scholarly journals Phenotype heterogeneity in cancer cell populations

2016 ◽  
Author(s):  
Luis Almeida ◽  
Rebecca Chisholm ◽  
Jean Clairambault ◽  
Alexandre Escargueil ◽  
Tommaso Lorenzi ◽  
...  
Keyword(s):  
Cancer Cell ◽  
Cell Populations ◽  
Phenotype Heterogeneity

scholarly journals Discrete and continuum phenotype-structured models for the evolution of cancer cell populations under chemotherapy

2020 ◽  
Vol 15 ◽  
pp. 14 ◽  
Author(s):  
Rebecca E.A. Stace ◽  
Thomas Stiehl ◽  
Mark A.J. Chaplain ◽  
Anna Marciniak-Czochra ◽  
Tommaso Lorenzi
Keyword(s):  
Cancer Cell ◽  
Cell Population ◽  
Evolutionary Dynamics ◽  
Analytical Description ◽  
Chemotherapeutic Agents ◽  
Cell Populations ◽  
Theoretical Ground ◽  
Individual Based Model ◽  
Nonlocal Parabolic Equation ◽  
Epigenetic Drug

We present a stochastic individual-based model for the phenotypic evolution of cancer cell populations under chemotherapy. In particular, we consider the case of combination cancer therapy whereby a chemotherapeutic agent is administered as the primary treatment and an epigenetic drug is used as an adjuvant treatment. The cell population is structured by the expression level of a gene that controls cell proliferation and chemoresistance. In order to obtain an analytical description of evolutionary dynamics, we formally derive a deterministic continuum counterpart of this discrete model, which is given by a nonlocal parabolic equation for the cell population density function. Integrating computational simulations of the individual-based model with analysis of the corresponding continuum model, we perform a complete exploration of the model parameter space. We show that harsher environmental conditions and higher probabilities of spontaneous epimutation can lead to more effective chemotherapy, and we demonstrate the existence of an inverse relationship between the efficacy of the epigenetic drug and the probability of spontaneous epimutation. Taken together, the outcomes of the model provide theoretical ground for the development of anticancer protocols that use lower concentrations of chemotherapeutic agents in combination with epigenetic drugs capable of promoting the re-expression of epigenetically regulated genes.

scholarly journals Cancer stem cells and cisplatin‐resistant cells isolated from non‐small‐lung cancer cell lines constitute related cell populations

2014 ◽  
Vol 3 (5) ◽  
pp. 1099-1111 ◽  
Author(s):  
Blanca D. Lopez‐Ayllon ◽  
Veronica Moncho‐Amor ◽  
Ander Abarrategi ◽  
Inmaculada Ibañez Cáceres ◽  
Javier Castro‐Carpeño ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Stem Cells ◽  
Cancer Stem Cells ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cancer Cell Lines ◽  
Cell Populations ◽  
Lung Cancer Cell ◽  
Related Cell ◽  
Resistant Cells

Capturing quantitative features of protein expression from in situ fluorescence microscopic images of cancer cell populations

2017 ◽  
pp. 279-297
Author(s):  
Joana Figueiredo ◽  
Ana Sofia Ribeiro ◽  
Tânia Mestre ◽  
Sofia Esménio ◽  
Martina Fonseca ◽  
...  
Keyword(s):  
Protein Expression ◽  
Cancer Cell ◽  
Cell Populations ◽  
Microscopic Images

scholarly journals Genetic Load and Potential Mutational Meltdown in Cancer Cell Populations

2019 ◽  
Vol 36 (3) ◽  
pp. 541-552 ◽  
Author(s):  
Yuezheng Zhang ◽  
Yawei Li ◽  
Tao Li ◽  
Xu Shen ◽  
Tianqi Zhu ◽  
...  
Keyword(s):  
Cancer Cell ◽  
Genetic Load ◽  
Cell Populations ◽  
Mutational Meltdown

scholarly journals Quantifying the influence of mutation detection on tumour subclonal reconstruction

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Lydia Y. Liu ◽  
Vinayak Bhandari ◽  
Adriana Salcedo ◽  
Shadrielle M. G. Espiritu ◽  
Quaid D. Morris ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Cancer Cells ◽  
Clinical Outcomes ◽  
Cancer Cell ◽  
Genome Sequencing ◽  
Somatic Mutations ◽  
Mutation Detection ◽  
Cell Populations ◽  
Whole Genome ◽  
Prostate Cancers

