Molecular classification and molecular genetics of human lung cancers.
Recent advances in the molecular classification of lung carcinomas and the identification of causative genetic alterations will likely lead to improvements in the diagnosis and treatment of patients with lung cancer. It is now possible to identify gene expression profiles that associate with patient outcome in lung carcinomas, in particular adenocarcinoma. Furthermore, patient survival has been shown to correlate with lung cancer oligonucleotide microarray expression profiles. Large-scale microarray technology may allow for the identification of useful biomarkers for early cancer detection. Oligonucleotide microarray data can be optimized by relating them to protein expression levels in tissue microarrays, by annotation with mutational data, and with results of testing for post-translational modification of cellular proteins. These data may be useful in tailoring chemotherapeutic protocols to individual tumors and identifying new targets for therapeutic intervention.
Department of Medical Oncology, Dana-Farber Cancer Insitute, Boston, MA 02115, USA.
Matthew
M
Meyerson
Wilbur A
WA
Franklin
Michael J
MJ
Kelley
D000230:Adenocarcinoma / Q000235:genetics; D014408:Biomarkers, Tumor / Q000235:genetics*; D018288:Carcinoma, Small Cell / Q000235:genetics; D002294:Carcinoma, Squamous Cell / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods; D008175:Lung Neoplasms / Q000145:classification / Q000188:drug therapy / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D015398:Signal Transduction / Q000235:genetics
D014408:Biomarkers, Tumor