Literature DB >> 30797775

Quantifying Drug Combination Synergy along Potency and Efficacy Axes.

Christian T Meyer1, David J Wooten2, B Bishal Paudel3, Joshua Bauer4, Keisha N Hardeman3, David Westover5, Christine M Lovly6, Leonard A Harris7, Darren R Tyson7, Vito Quaranta8.   

Abstract

Two goals motivate treating diseases with drug combinations: reduce off-target toxicity by minimizing doses (synergistic potency) and improve outcomes by escalating effect (synergistic efficacy). Established drug synergy frameworks obscure such distinction, failing to harness the potential of modern chemical libraries. We therefore developed multi-dimensional synergy of combinations (MuSyC), a formalism based on a generalized, multi-dimensional Hill equation, which decouples synergistic potency and efficacy. In mutant-EGFR-driven lung cancer, MuSyC reveals that combining a mutant-EGFR inhibitor with inhibitors of other kinases may result only in synergistic potency, whereas synergistic efficacy can be achieved by co-targeting mutant-EGFR and epigenetic regulation or microtubule polymerization. In mutant-BRAF melanoma, MuSyC determines whether a molecular correlate of BRAFi insensitivity alters a BRAF inhibitor's potency, efficacy, or both. These findings showcase MuSyC's potential to transform the enterprise of drug-combination screens by precisely guiding translation of combinations toward dose reduction, improved efficacy, or both.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BRAF-mutant melanoma; drug synergy; high-throughput combination drug screens; non-small-cell lung cancer; systems pharmacology

Mesh:

Substances:

Year:  2019        PMID: 30797775      PMCID: PMC6675406          DOI: 10.1016/j.cels.2019.01.003

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  42 in total

Review 1.  Combination therapy with BRAF and MEK inhibitors for melanoma: latest evidence and place in therapy.

Authors:  Zeynep Eroglu; Antoni Ribas
Journal:  Ther Adv Med Oncol       Date:  2016-01       Impact factor: 8.168

2.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Bioinformatics       Date:  2013-11-13       Impact factor: 6.937

3.  Prediction of multidimensional drug dose responses based on measurements of drug pairs.

Authors:  Anat Zimmer; Itay Katzir; Erez Dekel; Avraham E Mayo; Uri Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-25       Impact factor: 11.205

4.  Randomized phase II trial of erlotinib with and without entinostat in patients with advanced non-small-cell lung cancer who progressed on prior chemotherapy.

Authors:  Samir E Witta; Robert M Jotte; Katrik Konduri; Marcus A Neubauer; Alexander I Spira; Robert L Ruxer; Marileila Varella-Garcia; Paul A Bunn; Fred R Hirsch
Journal:  J Clin Oncol       Date:  2012-04-16       Impact factor: 44.544

5.  NADPH oxidase (NOX) isoforms are inhibited by celastrol with a dual mode of action.

Authors:  Vincent Jaquet; Julien Marcoux; Eric Forest; Kevin G Leidal; Sally McCormick; Yvonne Westermaier; Remo Perozzo; Olivier Plastre; Laetitia Fioraso-Cartier; Becky Diebold; Leonardo Scapozza; William M Nauseef; Franck Fieschi; Karl-Heinz Krause; Karen Bedard
Journal:  Br J Pharmacol       Date:  2011-09       Impact factor: 8.739

6.  Cadherin dysfunction in a human cancer cell line: possible involvement of loss of alpha-catenin expression in reduced cell-cell adhesiveness.

Authors:  Y Shimoyama; A Nagafuchi; S Fujita; M Gotoh; M Takeichi; S Tsukita; S Hirohashi
Journal:  Cancer Res       Date:  1992-10-15       Impact factor: 12.701

7.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  Screening drug effects in patient-derived cancer cells links organoid responses to genome alterations.

Authors:  Julia Jabs; Franziska M Zickgraf; Jeongbin Park; Steve Wagner; Xiaoqi Jiang; Katharina Jechow; Kortine Kleinheinz; Umut H Toprak; Marc A Schneider; Michael Meister; Saskia Spaich; Marc Sütterlin; Matthias Schlesner; Andreas Trumpp; Martin Sprick; Roland Eils; Christian Conrad
Journal:  Mol Syst Biol       Date:  2017-11-27       Impact factor: 11.429

9.  Osimertinib in Untreated EGFR-Mutated Advanced Non-Small-Cell Lung Cancer.

Authors:  Jean-Charles Soria; Yuichiro Ohe; Johan Vansteenkiste; Thanyanan Reungwetwattana; Busyamas Chewaskulyong; Ki Hyeong Lee; Arunee Dechaphunkul; Fumio Imamura; Naoyuki Nogami; Takayasu Kurata; Isamu Okamoto; Caicun Zhou; Byoung Chul Cho; Ying Cheng; Eun Kyung Cho; Pei Jye Voon; David Planchard; Wu-Chou Su; Jhanelle E Gray; Siow-Ming Lee; Rachel Hodge; Marcelo Marotti; Yuri Rukazenkov; Suresh S Ramalingam
Journal:  N Engl J Med       Date:  2017-11-18       Impact factor: 91.245

10.  Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and -resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with drug resistance.

