Genome-scale analysis of lung cancer progression.

Abstract

Among cancers, lung cancer is the single biggest killer in the US. It is estimated that lung cancer was responsible for 171900 newly diagnosed cases of cancer in the US in 2003, and for 157200 deaths. Over many years, however, there has been little improvement in the clinical outcome of lung cancer, and any improvement in the incidence or mortality from lung cancer can largely be attributed to smoking cessation and not to the success of therapy. The histopathology of lung cancer reveals that it is a disease with many faces. Lung cancer is often nonresponsive to traditional therapy, leaving few, if any, alternatives in the management of the advanced stages of the disease. The molecular pathogenesis of lung cancer, only recently illuminated, involves numerous molecular and cell biological changes revealing a very complex disease progression. Large-scale mRNA expression analysis has been recently used to classify lung cancers molecularly. These techniques have been used successfully to differentiate lung cancer histotypes based on patterns of genes expressed. The use of protein analysis to this end has also been attempted, with limited correlation with RNA experiments. This likely reflects the limited sensitivity of the technologies and complex, poorly understood post-synthesis protein modifications. In any event, there have been great strides made in understanding the nature of lung cancer from a molecular perspective; these effects represent a great advancement in the diagnosis and prognosis of lung cancer. Moreover, these advances may lead to the improvement of patient survival by guiding the choice of more efficacious therapy.