Differential diagnosis of solitary lung nodules with gene expression ratios.

ABSTRACT:

Objective

We have developed a new technique that uses the ratios of select gene expression levels to translate complex genomic data into simple clinically relevant tests for the diagnosis and prognosis of cancer. We determined whether select gene pair ratio combinations can be used to detect and diagnose lung cancer with high accuracy and sensitivity.

Methods

We used gene expression profiling data to train a ratio-based predictor model to discriminate among a set of samples (n = 145 total) composed of normal lung, small cell lung cancer, adenocarcinoma, squamous cell carcinoma, and pulmonary carcinoid (the training set). We then examined the optimal test in an independent set of samples (the test set, n = 122). Finally, we used one aspect of the test to determine whether the

SUBMITTER: Gordon GJ 

PROVIDER: S-EPMC2194803 | biostudies-literature | 2006 Sep

REPOSITORIES: biostudies-literature