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Imaging, Diagnosis, Prognosis |
Authors' Affiliations: 1 Dipartimento di Scienze Morfologico-Biomediche, Sezione di Anatomia ed Istologia, Università di Verona, Verona and 2 Nerviano Medical Sciences, Nerviano, Milan, Italy
Requests for reprints: Pasquina Marzola, Dipartimento di Scienze Morfologico-Biomediche, Università di Verona, Strada Le Grazie 8, I-37134 Verona, Italy. Phone: 39-45-802-7255; Fax: 39-45-802-7163; E-mail: pasquina.marzola{at}univr.it.
| Abstract |
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Experimental Design: A s.c. tumor model of HT29 human colon carcinoma in athymic mice was used. Two DCE-MRI techniques were used based, respectively, on macromolecular [Gd-diethylenetriaminepentaacetic acid (DTPA)-albumin] and low molecular weight (Gd-DTPA) contrast agents. The first technique provided a quantitative measurement of transendothelial permeability and fractional plasma volume, accepted surrogate markers of tumor angiogenesis. With the second technique, we quantified the initial area under the concentration-time curve, which gives information related to tumor perfusion and vascular permeability. Experiments were done before and 24 hours after a single dose administration of SU11248.
Results: The early antiangiogenic effect of SU11248 was detected by DCE-MRI with macromolecular contrast agent as a 42% decrease in vascular permeability measured in the tumor rim. The effect was also detected by DCE-MRI done with Gd-DTPA as a 31% decrease in the initial area under the concentration-time curve. Histologic slices showed a statistically significant difference in mean vessel density between the treated and control groups.
Conclusions: The early antiangiogenic activity of SU11248 was detected in vivo by DCE-MRI techniques using either macromolecular or low molecular weight contrast agents. Because DCE-MRI techniques with low molecular weight contrast agents can be used in clinical studies, these results could be relevant for the design of clinical trials based on new paradigms.
SU11248 is a novel selective multitargeted receptor tyrosine kinase inhibitor that exhibits direct antitumor activity against tumor cells dependent on signaling through platelet-derived growth factor receptor, KIT, FLT3, or vascular endothelial growth factor receptor for proliferation/survival (911). SU11248 also has antiangiogenic activity through its inhibition of vascular endothelial growth factor receptor and platelet-derived growth factor receptor signaling. In mouse xenograft models, SU11248 caused regression, growth arrest, or substantially reduced growth of various established xenografts derived from human (HT-29, A431, Colo205, H-460, SF763T, A375, and MDA-MB-435) or rat (C6) tumor cells (9). The antiangiogenic activity was evaluated in some representative experiments through the mean vessel density from histologic slices and using the Miles assay for vascular permeability (9). Decrease in mean vessel density was observed even in tumor models which did not regress after treatment. Moreover, histologic studies showed that, in some experimental models, SU11248 induced extensive destruction of tumor mass, although no evidence of regression of tumor size was obtained (9). These findings well illustrate the issues connected with the evaluation of the efficacy of novel antiangiogenic compounds in preclinical setups.
In this paper, we describe the use of two DCE-MRI techniques in the in vivo evaluation of the early antiangiogenic efficacy of SU11248. The antiangiogenic effect of SU11248 was shown by DCE-MRI done with a macromolecular prototype contrast agent (Gd-DTPA-albumin) using an experimental protocol widely applied in preclinical studies (7, 12); moreover, this effect was shown by DCE-MRI done with a clinically approved, low molecular weight contrast agent (Gd-DTPA), using an experimental protocol directly exportable to the clinical practice.
| Materials and Methods |
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25 g. Animals were inserted in the study when the tumors reached a weight of
500 mg and were subdivided into two groups according to the MRI protocol, one group (n = 5 control and n = 5 treated) underwent DCE-MRI with macromolecular contrast agent, and another group (n = 5 control and n = 5 treated) underwent MRI with small molecular weight contrast agent (Gd-DTPA). All animals received a single dose (45 mg/kg, p.o.) of SU11248 (n = 10) or vehicle (n = 10) and were observed by MRI prior to and 24 hours after treatment. The investigation complied with the national legislation about the care and use of laboratory animals.
Contrast agents. Gd-DTPA-albumin, synthesized according to Ogan et al. (13), was obtained from R. Brasch (Contrast Media Laboratory, University of California, San Francisco, CA) and is characterized by an average molecular weight of 94 kDa, corresponding to
45 molecules of Gd-DTPA covalently bound to each albumin molecule. A bolus of Gd-DTPA-albumin was injected into the tail vein at a dose of 30 µmol of Gd/kg; the total injected volume was 2.6 mL/kg. Gd-DTPA (Magnevist, Schering, Germany) was given in bolus trough the tail vein at a dose of 100 µmol/kg.
