Purpose: The matrix metalloproteinases (MMPs) are a family of proteolytic enzymes involved in tumor invasion; several individual members of which have been implicated in tumor prognosis. These enzymes and their physiologic inhibitors, the tissue inhibitors of matrix metalloproteinases (TIMPs), act in a coordinated manner to form an integrated system. Therefore, to understand their role in tumor invasion, it is necessary to evaluate them collectively.

Experimental Design: In this study all of the major members of the matrix metalloproteinase (MMP-1, MMP-2, MMP-3,MMP-7, MMP-9, MMP-13, MT1-MMP and MT2-MMP)/tissue inhibitor of matrix metalloproteinase (TIMP-1, TIMP-2, and TIMP-3) system have been investigated by immunohistochemistry in a series (n = 90) of stage III (Dukes’ C) colorectal cancers. An immunohistochemical score based on the intensity of immunoreactivity and proportion of immunoreactive cells was established for each MMP and TIMP.

Results: The MMP/TIMP profile defined by hierarchical cluster analysis of the immunohistochemical score identifies a distinct group of colorectal cancers with poor prognosis (log-rank test, 12.22, P = 0.0005). The median survival time of patients in this survival group was 18 months compared with a median survival of 49 months in the “good” survival group. Multivariate analysis showed that this profile was independently the most significant prognostic factor (P = 0.001).

Conclusions: This study has identified that the MMP/TIMP profile is an independent indicator of poor prognosis in colorectal cancer.

The matrix metalloproteinases (MMPs) are a key family of proteolytic enzymes involved in extracellular matrix degradation (1, 2, 3, 4). These enzymes collectively can degrade all components of the extracellular matrix and are broadly classified into groups including collagenases, gelatinases, stromelysins, and membrane-type MMPs (1, 3, 4). Tissue inhibitors of metalloproteinases (TIMPs) are the main physiologic inhibitors of the MMPs (5, 6). The TIMPs are secreted proteins that complex with individual MMPs and regulate the activity of individual MMPs. Together, the MMPs and TIMPs form a complex biological system strictly controlling degradation of extracellular matrix. The MMPs and TIMPs have a significant role in facilitating tumor invasion and metastasis (1, 2, 3, 4, 5, 6), not only through their direct role in degrading extracellular matrix but also by interaction with other biological systems implicated in tumor invasion, including cell adhesion molecules, cytoskeletal proteins, and growth factors (7, 8).

Colorectal cancer is one of the commonest malignant tumors in the Western world with a 5-year survival rate of ∼45%. At present, the pathological stage of disease, based on the extent of both local tumor invasion and metastatic tumor spread is the most clinically useful prognostic indicator. However, tumors of the same stage can follow significantly different clinical courses, indicating the necessity for the identification of novel prognostic factors. A number of studies have investigated specific MMPs and TIMPs in colorectal cancer and several of these studies have proposed prognostic significance for individual MMPs [MMP-1 (9), MMP-7 (10),MMP-9 (11)], and TIMP-1 (12) and TIMP-2 (13) in this type of tumor. However, each of these studies has usually focused on a single MMP or TIMP, there have been no extensive studies of the expression of MMPs and TIMPs in colorectal cancer. These diverse findings of individual MMPs and TIMPs in different groups of colorectal cancer highlight the need to perform a comprehensive study of MMPs in a well-characterized series of colorectal cancers to understand the interaction between the individual MMPs/TIMPs and to further understand the biology of MMPs/TIMPs in colorectal cancer. In this study we have analyzed by immunohistochemistry the expression of all of the major MMPs and TIMPs in a well-characterized group of colorectal cancers, and we demonstrate that the MMP/TIMP molecular profile identifies a group of patients with very poor outcome.

Tumor Samples.

