New miRNA Profiles Accurately Distinguish Renal Cell Carcinomas and Upper Tract Urothelial Carcinomas from the Normal Kidney

Apostolos Zaravinos, George I Lambrou, Nikos Mourmouras, Patroklos Katafygiotis, Gregory Papagregoriou, Krinio Giannikou, Dimitris Delakas and Constantinos Deltas

PLOS ONE, 2014, vol. 9, issue 3, 1-21

Abstract: Background: Upper tract urothelial carcinomas (UT-UC) can invade the pelvicalyceal system making differential diagnosis of the various histologically distinct renal cell carcinoma (RCC) subtypes and UT-UC, difficult. Correct diagnosis is critical for determining appropriate surgery and post-surgical treatments. We aimed to identify microRNA (miRNA) signatures that can accurately distinguish the most prevalent RCC subtypes and UT-UC form the normal kidney. Methods and Findings: miRNA profiling was performed on FFPE tissue sections from RCC and UT-UC and normal kidney and 434 miRNAs were significantly deregulated in cancerous vs. the normal tissue. Hierarchical clustering distinguished UT-UCs from RCCs and classified the various RCC subtypes among them. qRT-PCR validated the deregulated expression profile for the majority of the miRNAs and ROC analysis revealed their capability to discriminate between tumour and normal kidney. An independent cohort of freshly frozen RCC and UT-UC samples was used to validate the deregulated miRNAs with the best discriminatory ability (AUC>0.8, p

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0091646

DOI: 10.1371/journal.pone.0091646

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