Plasma tissue inhibitor of metalloproteinases-1 as a biological marker? Pre-analytical considerations

Treatment With Platelet Lysate Inhibits Proteases of Synovial Fluid in Equines With Osteoarthritis

Osteoarthritis (OA) is the most prevalent arthropathy in sport horses. The administration of a platelet lysate (PL) is an alternative method for the treatment of musculoskeletal conditions. The mechanisms by which PL exerts its beneficial effects have not been determined, and less is known about its effect on the activity of the proteolytic enzymes of the synovial fluid of equines with OA. In this work, the effect of the administration of PL to horses with OA was analyzed both clinically and molecularly by determining the levels of matrix metalloproteinase-2 (MMP-2), matrix metalloproteinase-9 (MMP-9), a disintegrin and metalloproteinase with thrombospondin motifs 5 (ADAMTS-5), glycosaminoglycans (GAGs), and tissue inhibitor of metalloproteinase 1 (TIMP-1) in synovial fluid. One mL of PL was administered intra-articularly followed by the extraction of synovial fluid on days 0, 10, 30, and 60. Results were evaluated by an analysis of variance for repeated measures. The levels of MMP-9 decreased significantly (P < .05) on day 10 after treatment with PL. A disintegrin and metalloproteinase with thrombospondin motifs 5 decreased significantly on days 10 (P < .05), 30 (P < .05), and 60 (P < .01) after treatment. The levels of synovial TIMP-1 increased significantly on day 30 (P < .001) after treatment. Glycosaminoglycans showed a significant increase on days 10 (P < .05) and 30 (P < .01). A significant decrease was found for MMP-2 on day 10 (P < .01), 30 (P < .01), and 60 (P < .001). In conclusion, the beneficial effects of PL in OA could be attributed to the decreased activity of MMP-2, MMP-9, and ADAMTS-5 and the increased concentration of GAGs and TIMP-1 after the administration of platelet-rich plasma.

Tissue Inhibitor of Metalloproteinases-1 as a Biological Marker in Colorectal Cancer: Influence of Smoking on Plasma Levels?

Background

At present plasma tissue inhibitor of metalloproteinases-1 (TIMP-1) is undergoing validation as a biological marker in colorectal cancer (CRC). The clinical implementation of plasma TIMP-1 in prognosis, prediction, screening and monitoring CRC requires robust information as to the influence of preanalytical factors, including inter- and intrapersonal biological variations. The aim of the present study was to evaluate the possible effects of smoking on the level of TIMP-1 in plasma from healthy subjects.

Materials and Methods

Forty-six never-smokers and 48 daily smokers participated in the 13-week study. Smokers were randomized into 3 groups of 16 subjects each: one group continued to smoke, a second group refrained from smoking and used a transdermal nicotine patch, and a third group refrained from smoking and used placebo patches. Plasma TIMP-1 levels were determined using ELISA.

Results

No significant differences in TIMP-1 levels could be shown between the smoking group, the 2 different abstinent smoking groups and the never-smoking group.

Conclusion

Smoking does not appear to have any influence on TIMP-1 levels in plasma collected from healthy subjects.

Assessment of the Biological Variation of Plasma Tissue Inhibitor of Metalloproteinases-1

Background

Tissue inhibitor of metalloproteinases-1 (TIMP-1) measurements in plasma may be useful for the early detection and prognosis of colorectal cancer (CRC). Data on analytical performance and normal intra- and interindividual biological variation are required in order to interpret the utility of TIMP-1 in CRC. The aim of this study was to establish the biological and analytical variation of plasma TIMP-1 in volunteers.

Material and methods

Three separate studies were undertaken. 1: Plasma was collected from 23 volunteers 6 times within a 3-week period, first in September 2004 (round [R] 1), then repeated in May 2005 (R2) and May 2006 (R3) in the same group of individuals. TIMP-1 levels were determined by the MAC15 ELISA assay and with the Abbott ARCHITECT i2000 Immunoanalyzer. 2: Circadian variation was evaluated in plasma collected 7 times within a 24-hour period (n=16). 3: Effects of physical exercise were evaluated in plasma collected before and after bicycling (n=14). In studies 2 and 3 TIMP-1 levels were determined with the MAC15 ELISA assay only.

