Diagnostic For Lung Disorders Using Class Prediction

Abstract

The present invention provides methods for diagnosis and prognosis of lung cancer using expression analysis of one or more groups of genes, and a combination of expression analysis with bronchoscopy. The methods of the invention provide far superior detection accuracy for lung cancer when compared to any other currently available method for lung cancer diagnostic or prognosis. The invention also provides methods of diagnosis and prognosis of other lung diseases, particularly in individuals who are exposed to air pollutants, such as cigarette or cigar smoke, smog, asbestos and the like air contaminants or pollutants.


Claims
Download PDF
Document Preview
Document History
  • Publication: Mar 20, 2018
  • Application: Feb 3, 2015
    US US 201514613210 A
  • Priority: Feb 3, 2015
    US US 201514613210 A
  • Priority: Jun 15, 2012
    US US 201213524749 A
  • Priority: Aug 26, 2010
    US US 86952510 A
  • Priority: Feb 8, 2008
    US US 91858808 A
  • Priority: Apr 14, 2006
    US US 2006/0014132 W
  • Priority: Apr 14, 2005
    US US 67124305 P

Download Citation


Sign in to the Lens

Feedback