Abstract
A guanine insertion polymorphism in matrix metalloproteinase-1 promoter (MMP-1 2G) is linked to early onset and aggressiveness in cancer. We determined the role of MMP-1 2G on the level of MMP-1 expression and breast cancer severity in benign breast disease, atypical hyperplasia, invasive and non invasive (in situ) breast cancer. We observed no significant difference in genotype distribution among the different breast disease groups. However, the level of MMP-1 expression was significantly higher in atypical ductal hyperplasia compared to benign breast disease; and in invasive breast cancer compared to in situ breast cancer. MMP-1 2G insertion polymorphism in the invasive group also correlated significantly with the expression of MMP-1 and breast cancer prognostic markers HER2 and P53.
Introduction
Matrix Metalloproteinases (MMPs) are a large family of calcium-dependent zinc-containing proteinases. They actively participate in the remodeling of extracellular matrix (ECM) by degrading certain ECM components and promoting cell proliferation, migration, differentiation, apoptosis and angiogenesis (1-5). MMPs are not only involved in physical process such as growth, wound healing and fibrosis, but also play an important role in tumor invasion and progression (6-16). Among all the identified MMPs, MMP-1 is the most ubiquitously expressed interstitial collagenase. It is also one of the few MMPs that can cleave collagen I, and III, the major components of ECM, which must be degraded for tumor invasion and metastasis to occur (17). In the literature, MMP-1 has been implicated in both early detection and prognosis of breast cancer and increased expression of MMP-1 has been reported to be significantly associated with precancerous status (18). Over-expression of MMP-1 mRNA has been correlated with high frequency of recurrence and fatal outcome (19).
A number of mechanisms can impact the level and the activity of MMPs, among which transcriptional regulation plays one of the most important roles. It has been reported that a single guanine insertion at -1607 bp in the promoter region of MMP-1creates a binding site (5’-GGAT-3’) for transcription factor ETS which can cooperate with the adjacent AP-1 binding site to induce high level expression of MMP-1 through enhancing the activity of the basal transcriptional machinery, but the 1G allele (5’-GAT-3’) does not affect the transcriptional activity of MMP-1(20, 21). MMP-1 2G polymorphism has been associated with lymph node metastasis in breast cancer (22, 23) and has also been linked to the pathogenesis of other cancers, for example, to the early-onset of lung cancer (24), increased risk of nasopharyngeal carcinoma, oral squamous cell carcinoma and colorectal cancer (25-27), aggressiveness of head and neck cancer (28, 29), development and progression of endometrial carcinoma (30) and negative prognosis in patients with ovarian cancer (31).
In this study, we sequenced the genotype of 132 patients categorized as invasive, in situ breast cancer; atypical hyperplasia or benign breast disease and analyzed the tissue expression of MMP-1 in these diseases to determine the impact of MMP-1 2G insertion polymorphism and MMP-1 expression on the occurrence and severity of breast cancer. We further explored the possible relationship of MMP-1 expression and MMP-1 polymorphism with other known clinical markers of breast cancer such as HER2 and P53.
Materials and Methods
Subject selection
All participants were fully consented patients recruited under the Institutional Review Board approved protocols of the Clinical Breast Care Project (CBCP). They were women, 18 years of age and above, who were attending the breast clinics of the CBCP at the Walter Reed Army Medical Center (WRAMC) in Washington DC, USA, and the Joyce Murtha Breast Care Center (JMBCC)/Windber Medical Center (WMC) in Windber, PA, USA. A total of 180 patients were recruited out of which we obtained sequencing data for 132 patients consisting of 52 invasive breast cancers [IBC], 50 ductal/lobular carcinoma in situ [DCIS/LCIS], 13 atypical ductal hyperplasia [ADH] and 17 benign breast disease. The benign patients were mainly those exhibiting fibrocystic changes (stromal fibrosis, cysts, apocrine metaplasia, sclerosing adenosis, intraductal hyperplasia). Other benign diagnoses included microcalcifications, adenomatous change, columnar cell change, and intraductal papillomas. The median ages for IBC, DCIS/LCIS, ADH and benign groups were 62 years (range: 36 - 86), 55 years (range: 25 - 84), 49 years (19 -74) and 45 years (range: 26 - 71) respectively. Immunohistochemistry data for MMP-1 was determined for 165 patients. Characteristics of the patients with breast cancer are summarized in Table 1.
Table 1.
Clinicopathological characteristics of patients with breast cancer
| Parameters | n=136 (%) | |
|---|---|---|
| Age(years) | <59 | 58(43) |
| ≥59 | 61(45) | |
| Ethnicity | AA | 29(21) |
| White | 77(57) | |
| Other | 13(10) | |
| Menopausal status | Premenopausal | 36(26) |
| Postmenopausal | 82(60) | |
| Tumor stage | 0 | 64(47) |
| I | 22(16) | |
| II | 26(19) | |
| III | 9(7) | |
| IV | 8(6) | |
| Histological grade | G1 | 14(10) |
| G2 | 34(25) | |
| G3 | 29(21) | |
| Tumor size | T1 | 29(21) |
| T2 | 32(24) | |
| T3 | 6(4) | |
| Nodal status | Negative | 97(71) |
| Positive | 32(24) | |
| ER | Negative | 24(18) |
| Positive | 88(65) | |
| PR | Negative | 48(35) |
| Positive | 64(47) | |
| HER2 | Negative | 40(29) |
| Positive | 30(22) | |
| P53 | Negative | 29(21) |
| Positive | 28(21) |
Genotyping
Blood clot was obtained after processing peripheral blood into serum. Blood DNA was extracted from blood clots using the QIAamp blood DNA commercial kit (Qiagen). The DNA was then utilized for polymerase chain reaction to amplify MMP-1 gene as earlier described (21). Briefly, PCR reaction was carried out in a total volume of 50 μl with 100ng genomic DNA, 0.2mM dNTP, 2mM MgSO4, 50nM each of the two primers and 1unit of platinum Taq DNA high fidelity polymerase (Invitrogen). The primer sequences for amplifying MMP-1 were: forward primer 5’TTGCCAGATGGGACAGTGTATGAG-3’; reverse primer 5’-ACATTAAATTGTCTTGGGTACTGGT-3’. The PCR reaction started with 30 seconds incubation at 94°C followed by 10 cycles of 30 seconds incubation at 94°C, 30 seconds incubation at 52°C, and 2 minutes incubation at 68°C; 30 cycles of 30 seconds incubation at 94°C, 30 seconds incubation at 55°C, and 1 minute 30 seconds at 68°C with 4 minutes incubation at 68°C. The amplification was verified on 1.2% agarose gel.
