| Literature DB >> 24119788 |
Guangyu Yao1, Ping He2, Lujia Chen1, Xiaolei Hu1, Fan Gu1, Changsheng Ye1.
Abstract
BACKGROUND: Recent evidence suggests that vascular endothelial growth factor-C (VEGF-C)- dependent tumour production promotes lymphangiogenesis, while membrane-type matrix 1 metalloproteinase (MT1-MMP) is involved in the critical steps leading to carcinogenesis. However, the role of MT1-MMP in lymphangiogenesis and lymphatic metastasis remains poorly understood. In the present study, we investigated the relationship between MT1-MMP and VEGF-C in human breast cancer and correlated MT1-MMP and VEGF-C expression with lymphangiogenesis and prognosis.Entities:
Year: 2013 PMID: 24119788 PMCID: PMC3852241 DOI: 10.1186/1475-2867-13-98
Source DB: PubMed Journal: Cancer Cell Int ISSN: 1475-2867 Impact factor: 5.722
Figure 1The correlation between MT1-MMP and VEGF-C expression in human breast cancer cells. (a) MT1-MMP and VEGF-C mRNA expression. (b) MT1-MMP and VEGF-C protein expression.
Correlations between VEGF-C and MT1-MMP expression and the clinicopathological features of 106 breast cancers
| | ||||||
|---|---|---|---|---|---|---|
| Tumour | | | | | | |
| T1 | 14 (60.9%) | 9 (39.1%) | 0.023 | 11 (47.8%) | 12 (52.2%) | 0.247 |
| T2 | 30 (51.7%) | 28 (48.3%) | | 23 (39.7%) | 35 (60.3%) | |
| T3 | 7 (41.2%) | 10 (58.8%) | | 5 (29.4%) | 12 (70.6%) | |
| T4 | | 8 (100%) | | 1 (12.5%) | 7 (87.5%) | |
| N | | | | | | |
| N0 | 25 (67.6%) | 12 (32.4%) | 0.002 | 23 (62.2%) | 14 (37.8%) | <0.001 |
| N1 | 21 (45.7%) | 25 (54.3%) | | 15 (32.6%) | 31 (67.4%) | |
| N2 | 5 (21.7%) | 18 (78.3%) | | 2 (8.7%) | 21 (91.3%) | |
| Stage | | | | | | |
| I | 7 (77.8%) | 2 (22.2%) | 0.002 | 6 (66.7%) | 3 (33.3%) | <0.001 |
| II | 39 (54.2%) | 33 (45.8%) | | 32 (44.4%) | 40 (55.6%) | |
| III | 5 (20.0%) | 20 (80.0%) | | 2 (8.0%) | 23 (92.0%) | |
| ER | | | | | | |
| Positive | 21 (35.0%) | 39 (65.0%) | 0.002 | 41 (68.3%) | 19 (31.7%) | 0.1409 |
| Negative | 30 (65.2%) | 16 (34.8%) | | 25 (54.3%) | 21 (45.7%) | |
| PR | | | | | | |
| Positive | 27 (42.2%) | 37 (57.8%) | 0.132 | 43 (67.2%) | 21 (32.8%) | 0.1967 |
| Negative | 24 (57.1%) | 18 (42.9%) | | 23 (54.8%) | 19 (45.2%) | |
| Her2 | | | | | | |
| Positive | 24 (42.1%) | 33 (57.9%) | 0.181 | 37 (64.9%) | 20 (35.1%) | 0.5440 |
| Negative | 27 (55.1%) | 22 (57.9%) | 29 (59.2%) | 20 (40.8%) | ||
Patients’ characteristics
| Sex | |
| Female | 106(100%) |
| Histologic subtype | |
| IDC | 106(100%) |
| Median age | 47.1(25–81) |
| Menopausal status | |
| Pre | 43(40.6%) |
| Post | 63(59.4%) |
| Stage | |
| I | 9(8.5%) |
| II | 72(67.9%) |
| III | 25(23.6%) |
| Estrogen receptor status | |
| Positive | 60(56.6%) |
| Negative | 46(43.4%) |
| Progesterone receptor status | |
| Positive | 64(60.4%) |
| Negative | 42(39.6%) |
| Her2 | |
| Positive | 57(53.8%) |
| Negative | 49(46.2%) |
IDC = infiltrating ductal carcinoma.