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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.
Abstract:
Targeted therapy is an effective standard of care in BRAF-mutated malignant melanoma. However, the duration of tumor remission varies unpredictably among patients, and relapse is almost inevitable. Here, we examine the responses of several BRAF-mutated melanoma cell lines (including isogenic subclones) to BRAF inhibitors. We observe complex response dynamics across cell lines, with short-term responses (<100 h) varying from cell line to cell line. In the long term, however, we observe equilibration of all drug-treated populations into a nonquiescent state characterized by a balanced rate of death and division, which we term the "idling" state, and to our knowledge, this state has not been previously reported. Using mathematical modeling, we propose that the observed population-level dynamics are the result of cells transitioning between basins of attraction within a drug-modified phenotypic landscape. Each basin is associated with a drug-induced proliferation rate, a recently introduced metric of an antiproliferative drug effect. The idling population state represents a new dynamic equilibrium in which cells are distributed across the landscape such that the population achieves zero net growth. By fitting our model to experimental drug-response data, we infer the phenotypic landscapes of all considered melanoma cell lines and provide a unifying view of how BRAF-mutated melanomas respond to BRAF inhibition. We hypothesize that the residual disease observed in patients after targeted therapy is composed of a significant number of idling cells. Thus, defining molecular determinants of the phenotypic landscape that idling populations occupy may lead to "targeted landscaping" therapies based on rational modification of the landscape to favor basins with greater drug susceptibility.
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.