Abstract
Background
EBV-encoded latent membrane protein 1 (EBV-LMP1) is an important oncogenic protein for nasopharyngeal carcinoma (NPC) and has been shown to engage a plethora of signaling pathways. Correspondingly, an LMP1-targeted DNAzyme was found to inhibit the growth of NPC cells both in vivo and in vitro by suppressing cell proliferation and inducing apoptosis. However, it remains unknown whether an LMP1-targeted DNAzyme would affect the vasculature of NPC. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been applied in the clinical trials of anti-angiogenic drugs for more than ten years, and Ktrans has been recommended as a primary endpoint. Therefore, the objective of the current study was to use DCE-MRI to longitudinally study the effect of an EBV-LMP1-targeted DNAzyme on the vasculature of patients with NPC.
Methods
Twenty-four patients were randomly divided into two groups: a combined treatment group (radiotherapy + LMP1-targeted DNAzyme) and a radiotherapy alone group (radiotherapy + normal saline). DCE-MRI scans were conducted 1 ~ 2 days before radiotherapy (Pre-RT), during radiotherapy (RT 50 Gy), upon completion of radiotherapy (RT 70 Gy), and three months after radiotherapy (3 months post-RT). Parameters of vascular permeability and intra- and extravascular volumes were subsequently obtained (e.g., Ktrans, kep, ve) using nordicICE software.
Results
Both Ktrans and kep values for NPC tumor tissues decreased for both groups after treatment. Moreover, a statistically significant difference in Ktrans values at the pre-therapy and post-therapy timepoints emerged earlier for the combined treatment group (RT 50 Gy, P =0.045) compared to the radiotherapy alone group (3 months post-RT, P = 0.032). For the kep values, the downward trend observed for both the combined treatment group and the radiotherapy alone group were similar. In contrast, ve values for all of the tumor tissues increased following therapy.
Conclusions
The EBV-LMP1-targeted DNAzyme that was tested was found to accelerate the decline of Ktrans values for patients with NPC. Correspondingly, the LMP1-targeted DNAzyme treatments were found to affect the angiogenesis and microvascular permeability of NPC.
Trial registration
ClinicalTrials.gov: NCT01449942. Registered 6 October 2011.
Keywords: Nasopharyngeal neoplasm, Epstein-Barr virus encoded latent membrane protein-1, Magnetic resonance imaging, Dynamic contrast-enhanced magnetic resonance imaging, Molecular therapy, DNAzyme
Background
Nasopharyngeal carcinoma (NPC) is a common malignancy in southern China. Currently, radiation therapy is the preferred treatment for this disease. With the emergence of intensity-modulated radiation therapy (IMRT), local control rates for tumors have significantly increased [1]. However, increased radiosensitivity, reduced radiation doses, and improved quality of life for NPC patients remain active areas of research. In particular, receptor-targeted molecular therapy, as well as the identification of key genes, regulatory elements, and kinases in NPC cells, are being studied.
Epstein-Barr virus (EBV) has been implicated in the pathogenesis of NPC, and EBV-encoded latent membrane protein 1 (EBV-LMP1)) has been detected in 90% of NPC clinical samples [2]. EBV-LMP1 is an important oncogenic protein that has been shown to engage a plethora of signaling pathways that involve nuclear factor kappa B (NFκB), c-Jun N-terminal kinase (JNK), c-Jun activator protein 1 (AP1), mitogen A activated protein kinase (p38a MAPK), activating transcriptional factor (ATF), Janus kinase (JAK) signal transducers, and activators of transcription protein (STAT). Moreover, constitutive activation of these pathways appears to be central to the ability of LMP1 to induce multiple morphological and phenotypic alterations [3]. For example, EBV-LMP1 is involved in the transformation, proliferation, apoptosis, and differentiation of NPC cells, and has also exhibited a positive effect on tumor angiogenesis by directly up-regulating expression of vascular endothelial growth factor (VEGF) via the Stat 3 transcription factor [4]. Therefore, it has been hypothesized that blocking of EBV-LMP1 represents a novel targeted molecular therapy for NPC [5].
