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Cited by 1,326

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Circular RNAs in cancer: opportunities and challenges in the field

Open access
Kristensen, L S, Hansen, T B, Venø, M T, Kjems, J·2018·Oncogene

Abstract

Circular RNA (circRNA) is a novel member of the noncoding cancer genome with distinct properties and diverse cellular functions, which is being explored at a steadily increasing pace. The list of endogenous circRNAs involved in cancer continues to grow; however, the functional relevance of the vast majority is yet to be discovered. In general, circRNAs are exceptionally stable molecules and some have been shown to function as efficient microRNA sponges with gene-regulatory potential. Many circRNAs are highly conserved and have tissue-specific expression patterns, which often do not correlate well with host gene expression. Here we review the current knowledge on circRNAs in relation to their implications in tumorigenesis as well as their potential as diagnostic and prognostic biomarkers and as possible therapeutic targets in future personalized medicine. Finally, we discuss future directions for circRNA cancer research and current caveats, which must be addressed to facilitate the translation of basic circRNA research into clinical use.

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Metadata

Authors
Kristensen, L. S., Hansen, T. B., Venø, M. T., & Kjems, J.
Venue
Oncogene
Published
2017-10-09
Volume
37
Issue
5
Pages
555-565
ISSN
  • 0950-9232 (ISSN-L)
  • 1476-5594
OpenAlex
W2764294957
Cited by
1,326
References
12
FWCI
47.27
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Circular RNAs in cancer: opportunities and challenges in the field. https://app.cochat.ai/papers/10.1038/onc.2017.361
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Kristensen, L. S., Hansen, T. B., Venø, M. T., & Kjems, J. (2018). Circular RNAs in cancer: opportunities and challenges in the field. Oncogene. https://doi.org/10.1038/onc.2017.361

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.