Results

A significant correlation between TIMP-1 MAC15 and ARCHITECT i2000 was shown (rs=0.78, p<0.002), with consistently higher levels being detected by the ARCHITECT i2000. Median levels of TIMP-1 (ARCHITECT) at 8 a.m. in each round were 74.9 ng/mL (range 65.7–89.9) (R1), 87.3 ng/mL (range 72.7–127.9) (R2), and 81.9 ng/mL (range 66.8–113.6) (R3). The within-subject variation was 10.7%, the variation between rounds was 7.4%, and the intraclass correlation was 46.2%. Comparison between the 3 rounds and time of collection showed that TIMP-1 values decreased by 11% after storage for more than 16 months (p=0.0002). A systematic circadian variation in plasma TIMP-1 levels was not observed (p=0.17). No significant variation of plasma TIMP-1 was found in relation to physical exercise (p=0.92 [global test]).

Conclusion

Levels of plasma TIMP-1 in volunteers show limited circadian, day-to-day, week-to-week and season-to-season variation. In addition, physical exercise has no impact on plasma TIMP-1 levels. Possible storage-dependent decreases in plasma TIMP-1 levels warrant further investigation.

Multicentric study of the effect of pre-analytical variables in the quality of plasma samples stored in biobanks using different complementary proteomic methods

Analytical proteomics has experienced exponential progress in the last decade and can be expected to lead research studies on diagnostic and therapeutic biomarkers in the near future. Because the development of this type of analysis requires the use of a large number of human samples with a minimum of quality requirements, our objective was to identify appropriate indicators for quality control of plasma samples stored in biobanks for research in proteomics. To accomplish this, plasma samples from 100 healthy donors were obtained and processed according to the pre-analytical variables of: a) time delay for the first centrifugation of the original blood sample (4 or 24h) and b) number of freeze/thaw cycles (1, 2 or 3) of the processed plasma samples. The analyses of samples were performed by different and complementary methods such as SPE MALDI-TOF, DIGE, shotgun (iTRAQ, nLC MALDI TOF/TOF) and targeted nLC MS/MS proteomic techniques (SRM). In general, because the distribution of proteins in all samples was found to be very similar, the results shown that delayed processing of blood samples and the number of freeze/thaw cycles has little or no effect on the integrity of proteins in the plasma samples.

SIGNIFICANCE

The results of the present work indicate that blood proteins in plasma are broadly insensitive to such preanalytical variables as delayed processing or freeze/thaw cycles when analyzed at the peptide level. Although there are other studies related to protein stability of clinical samples with similar results, what is remarkable about our work is the large number of plasma samples examined and that our analyses assessed protein integrity by combining a wide set of complementary proteomic approaches performed at different proteomic platform participating laboratories that all yielded similar results. We believe our study is the most comprehensive performed to date to determine the changes in proteins induced by delayed sample processing and plasma freeze/thaw cycles.

Biobanking of Cerebrospinal Fluid for Biomarker Analysis in Neurological Diseases

Cerebrospinal fluid (CSF) reflects pathophysiological aspects of neurological diseases, where neuroprotective strategies and biomarkers are urgently needed. Therefore, biobanking is very relevant for biomarker discovery and evaluation for these neurological diseases.An important aspect of CSF biobanking is quality control, needed for e.g. consistent patient follow-up and the exchange of patient samples between research centers. Systematic studies to address effects of pre-analytical and storage variation on a broad range of CSF proteins are needed and initiated.Important features of CSF biobanking are intensive collaboration in international networks and the tight application of standardized protocols. The current adoption of standardized protocols for CSF and blood collection and for biobanking of these samples, as presented in this chapter, enables biomarker studies in large cohorts of patients and controls.In conclusion, biomarker research in neurodegenerative diseases has entered a new era due to the collaborative and multicenter efforts of many groups. The streamlining of biobanking procedures, including sample collection, quality control, and the selection of optimal control groups for investigating biomarkers is an important improvement to perform high quality biomarker studies.

Colorectal cancer biomarkers: To be or not to be? Cautionary tales from a road well travelled

Colorectal cancer (CRC) is the second most common cause of cancer-related death worldwide and places a major economic burden on the global health care system. The time frame for development from premalignant to malignant disease typically spans 10-15 years, and this latent period provides an ideal opportunity for early detection and intervention to improve patient outcomes. Currently, early diagnosis of CRC is hampered by a lack of suitable non-invasive biomarkers that are clinically or economically acceptable for population-based screening. New blood-based protein biomarkers for early detection of CRC are therefore urgently required. The success of clinical biomarker discovery and validation studies is critically dependent on understanding and adjusting for potential experimental, analytical, and biological factors that can interfere with the robust interpretation of results. In this review we outline some important considerations for research groups undertaking biomarker research with exemplars from our studies. Implementation of experimental strategies to minimise the potential effects of these problems will facilitate the identification of panels of biomarkers with the sensitivity and specificity required for the development of successful tests for the early detection and surveillance of CRC.

Is tissue inhibitor of metalloproteinase-1 a new prognosticator for breast cancer? An analysis of 266 cases

Overexpression of tissue inhibitor of metalloproteinase-1 at either the messenger RNA or protein level has been related to a poorer prognosis in breast cancer. We investigated the role of tissue inhibitor of metalloproteinase-1 tissue expression, which was evaluated by immunohistochemistry staining of paraffin-embedded samples, as a possible prognostic indicator in breast cancer. The study included 266 patients treated by primary surgery. Tumors were scored tissue inhibitor of metalloproteinase-1 positive when at least 10% of the cells showed moderate or strong staining. Staining was observed in 76 (28.6%) patients; by multivariate analysis, factors independently associated with tissue inhibitor of metalloproteinase-1 positivity included more than 9 metastatic axillary nodes, high Mib-1 expression, and positivity for plasminogen activator inhibitor and CD44. With a median follow-up of 125 months, tissue inhibitor of metalloproteinase-1 expression showed a significant prognostic role in disease-free and overall survival by univariate analysis. Multivariate analysis confirmed an independent negative prognostic impact of tissue inhibitor of metalloproteinase-1 on overall but not disease-free together with high values of Mib-1. The number of involved axillary nodes, and triple negativity were independent predictors of either poorer disease-free or overall survival. In our study, tissue inhibitor of metalloproteinase-1 expression was significantly related to markers of tumor aggressiveness and was a powerful indicator of poorer prognosis, with a difference in 10-year disease-free and overall survival of 14% and 28%, respectively, between tissue inhibitor of metalloproteinase-1-negative and tissue inhibitor of metalloproteinase-1-positive cases. Expression of tissue inhibitor of metalloproteinase-1 also was an independent prognostic factor in node-positive cases, indicating a possible role of tissue inhibitor of metalloproteinase-1 as a marker of reduced chemosensitivity. Thus, tissue inhibitor of metalloproteinase-1 may have a role in clinical practice as a prognostic and predictive factor and a possible target for future therapies.

Comprehensive serum profiling for the discovery of epithelial ovarian cancer biomarkers

FDA-cleared ovarian cancer biomarkers are limited to CA-125 and HE4 for monitoring and recurrence and OVA1, a multivariate panel consisting of CA-125 and four additional biomarkers, for referring patients to a specialist. Due to relatively poor performance of these tests, more accurate and broadly applicable biomarkers are needed. We evaluated the dysregulation of 259 candidate cancer markers in serum samples from 499 patients. Sera were collected prospectively at 11 monitored sites under a single well-defined protocol. All stages of ovarian cancer and common benign gynecological conditions were represented. To ensure consistency and comparability of biomarker comparisons, all measurements were performed on a single platform, at a single site, using a panel of rigorously calibrated, qualified, high-throughput, multiplexed immunoassays and all analyses were conducted using the same software. Each marker was evaluated independently for its ability to differentiate ovarian cancer from benign conditions. A total of 175 markers were dysregulated in the cancer samples. HE4 (AUC = 0.933) and CA-125 (AUC = 0.907) were the most informative biomarkers, followed by IL-2 receptor α, α1-antitrypsin, C-reactive protein, YKL-40, cellular fibronectin, CA-72-4 and prostasin (AUC>0.800). To improve the discrimination between cancer and benign conditions, a simple multivariate combination of markers was explored using logistic regression. When combined into a single panel, the nine most informative individual biomarkers yielded an AUC value of 0.950, significantly higher than obtained when combining the markers in the OVA1 panel (AUC 0.912). Additionally, at a threshold sensitivity of 90%, the combination of the top 9 markers gave 88.9% specificity compared to 63.4% specificity for the OVA1 markers. Although a blinded validation study has not yet been performed, these results indicate that alternative biomarker combinations might lead to significant improvements in the detection of ovarian cancer.

Consensus Guidelines for CSF and Blood Biobanking for CNS Biomarker Studies

There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in cerebrospinal fluid (CSF) are being used in clinical practice. Anti-aquaporin-4 antibodies in serum are currently useful for the diagnosis of neuromyelitis optica (NMO), but we could expect novel CSF biomarkers that help define prognosis and response to treatment for this disease. One of the most critical factors in biomarker research is the inadequate powering of studies performed by single centers. Collaboration between investigators is needed to establish large biobanks of well-defined samples. A key issue in collaboration is to establish standardized protocols for biobanking to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by pre-analytical factors. Here, consensus guidelines for CSF collection and biobanking are presented, based on the guidelines that have been published by the BioMS-eu network for CSF biomarker research. We focussed on CSF collection procedures, pre-analytical factors and high quality clinical and paraclinical information. Importantly, the biobanking protocols are applicable for CSF biobanks for research targeting any neurological disease.

Plasma TIMP-1 and CEA in detection of primary colorectal cancer: a prospective, population based study of 4509 high-risk individuals

OBJECTIVE

The combination of plasma tissue inhibitor of metalloproteinases-1 (TIMP-1) and carcinoembryonic antigen (CEA) may be valuable biomarkers for early detection of colorectal cancer (CRC). A prospective, population based study was performed to validate this hypothesis.

MATERIAL AND METHODS

Individuals (n = 4509) referred for large bowel endoscopy due to symptoms of CRC were prospectively included. Baseline data and concurrent diseases were recorded. The primary endpoint was detection of CRC and findings at examinations were recorded using International Classification of Diseases-10 codes. Plasma was obtained before endoscopy and TIMP-1 and CEA levels were determined after the inclusion of all individuals.

RESULTS

Findings were based on sigmoidoscopy in 1766 and colonoscopy in 2743 individuals. Colon cancer (CC) was detected in 184 and rectal cancer in 110 individuals. Ten individuals with other cancers, 856 with adenomas and 1176 with non-neoplastic findings were also detected. The biomarker levels were increased in a variety of diseases including CRC compared to individuals without any findings at endoscopy. A multivariable analysis demonstrated that both markers were significant and independent detectors of CRC. Combining both biomarkers, independent contributions from each (TIMP-1, odds ratio (OR) = 1.8 (95% confidence interval (CI): 1.4-2.2), p < 0.0001; CEA < 5 ng/ml, OR = 1.6, 1.3-1.9, or ≥ 5 ng/ml, OR = 2.3, 95% CI: 1.9-2.7 (p < 0.0001)) were obtained. Subgroup analysis of individuals examined by colonoscopy with CC as the endpoint showed that combining both biomarkers, independent contributions from each (TIMP-1, OR = 2.5, 95% CI: 1.8-3.4, p < 0.0001; CEA < 5 ng/ml, OR = 1.4, 95% CI: 1.1-1.8, and CEA ≥ 5 ng/ml, OR = 2.3, 95% CI: 1.8-3.0 (p < 0.0001)) were obtained.

CONCLUSIONS

This prospective validation study supports the use of the combination of plasma TIMP-1 and CEA protein measurements as a potential aid in early detection of CRC and specifically of CC.

Impact of cryopreservation on serum concentration of matrix metalloproteinases (MMP)-7, TIMP-1, vascular growth factors (VEGF) and VEGF-R2 in Biobank samples

BACKGROUND

Blood biomarkers are subject to pre-analytical variability. In many cases, the stability of important new tissue biomarkers during freeze cycles and storage has not been studied sufficiently.

METHODS

To test the stability of matrix metalloproteinases-7 (MMP-7) and their tissue inhibitors (TIMP-1), vascular growth factors (VEGF) and VEGF-receptor, serum samples were frozen and then thawed up to six times. The impact of storage temperature was investigated using an accelerated stability testing protocol. Stability at -20°C and -75°C was calculated using the Arrhenius equation.

RESULTS

The average concentration of TIMP-1 was stable, even after six freeze/thaw cycles. One thawing did not change the concentration of MMP-7 and VEGF-receptor. However, repeated freeze/thaw cycles increased the measured values significantly. Decreases in VEGF concentrations were dramatic, even after the first freeze/thaw cycle. According to the Arrhenius calculation, MMP-7 showed excellent stability, at least 5 years at -20°C and several 100 years at -75°C. The VEGF-receptor maintains 90% of its initial concentration at -20°C over 3 months, and decades at -75°C. TIMP-1 and VEGF showed poor stability with cryopreservation, even at -75°C.

CONCLUSIONS

The stability of MMP-7, TIMP-1, VEGF or VEGF-receptor in biobanking is highly variable, and this should be taken into account in the interpretation of results. A temperature -20°C is unsuitable for prolonged storage of the biomarkers investigated, and repeated thawing of sera is not recommended. VEGF is especially unstable and should be quantitated using serum that has never been frozen.

Angiogenesis in vestibular schwannomas: expression of extracellular matrix factors MMP-2, MMP-9, and TIMP-1

OBJECTIVES/HYPOTHESIS

Vascular endothelial growth factor (VEGF) and matrix metalloproteinases (MMPs) are potent mediators of tumor angiogenesis. It has been demonstrated that vestibular schwannoma VEGF expression correlates with tumor growth pattern, whereas knowledge on the expression of MMPs is lacking. This study targets the angiogenic process by investigation of tumor expression of MMP-2, MMP-9, and tissue inhibitors of metalloproteinase (TIMP)-1. A possible correlation with gender, patient age, symptom duration, tumor size, and the absolute and relative growth rate is explored.

STUDY DESIGN

Prospective vestibular schwannoma tissue sampling for ELISA and immunohistochemical determination of MMP-2, MMP-9 and TIMP-1.

METHODS

Thirty-four patients with a sporadic, noncystic, vestibular schwannoma were selected prospectively. Repeated, preoperative magnetic resonance imaging determined the tumor growth pattern. Following translabyrinthine resection, an enzyme-linked immunosorbent assay was used for determination of the MMP-2, MMP-9, and TIMP-1 concentration in tumor sample homogenates. Immunohistochemical labeling was performed in 12 randomly selected tumors.

RESULTS

: All tumor homogenates expressed measurable MMP-9, MMP-2, and TIMP-1. Immunolabeling localized MMP-9 expression to the tumor cells, whereas MMP-2 and TIMP-1 was found interstitially. A significant correlation existed between the concentration MMP-9 and absolute tumor growth rate, whereas a weak correlation occurred for the relative growth rate.

CONCLUSIONS

Vestibular schwannomas express MMP-2, MMP-9, and TIMP-1 and the tumor concentration of MMP-9 correlates with absolute tumor growth rate, but not with age, gender, symptom duration, or preoperative tumor size. No correlations existed between any clinical parameter and MMP-2 or TIMP-1 expression. We conclude that MMP-9 appears to be involved in the growth of vestibular schwannomas.

A novel prognostic index in colorectal cancer defined by serum carcinoembryonic antigen and plasma tissue inhibitor of metalloproteinases-1

OBJECTIVE

The introduction of stage-independent prognostic markers may play a significant role in future selection for adjuvant treatment for early-stage colorectal cancer (CRC). The purpose of this study was to assess the combination of preoperative serum carcinoembryonic antigen (CEA) and plasma tissue inhibitor of metalloproteinases (TIMP)-1 as a prognostic index in patients with primary, curatively resected CRC.

MATERIAL AND METHODS

Blood samples were collected before surgery from 422 patients with CRC stage I-III (Dukes' stage A-C). CEA was determined in serum by a routine analysis and TIMP-1 was determined in plasma using a validated in-house enzyme-linked immunosorbent assay. Disease-free survival (DFS) was registered and its associations with serum CEA and plasma TIMP-1 levels were studied using a Cox multivariate model. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) for DFS were calculated.

RESULTS

An event was recorded in 186 patients: 75 had local recurrence, 75 had distant metastases, 28 had both local recurrence and distant metastases, and 36 died from their cancer without a registered recurrence. Scoring CEA and TIMP-1 as continuous variables on a logarithmic scale, serum CEA and plasma TIMP-1 were statistically significant in a multivariate analysis with HR = 1.1 (95% CI 1.0-1.2) and HR = 1.5 (95% CI 1.1-2.0), respectively. The two serological markers could be combined to form a prognostic index adjusted for baseline variables. This index showed a 51% increase in HR for a given CEA level if the TIMP-1 level was doubled.

CONCLUSIONS

Preoperative serum CEA and plasma TIMP-1 levels are independent predictors of DFS in patients with primary resectable CRC. In combination these two proteins could form an index for the assessment of risk of disease recurrence in early-stage CRC.

A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking

There is a long history of research into body fluid biomarkers in neurodegenerative and neuroinflammatory diseases. However, only a few biomarkers in CSF are being used in clinical practice. One of the most critical factors in CSF biomarker research is the inadequate powering of studies because of the lack of sufficient samples that can be obtained in single-center studies. Therefore, collaboration between investigators is needed to establish large biobanks of well-defined samples. Standardized protocols for biobanking are a prerequisite to ensure that the statistical power gained by increasing the numbers of CSF samples is not compromised by preanalytical factors. Here, a consensus report on recommendations for CSF collection and biobanking is presented, formed by the BioMS-eu network for CSF biomarker research in multiple sclerosis. We focus on CSF collection procedures, preanalytical factors, and high-quality clinical and paraclinical information. The biobanking protocols are applicable for CSF biobanks for research targeting any neurologic disease.

Translating molecular medicine into clinical tools: doomed to fail by neglecting basic preanalytical principles

This commentary discusses a study on measurements of matrix metalloproteinase 9 (MMP-9) in serum of pseudoxanthoma elasticum patients recently published in Journal of Molecular Medicine. This study can be considered the typical "obstacle" to effective translational medicine as previously documented in JTM journal. Although serum has been frequently proven as inappropriate sample for determining numerous circulating MMPs, among them MMP-9, there are over and over again studies, as in this case, that measure MMP-9 in serum. Comparative measurements in serum and plasma samples demonstrated higher concentrations for MMP-9 in serum due to the additional release from leukocytes and platelets following the coagulation/fibrinolysis process. From this example it can be concluded that translating basic research discoveries into clinical tools needs a more intensive exchange between basic biomedical research and clinical scientists already in an early stage. Otherwise a lost of translation, as discussed in JTM journal, seems to be inevitable.

Banking of biological fluids for studies of disease-associated protein biomarkers

With the increasing demand of providing personalized medicine the need for biobanking of biological material from individual patients has increased. Such samples are essential for molecular research aimed at characterizing diseases at several levels ranging from epidemiology and diagnostic and prognostic classification to prediction of response to therapy. Clinically validated biomarkers may provide information to be used for diagnosis, screening, evaluation of risk/predisposition, assessment of prognosis, monitoring (recurrence of disease), and prediction of response to treatment and as a surrogate response marker. Many types of biological fluids or tissues can be collected and stored in biorepositories. Samples of blood can be further processed into plasma and serum, and tissue pieces can be either frozen or fixed in formalin and then embedded into paraffin. The present review focuses on biological fluids, especially serum and plasma, intended for study of protein biomarkers. In biomarker studies the process from the decision to take a sample from an individual to the moment the sample is safely placed in the biobank consists of several phases including collection of samples, transport of the samples, and handling and storage of samples. Critical points in each step important for high quality biomarker studies are described in this review. Failure to develop and adhere to robust standardized protocols may have significant consequences as the quality of the material stored in the biobank as well as conclusions and clinical recommendations based on analysis of such material may be severely affected.