Deoxyribozymes (DNAzymes) are single-stranded DNA fragments that have been selected to have catalytic functions and ribozyme activity using in vitro molecular evolution techniques. DNAzymes have the ability to cleave RNA with high efficiency [6], and therefore, are able to inhibit gene expression at the mRNA level and regulate expression of target proteins [7, 8]. Correspondingly, DNAzymes are potentially applicable to gene inactivation strategies [9, 10]. Previously, a 33-mer oligonucleotide LMP1-targeted DNAzyme containing three phosphorothioate linkages at its 5’ and 3’ ends was developed to specifically target LMP1 mRNA [11]. Down-regulation of LMP1 expression using this LMP1-targeted DNAzyme was found to inhibit the growth of NPC cells both in vivo and in vitro by suppressing cell proliferation and inducing apoptosis [2, 12]. Moreover, in a recent study, LMP1-targeted DNAzyme was found to enhance the radiosensitivity of LMP1-positive NPC cells by inhibiting telomerase activity [13].
Conventionally, prospective, random, and well-controlled double-blind trials have been the “gold standard” for evaluating drug safety and effectiveness. Unfortunately, however, this method has also resulted in the soaring costs associated with medical innovations. Consequently, it has been proposed that biomarkers could be used to provide initial evidence regarding drug efficacy and safety. In recent years, with advances in imaging technology, imaging biomarkers have been increasingly utilized to assess drug efficacy. Furthermore, newer imaging technologies have been able to provide functional information in addition to structural information for several diseases [14].
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) uses fast T1-weighted sequences to assess changes in signal intensity before, during, and after the intravenous administration of contrast agent (CA). The dynamic contrast images obtained are then used to quantitate parameters which characterize tumor microcirculation. For example, the volume constant for the transfer of CA from the plasma to the extravascular extracellular space (e.g., Ktrans minute-1) represents an important parameter, and is primarily related to blood perfusion and microvessel permeability [15]. Over the past 10 years, DCE-MRI and extracted kinetic parameters have been applied to phase I and phase II clinical trials of anti-angiogenic drugs and vascular disrupting agents, with Ktrans generally recognized as a marker of tumor blood flow and permeability [15–17]. In addition, Ktrans has been recommended as a primary endpoint for anti-cancer treatment trials by the U.S. National Cancer Institute [18].
Although EBV LMP1 has been shown to promote tumor angiogenesis [4], it remains unknown whether an LMP1-targeted DNAzyme affects NPC vasculature. In the present study, an LMP1-targeted DNAzyme was injected locally into NPC tissues in conjunction with radical radiation therapy and DCE-MRI was used to evaluate the efficacy of this treatment for NPC patients. To the best of our knowledge, this study is the first to examine the effects of an LMP1-targeted DNAzyme using DCE-MRI in vivo.
Methods
Preparation of EBV LMP1-targeted DNAzyme
The EBV LMP1-targeted DNAzyme tested was produced by Oligos Etc, Inc. (Wilsonville, OR, USA) under Good Manufacturing Practice conditions. The efficacy, toxicity, and plasma pharmacokinetics of this LMP1-targeted DNAzyme was previously evaluated in mice prior to clinical study [2]. Based on the results of these studies, this LMP1-targeted DNAzyme was found to be safe and well-tolerated.
Patients and grouping
A total of 24 patients with histologically confirmed NPC were enrolled in this study and received treatment at the Xiangya Hospital. This cohort included 18 males and 6 females who ranged in age from 31–64 years (Table 1). Poorly differentiated squamous cell carcinoma was confirmed by biopsy in all 24 cases, while EBV-LMP1 positive expression was confirmed with immunohistochemical techniques. In addition, 17 cases involved cervical lymph node metastasis, while distant metastases were not detected in any of the cases.
Table 1.
