Genexpressionsstudien beim Lungenkarzinom

Zusammenfassung

Die Mikroarray-Technologie erfasst simultan die globale Genexpression in Zellen und Geweben. Sie liefert wichtige Erkenntnisse über die transkriptionellen Veränderungen der Gene in Tumoren. Die resultierenden Genexpressionsprofile können zur Vorhersage der Diagnose, Prognose oder des Therapieerfolges der Erkrankung, sowie für die Suche nach neuen therapeutischen Zielstrukturen genutzt werden.

Summary

The microarray technology allows simultaneous analysis of the global gene expression in cells and tissues. In tumor diseases, important transcriptional changes of genes have been unravelled by this method. The resulted gene expression profiles can be used for the prediction of diagnosis, prognosis or therapeutic outcome, as well as for the identification of novel drug targets. Our review depicts state-of-the-art, limitations, translational applications and future directions concerning microarray analyses in lung cancer.

Mikroarray - Genexpression - Lungenkrebs

microarray - gene expression - lung cancer

Literatur

• 1 Bhattacharjee A, Richards W G, Staunton J. et al . Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.  Proc Natl Acad Sci U S A. 2001;  98 13790-13795
• 2 Hsu D S, Balakumaran B S, Acharya C R. et al . Pharmacogenomic strategies provide a rational approach to the treatment of cisplatin-resistant patients with advanced cancer.  J Clin Oncol. 2007;  25 4350-4357
• 3 Joyce A R, Palsson B O. The model organism as a system: integrating ‘omics’ data sets.  Nat Rev Mol Cell Biol. 2006;  7 198-210
• 4 Kuner R, Muley T, Meister M. et al . Global gene expression analysis reveals specific patterns of cell junctions in non-small cell lung cancer subtypes.  Lung Cancer. 2009;  63 32-38
• 5 Lu Y, Lemon W, Liu P Y. et al . A gene expression signature predicts survival of patients with stage I non-small cell lung cancer.  PLoS Med. 2006;  3 e467
• 6 Ponder B A. Cancer genetics.  Nature. 2001;  411 336-341
• 7 Potti A, Mukherjee S, Petersen R. et al . A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer.  N Engl J Med. 2006;  355 570-580
• 8 Shedden K, Taylor J M, Enkemann S A. et al . Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.  Nat Med. 2008;  14 822-827
• 9 Sotiriou C, Piccart M J. Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?.  Nat Rev Cancer. 2007;  7 545-553
• 10 Strauss E. Arrays of hope.  Cell. 2006;  127 657-659
• 11 Chen HY et al. A five gene signature and clinical outcome in non-small-cell lung cancer.  New Engl J Med. 2007;  356 11-20