might serve as effective prognostic biomarkers and potential therapeutic targets in cirrhotic HCC treatment.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicroRNAsBiomarkers, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLiver CirrhosisRNA, Long NoncodingBiomarkers, TumorEGOT lncRNA, humanMicroRNAsRNA, Long Noncoding

Identifiers

PMID34258170
PMCPMC8245234
OpenAlexW3174898890

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.