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1.
The Journal of Practical Medicine ; (24): 527-530, 2018.
Article in Chinese | WPRIM | ID: wpr-697647

ABSTRACT

Objective An optimal radiation dose was made research on tumor cells to develop effective tumor fusion vaccines. Methods We used the RS 2000 biological X-ray radiation instrument to produce different dose of X-rays.Mouse liver cancer cells line,BNL 1ME a.7R.1(MEAR),was used for experiment.The RS 2000 biological X-ray radiation was applied to create different tumor cell clones,which could help us to study the rela-tionship between irradiation dose and tumor cells′proliferation activity.Furthermore,the fusion cells′anti-tumor ef-fect was examined by flow cytometry. Results High-dose radiation would induce the lower proliferation of cancer cells than low-dose irradiation do.Conclusions During the preparation of fusion vaccines,irradiation dose should be considered as a factor that would influence the tumor cells′ proliferation activity. When the dose of irradiation was appropriate,we could make safe and efficient integration cell vaccines.

2.
Journal of Xi'an Jiaotong University(Medical Sciences) ; (6)1981.
Article in Chinese | WPRIM | ID: wpr-547472

ABSTRACT

Objective To study the effect of Guizhi Fuling Wan(GFW) on tumor apoptosis and apply the experimenting basis of GFW's development and utilization.Methods The S180 mice sarcoma model was used to detect the inhibitory effects of GFW,observe the ultrastructural change by electron microscopy,and the flow cytometer was used for apoptosis determination.The protein expression of P21waf/cip and the mRNA expression of Survivin were evaluated by immunohistochemistry and in situ hybridization.Results For S180 sarcoma,the inhibition ratio of GFW was 38.93%.The apoptosis was 17.79% by the flow cytometer.Some typical apoptotic cells and apoptotic bodies were observed through electron microscope.Chromatin gathered at the side of cell,the nucleus turned into the nucleus band and nucleus projected.Survivin mRNA markedly declined in the GFW group when compared with that in the model group(P

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