Patient no. | Gender | Age (y) | Tumor stage | Treatment group |
---|---|---|---|---|
1 | F | 36 | II | Combined treatment |
2 | M | 44 | II | Radiotherapy alone |
3 | M | 63 | II | Combined treatment |
4 | F | 32 | III | Combined treatment |
5 | M | 56 | III | Combined treatment |
6 | F | 45 | IVa | Radiotherapy alone |
7 | M | 40 | III | Radiotherapy alone |
8 | F | 44 | IVa | Combined treatment |
9 | M | 48 | II | Combined treatment |
10 | M | 60 | III | Combined treatment |
11 | M | 64 | III | Radiotherapy alone |
12 | M | 55 | III | Combined treatment |
13 | M | 43 | IVa | Radiotherapy alone |
14 | M | 59 | II | Combined treatment |
15 | F | 56 | II | Radiotherapy alone |
16 | M | 37 | II | Combined treatment |
17 | F | 37 | II | Combined treatment |
18 | M | 41 | II | Radiotherapy alone |
19 | M | 52 | II | Combined treatment |
20 | M | 41 | II | Radiotherapy alone |
21 | M | 31 | II | Combined treatment |
22 | M | 51 | II | Combined treatment |
23 | M | 52 | II | Radiotherapy alone |
24 | M | 62 | II | Radiotherapy alone |
Protocol design
Twenty-four patients were randomly and double-blindly divided into two groups: a combined treatment group (n = 14) or a radiotherapy alone group (n =10) (Table 1). The randomization of patients was not ideal since six patients (1 in the combined treatment group and 5 in the radiotherapy alone group) rejected DCE-MRI. For both treatment groups, a Varian 2100C/D linear accelerator was used for radiotherapy.
The combined treatment group received radiotherapy plus an injection of the LMP1-targeted DNAzyme in saline (6 mg/0.1 ml) into each tumor. Regarding the latter, patients received local anesthesia and an epical endoscope was used to guide the injections. The injections were performed twice a week for five weeks, resulting in a total volume of 1 ml LMP1-targeted DNAzyme administered to each tumor. For radiotherapy, a 2 Gy dose was administered five times a week for seven weeks, resulting in a total dose of 70 Gy.
For the radiotherapy alone group, the program and dose of radiotherapy were the same as that described for the combined treatment group. In addition, the patients received local anesthesia for injections of saline (0.1 ml each) that were administered using an epical endoscope. Injections were performed twice a week for five weeks, resulting in a total volume of 1 ml saline administered to each tumor.
This study was conducted in accordance with the International Conference on Harmonization-Good Clinical Practice. Approval for this study was obtained from the Human Ethics Committee of the Xiangya Hospital, Central South University, and written consent was obtained from each participant. Approval was also obtained from the Ministry of Science and Technology.
MRI protocol
All patients underwent conventional MRI and DCE-MRI scans 1 ~ 2 days prior to the start of radiotherapy (Pre-RT). Subsequent scans were performed during the radiotherapy treatment period after a radiation dose of 50 Gy had been achieved (RT 50 Gy), at the end of radiotherapy when a total radiation dose of 70 Gy had been applied (RT 70 Gy), and three months after radiotherapy (3 months post-RT). MRI was performed using a 1.5 T system (MAGNETOM Sonata, Siemens, Erlangen, Germany).
Conventional MRI
Unenhanced axial T1-weighted (repetition time/echo time [TR/TE] 450/10 ms, field of view [FOV] 230 × 230 mm, section thickness 5 mm, intersection gap 1.5 mm, 19 sections) and axial T2-weighted (TR/TE 4200/98 ms) images were obtained. Contrast-enhanced and fat-suppression T1-weighted images (TR/TE 450/10) were obtained following the DCE-MRI scans.
