Author
Listed:
- Robert Vander Velde
(H Lee Moffitt Cancer Centre and Research Institute
University of South Florida)
- Nara Yoon
(Cleveland Clinic)
- Viktoriya Marusyk
(H Lee Moffitt Cancer Centre and Research Institute)
- Arda Durmaz
(Cleveland Clinic
Case Western Reserve University School of Medicine)
- Andrew Dhawan
(Cleveland Clinic)
- Daria Miroshnychenko
(H Lee Moffitt Cancer Centre and Research Institute)
- Diego Lozano-Peral
(H Lee Moffitt Cancer Centre and Research Institute
University of Málaga)
- Bina Desai
(H Lee Moffitt Cancer Centre and Research Institute
University of South Florida Cancer Biology PhD Program)
- Olena Balynska
(H Lee Moffitt Cancer Centre and Research Institute)
- Jan Poleszhuk
(Polish Academy of Sciences)
- Liu Kenian
(H Lee Moffitt Cancer Centre and Research Institute)
- Mingxiang Teng
(H Lee Moffitt Cancer Centre and Research Institute)
- Mohamed Abazeed
(Cleveland Clinic)
- Omar Mian
(Cleveland Clinic)
- Aik Choon Tan
(H Lee Moffitt Cancer Centre and Research Institute)
- Eric Haura
(H Lee Moffitt Cancer Centre and Research Institute)
- Jacob Scott
(Cleveland Clinic
Case Western Reserve University School of Medicine)
- Andriy Marusyk
(H Lee Moffitt Cancer Centre and Research Institute
University of South Florida)
Abstract
ABSTRACT Despite high initial efficacy, targeted therapies eventually fail in advanced cancers, as tumors develop resistance and relapse. In contrast to the substantial body of research on the molecular mechanisms of resistance, understanding of how resistance evolves remains limited. Using an experimental model of ALK positive NSCLC, we explored the evolution of resistance to different clinical ALK inhibitors. We found that resistance can originate from heterogeneous, weakly resistant subpopulations with variable sensitivity to different ALK inhibitors. Instead of the commonly assumed stochastic single hit (epi) mutational transition, or drug-induced reprogramming, we found evidence for a hybrid scenario involving the gradual, multifactorial adaptation to the inhibitors through acquisition of multiple cooperating genetic and epigenetic adaptive changes. Additionally, we found that during this adaptation tumor cells might present unique, temporally restricted collateral sensitivities, absent in therapy naïve or fully resistant cells, suggesting the potential for new therapeutic interventions, directed against evolving resistance.
Suggested Citation
Robert Vander Velde & Nara Yoon & Viktoriya Marusyk & Arda Durmaz & Andrew Dhawan & Daria Miroshnychenko & Diego Lozano-Peral & Bina Desai & Olena Balynska & Jan Poleszhuk & Liu Kenian & Mingxiang Ten, 2020.
"Resistance to targeted therapies as a multifactorial, gradual adaptation to inhibitor specific selective pressures,"
Nature Communications, Nature, vol. 11(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16212-w
DOI: 10.1038/s41467-020-16212-w
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Cited by:
- Karin Schmelz & Joern Toedling & Matt Huska & Maja C. Cwikla & Louisa-Marie Kruetzfeldt & Jutta Proba & Peter F. Ambros & Inge M. Ambros & Sengül Boral & Marco Lodrini & Celine Y. Chen & Martin Burker, 2021.
"Spatial and temporal intratumour heterogeneity has potential consequences for single biopsy-based neuroblastoma treatment decisions,"
Nature Communications, Nature, vol. 12(1), pages 1-13, December.
- Ryan T. Bishop & Anna K. Miller & Matthew Froid & Niveditha Nerlakanti & Tao Li & Jeremy S. Frieling & Mostafa M. Nasr & Karl J. Nyman & Praneeth R. Sudalagunta & Rafael R. Canevarolo & Ariosto Siquei, 2024.
"The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous drug resistant disease,"
Nature Communications, Nature, vol. 15(1), pages 1-18, December.
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