PCR products were cleaned up with Exonuclease I & Shrimp Alkaline Phosphatase (Affymetrics) to remove primers. Cycle sequencing reactions were performed with a nested primer (5’-AGTGTTCTTTGGTCTCTGC-3’) and purified by ethanol precipitation (including 7.5M ammonium acetate). DNA pellets were then dried, resuspended in MegaBACE Loading Solution and sequenced using the MegaBACE 1000 (GE Healthcare). Data was analyzed with Sequence Analysis v4.0 software (GE Healthcare).
Immunohistochemistry (IHC)
Formalin-fixed paraffin embedded sections of the selected cases were retrieved from the tissue repository to determine expression level of MMP-1 by IHC. The pathological diagnosis of each case was confirmed by the CBCP pathologist using a freshly prepared Hematoxylin and Eosin slide. For all confirmed cases, seven slides of 4 microns sections were cut and subjected to IHC analysis for MMP-1. Antibody optimization was performed to establish the required optimal conditions. For the determination of MMP-1 expression, we utilized a polyclonal rabbit antibody at 1:80 dilutions (LabVision, Catalog # RB-1536-P). The antibody was derived against a synthetic peptide from the middle region of the human MMP-1 and can recognize both the 52 kDa (unglycosylated) /57 kDa (glycosylated) species of the pro-form and 42 kDa (unglycosylated)/47 kDa (glycosylated) active form of MMP-1(32, 33). Detailed information on antibody specificity are as earlier described (32, 33). All IHC was performed at MDR Global Inc., Windber, PA, using standardized procedures and protocols. Briefly, each section was placed on positively charged slides which were then dried at 59°C, before placing in SubX solution prior to deparaffinization and antigen recovery using Dako PT Module. The non-enzymatic antigen recovery step was performed in a patented microwave oven and the slides were washed thoroughly in distilled water before placing in TBS buffer. Immunostaining was performed on the Dako Autostainer with the application of primary antibody followed by washing the slides again with TBS buffer. The appropriate detection reagent was then dispensed onto the slides followed by another wash in TBS buffer and Diaminobenzidine “DAB”/hydrogen peroxide for color visualization. All the slides were counterstained with hematoxylin. Pre-analytical processes such as antigen retrieval and dilution determination were performed on a known positive control, in this case, placenta (syncytiotrophoblast layer). Placenta provided internal negative control as well (blood vessels and lymphatics) and these elements were evaluated in each run. The immunohistochemistry result for MMP-1 was assessed according to MMP-1 staining intensity in tumor cells as follows: 0, no staining; 1+, mild staining; 2+, moderate staining and 3+, intense staining (Figure1). Available IHC data for ER, PR, HER2, and P53 was queried from the clinical database of the CBCP. Evaluation of the expression of ER, PR, P53 was based on the percentage of nuclear staining of the tumor cells. For ER/PR: 0-5% negative, ≥5% positive; for P53: 0-50% negative, ≥50% positive. HER2 expression was assessed according to ASCO/CAP guideline and was based on the intensity and percentage of the membrane staining of tumor cells; 0/1+ negative, 2+ reflex to FISH, and 3+ positive (34). Detailed information on the antibodies used to detect the protein markers is provided in Supplementary Tables 1.
Figure 1.

Immunostaining of MMP-1 expression in benign and malignant breast tumor. MMP-1 expression in breast tissues was visualized by immunohistochemical staining with a specific rabbit anti human polyclonal antibody. MMP-1 was predominantly detected in the cytoplasm of the normal and neoplastic cells. Examples of MMP-1 staining in (A-B) usual type hyperplasia; (C-D) atypical ductal hyperplasia; (E-H) ducatal carcinoma in situ (DCIS); and (I-L) invasive ductal carcinoma (IDC) Mgnification: X200 for all pictures.
Statistical Analysis
Statistical analyses were carried out using SAS 9.1 for Windows (SAS institute, Cary, NC). The association between MMP-1 expression/polymorphism and disease status was determined using Chi-square or Fisher’s exact test when the numbers of the cases were small. Jonckheere-Terpstra test for trend was used to assess the correlation between MMP-1 genotype and expression level. Jonckheere-Terpstra test is a nonparametric statistical test, which examines the ordered differences of MMP-1 expression level among polymorphism classes. Odds Ratios (ORs) and 95% Confidence Intervals (CIs) were calculated by logistic regression. In all cases, P < 0.05 was required for significance.
Results
MMP-1 Expression in subjects
MMP-1 was primarily detected in the cytoplasm of normal and neoplastic cells (Figure 1). In the ADH group, 91% (10 out of 11) of the patients expressed MMP-1 at high levels (2+/3+), while in the benign group, only 48% (12 out of 25) had high levels of expression of MMP-1. The expression of MMP-1 was significantly associated with the disease status (P = 0.016; Table 2). Compared to subjects expressing low levels (0/1+) of MMP-1, the odds for subjects expressing high levels (2+/3+) of MMP-1 to develop ADH increased 10.83 times (OR = 10.83; 95% CI, 1.2-97.8; Table 2). When the expression of MMP-1 in IBC was compared with in situ breast cancer (DCIS/LCIS), we found that 58% of the IBC patients had high MMP-1 expression, which was significantly higher than that of the DCIS/LCIS group (x2 = 4.79, Df =1, P = 0.03; Table 2). Patients expressing high levels of MMP-1 had a 2.20 fold increased risk of developing invasive breast cancer (OR = 2.20; 95% CI, 1.09-4.44; Table 2).
Table 2.
The expression of MMP-1 in subjects with breast diseases.
| MMP1 expression
|
OR | 95%CI | P | ||
|---|---|---|---|---|---|
| Low (0/1+) n (%) |
High (2+/3+) n (%) |
||||
| Benign (n=25) | 13 (52) | 12 (48) | 1 | ||
| ADH (n=11) | 1 (9) | 10 (91) | 10.83 | 1.20-97.80 | 0.016* |
|
| |||||
| In situ (n=64) | 39 (61) | 25 (39) | 1 | ||
| Invasive (n=65) | 27 (42) | 38 (58) | 2.2 | 1.09-4.44 | 0.014** |
The expression of MMP1 in ADH is significantly higher than in benign breast disease (p<0.05, Fisher’s exact test).
The expression of MMP1 in invasive breast cancer is significantly higher than in situ breast cancer (p<0.05, χ2 test)
ADH-atypical ductal hyperplasia
The distribution of MMP-1 1G/2G genotype in subjects
The distribution of 1G/2G genotypes in the 132 selected patients was according to the Hardy-Weinberg equilibrium [20]. There was no significant difference in the distribution of the MMP-1 1G/2G genotypes between benign and ADH groups or between IBC and DCIS/LCIS groups (P >0.05; Table 3). Allele frequencies between these groups were also not statistically significant (P > 0.05; Table 3).
Table 3.
