Effects of Anticancer Chinese Medicines Screened Out by Data Mining on Proliferation and Migration of Triple-negative Breast Cancer Cells / 广州中医药大学学报

ABSTRACT

Objective To screen out some Chinese medicines with obvious inhibitory actions on triple-negative breast cancer based on data mining. Methods Literatures of breast cancer effectively treated by Chinese medicine issued in recent 15 years were collected, and then the frequency analysis and cluster analysis were used to screen the frequently-used herbs. According to the above results, the serum containing the obtained drugs were prepared respectively. And then the proliferation, migration and invasion abilities of breast cancer cells MDB-MB-231 treated with the serum containing various Chinese medicines for 12, 24 h were observed by methyl thiazolyl tetrazolium(MTT) assay and transwell cell invasion and migration experiments, respectively. Results The frequently-used herbs were screened out as Rhizoma Chuanxiong, Herba Taraxaci, Herba Hedyotis Diffusae, Radix Trichosanthis, Radix Achyranthis Bidentatae. The proliferation of MDB-MB-231 cells was significantly inhibited by serum seperately containing Rhizoma Chuanxiong, Herba Taraxaci, Herba Hedyotis Diffusae, Radix Trichosanthis, and Radix Achyranthis Bidentatae to different degrees, and the migration abilities of MDB-MB-231 cells were obviously inhibited by serum containing Herba Taraxaci, Herba Hedyotis Diffusae, Radix Achyranthis Bidentatae, respectively. And the invasion abilities of MDB-MB-231 cells were obviously inhibited by serum containing Herba Taraxaci, Rhizoma Chuanxiong, Herba Hedyotis Diffusae, respectively. Conclusion Chinese medicines such as Rhizoma Chuanxiong, Herba Taraxaci, Herba Hedyotis Diffusae, Radix richosanthis, Radix Achyranthis Bidentatae obtained by data mining technology have obviously inhibitory effects on triple-negative breast cancer.