MRI. Mice were anaesthetized by inhalation of a mixture of air and O2 containing 0.5% to 1% halothane and placed in prone position into a 3.5 cm i.d. transmitter-receiver birdcage coil. Images were acquired using a Biospec tomograph (Bruker, Karlsruhe, Germany) equipped with a 4.7 T, 33 cm bore horizontal magnet (Oxford Ltd., Oxford, United Kingdom). Coronal spin echo and transversal multislice, fast spin echo T2-weighted (RARE, TEeff = 70 ms) were acquired for tumor localization and good visualization of extratumoral tissues. In experiments done with Gd-DTPA-albumin, a dynamic series of three-dimensional, transversal spoiled-gradient echo images were acquired with the following variables: repetition-time / echo-time = 50/3.5 ms, flip angle (
) = 90 degrees; matrix size, 128 x 64 x 32; field-of-view, 5 x 2.5 x 3 cm3 (corresponding to 0.39 x 0.39 mm2 in-plane resolution and 0.94 mm slice thickness); number of acquisition, 1. The acquisition time for a single three-dimensional image was 104 seconds; a dynamic scan of 24 images was acquired with 30-second time intervals between each image (total acquisition time, 53 minutes.). The contrast agent was injected in bolus during the time interval between the first and the second scan. The experimental protocol closely followed the one reported in ref. (12), with the modifications already described (7, 14). For experiments with Gd-DTPA, after coronal spin echo and transversal multislice, fast spin echo T2-weighted (RARE, TEeff = 70 ms) images, acquired for tumor localization, a dynamic series of T1-weighted, spoiled gradient echo images were acquired with the following variables: repetition-time, 65 ms; echo-time, 3.8 ms;
= 90 degrees; matrix size, 128 x 256 zero-filled at 256 x 256; field-of-view, 6 x 6 cm2; space resolution, 0.234 x 0.234 mm2. Two slices (slice thickness, 1.5 mm and slice separation, 1.5 mm) were acquired at the tumor center. The acquisition time for a single image was 8.2 seconds and a time interval of 1 second was placed between two successive images (time resolution, 9.2 seconds). A total of 60 images were acquired, 3 before and 57 after the contrast medium bolus injection. The dynamic evolution of the signal was observed for about 10 minutes.
MR quantitative evaluation and statistics. After acquisition, data were transferred to a personal computer for analysis. Data were analyzed using MatLab 5.2 (The MathWorks, Inc., Natick, MA). Images acquired with Gd-DTPA-albumin were analyzed as previously reported (7, 14) in order to obtain values of transendothelial permeability (kPS) and fractional plasma volume (fPV) on a pixel-by-pixel basis or on regions of interest basis. In each animal, the central five slices of the three-dimensional data set were analyzed. Regions of interests were manually tracked to cover the tumor rim; a band
2 mm wide at the periphery, on the external side of the tumor was considered as the rim. Quantitative analysis of MR images was limited to the tumor rim, due to scarce penetration of the contrast agent in the tumor core, data referred to the core are more prone to experimental errors (7). The signal in the rim was averaged and analyzed to obtain the mean kPS and fPV values in the rim of the selected slice. Images acquired with Gd-DTPA were analyzed using software programs developed in MatLab 5.2. Two regions of interest were manually selected to cover a band of
2 mm in the tumor rim, on the external side of the tumor. The average signal intensity within each region of interest was calculated at each timepoint and normalized for the signal intensity of the standard. Signal intensity values were converted to Gd concentrations using the known expression of signal intensity for a gradient echo sequence. The area under the curve (AUC) was obtained by integrating the time dependence of the Gd concentration for the first 92 seconds after Gd-DTPA injection using a trapezoidal approximation of the curve. Statistical significance of the differences between pre- and posttreatment values was assessed using paired t test at the 95% confidence intervals.
Histologic and immunocytochemical methods. Animals belonging to the group examined at MRI with Gd-DTPA albumin were sacrificed after the last MRI examination and prepared for histology. Prior to removal of the tumor, a mark was made on the overlying skin with an ink pen, perpendicular to and in the midpoint of the cranial caudal axis of the tumor. After fixation in zinc fixative for 6 hours, the tumor was cut in half exactly along the marking line and embedded in paraffin. From each of the two halves, five slices (5 µm thick) were taken. The sections obtained were in planes corresponding to those used for the MR images. Three of the five sections were stained with H&E; the remaining two were used for CD31 immunohistochemical staining of endothelial cells using a 1:800 dilution of CD31 (PharMingen, San Diego, CA; Rat A-mouse #557355) primary antibody incubated overnight. The resultant products were visualized with the 3,3'-diaminobenzidine chromogen. The primary antibody was replaced by rat nonimmune serum (DAKO, Carpinteria, CA; X0912) at the same protein concentration for negative controls.