MMP-1 genotype distribution and allele frequencies in patients with breast diseases
| Genotype | Benign (n=17) | ADH (n=13) | In situ (n=50) | Invasive (n=52) | ||||
|---|---|---|---|---|---|---|---|---|
| n | f | n | f | n | f | n | f | |
| 1G/1G | 3 | 0.18 | 5 | 0.39 | 10 | 0.20 | 19 | 0.36 |
| 1G/2G | 10 | 0.59 | 6 | 0.46 | 29 | 0.58 | 18 | 0.35 |
| 2G/2G | 4 | 0.24 | 2 | 0.15 | 11 | 0.22 | 15 | 0.29 |
|
| ||||||||
| P | 0.068* | 0.051** | ||||||
|
| ||||||||
| Allele | ||||||||
|
| ||||||||
| !G | 16 | 0.47 | 16 | 0.62 | 49 | 0.49 | 56 | 0.54 |
| 2G | 18 | 0.53 | 10 | 0.38 | 51 | 0.51 | 48 | 0.46 |
|
| ||||||||
| P | 0.197 * | 0.489 ** | ||||||
The difference in genotype distribution or allele frequencies between benign breast disease and ADH groups is not statistically significant (p>0.05, Fisher’s exact test).
The difference in genotype distribution or allele frequencies between in situ and invasive breast cancer groups is not statistically significant (p>0.05, χ2 test).
ADH-atypical ductal hyperplasia
Correlation of MMP-1 expression and MMP-1 genotypes
We observed a significant association between the expression of MMP-1 and MMP-1 genotypes in the IBC group (Table 4; P = 0.032). In this group, 57% of the patients expressing low MMP-1 had the 1G/1G homozygote genotype while 80% of those expressing high MMP-1 (3+) were either 1G/2G carriers (40%) or homozygous for 2G (40%). This data is displayed graphically in Figure 2(a). The 2G allele frequency for IBC patients expressing low MMP-1 was 0.29 (for 1+) and 0.44 (for 2+), while IBC patients expressing high MMP-1 (3+) had a 2G allele frequency of 0.6 (Figure 2(b)). Thus in the IBC patients, the expression of MMP-1 was positively correlated with the 2G allele. This association between the MMP-1 2G insertion polymorphism and MMP-1 expression was not observed in the DCIS/LCIS group (P=0.23; Table 4).
Table 4.
Correlation between MMP-1 expression and genotype in patients breast cancer
| Genotype | MMP-1 Expression
|
|||||
|---|---|---|---|---|---|---|
| Invasive (n=41)
|
In Situ (n=33)
|
|||||
| 1+(n=14) n (%) |
2+(n=17) n (%) |
3+(n=10) n (%) |
1+(n=12) n (%) |
2+(n=12) n (%) |
3+(n=9) n (%) |
|
| 1G/1G | 8 (57) | 6 (35) | 2 (20) | 2 (17) | 3 (25) | 0(0) |
| 1G/2G | 4 (29) | 7 (41) | 4 (40) | 7 (58) | 5 (42) | 6 (67) |
| 2G/2G | 2 (14) | 4 (24) | 4 (40) | 3 (25) | 4 (33) | 3 (33) |
|
| ||||||
| P | 0.032 | 0.230 | ||||
Jonckheere-Terpstra test
Figure 2.

(a). MMP-1 2G insertion polymorphism is correlated with MMP-1 expression in IBC.
Subjects with IBC were grouped according to the expression level of MMP-1(1+, 2+ and 3+). The percentage of homozygotes (1G/1G and 2G/2G) and heterozygotes (1G/2G) were then plotted against MMP-1 expression level based on the Immunohistochemical score of 1+, 2+ and 3+. As MMP-1 expression increased, the percentage of 1G/1G homozygotes decreased, while the percentage of 2G carriers (1G/2G heterozygotes) and homozygotes (2G/2G) increased. Results show a relationship between 2G insertion and MMP-1 expression in IBC patients.
(b). The MMP-1 2G allele frequency correlates with MMP-1 expression level.
Allele frequency of subjects in the IBC group were plotted against the expression level of MMP-1(1+, 2+ and 3+) as obtained from immunohistochemistry readings. The 2G allele frequency increased with increasing expression of MMP-1.
Correlation of MMP-1 expression with clinicopathological parameters
Correlation of MMP-1 expression with clinicopathological parameters in patients with breast cancer is summarized in Table 5. We did not observe significant correlation of MMP-1 expression with age, ethnicity, menopausal status, tumor stage, tumor size, lymph node metastasis or ER, PR, and P53 status. However, we observed significant correlation of MMP-1 expression with HER2 status (P = 0.004). In the HER2- group, 71% (27 out of 38) patients had high MMP-1 expression, while in HER2+ group, only 35% (9 out of 26) of the patients expressed high levels of MMP-1 (Table 5). We also found marginal correlation of MMP-1 expression with tumor histological grade (P = 0.0496) (Table 5).
Table 5.
Correlation of MMP-1 expression with clinicopathological parameters in patients with breast cancer.
| Parameters | MMP-1 Expression
|
Total n | P | |
|---|---|---|---|---|
| Low(0/1+) n (%) |
High(2+/3+) n (%) |
|||
| Age (years) | ||||
| ≤59 | 36(65) | 19(35) | 55 | 0.0545 |
| >59 | 26(47) | 29(53) | 55 | |
| Ethnicity | ||||
| African American | 14(58) | 10(42) | 24 | 0.7142 |
| White | 40(54) | 34(46) | 74 | |
| Menopausal | ||||
| Pre-menopausal | 19(59) | 13(41) | 32 | 0.6437 |
| Post-menopausal | 42(55) | 35(45) | 77 | |
| Stage | ||||
| 0 | 40(65) | 22(35) | 61 | 0.057 |
| I | 8(38) | 13(62) | 21 | |
| II | 9(39) | 14(61) | 23 | |
| III/IV | 9(64) | 5(36) | 14 | |
| Histological Grade | ||||
| G1 | 7(54) | 6(46) | 13 | 0.0496 |
| G2 | 8(25) | 24(75) | 32 | |
| G3 | 13(54) | 11(46) | 24 | |
| Tumor Size | ||||
| ≤2 cm | 10(37) | 17(63) | 27 | 0.3177 |
| >2cm | 16(50) | 16(50) | 32 | |
| Lymph Node status | ||||
| Negative | 49(54) | 41(46) | 90 | 0.9355 |
| Positive | 15(54) | 13(46) | 28 | |
| ER Status | ||||
| Negative | 8(40) | 12(60) | 20 | 0.1959 |
| Positive | 46(56) | 36(44) | 82 | |
| PR status | ||||
| Negative | 23(52) | 21(48) | 44 | 0.8328 |
| Positive | 31(54) | 26(46) | 57 | |
| HER2/neu Protein | ||||
| Negative | 11(29) | 27(71) | 38 | 0.0039 |
| Positive | 17(65) | 9(35) | 26 | |
| P53 Status | ||||
| Negative | 9(39) | 14(61) | 23 | 0.7435 |
| Positive | 9(35) | 17(65) | 26 | |
Correlation of MMP-1 genotype with clinicopathological parameters
We analyzed the data to determine if the MMP-1 2G insertion polymorphism had any association with other clinicopathological parameters in patients with breast cancer. No significant correlation between genotype distribution of MMP-1 with age, ethnicity, menopausal status, lymph node metastasis, tumor stage, histograde, tumor size and ER/PR status was observed (P>0.05; Table 6). However, we observed a significant difference in the genotype distribution of the MMP-1 between the HER2+ and HER2- group in IBC patients (Table 6). Notably, the percentage of 1G/1G homozygote was similar in the two groups, but the percentage of 1G/2G heterozygotes was significantly deceased and the percentage of the 2G/2G homozygotes was significantly increased in HER2+ group compared to the HER2- group (P = 0.0401; Table 6). Patients carrying the 2G/2G genotype had a 7.5-fold (95%CI, 1.48-37.9; P = 0.032; Table 6) increased odds of expressing HER2 compared to the 1G/2G carriers. However, the odds for 1G/1G carriers expressing HER2 was only increased 2.78 fold, which was not statistically significant (P = 0.29).
