
Clinical Cancer Research Vol. 9, 3098-3104, August 2003
© 2003 American Association for Cancer Research
Experimental Therapeutics, Preclinical Pharmacology |
Morphometric Evaluation of Tumor Matrix Metalloproteinase 9 Predicts Survival after Surgical Resection of Adenocarcinoma of the Lung1
Clovis Antônio Pinto,
Paulo Eduardo de Oliveira Carvalho,
Leila Antonângelo,
Ana Garippo,
Alecsander Guillaumon Pereira da Silva,
Fernando Soares,
Riad Younes,
Ricardo Beyruti,
Teresa Takagaki,
Paulo Saldiva,
Robin T. Vollmer2 and
Vera Luiza Capelozzi
Department of Pathology [C. A. P., F. S.] and Thoracic Surgery of Hospital do Câncer AC Camargo [R. Y.] and Marilia Medical School [P. E. d. O. C.] and Departments of Thoracic Surgery [R. B.], Oncology [T. T.], and Pathology [L. A., A. G., A. G. P. d. S., P. S., V. L. C.], School of Medicine, University of São Paulo, São Paulo, Brazil, and Duke University and VA Medical Centers, Durham, North Carolina 27705 [R. T. V.]
 |
ABSTRACT
|
|---|
Purpose: Recently, several matrix metalloproteinases (MMPs) have shown promise as prognosticators in non-small cell lung cancer. In this study, we sought to validate the importance of MMP-9 and to study the relationships between MMP-9 and several other tumor or stromal markers.
Experimental Design: We examined MMP-9 and several other markers in tumor tissues from 152 patients with surgically excised adenocarcinomas of the lung. Their preoperative clinical stages were T14N0M0; however, pathological exam of their resected tissues demonstrated that 33 were stage II, and 64 were stage III. We used immunohistochemistry and morphometry to evaluate the amount of tumor staining for MMP-9, and the outcome for our study was survival time until death from recurrent lung cancer.
Results: Multivariate Cox model analysis demonstrated that pathological stage was significantly related to survival time (P < 0.01), but quantitative staining of the tumor for MMP-9 added prognostic information (P < 3.0 x10-16) and was more strongly prognostic than pathological stage. In the subset of pathological stage I patients, staining for MMP-9 was also significantly associated with survival (P < 1.0 x10-6), and a cutpoint at the median staining of 11.2% for MMP-9 divided them into two groups with distinctive survival times. Those with MMP-9 > 11.2% had a median survival time of just 11 months. Those with MMP-9 < 11.2% had not reached a median survival and had a mean survival time of >62 months.
Conclusions: Tumor staining for MMP-9 in resected adenocarcinoma of the lung is strongly related to survival. Patients with >11.2% staining in their tumors comprise a subset with a high hazard for dying of lung cancer and may be an appropriate target for prospective studies of adjuvant chemotherapy after surgical resection.
 |
INTRODUCTION
|
|---|
A minority of patients with NSCLC3
have tumors sufficiently localized to be considered treatable by surgical resection, and among those whose tumors are successfully resected, approximately 50% survive 5 years (1)
. Thus, clearly some NSCLCs have developed occult spread beyond the lung even when they appear to have been completely removed. If we could identify those tumors destined to recur, we could treat the patients with adjuvant chemotherapy and perhaps eradicate any residual tumor. Thus there is great interest in ways to identify which tumors are likely to recur and shorten the patients life (1
, 2)
, and for the adjuvant treatment to be effective, we must identify these tumors shortly after surgery.
In this regard, many have studied molecular or other markers in the primary tumor as well as the surrounding tissue milieu to discover what might relate to tumor recurrence and shortened survival (1, 2, 3, 4, 5, 6, 7, 8, 9)
. Because degradation of the extracellular matrix has been thought to be important to tumor invasion and metastasis (10
, 11)
, a group of MMPs have been targeted as potentially useful tumor markers (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
. Among these, MMP-9 has shown promise. MMP-9 is a Mr 92,000 gelatinase that degrades type IV collagen (12)
, and by IHC, it has been found in 2065% of NSCLCs (17
, 19, 20, 21, 22, 23, 24, 25)
. In some studies, staining for MMP-9 has also been found to be significantly associated with survival (17
, 23
, 25)
, but there has been uncertainty about how best to record staining for MMP-9. In fact, there have been nearly as many ways to report IHC for MMP-9 as studies. Some have used binary cutpoints to define a positive tumor. Others have expressed the staining in relation to stromal staining or other proteins, and yet others have expressed it quantitatively. To validate the importance of MMP-9 and to explore the quantitative relationship between this factor and outcome as well as the relationship between MMP-9 and other tumor and stromal factors, we studied this marker in 152 cases of localized adenocarcinoma of the lung and herein report our results.
 |
PATIENTS AND METHODS
|
|---|
Patients and Tumor Tissues.
