WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10013134,
	  title     = {The Effect of Aerobic Training and Taxol Consumption on IL 8 and PAI-1 in Cervical Cancer},
	  author    = {Alireza Barari and  Maryam Firoozi and  Maryam Ebrahimzadeh and  Romina Roohani Ardeshiri and  Maryam Kamarloeei},
	  country	= {},
	  institution	= {},
	  abstract     = {Background: The purpose of this study was to analyze the effect of six-week aerobic training and taxol consumption on interleukin-8 and Plasminogen Activator Inhibitor-1 (PAI-1) in mice with cervical cancer. Materials and Methods: In this experimental study, 40 female C57 mice with cervical cancer, eight weeks old, were randomly divided into 4 groups including: control, taxol supplement, training, and training-taxol supplement. The implantation of cancerous tumors was performed under the skin at the upper of the pelvis. The program training was included: endurance training for six weeks, 3 sessions per week and 50 minutes per session, at the speed of 14-18 m/s. Taxol supplement at a dose of 60 mg/kg per day was injected intraperitoneally. Data analysis was performed using t-test and one-way ANOVA and if statistically significant, Bonferroni post hoc was used at the significance level p < .05. Results: The results showed that there was a significant difference between the levels of interleukin 8 (P < 0.05, F = 12.25) and the PAI-1 (P < 0.05, P = 0.10737 between the 4 groups. The results of this study showed a significant difference between the control group and the training - complementary group. Six weeks of aerobic training and taxol consumption have a significant effect on the level of PAI-1 and interleukin-8 mice with cervical cancer. Conclusion: Considering the effect of training on these variables, this type of exercise can be used as a complementary therapeutic approach with other therapies for cervical cancer.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {17},
	  number    = {6},
	  year      = {2023},
	  pages     = {125 - 129},
	  ee        = {https://publications.waset.org/pdf/10013134},
	  url   	= {https://publications.waset.org/vol/198},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 198, 2023},
	}