gene expression-based classification of non-small cell lung carcinomas and survival prediction非小细胞肺癌癌基因分类和生存的预测.pdfVIP

Gene Expression-Based Classification of Non-Small Cell Lung Carcinomas and Survival Prediction 1,2 3 1,2 4 5 Jun Hou , Joachim Aerts , Bianca den Hamer , Wilfred van IJcken , Michael den Bakker , Peter 5 3 6 2,7 3 Riegman , Cor van der Leest , Peter van der Spek , John A. Foekens , Henk C. Hoogsteden , Frank Grosveld1,2, Sjaak Philipsen1,2* 1 Cell Biology, Erasmus University Medical Center, Rotterdam, The Netherlands, 2 Cancer Genomics Center, Erasmus University Medical Center, Rotterdam, The Netherlands, 3 Pulmonary Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands, 4 Center for Biomics, Erasmus University Medical Center, Rotterdam, The Netherlands, 5 Pathology, Erasmus University Medical Center, Rotterdam, The Netherlands, 6 Bioinformatics, Erasmus University Medical Center, Rotterdam, The Netherlands, 7 Medical Oncology, Erasmus University Medical Center, Rotterdam, The Netherlands Abstract Background: Current clinical therapy of non-small cell lung cancer depends on histo-pathological classification. This approach poorly predicts clinical outcome for individual patients. Gene expression profiling holds promise to improve clinical stratification, thus paving the way for individualized therapy. Methodology and Principal Findings: A genome-wide gene expression analysis was performed on a cohort of 91 patients. We used 91 tumor- and 65 adjacent normal lung tissue samples. We defined sets of predictor genes (probe sets) with the expression profiles. The power of predictor g