The patients of this study comprised 152 patients with completely resected adenocarcinoma of the lung. All were clinically staged to be T14N0M0, and all were considered to have tumors potentially curable by surgical resection. Clinical staging used routine chest X-ray, bronchoscopy, computerized tomography of thorax and upper abdomen, abdominal ultrasound, and bone scan. Mediastinoscopy and lymph node biopsy were additionally performed on patients whose lymph nodes had a short axis diameter of >1 cm. Other details about these patients are summarized in Table 1
.
Tumor tissue used in this study was derived from the routine formalin-fixed pathological samples taken from the resected lung specimens and after routine pathological studies had been completed. One of us (V. L. C.) reviewed and verified the histological diagnosis to be adenocarcinoma and subclassified the tumors according to the WHO tumor classification (28)
, and we selected a sample of the paraffin-embedded tumor for further observations that were made in two broad categories: those on the tumor; and those on the surrounding tissue milieu.
Histological Tumor Variables.
The presence of MMP-9, p53, and Ki-67 was analyzed by immunohistochemical staining using the avidin-biotin immunoperoxidase complex technique, pressure cooking antigen retrieval, biotinylated rabbit antimouse IgG (Dako Corp.; dilution, 1:400), streptavidin combined in vitro with biotinylated horseradish peroxidase (Dako Corp.; dilution, 1:1000), diaminobenzidine tetrahydrochloride, and counterstaining with hematoxylin. The antibodies used were MMP-9 mouse monoclonal clone 562A4, which recognizes both latent and active MMP-9 (Biogen; dilution, 1:100), monoclonal mouse antihuman p53 protein (DO7; Dako A/S, Glostrup, Denmark; dilution, 1:40), and Ki-67 antigen (Dako A/S; dilution, 1:1800). Brownish nuclear staining was considered to be evidence of the p53 and Ki-67 antigen expression by cells, whereas membranous and cytoplasmic staining characterized MMP-9 expression. In addition, we quantified the staining as follows. First, at low magnification, we selected the region of highest expression. Then, at x400, we used an eyepiece systematic point sampling grid with 100 points and 50 lines (Fig. 1)
to count the fraction of points overlaying positively stained structures. We averaged this over 10 microscopic fields to obtain a final result as a percentage of staining structures. Examples of tumor staining for p53 and MMP-9 appear in Fig. 1
.

View larger version (150K):
[in this window]
[in a new window]
[Download PPT slide]
|
Fig. 1. A, eyepiece sampling grid superimposed on tumor tissue and used for morphometric measurements. B, immunohistochemical staining for p53 demonstrating staining of tumor cell nuclei. C, immunohistochemical staining for MMP-9 demonstrating staining of tumor cell cytoplasm. D, AgNOR silver colloid deposits in tumor cell nuclei. E, Sirius red staining for collagen within the tumor. F, Weigerts stain for elastin in the tumor.
|
|
In addition, we estimated tumor cell nuclear size as star volume (V*) using the stereological method of point-sampled intercepts (29
, 30)
. Briefly, at x400 magnification, we examined tumor nuclei with an eyepiece sampling grid. For each point in the test system that hit a nuclear profile in focus, the distance from nuclear border to nuclear border was measured through the sampling point in one arbitrary direction. These intercept lengths (Lo) were individually cubed, and an average value over 150 tumor nuclei was multiplied by
/3 to obtain an unbiased volume-weighted estimate of the mean nuclear size as shown below.
We evaluated AgNOR 100 tumor cells/case using the one-step silver colloid method (31)
and a digital image analysis comprising an Axioplan microscope (Zeiss Corp.), a charge-coupled device Sony DXC-101 camera (Trinitron Sony), a digitizer (Oculus TCX; Coreco Inc., St. Laurent, Canada), a Pentium-based computer, and Bioscan-Optimas 5.1 software (Bioscan, Inc., Edmonds, WA). An example of tumor stained for AgNOR also appears in Fig. 1
.
Tissue Environment Variables.
We evaluated microvessel density using the anti-CD34 monoclonal antibody (Novocastra Laboratory, Newcastle, United Kingdom) at a 1:25 dilution and the same immunohistochemical procedure as used for MMP-9, p53, and Ki-67. For each slide, the 10 most vascular areas within the tumor mass were chosen, and at x200 magnification, we counted the number of CD34-positive staining vascular structures (single cells or cell clusters) by conventional area sampling (29
, 30)
and then recorded the average counts of the 10 fields. We omitted from the count larger vessels with thick muscular walls or with lumens greater than 50 µm, and we carefully avoided other cells that might stain for CD34 such as transformed lymphocytes.
