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Int. J. Mol. Sci. 2015, 16(12), 29103-29119; doi:10.3390/ijms161226150

Tumor-Associated CSF MicroRNAs for the Prediction and Evaluation of CNS Malignancies

Department of Oncology, University Children’s Hospital, CH-8032 Zurich, Switzerland
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Academic Editor: Martin Pichler
Received: 3 November 2015 / Revised: 26 November 2015 / Accepted: 27 November 2015 / Published: 7 December 2015
(This article belongs to the Collection Regulation by Non-Coding RNAs)
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Abstract

Cerebrospinal fluid (CSF) is a readily reachable body fluid that is reflective of the underlying pathological state of the central nervous system (CNS). Hence it has been targeted for biomarker discovery for a variety of neurological disorders. CSF is also the major route for seeding metastases of CNS malignancies and its analysis could be informative for diagnosis and risk stratification of brain cancers. Recently, modern high-throughput, microRNAs (miRNAs) measuring technology has enabled sensitive detection of distinct miRNAs that are bio-chemicallystable in the CSF and can distinguish between different types of CNS cancers. Owing to the fact that a CSF specimen can be obtained with relative ease, analysis of CSF miRNAs could be a promising contribution to clinical practice. In this review, we examine the current scientific knowledge on tumor associated CSF miRNAs that could guide diagnosis of different brain cancer types, or could be helpful in predicting disease progression and therapy response. Finally, we highlight their potential applications clinically as biomarkers and discuss limitations. View Full-Text
Keywords: cerebrospinal fluid; CNS cancers; microRNA; biomarkers cerebrospinal fluid; CNS cancers; microRNA; biomarkers
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shalaby, T.; Grotzer, M.A. Tumor-Associated CSF MicroRNAs for the Prediction and Evaluation of CNS Malignancies. Int. J. Mol. Sci. 2015, 16, 29103-29119.

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