| Literature DB >> 19144199 |
Rita C S Figueira1, Luciana R Gomes, João S Neto, Fabricio C Silva, Ismael D C G Silva, Mari C Sogayar.
Abstract
BACKGROUND: The metastatic disease rather than the primary tumor itself is responsible for death in most solid tumors, including breast cancer. The role of matrix metalloproteinases (MMPs), tissue inhibitors of MMPs (TIMPs) and Reversion-inducing cysteine-rich protein with Kazal motifs (RECK) in the metastatic process has previously been established. However, in all published studies only a limited number of MMPs/MMP inhibitors was analyzed in a limited number of cell lines. Here, we propose a more comprehensive approach by analyzing the expression levels of several MMPs (MMP-2, MMP-9 and MMP-14) and MMP inhibitors (TIMP-1, TIMP-2 and RECK) in different models (five human breast cancer cell lines, 72 primary breast tumors and 30 adjacent normal tissues).Entities:
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Year: 2009 PMID: 19144199 PMCID: PMC2631003 DOI: 10.1186/1471-2407-9-20
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
General characteristics of previously described human breast cancer cell lines
| Cell Line | Histopathologycal type | Origin | ER | PR | Invasive potential | Metastatic potencial |
|---|---|---|---|---|---|---|
| MCF-7 | Invasive ductal carcinoma | Metastasis (pleural effusion) | + | + | + | -- |
| ZR-75-1 | Invasive ductal carcinoma | Metastasis (ascite) | + | + | ++ | -- |
| MDA-MB-435 | Invasive ductal carcinoma | Metastasis (pleural effusion) | - | - | +++ | ++++ |
| MDA-MB-231 | Invasive ductal carcinoma | Metastasis (pleural effusion) | - | - | ++++ | + |
| Hs578T | Carcinosarcoma | Tumor primary | - | - | ++++ | ++++ |
Table based on previously published data [39–41].
ER: status of estrogen receptor; PR: status of progesterone receptor (Negative (-), Positive (+)).
aInvasive potential analyzed by chemoinvasion assays through of reconstituted basal lamina (Matrigel) in transwell plates.
bMetastatic potential verified through of spontaneous metastasis assays in immune deficient mice
Sequence of primers used
| Gene | Primer sequence |
|---|---|
| MMP-2 | F: AGCTCCCGGAAAAGATTGATG |
| R: CAGGGTGCTGGCTGAGTAGAT | |
| MMP-9 | F: CCTGGAGACCTGAGAACCAATC |
| R: GATTTCGACTCTCCACGCATCT | |
| MMP-14 | F: GCAGAAGTTTTACGGCTTGCA |
| R: TCGAACATTGGCCTTGATCTC | |
| TIMP-1 | F: CCGCAGCGAGGAGTTTCTC |
| R: GAGCTAAGCTCAGGCTGTTCCA | |
| TIMP-2 | F: CGACATTTATGGCAACCCTATCA |
| R: GCCGTGTAGATAAACTCTATATCC | |
| RECK | F: TGCAAGCAGGCATCTTCAAA |
| R: ACCGAGCCCATTTCATTTCTG | |
| GAPDH | F: ACCCACTCCTCCACCTTTGA |
| R: CTGTTGCTGTAGCCAAATTCGT | |
| b-tulin | F: TCAACACCTTCTTCAGTGAAACG |
| R: AGTGCCAGTGCGAACTTCATC | |
| b-actin | F: GGCACCCAGCACAATGAAG |
| R: CCGATCCACACGGAGTACTTG | |
| HPRT | F: GAACGTCTTGCTCGAGATGTGA |
| R: TCCAGCAGGTCAGCAAAGAAT |
Figure 1Expression levels of MMPs (A) and their inhibitors (B) by qRT-PCR using total RNA from a panel of five human breast cancer cell lines, displaying increased degrees of invasiveness and metastatic potential, cultured on different substrates (plastic or Matrigel). GAPDH was used to normalize the values. Results are presented as MEANS ± SD of two independent experiments. P values were derived from One-way analysis of variance and Tukey-Kramer test. *, p < 0.05; **, p < 0.01 and ***p < 0.001, all versus control (MCF-7).
Figure 2Representative zymogram of gelatin zymography analysis to detect the activity of secreted MMP-2 and MMP-9 (three independent experiments) using conditioned medium from a panel of human breast cancer cell lines, displaying increased degrees of invasiveness and metastatic potential, cultured on different substrates (plastic or Matrigel).
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 | 72 | ||
| TIMP-1 | 0.25 | 72 | ||
| TIMP-2 | 0.10 | p = 0.3979 | 69 | |
| RECK | 0.44 | 72 | ||
| MMP-9 | MMP-14 | 0.75 | 70 | |
| TIMP-1 | 0.36 | 71 | ||
| TIMP-2 | 0.52 | 67 | ||
| RECK | 0.32 | 71 | ||
| MMP-14 | TIMP-1 | 0.52 | 75 | |
| TIMP-2 | 0.67 | 70 | ||
| RECK | 0.67 | 74 | ||
| TIMP-1 | TIMP-2 | 0.68 | 71 | |
| RECK | 0.66 | 75 | ||
| TIMP-2 | RECK | 0.80 | 70 | |
Correlations between gene expressions data were calculated using Pearson Correlation test.
(n) Number of analyzed samples
(r) Pearson correlation coefficient
Figure 3Expression levels of MMPs and their inhibitors by qRT-PCR. It was performed using total RNA from samples of primary breast tumors and adjacent normal border. β-actin was used to normalize the values. The statistical significance was determined using Student's t test.
Figure 4Analysis of the proteinase/inhibitor balance at transcriptional levels by qRT-PCR using total RNA from samples of primary breast tumors and adjacent normal border. β-actin was used to normalize the values. The statistical significance was determined using Student's t test.
Correlation between expression of MMPs and their inhibitors in samples of primary breast tumors
| Pearson Correlation Test | r | p-value | N | |
|---|---|---|---|---|
| MMP-2 | MMP-9 | 0.06 | p = 0.6523 | 67 |
| MMP-14 | 0.68 | 70 | ||
| TIMP-1 | -1.3 | p = 0.2968 | 70 | |
| TIMP-2 | 0.65 | 70 | ||
| RECK | 0.64 | 70 | ||
| MMP-9 | MMP-14 | 0.17 | p = 0.1586 | 67 |
| TIMP-1 | 0.07 | p = 0.6005 | 67 | |
| TIMP-2 | 0.21 | p = 0.0925 | 67 | |
| RECK | 0.04 | p = 0.7245 | 67 | |
| MMP-14 | TIMP-1 | -1.7 | p = 0.1474 | 70 |
| TIMP-2 | 0.61 | 70 | ||
| RECK | 0.49 | 70 | ||
| TIMP-1 | TIMP-2 | 0.06 | p = 0.6375 | 70 |
| RECK | -1.3 | p = 0.2702 | 70 | |
| TIMP-2 | RECK | 0.42 | 70 | |
Correlations between gene expressions data were calculated using Pearson Correlation test.
(n) Number of analyzed samples
(r) Pearson correlation coefficient