Tumor samples were collected, with approval of the regional research ethics committee, from consecutive patients undergoing primary curative resection for colorectal cancer between 1994 and 1998 at Aberdeen Royal Infirmary. All of the tumors were fixed in neutral buffered formalin and representative blocks embedded in wax. Two expert gastrointestinal pathologists (S. C. and G. I. M.) reviewed the histopathology of each case by examination by light microscopy of hematoxylin and eosin-stained sections. All of the tumors(n = 90) in the study were Dukes’ stage C adenocarcinomas, UICC stage III (i.e., tumors with lymph node metastases), because these constitute a well-defined group of tumors. The clinicopathological characteristics of the patients and their tumors are summarized in Table 1. Follow-up ranged between 60 and 100 months, at which time 55 of the patients (61%) had died from colorectal cancer (median survival, 42 months; 95% confidence intervals, 27–57 months; mean survival, 53 months (95% confidence intervals, 45–61 months).

Antibodies.

Immunohistochemistry for eight MMPs (MMP-1, MMP-2, MMP-3, MMP-7, MMP-9,MMP-13, MT1-MMP, and MT2-MMP) and three TIMPs (TIMP-1, TIMP-2, and TIMP-3) was done on each of the tumors described above. The monoclonal antibodies to MMP-1, MMP-2, MMP-3, MMP-9, TIMP-1, and TIMP-2 have been developed in our laboratory (9, 14, 15). Briefly, each antibody was produced by using a synthetic peptide conjugated to carrier protein as the immunogen. Each peptide corresponded to a unique sequence (based on amino acid sequence alignment and protein homology modeling) for the individual MMP or TIMP (9, 14, 15), and each antibody recognizes the appropriate MMP (both latent and activated form) or TIMP (9, 14, 15). The criteria used for the selection of peptide immunogens, the peptide sequences used for immunization, the production of the monoclonal antibodies, the characterization and specificity of each antibody, and also the use of these antibodies in immunohistochemistry on formalin-fixed,wax-embedded tissue section have been described previously (9, 14, 15, 16, 17). Each of these antibodies was available as tissue culture supernatant. Antibodies to MMP-7, MMP-13, MT1-MMP, MT2-MMP, and TIMP-3 were obtained from Chemicon International Inc, Temecula,CA, and each antibody was supplied as a purified immunoglobulin fraction (information from data sheets supplied by Chemicon).

Immunohistochemistry.

Formalin-fixed, wax-embedded tumor sections (4 μm thick)were mounted on adhesive-coated capillary gap glass slides(DakoCytomation, Ely, United Kingdom), dewaxed in xylene and rehydrated in EtOH, and an antigen retrieval step was done. This was required for all of the antibodies except MMP-7 and MMP-13 and was achieved by microwaving the sections in 0.01 mol/L citrate buffer at pH 6.0 for 20 minutes in an 800W microwave oven. The sections were then allowed to cool to room temperature and were immunostained with a Dako TechMate500 autostainer (DakoCytomation) as described previously (18, 19). Details of antibody dilutions are noted in Table 2. Primary antibody appropriately diluted in antibody diluent buffer(DakoCytomation) was applied for 50 minutes at room temperature,followed by washing with buffer (DakoCytomation) and endogenous peroxidase blocking. Biotinylated goat antimouse/rabbit secondary antibody (1:1,000, DakoCytomation) was applied for 25 minutes at room temperature, followed by further washing with buffer to remove unbound antibody. A complex of avidin with horseradish peroxidase was then applied for 25 minutes at room temperature. After further washing with buffer, diaminobenzidine was applied to the sections for three successive 5-minute periods to demonstrate sites of peroxidase activity (18, 19). The sections were then washed in buffer and water, lightly counterstained with hematoxylin, dehydrated sequentially in EtOH and xylene, and mounted.

MMP and TIMP immunoreactivity was evaluated by examination of the sections with bright- field light microscopy. A scoring system was used to describe both intensity of staining (negative, weak, moderate, and strong) and proportion of tumor cells (0%, 1–5%, 6–75%, and 76–100%) staining in each case, as described previously (18). To enable analysis of the individual immunostaining results, integer values were assigned to the intensity scores (0–3)and the proportion of cells stained (0–3). These values were multiplied together to provide a single integrated score for each MMP or TIMP and the data reduced to an ordinal scale of 0–6 as described previously (18).

