Knowing the difference helps
you make informed decisions
Introducing miRview® squamous

miRview® squamous is a cutting-edge molecular diagnostic test that uses
microRNA to accurately differentiate squamous from non-squamous
non-small cell lung cancer (NSCLC), helping you make informed decisions.
miRview® squamous accurately differentiates squamous from non-squamous NSCLC
The methods currently used to diagnose and characterize NSCLC have limitations and may be inaccurate1-3. Low concordance exists among laboratories and lack of concurrence is found among pathologists1. In one study, up to 40% of squamous or adenocarcinomas of the lung were reclassified when evaluated by a second pathologist1.

Unlike the methods currently used, miRview® squamous provides a differential diagnosis with:
  • Fast, standardized, and objective classification
  • The highest level of accuracy
  • Simple interpretation
  • Routine sample preparation

miRview® squamous delivers quality results
The miRview® squamous assay uses quantitative real-time PCR (qRT-PCR) to determine the expression of microRNAs in tumor tissue. The sensitivity and specificity of this assay have been shown to be 97% and 91%, respectively4.

miRview® squamous is easy to use
miRview® squamous is based on formalin-fixed paraffin-embedded (FFPE) tumor samples, the current standard for preserving tumors in the post-op setting. FFPE samples require minimal preparation to be analyzed by our experts and can be easily shipped via any air courier.


  1. Stang A, Pohlabeln H, Müller KM, Jahn I, Giersiepen K, Jöckel KH. Diagnostic agreement in the histopathological evaluation of lung cancer tissue in a population-based case-control study. Lung Cancer. 2006;52(1):29-36.
  2. Field RW, Smith BJ, Platz CE, et al. Lung cancer histologic type in the surveillance, epidemiology, and end results registry versus independent review. J Natl Cancer Inst. 2004;96(14):1105-1107.
  3. Perelman M, Rosenwald S, Spector Y, et al. MicroRNA biomarkers for differential diagnosis of lung tumors. Presented at: United States and Canadian Academy of Pathology Annual Meeting; March 7-13, 2009; Boston, MA. Abstract 1630.
  4. Data on file, Rosetta Genomics.