TY - JOUR
T1 - A Strategy to Delay the Development of Cisplatin Resistance by Maintaining a Certain Amount of Cisplatin-Sensitive Cells
AU - Duan, Guihua
AU - Tang, Qianyuan
AU - Yan, Hongli
AU - Xie, Lijuan
AU - Wang, Yun
AU - Zheng, Xi Emily
AU - Zhuge, Yuzheng
AU - Shen, Shanshan
AU - Zhang, Bin
AU - Zhang, Xiaoqi
AU - Wang, Jun
AU - Wang, Wei
AU - Zou, Xiaoping
N1 - Funding information:
The authors are thankful to Chaoqin Duan, Chao Deng, Fang Zhou and Longyun Wu (Drum Tower Hospital) for help with the cell lines and animal experiments. The authors are also thankful to Baorui Liu (Drum Tower Hospital) for expert assistance in the experimental design. This work was supported by the Scientific Research Foundation of the Graduate School of Nanjing University (No. 2014CL07), The National Natural Science Foundation of China (No. 81672935, No. 81472756, No. 81272742, No. 81401977 and No. 81672935), and The Jiangsu Clinical Medical Center of Digestive Disease (No. BL2012001).
Publisher Copyright:
© The Author(s) 2017
PY - 2017/3/27
Y1 - 2017/3/27
N2 - Cisplatin (ddp), which is commonly employed in the treatment of many advanced cancers, often results in initial therapeutic success; however, rapid progression of ddp-resistant cells remains the main reason for treatment failure. Facd with such a problem, we investigated the fitness differences between ddp-sensitive and ddp-resistant cell lines. We found that the growth of ddp-resistant cells was significantly slower than that of sensitive cells due to elevated ROS levels, which suggested that the ddp resistance mechanisms may have negative impacts on the growth of resistant cells. Furthermore, we observed that, when mixed with ddp-sensitive cells, ddp-resistant cells failed to compete, and the growth of ddp-resistant cells could therefore be suppressed by treatment in vivo. We propose a mathematical model parameterized based on in vivo experiments to describe the allometric growth of tumors consisting of two competing subclones. According to our model, a quantitative strategy with a variant drug-dosing interval is proposed to control tumor growth. Taking advantage of intratumoral competition, our strategy with appropriate dosing intervals could remarkably delay the development of ddp resistance and prolong overall survival. Maintaining a certain number of ddp-sensitive cells rather than eradicating the tumor with continuous treatment is feasible for future tumor treatment.
AB - Cisplatin (ddp), which is commonly employed in the treatment of many advanced cancers, often results in initial therapeutic success; however, rapid progression of ddp-resistant cells remains the main reason for treatment failure. Facd with such a problem, we investigated the fitness differences between ddp-sensitive and ddp-resistant cell lines. We found that the growth of ddp-resistant cells was significantly slower than that of sensitive cells due to elevated ROS levels, which suggested that the ddp resistance mechanisms may have negative impacts on the growth of resistant cells. Furthermore, we observed that, when mixed with ddp-sensitive cells, ddp-resistant cells failed to compete, and the growth of ddp-resistant cells could therefore be suppressed by treatment in vivo. We propose a mathematical model parameterized based on in vivo experiments to describe the allometric growth of tumors consisting of two competing subclones. According to our model, a quantitative strategy with a variant drug-dosing interval is proposed to control tumor growth. Taking advantage of intratumoral competition, our strategy with appropriate dosing intervals could remarkably delay the development of ddp resistance and prolong overall survival. Maintaining a certain number of ddp-sensitive cells rather than eradicating the tumor with continuous treatment is feasible for future tumor treatment.
UR - http://www.scopus.com/inward/record.url?scp=85017145167&partnerID=8YFLogxK
U2 - 10.1038/s41598-017-00422-2
DO - 10.1038/s41598-017-00422-2
M3 - Journal article
C2 - 28348367
AN - SCOPUS:85017145167
SN - 2045-2322
VL - 7
JO - Scientific Reports
JF - Scientific Reports
M1 - 432
ER -