To evaluate the overall stromal component of tumor, we used point-counting technique and the same eyepiece grid and expressed the result as a ratio of points overlaying stroma to points overlaying tumor cells, averaged over 10 noncoincident microscopic x250 tumor fields. To evaluate collagen, we used the image analysis system described above, staining by a 0.2% solution of Sirius red (Direct Red 80; C. I. 35780; Aldrich, Milwaukee, WI) in aqueous saturated picric acid and polarized light (32, 33, 34)
. We evaluated elastin using the Weigerts resorcin-fuchsin stain, modified with a previous oxidation (32, 33, 34)
, as well as the same image analysis system. For both collagen and elastin, we analyzed a total of 10 fields/case at x400 magnification, and we expressed the results as area per unit of stroma; examples of tumors stained for collagen and elastin also appear in Fig. 1
.
Statistical Analysis.
Initial analyses were done using Kaplan-Meier curves, and final multivariate analyses were done using the Cox proportional hazard model (35)
. In addition, the general linear model was used to test the relationship between one continuous variable and several others, and the residuals were examined to ensure that they were approximately normally distributed. All analyses were done with S-PLUS statistical software (MathSoft, Inc., Seattle, WA). The threshold for statistical significance was chosen as P = 0.05.
 |
RESULTS
|
|---|
Table 2
summarizes the morphometric results found in the tumors and in surrounding environment. In addition, we found that the level of staining for MMP-9 related significantly to several factors having to do with the stage of the tumor, its phenotype, or the tissue environment. General linear model analysis demonstrated that staining for MMP-9 related significantly to overall stage (P = 0.012), to the presence of T4 tumor stage (P = 0.0076), to staining of the tumor for p53 (P < 1 x 10-7), to nuclear volume (P = 0.0096), and most strongly to vascular density (P < 1 x 10-8). All these relationships were significant after allowing for the contribution of the others, and for this analysis we used a multivariable model. In addition, in univariate analyses, the level of staining for MMP-9 was related to N stage at a borderline level (P = 0.06). Also, in univariate analysis, MMP-9 was negatively related to the amount of stroma (P = 0.04). In other words, higher levels of tumor staining for MMP-9 were associated with smaller fractions of stroma in the tumor. MMP-9 did not relate to elastin (P > 0.4), collagen (P > 0.5), AgNORs (P > 0.3), or Ki-67 (P > 0.5). Fig. 2
uses four plots to demonstrate the relationships between staining for MMP-9 and T stage (top left), N stage (top right), overall stage (bottom left), as well as stromal vessels (bottom right). The three box plots demonstrate that the relationship between MMP-9 and stage factors was relatively weak. On the other hand, the scatter plot in the bottom right corner shows that there was a strong relationship between staining of the tumor for MMP-9 and stromal microvessel density.

View larger version (22K):
[in this window]
[in a new window]
[Download PPT slide]
|
Fig. 2. Four plots demonstrate the relationships between staining for MMP-9 and T stage (top left), N stage (top right), overall stage (bottom left), as well as stromal vessels (bottom right). In the box plots, the solid bar represents the values of MMP-9 between the 25th and 75th percentiles; the white bar shows the median value; and the top and bottom brackets show the extreme values.
|
|
Survival Analysis.
Preliminary examination of Kaplan-Meier survival curves (data not shown) demonstrated that in this study, patients with pathological stages II and III had approximately the same hazard for survival with a median survival time equal to 15 months for both groups. Thus, we coded overall pathological stage as a single dummy variable with a value of 0 for stage I and a value of 1 for stages II and III. The results of the Cox model analysis appear in Table 3
. Just two variables were significantly associated with survival time: pathological stage and staining of the tumor for MMP-9, which was used as a continuous variable. Once these two variables were accounted for, none of the others related to survival. For example, we found that individual T and N stages were significantly related to survival time in the absence of MMP-9 (Ps ranging from 0.01 to 0.05); however, when MMP-9 was present as a covariate, its relationship to survival was much stronger. Whereas the overall likelihood ratio of the Cox model using T and N staging information alone was just 14.8, the likelihood ratio with stage and MMP-9 was 82. After controlling for pathological stage, microvessel density was significantly related to survival (P = 3.8 x 10-7), but with MMP-9 present as a variable in the Cox model, microvessel density was no longer significant (P > 0.09). The model likelihood ratio with stage and microvessel density as covariates was just 33.5 compared with 82 for stage and MMP-9. We also found that the prognostic information provided by MMP-9 was maximized when this variable was used as a continuous one, that is, one without the usual cutpoint at 20% of the tumor tissue. For example, the Cox model likelihood ratio was just 45 when MMP-9 was used with a cutpoint at 20%, whereas it was 82 when used as a continuous variable. This continuous relationship is also illustrated in Fig. 3
. Here, survival time for all those observed to die of recurrent tumor is plotted against MMP-9, and the trend is demonstrated by the loess line smoothing function provided by S-PLUS. The resulting smooth line indicates that there is not a cutpoint in the way survival time depends upon staining for MMP-9.

