Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells
Targeted therapy is an effective standard of care in BRAF-mutated malignant melanoma. However, tumor remission varies unpredictably among patients and relapse is almost inevitable. Surprisingly, most of our current knowledge of tumor recurrence is derived from post-resistant tumor analyses, or singl...
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ndltd-VANDERBILT-oai-VANDERBILTETD-etd-11212017-2203362018-02-20T05:17:24Z Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells Paudel, Buddhi Bishal Chemical and Physical Biology Targeted therapy is an effective standard of care in BRAF-mutated malignant melanoma. However, tumor remission varies unpredictably among patients and relapse is almost inevitable. Surprisingly, most of our current knowledge of tumor recurrence is derived from post-resistant tumor analyses, or single time-point drug response measurements. Very little is known about critical events during early response that precede resistance, or about the actual dynamics of drug response in treated melanoma cells. Filling this knowledge gap may engender key advances in targeted therapy of melanoma. To this end, we used an integrative approach using experimentation and mathematical modeling to quantify drug response dynamics in BRAF-mutated melanoma cells. Across all cell lines tested, we observed complex short-term responses (<100 h) varying from cell line to cell line. In contrast, the long-term dynamics were homogeneous, as all cell lines transitioned into a non-quiescent state of balanced death and division, which we term idling state. By applying a mathematical modeling framework of epigenetic landscape and phenotypic state transitions, we show that the observed population-level dynamics, in each cell line, can be interpreted as the result of a re-equilibration of the cell population across basins of attraction within drug-modified phenotypic landscapes. This modeling framework provides a unifying view of BRAF inhibition response dynamics in BRAF-mutated melanomas, whereby the short-term response is reflective of an initial re-equilibration process among distinct response phenotypic states, while idling constitutes the final equilibrated state. We propose that inferring the molecular drivers of the epigenetic landscapes that idling cells occupy before and after equilibration will provide rational therapeutic approaches to prevent or delay tumor recurrence. Kimbery B. Dahlman Gregor Neuert Carlos F. Lopez Sandra S. Zinkel Thomas E. Yankeelov Vito Quaranta VANDERBILT 2018-02-19 text application/pdf http://etd.library.vanderbilt.edu/available/etd-11212017-220336/ http://etd.library.vanderbilt.edu/available/etd-11212017-220336/ en restrictone I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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Chemical and Physical Biology |
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Chemical and Physical Biology Paudel, Buddhi Bishal Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells |
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Targeted therapy is an effective standard of care in BRAF-mutated malignant melanoma. However, tumor remission varies unpredictably among patients and relapse is almost inevitable. Surprisingly, most of our current knowledge of tumor recurrence is derived from post-resistant tumor analyses, or single time-point drug response measurements. Very little is known about critical events during early response that precede resistance, or about the actual dynamics of drug response in treated melanoma cells. Filling this knowledge gap may engender key advances in targeted therapy of melanoma. To this end, we used an integrative approach using experimentation and mathematical modeling to quantify drug response dynamics in BRAF-mutated melanoma cells. Across all cell lines tested, we observed complex short-term responses (<100 h) varying from cell line to cell line. In contrast, the long-term dynamics were homogeneous, as all cell lines transitioned into a non-quiescent state of balanced death and division, which we term idling state. By applying a mathematical modeling framework of epigenetic landscape and phenotypic state transitions, we show that the observed population-level dynamics, in each cell line, can be interpreted as the result of a re-equilibration of the cell population across basins of attraction within drug-modified phenotypic landscapes. This modeling framework provides a unifying view of BRAF inhibition response dynamics in BRAF-mutated melanomas, whereby the short-term response is reflective of an initial re-equilibration process among distinct response phenotypic states, while idling constitutes the final equilibrated state. We propose that inferring the molecular drivers of the epigenetic landscapes that idling cells occupy before and after equilibration will provide rational therapeutic approaches to prevent or delay tumor recurrence.
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author2 |
Kimbery B. Dahlman |
author_facet |
Kimbery B. Dahlman Paudel, Buddhi Bishal |
author |
Paudel, Buddhi Bishal |
author_sort |
Paudel, Buddhi Bishal |
title |
Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells |
title_short |
Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells |
title_full |
Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells |
title_fullStr |
Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells |
title_full_unstemmed |
Understanding Drug Response Dynamics in BRAF-mutated Melanoma Cells |
title_sort |
understanding drug response dynamics in braf-mutated melanoma cells |
publisher |
VANDERBILT |
publishDate |
2018 |
url |
http://etd.library.vanderbilt.edu/available/etd-11212017-220336/ |
work_keys_str_mv |
AT paudelbuddhibishal understandingdrugresponsedynamicsinbrafmutatedmelanomacells |
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1718614755519758336 |