Table 6.
Correlation of MMP-1 genotype and clinicopathological characteristics in patients with breast cancer
| Parameters | Genotype
|
Total n | P | ||
|---|---|---|---|---|---|
| 1G/1G n (%) |
1G/2G n (%) |
2G/2G n (%) |
|||
| Age (years) | |||||
| ≤55 | 13(33) | 18(45) | 10(25) | 40 | 0.8624 |
| >55 | 15(36) | 16(38) | 11(26) | 42 | |
| Ethinity | |||||
| African American | 7(37) | 9(47) | 3(16) | 19 | 0.6340 |
| White | 20(33) | 24(39) | 17(28) | 61 | |
| Menopausal | |||||
| Pre-menopausal | 9(32) | 13(46) | 6(21) | 28 | 0.7592 |
| Post-menopausal | 18(33) | 21(39) | 15(28) | 54 | |
| Stage | |||||
| 0 | 10(23) | 25(57) | 9(20) | 44 | 0.2323 |
| I | 7(39) | 6(33) | 5(28) | 18 | |
| II | 6(38) | 7(44) | 3(19) | 16 | |
| III/IV | 4(36) | 2(18) | 5(45) | 11 | |
| Histological Grade | |||||
| G1 | 6(60) | 3(30) | 1(10) | 10 | 0.5673 |
| G2 | 6(29) | 8(38) | 7(33) | 21 | |
| G3 | 8(38) | 7(33) | 6(29) | 21 | |
| Tumor Size | |||||
| <2 cm | 8(36) | 8(36) | 6(27) | 22 | 0.9759 |
| >2cm | 9(38) | 8(33) | 7(29) | 24 | |
| Lymph Node status | |||||
| Negative | 20(29) | 35(51) | 13(19) | 68 | 0.0982 |
| Postive | 8(40) | 5(25) | 7(35) | 20 | |
| ER Status | |||||
| Negative | 7(47) | 3(20) | 5(33) | 15 | 0.1050 |
| Postive | 19(31) | 30(49) | 12(20) | 61 | |
| PR status | |||||
| Negative | 12(38) | 11(34) | 9(28) | 32 | 0.1217 |
| Postive | 14(32) | 22(50) | 8(18) | 44 | |
| HER2/neu Protein | |||||
| Negative | 10(38) | 12(46) | 4(15) | 26 | 0.0401 |
| Postive | 9(39) | 4(17) | 10(43) | 23 | |
| P53 Status | |||||
| Negative | 5(24) | 13(62) | 3(14) | 21 | 0.0399 |
| Postive | 10(45) | 5(23) | 7(32) | 22 | |
We also observed significant association between MMP-1 genotype distribution and the expression of P53 in IBC patients (P =0.0399; Table 6). Compared with 1G/2G carriers, the odds for the 2G/2G carriers to express P53 increased 5.88 fold (95%CI, 5.26-33.3; P = 0.049), while the odds for the 1G/1G carriers to express P53 increased 5.26 fold (95%CI, 1.18-25; P = 0.038).
Discussion
Expression of MMP-1 on breast diseases development
We determined the expression of MMP-1 in patients with benign breast disease, ADH (a precancerous condition which posses an increased risk of breast cancer development), DCIS/LCIS (in situ) and IBC. We observed significantly increased expression of MMP-1 in ADH patients compared to benign breast disease (P = 0.016) and a dramatic increase in the expression of MMP-1 in IBC compared to DCIS/LCIS (P = 0.014). Interestingly, we also found that the expression of MMP-1 in the in situ foci of IBC tumors are significantly higher than that of pure DCIS specimens (P = 0.035, data not shown), but not significantly different from that of the invasive foci of IBC specimens (P = 0.595, data not shown). These observations indicate an association of MMP-1 expression with breast disease status/severity and are consistent with earlier studies that support (i) the role of MMP-1 as a candidate precancerous marker for early detection of breast cancer (18) and (ii) the notion that over-expression of MMP-1 is important for the invasion and progression of breast cancer (19-21).
MMP-1 has been reported as a useful marker for the identification of ADH patients without a history of cancer who would likely develop breast cancer in the future (17). Our limited data on follow up history of these ADH patients prevents us from further discussion on the role of MMP-1 in identifying the ADH patients with potential to develop breast cancer.
The role of MMP-1 2G polymorphism on MMP-1 expression and breast cancer severity
The reported MMP-1 genotype frequency in healthy Caucasian women are 0.28, 0.54 and 0.18 for 1G/1G, 1G/2G and 2G/2G respectively (35), and this is not significantly different from the genotype frequency we observed in IBC, DCIS/LCIS, ADH or benign breast disease group (P > 0.05 respectively). The distribution of the MMP-1 genotype in our studied groups was also not significantly different (P > 0.05), suggesting that MMP-1 polymorphism may not contribute to the development of breast cancer. This is consistent with the result from a recent meta-analysis study which failed to show any significant association between MMP-1 2G polymorphism and breast cancer susceptibility (36).
However, we observed an association between the 2G genotype and MMP-1 expression in the IBC patient group, (P = 0.032; Table 4) but not in the DCIS/LCIS group (P>0.05; Table 4). This correlation was also not observed in ADH or benign group. These observations indicates that MMP-1 2G polymorphism may contribute significantly to the increased expression of MMP-1 in invasive breast cancer but not in the in situ breast cancer or the less severe breast disease conditions, and may thus correlated with breast disease status or breast cancer severity. However, our limited sample size prevents us from making any strong conclusions. A larger sample size study is required to establish the full potential of MMP-1 polymorphism in breast cancer progression.