View larger version (12K):
[in this window]
[in a new window]
[Download PPT slide]
|
Fig. 3. Plot of natural logarithm of survival time for all those observed to die of recurrent tumor on vertical axis versus percentage of tumor cells staining for MMP-9 on the horizontal axis. The trend in the points is given by the line, which comes from the loess line smoothing function of S-PLUS.
|
|
Finally, we examined the importance of MMP-9 to survival in just the 55 of our patients who had pathological stage I tumors. Once again, MMP-9 was significantly related to survival time by the Cox model (P = 9.8 x 10-7). In this subset, 50% of the patients had MMP-9 values > 11.2%, and 50% had MMP-9 values
11.2%. Although there is no biologically distinctive cutpoint in MMP-9, we chose this median value of 11.2% as a practical way to examine the stage I patients outcome. We found that it separated these stage I patients into two groups with distinctly different average survival times as illustrated by Kaplan-Meier plots in Fig. 4
. The group with
11.2% MMP-9 appears as the top curve, and their median survival time was not reached during our follow-up. Their mean survival time, however, was quite long (62.5 months). By contrast, those with >11.2% MMP-9 (bottom curve) had a median survival time of just 11 months after surgery (P < 1 x 10-6 by log-rank test).

View larger version (10K):
[in this window]
[in a new window]
[Download PPT slide]
|
Fig. 4. Kaplan-Meier plots of survival probability versus follow-up time in months in those patients with pathological stage I disease. The group with 11.2% MMP-9 appears as the top curve, and the group with >11.2% MMP-9 appears as the bottom curve.
|
|
 |
DISCUSSION
|
|---|
Clearly, the likely reason that surgical excision fails to cure some patients with localized NSCLC is because of occult metastases that have not yet been detected by either routine imaging or routine pathological analysis. The question of interest is whether additional, more technological information gathered from either the tumor tissue or its milieu can help us identify tumors likely to have occult metastases. The process of cancer cell invasion and metastasis undoubtedly comprises a series of complex, sequential steps, but among these the proteolysis of basement membranes and other extracellular matrix by either tumor cells or endothelial cells is thought to be important because this breakdown facilitates the migration of tumor cells and penetration of tumor by blood vessels (10
, 11)
. The MMPs belong to a class of transmembrane or secreted endopeptidases that degrade components of the extracellular matrix, and recent studies have shown that several MMPs are increased in the early stages of tumor progression. In a variety of tumors, increased expression of MMPs as detected by IHC has been associated with unfavorable outcomes (36, 37, 38)
. Among these, MMP-2 and MMP-9 have been especially noted. Thus, for all these reasons, we should not be surprised to learn that IHC staining for MMPs provides important prognostic information about NSCLC, and our results now confirm the prognostic importance of MMP-9 in adenocarcinomas of the lung. Whereas only three prior studies were able to show a significant relationship between IHC staining for MMP-9 in the tumor and survival (17
, 23
, 25) , our results suggest that staining for MMP-9, used as a continuous variable, provides more prognostic information than does routine pathological stage. Furthermore, the prognostic importance of MMP-9 persisted in the subset of patients with pathological stage I. Although we were unable to identify a binary cutpoint in MMP-9, a natural dividing point these stage I tumors was the median of 11.2% of cells staining for MMP-9, and this point provided a practical way to separate them into two groups: patients with an expected short survival versus patients with an expected longer survival. Thus, IHC staining of the primary tumor for MMP-9 offers us the potential to guide the use of adjuvant chemotherapy in patients likely to fail after surgical excision of NSCLC. To finalize this conclusion will require greater study in a randomized and prospective trial, and we also believe it important to validate our quantitative assessment of MMP-9 as well as to extend it to other histological types of NSCLC by studying MMP-9 in additional patients.
