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Transcription profiling of non squamous cell lung cancer cell lines to investigate sensititivity to gefitinib and predict this in previously untested cell lines

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NIAID Data Ecosystem2026-03-09 收录
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https://www.omicsdi.org/dataset/biostudies-other/S-ECPF-GEOD-4342
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Eleven NSCLC cell lines with widely divergent gefitinib sensitivities were compared using gene expression. Genes associated with gefitinib response were used to classify additional NSCLC lines with unknown gefitnib sensitivity. A subset of the test set data was tested for gefitinib sensitivity, and results correlated strongly with the gene expression-based predictions; All eleven training set lines, and seven test set lines had both HGU133A and B chips done, while other test set lines had only HGU133As. Experiment Overall Design: Baseline (unstimulated) gene expression was measured in a large panel of NSCLC cell lines.
创建时间:
2016-04-14
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