| Title |
Curcumin suppresses lymphatic vessel density in an in vivo human gastric cancer model
|
|---|---|
| Published in |
Tumor Biology, February 2015
|
| DOI | 10.1007/s13277-015-3178-8 |
| Pubmed ID | |
| Authors |
Wei Da, Jinshui Zhu, Long Wang, Qun Sun |
| Abstract |
This study aimed to assess the effects of curcumin on lymphatic vessel density (LVD) in an in vivo model of gastric cancer using the gastric cancer cell line, SGC-7901. Gastric tumor-bearing nude mice were treated with saline or 40, 80, or 160 mg kg(-1) day(-1) curcumin for 8 weeks. The results indicated that the tumor volumes were significantly lower in mice treated with 80 and 160 mg kg(-1) day(-1) curcumin as compared with that of the control group (both P < 0.001). In addition, both 80 and 160 mg kg(-1) day(-1) curcumin significantly reduced LVD (both P < 0.01). Although immunohistochemical analysis showed that curcumin did not significantly alter the expression of prospero homeobox 1 (Prox-1), podoplanin, and vascular endothelial growth factor receptor 3 (VEGFR-3), 160 mg kg(-1) day(-1) curcumin significantly decreased the expression of Prox-1, podoplanin, and VEGFR-3 levels as detected by Western blot analysis (P ≤ 0.03). Downregulation of lymphatic vessel endothelial receptor 1 (LYVE-1), Prox-1, podoplanin, and VEGFR-3 mRNA expression by curcumin was also detected (all P < 0.05). Furthermore, the apoptosis rates of tumor cells increased with curcumin in a concentration-dependent manner (all P < 0.001). Thus, curcumin may inhibit gastric cancer lymph node metastasis. Our findings provide theoretical evidence and an experimental basis for further analysis of the clinical application of curcumin in the therapy of gastric cancer. |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 22% |
| Student > Ph. D. Student | 5 | 19% |
| Student > Bachelor | 4 | 15% |
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Agricultural and Biological Sciences | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Nursing and Health Professions | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 7 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 September 2016.
All research outputs
#20,433,667
of 22,986,950 outputs
Outputs from Tumor Biology
#1,843
of 2,630 outputs
Outputs of similar age
#302,026
of 358,493 outputs
Outputs of similar age from Tumor Biology
#98
of 168 outputs
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