AbstractWhole-genome sequencing can be used to estimate subclonal populations in tumours and this intra-tumoural heterogeneity is linked to clinical outcomes. Many algorithms have been developed for subclonal reconstruction, but their variabilities and consistencies are largely unknown. We evaluate sixteen pipelines for reconstructing the evolutionary histories of 293 localized prostate cancers from single samples, and eighteen pipelines for the reconstruction of 10 tumours with multi-region sampling. We show that predictions of subclonal architecture and timing of somatic mutations vary extensively across pipelines. Pipelines show consistent types of biases, with those incorporating SomaticSniper and Battenberg preferentially predicting homogenous cancer cell populations and those using MuTect tending to predict multiple populations of cancer cells. Subclonal reconstructions using multi-region sampling confirm that single-sample reconstructions systematically underestimate intra-tumoural heterogeneity, predicting on average fewer than half of the cancer cell populations identified by multi-region sequencing. Overall, these biases suggest caution in interpreting specific architectures and subclonal variants.

Abstract 514: Genetic load in cancer cell populations

2017 ◽  
Author(s):  
Yuezheng Zhang ◽  
Xu Shen ◽  
Yawei Li ◽  
Tianqi Zhu ◽  
Yong Tao ◽  
...  
Keyword(s):  
Cancer Cell ◽  
Genetic Load ◽  
Cell Populations

DOWN-REGULATION OF ALDH1A1 INCREASED EXPRESSION OF CARCINOGENESIS-RELATED GENES IN NON-SMALL CELL LUNG CANCER CELL LINE OF A549

2016 ◽  
Vol 78 (11-3) ◽  
Author(s):  
Noor Hanis Abu Halim ◽  
Norashikin Zakaria ◽  
Badrul Hisham Yahaya
Keyword(s):  
Lung Cancer ◽  
Cell Line ◽  
Cancer Cell ◽  
Cancer Cell Line ◽  
Lung Cancer Cell Line ◽  
Cell Populations ◽  
Parental Population ◽  
Lung Cancer Cell ◽  
Gene Expressions ◽  
Significant Difference

Purpose: This study was aimed to isolate the putative cancer stem cell (CSC) populations from A549 lung cancer cell line and to evaluate the difference of carcinogenesis-related genes expression within parental population (A549) and isolated CSC populations (A549 CD166+ /EpCAM+ and CD166+ /CD44+). Methods: We performed flow cytometry analysis to sort out cell positive for these markers; CD166+ /EpCAM + and CD166+ /CD44+ from A549 cancer cell line. The isolated cells were tested for multipotent capacities by clonogenic and differentiation assays. Quantitative real time PCR was performed for both isolated CSC population and parental population to test expression of ALDH1A1 and 6 other genes that known to contribute to carcinogenesis; RARβ CYP24A1, BIRC5, EDN1, IL1β and PTGS2. Result(s): Both CD166+ /EpCAM+ and CD166+ /CD44+ have ability to form colonies and able to differentiate into adipocytes and osteocyte. Expression of ALDH1A1 was downregulated in all three cell populations (parental A549, A549 CD166+ /EpCAM+ and A549 CD166+ /CD44+) whereas the other 6 carcinogenesis-related genes were upregulated in all three cancer cell populations. There are no significant differences of gene expressions were detected among all three populations (p > 0.05). Conclusion(s): Downregulation of ALDH1A1 in all three cancer populations up-regulate the expression of other 6 carcinogenesis-related genes. Gene regulations between parental cancer cell (A549) and both putative CSC populations show no significant difference suggesting the existence of various CSC subpopulations reside within parental A549 population

scholarly journals Emergence of cytotoxic resistance in cancer cell populations*

2015 ◽  
Vol 5 ◽  
pp. 00009
Author(s):  
Tommaso Lorenzi ◽  
Rebecca H. Chisholm ◽  
Alexander Lorz ◽  
Annette K. Larsen ◽  
Luís Neves de Almeida ◽  
...  
Keyword(s):  
Cancer Cell ◽  
Cell Populations
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