DCE-MRI
DCE-MRI was acquired using a TurboFLASH sequence before, during, and after an intravenous injection of CA was made. Ten axial sections were selected from throughout the tumor on the basis of T2-weighted imaging. Parameters were as follows: TR/TE 199 ms/1.05 ms, inverse time 100 ms, FOV 260 mm × 210 mm, matrix 128 × 96, flip angle 20°, section thickness 6 mm, intersection gap 1.2 mm, time resolution 4 s. A series of 90 multisection sets were acquired in 360 s. At the end of the sixth acquisition, a standard dose (0.2 mmol/kg body weight) bolus of CA (Magnevist, Bayer Schering Pharma AG, Berlin, Germany) was injected via the antecubital vein at a rate of 4 ml/s using a CA power injector (OptiStarTM LE, Mallinckrodt), followed by a 20 ml bolus of saline at a rate of 4 ml/s.
Image postprocessing
The original DCE-MRI data were transferred to an independent workstation and processed using a nordicICE software package (Nordic Image Control and Evaluation Version 2.3.6; Nordic Imaging Lab, Bergen, Norway). First, the arterial input function (AIF) was automatically obtained from a region of interest (ROI) drawn on the internal carotid artery located in close proximity to the tumor. Secondly, based on Tofts-kermode two compartment kinetic modeling theory [19], deconvolution of the tissue response curves (dynamic curves for all pixels) was performed using the AIF according to Keunen [20]. Qualitative, as well as quantitative, maps of several parameters (including Ktrans, kep, ve) related to vascular permeability and intra- and extravascular volumes were subsequently obtained. To calculate the Ktrans for each tumor, a ROI (with a diameter of 9-10 pixels, or 60-70 mm2) was placed on the tumor parenchyma where the Ktrans value was the highest. For the same ROI, the other parameters were calculated. Ktrans represents the rate constant for the transfer of CA from plasma to the extravascular extracellular space (EES). In addition, kep is the rate constant for the transfer of CA from EES to plasma, and ve is the CA distribution volume. These parameters are related as follows: ve = (Ktrans/kep).
Safety evaluation
Adverse events were reviewed at each patient visit. Blood samples were also collected from patients prior to radiotherapy, during radiotherapy (after 50 Gy), and three months after radiotherapy. Analyses of blood chemistry, as well as liver and renal function, were evaluated. Impairment of the skin, mucous membranes, and salivary gland are common characteristics of radiation therapy, and their incidence was analyzed using the Wilcoxon rank sum test.
Statistical analysis
All data are expressed as the mean ± standard deviation (SD), and confidence intervals are included in the figures. Using Student’s t-test, values between the different groups were compared. In addition, the values at various timepoints were compared for the same group using the Student-Newman-Keuls (SNK)-q test. A P-value less than 0.05 was considered statistically significant. Statistical analyses were performed using SPSS (version 17.0; SPSS Inc., Chicago, IL, USA).
Results
To validate whether DCE-MRI can monitor the therapeutic efficacy of this treatment approach for NPC patients, parameters of vascular permeability and intra- and extravascular volumes were subsequently obtained (including Ktrans, kep, ve). Prior to radiotherapy, there were no statistically significant differences in the Ktrans for the tumor tissues of the combined treatment group versus the tumor tissues of the radiotherapy alone group (t-test, P =0.175). However, for both groups, the 95% confidence interval (CI) of the Ktrans values declined gradually from the Pre-RT timepoint to the 3 months post-RT timepoint (Figure 1A). Moreover, for the combined treatment group, statistically significant differences in the Ktrans values were observed between the Pre-RT timepoint and the RT (50 Gy), RT (70 Gy), and 3 months post-RT timepoints. In particular, the latter values were lower than the Ktrans value for the Pre-RT timepoint. In contrast, the radiotherapy alone group exhibited no significant differences in the Ktrans values between the Pre-RT and the RT (50 Gy) and RT (70 Gy) timepoints. However, there was a statistically significant difference between the Ktrans values for the Pre-RT and 3 months post-RT timepoints for the radiotherapy alone group (Table 2). Representative Ktrans maps are shown in Figures 2 and 3.
Table 2.
