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Oncology Letters
Article . 2017 . Peer-reviewed
Data sources: Crossref
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Oncology Letters
Article
License: CC BY NC ND
Data sources: UnpayWall
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PubMed Central
Conference object . 2018
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Circular RNAs function as competing endogenous RNAs in multiple types of cancer (Review)

Authors: Ji, Qing; Zhang, Chengcheng; Sun, Xiaoting; Li, Qi;

Circular RNAs function as competing endogenous RNAs in multiple types of cancer (Review)

Abstract

Circular (circ)RNAs, naturally formed endogenous non-coding RNAs, have received extensive attention in recent years due to their special loop structures and specific function. circRNAs are formed with covalently closed continuous loops and are mainly generated by back-splicing processes or lariat introns from exons and/or introns. Usually, circRNAs are stable, abundant, and evolutionarily conserved in the cytoplasm. circRNAs often exhibit abnormal expression in different diseases, notably in human cancers, and the presence of abundant circRNAs in serum, saliva and exosomes renders them potential diagnostic or predictive biomarkers for diseases, including multiple types of cancer. Presently, certain circRNAs have been reported to function as microRNA sponges and RNA-binding protein sponges to regulate downstream gene transcription, which suggests a potential for circRNAs in cancer diagnosis, prognosis and clinical therapy. The present study assessed the latest advances in the study of circRNAs in cancer, summarized the functions of circRNAs in different types of cancer, highlighted the competing endogenous RNA function of circRNAs in the occurrence and development of human malignancies, and provided evidence for the future application of circRNAs in the diagnosis, prognosis and treatment of multiple types of cancer.

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Review

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    22
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green
gold
Related to Research communities
Cancer Research