Title |
Restraining Network Response to Targeted Cancer Therapies Improves Efficacy and Reduces Cellular Resistance
|
---|---|
Published in |
Cancer Research, July 2018
|
DOI | 10.1158/0008-5472.can-17-2001 |
Pubmed ID | |
Authors |
Tirtha K Das, Jessica Esernio, Ross L Cagan |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
United Kingdom | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 3 | 43% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 21% |
Researcher | 5 | 18% |
Student > Doctoral Student | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 3 | 11% |
Unknown | 8 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 29% |
Agricultural and Biological Sciences | 4 | 14% |
Medicine and Dentistry | 4 | 14% |
Immunology and Microbiology | 1 | 4% |
Computer Science | 1 | 4% |
Other | 2 | 7% |
Unknown | 8 | 29% |