Literature DB >> 29844121

Restraining Network Response to Targeted Cancer Therapies Improves Efficacy and Reduces Cellular Resistance.

Tirtha K Das1, Jessica Esernio2, Ross L Cagan2.   

Abstract

A key tool of cancer therapy has been targeted inhibition of oncogene-addicted pathways. However, efficacy has been limited by progressive emergence of resistance as transformed cells adapt. Here, we use Drosophila to dissect response to targeted therapies. Treatment with a range of kinase inhibitors led to hyperactivation of overall cellular networks, resulting in emergent resistance and expression of stem cell markers, including Sox2. Genetic and drug screens revealed that inhibitors of histone deacetylases, proteasome, and Hsp90 family of proteins restrained this network hyperactivation. These "network brake" cocktails, used as adjuncts, prevented emergent resistance and promoted cell death at subtherapeutic doses. Our results highlight a general response of cells, transformed and normal, to targeted therapies that leads to resistance and toxicity. Pairing targeted therapeutics with subtherapeutic doses of broad-acting "network brake" drugs may provide a means of extending therapeutic utility while reducing whole body toxicity.Significance: These findings with a strong therapeutic potential provide an innovative approach of identifying effective combination treatments for cancer. Cancer Res; 78(15); 4344-59. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29844121     DOI: 10.1158/0008-5472.CAN-17-2001

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  8 in total

1.  Patient-Derived In Vitro and In Vivo Models of Cancer.

Authors:  Sally E Claridge; Julie-Ann Cavallo; Benjamin D Hopkins
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

Review 2.  Drug screening in Drosophila; why, when, and when not?

Authors:  Tin Tin Su
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2019-05-05       Impact factor: 5.814

Review 3.  Mutational signatures and processes in hepatobiliary cancers.

Authors:  Ekaterina Zhuravleva; Colm J O'Rourke; Jesper B Andersen
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2022-03-10       Impact factor: 73.082

4.  Integrated computational and Drosophila cancer model platform captures previously unappreciated chemicals perturbing a kinase network.

Authors:  Peter M U Ung; Masahiro Sonoshita; Alex P Scopton; Arvin C Dar; Ross L Cagan; Avner Schlessinger
Journal:  PLoS Comput Biol       Date:  2019-04-26       Impact factor: 4.475

5.  Basic and Translational Models of Cooperative Oncogenesis.

Authors:  Helena E Richardson; Julia B Cordero; Daniela Grifoni
Journal:  Int J Mol Sci       Date:  2020-08-18       Impact factor: 5.923

6.  Drosophila RASopathy models identify disease subtype differences and biomarkers of drug efficacy.

Authors:  Tirtha K Das; Jared Gatto; Rupa Mirmira; Ethan Hourizadeh; Dalia Kaufman; Bruce D Gelb; Ross Cagan
Journal:  iScience       Date:  2021-03-13

7.  Evolution of kinase polypharmacology across HSP90 drug discovery.

Authors:  Albert A Antolin; Paul A Clarke; Ian Collins; Paul Workman; Bissan Al-Lazikani
Journal:  Cell Chem Biol       Date:  2021-06-01       Impact factor: 8.116

Review 8.  Nek2 Kinase Signaling in Malaria, Bone, Immune and Kidney Disorders to Metastatic Cancers and Drug Resistance: Progress on Nek2 Inhibitor Development.

Authors:  Dibyendu Dana; Tuhin Das; Athena Choi; Ashif I Bhuiyan; Tirtha K Das; Tanaji T Talele; Sanjai K Pathak
Journal:  Molecules       Date:  2022-01-06       Impact factor: 4.927

  8 in total

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