Additional file 1.

Supplementary information. Procedures for determining the invasion-associated (IA) genes. II. Combination use of anti-microtubule and targeted therapy agents. Figure S1. Histogram of invaded cell counts (ICC) after subtracting the tissue-group means. Figure S2. Cell adhesion: Integrin-mediated cell adhesion and migration pathway. Figure S3. The heatmap for the correlations between 744 IA gene expression and 99 drug response (−logGI50) in NCI-60 cell lines. Figure S4. Validation of microarray gene expression data with qPCR. Figure S5. Plots of the eight-gene risk scores between drug sensitive and drug resistant groups of cell lines after removing the nine cell lines that came from the NCI60 panel. The dotted line indicated the mean of each group. Figure S6. Kaplan–Meier survival curves for survival analysis of the eight-gene signature in breast and lung cancer patients who did not receive systemic treatment. Figure S7. Kaplan–Meier survival curves for survival analysis of the four-gene signature in lung cancer and breast cancer cohorts. Table S1. The expression level of eight signature genes in the nine NCI-60 cell lines. Table S2. TaqMan probes ID for eight gene expression validation. Table S3. Enrichment analysis of 633 invasion-associated genes by functional ontology enrichment tool in MetaCore. Table S4. The correlation matrix for (A) anti-microtubule and for (B) targeted therapy drugs. Table S5. Genes having significant gene-drug correlation with everolimus, dasatinib, erlotinib, paclitaxel and docetaxel profiles. The final list of eight IA-genes is shown in bold face. Table S6. Correlation between the invasion profile and each of the 99 drug sensitivity profiles of NCI60 cell lines. The significant correlation (P <0.05) is shown in bold face.

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Hsu et al. BMC Medicine 2013 11:106   doi:10.1186/1741-7015-11-106