It is worth noting that while the 2G polymorphism may contribute to increased expression of MMP-1 in IBC, other factors may contribute more significantly to increased expression of MMP-1 in ADH group. It has been reported that MMP-1 expression can be increased by many stimuli including growth factors, inflammatory interleukins, heat and UV-light, which can stimulate mitogen-activated protein kinases (MAPK) and activate MMP-1 transcription (37-40).
Correlation of MMP-1 2G polymorphism with other clinical markers of breast cancer
Higher 2G allele frequencies have been reported in breast cancer patients with lymph node-metastasis compared with patients without metastasis, indicating the role of MMP-1 2G polymorphism as a potential prognostic marker for breast cancer (22, 23, 41). In our study, although we observed increased 2G/2G genotype frequency (35%) in the lymph node positive group compared with lymph node negative group (19%), the difference did not reach statistical significance (P = 0.098). The contradiction may be explained by the smaller sample size in our study or other factors such as ethnic differences of subjects in the different studies.
However, we did find a correlation between MMP-1 genotype with other breast cancer markers, such as HER2 and P53. There was a significant association between the MMP-1 2G polymorphism and HER2 expression in IBC patients (P = 0.0401; Table 6). Forty four percent (10 out of 23) of patients expressing HER2, had the homozygous 2G/2G genotype compared to 15% of the patients (4 out of 26) not expressing HER2 (Table 6). The distribution curve of the genotype shifted to a higher frequency of 2G homozygotes in HER2+ group. In breast cancer, the amplification of the Her2/neu oncogene is a well established marker which is associated with relapse and short survival (42, 43). HER2 over-expression has also been correlated with poor outcome (44-46). The association of the MMP-1 2G insertion polymorphism with this clinical biomarker again indicates the potential role of this polymorphism in breast cancer severity.
Studies have shown that both MMP-1 2G polymorphism and HER2 over-expression can up-regulate MMP-1 expression via different molecular mechanisms (20, 21, 47). The 2G single nucleotide polymorphism of MMP-1 affects the basal transcription of MMP-1 through regulating ETS-1 and AP-1(20), while HER2 can further increase MMP-1 expression through activating ER81, another member of ETS family (47). In the current study we did not observe a positive correlation between HER2 and MMP-1 expression in the patients with breast cancer. On the contrary, the MMP-1 expression was higher in HER2 negative group compared with HER2 positive group (Table 5). This could be due to unknown mechanisms, for example, a negative feedback effect from increased MMP-1 expression on HER2 transcription or a result of the overall effect of different regulators on MMP-1 expression. We did, however, observe a correlation between the 2G insertion polymorphism and MMP-1 expression in the IBC patients only (P = 0.032) and not in the in situ group, which supports the notion that MMP-1 2G polymorphism is associated with disease severity in breast cancer.
Over expression of P53 is also associated with breast cancer progression. Both P53 mutation and accumulation have been associated with poor prognosis (48-51). Thor et al found significant correlation of P53 accumulation with short metastasis-free and overall survival in both sporadic and familial breast cancers (51). Wild type P53 can down regulate MMP-1 expression by disrupting the communication between AP-1 and basal transcriptional complex in human foreskin fibroblast cells (52, 53). However, it has been reported that the repression effect of P53 on MMP-1 expression is lost in osteogenic sarcoma cells over expressing mutant P53 (52). More detailed study of the effect of accumulated or mutation of P53 on MMP-1 expression in breast cancer will be required to gain a better understanding of the interrelationship between P53 and MMP-1. So far, we did not observe an association between MMP-1 and P53 expression in our study (Table 4), but we observed a significant difference in the distribution of MMP-1 genotypes between P53+ and P53- patients (P = 0.0399; Table 6). There was a significant decrease in the number of heterozygotes (1G/2G) and increased number of homozygotes (1G/1G and 2G/2G) in the P53+ patients compared to the P53- patients (P = 0.010). The overall effect of this difference on MMP-1 expression in P53+ /- patients may need further investigation. Although the observed pattern of MMP-1 genotype distribution in P53 expressing tumors varied from that observed in the HER2 expressing tumors, these observations both point to some level/degree of connectivity between the MMP-1 polymorphism and breast markers associated with disease severity.
In this study, we provide evidence that over- expression of MMP-1 is associated with both increased risk and local invasion in breast cancer. While the MMP-1 2G insertion polymorphism may not contribute to either event, other regulators must be involved in up-regulating MMP-1 levels in the different steps leading to breast cancer onset and invasion. However, the MMP-1 2G polymorphism is associated with breast cancer severity which is supported by its correlation with MMP-1 expression and the expression status of HER2 and P53 in IBC patients. Over-expression of MMP-1 induced by this polymorphism together with other regulators may predict an adverse outcome of breast cancer. More comprehensive studies are required to fully understand the mechanism of the interaction of this polymorphism with other molecular markers, and to explore the impact of this polymorphism alone or with other clinical markers on disease free or overall survival in breast cancer. Such studies will elucidate the impact of MMP-1 2G polymorphism on breast cancer development and progression.
Conclusion
To study the impact of MMP-1 1G/2G polymorphism on breast cancer development, we genotyped 132 patients with benign breast disease, ADH, DCIS/LCIS and IBC and analyzed our results with expression data of the following breast cancer markers, MMP-1, ER, PR, HER2 and P53. We found that over-expression of MMP-1 is associated with breast cancer onset and invasion. We report here, for the first time, that MMP-1 2G insertion polymorphism is significantly associated with HER2 and P53 expression. HER2 over-expression, P53 accumulation, or the coexistence of these two, are known molecular markers in breast cancer progression (42, 44, 46, 51, 54). The association of MMP-1 2G insertion polymorphism with these two biomarkers in invasive breast cancer indicates a role of MMP-1 2G polymorphism in predicting breast cancer severity and may provide new molecular tools for sub classification of invasive breast cancer.
Supplementary Material
Acknowledgments
This research was supported by a grant from the United States Department of Defense (Military Molecular Medicine Initiative MDA W81XWHH-05-2-0075, Protocol 01-20006), and by NIH-AR-26599 and NIH-CA-77267 to CB. The opinion and assertions contained herein are the private views of the authors and are not to be construed as official or as representing the views of the Department of the Army or the Department of Defense.
Footnotes
Declaration of Interests
The authors report no declarations of interest.
