Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Bioinformatics of Rhizoma Curcumae against Gastric Carcinoma Grafted on Mice

Authors
Huanping Lin, Xiaoping Wang, Qiaoxia Wang, Bing Xu, Na Chang
Corresponding Author
Huanping Lin
Available Online April 2017.
DOI
10.2991/emim-17.2017.124How to use a DOI?
Keywords
Rhizoma curcumae; Gastric cancer; Apoptosis; Signal transduction; Cytotoxicity
Abstract

Objective: The study is intended to explore the anti-tumor effect of the rhizoma curcumae in treatment of gastric cancer. Methods: Kunming mice grafted with a mouse gastric adenocarcinoma cell line MFC was used as the experimental model. The mice were divided into four groups, one control and the other three different drug administration experimental groups. The anti-tumor effect was assessed by tumor size, apoptotic indices (AI) and the expression of VEGF, STAT3 and HIF-1 in tumor tissues. Results: Compared with controls, tumor size and weigh were significantly inhibited with the rhizoma curcumae decoction treatment (P<0.05). AI in gastric cancer grafted mice was significantly increased in the rhizoma curcumae decoction group. The expression of VEGF, STAT3 and HIF-1 in tumor tissues were down-regulated after treated with rhizoma curcumae decoction. Conclusion: The anti-tumor effect of gastric cancer cell growth in vivo by rhizoma curcumae is related with the induction of the cell apoptosis and down-regulation of VEGF, STAT3 and HIF-1 signal transduction system.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.124How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huanping Lin
AU  - Xiaoping Wang
AU  - Qiaoxia Wang
AU  - Bing Xu
AU  - Na Chang
PY  - 2017/04
DA  - 2017/04
TI  - Bioinformatics of Rhizoma Curcumae against Gastric Carcinoma Grafted on Mice
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 615
EP  - 619
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.124
DO  - 10.2991/emim-17.2017.124
ID  - Lin2017/04
ER  -