Evidence map›Paper›PMID 34199580›Full record

ArticleCancers2021

Clinicopathological-Associated Regulatory Network of Deregulated circRNAs in Hepatocellular Carcinoma.

Jian Han, Thomas Thurnherr, Alexander Y F Chung, Brian K P Goh, Pierce K H Chow, Chung Yip Chan, Peng Chung Cheow, Ser Yee Lee, Tony K H Lim, Samuel S Chong and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 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

12 authors at 2 institutions in 1 country.

Jian HanDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Thomas ThurnherrNUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 119077, Singapore.
Alexander Y F ChungDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.
Brian K P GohDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.ORCID 0000-0001-8218-4576
Pierce K H ChowDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.
Chung Yip ChanDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.
Peng Chung CheowDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.
Ser Yee LeeDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.
Tony K H LimDepartment of Pathology, Singapore General Hospital, Singapore 169608, Singapore.
Samuel S ChongDepartment of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
London L P J OoiDepartment of Hepato-Pancreato-Biliary & Transplant Surgery, Singapore General Hospital, Singapore 169608, Singapore.ORCID 0000-0001-6777-8464
Caroline G LeeDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.ORCID 0000-0002-4323-3635
Singapore General Hospital · SGNational University of Singapore · SG

Funding

National Medical Research Council NMRC/CBRG/0095/2015
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common and lethal cancers worldwide. Here, we present a novel strategy to identify key circRNA signatures of clinically relevant co-expressed circRNA-mRNA networks in pertinent cancer-pathways that modulate prognosis of HCC patients, by integrating clinic-pathological features, circRNA and mRNA expression profiles. Through further integration with miRNA expression profiles, clinically relevant competing-endogenous-RNA (ceRNA) networks of circRNA-miRNA-mRNAs were constructed. At least five clinically relevant nodal-circRNAs, co-expressed with numerous genes, were identified from the circRNA-mRNA networks. These nodal circRNAs upregulated proliferation (except circRaly) and transformation in cells. The most upregulated nodal-circRNA, circGPC3, associated with higher-grade tumors and co-expressed with 33 genes, competes with 11 mRNAs for two shared miRNAs. circGPC3 was experimentally demonstrated to upregulate cell-cycle and migration/invasion in both transformed and non-transformed liver cell-lines. circGPC3 was further shown to act as a sponge of miR-378a-3p to regulate APSM (Abnormal spindle-like microcephaly associated) expression and modulate cell transformation. This study identifies 5 key nodal master circRNAs in a clinically relevant circRNA-centric network that are significantly associated with poorer prognosis of HCC patients and promotes tumorigenesis in cell-lines. The identification and characterization of these key circRNAs in clinically relevant circRNA-mRNA and ceRNA networks may facilitate the design of novel strategies targeting these important regulators for better HCC prognosis.

Indexed as

carcinogenesiscircular RNAclinical characteristicscompeting endogenous RNAshepatocellular carcinoma

Identifiers

PMID34199580
PMCPMC8199648
OpenAlexW3168161494

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.