Gene Expression Patterns that Predict Sensitivity to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Lung Cancer Cell Lines and Human Lung Tumors

ABSTRACT: Global gene expression data were generated from cultured non small cell lung cancer cell lines (NSCLC), normalized using MAS 5.0, filtered and used to predict response of cells to EGFR inhibition Gene expression data from additional cell lines and tumors was used to validate the predictive algorithm Total RNA was prepared from NSCLC cell lines and applied to Affymetric U133 2.0 microarrays

ORGANISM(S): Homo sapiens

SUBMITTER: Esther Black 

PROVIDER: E-GEOD-31625 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress