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Imaging, Diagnosis, Prognosis |
Authors' Affiliations: 1 Section of Biomedicine, Department of Veterinary Pathobiology, Faculty of Life Sciences, University of Copenhagen, Copenhagen, Denmark; 2 Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden; 3 Department of Surgical Gastroenterology, Hvidovre University Hospital, Hvidovre, Denmark; and 4 Department of Oncology, Radiology and Clinical Immunology, Akademiska sjukhuset, Uppsala University, Uppsala, Sweden
Requests for reprints: Nils Brünner, Section of Biomedicine, Department of Veterinary Pathobiology, Faculty of Life Sciences, University of Copenhagen, Ridebanevej 3, 1870 Frederiksberg, Denmark. Phone: 45-26144708; Fax: 45-35353514; E-mail: nbr{at}life.ku.dk.
| Abstract |
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Experimental Design: Ninety patients with metastatic colorectal cancer were included in the study. Plasma TIMP-1 and serum carcinoembryonic antigen (CEA) were measured in samples obtained before the first cycle of chemotherapy.
Results: Analysis of best objective response (complete or partial response versus stable or progressive disease) showed that patients with low plasma TIMP-1 had higher probability of obtaining an objective response [odds ratio (OR), 3.5; 95% confidence interval (95% CI), 1.4-8.5, P = 0.007]. CEA treated as a continuous variable was also a statistically significant predictor of no response (OR, 1.3; 95% CI, 1.0-1.7, P = 0.02, area under the curve 0.66) but much less so. Plasma TIMP-1 was the only significant covariate in a multivariable analysis of best objective response (OR, 3.6; 95% CI, 1.4-9.5; P = 0.001). Plasma TIMP-1 scored as a continuous variable on the log scale (loge) was significantly associated with overall survival [OS; hazard ratio (HR), 3.8; 95% CI, 2.4-5.9; P < 0.0001] and with time to progression (TTP; HR, 1.5; 95% CI, 1.0-2.3; P = 0.048). Multivariable analysis showed that plasma TIMP-1 was significant for OS when including routine clinical baseline covariates (HR, 3.5; 95% CI, 2.1-5.8; P < 0.0001). A multivariable analysis including TTP instead of OS showed that only plasma TIMP-1 was retained in the model (HR, 1.5). CEA was not significantly associated with TTP or OS when TIMP-1 was included in the model.
Conclusion: This study shows that plasma TIMP-1 levels are significantly and independently associated with objective response, TTP, and OS in patients with metastatic colorectal cancer receiving combination chemotherapy.
50%, which means that half of the patients will receive treatment with no substantial clinical benefit. Today, there is no single biomarker that can be used to predict response/resistance to chemotherapy in metastatic colorectal cancer patients (1). As most types of conventional chemotherapy kill cancer cells by inducing apoptosis, it could be hypothesized that markers of apoptosis protection would be useful as markers of chemotherapy resistance.
The proteinases inhibitor, tissue inhibitor of metalloproteinase-1 (TIMP-1), inhibits, in addition to its matrix metalloproteinase inhibitory function, apoptosis (2–5).
We and others have shown that plasma levels of TIMP-1 in patients with primary colorectal cancer are associated with patient outcome; that is, high plasma TIMP-1 predicts shorter patient survival (6–12). One explanation to this association is that TIMP-1 protects cancer cells against the apoptotic stimuli that constitutively affect the cells. In support of an antiapoptotic function of TIMP-1, we have recently shown that in a cohort of 173 patients with metastatic breast cancer, high tumor tissue levels of TIMP-1 were highly significantly associated with chemotherapy resistance (13). For example, in patients with high tumor tissue TIMP-1 levels, the objective response (CR and PR) to chemotherapy was 0%. In accordance with these findings, Lipton et al. (14) showed that high plasma TIMP-1 was significantly associated with resistance to the antiestrogen tamoxifen in patients with metastatic breast cancer.
Based on the current knowledge of TIMP-1 as a protector of cancer cell apoptosis, we raised the hypothesis that levels of plasma TIMP-1 in patients with metastatic colorectal cancer would be predictive of response to chemotherapy. Indeed, the present study, including a homogeneous group of previously untreated patients treated with combination chemotherapy within a prospective trial, supports our hypothesis because a highly significant correlation was found between these two variables.
| Patients and Methods |
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Of the 90 patients, 77 had liver metastases, 23 lung metastases, 9 lymph node metastases, and 11 patients had multiple metastases.
Eligibility criteria included histologically proven adenocarcinoma of colon or rectum with metastatic disease, age between 18 and 75 years, no prior chemotherapy or only adjuvant chemotherapy if terminated >6 months before randomization was accepted, performance status (WHO) of 0 to 2, and at least one measurable metastatic lesion according to the Response Evaluation Criteria in Solid Tumors (15). Written informed consent was obtained for all patients. Exclusion criteria included central nervous system metastases, current infection, diabetes, unresolved bowel obstruction, uncontrolled inflammatory bowel disease, current history of chronic diarrhea, or any other serious medical condition.
According to the study protocol, patients were randomized to receive either of the following treatments:
Response evaluation. The primary efficacy variable was TTP defined as the time from randomization to the first documented progression or death due to progression. The secondary efficacy variable was overall survival (OS) calculated from the date of randomization until death. Responses were evaluated after every fourth cycle or every 2nd month if treatment was terminated. Treatment continued until progression or severe toxicity was noted. Overall response rate was defined as CR and PR as it is defined according to the Response Evaluation Criteria in Solid Tumors (15).
TIMP-1 analyses. EDTA plasma samples were drawn before start of chemotherapy. The samples were stored at –80°C until analyzed. In addition, in 75 of the patients, plasma samples were collected at 2, 4, and 6 weeks of treatment (samples were drawn before the initiation of each cycle). As previously described, plasma levels of TIMP-1 were determined by use of an established, validated TIMP-1 ELISA (6). In brief, for measurements of TIMP-1 protein levels, microtiter plates were coated with a sheep polyclonal antibody and detection of bound TIMP-1 (free and complex-bound forms) was done by use of a monoclonal antibody (MAC 15) and a secondary alkaline phosphatase–coupled antibody (DAKO). Readings of color development were taken every 10 min for 1 h, and calculations of concentrations were based on included recombinant TIMP-1 protein standards.
Carcinoembryonic antigen analyses. Serum samples were drawn before start of chemotherapy and after 2, 4, and 8 to 10 weeks of treatment. The level of carcinoembryonic antigen (CEA) was measured using the immunometric assay from DiaSorin.
Statistics. Descriptive statistics are presented by the median and range. Tests for location were done using the Wilcoxon rank sum test or the Kruskal-Wallis test and the Spearman rank correlation was used as a measure of association. Covariates are either dichotomized by their median or entered by the actual value on the log scale (natural). Survival probabilities for time to progression (TTP) and OS are estimated by the Kaplan-Meier method and tests for differences between strata are done using the log-rank statistics. Analyses of TTP and OS for continuous covariates as well as multivariate analyses are done using the Cox proportional hazards model. The estimation of the probability of response is done using logistic regression analysis and results are presented using the odds ratio (OR) and the receiver operating characteristic curve, including the area under the curve. P values <5% are considered statistically significant. All calculations are done using SAS (version 9.1, SAS Institute).
| Results |
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Plasma TIMP-1 scored as a continuous covariate on the log scale entered into a multivariate logistic regression analysis showed that only TIMP-1 was a significant predictor of no response (SD and PD; OR, 3.6; 95% CI, 1.4-9.5; P = 0.001; Table 2 ). The OR for a patient with TIMP-1 level equal to the 3rd quartile of TIMP-1 levels compared with one with TIMP-1 equal to the 1st quartile was 2.4 (95% CI, 1.2-4.6).
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Levels of plasma TIMP-1 and serum CEA and association with TTP and OS. Ninety patients were evaluable for TTP and OS. There was a significant trend between TTP [hazard ratio (HR), 1.5; 95% CI, 1.0-2.3, P = 0.048] and plasma TIMP-1 scored as a continuous variable on the log scale (loge). Kaplan-Meier estimates of TTP are shown in Fig. 1 with TIMP-1 dichotomized by the median. The figure illustrates that patients with plasma TIMP-1 levels below the median have a significantly longer TTP (HR, 1.9; 95% CI, 1.2-3.0; P = 0.01) than patients with plasma TIMP-1 above the median. The results of a multivariate analysis including TIMP-1 and TTP are shown in Table 3 . TIMP-1 is not significant at the 5% level (P = 0.06); however, TIMP-1 is the only covariate close to statistical significance and model selection results in TIMP-1 being the only covariate showing statistical significance.
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| Discussion |
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The possibility to predict response to chemotherapy in metastatic colorectal cancer has wide implications as it is anticipated that presently only
50% of metastatic colorectal cancer patients receiving chemotherapy have clear benefit thereof. A predictive biomarker could thus be used to protect patients from ineffective treatment and thereby from the adverse effects induced by chemotherapy. On the other hand, the predictive biomarker could be used to select metastatic colorectal cancer patients not only for routine systemic chemotherapy, but also for clinical trials testing either different or more aggressive treatment schedules, or new types of chemotherapy/biological–based therapy.
In the present study, the patients received irinotecan and 5-FU + folinic acid by two different schedules. The treatment schedule was not retained in the multivariate analysis, suggesting that the association between plasma TIMP-1 and objective response was independent of treatment schedule but directly related to tumor sensitivity/resistance to the drugs. Analyses of the entire randomized study of 557 patients reveal that there is no difference between schedules for either TTP or OS.6 The question then arise whether the present results are only valid when these two drugs are being used or whether plasma TIMP-1 would also predict sensitivity/resistance to other classes of chemotherapeutic compounds. We have recently found that patients with metastatic breast cancer and high tumor tissue levels of TIMP-1 in the tumor tissue sampled at the time of primary surgery are resistant to systemic chemotherapy, either the combinations of cyclophosphamide, methotrexate and 5-FU, cyclophosphamide, epirubicin and 5-FU, or doxorubicin given alone (13). Taking these data together with the present findings suggest that TIMP-1 predicts for sensitivity/resistance to several classes of chemotherapy. The strong associations with both TTP, directly related to the efficacy of the first-line combination, and OS, influenced also by the efficacy of subsequent lines of treatment, suggest that the predictive ability is not restricted to the used combination. In further support of this statement is that in our experimental model consisting of wild-type and TIMP-1 gene-deficient fibrosarcoma cells (16), we consistently find the TIMP-1–expressing wild-type cells more resistant than the TIMP-1 gene-deficient cells to a variety of chemotherapeutic compounds (etoposide, vincristine, and Cytosar).
CEA levels were also measured in a subset of the patients (n = 67). CEA treated as a continuous variable was found to be significantly associated with objective response, with higher serum CEA levels predicting lack of objective response. However, when combining CEA with TIMP-1, no significantly improved fit was obtained. Serum CEA was neither a significant predictor of TTP nor of OS when TIMP-1 was included as the only other covariate.