We have also found that IHC staining for MMP-9 was associated with other prognostic factors. For example, we found that staining for MMP-9 was significantly related to pathological stage, and yet MMP-9 provided more prognostic information. Staining for MMP-9 was also significantly related to tumor expression of p53, nuclear size and, in univariate analysis, the amount of stroma, but once again MMP-9 provided more prognostic information. Most interesting was the strong, quantitative relationship we found between MMP-9 and microvessel density. MMP-9 was positively associated with vessel density, even after controlling for other, related variables. Although microvessel density has been repeatedly found to be a strong prognostic variable in resectable NSCLC (39, 40, 41, 42, 43, 44)
, we found that its relationship with survival was not as strong as that for MMP-9. Using microvessel density as a covariate with stage in the Cox model produced an overall likelihood ratio of 33.5, whereas using MMP-9 and stage resulted in a likelihood ratio of 82. Because the likelihood ratio was greater when using MMP-9, we conclude that MMP-9 provided more prognostic information in our patients than did microvessel density.
A variety of associations between MMPs and angiogenesis have been described recently (45)
. Not only have MMPs been thought to break down connective tissue and thus allow vascular migration, but they have also been thought to regulate endothelial cell attachment and proliferation (45)
. Hiraoka et al. (46)
also showed that MMPs in endothelial cells regulate neovascularization. In ovarian tumors, Garzetti et al. (47)
found that staining of tumor cells for vascular endothelial growth factor correlated to staining for MMP-2. In addition, Bergers et al. (48)
found that expression of both MMP-2 and MMP-9 was increased in pancreatic islets that had become angiogenic and that MMP-9 could make normal islets angiogenic as well as release vascular endothelial growth factor. Now, we have demonstrated that in pulmonary adenocarcinoma there is a strong correlation between microvessel density and tumor level of MMP-9, and to the best of our knowledge, this is the first report of this association in NSCLC. The strong association between tumor staining for MMP-9 and angiogenesis suggests that tumors manufacturing and secreting higher levels of MMP-9 facilitate growth and penetration of capillaries into the tumor tissue milieu. Thus, increased tumor expression of MMP-9 may be more of a primary event, and increased angiogenesis may be more of a secondary event. Regardless of the mechanism, staining of the primary tumor for MMP-9 provides important prognostic information in adenocarcinomas of the lung after surgical resection.
 |
FOOTNOTES
|
|---|
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.
1 Supported by the following Brazilian agencies: the National Council for Scientific and Technological Development; the Foundation for the Support of Research of the State of São Paulo; and the Laboratories for Medical Research, Clinicas Hospital, School of Medicine, University os São Paulo. 
2 To whom requests for reprints should be addressed, at Laboratory Medicine 113, VA Medical Center, 508 Fulton Street, Durham, NC 27705. 
3 The abbreviations used are: NSCLC, non-small cell lung cancer; MMP, matrix metalloproteinase; IHC, immunohistochemistry; AgNor, nucleolar organizing regions. 
Received 9/10/02;
revised 3/10/03;
accepted 3/21/03.
 |
REFERENCES
|
|---|
- Strauss G. M., Kwiatkowski D. J., Harpole D. H., Lynch T. J., Skarin A. T., Sugarbaker D. J. Molecular and pathologic markers in stage I non-small cell carcinoma of the lung. J. Clin. Oncol., 13: 1265-1279, 1995.[Abstract]
- Graziano S. L. Non-small cell lung cancer: clinical value of new biological predictors. Lung Cancer, 17 (Suppl.): S37-S58, 1997.
- Battlehner C. N., Saldiva P. H. N., Carvalho C. R. R., Takagaki T. Y., Montes G. S., Younes R. N., Capelozzi V. L. Nuclear/cytoplasmic ratio correlates strongly with survival in non-disseminated neuroendocrine carcinoma of the lung. Histopathology, 22: 31-34, 1993.[Medline]
- Bernardi F. D. C., Capelozzi V. L., Takagaki T., Younes R., Saldiva P. H. N. Usefulness of morphometric evaluation of histopathological slides is useful in predicting long-term outcome of patients with squamous cell carcinoma of the lung. A preliminary report. Chest, 107: 614-620, 1995.[Abstract/Free Full Text]
- Caporrino C., Saldiva P. H. N., Farhat C. A., Takagaki T. Y., Younes R. Y., Capelozzi V. L. Stereological estimates of nuclear star volume and vessels as predictors of chemotherapy response in small cell carcinoma of the lung. Histopathology, 35: 257-266, 1999.[CrossRef][Medline]
- Carvalho H. A., Takagaki T. H., Saldiva P. H. N., Capelozzi V. L. Stereological estimates of nucleus/cytoplasm ratio and star volume on fiberoptic biopsies are of prognostic value to discriminate survival after radiotherapy in advanced squamous cell carcinoma of the lung. Histopathology, 31: 420-429, 1997.[CrossRef][Medline]
- Carvalho P. E. O., Antonângelo L., Bernardi F. D. C., Leão L. E. V., Rodrigues O R. R., Capelozzi V. L. Useful prognostic panel markers to express the biological tumor status in resected lung adenocarcinomas. Jpn. J. Clin. Oncol., 30: 478-486, 2000.[Abstract/Free Full Text]
- Capelozzi V., Battlehner C. N., Montes G. S., Saldiva P. H. N. Volume fraction of dense-core granules correlates well with survival in disseminated (stage IV) neuroendocrine carcinoma of the lung. Pathol. Pract. Res., 189: 1145-1148, 1993.