Timepoints | Combined treatment group | Radiotherapy alone group | ||||
---|---|---|---|---|---|---|
n | Mean ± SD | P-value | n | Mean ± SD | P-value | |
Pre-RT | 14 | 0.2048 ± 0.0606 | 10 | 0.1693 ± 0.0619 | ||
RT (50 Gy) | 12 | 0.1573 ± 0.0605 | 0.045* | 10 | 0.1652 ± 0.0518 | 0.8231* |
RT (70 Gy) | 14 | 0.1382 ± 0.0671 | 0.004** | 9 | 0.1414 ± 0.0363 | 0.4262** |
3 months post-RT | 12 | 0.0862 ± 0.0413 | 0.000*** | 9 | 0.1096 ± 0.0424 | 0.0323*** |
Comparison of K trans values for the Pre-RT, RT (50 Gy), RT (70 Gy), and three months post-RT timepoints for the combined treatment group and the radiotherapy alone group.
*Comparison between Pre-RT and RT (50 Gy); **Comparison between Pre-RT and RT (70 Gy); ***Comparison between Pre-RT and 3 months post-RT.
There were no statistically significant differences in the kep values for tumor tissues between the combined treatment group and the radiotherapy alone group before radiotherapy (t-test, P =0.770). However, for both groups, the kep values gradually declined following therapy. The 95% CI for the kep values are shown in Figure 1B. When kep values were compared for the four timepoints, statistically significant differences were observed between the Pre-RT timepoint and the RT (50 Gy), RT (70 Gy), and 3 months post-RT timepoints for the combined treatment group, and the radiotherapy alone group. In particular, the latter values were lower than the kep value for the Pre-RT timepoint (Table 3). Representative kep maps are shown in Figures 2 and 3.
Table 3.
Timepoints | Combined treatment group | Radiotherapy alone group | ||||
---|---|---|---|---|---|---|
n | Mean ± SD | P-value | n | Mean ± SD | P-value | |
Pre-RT | 14 | 0.8550 ± 0.2978 | 10 | 0.8163 ± 0.3398 | ||
RT (50 Gy) | 12 | 0.51672 ± 0.2845 | 0.004* | 10 | 0.5688 ± 0.2337 | 0.027* |
RT (70 Gy) | 14 | 0.5332 ± 0.3347 | 0.003** | 9 | 0.4644 ± 0.1087 | 0.003** |
3 months post-RT | 12 | 0.3216 ± 0.1339 | 0.000*** | 9 | 0.3703 ± 0.2051 | 0.000*** |
Comparison of k ep values for the Pre-RT, RT (50 Gy), RT (70 Gy), and three months post-RT timepoints for the combined treatment group and the radiotherapy alone group. *Comparison between Pre-RT and RT (50 Gy); **Comparison between Pre-RT and RT (70 Gy); ***Comparison between Pre-RT and 3 months post-RT.
Statistically significant differences were observed between the ve values for the Pre-RT timepoint and the RT (50 Gy), RT (70 Gy), and 3 months post-RT timepoints for all tumor tissues. Furthermore, the latter values were higher than the ve value for the Pre-RT timepoint (Table 4).
Table 4.
Timepoints | n | v e | |
---|---|---|---|
Mean ± SD | P-value | ||
Pre-RT | 24 | 0.2359 ± 0.0754 | |
RT (50 Gy) | 22 | 0.3316 ± 0.1360 | 0.009* |
RT (70 Gy) | 23 | 0.3195 ± 0.1327 | 0.020** |
3 months post-RT | 21 | 0.3138 ± 0.1316 | 0.033*** |
*Comparison between Pre-RT and RT (50 Gy); **Comparison between Pre-RT and RT (70 Gy); ***Comparison between Pre-RT and 3 months post-RT.
