PubMed · 9914869
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C A Schiffer. 1999. Leukemia.. https://doi.org/10.1097/00001622-199901000-00001
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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.
In this study the role of cyclooxygenase-2 (COX-2) in primitive neuroectodermal tumor (PNET) the most malignant brain tumors of childhood was investigated. COX-2 expression in human brain tumor biopsy samples (seven/seven) was about 6-8-fold higher than normal brain tissue and several PNET cell lines also express COX-2. The effect of selective COX-2 inhibitors, celecoxib and rofecoxib on the growth of two PNET cell lines (DAOY and PFSK) was determined. Celecoxib was more potent than rofecoxib in suppressing cell growth. Growth inhibition by celecoxib and rofecoxib was independent of Bcl-2 expression. Celecoxib suppressed the expression of Akt and activated the caspase-3 in DAOY and PFSK, whereas rofecoxib did not have such an effect.
BACKGROUND: The modulatory effects and molecular mechanisms of curcumin (CCM) on the cytotoxicity of chemotherapeutic agents to prostate cancer cells were explored. METHODS: The combined effects of CCM and chemotherapeutic agents were examined by three different administration schedules (one concurrent and two sequential treatments) in two androgen-independent prostate cancer (AIPC) cells (PC-3 and DU145). Alteration of cell cycle progression, protein levels, and transcriptional activation in PC-3 cells were assayed by flow cytometry, Western blotting, and gel shift assay, respectively. RESULTS: The combined effects of CCM --> chemotherapeutic agent schedule showed the greatest synergistic cytotoxicity when compared to the other two schedules in both cells. CCM induced a significant G1 arrest in PC-3, which may be mediated by the induction of p21(WAF1/CIP1) and C/EBPbeta. Moreover, CCM was able to inhibit both the constitutional and TNF-alpha-induced NF-kappaB activation in a time-dependent manner. CONCLUSIONS: The incorporation of CCM into cytotoxic therapies may be a promising strategy for the treatment of AIPC.