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Genomic and Proteomic Profiling of Lung Cancers: Lung Cancer Classification in the Age of Targeted Therapy

Matthew Meyerson, David Carbone

From the Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA; and Vanderbilt Cancer Center, Nashville, TN

Address reprint requests to David P. Carbone, MD, PhD, Vanderbilt Cancer Center, 2220 Pierce Ave, 685 PRB, Nashville, TN 37232-6863; e-mail: d.carbone{at}Vanderbilt.edu.

Both proteomic and genomic methods offer promise for the classification of human lung carcinomas. This review summarizes the range of proteomic methods in development for lung cancer classification, and describes a number of recent analyses of messenger RNA expression in lung cancer. Multiple independent studies of mRNA expression profiles in lung adenocarcinoma have proven highly reproducible. Analyses of the relationship between expression profiles and tumor development and differentiation, the presence or absence of specific pathogenic mutations, patient prognosis and survival after surgical treatment, and specific histopathology all appear to be promising.

Authors' disclosures of potential conflicts of interest are found at the end of this article.

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