Conventional MRI was performed for all of the participants and was accompanied by DCE-MRI. Enhancement of the tumor parenchyma was observed in both contrast-enhanced and fat-suppression T1-weighted images. The majority of the tumor lesions exhibited a reduction in tumor volume rapidly after treatment. Moreover, two lesions in the combined treatment group and one lesion in the radiotherapy alone group disappeared completely three months after the patients received radiotherapy. Tumor volumes were measured from contrast-enhanced and fat-suppression T1-weighted images by two specialists (an oncologist and a radiologist) using the Varian Eclipse program (Soma Vision). For the combined treatment group, the mean tumor shrink rate 3 months post-RT was significantly higher than that for the radiotherapy alone group (97.78 ± 5.81% and 87.78 ± 15.20%, respectively; P = 0.038).
There were no adverse events that could be attributed to LMP1-targeted DNAzyme injections. Furthermore, analyses of white blood cell number, hemoglobin concentration, platelet number, and lymphocyte cell number showed no significant differences between the combined treatment group and the radiotherapy alone group. There were also no significant differences in liver or renal function, or in impairment of skin, mucous membranes, or salivary gland, between the two treatment groups.
Discussion
Studies have shown that DCE-MRI can be used to monitor the efficacy of various treatments and to predict response to treatment. In particular, this has been demonstrated for neoadjuvant chemotherapy and radiation therapy for bladder cancer, breast cancer, and osteosarcomas [21, 22]. Over the past 10 years, studies have also shown that DCE-MRI and extracted kinetic parameters can be used as an in vivo cancer imaging tool for the diagnosis, monitoring of treatment effect, and evaluation of anti-cancer drugs. Correspondingly, this method has been applied to phase I and phase II clinical trials of anti-angiogenic drugs and vascular disrupting agents [23, 24]. In particular, Ktrans is currently recognized as a general marker of tumor blood flow [15–17], and has been recommended as a primary endpoint for an anti-cancer treatment trial conducted by the U.S. National Cancer Institute [18]. DCE-MRI has been widely used in the development of anti-angiogenic drugs, and has detected the efficacy of drugs earlier than conventionally observed changes in tumor volume. This is particularly beneficial for the selection of individualized patient treatment plans for patients that are diagnosed in the early stages of disease [25]. In a summary by O'Connor et al. describing their experience with DCE-MRI for the early clinical development of vascular-directed anticancer therapies over the past decade, they demonstrated that perfusion imaging provides unique information regarding the vascular properties of tumors, and for tumor responses to antiangiogenic agents and VDAs in pre-clinical and early clinical studies [15]. DCE-MRI has also been used as a biomarker for certain chemotherapy drugs in order to separate the biological effects of chemotherapy from those related to angiogenesis inhibitors [26].
To investigate the effects of an EBV LMP1-targeted DNAzyme on NPC vasculature in the present study, two methods were compared (e.g., radiation therapy in combination with a LMP1-targeted DNAzyme and radiation therapy alone) using DCE-MRI. It was observed that the Ktrans values for NPC tumor tissues decreased for both treatment groups over the course of treatment. Ktrans is a factor that accounts for the complex functions of blood flow, endothelial surface area, and endothelial permeability. However, it can also have multiple physiologic interpretations depending on the balance between capillary permeability and blood flow in a tissue. In high-permeability situations (where flux across the endothelium is flow limited), Ktrans is equal to the blood plasma flow per unit volume of tissue. Conversely, for low permeability conditions where tracer flux is permeability limited, the Ktrans value is equal to the permeability surface area product per unit volume of tissue [19]. NPC tumor tissues are characterized by extensive angiogenesis, an incomplete vascular basement membrane, and high permeability. Thus, NPC tumor tissues exhibit high permeability conditions, with leakage of CA to the EES being rapid and of great quantity. Accordingly, the Ktrans value for NPC tissue is very high. In contrast, muscle tissue, fibrous tissue, normal brain tissue, and tumor tissues in the late stages of chemotherapy or radiation therapy are characterized by low permeability. The Ktrans value for these tissue types is dependent on cross-vessel wall transport, and it is significantly lower than the Ktrans value for tumor tissues [27, 28]. Swelling, degeneration, and necrosis of tumor capillary walls, as well as narrowing of vessel lumen and thrombosis due to radiotherapy, also contribute to decreased permeability and reduced perfusion, thereby resulting in a lower Ktrans value. Many studies have reported on the prognostic value of Ktrans and other DCE-MRI parameters in assessing the response to radiotherapy, which, however, demonstrated contrary findings. Longitudinal study and repeated DCE-MRI may reduce these discrepancies, and be recommended [29].
