Nonlinear growth kinetics of breast cancer stem cells: Implications for cancer stem cell targeted therapy

Xinfeng Liu; Sara Johnson; Shou Liu; Deepak Kanojia; Wei Yue; Udai Singn; Qian Wang; Qing Nie; Hexin Chen

doi:10.1038/srep02473

Nonlinear growth kinetics of breast cancer stem cells: Implications for cancer stem cell targeted therapy

Xinfeng Liu^*, Sara Johnson, Shou Liu, Deepak Kanojia, Wei Yue, Udai Singn, Qian Wang, Qing Nie, Hexin Chen

^*Corresponding author for this work

Neurological Surgery

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

Cancer stem cells (CSCs) have been identified in primary breast cancer tissues and cell lines. The CSC population varies widely among cancerous tissues and cell lines, and is often associated with aggressive breast cancers. Despite of intensive research, how the CSC population is regulated within a tumor is still not well understood so far. In this paper, we present a mathematical model to explore the growth kinetics of CSC population both in vitro and in vivo. Our mathematical models and supporting experiments suggest that there exist non-linear growth kinetics of CSCs and negative feedback mechanisms to control the balance between the population of CSCs and that of non-stem cancer cells. The model predictions can help us explain a few long-standing questions in the field of cancer stem cell research, and can be potentially used to predict the efficicacy of anti-cancer therapy.

Original language	English (US)
Article number	2473
Journal	Scientific reports
Volume	3
DOIs	https://doi.org/10.1038/srep02473
State	Published - 2013

Funding

The authors thank Dr. Rachel Schiff at the Baylor College of Medicine for providing MCF7/ neo and MCF7/HER2-18 cell lines and Dr. Pang-Kuo Lo for technical assistance on FACS analysis. This work was supported by the American Cancer Society Research Award (RSG-10-067-01-TBE) and NIH grant (1R01CA178386) to HC, by NSF grant (DMS1019544) to XL, by NIH grants (R01GM67247 and P50GM76516) and NSF grant (DMS 1161621) to QN, and by NSF grant (DMS-0908330, DMS-1200487, CMMI-0849317) and NIH grant (2R01GM078994-05A1) to QW1and a SC/EPSCOR GEAR award to QW1 and XL.

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title = "Nonlinear growth kinetics of breast cancer stem cells: Implications for cancer stem cell targeted therapy",

abstract = "Cancer stem cells (CSCs) have been identified in primary breast cancer tissues and cell lines. The CSC population varies widely among cancerous tissues and cell lines, and is often associated with aggressive breast cancers. Despite of intensive research, how the CSC population is regulated within a tumor is still not well understood so far. In this paper, we present a mathematical model to explore the growth kinetics of CSC population both in vitro and in vivo. Our mathematical models and supporting experiments suggest that there exist non-linear growth kinetics of CSCs and negative feedback mechanisms to control the balance between the population of CSCs and that of non-stem cancer cells. The model predictions can help us explain a few long-standing questions in the field of cancer stem cell research, and can be potentially used to predict the efficicacy of anti-cancer therapy.",

author = "Xinfeng Liu and Sara Johnson and Shou Liu and Deepak Kanojia and Wei Yue and Udai Singn and Qian Wang and Qing Nie and Hexin Chen",

note = "Funding Information: The authors thank Dr. Rachel Schiff at the Baylor College of Medicine for providing MCF7/ neo and MCF7/HER2-18 cell lines and Dr. Pang-Kuo Lo for technical assistance on FACS analysis. This work was supported by the American Cancer Society Research Award (RSG-10-067-01-TBE) and NIH grant (1R01CA178386) to HC, by NSF grant (DMS1019544) to XL, by NIH grants (R01GM67247 and P50GM76516) and NSF grant (DMS 1161621) to QN, and by NSF grant (DMS-0908330, DMS-1200487, CMMI-0849317) and NIH grant (2R01GM078994-05A1) to QW1and a SC/EPSCOR GEAR award to QW1 and XL.",

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T2 - Implications for cancer stem cell targeted therapy

AU - Liu, Xinfeng

AU - Johnson, Sara

AU - Liu, Shou

AU - Kanojia, Deepak

AU - Yue, Wei

AU - Singn, Udai

AU - Wang, Qian

AU - Nie, Qing

AU - Chen, Hexin

N1 - Funding Information: The authors thank Dr. Rachel Schiff at the Baylor College of Medicine for providing MCF7/ neo and MCF7/HER2-18 cell lines and Dr. Pang-Kuo Lo for technical assistance on FACS analysis. This work was supported by the American Cancer Society Research Award (RSG-10-067-01-TBE) and NIH grant (1R01CA178386) to HC, by NSF grant (DMS1019544) to XL, by NIH grants (R01GM67247 and P50GM76516) and NSF grant (DMS 1161621) to QN, and by NSF grant (DMS-0908330, DMS-1200487, CMMI-0849317) and NIH grant (2R01GM078994-05A1) to QW1and a SC/EPSCOR GEAR award to QW1 and XL.

PY - 2013

Y1 - 2013

N2 - Cancer stem cells (CSCs) have been identified in primary breast cancer tissues and cell lines. The CSC population varies widely among cancerous tissues and cell lines, and is often associated with aggressive breast cancers. Despite of intensive research, how the CSC population is regulated within a tumor is still not well understood so far. In this paper, we present a mathematical model to explore the growth kinetics of CSC population both in vitro and in vivo. Our mathematical models and supporting experiments suggest that there exist non-linear growth kinetics of CSCs and negative feedback mechanisms to control the balance between the population of CSCs and that of non-stem cancer cells. The model predictions can help us explain a few long-standing questions in the field of cancer stem cell research, and can be potentially used to predict the efficicacy of anti-cancer therapy.

AB - Cancer stem cells (CSCs) have been identified in primary breast cancer tissues and cell lines. The CSC population varies widely among cancerous tissues and cell lines, and is often associated with aggressive breast cancers. Despite of intensive research, how the CSC population is regulated within a tumor is still not well understood so far. In this paper, we present a mathematical model to explore the growth kinetics of CSC population both in vitro and in vivo. Our mathematical models and supporting experiments suggest that there exist non-linear growth kinetics of CSCs and negative feedback mechanisms to control the balance between the population of CSCs and that of non-stem cancer cells. The model predictions can help us explain a few long-standing questions in the field of cancer stem cell research, and can be potentially used to predict the efficicacy of anti-cancer therapy.

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Nonlinear growth kinetics of breast cancer stem cells: Implications for cancer stem cell targeted therapy

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