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Gene expression profiling of CUTLL cell lines upon 17 drug treatments

ABSTRACT: The clinical development of targeted therapies has been hampered by their limited intrinsic antitumor activity and the rapid emergence of resistance, highlighting the need to identify highly active and synergistic drug combinations. However, empirical synergistic drug screening approaches are challenging and elucidating the mechanisms that underlie such drug interactions is typically complex. Here we performed an expression based screen and network analyses to identify drugs amplyfiying the antitumor effects of NOTCH inhibition in T-ALL. These studies uncovered a novel and druggable synthetic lethal interaction between supression of protein translation and NOTCH inhibition in T-ALL. Our results illustrate the power of expression-based analyses towards the identification and functional characterization of new antitumor drug combinations for the treatment of human cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE78188 | GEO | 2017/08/25

SECONDARY ACCESSION(S): PRJNA312888

REPOSITORIES: GEO

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Project description:Recent data demonstrate that extracellular signals are transmitted through a network of proteins rather than hierarchical signaling pathways. This network model suggests why inhibition of a single component of a canonical pathway, even when targeting a mutationally activated driver of cancer, has insufficiently dramatic effects on the treatment of cancer. The biological outcome of signals propagated through a network is inherently more robust and resistant to inhibition of a single network component due to compensatory and redundant signaling events. In this study, we performed a functional chemical genetic screen analogous to synthetic lethal screening in yeast genetics to identify novel interactions between signaling inhibitors that would not be predicted based on our current understanding of signaling networks. We screened over 300 drug combinations in nine melanoma cell lines and have identified pairs of compounds that show synergistic cytotoxicity. Among the most robust and surprising results was synergy between sorafenib, a multi-kinase inhibitor with activity against Raf, and diclofenac, a non-steroidal anti-inflammatory drug (NSAID). This synergy did not correlate with the known RAS and BRAF mutational status of the melanoma cell lines. The NSAIDs celecoxib and ibuprofen could qualitatively substitute for diclofenac. Similarly, the MEK inhibitor PD325901 and the Raf inhibitor RAF265 could qualitatively substitute for sorafenib. These drug substitution experiments suggest that inhibition of cyclo-oxygenase and MAP kinase signaling are components of the observed synergistic cytotoxicity. Genome-wide expression profiling demonstrates synergy-specific down-regulation of survival-related genes. This study provides proof of principle that synthetic lethal screening can uncover novel functional drug combinations and suggests that the underlying signaling networks that control responses to targeted agents can vary substantially depending on unexplored components of the cell genotype. RNA from VMM39, DM331, and SLM2 cells with/without mutations in Ras and/or Braf, treated with Sorafenib and/or Diclofenac.

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Gene expression profiling of CUTLL cell lines upon 17 drug treatments

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