Table 3.
Correlation between MMPs and their inhibitors in human breast cancer cell lines
| Pearson Correlation Test | R | p-value | n | |
|---|---|---|---|---|
| MMP-2 | MMP-9 | -0.17 | p = 0.1625 | 69 |
| MMP-14 | 0.47 | p < 0.0001 | 72 | |
| TIMP-1 | 0.25 | p = 0.0346 | 72 | |
| TIMP-2 | 0.10 | p = 0.3979 | 69 | |
| RECK | 0.44 | p < 0.0001 | 72 | |
| MMP-9 | MMP-14 | 0.75 | p < 0.0001 | 70 |
| TIMP-1 | 0.36 | p = 0.0022 | 71 | |
| TIMP-2 | 0.52 | p < 0.0001 | 67 | |
| RECK | 0.32 | p = 0.0059 | 71 | |
| MMP-14 | TIMP-1 | 0.52 | p < 0.0001 | 75 |
| TIMP-2 | 0.67 | p < 0.0001 | 70 | |
| RECK | 0.67 | p < 0.0001 | 74 | |
| TIMP-1 | TIMP-2 | 0.68 | p < 0.0001 | 71 |
| RECK | 0.66 | p < 0.0001 | 75 | |
| TIMP-2 | RECK | 0.80 | p < 0.0001 | 70 |
Correlations between gene expressions data were calculated using Pearson Correlation test.
(n) Number of analyzed samples
(r) Pearson correlation coefficient