Open AccessDevelopment and validation of a microRNA‐based diagnostic assay for classification of renal cell carcinomas
Author(s) -
Spector Yael,
Fridman Eddie,
Rosenwald Shai,
Zilber Sofia,
Huang Yajue,
Barshack Iris,
Zion Orit,
Mitchell Heather,
Sanden Mats,
Meiri Eti
Publication year - 2013
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1016/j.molonc.2013.03.002
Subject(s) - chromophobe cell , immunohistochemistry , pathology , medicine , oncocytoma , papillary renal cell carcinomas , kidney cancer , kidney , renal oncocytoma , renal cell carcinoma , microrna , clear cell , oncology , biology , gene , biochemistry
Renal cancers account for more than 3% of adult malignancies and cause more than 13,000 deaths per year in the US alone. The four most common types of kidney tumors include the malignant renal cell carcinomas; clear cell, papillary, chromophobe and the benign oncocytoma. These histological subtypes vary in their clinical course and prognosis, and different clinical strategies have been developed for their management. In some kidney tumor cases it can be very difficult for the pathologist to distinguish between tumor types on the basis of morphology and immunohistochemistry (IHC). In this publication we present the development and validation of a microRNA‐based assay for classifying primary kidney tumors. The assay, which classifies the four main kidney tumor types, was developed based on the expression of a set of 24 microRNAs. A validation set of 201 independent samples was classified using the assay and analyzed blindly. The assay produced results for 92% of the samples with an accuracy of 95%.