Evidence map›Paper›PMID 32908582›Full record

ArticleComputational and mathematical methods in medicine2020

Construction of circRNA-Associated ceRNA Network Reveals Novel Biomarkers for Esophageal Cancer.

Yunhao Sun, Limin Qiu, Jinjin Chen, Yao Wang, Jun Qian, Lirong Huang, Haitao Ma

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

13 citing papers in PubMed.

  1. Article
  2. Circular RNAs in Heart Diseases.Advances in experimental medicine and biology · 2025
    Review
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yunhao SunDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, China.
Limin QiuDepartment of Thoracic Surgery, Yancheng City No.1 People's Hospital, China.
Jinjin ChenOncology Department, Yancheng City No.1 People's Hospital, China.
Yao WangDepartment of Thoracic Surgery, Yancheng City No.1 People's Hospital, China.
Jun QianDepartment of Thoracic Surgery, Yancheng City No.1 People's Hospital, China.
Lirong HuangDepartment of Thoracic Surgery, Yancheng City No.1 People's Hospital, China.
Haitao MaDepartment of Thoracic Surgery, The First Affiliated Hospital of Soochow University, China.ORCID https://orcid.org/0000-0002-9107-2928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEsophageal cancer (ESCC) is reported to be the eighth most common malignant tumors worldwide with high mortality. However, the functions of majority circRNAs in ESCC requires to be further explored.

methodsThis study identified differently expressed circRNAs in 3 paired ESCC using RNA-sequencing method. The interactions among circRNAs, miRNAs, and mRNAs were predicted using bioinformatics analysis.

resultsIn this study, using RNA-sequencing method and integrated bioinformatics analysis, 418 overexpressed circRNAs and 637 reduced circRNAs in ESCC sample were identified. Based on the mechanism that circRNAs could play as ceRNAs to modulate targets expression, circRNA-miRNA and circRNA-miRNA-mRNA networks were constructed in this study. Based on the network analysis, 7 circRNAs, including circ_0002255, circ_0000530, circ_0001904, circ_0001005, circ_0000513, circ_0000075, and circ_0001121, were identified as key circRNAs in ESCC. We found that circ_0002255 was related to the regulation of substrate adhesion-dependent cell spreading. circ_0001121 was involved in regulating nucleocytoplasmic transport. circ_0000513 played a key role in regulating Adherens junction, B cell receptor signaling pathway. Meanwhile, we observed circ_0000075 was involved in regulating zinc II ion transport, transition metal ion homeostasis, and angiogenesis.

conclusionWe thought this study could provide novel biomarkers for the prognosis of ESCC.

Indexed as

Biomarkers, TumorComputational BiologyEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMathematical ConceptsMicroRNAsMiddle AgedPrognosisRNA, CircularRNA, MessengerRNA, NeoplasmRNA-SeqBiomarkers, TumorMicroRNAsRNA, CircularRNA, MessengerRNA, Neoplasm

Identifiers

PMID32908582
PMCPMC7474783

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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.