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

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GSE31625

Homo sapiens

48 Downloadable Samples

Affymetrix Human Genome U133A Array (hgu133a)

Submitter Supplied Information

Description

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

PubMed ID

17096850

Publication Title

Gene expression patterns that predict sensitivity to epidermal growth factor receptor tyrosine kinase inhibitors in lung cancer cell lines and human lung tumors.

Total Samples

Submitter’s Institution

University of Kentucky

Authors

Balko JM, Potti A, Saunders C, Stromberg A, Haura EB, Black EP

Source Repository

Gene Expression Omnibus (GEO)

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