A curative combination cancer therapy achieves high fractional cell killing through low cross-resistance and drug additivity.
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2019-11
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Curative cancer therapies are uncommon and nearly always involve multi-drug combinations developed by experimentation in humans; unfortunately, the mechanistic basis for the success of such combinations has rarely been investigated in detail, obscuring lessons learned. Here, we use isobologram analysis to score pharmacological interaction, and clone tracing and CRISPR screening to measure cross-resistance among the five drugs comprising R-CHOP, a combination therapy that frequently cures Diffuse Large B-Cell Lymphomas. We find that drugs in R-CHOP exhibit very low cross-resistance but not synergistic interaction: together they achieve a greater fractional kill according to the null hypothesis for both the Loewe dose-additivity model and the Bliss effect-independence model. These data provide direct evidence for the 50 year old hypothesis that a curative cancer therapy can be constructed on the basis of independently effective drugs having non-overlapping mechanisms of resistance, without synergistic interaction, which has immediate significance for the design of new drug combinations.
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Palmer, Adam C, Christopher Chidley and Peter K Sorger (2019). A curative combination cancer therapy achieves high fractional cell killing through low cross-resistance and drug additivity. eLife, 8. p. e50036. 10.7554/elife.50036 Retrieved from https://hdl.handle.net/10161/31264.
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Christopher Chidley
Chris Chidley is an incoming Assistant Professor in the Department of Pharmacology and Cancer Biology starting in September 2024.
The Chidley lab investigates the role of transporter proteins in nutrient and metabolite import/export and their impact on cell state and response to chemotherapeutics. The lab uses unbiased genetic screening in cell and animal models along with biochemistry, cell biology, and analytical chemistry tools to identify critical small molecule transporters across different environments, characterize their function, and explore how the tumor microenvironment impacts cancer metabolism. Our research aims to guide the development of metabolic strategies to suppress tumor growth, and aid precision medicine efforts by revealing determinants of drug sensitivity.
For more information, visit our lab website.
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