TY - JOUR
T1 - Classification of the four main types of lung cancer using a microRNA-based diagnostic assay
AU - Gilad, Shlomit
AU - Lithwick-Yanai, Gila
AU - Barshack, Iris
AU - Benjamin, Sima
AU - Krivitsky, Irit
AU - Edmonston, Tina Bocker
AU - Bibbo, Marluce
AU - Thurm, Craig
AU - Horowitz, Laurie
AU - Huang, Yajue
AU - Feinmesser, Meora
AU - Steve Hou, J.
AU - St. Cyr, Brianna
AU - Burnstein, Ilanit
AU - Gibori, Hadas
AU - Dromi, Nir
AU - Sanden, Mats
AU - Kushnir, Michal
AU - Aharonov, Ranit
PY - 2012/9
Y1 - 2012/9
N2 - For patients with primary lung cancer, accurate determination of the tumor type significantly influences treatment decisions. However, techniques and methods for lung cancer typing lack standardization. In particular, owing to limited tumor sample amounts and the poor quality of some samples, the classification of primary lung cancers using small preoperative biopsy specimens presents a diagnostic challenge using current tools. We previously described a microRNA-based assay (miRview squamous; Rosetta Genomics Ltd., Rehovot, Israel) that accurately differentiates between squamous and nonsquamous nonsmall cell lung cancer. Herein, we describe the development and validation of an assay that differentiates between the four main types of lung cancer: squamous cell carcinoma, nonsquamous nonsmall cell lung cancer, carcinoid, and small cell carcinoma. The assay, miRview lung (Rosetta Genomics Ltd.), is based on the expression levels of eight microRNAs, measured using a sensitive quantitative RT-PCR platform. It was validated on an independent set of 451 samples, more than half of which were preoperative cytologic samples (fine-needle aspiration and bronchial brushing and washing). The assay returned a result for more than 90% of the samples with overall accuracy of 94% (95% CI, 91% to 96%), with similar performance observed in pathologic and cytologic samples. Thus, miRview lung is a simple and reliable diagnostic assay that offers an accurate and standardized classification tool for primary lung cancer using pathologic and cytologic samples.
AB - For patients with primary lung cancer, accurate determination of the tumor type significantly influences treatment decisions. However, techniques and methods for lung cancer typing lack standardization. In particular, owing to limited tumor sample amounts and the poor quality of some samples, the classification of primary lung cancers using small preoperative biopsy specimens presents a diagnostic challenge using current tools. We previously described a microRNA-based assay (miRview squamous; Rosetta Genomics Ltd., Rehovot, Israel) that accurately differentiates between squamous and nonsquamous nonsmall cell lung cancer. Herein, we describe the development and validation of an assay that differentiates between the four main types of lung cancer: squamous cell carcinoma, nonsquamous nonsmall cell lung cancer, carcinoid, and small cell carcinoma. The assay, miRview lung (Rosetta Genomics Ltd.), is based on the expression levels of eight microRNAs, measured using a sensitive quantitative RT-PCR platform. It was validated on an independent set of 451 samples, more than half of which were preoperative cytologic samples (fine-needle aspiration and bronchial brushing and washing). The assay returned a result for more than 90% of the samples with overall accuracy of 94% (95% CI, 91% to 96%), with similar performance observed in pathologic and cytologic samples. Thus, miRview lung is a simple and reliable diagnostic assay that offers an accurate and standardized classification tool for primary lung cancer using pathologic and cytologic samples.
UR - http://www.scopus.com/inward/record.url?scp=84865063456&partnerID=8YFLogxK
U2 - 10.1016/j.jmoldx.2012.03.004
DO - 10.1016/j.jmoldx.2012.03.004
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C2 - 22749746
AN - SCOPUS:84865063456
SN - 1525-1578
VL - 14
SP - 510
EP - 517
JO - Journal of Molecular Diagnostics
JF - Journal of Molecular Diagnostics
IS - 5
ER -