Statistical Analysis.

Statistical analysis, including hierarchical cluster analysis,χ 2 test, Kaplan–Meier survival analysis, and Cox Multivariate Regression analysis was done with SPSS version 11.5 (SPSS UK Ltd, Woking, UK) for Windows XP. Unsupervised two-dimensional hierarchical cluster analysis of the MMP and TIMP data were done using the between-groups linkage method with the χ2measure for ordinal data to identify individual groups of tumors with specific MMP/TIMP profiles. The log-rank test was used to determine survival differences between individual groups.

All of the MMPs and TIMPs showed immunoreactivity in a proportion of colon cancers (Fig. 1). The proportion of cells and the intensity of immunoreactivity for each MMP and TIMP was variable in each tumor and was assessed as described in the Materials and Methods to establish an immunohistochemical score for each MMP and TIMP. To identify specific groups of tumors with distinct MMP/TIMP immunohistochemical expression profiles the data were analyzed by unsupervised hierarchical cluster analysis.

The results of the unsupervised two-dimensional hierarchical cluster analysis of the MMP and TIMP data are shown in Fig. 2, which illustrates by a dendrogram the grouping of the tumors according to their MMP/TIMP profile. The dendrogram provides a visual representation of the hierarchical clustering process and identifies those cases that are most similar and that form groups that are distinct from other groups or clusters. The dendrogram shows a first-order division of the tumors into two distinct MMP/TIMP molecular profiles, designated group 1 (n = 72) and group 2(n = 18).

In group 1, there are 38 patients who are dead, and in group 2 there is only one patient alive with all 17 other patients dead. The median survival time of patients in group 2 was 18 months (95% confidence intervals, 10–26 months; mean, 30 months; 95% confidence intervals,17–43 months), compared with a median survival of 49 months (95%confidence intervals, 49–67 months; mean, 58 months; 95% confidence intervals, 49–67 months) for those in group 1. Kaplan-Meier analysis shows that the difference in survival between these two groups is highly statistically significant (log-rank test, 12.22; P = 0.0005; Table 3; Fig. 3). Importantly, there is no significant difference between the two groups in terms of the distribution of tumor site, degree of tumor differentiation, nodal status (i.e., Dukes’ stage C1 versus C2 or stage pN1 versus pN2), patient age,or gender.

The specific MMP/TIMP profile emerges as the single most significant independent factor (P = 0.001) in Cox multivariate analysis, which was done with the following variables for each case:tumor site, tumor differentiation, nodal status, patient gender, age,and “cluster group,” i.e., group 1 or group 2 (Table 4).

MMP-2 (χ2 = 32.34, P < 0.001),MMP-3 (χ2 = 4.89, P = 0.03),MMP-9 (χ2 = 27.4, P < 0.001),TIMP-2 (χ2 = 21.21, P <0.001), and TIMP-3 (χ2 = 40.5, P < 0.001) were identified as showing significantly altered expression in group 2 compared with group 1. In all cases,expression of these MMPs and TIMPs was reduced in tumors of group 2 compared with group 1 tumors. Survival analyses showed that TIMP-2(log-rank = 9.7, P = 0.01), MMP-2 (log-rank =5.2, P = 0.02), and MMP-3 (log-rank 3.87, P = 0.05) demonstrated significant differences in outcome between group 1 and group 2.

We have investigated the presence of all of the major MMPs and TIMPs simultaneously in a large series of well-characterized colorectal cancers of a single stage, all with long-term follow-up. Although the presence of several individual MMPs [MMP-1 (9), MMP-7 (10), MMP-9 (11), MMP-13 (18)],and TIMPs [TIMP-1 (12) and TIMP-2 (13)] in colorectal cancer have been suggested to be of prognostic significance;these studies have included cases of different stages and it is important to investigate tumor markers in well-defined groups of colorectal cancer of a single pathologic stage to establish their clinical significance (20). Furthermore, because it is the concerted action of the MMPs and TIMPs that determine their biological actions (1, 2, 3, 4, 5, 6), it is essential to study them in an integrated fashion.

