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Cited by 527

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

Circulating microRNAs as potential cancer biomarkers: the advantage and disadvantage

Open access
Wang, Hao, Peng, Ran, Wang, Junjie, Qin, Zelian, Xue, Lixiang·2018·Clinical Epigenetics

Abstract

MicroRNAs are endogenous single-stranded non-coding small RNA molecules that can be secreted into the circulation and exist stably. They usually exhibit aberrant expression under different physiological and pathological conditions. Recently, differentially expressed circulating microRNAs were focused on as potential biomarkers for cancer screening. We herein review the role of circulating microRNAs for cancer diagnosis, tumor subtype classification, chemo- or radio-resistance monitoring, and outcome prognosis. Moreover, circulating microRNAs still have several issues hindering their reliability for the practical clinical application. Future studies need to elucidate further potential application of circulating microRNAs as specific and sensitive markers for clinical diagnosis or prognosis in cancers.

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Crossref · 10.1186/s13148-018-0492-1

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Metadata

Authors
Wang, H., Peng, R., Wang, J., Qin, Z., & Xue, L.
Venue
Clinical Epigenetics
Published
2018-04-23
Volume
10
Issue
1
Pages
59-59
ISSN
  • 1868-7075 (ISSN-L)
  • 1868-7083
OpenAlex
W2804641693
Cited by
527
References
91
FWCI
16.87
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Circulating microRNAs as potential cancer biomarkers: the advantage and disadvantage. https://app.cochat.ai/papers/10.1186/s13148-018-0492-1
The paper
Wang, H., Peng, R., Wang, J., Qin, Z., & Xue, L. (2018). Circulating microRNAs as potential cancer biomarkers: the advantage and disadvantage. Clinical Epigenetics. https://doi.org/10.1186/s13148-018-0492-1

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.