- Demarchi L. M. M., Reis M. M., Palomino S. A P., Farhat C., Takagaki T., Beyruti R., Saldiva P. H. N., Capelozzi V. L. Prognostic values of stromal density and PCNA, Ki-67, and p53 proteins in patients with resected adenocarcinoma of the lung. Mod. Pathol., 13: 511-520, 2000.[CrossRef][Medline]
- Liotta L. A., Rao C. N., Barsky H. Tumor invasion and the extracellular matrix. Lab. Investig., 49: 636-649, 1983.[Medline]
- Aznavoorian S., Murphy N. A., Stetler-Stevenson W. G., Liotta L. A. Molecular aspects of tumor cell invasion and metastasis. Cancer (Phila.), 71: 1368-1383, 1993.[CrossRef][Medline]
- Wilson C. L., Matrisian L. M. Matrylisin: an epithelial matrix metalloproteinase with potentially novel functions. Int. J. Biochem. Cell Biol., 28: 123-136, 1996.[CrossRef][Medline]
- Bonomi P. Matrix metalloproteinases and matrix metalloproteinase inhibitors in lung cancer. Semin. Oncol., 29(Suppl.4): 78-86, 2002.[CrossRef][Medline]
- Urbanski S. J., Edwards D. R., Maitland A., Leco K. J., Watson A., Kossakowsak A. E. Expression of metalloproteinases and their inhibitors in primary pulmonary carcinomas. Br. J. Cancer, 66: 1188-1194, 1992.[Medline]
- Brown P. D., Bloxidge R. E., Stuart N. S., Gatter K. C., Carmichael J. Association between expression of activated 72-kilodalton gelatinase and tumor spread in non-small cell lung carcinoma. J. Natl. Cancer Inst. (Bethesda), 85: 574-578, 1993.[Abstract/Free Full Text]
- Canete-Soler R., Litzky L., Lubensky I., Muschel R. J. Localization of the 92 kd gelatinase mRNA in squamous cell and adenocarcinomas of the lung using in situ hybridization. Am. J. Pathol., 144: 518-527, 1994.[Abstract]
- Kodate M., Kasai T., Hashimoto H., Yasumoto K., Iwata Y., Manabe H. Expression of matrix metalloproteinase (gelatinase) in T1 adenocarcinoma of the lung. Pathol. Int., 47: 461-469, 1997.[Medline]
- Nawrocki B., Polette M., Marchand V., Monteau M., Gillery P., Turnier J-M., Birembaut P. Expression of matrix metalloproteinases and their inhibitors in human bronchiopulmonary carcinomas: quantificative and morphological analyses. Int. J. Cancer, 72: 556-564, 1997.[CrossRef][Medline]
- Suzuki M., Lizawa T., Fujisawa T., Baba M., Yamaguchi Y., Kimura H., Suzuki H. Expression of matrix metalloproteinases and tissue inhibitors of matrix metalloproteinases in non-small cell lung cancer. Invasion Metastasis, 18: 134-141, 1998.[CrossRef][Medline]
- Gonzalez-Avila G., Iturria C., Vadillo F., Teran L., Selman M., Perez-Tamaio R. 72-kD (MMP-2) and 92-kD (MMP-9) type IV collagenase production and activity in different histologic types of lung cancer cells. Pathobiology, 66: 5-16, 1998.[CrossRef][Medline]
- Iizasa T., Fujisawa T., Suzuki M., Motohashi S., Yasufuku K., Yasukawa T., Baba M., Shiba M. Elevated levels of circulating plasma matrix metalloproteinase 9 in non-small cell lung cancer patients. Clin. Cancer Res., 5: 149-153, 1999.[Abstract/Free Full Text]
- Fujise N., Nanashima A., Taniguchi Y., Matsuo S., Hatano K., Matsumoto Y., Tagawas Y., Ayabe H. Prognostic impact of cathepsin B and matix metalloproteinase-9 in pulmonary adenocarcinomas by immunohistochemical study. Lung Cancer, 27: 19-26, 2000.[CrossRef][Medline]
- Cox G., Jones J. L., OByrne K. J. Matrix metalloproteinase 9 and the epidermal growth factor signal pathway in operable non-small cell lung cancer. Clin. Cancer Res., 6: 2349-2355, 2000.[Abstract/Free Full Text]
- Thomas P., Khokha R., Shepherd F. A., Feld R., Tsao M-S. Differential expression of matrix metalloproteinases and their inhibitors in non-small cell lung cancer. J. Pathol., 190: 150-156, 2000.[CrossRef][Medline]
- Shou Y., Hirano T., Gong Y., Kato Y., Yoshida K., Ohira T., Ikeda N., Konaka C., Ebihara Y., Zhao F., Kato H. Influence of angiogenetic factors and matrix metalloproteinases upon tumour progression in non-small-cell lung cancer. Br. J. Cancer, 85: 1706-1712, 2001.[CrossRef][Medline]