We have used an innovative approach to analyze the large amount of immunohistochemical data generated in this study. Unsupervised hierarchical cluster analysis groups data together agglomeratively on the basis of shared characteristics (in this study MMP and TIMP immunohistochemical score) without an a priori hypothesis. When this approach to data analysis is used, two specific MMP/TIMP molecular phenotypes emerge, and testing the hypothesis that these two groups had distinct survival outcomes show that the individual groups have distinctly different prognosis (P = 0.0005). Importantly, these groups are similar with respect to patient age and gender, tumor site, histologic differentiation of the tumor. We have tested our results against the main clinicopathological prognostic factors (Dukes’ stage C1 versus C2, gender, age, tumor site, age, and tumor differentiation) confirming the highly significant independent prognostic significance of the groupings. This demonstrates that the MMP/TIMP profile is not simply a surrogate for any these known and established prognostic indicators and shows that the MMP/TIMP profile is a highly significant prognostic factor in colorectal cancer. Our finding of two distinct groups within stage III colorectal cancers is also consistent with the clinical observation that within this disease stage, some patients have a relatively indolent course, whereas others progress much more rapidly.

We also identified the main MMPs and TIMPs that contributed to the aggressive phenotype and identified that, although the loss of TIMP-2 was the most significant individual MMP or TIMP that contributed to poor survival of patients in group 2, its level of statistical significance in relation to survival was much less than the significance of the overall MMP/TIMP profile. This highlights the importance of identifying the MMP/TIMP profile. The loss of TIMP-2 expression would potentially result in greater MMP activity and biologically would contribute to enhanced tumor invasion and metastasis (1, 5).

This study, by analyzing the MMPs and TIMPs collectively, is the first to demonstrate that this system produces an aggressive phenotype in colorectal cancer, and these findings represent a conceptual breakthrough in the understanding of the molecular pathology of this type of tumor. Because colorectal cancer represents a well-characterized model of tumor development and progression, the results of this study provide the basis for the reevaluation of the clinical use of MMP inhibitors in colorectal cancer and other malignant diseases (21, 22).

Fig. 1.

Immunohistochemical localization of individual MMPs and TIMPs in colorectal cancer showing variation in the intensity and proportion of tumor cells displaying immunoreactivity. A, MMP-1; B, MMP-2; C, MMP-3; D, MMP-7; E,MMP-9; F, MMP-13; G, MT1-MMP; H, MT2-MMP; I, TIMP-1; J,TIMP-2; K, TIMP-3; L, negative control(Tris-buffered saline in place of primary antibody).

Fig. 1.

Immunohistochemical localization of individual MMPs and TIMPs in colorectal cancer showing variation in the intensity and proportion of tumor cells displaying immunoreactivity. A, MMP-1; B, MMP-2; C, MMP-3; D, MMP-7; E,MMP-9; F, MMP-13; G, MT1-MMP; H, MT2-MMP; I, TIMP-1; J,TIMP-2; K, TIMP-3; L, negative control(Tris-buffered saline in place of primary antibody).

Close modal
Fig. 2.

Two-dimensional unsupervised hierarchical cluster analysis of MMP/TIMP profile in colorectal cancer. On the left, a graphical representation of the MMP/TIMP immunohistochemistry score; on the right, the dendrogram produced by the hierarchical cluster analysis. Columns,specific MMPs and TIMPs; rows, individual cases. In the graphical representation, green, zero values; red, positive values. Brighter shades of red; a higher MMP/TIMP score. There is a primary division of the dendrogram into two first-order clusters (group 1, black ; group 2, blue), with distinct MMP/TIMP expression profiles. The status column: 1 = alive; 0 = dead, at the census point. All but one of the patients in group 2 were dead at the time of censoring the patient survival data.

Fig. 2.

