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Cited by 273

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Long noncoding RNAs: a potential novel class of cancer biomarkers

Open access
Yarmishyn, Aliaksandr A., Kurochkin, Igor V.·2015·Frontiers in Genetics

Abstract

Long noncoding RNAs (lncRNAs) are a novel class of RNA molecules defined as transcripts longer than 200 nucleotides that lack protein coding potential. They constitute a major, but still poorly characterized part of human transcriptome, however, evidence is growing that they are important regulatory molecules involved in various cellular processes. It is becoming increasingly clear that many lncRNAs are deregulated in cancer and some of them can be important drivers of malignant transformation. On the one hand, some lncRNAs can have highly specific expression in particular types of cancer making them a promising tool for diagnosis. The expression of other lncRNAs can correlate with different pathophysiological features of tumor growth and with patient survival, thus making them convenient biomarkers for prognosis. In this review we outline the current state of knowledge about the fast growing field of application of lncRNAs as tumor biomarkers.

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Metadata

Authors
Yarmishyn, A. A., & Kurochkin, I. V.
Venue
Frontiers in Genetics
Published
2015-04-23
Volume
6
Pages
145-145
ISSN
1664-8021 (ISSN-L)
OpenAlex
W2004815615
Cited by
273
References
114
FWCI
12.37
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Long noncoding RNAs: a potential novel class of cancer biomarkers. https://app.cochat.ai/papers/10.3389/fgene.2015.00145
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Yarmishyn, A. A., & Kurochkin, I. V. (2015). Long noncoding RNAs: a potential novel class of cancer biomarkers. Frontiers in Genetics. https://doi.org/10.3389/fgene.2015.00145

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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.