- Kumaki F., Matsui K., Kawai T., Ozeki Y., Yu Z-X., Ferrrans V. J., Travis W. D. Expression of matrix metalloproteinases in invasive pulmonary adenocarcinoma with bronchioloalveolar component and atypical adenomatous hyperplasia. Am. J. Pathol., 159: 2125-2135, 2001.[Abstract/Free Full Text]
- Passlick B., Sienel W., Seen-Hibler R., Wockel W., Thetter O., Mutschler W., Pantel K. Overexpression of matrix metalloproteinases 2 predicts unfavorable outcome in early-stage non-small cell lung cancer. Clin. Cancer Res., 6: 3944-3948, 2000.[Abstract/Free Full Text]
- The World Health Organization. . Histological Typing of Lung Tumors, 3rd ed. Springer-Verlag Berlin 1999.
- Hilliard J. E. Measurement of volume in volume DeHoff R. T. Rhines F. N. eds. . Quantitative Microscopy, 48-49, McGraw-Hill Book Co. New York 1968.
- Gundersen H. J. G., Bendtsen T. F., Korbo L., Marcussen N., Møller A., Nielsen K., Nyengaard J. R., Pakkenberg B., Sorensen F. B., Versterby A., et al Some new, simple and efficient stereological methods and their use in pathological research and diagnosis. APMIS, 96: 379-394, 1988.[Medline]
- Ploton D., Menager M., Jeannesson P., Himber G., Pigeon F., Adnett J. J. Improvement in the staining and in the visualization of argyrophilic proteins of nucleolar organizer regions at the optical level. Histochem. J., 18: 5-14, 1986.[CrossRef][Medline]
- Montes G. S., Junqueira L. C. U. Histochemical localization of collagen and of proteoglycans in tissues Nimni M. E. eds. . Collagen, 2: 41 CRC Press Boca Raton, FL 1988.
- Montes G. S. Structural biology of the fibers of the collagenous and elastic systems. Cell. Biol. Int., 20: 15-27, 1996.[CrossRef][Medline]
- Lemos M., Pozzo R. M. K., Montes G. S., Saldiva P. H. N. Organization of collagen and elastic fibers studied in stretch preparations of whole mounts of human visceral pleura. Ann. Anat., 179: 447-452, 1997.
- Cox D. R., Oakes D. . Analysis of Survival Data., Chapman and Hall, Inc. London 1990.
- Talvensaari M. A., Paakko P., Hoyhtya M., Blanco S. G., Turpeenniemi H. T. Matrix metalloproteinase-2 immunoreactive protein: a marker of aggressiveness in breast carcinoma. Cancer (Phila.), 83: 1153-1162, 1998.[CrossRef][Medline]
- Grigioni W. F., DErrico A., Fiorentino M., Baccarini P., Onisto M., Caenazzo C., Stetler-Stevenson W. G., Garbisa S., Mancini A. M. Gelatinase A (MMP-2) and its mRNA detected in both neoplastic and stromal cells of tumors with different invasive and metastatic properties. Diagn. Mol. Pathol., 3: 163-169, 1994.[Medline]
- Moser P. L., Hefler L., Tempfer C., Neunteufel W., Kieback D. G., Gitsch G. Immunohistochemical detection of matrix metalloproteinase 2 (TIMP 2) in stage I and II endometrial cancer. Anticancer Res., 19: 2365-2367, 1999.[Medline]
- Macchiarini P., Fontanini G. M., Hardin M. J., Squartini F., Angeletti C. A. Relation of neovascularization to metastasis of non-small cell lung cancer. Lancet, 340: 145-146, 1992.[CrossRef][Medline]
- Yamazaki K., Abe S., Takekawa H., Sukoh H., Watanabe N., Ogura S., Nakajima I., Isobe H., Inoue K., Kawakami Y. Tumor angiogenesis in human lung adenocarcinoma. Cancer (Phila.), 74: 2245-2250, 1994.[CrossRef][Medline]
- Yuan A., Yang P. C., Yu C. J., Lee Y. C., Yao Y. T., Chan C. L., Lee L. N., Kuo S. H., Lung K. T. Tumor angiogenesis correlates with histologic type and metastasis in non-small cell lung cancer. Am. J. Respir. Crit. Care Med., 152: 2157-2162, 1995.[Abstract]
- Fontanini G., Bigini D., Vignati S., Basolo F., Mussi A., Lucchi M., Chine S., Angeletti C. A., Harris A. L., Bevilacqua G. Microvessel count predicts metastatic disease and survival in non-small cell lung cancer. J. Pathol., 177: 57-63, 1995.[CrossRef][Medline]
- Harpole D. H., Richards W. G., Herndon J. E., Sugarbaker D. J. Angiogenesis and molecular biologic substaging in patients with stage I non-small lung cancer. Ann. Thorax. Surg., 61: 1470-1476, 1996.
