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A Nonquiescent "Idling" Population State in Drug-Treated, BRAF-Mutated Melanoma

B Bishal Paudel1, Leonard A Harris2, Keisha N Hardeman2

  • 1Chemical and Physical Biology Graduate Program, Vanderbilt University, Nashville, Tennessee; Vanderbilt International Scholars Program, Vanderbilt University, Nashville, Tennessee; Vanderbilt Quantitative Systems Biology Center, Vanderbilt University, Nashville, Tennessee.

Biophysical Journal
|March 29, 2018
PubMed

Insights

Targeted therapy for BRAF-mutated melanoma leads to an "idling" state where cells balance death and division, causing unpredictable relapse. Understanding this state may enable new "targeted landscaping" therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Mathematical Modeling

Background:

  • BRAF-mutated melanoma targeted therapy offers remission but relapse is common.
  • Patient response duration to BRAF inhibitors is unpredictable.
  • Existing therapies do not fully address mechanisms of relapse.

Purpose of the Study:

  • To investigate the long-term response dynamics of BRAF-mutated melanoma cell lines to BRAF inhibitors.
  • To identify and characterize a novel drug-induced cellular state.
  • To develop a mathematical model explaining melanoma population dynamics under targeted therapy.

Main Methods:

  • Culturing and treating multiple BRAF-mutated melanoma cell lines with BRAF inhibitors.
  • Observing short-term (<100 h) and long-term population dynamics.
  • Developing and applying mathematical models to infer phenotypic landscapes and cellular transitions.

Main Results:

  • Observed variable short-term responses across cell lines.
  • Identified a novel long-term "idling" state characterized by balanced cell death and division.
  • Mathematical modeling revealed cells transition between drug-modified phenotypic landscape basins.

Conclusions:

  • The
  • idling
  • state represents a dynamic equilibrium contributing to melanoma relapse after BRAF inhibition.
  • Phenotypic landscapes can be inferred from drug-response data, unifying understanding of treatment effects.
  • Targeting the molecular determinants of the idling state may lead to novel "targeted landscaping" therapies to improve treatment efficacy.

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