References
- 1.Menon B, Singh M, Singh K. Matrix metalloproteinases mediate beta-adrenergic receptor-stimulated apoptosis in adult rat ventricular myocytes. Am J Physiol Cell Physiol. 2005;289:C168–176. doi: 10.1152/ajpcell.00606.2004. [DOI] [PubMed] [Google Scholar]
- 2.McCawley LJ, Wright J, LaFleur BJ, Crawford HC, Matrisian LM. Keratinocyte expression of MMP3 enhances differentiation and prevents tumor establishment. Am J Pathol. 2008;173:1528–1539. doi: 10.2353/ajpath.2008.080132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wang W, Pan H, Murray K, Jefferson BS, Li Y. Matrix metalloproteinase-1 promotes muscle cell migration and differentiation. Am J Pathol. 2009;174:541–549. doi: 10.2353/ajpath.2009.080509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zeng ZZ, Yao H, Staszewski ED, Rockwood KF, Markwart SM, Fay KS, Spalding AC, Livant DL. alpha(5)beta(1) Integrin Ligand PHSRN Induces Invasion and alpha(5) mRNA in Endothelial Cells to Stimulate Angiogenesis. Transl Oncol. 2009;2:8–20. doi: 10.1593/tlo.08187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Shan B, Morris CA, Zhuo Y, Shelby BD, Levy DR, Lasky JA. Activation of proMMP-2 and Src by HHV8 vGPCR in human pulmonary arterial endothelial cells. J Mol Cell Cardiol. 2007;42:517–525. doi: 10.1016/j.yjmcc.2006.08.004. [DOI] [PubMed] [Google Scholar]
- 6.Gonzalez Rodriguez I, Rivas del Fresno M, Gil Ugarteburu R, Gonzalez Arriaga P, Lopez Cima F, Fernandez Samoano A, Muruamendiaraz Fernandez V, Fernandez Garcia I, Perez-Carral JR, Tardon A. Expression of matrix metalloproteinase-9 in prostate cancer. Preliminary experience. Arch Esp Urol. 2010;63:119–124. [PubMed] [Google Scholar]
- 7.Szarvas T, Becker M, vom Dorp F, Gethmann C, Totsch M, Bankfalvi A, Schmid KW, Romics I, Rubben H, Ergun S. Matrix metalloproteinase-7 as a marker of metastasis and predictor of poor survival in bladder cancer. Cancer Sci. 2010;101:1300–1308. doi: 10.1111/j.1349-7006.2010.01506.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Yi YC, Chou PT, Chen LY, Kuo WH, Ho ES, Han CP, Yang SF. Matrix metalloproteinase-7 (MMP-7) polymorphism is a risk factor for endometrial cancer susceptibility. Clin Chem Lab Med. 2010;48:337–344. doi: 10.1515/CCLM.2010.082. [DOI] [PubMed] [Google Scholar]
- 9.Kim YW, Ko YT, Kim NK, Chung HC, Min BS, Lee KY, Park JP, Kim H. A comparative study of protein expression in primary colorectal cancer and synchronous hepatic metastases: the significance of matrix metalloproteinase-1 expression as a predictor of liver metastasis. Scand J Gastroenterol. 2010;45:217–225. doi: 10.3109/00365520903453158. [DOI] [PubMed] [Google Scholar]
- 10.Garg P, Sarma D, Jeppsson S, Patel NR, Gewirtz AT, Merlin D, Sitaraman SV. Matrix metalloproteinase-9 functions as a tumor suppressor in colitis-associated cancer. Cancer Res. 2010;70:792–801. doi: 10.1158/0008-5472.CAN-09-3166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Li M, Xiao T, Zhang Y, Feng L, Lin D, Liu Y, Mao Y, Guo S, Han N, Di X, Zhang K, Cheng S, Gao Y. Prognostic significance of matrix metalloproteinase-1 levels in peripheral plasma and tumour tissues of lung cancer patients. Lung Cancer. 2010;69:341–347. doi: 10.1016/j.lungcan.2009.12.007. [DOI] [PubMed] [Google Scholar]
- 12.Luukkaa H, Klemi P, Hirsimaki P, Vahlberg T, Kivisaari A, Kahari VM, Grenman R. Matrix metalloproteinase (MMP)-7 in salivary gland cancer. Acta Oncol. 2010;49:85–90. doi: 10.3109/02841860903287197. [DOI] [PubMed] [Google Scholar]
- 13.Luukkaa H, Klemi P, Leivo I, Makitie AA, Irish J, Gilbert R, Perez-Ordonez B, Hirsimaki P, Vahlberg T, Kivisaari A, Kahari VM, Grenman R. Expression of matrix metalloproteinase-1, -7, -9, -13, Ki-67, and HER-2 in epithelial-myoepithelial salivary gland cancer. Head Neck. 2010;32:1019–1027. doi: 10.1002/hed.21277. [DOI] [PubMed] [Google Scholar]
- 14.Yeh YC, Sheu BS, Cheng HC, Wang YL, Yang HB, Wu JJ. Elevated serum matrix metalloproteinase-3 and -7 in H. pylori-related gastric cancer can be biomarkers correlating with a poor survival. Dig Dis Sci. 2010;55:1649–1657. doi: 10.1007/s10620-009-0926-x. [DOI] [PubMed] [Google Scholar]
- 15.Scherf DB, Dally H, Muller P, Werle-Schneider G, Jager B, Edler L, Tuengerthal S, Fischer JR, Drings P, Bartsch H, Risch A. Single nucleotide polymorphisms in matrix metalloproteinase genes and lung cancer chemotherapy response and prognosis. Eur Respir J. 2010;35:381–390. doi: 10.1183/09031936.00125608. [DOI] [PubMed] [Google Scholar]
- 16.Zohny SF, Fayed ST. Clinical utility of circulating matrix metalloproteinase-7 (MMP-7), CC chemokine ligand 18 (CCL18) and CC chemokine ligand 11 (CCL11) as markers for diagnosis of epithelial ovarian cancer. Med Oncol. 2009 doi: 10.1007/s12032-009-9366-x. [DOI] [PubMed] [Google Scholar]
- 17.Brinckerhoff CE, Matrisian LM. Matrix metalloproteinases: a tail of a frog that became a prince. Nat Rev Mol Cell Biol. 2002;3:207–214. doi: 10.1038/nrm763. [DOI] [PubMed] [Google Scholar]
- 18.Poola I, DeWitty RL, Marshalleck JJ, Bhatnagar R, Abraham J, Leffall LD. Identification of MMP-1 as a putative breast cancer predictive marker by global gene expression analysis. Nat Med. 2005;11:481–483. doi: 10.1038/nm1243. [DOI] [PubMed] [Google Scholar]
