animal study of rh-endostatin combined with ginsenoside rg3 on inhibiting growth of breast cancer xenografts

animal study of rh-endostatin combined with ginsenoside rg3 on inhibiting growth of breast cancer xenografts

;Chuan-Ming Tong;Jing-Zhou Zheng
journal of communications 2016 Vol. 22 pp. 13-16
155
tong2016journalanimal

Abstract

Objective: To study the inhibiting effect of rh-endostatin combined with ginsenoside Rg3 on growth of breast cancer xenografts. Methods: C57BL/6 nude mice were selected as research subjects, animal models with breast cancer xenografts were established through subcutaneous injection of breast cancer cells in the neck and randomly divided into A-D groups, and normal saline, rh-endostatin, ginsenoside Rg3 and rh-endostatin combined with ginsenoside Rg3 were injected respectively. Tumor growth, serum angiogenesis factor contents, percentages of cell cycles and expression levels of cell cycle-related molecules in tumor tissue of four groups were compared. Results: 7 d, 14 d and 21 d after treatment, tumor volume as well as serum VEGF and bFGF contents of B group, C group and D group were significantly lower than those of A group, and tumor volume as well as serum VEGF and bFGF contents of D group were significantly lower than those of B group and C group; 21 d after treatment, tumor weight, percentages of S phase and G2/M phase as well as mRNA contents and protein contents of cyclin E and CDC25A in tumor tissue of B group, C group and D group were lower than those of A group, and G0/G1 phase percentages were higher than that of A group; tumor weight, percentages of S phase and G2/M phase as well as mRNA contents and protein contents of cyclin E and CDC25A in tumor tissue of D group were significantly lower than those of B group and C group, and G0/G1 phase percentage was lower than those of B group and C group. Conclusion: rh-endostatin combined with ginsenoside Rg3 can more effectively inhibit growth of breast cancer xenografts, make cell cycle arrest and down-regulate expression of cell cyclerelated molecules.

Citation

ID: 135558
Ref Key: tong2016journalanimal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
135558
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet