Connecting genes, drugs and diseases

The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology

The NCI-60 cell lines are the most frequently studied human tumor cell lines in cancer research. This panel has generated the most extensive cancer pharmacology database worldwide. In addition, these cell lines have been intensely investigated, providing a unique platform for hypothesis-driven research focused on enhancing our understanding of tumor biology. Here, we report a comprehensive analysis of coding variants in the NCI-60 panel of cell lines identified by whole exome sequencing, providing a list of possible cancer specific variants for the community. Furthermore, we identify pharmacogenomic correlations between specific variants in genes such as TP53, BRAF, ERBBs, and ATAD5 and anticancer agents such as nutlin, vemurafenib, erlotinib, and bleomycin showing one of many ways the data could be used to validate and generate novel hypotheses for further investigation. As new cancer genes are identified through large-scale sequencing studies, the data presented here for the NCI-60 will be an invaluable resource for identifying cell lines with mutations in such genes for hypothesis-driven research. To enhance the utility of the data for the greater research community, the genomic variants are freely available in different formats and from multiple sources including the CellMiner and Ingenuity websites.

Maximum predictive power of the microarray-based models for clinical outcomes is limited by correlation between endpoint and gene expression profile

Background

Microarray data have been used for gene signature selection to predict clinical outcomes. Many studies have attempted to identify factors that affect models' performance with only little success. Fine-tuning of model parameters and optimizing each step of the modeling process often results in over-fitting problems without improving performance.

Results

We propose a quantitative measurement, termed consistency degree, to detect the correlation between disease endpoint and gene expression profile. Different endpoints were shown to have different consistency degrees to gene expression profiles. The validity of this measurement to estimate the consistency was tested with significance at a p-value less than 2.2e-16 for all of the studied endpoints. According to the consistency degree score, overall survival milestone outcome of multiple myeloma was proposed to extend from 730 days to 1561 days, which is more consistent with gene expression profile.

Conclusion

For various clinical endpoints, the maximum predictive powers of different microarray-based models are limited by the correlation between endpoint and gene expression profile of disease samples as indicated by the consistency degree score. In addition, previous defined clinical outcomes can also be reassessed and refined more coherent according to related disease gene expression profile. Our findings point to an entirely new direction for assessing the microarray-based predictive models and provide important information to gene signature based clinical applications.

Genome-wide mRNA and microRNA profiling of the NCI 60 cell-line screen and comparison of FdUMP[10] with fluorouracil, floxuridine, and topoisomerase 1 poisons

A profile of microRNA (miRNA) and mRNA expression patterns across the NCI-60 cell-line screen was analyzed to identify expression signatures that correlate with sensitivity to FdUMP[10], fluorouracil (5FU), floxuridine (FdU), topotecan, and irinotecan. Genome-wide profile analyses revealed FdUMP[10] resembles FdU most closely and shows dissimilarities with 5FU. FdUMP[10] had the largest dynamic range of any of these drugs across the NCI-60 indicative of cancer cell-specific activity. Genes involved in endocytosis, such as clathrin (CLTC), SNF8, annexin A6 (ANXA6), and amyloid protein-binding 2 (APPBP2) uniquely correlated with sensitivity to FdUMP[10], consistent with a protein-mediated cellular uptake of FdUMP[10]. Genes involved in nucleotide metabolism were enriched for the three fluoropyrimidine drugs, with the expression profile for 5FU correlated to an RNA-mediated cytotoxic mechanism, whereas expression of glycosyltransferases (XYLT2) that use UDP sugars as substrates and the nucleoside diphosphatase and metastasis suppressor NM23 (NME1) were associated with FdUMP[10] sensitivity. Topotecan and irinotecan had significant negative correlations with miR-24, a miRNA with a high aggregate P(CT) score for topoisomerase 1 (Top1). Our results reveal significant new correlations between FdUMP[10] and Top1 poisons, as well as new information on the unique cytotoxic mechanism and genomic signature of FdUMP[10].

Chromosomal instability is associated with higher expression of genes implicated in epithelial-mesenchymal transition, cancer invasiveness, and metastasis and with lower expression of genes involved in cell cycle checkpoints, DNA repair, and chromatin maintenance

Chromosomal instability-a hallmark of epithelial cancers-is an ongoing process that results in aneuploidy and karyotypic heterogeneity of a cancer cell population. Previously, we stratified cancer cell lines in the NCI-60 drug discovery panel based on their karyotypic complexity and heterogeneity. Using this stratification in conjunction with drug response data for the cell lines allowed us to identify classes of chemical compounds whose growth-inhibitory activity correlates with karyotypic complexity and chromosomal instability. In this article, we asked the question: What are the biological processes, pathways, or genes associated with chromosomal instability of cancer cells? We found that increased instability of the chromosomal content in a cancer cell population, particularly, persistent gains and losses of chromosomes, is associated with elevated expression of genes involved with aggressive cellular behavior, including invasion- and metastasis-associated changes in cell communication, adhesion, motility, and migration. These same karyotypic features are negatively correlated with the expression of genes involved in cell cycle checkpoints, DNA repair, and chromatin maintenance.

Next generation topoisomerase I inhibitors: Rationale and biomarker strategies

Topoisomerase I (TopoI), an essential enzyme, produces a DNA single strand break allowing DNA relaxation for replication. The enzymatic mechanism involves sequential transesterifcations. The breakage and closure reactions generate phosphodiester bonds and similar free energies, so the reaction is freely reversible. The TopoI reaction intermediate consists of enzyme covalently linked to DNA dubbed a 'cleavable complex'. Covalently bound TopoI-DNA complexes can be recovered. Camptothecin analogs, topotecan and irinotecan, are approved TopoI-targeted drugs. Both have limitations due to the equilibrium between the camptothecin lactone and ring-opened forms. Several strategies are being explored to develop improved TopoI inhibitors. Homocamptothecins, in which the metabolically labile camptothecin lactone is replaced with a more stable seven-membered beta-hydroxylactone, are potent anticancer agents. Gimatecan is a seven-position modified lipophilic camptothecin developed to provide rapid uptake and accumulation in cells and a stable TopoI-DNA-drug ternary complex. Diflomotecan, a homocamptothecin, and gimatecan are in Phase II clinical trial. Among non-camptothecins, edotecarin, an indolocarbazole that results in DNA C/T-G cleavage compared with T-G/A for camptothecins, is in Phase II clinical trial. Indenoisoquinolines were identified as TopoI inhibitors by the NCI 60-cell line COMPARE analysis. Co-crystal structures of two indenoisoquinolines with TopoI-DNA elucidated the structure of the ternary complex. Indenoisoquinolines are in preclinical development. Dibenzonaphthyridinone TopoI inhibitors have undergone extensive structure-activity examination. ARC-111 was selected for in-depth preclinical study. Biomarkers are under investigation to predict clinical efficacy from preclinical models, to allow determination of drug targeting in vivo and to aid selection of patients most likely to benefit from TopoI inhibitor therapy. gamma-H2AX formation may be a useful pharmacodynamic marker. A gene signature developed for topotecan sensitivity/resistance may have value in patient identification. Convergence of these efforts should result in clinically effective second generation TopoI inhibitors.