Histologic image analysis. Sections stained with H&E showed a central necrotic area and a peripheral area with viable tumoral cells. For measuring the number of vessels, each slide was examined for four fields using a 10x objective (each field measuring 647 x 483 µm), selected in the viable area of the tumor as previously described (7). The image analysis program Image ProPlus 4.0 was used. Vessels were selected on color basis and, for each field, the number of positive objects was counted. Vessels located in the capsule and objects with area <10 µm2 were excluded. The average area of vessels was measured within the same fields as before, using a 20x objective (each field measuring 323.7 x 241.8 µm). Each vessel was manually lined and area values were collected.
| Results |
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| Discussion |
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In this study, we have shown that DCE-MRI done with macromolecular contrast agents detects the early effect of SU11248 on tumor angiogenesis as a substantial decrease in the vascular permeability in the tumor rim. Within the first 24 hours after treatment, no effect of SU11248 on fractional plasma volume is detected. The last findings is surprising because histochemistry data detects a statistically significant difference in the mean vessel density (between treated and control groups). However, several papers have already shown discrepancies between MRI and mean vessel density data. Turetschek et al. have reported no statistically significant correlation between mean vessel density and fPV measured with Gd-DTPA-albumin or other contrast agents in a chemically induced experimental model of breast cancer (9, 19, 20). Fractional plasma volume determined using Gd-DTPA-albumin (21) or ultrasmall superparamagnetic iron oxide particles (22) was not found to be different in tumors treated with an inhibitor of the vascular endothelial growth factor receptor tyrosine kinases PTK787/ZK 222584, despite a significant decrease in mean vessel density detected in treated tumors. Drevs et al. (23) have reported that MRI acquisitions detected an increase in tumor blood volume after treatment with PKT787/ZK 222584 despite a reduced number of vessels; this was explained by virtue of hemodynamic dilation of the remaining vessels. In our case, no dilation of remaining vessels was observed by histologic measurement of average vessel area, suggesting that contrast-enhanced MRI is inherently sensitive to the sole perfused and functional vessels, whereas histologic analysis is sensitive to all the anatomically distinguishable vascular structures. In our previous work on the characterization of the early efficacy of SU6668, we have observed that the decrease in fPV, monitored by DCE-MRI after a single-dose administration, was accompanied by a significant difference between control and treated groups in both mean vessel density and mean vessels area, monitored by histology (7). In the present case, the percentage decrease in the mean vessel density (30%) was inferior but comparable to that observed in the SU6668 study (40%); however, the fractional plasma volume of a particular tissue depends on both mean vessel density and mean vessel area. Thus, even if the differences in mean vessel density were comparable, the total effect on fractional plasma volume was smaller, perhaps explaining the insensitivity of MRI to these alterations observed in the present investigation.
In the present study, attention was focused on an early time point (24 hours) in order to avoid confounding effects due the tumor evolution. It is known that, as tumors grow, vascularization also frequently decreases in untreated animals (24). When looking at the effect of a specific treatment comparing vascular characteristics of treated and control animals, the alterations due to volume growth could mask the effect due to the therapy; to overcome this problem, some studies have been done comparing tumors matched by size instead of comparing tumors matched by age (24). Our previous study done with SU6668 showed that the effect on angiogenesis was detectable by DCE-MRI at early time points (24 hours), whereas later (3, 7, and 14 days) the effect was masked by different patterns of evolution of tumoral and extratumoral vascularization (7). The importance of early response to antiangiogenic drugs, as detected by DCE-MRI experiments, and the fact that it is correlated with relevant clinical end points, such as tumor response and the extent of tumor shrinkage, has also been reported in a clinical study on PTK787/ZK 222584 (15). The early effect of SU11248 on tumor vasculature was also shown by DCE-MRI techniques done with a small molecular weight contrast agent. In fact, the AUC showed a statistically significant decrease 24 hours after treatment, whereas no significant decrease was observed in the control group. Signal intensitytime curve can be analyzed quantitatively to extract vascular permeability and fractional plasma volume once the time dependence of Gd-DTPA concentration in blood is known. In the present study, we have limited the analysis to the empirical measurement of the AUC because the time dependence of Gd-DTPA in blood was not known and not easily measurable. At this point, we cannot state if the effect on AUC values is determined by a decrease in permeability to Gd-DTPA or in blood volume, although the observation that no alterations in blood volume were detected with the macromolecular contrast agent could mean that the permeability to the low molecular weight contrast agent is altered.
Early MRI findings are correlated to the classical end point of tumor size reduction at later time points; in fact, it has been reported that daily administration of 40 mg/kg of SU11248 produces a substantial regression (by 62%) of the tumor size compared with the size at the beginning of therapy in HT-29 human colon carcinoma implanted s.c. in nude mice (9).
To the best of our knowledge, this is the first report on the evaluation of antiangiogenic activity of SU11248 in vivo by DCE-MRI. Considering that DCE-MRI done with Gd-DTPA can be exported to clinics, the present findings could be relevant for the design of clinical trials based on new paradigms.
| Footnotes |
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Received 12/28/04; revised 5/ 2/05; accepted 5/16/05.
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