TY - JOUR
T1 - Growth dynamics of breast cancer stem cells
T2 - effects of self-feedback and EMT mechanisms
AU - Pang, Liuyong
AU - Liu, Sanhong
AU - Zhao, Zhong
AU - Tian, Tianhai
AU - Zhang, Xinan
AU - Li, Qiuying
N1 - Funding Information:
This research is partially supported by the National Natural Science Foundation of China (Nos. 12001417, 12071407, 11871060, 61973177), the Science and Technology Key Project of Henan Province of China (212102310464, 22210210028), the Key Scientific Research Project of Higher Education Institutions of Henan Province (21A110015,19B110009,20B110008), the project of the Distinguished Professor of colleges and universities of Henan province in 2019, and innovation research term of Hubei University of Science and Technology (2022T05).
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022/8/3
Y1 - 2022/8/3
N2 - Breast cancer stem cells (BCSCs) with the ability to self-renew and differentiate have been identified in primary breast cancer tissues and cell lines. The BCSCs are often resistant to traditional radiation and/or chemotherapies. Previous studies have also shown that successful therapy must eradicate cancer stem cells. The purpose of this paper is to develop a mathematical model with self-feedback mechanism to illustrate the issues regarding the difficulties of absolutely eliminating a breast cancer. In addition, we introduce the mechanism of the epithelial-mesenchymal transition (EMT) to investigate the influence of EMT on the effects of breast cancer growth and treatment. Results indicate that the EMT mechanism facilitates the growth of breast cancer and makes breast cancer more difficult to be cured. Therefore, targeting the signals involved in EMT can halt tumor progression in breast cancer. Finally, we apply the experimental data to carry out numerical simulations and validate our theoretical conclusions.
AB - Breast cancer stem cells (BCSCs) with the ability to self-renew and differentiate have been identified in primary breast cancer tissues and cell lines. The BCSCs are often resistant to traditional radiation and/or chemotherapies. Previous studies have also shown that successful therapy must eradicate cancer stem cells. The purpose of this paper is to develop a mathematical model with self-feedback mechanism to illustrate the issues regarding the difficulties of absolutely eliminating a breast cancer. In addition, we introduce the mechanism of the epithelial-mesenchymal transition (EMT) to investigate the influence of EMT on the effects of breast cancer growth and treatment. Results indicate that the EMT mechanism facilitates the growth of breast cancer and makes breast cancer more difficult to be cured. Therefore, targeting the signals involved in EMT can halt tumor progression in breast cancer. Finally, we apply the experimental data to carry out numerical simulations and validate our theoretical conclusions.
KW - Breast cancer stem cells
KW - Epithelial-mesenchymal transition
KW - Mathematical modelling
KW - Numerical simulations
KW - Self-feedback
UR - http://www.scopus.com/inward/record.url?scp=85135520754&partnerID=8YFLogxK
U2 - 10.1007/s12064-022-00374-w
DO - 10.1007/s12064-022-00374-w
M3 - Article
AN - SCOPUS:85135520754
VL - 141
SP - 297
EP - 311
JO - Theory in Biosciences
JF - Theory in Biosciences
SN - 1431-7613
ER -