- 19.Cheng S, Tada M, Hida Y, Asano T, Kuramae T, Takemoto N, Hamada J, Miyamoto M, Hirano S, Kondo S, Moriuchi T. High MMP-1 mRNA expression is a risk factor for disease-free and overall survivals in patients with invasive breast carcinoma. J Surg Res. 2008;146:104–109. doi: 10.1016/j.jss.2007.05.032. [DOI] [PubMed] [Google Scholar]
- 20.Tower GB, Coon CI, Brinckerhoff CE. The 2G single nucleotide polymorphism (SNP) in the MMP-1 promoter contributes to high levels of MMP-1 transcription in MCF-7/ADR breast cancer cells. Breast Cancer Res Treat. 2003;82:75–82. doi: 10.1023/B:BREA.0000003948.14026.7c. [DOI] [PubMed] [Google Scholar]
- 21.Rutter JL, Mitchell TI, Buttice G, Meyers J, Gusella JF, Ozelius LJ, Brinckerhoff CE. A single nucleotide polymorphism in the matrix metalloproteinase-1 promoter creates an Ets binding site and augments transcription. Cancer Res. 1998;58:5321–5325. [PubMed] [Google Scholar]
- 22.Przybylowska K, Zielinska J, Zadrozny M, Krawczyk T, Kulig A, Wozniak P, Rykala J, Kolacinska A, Morawiec Z, Drzewoski J, Blasiak J. An association between the matrix metalloproteinase 1 promoter gene polymorphism and lymphnode metastasis in breast cancer. J Exp Clin Cancer Res. 2004;23:121–125. [PubMed] [Google Scholar]
- 23.Hughes S, Agbaje O, Bowen RL, Holliday DL, Shaw JA, Duffy S, Jones JL. Matrix metalloproteinase single-nucleotide polymorphisms and haplotypes predict breast cancer progression. Clin Cancer Res. 2007;13:6673–6680. doi: 10.1158/1078-0432.CCR-07-0884. [DOI] [PubMed] [Google Scholar]
- 24.McColgan P, Sharma P. Polymorphisms of matrix metalloproteinases 1, 2, 3 and 9 and susceptibility to lung, breast and colorectal cancer in over 30,000 subjects. Int J Cancer. 2009;125:1473–1478. doi: 10.1002/ijc.24441. [DOI] [PubMed] [Google Scholar]
- 25.Kondo S, Wakisaka N, Schell MJ, Horikawa T, Sheen TS, Sato H, Furukawa M, Pagano JS, Yoshizaki T. Epstein-Barr virus latent membrane protein 1 induces the matrix metalloproteinase-1 promoter via an Ets binding site formed by a single nucleotide polymorphism: enhanced susceptibility to nasopharyngeal carcinoma. Int J Cancer. 2005;115:368–376. doi: 10.1002/ijc.20849. [DOI] [PubMed] [Google Scholar]
- 26.Ghilardi G, Biondi ML, Mangoni J, Leviti S, DeMonti M, Guagnellini E, Scorza R. Matrix metalloproteinase-1 promoter polymorphism 1G/2G is correlated with colorectal cancer invasiveness. Clin Cancer Res. 2001;7:2344–2346. [PubMed] [Google Scholar]
- 27.Vairaktaris E, Yapijakis C, Derka S, Serefoglou Z, Vassiliou S, Nkenke E, Ragos V, Vylliotis A, Spyridonidou S, Tsigris C, Yannopoulos A, Tesseromatis C, Neukam FW, Patsouris E. Association of matrix metalloproteinase-1 (-1607 1G/2G) polymorphism with increased risk for oral squamous cell carcinoma. Anticancer Res. 2007;27:459–464. [PubMed] [Google Scholar]
- 28.P Oc, Leksrisakul P, Sangruchi S. A functional polymorphism in the matrix metalloproteinase-1 gene promoter is associated with susceptibility and aggressiveness of head and neck cancer. Int J Cancer. 2006;118:2548–2553. doi: 10.1002/ijc.21644. [DOI] [PubMed] [Google Scholar]
- 29.Hashimoto T, Uchida K, Okayama N, Imate Y, Suehiro Y, Hamanaka Y, Ueyama Y, Shinozaki F, Yamashita H, Hinoda Y. Association of matrix metalloproteinase (MMP)-1 promoter polymorphism with head and neck squamous cell carcinoma. Cancer Lett. 2004;211:19–24. doi: 10.1016/j.canlet.2004.01.032. [DOI] [PubMed] [Google Scholar]
- 30.Nishioka Y, Kobayashi K, Sagae S, Ishioka S, Nishikawa A, Matsushima M, Kanamori Y, Minaguchi T, Nakamura Y, Tokino T, Kudo R. A single nucleotide polymorphism in the matrix metalloproteinase-1 promoter in endometrial carcinomas. Jpn J Cancer Res. 2000;91:612–615. doi: 10.1111/j.1349-7006.2000.tb00989.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Six L, Grimm C, Leodolter S, Tempfer C, Zeillinger R, Sliutz G, Speiser P, Reinthaller A, Hefler LA. A polymorphism in the matrix metalloproteinase-1 gene promoter is associated with the prognosis of patients with ovarian cancer. Gynecol Oncol. 2006;100:506–510. doi: 10.1016/j.ygyno.2005.08.049. [DOI] [PubMed] [Google Scholar]
- 32.Birkedal-Hansen B, Moore WG, Taylor RE, Bhown AS, Birkedal-Hansen H. Monoclonal antibodies to human fibroblast procollagenase. Inhibition of enzymatic activity, affinity purification of the enzyme, and evidence for clustering of epitopes in the NH2-terminal end of the activated enzyme. Biochemistry. 1988;27:6751–6758. doi: 10.1021/bi00418a016. [DOI] [PubMed] [Google Scholar]
- 33.Windsor LJ, Birkedal-Hansen H, Birkedal-Hansen B, Engler JA. An internal cysteine plays a role in the maintenance of the latency of human fibroblast collagenase. Biochemistry. 1991;30:641–647. doi: 10.1021/bi00217a008. [DOI] [PubMed] [Google Scholar]
- 34.Wolff AC, Hammond ME, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, Dowsett M, Fitzgibbons PL, Hanna WM, Langer A, McShane LM, Paik S, Pegram MD, Perez EA, Press MF, Rhodes A, Sturgeon C, Taube SE, Tubbs R, Vance GH, van de Vijver M, Wheeler TM, Hayes DF. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. Arch Pathol Lab Med. 2007;131:18–43. doi: 10.5858/2007-131-18-ASOCCO. [DOI] [PubMed] [Google Scholar]
- 35.Walch K, Nagele F, Zeillinger R, Vytiska-Binstorfer E, Huber JC, Hefler LA. A polymorphism in the matrix metalloproteinase-1 gene promoter is associated with the presence of polycystic ovary syndrome in Caucasian women. Fertil Steril. 2005;83:1565–1567. doi: 10.1016/j.fertnstert.2004.11.043. [DOI] [PubMed] [Google Scholar]