The antiapoptotic effect of TIMP-1 can be regulated both in a matrix metalloproteinase (MMP)–dependent and a MMP-independent way. In vivo and in vitro experiments, using mammary epithelial cells, have shown that apoptotic effector molecules, such as caspases, are induced by degradation of the extracellular matrix by MMPs, leading to apoptotic cell death (2–4). As such, the anti-MMP function of TIMP-1 would indirectly inhibit apoptosis. In support of this notion is a study of apoptosis in mammary epithelial cells originating from MMP-3 transgenic mice showing that the number of apoptotic cells was significantly reduced when the cells came from MMP-3 transgenic/TIMP-1–overexpressing mice (4). In support of an MMP-independent TIMP-1 antiapoptotic function is that reduced or alkylated TIMP-1, completely devoid of all MMP inhibitory activity, effectively inhibits apoptosis in Burkitt's lymphoma cells (5). In the same study, it was also reported that addition of recombinant TIMP-1 lead to inhibition of apoptosis, and that addition of anti–TIMP-1 antibodies to neutralize secreted TIMP-1 resulted in a 4-fold increase in induction of apoptosis. The antiapoptotic mechanism of TIMP-1 could be mediated by interaction with a binding protein, which may induce survival signals through activation of the focal adhesion kinase and/or the phosphatidylinositol 3-kinase, leading to increased expression of the antiapoptotic protein Bcl-XL and preventing activation of the caspase cascade (17–20). Indeed, it was recently reported that TIMP-1 binds to CD63, which is a membrane protein belonging to the family of teraspanin molecules (21). Added TIMP-1 was shown to bind to cell surfaces, inducing activation of the above-described signaling pathway leading to protection of the cells from apoptotic stimuli.
Knowing that TIMP-1 can induce chemoresistance in cancer cells in vitro, it is obvious to speculate whether TIMP-1 could represent a valid target for increasing tumor cell sensitivity to chemotherapy. Normal cells do not overexpress TIMP-1, and the TIMP-1 gene–deficient mouse is without any detectable phenotype, suggesting that systemic inhibition of TIMP-1 in a patient, who subsequently receives chemotherapy, would not induce additional toxicity in the normal tissue. We have recently published that also another proteinase inhibitor, plasminogen activator inhibitor-1, protects cancer cells against apoptosis induced by a wide range of chemotherapeutic compounds (22, 23). Of particular interest was that although PAI-1 gene–deficient murine fibrosarcoma cells showed increased sensitivity to chemotherapy in vitro, no difference in systemic toxicity was observed when exposing PAI-1 gene–deficient and wild-type mice to chemotherapy.
The present study was done on plasma. We believe that the elevated plasma TIMP-1 found in the metastatic colorectal cancer patients originates from the metastatic tumor tissue and thereby reflects production and secretion of TIMP-1 from the tumor tissue. It could thus be of interest to test whether tumor tissue TIMP-1 instead of plasma TIMP-1 measurements would give a more direct TIMP-1 tumor measurement and thereby superior results regarding drug sensitivity/resistance. It is noteworthy that the data obtained in our breast cancer study originated from tumor tissue TIMP-1 measurements from the primary tumor (13).
Future studies should be designed to determine clinically relevant cutpoints of plasma TIMP-1 and further prospectively validate plasma TIMP-1 measurements in the prediction of response to chemotherapy in patients with metastatic colorectal cancer. Future studies should also include measurements of other potential predictive markers in addition to TIMP-1 to determine if any other biomarker should be included together with TIMP-1 in a panel of markers to be used to predict sensitivity/resistance to chemotherapy in patients with metastatic colorectal cancer.
| Footnotes |
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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.
Note: The results of this study was presented at the 2006 AACR Meeting as a poster.
N.M. Sørensen and P. Byström contributed equally as first authors and B. Glimelius and N. Brünner contributed equally as senior authors to the scientific work.
6 B. Glimelius et al., unpublished information. ![]()
Received 1/23/07; revised 4/18/07; accepted 5/10/07.
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This article has been cited by other articles:
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A. Lipton, K. Leitzel, H. A. Chaudri-Ross, D. B. Evans, S. M. Ali, L. Demers, P. Hamer, S. Brown-Shimer, K. Pierce, V. Gaur, et al. Serum TIMP-1 and Response to the Aromatase Inhibitor Letrozole Versus Tamoxifen in Metastatic Breast Cancer J. Clin. Oncol., June 1, 2008; 26(16): 2653 - 2658. [Abstract] [Full Text] [PDF] |
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O. Gul, H. Basaga, and O. Kutuk Apoptotic blocks and chemotherapy resistance: strategies to identify Bcl-2 protein signatures Brief Funct Genomic Proteomic, February 18, 2008; (2008) eln002v1. [Abstract] [Full Text] [PDF] |
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