PubMed · 7015195
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A P Early, H Ozer, E S Henderson. 1981. Multiple myeloma.. https://pubmed.ncbi.nlm.nih.gov/7015195/
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Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. Particularly, transcriptome context, especially tumor microenvironment, has been shown playing a significant role in shaping the actual treatment outcome. In this study, we develop a deep variational autoencoder (VAE) model to compress thousands of genes into latent vectors in a low-dimensional space. We then demonstrate that these encoded vectors could accurately impute drug response, outperform standard signature-gene based approaches, and appropriately control the overfitting problem. We apply rigorous quality assessment and validation, including assessing the impact of cell line lineage, cross-validation, cross-panel evaluation, and application in independent clinical data sets, to warrant the accuracy of the imputed drug response in both cell lines and cancer samples. Specifically, the expression-regulated component (EReX) of the observed drug response achieves high correlation across panels. Using the well-trained models, we impute drug response of The Cancer Genome Atlas data and investigate the features and signatures associated with the imputed drug response, including cell line origins, somatic mutations and tumor mutation burdens, tumor microenvironment, and confounding factors. In summary, our deep learning method and the results are useful for the study of signatures and markers of drug response.
Despite the prevalence of topoisomerase II-targeted drugs in cancer chemotherapy and the impact of drug resistance on the efficacy of treatment, interactions between these agents and topoisomerase II are not well understood. Therefore, to further define interactions between anticancer drugs and the type II enzyme, a nitrocellulose filter assay was used to characterize the binding of etoposide to yeast topoisomerase II. Results indicate that etoposide binds to the enzyme in the absence of DNA. The apparent Kd value for the interaction was approximately 5 microM drug. Etoposide also bound to ytop2H1012Y, a mutant yeast type II enzyme that is approximately 3-4-fold resistant to etoposide. However, the apparent Kd value for the drug (approximately 16 microM) was approximately 3 times higher than that determined for wild-type topoisomerase II. Although it has been widely speculated that resistance to topoisomerase II-targeted anticancer agents results from a decreased drug-enzyme binding affinity, these data provide the first direct evidence in support of this hypothesis. Finally, the ability of yeast topoisomerase II to bind etoposide was dependent on the presence of the hydroxyl moiety of Tyr783, suggesting specific interactions between etoposide and the active site residue that is involved in DNA scission.
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