Two-dimensional unsupervised hierarchical cluster analysis of MMP/TIMP profile in colorectal cancer. On the left, a graphical representation of the MMP/TIMP immunohistochemistry score; on the right, the dendrogram produced by the hierarchical cluster analysis. Columns,specific MMPs and TIMPs; rows, individual cases. In the graphical representation, green, zero values; red, positive values. Brighter shades of red; a higher MMP/TIMP score. There is a primary division of the dendrogram into two first-order clusters (group 1, black ; group 2, blue), with distinct MMP/TIMP expression profiles. The status column: 1 = alive; 0 = dead, at the census point. All but one of the patients in group 2 were dead at the time of censoring the patient survival data.

Close modal
Fig. 3.

Kaplan–Meier survival plot of the two primary clusters identified by unsupervised hierarchical cluster analysis(group 1 and group 2). There is a highly significant difference in survival between these two groups (log-rank test = 12.22, P = 0.0005).

Fig. 3.

Kaplan–Meier survival plot of the two primary clusters identified by unsupervised hierarchical cluster analysis(group 1 and group 2). There is a highly significant difference in survival between these two groups (log-rank test = 12.22, P = 0.0005).

Close modal

Grant support: Supported by grants from The University of Aberdeen Development Trust, endowment funds of Grampian University Hospitals Trust, The Pathological Society of Great Britain and Ireland, and The Wolfson Foundation.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Requests for reprints: Stephanie Curran, Department of Pathology, University of Aberdeen, Foresterhill, Aberdeen, United Kingdom, AB25 2ZD. Phone: 44-1224-553792; Fax: 44-1224-663002; E-mail: [email protected]

Table 1

Clinicopathologic characteristics of colorectal cancer patients

CharacteristicNo. of patients (%)
Sex  
 Male 48 (53.3) 
 Female 42 (46.7) 
Age (y), mean (range) 65 (33–89) 
 ≤65 46 (51.1) 
 >65 44 (48.9) 
Site  
 Proximal colon 29 (32.2) 
 Distal colon 36 (40) 
 Rectum 25 (27.8) 
Tumor stage  
 Dukes’ stage C (UICC stage III) 90 (100) 
  Dukes’ stage C1 69 (76.7) 
  Dukes’ stage C2 21 (23.3) 
 TNM stage  
  pN1 64 (71.1) 
  pN2 26 (29.9) 
Tumor differentiation  
 Well 
 Moderate 75 (83.3) 
 Poor 15 (16.7) 
CharacteristicNo. of patients (%)
Sex  
 Male 48 (53.3) 
 Female 42 (46.7) 
Age (y), mean (range) 65 (33–89) 
 ≤65 46 (51.1) 
 >65 44 (48.9) 
Site  
 Proximal colon 29 (32.2) 
 Distal colon 36 (40) 
 Rectum 25 (27.8) 
Tumor stage  
 Dukes’ stage C (UICC stage III) 90 (100) 
  Dukes’ stage C1 69 (76.7) 
  Dukes’ stage C2 21 (23.3) 
 TNM stage  
  pN1 64 (71.1) 
  pN2 26 (29.9) 
Tumor differentiation  
 Well 
 Moderate 75 (83.3) 
 Poor 15 (16.7) 
Table 2

