Literature DB >> 34983746

Independent Drug Action in Combination Therapy: Implications for Precision Oncology.

Deborah Plana1,2, Adam C Palmer3, Peter K Sorger1.   

Abstract

Combination therapies are superior to monotherapy for many cancers. This advantage was historically ascribed to the ability of combinations to address tumor heterogeneity, but synergistic interaction is now a common explanation as well as a design criterion for new combinations. We review evidence that independent drug action, described in 1961, explains the efficacy of many practice-changing combination therapies: it provides populations of patients with heterogeneous drug sensitivities multiple chances of benefit from at least one drug. Understanding response heterogeneity could reveal predictive or pharmacodynamic biomarkers for more precise use of existing drugs and realize the benefits of additivity or synergy. SIGNIFICANCE: The model of independent drug action represents an effective means to predict the magnitude of benefit likely to be observed in new clinical trials for combination therapies. The "bet-hedging" strategy implicit in independent action suggests that individual patients often benefit from only a subset-sometimes one-of the drugs in a combination. Personalized, targeted combination therapy, consisting of agents likely to be active in a particular patient, will increase, perhaps substantially, the magnitude of therapeutic benefit. Precision approaches of this type will require a better understanding of variability in drug response and new biomarkers, which will entail preclinical research on diverse panels of cancer models rather than studying drug synergy in unusually sensitive models. ©2022 The Authors; Published by the American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 34983746      PMCID: PMC8904281          DOI: 10.1158/2159-8290.CD-21-0212

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   38.272


  130 in total

1.  An implantable microdevice to perform high-throughput in vivo drug sensitivity testing in tumors.

Authors:  Oliver Jonas; Heather M Landry; Jason E Fuller; John T Santini; Jose Baselga; Robert I Tepper; Michael J Cima; Robert Langer
Journal:  Sci Transl Med       Date:  2015-04-22       Impact factor: 17.956

2.  Defining principles of combination drug mechanisms of action.

Authors:  Justin R Pritchard; Peter M Bruno; Luke A Gilbert; Kelsey L Capron; Douglas A Lauffenburger; Michael T Hemann
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-18       Impact factor: 11.205

Review 3.  Immunotherapy in Non-Small Cell Lung Cancer: Facts and Hopes.

Authors:  Deborah B Doroshow; Miguel F Sanmamed; Katherine Hastings; Katerina Politi; David L Rimm; Lieping Chen; Ignacio Melero; Kurt A Schalper; Roy S Herbst
Journal:  Clin Cancer Res       Date:  2019-03-01       Impact factor: 12.531

4.  Dabrafenib, trametinib and pembrolizumab or placebo in BRAF-mutant melanoma.

Authors:  Paolo Antonio Ascierto; Pier Francesco Ferrucci; Antoni Ribas; Rosalie Fisher; Michele Del Vecchio; Victoria Atkinson; Henrik Schmidt; Jacob Schachter; Paola Queirolo; Georgina V Long; Anna Maria Di Giacomo; Inge Marie Svane; Michal Lotem; Gil Bar-Sela; Felix Couture; Bijoyesh Mookerjee; Razi Ghori; Nageatte Ibrahim; Blanca Homet Moreno
Journal:  Nat Med       Date:  2019-06-06       Impact factor: 53.440

5.  BRCAness, SLFN11, and RB1 loss predict response to topoisomerase I inhibitors in triple-negative breast cancers.

Authors:  Florence Coussy; Rania El-Botty; Sophie Château-Joubert; Ahmed Dahmani; Elodie Montaudon; Sophie Leboucher; Ludivine Morisset; Pierre Painsec; Laura Sourd; Léa Huguet; Fariba Nemati; Jean-Luc Servely; Thibaut Larcher; Sophie Vacher; Adrien Briaux; Cécile Reyes; Philippe La Rosa; Georges Lucotte; Tatiana Popova; Pierre Foidart; Nor Eddine Sounni; Agnès Noel; Didier Decaudin; Laetitia Fuhrmann; Anne Salomon; Fabien Reyal; Christopher Mueller; Petra Ter Brugge; Jos Jonkers; Marie-France Poupon; Marc-Henri Stern; Ivan Bièche; Yves Pommier; Elisabetta Marangoni
Journal:  Sci Transl Med       Date:  2020-02-19       Impact factor: 17.956

6.  Functional drug susceptibility testing using single-cell mass predicts treatment outcome in patient-derived cancer neurosphere models.

Authors:  Max A Stockslager; Seth Malinowski; Mehdi Touat; Jennifer C Yoon; Jack Geduldig; Mahnoor Mirza; Annette S Kim; Patrick Y Wen; Kin-Hoe Chow; Keith L Ligon; Scott R Manalis
Journal:  Cell Rep       Date:  2021-10-05       Impact factor: 9.423

7.  Point: combination versus single-agent chemotherapy: the argument for sequential single agents.

Authors:  Alison K Conlin; Andrew D Seidman
Journal:  J Natl Compr Canc Netw       Date:  2007-09       Impact factor: 11.908

8.  Adaptive resistance of melanoma cells to RAF inhibition via reversible induction of a slowly dividing de-differentiated state.

Authors:  Mohammad Fallahi-Sichani; Verena Becker; Benjamin Izar; Gregory J Baker; Jia-Ren Lin; Sarah A Boswell; Parin Shah; Asaf Rotem; Levi A Garraway; Peter K Sorger
Journal:  Mol Syst Biol       Date:  2017-01-09       Impact factor: 11.429

9.  SynToxProfiler: An interactive analysis of drug combination synergy, toxicity and efficacy.

Authors:  Aleksandr Ianevski; Sanna Timonen; Alexander Kononov; Tero Aittokallio; Anil K Giri
Journal:  PLoS Comput Biol       Date:  2020-02-03       Impact factor: 4.475

10.  Molecular profiling of advanced malignancies guides first-line N-of-1 treatments in the I-PREDICT treatment-naïve study.

Authors:  Scott M Lippman; Razelle Kurzrock; Jason K Sicklick; Shumei Kato; Ryosuke Okamura; Hitendra Patel; Mina Nikanjam; Paul T Fanta; Michael E Hahn; Pradip De; Casey Williams; Jessica Guido; Benjamin M Solomon; Rana R McKay; Amy Krie; Sarah G Boles; Jeffrey S Ross; J Jack Lee; Brian Leyland-Jones
Journal:  Genome Med       Date:  2021-10-04       Impact factor: 11.117

View more
  2 in total

1.  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 2.  Systematic review of computational methods for drug combination prediction.

Authors:  Weikaixin Kong; Gianmarco Midena; Yingjia Chen; Paschalis Athanasiadis; Tianduanyi Wang; Juho Rousu; Liye He; Tero Aittokallio
Journal:  Comput Struct Biotechnol J       Date:  2022-06-01       Impact factor: 6.155

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.