Authors:  Peilin Jia; Hailing Jin; Catherine B Meador; Junfeng Xia; Kadoaki Ohashi; Lin Liu; Valentina Pirazzoli; Kimberly B Dahlman; Katerina Politi; Franziska Michor; Zhongming Zhao; William Pao
Journal:  Genome Res       Date:  2013-06-03       Impact factor: 9.043

View more
  42 in total

Review 1.  Leveraging laboratory and clinical studies to design effective antibiotic combination therapy.

Authors:  Kathleen Davis; Talia Greenstein; Roberto Viau Colindres; Bree B Aldridge
Journal:  Curr Opin Microbiol       Date:  2021-10-08       Impact factor: 7.934

2.  SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples.

Authors:  Aleksandr Ianevski; Anil K Giri; Tero Aittokallio
Journal:  Nucleic Acids Res       Date:  2022-05-17       Impact factor: 19.160

Review 3.  Evaluation of synergism in drug combinations and reference models for future orientations in oncology.

Authors:  Diana Duarte; Nuno Vale
Journal:  Curr Res Pharmacol Drug Discov       Date:  2022-05-12

4.  ELP-dependent expression of MCL1 promotes resistance to EGFR inhibition in triple-negative breast cancer cells.

Authors:  Peter Cruz-Gordillo; Megan E Honeywell; Nicholas W Harper; Thomas Leete; Michael J Lee
Journal:  Sci Signal       Date:  2020-11-17       Impact factor: 8.192

5.  An in vitro model of tumor heterogeneity resolves genetic, epigenetic, and stochastic sources of cell state variability.

Authors:  Corey E Hayford; Darren R Tyson; C Jack Robbins; Peter L Frick; Vito Quaranta; Leonard A Harris
Journal:  PLoS Biol       Date:  2021-06-01       Impact factor: 8.029

Review 6.  Charting the Fragmented Landscape of Drug Synergy.

Authors:  Christian T Meyer; David J Wooten; Carlos F Lopez; Vito Quaranta
Journal:  Trends Pharmacol Sci       Date:  2020-02-26       Impact factor: 14.819

7.  bayesynergy: flexible Bayesian modelling of synergistic interaction effects in in vitro drug combination experiments.

Authors:  Leiv Rønneberg; Andrea Cremaschi; Robert Hanes; Jorrit M Enserink; Manuela Zucknick
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

8.  Highly synergistic combinations of nanobodies that target SARS-CoV-2 and are resistant to escape.

Authors:  Fred D Mast; Peter C Fridy; Natalia E Ketaren; Junjie Wang; Erica Y Jacobs; Jean Paul Olivier; Tanmoy Sanyal; Kelly R Molloy; Fabian Schmidt; Magdalena Rutkowska; Yiska Weisblum; Lucille M Rich; Elizabeth R Vanderwall; Nicholas Dambrauskas; Vladimir Vigdorovich; Sarah Keegan; Jacob B Jiler; Milana E Stein; Paul Dominic B Olinares; Louis Herlands; Theodora Hatziioannou; D Noah Sather; Jason S Debley; David Fenyö; Andrej Sali; Paul D Bieniasz; John D Aitchison; Brian T Chait; Michael P Rout
Journal:  Elife       Date:  2021-12-07       Impact factor: 8.140

Review 9.  Using response surface models to analyze drug combinations.

Authors:  Nathaniel R Twarog; Nancy E Martinez; Jessica Gartrell; Jia Xie; Christopher L Tinkle; Anang A Shelat
Journal:  Drug Discov Today       Date:  2021-06-10       Impact factor: 8.369

10.  Cell Line-Specific Network Models of ER+ Breast Cancer Identify Potential PI3Kα Inhibitor Resistance Mechanisms and Drug Combinations.

Authors:  Jorge Gómez Tejeda Zañudo; Pingping Mao; Joan Montero; Réka Albert; Nikhil Wagle; Clara Alcon; Kailey Kowalski; Gabriela N Johnson; Guotai Xu; Jose Baselga; Maurizio Scaltriti; Anthony Letai
Journal:  Cancer Res       Date:  2021-07-13       Impact factor: 13.312

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.