Details of the antibodies to individual MMPs and TIMPs used in this study

AntibodyTypeSource (clone/ID number: ref.)Antigen retrievalOptimum dilution
MMP-1 Monoclonal Own laboratory (3B6: 9, 14, 15) Yes 1:2 
MMP-2 Monoclonal Own laboratory (4D3: 14, 15) Yes 1:20 
MMP-3 Monoclonal Own laboratory (1B4: 14) Yes Undiluted tissue culture supernatant 
MMP-7 Monoclonal Chemicon (MAB3315) No 1:3200 
MMP-9 Monoclonal Own laboratory (2C3: 14, 15) Yes 1:2 
MMP-13 Monoclonal Chemicon (MAB181–15A12) No 1:200 
MT1-MMP Polyclonal Chemicon (AB815) Yes 1:200 
MT2-MMP Monoclonal Chemicon (MAB3320) Yes 1:400 
TIMP-1 Monoclonal Own laboratory (2A5: 14) Yes 1:2 
TIMP-2 Monoclonal Own laboratory (3A4: 14) Yes 1:64 
TIMP-3 Monoclonal Chemicon (MAB3318) Yes 1:2,000 
AntibodyTypeSource (clone/ID number: ref.)Antigen retrievalOptimum dilution
MMP-1 Monoclonal Own laboratory (3B6: 9, 14, 15) Yes 1:2 
MMP-2 Monoclonal Own laboratory (4D3: 14, 15) Yes 1:20 
MMP-3 Monoclonal Own laboratory (1B4: 14) Yes Undiluted tissue culture supernatant 
MMP-7 Monoclonal Chemicon (MAB3315) No 1:3200 
MMP-9 Monoclonal Own laboratory (2C3: 14, 15) Yes 1:2 
MMP-13 Monoclonal Chemicon (MAB181–15A12) No 1:200 
MT1-MMP Polyclonal Chemicon (AB815) Yes 1:200 
MT2-MMP Monoclonal Chemicon (MAB3320) Yes 1:400 
TIMP-1 Monoclonal Own laboratory (2A5: 14) Yes 1:2 
TIMP-2 Monoclonal Own laboratory (3A4: 14) Yes 1:64 
TIMP-3 Monoclonal Chemicon (MAB3318) Yes 1:2,000 

Abbreviation: ID, identification.

Table 3

Results of survival analysis for individual factors

FactorLog rankP
Cluster grouping (group 1 vs. group 2) 12.22 0.0005 
Dukes’ C1 vs. Dukes’ C2 4.56 0.03 
Gender 4.12 0.04 
Tumor site (proximal vs. distal vs. rectum) 3.08 0.21 
Age (≤65 and >65) 2.05 0.15 
pN1 vs. pN2 0.33 0.57 
Tumor differentiation 0.07 0.79 
FactorLog rankP
Cluster grouping (group 1 vs. group 2) 12.22 0.0005 
Dukes’ C1 vs. Dukes’ C2 4.56 0.03 
Gender 4.12 0.04 
Tumor site (proximal vs. distal vs. rectum) 3.08 0.21 
Age (≤65 and >65) 2.05 0.15 
pN1 vs. pN2 0.33 0.57 
Tumor differentiation 0.07 0.79 
Table 4

Result of Cox’s multivariate regression analysis

FactorWald value *P value
Cluster grouping (group 1 vs. group 2) 11.175 0.001 
Gender (male vs. female) 6.093 0.01 
Tumor site (proximal vs. distal vs. rectum) 3.624 0.06 
Age (≤65 and >65) 1.114 0.29 
Dukes’ C1 vs. Dukes’ C2 0.72 0.4 
pN1 vs. pN2 0.520 0.471 
Tumor differentiation 0.02 0.882 
FactorWald value *P value
Cluster grouping (group 1 vs. group 2) 11.175 0.001 
Gender (male vs. female) 6.093 0.01 
Tumor site (proximal vs. distal vs. rectum) 3.624 0.06 
Age (≤65 and >65) 1.114 0.29 
Dukes’ C1 vs. Dukes’ C2 0.72 0.4 
pN1 vs. pN2 0.520 0.471 
Tumor differentiation 0.02 0.882 
*

Wald value, A test of the statistical significance of each variable in multivariate analysis.

The technical assistance of V. Ross and N. Fyfe is gratefully acknowledged.

