Effect of cellular quiescence on the success of targeted CML therapy

75Citations
Citations of this article
47Readers
Mendeley users who have this article in their library.

Abstract

Background. Similar to tissue stem cells, primitive tumor cells in chronic myelogenous leukemia have been observed to undergo quiescence; that is, the cells can temporarily stop dividing. Using mathematical models, we investigate the effect of cellular quiescence on the outcome of therapy with targeted small molecule inhibitors. Methods and Results. According to the models, the initiation of treatment can result in different patterns of tumor cell decline: a biphasic decline, a one-phase decline, and a reverse biphasic decline. A biphasic decline involves a fast initial phase (which roughly corresponds to the eradication of cycling cells by the drug), followed by a second and slower phase of exponential decline (corresponding to awakening and death of quiescent cells), which helps explain clinical data. We define the time when the switch to the second phase occurs, and identify parameters that determine whether therapy can drive the tumor extinct in a reasonable period of time or not. We further ask how cellular quiescence affects the evolution of drug resistance. We find that it has no effect on the probability that resistant mutants exist before therapy if treatment occurs with a single drug, but that quiescence increases the probability of having resistant mutants if patients are treated with a combination of two or more drugs with different targets. Interestingly, while quiescence prolongs the time until therapy reduces the number of cells to low levels or extinction, the therapy phase is irrelevant for the evolution of drug resistant mutants. If treatment fails as a result of resistance, the mutants will have evolved during the tumor growth phase, before the start of therapy. Thus, prevention of resistance is not promoted by reducing the quiescent cell population during therapy (e.g., by a combination of cell activation and drug-mediated killing). Conclusions. The mathematical models provide insights into the effect of quiescence on the basic kinetics of the response to targeted treatment of CML. They identify determinants of success in the absence of drug resistant mutants, and elucidate how quiescence influences the emergence of drug resistant mutants. © 2007 Komarova, Wodarz.

References Powered by Scopus

Stem cells, cancer, and cancer stem cells

8389Citations
N/AReaders
Get full text

Clinical resistance to STI-571 cancer therapy caused by BCR-ABL gene mutation or amplification

2842Citations
N/AReaders
Get full text

Overriding imatinib resistance with a novel ABL kinase inhibitor

1612Citations
N/AReaders
Get full text

Cited by Powered by Scopus

p53 Regulates Hematopoietic Stem Cell Quiescence

460Citations
N/AReaders
Get full text

Cancer stem cells: A step toward the cure

243Citations
N/AReaders
Get full text

Evolution of acquired resistance to anti-cancer therapy

204Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Komarova, N. L., & Wodarz, D. (2007). Effect of cellular quiescence on the success of targeted CML therapy. PLoS ONE, 2(10). https://doi.org/10.1371/journal.pone.0000990

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 18

53%

Researcher 10

29%

Professor / Associate Prof. 6

18%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 11

34%

Mathematics 9

28%

Medicine and Dentistry 6

19%

Biochemistry, Genetics and Molecular Bi... 6

19%

Save time finding and organizing research with Mendeley

Sign up for free