- 36.Zhou P, Du LF, Lv GQ, Yu XM, Gu YL, Li JP, Zhang C. Current evidence on the relationship between four polymorphisms in the matrix metalloproteinases (MMP) gene and breast cancer risk: a meta-analysis. Breast Cancer Res Treat. 2011;127:813–818. doi: 10.1007/s10549-010-1294-0. [DOI] [PubMed] [Google Scholar]
- 37.Johansson N, Ala-aho R, Uitto V, Grenman R, Fusenig NE, Lopez-Otin C, Kahari VM. Expression of collagenase-3 (MMP-13) and collagenase-1 (MMP-1) by transformed keratinocytes is dependent on the activity of p38 mitogen-activated protein kinase. J Cell Sci. 2000;113(Pt 2):227–235. doi: 10.1242/jcs.113.2.227. [DOI] [PubMed] [Google Scholar]
- 38.Reunanen N, Westermarck J, Hakkinen L, Holmstrom TH, Elo I, Eriksson JE, Kahari VM. Enhancement of fibroblast collagenase (matrix metalloproteinase-1) gene expression by ceramide is mediated by extracellular signal-regulated and stress-activated protein kinase pathways. J Biol Chem. 1998;273:5137–5145. doi: 10.1074/jbc.273.9.5137. [DOI] [PubMed] [Google Scholar]
- 39.Park CH, Lee MJ, Ahn J, Kim S, Kim HH, Kim KH, Eun HC, Chung JH. Heat shock-induced matrix metalloproteinase (MMP)-1 and MMP-3 are mediated through ERK and JNK activation and via an autocrine interleukin-6 loop. J Invest Dermatol. 2004;123:1012–1019. doi: 10.1111/j.0022-202X.2004.23487.x. [DOI] [PubMed] [Google Scholar]
- 40.Di Girolamo N, Coroneo MT, Wakefield D. UVB-elicited induction of MMP-1 expression in human ocular surface epithelial cells is mediated through the ERK1/2 MAPK-dependent pathway. Invest Ophthalmol Vis Sci. 2003;44:4705–4714. doi: 10.1167/iovs.03-0356. [DOI] [PubMed] [Google Scholar]
- 41.Przybylowska K, Kluczna A, Zadrozny M, Krawczyk T, Kulig A, Rykala J, Kolacinska A, Morawiec Z, Drzewoski J, Blasiak J. Polymorphisms of the promoter regions of matrix metalloproteinases genes MMP-1 and MMP-9 in breast cancer. Breast Cancer Res Treat. 2006;95:65–72. doi: 10.1007/s10549-005-9042-6. [DOI] [PubMed] [Google Scholar]
- 42.Slamon DJ, Clark GM, Wong SG, Levin WJ, Ullrich A, McGuire WL. Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science. 1987;235:177–182. doi: 10.1126/science.3798106. [DOI] [PubMed] [Google Scholar]
- 43.Ross JS, Fletcher JA, Linette GP, Stec J, Clark E, Ayers M, Symmans WF, Pusztai L, Bloom KJ. The Her-2/neu gene and protein in breast cancer 2003: biomarker and target of therapy. Oncologist. 2003;8:307–325. doi: 10.1634/theoncologist.8-4-307. [DOI] [PubMed] [Google Scholar]
- 44.Mitchell MS, Press MF. The role of immunohistochemistry and fluorescence in situ hybridization for HER2/neu in assessing the prognosis of breast cancer. Semin Oncol. 1999;26:108–116. [PubMed] [Google Scholar]
- 45.Chen XS, Ma CD, Wu JY, Yang WT, Lu HF, Wu J, Lu JS, Shao ZM, Shen ZZ, Shen KW. Molecular subtype approximated by quantitative estrogen receptor, progesterone receptor and Her2 can predict the prognosis of breast cancer. Tumori. 2010;96:103–110. doi: 10.1177/030089161009600117. [DOI] [PubMed] [Google Scholar]
- 46.Choi YH, Ahn JH, Kim SB, Jung KH, Gong GY, Kim MJ, Son BH, Ahn SH, Kim WK. Tissue microarray-based study of patients with lymph node-negative breast cancer shows that HER2/neu overexpression is an important predictive marker of poor prognosis. Ann Oncol. 2009;20:1337–1343. doi: 10.1093/annonc/mdp003. [DOI] [PubMed] [Google Scholar]
- 47.Bosc DG, Goueli BS, Janknecht R. HER2/Neu-mediated activation of the ETS transcription factor ER81 and its target gene MMP-1. Oncogene. 2001;20:6215–6224. doi: 10.1038/sj.onc.1204820. [DOI] [PubMed] [Google Scholar]
- 48.Yang CH, Cristofanilli M. The role of p53 mutations as a prognostic factor and therapeutic target in inflammatory breast cancer. Future Oncol. 2006;2:247–255. doi: 10.2217/14796694.2.2.247. [DOI] [PubMed] [Google Scholar]
- 49.Colozza M, Cardoso F, Sotiriou C, Larsimont D, Piccart MJ. Bringing molecular prognosis and prediction to the clinic. Clin Breast Cancer. 2005;6:61–76. doi: 10.3816/CBC.2005.n.010. [DOI] [PubMed] [Google Scholar]
- 50.Coradini D, Daidone MG. Biomolecular prognostic factors in breast cancer. Curr Opin Obstet Gynecol. 2004;16:49–55. doi: 10.1097/00001703-200402000-00010. [DOI] [PubMed] [Google Scholar]
- 51.Thor AD, Moore DH, II, Edgerton SM, Kawasaki ES, Reihsaus E, Lynch HT, Marcus JN, Schwartz L, Chen LC, Mayall BH, et al. Accumulation of p53 tumor suppressor gene protein: an independent marker of prognosis in breast cancers. J Natl Cancer Inst. 1992;84:845–855. doi: 10.1093/jnci/84.11.845. [DOI] [PubMed] [Google Scholar]
- 52.Sun Y, Wenger L, Rutter JL, Brinckerhoff CE, Cheung HS. p53 down-regulates human matrix metalloproteinase-1 (Collagenase-1) gene expression. J Biol Chem. 1999;274:11535–11540. doi: 10.1074/jbc.274.17.11535. [DOI] [PubMed] [Google Scholar]
- 53.Sun Y, Zeng XR, Wenger L, Firestein GS, Cheung HS. P53 down-regulates matrix metalloproteinase-1 by targeting the communications between AP-1 and the basal transcription complex. J Cell Biochem. 2004;92:258–269. doi: 10.1002/jcb.20044. [DOI] [PubMed] [Google Scholar]
- 54.Yamashita H, Nishio M, Toyama T, Sugiura H, Zhang Z, Kobayashi S, Iwase H. Coexistence of HER2 over-expression and p53 protein accumulation is a strong prognostic molecular marker in breast cancer. Breast Cancer Res. 2004;6:R24–30. doi: 10.1186/bcr738. [DOI] [PMC free article] [PubMed] [Google Scholar]
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