1
Curran S, Murray GI. Matrix metalloproteinases in tumour invasion and metastasis.
J Pathol
1999
;
189
:
300
-8.
2
Curran S, Murray GI. Matrix metalloproteinases: molecular aspects of their roles in tumour invasion and metastasis.
Eur J Cancer
2000
;
36
:
1621
-30.
3
Brinckerhoff CE, Matrisian LM. Matrix metalloproteinases: a tail of a frog that became a prince.
Nat Rev Mol Cell Biol
2002
;
3
:
207
-14.
4
Yana I, Seiki M. MT-MMPs play pivotal roles in cancer dissemination.
Clin Exp Metastasis
2002
;
19
:
209
-15.
5
Jiang Y, Goldberg ID, Shi YE. Complex roles of tissue inhibitors of metalloproteinases in cancer.
Oncogene
2002
;
21
:
2245
-52.
6
Baker AH, Edwards DR, Murphy G. Metalloproteinase inhibitors: biological actions and therapeutic opportunities.
J Cell Sci
2002
;
115
:
3719
-27.
7
Leeman MF, Curran S, Murray GI. New insights into the roles of matrix metalloproteinases in colorectal cancer development and progression.
J Pathol
2003
;
201
:
528
-34.
8
Egeblad M, Werb Z. New functions for the matrix metalloproteinases in cancer progression.
Nat Rev Cancer
2002
;
2
:
161
-74.
9
Murray GI, Duncan ME, O’Neil P, Melvin WT, Fothergill JE. Matrix metalloproteinase-1 is associated with poor prognosis in colorectal cancer.
Nat Med
1996
;
2
:
461
-2.
10
Adachi Y, Yamamoto H, Itoh F, et al Clinicopathologic and prognostic significance of matrilysin expression at the invasive front in human colorectal cancers.
Int J Cancer
2001
;
95
:
290
-4.
11
Zeng ZS, Huang Y, Cohen AM, Guillem JG. Prediction of colorectal cancer relapse and survival via tissue RNA levels of matrix metalloproteinase-9.
J Clin Oncol
1996
;
14
:
3133
-40.
12
Zeng Z-S, Cohen AM, Zhang ZF, Stetler-Stevenson W, Guillem JG. Elevated tissue inhibitor of metalloproteinase 1 RNA in colorectal cancer stroma correlates with lymph node and distant metastases.
Clin Cancer Res
1995
;
1
:
899
-906.
13
Ring P, Johansson K, Hoyhtya M, Rubin K, Lindmark G. Expression of tissue inhibitor of metalloproteinases TIMP-2 in human colorectal cancer-a predictor of tumour stage.
Br J Cancer
1997
;
76
:
805
-11.
14
Murray GI, Duncan ME, Arbuckle E, Melvin WT, Fothergill JE. Matrix metalloproteinases and their inhibitors in gastric cancer.
Gut
1998
;
43
:
791
-7.
15
Murray GI, Duncan ME, O’Neil P, McKay JA, Melvin WT, Fothergill JE. Matrix metalloproteinase-1 is associated with poor prognosis in oesophageal cancer.
J Pathol
1998
;
185
:
256
-61.
16
Pritchard SC, Nicolson MC, Lloret C, et al Expression of matrix metalloproteinases 1, 2, 9 and their tissue inhibitors in stage II non-small cell lung cancer: implications for MMP inhibition therapy.
Oncol Rep
2001
;
8
:
421
-4.
17
Kerr KM, MacKenzie SJ, Ramasami S, et al Expression of Fhit, cell adhesion molecules and matrix metalloproteinases in atypical adenomatous hyperplasia and pulmonary adenocarcinoma.
J Pathol
2004
;
203
:
638
-44.
18
Leeman MF, McKay JA, Murray GI. Matrix metalloproteinase-13 is associated with poor prognosis in colorectal cancer.
J Clin Pathol
2002
;
55
:
758
-762.
19
McKay JA, Douglas JJ, Ross VG, et al Analysis of key cell cycle checkpoint proteins in colorectal tumours.
J Pathol
2002
;
196
:
386
-93.
20
McLeod HL, Murray GI. Tumour markers of prognosis in colorectal cancer.
Br J Cancer
1999
;
79
:
191
-203.
21
Coussens LM, Fingleton B, Matrisian LM. Matrix metalloproteinases inhibitors and cancer: trials and tribulations.
Science (Wash DC)
2002
;
295
:
2387
-91.
22
Overall CM, Lopez-Otin C. Strategies for MMP inhibition in cancer: innovations for the post-trial era.
Nat Rev Cancer
2002
;
2
:
657
-72.