TY  - JOUR
AU  - Ortega-Sabater, Carmen
AU  - F. Calvo, Gabriel
AU  - Dinić, Jelena
AU  - Podolski-Renić, Ana
AU  - Pešić, Milica
AU  - Pérez-García, Víctor
PY  - 2023
UR  - https://link.springer.com/10.1007/s11538-022-01113-4
UR  - http://radar.ibiss.bg.ac.rs/handle/123456789/5357
AB  - Evolutionary dynamics allows us to understand many changes happening in a broad variety of biological systems, ranging from individuals to complete ecosystems. It is also behind a number of remarkable organizational changes that happen during the natural history of cancers. These reflect tumour heterogeneity, which is present at all cellular levels, including the genome, proteome and phenome, shaping its development and interrelation with its environment. An intriguing observation in different cohorts of oncological patients is that tumours exhibit an increased proliferation as the disease progresses, while the timescales involved are apparently too short for the fixation of sufficient driver mutations to promote explosive growth. Here, we discuss how phenotypic plasticity, emerging from a single genotype, may play a key role and provide a ground for a continuous acceleration of the proliferation rate of clonal populations with time. We address this question by combining the analysis of real-time growth of non-small-cell lung carcinoma cells (N-H460) together with stochastic and deterministic mathematical models that capture proliferation trait heterogeneity in clonal populations to elucidate the contribution of phenotypic transitions on tumour growth dynamics.
PB  - Springer
T2  - Bulletin of Mathematical Biology
T1  - Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations
IS  - 1
VL  - 85
DO  - 10.1007/s11538-022-01113-4
SP  - 8
ER  - 

@article{
author = "Ortega-Sabater, Carmen and F. Calvo, Gabriel and Dinić, Jelena and Podolski-Renić, Ana and Pešić, Milica and Pérez-García, Víctor",
year = "2023",
abstract = "Evolutionary dynamics allows us to understand many changes happening in a broad variety of biological systems, ranging from individuals to complete ecosystems. It is also behind a number of remarkable organizational changes that happen during the natural history of cancers. These reflect tumour heterogeneity, which is present at all cellular levels, including the genome, proteome and phenome, shaping its development and interrelation with its environment. An intriguing observation in different cohorts of oncological patients is that tumours exhibit an increased proliferation as the disease progresses, while the timescales involved are apparently too short for the fixation of sufficient driver mutations to promote explosive growth. Here, we discuss how phenotypic plasticity, emerging from a single genotype, may play a key role and provide a ground for a continuous acceleration of the proliferation rate of clonal populations with time. We address this question by combining the analysis of real-time growth of non-small-cell lung carcinoma cells (N-H460) together with stochastic and deterministic mathematical models that capture proliferation trait heterogeneity in clonal populations to elucidate the contribution of phenotypic transitions on tumour growth dynamics.",
publisher = "Springer",
journal = "Bulletin of Mathematical Biology",
title = "Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations",
number = "1",
volume = "85",
doi = "10.1007/s11538-022-01113-4",
pages = "8"
}

Ortega-Sabater, C., F. Calvo, G., Dinić, J., Podolski-Renić, A., Pešić, M.,& Pérez-García, V.. (2023). Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations. in Bulletin of Mathematical Biology
Springer., 85(1), 8.
https://doi.org/10.1007/s11538-022-01113-4

Ortega-Sabater C, F. Calvo G, Dinić J, Podolski-Renić A, Pešić M, Pérez-García V. Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations. in Bulletin of Mathematical Biology. 2023;85(1):8.
doi:10.1007/s11538-022-01113-4 .

Ortega-Sabater, Carmen, F. Calvo, Gabriel, Dinić, Jelena, Podolski-Renić, Ana, Pešić, Milica, Pérez-García, Víctor, "Stochastic Fluctuations Drive Non-genetic Evolution of Proliferation in Clonal Cancer Cell Populations" in Bulletin of Mathematical Biology, 85, no. 1 (2023):8,
https://doi.org/10.1007/s11538-022-01113-4 . .