Publication

Identification of RCC Subtype-Specific microRNAs–Meta-Analysis of High-Throughput RCC Tumor microRNA Expression Data

A. Kajdasz, W. Majer-Burmann, K. Kluzek, J. Sobkowiak, T. Milecki, N. Derebecka, Z. Kwias, H.A.R. Bluyssen and Joanna Wesoly

Published
February 1, 2021
journal
DOI
https://doi.org/10.3390/cancers13030548
microRNA
Renal Cancer
ngs
transcriptome

In the majority of renal cancer cases, the disease course is non-symptomatic which frequently leads to late diagnosis of disease.

Currently, there are no molecular tools dedicated to the detection and monitoring of renal cancer. Our study aimed to investigate changes in microRNA (miRNA) expression in tissue samples of renal cancer patients. We performed meta-analysis using results of 14 high-throughput studies (both, NGS and microarrays) and as a result, selected a group of miRNAs deregulated in renal cancer and its subtypes. Later, the expression changes of selected miRNA were validated in an independent sample set. We confirmed that the investigation of miRNA expression might be potentially applicable in the detection and monitoring of renal cancer and its subtypes.nna Wesoly.

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Identification of RCC Subtype-Specific microRNAs–Meta-Analysis of High-Throughput RCC Tumor microRNA Expression Data
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