Prediction of drug sensitivity. Homo sapiens

Tumor cell lines and drug-resistant counterparts. These data support the publication Gyorffy et al, Oncogene 2005 (July), Prediction of doxorubicin sensitivity in breast tumors based on gene expression profiles of drug-resistant cell lines correlates with patient survival. We contrasted the expression profiles of 13 different human tumor cell lines of gastric (EPG85-257), pancreatic (EPP85-181), colon (HT29) and breast (MCF7 and MDA-MB-231) origin and their counterparts resistant to the topoisomerase inhibitors daunorubicin, doxorubicin or mitoxantrone. We interrogated cDNA arrays with 43 000 cDNA clones ( approximately 30 000 unique genes) to study the expression pattern of these cell lines. A cell type comparison design experiment design type compares cells of different type for example different cell lines. Keywords: cell_type_comparison_design Overall design: Using regression correlation

本数据集支撑Győrffy等人于2005年7月发表于《癌基因（Oncogene）》的研究：基于耐药细胞系基因表达谱预测乳腺癌多柔比星（doxorubicin）敏感性的结果与患者生存率相关。本研究对比了13株不同来源的人类肿瘤细胞系及其对应耐药株的基因表达谱，这些细胞系涵盖胃癌（EPG85-257）、胰腺癌（EPP85-181）、结肠癌（HT29）及乳腺癌（MCF7与MDA-MB-231），耐药株针对的是拓扑异构酶抑制剂（topoisomerase inhibitors）柔红霉素（daunorubicin）、多柔比星或米托蒽醌（mitoxantrone）。本研究使用搭载43000个cDNA克隆（约30000个独特基因）的cDNA芯片（cDNA array），对上述细胞系的表达模式进行检测。细胞类型对比设计（cell type comparison design）是一类实验设计类型，用于比较不同类型的细胞（例如不同细胞系）。关键词：细胞类型对比设计（cell_type_comparison_design）。整体实验设计：采用回归相关性分析。