- Fontanini G., Vignati S., Bigini D., Mussi A., Lucchi M., Chine S., Angeletti C. A., Bevilacqua G. Recurrence and death in non-small cell lung carcinomas: a prognostic model using pathological parameters, microvessel count, and gene protein products. Clin. Cancer Res., 2: 1067-1075, 1996.[Abstract]
- Stetler-Stevenson W. G. Matrix metalloproteinases in angiogenesis: a moving target for therapeutic intervention. J Clin. Investig., 103: 1237-1241, 1999.[Medline]
- Hiraoka N., Allen E., Apel I. J., Gyetko M. R., Weiss S. J. Matrix metalloproteinase regulate neovascularization by acting as pericellular fibrinolysins. Cell, 95: 365-377, 1998.[CrossRef][Medline]
- Garzetti G. G., Ciavattini A., Lucarini G., Pugnaloni A., De Nictolis M., Amati S., Romanini C., Biagini G. Expression of vascular endothelial growth factor related to 72-kilodalton metalloproteinase immunostaining in patients with serous ovarian tumors. Cancer (Phila.), 85: 2219-2225, 1999.[CrossRef][Medline]
- Bergers G., Brekken R., McMahon G., Vu T. H., Ito T., Tamaki K., Tanzawa K., Thorpe P., Itohata S., Werb Z., Hanahan D. Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis. Nat. Cell Biol., 2: 737-744, 2000.[CrossRef][Medline]
This article has been cited by other articles:

|
 |

|
 |
 
R. S. Heist, A. L. Marshall, G. Liu, W. Zhou, L. Su, D. Neuberg, T. J. Lynch, J. Wain, and D. C. Christiani
Matrix metalloproteinase polymorphisms and survival in stage I non-small cell lung cancer.
Clin. Cancer Res.,
September 15, 2006;
12(18):
5448 - 5453.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
F. B. Santos, L. K. S. Nagato, N. M. Boechem, E. M. Negri, A. Guimaraes, V. L. Capelozzi, D. S. Faffe, W. A. Zin, and P. R. M. Rocco
Time course of lung parenchyma remodeling in pulmonary and extrapulmonary acute lung injury
J Appl Physiol,
January 1, 2006;
100(1):
98 - 106.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
B. Dong, M. Sato, A. Sakurada, M. Sagawa, C. Endo, S. Wu, S. Yamanaka, A. Horii, and T. Kondo
Computed tomographic images reflect the biologic behavior of small lung adenocarcinoma: They correlate with cell proliferation, microvascularization, cell adhesion, degradation of extracellular matrix, and K-ras mutation
J. Thorac. Cardiovasc. Surg.,
September 1, 2005;
130(3):
733 - 739.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
J. S. Rao, C. Gondi, C. Chetty, S. Chittivelu, P. A. Joseph, and S. S. Lakka
Inhibition of invasion, angiogenesis, tumor growth, and metastasis by adenovirus-mediated transfer of antisense uPAR and MMP-9 in non-small cell lung cancer cells
Mol. Cancer Ther.,
September 1, 2005;
4(9):
1399 - 1408.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. J. Kim, Z. N. Rabbani, R. T. Vollmer, E.-G. Schreiber, E. Oosterwijk, M. W. Dewhirst, Z. Vujaskovic, and M. J. Kelley
Carbonic Anhydrase IX in Early-Stage Non-Small Cell Lung Cancer
Clin. Cancer Res.,
December 1, 2004;
10(23):
7925 - 7933.
[Abstract]
[Full Text]
[PDF]
|
 |
|