Patent ID: 8822153
Filing Date: 2014-09-02
Classification: C12Q,G01N

Abstract:
1. A method for diagnosing a lung tissue sample from a human patient as an adenocarcinoma or a squamous cell carcinoma, said method comprising detecting expression levels of all of the normal, small cell lung cancer (SCLC), carcinoid, adenocarcinoma/squamous cell carcinoma (AC/SCC) classifier biomarkers of Table 1 at the nucleic acid level by performing a reverse transcriptase polymerase chain reaction (RT-PCR) with primers specific to the classifier biomarkers; comparing the detected levels of expression of said classifier biomarkers of Table 1 to the expression of said classifier biomarkers in at least one sample training set(s), wherein one of the sample training set(s) comprise expression data of said classifier biomarkers of Table 1 from an adenocarcinoma sample and one of the sample training set(s) comprise expression data of said classifier biomarkers of Table 1 from a squamous cell carcinoma sample, and the comparing step comprises applying a statistical algorithm which comprises determining a correlation between the expression data obtained from the human lung tissue sample and the expression data from the adenocarcinoma and the squamous cell carcinoma training set(s); and diagnosing a lung tissue sample as an adenocarcinoma or squamous cell carcinoma based on the results of the statistical algorithm.