TY - JOUR
T1 - Diagnostic assay based on hsa-miR-205 expression distinguishes squamous from nonsquamous non-small-cell lung carcinoma
AU - Aharonov, Ranit
AU - Lebanony, Danit
AU - Benjamin, Hila
AU - Gilad, Shlomit
AU - Ezagouri, Meital
AU - Dov, Avital
AU - Ashkenazi, Karin
AU - Gefen, Nir
AU - Izraeli, Shai
AU - Rechavi, Gideon
AU - Pass, Harvey
AU - Nonaka, Daisuke
AU - Li, Junjie
AU - Spector, Yael
AU - Rosenfeld, Nitzan
AU - Chajut, Ayelet
AU - Cohen, Dalia
AU - Mansukhani, Mahesh
PY - 2009/4/20
Y1 - 2009/4/20
N2 - Recent advances in treatment of lung cancer require greater accuracy in the subclassification of non-small-cell lung cancer (NSCLC). Targeted therapies which inhibit tumor angiogenesis pose higher risk for adverse response in cases of squamous cell carcinoma. Interobserver variability and the lack of specific, standardized assays limit the current abilities to adequately stratify patients for such treatments. In this study, we set out to identify specific microRNA biomarkers for the identification of squamous cell carcinoma, and to use such markers for the development of a standardized assay. Patients and Methods High-throughput microarray was used to measure microRNA expression levels in 122 adenocar-cinoma and squamous NSCLC samples. A quantitative real-time polymerase chain reaction (qRT-PCR) platform was used to verify findings in an independent set of 20 NSCLC formalin-fixed, paraffin-embedded (FFPE) samples, and to develop a diagnostic assay using an additional set of 27 NSCLC FFPE samples. The assay was validated using an independent blinded cohort consisting of 79 NSCLC FFPE samples. Results We identified hsa-miR-205 as a highly specific marker for squamous cell lung carcinoma. A microRNA-based qRT-PCR assay that measures expression of hsa-miR-205 reached sensitivity of 96% and specificity of 90% in the identification of squamous cell lung carcinomas in an independent blinded validation set. Conclusion Hsa-miR-205 is a highly accurate marker for lung cancer of squamous histology. The standardized diagnostic assay presented here can provide highly accurate subclassification of NSCLC patients.
AB - Recent advances in treatment of lung cancer require greater accuracy in the subclassification of non-small-cell lung cancer (NSCLC). Targeted therapies which inhibit tumor angiogenesis pose higher risk for adverse response in cases of squamous cell carcinoma. Interobserver variability and the lack of specific, standardized assays limit the current abilities to adequately stratify patients for such treatments. In this study, we set out to identify specific microRNA biomarkers for the identification of squamous cell carcinoma, and to use such markers for the development of a standardized assay. Patients and Methods High-throughput microarray was used to measure microRNA expression levels in 122 adenocar-cinoma and squamous NSCLC samples. A quantitative real-time polymerase chain reaction (qRT-PCR) platform was used to verify findings in an independent set of 20 NSCLC formalin-fixed, paraffin-embedded (FFPE) samples, and to develop a diagnostic assay using an additional set of 27 NSCLC FFPE samples. The assay was validated using an independent blinded cohort consisting of 79 NSCLC FFPE samples. Results We identified hsa-miR-205 as a highly specific marker for squamous cell lung carcinoma. A microRNA-based qRT-PCR assay that measures expression of hsa-miR-205 reached sensitivity of 96% and specificity of 90% in the identification of squamous cell lung carcinomas in an independent blinded validation set. Conclusion Hsa-miR-205 is a highly accurate marker for lung cancer of squamous histology. The standardized diagnostic assay presented here can provide highly accurate subclassification of NSCLC patients.
UR - http://www.scopus.com/inward/record.url?scp=65349166324&partnerID=8YFLogxK
U2 - 10.1200/JCO.2008.19.4134
DO - 10.1200/JCO.2008.19.4134
M3 - Article
C2 - 19273703
AN - SCOPUS:65349166324
SN - 0732-183X
VL - 27
SP - 2030
EP - 2037
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 12
ER -