A decrease in the Ktrans values for the NPC tumor tissues was observed significantly earlier (e.g., at the RT 50 Gy timepoint) in the combined treatment group than in the radiotherapy alone group (3 months post-RT). These results suggest that LMP1-targeted DNAzymes accelerate the decline of the Ktrans value for NPC. It has previously been shown that EBV LMP1 promotes tumor angiogenesis by up-regulating VEGF expression via activation of Stat 3 transcriptional factor [3]. Although the relationship between DCE-MRI and VEGF remains unclear, a positive correlation between levels of soluble vascular endothelial growth factor recptor-1 (sVEGFR-1) and sVEGFR-2 in plasma and Ktrans for patients with advanced ovarian cancer were observed in a previous study [30]. Taken together, these observations suggest that LMP1-targeted DNAzyme treatment affects the angiogenesis and microvascular permeability of NPC, and this can be proved with further pathology and molecular biology studies of NPC.
In cancer treatment trials, kep and ve values have been recommended as secondary endpoints [31]. In the present study, tumor tissues of both the combined treatment group and the radiotherapy alone group had kep values that declined following therapy due to the slower transfer of CA from the EES to plasma as a result of decreased permeability. This similar trend in kep values for both groups suggests that the decrease is mainly related to the radiation treatments. In contrast, ve values for all of the tumor tissues increased following radiotherapy, and this is consistent with an increase in EES secondary to the loss of tumor cells with radiation exposure. Moreover, continuous accumulation of CA in the EES is consistent with a slower transfer of CA from EES to plasma post-therapy [31, 32].
There were limitations associated with the present study. First, since surgery is not the preferred treatment for NPC, a comparison of pathology and DCE-MRI was not conducted. Secondly, the majority of the tumor lesions examined exhibited reduced tumor volume and disappeared quickly following treatment. Consequently, there was a lack of DCE-MRI data after the first year following treatment. Lastly, the parameters examined were based on the use of a tracer-kinetic model, which assumes that transcytolemmal water exchange contributes negligibly to changes in signal intensity [33]. Therefore, the amount of CA in tissues could be overestimated.
Conclusions
The use of an EBV LMP1-targeted DNAzyme was found to accelerate the decline of Ktrans values for NPC tissues, thereby suggesting that this DNAzyme affects the angiogenesis and microvascular permeability of NPC in vivo.
Acknowledgements
This study received funding from the National Natural Science Foundation of China (No.81072220, No.81000596), from the National High Technology R & D Program of China (2009AA02Z403), from the Postdoctoral Science Foundation of China (No. 2013 M531815), from the National Basic Research Program of China (No. 2011CB504300), and from the National High Technology R&D Program of China (No. 2012AA02A501).
Abbreviations
- DCE-MRI
Dynamic contrast-enhanced magnetic resonance imaging
- LMP1
Latent membrane protein 1
- DNAzymes
Deoxyribozymes
- NPC
Nasopharyngeal carcinoma
- Pre-RT
1 ~ 2 days before radiotherapy
- RT 50Gy
When a radiation dose of 50 Gy was achieved
- RT 70Gy
When a radiation dose of 70 Gy was achieved
- 3 months post-RT
3 months after radiotherapy
- AIF
Arterial input function
- ROI
Region of interest
- EES
Extravascular extracellular space
- CA
Contrast agent
- Ktrans
The volume constant for the transfer of contrast from plasma to the extravascular extracellular space
- kep
The rate constant for the transfer of CA from the EES to plasma
- ve
CA distribution volume.
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’contributions
All authors participated in the design of this project. W-HL performed MRI image acquisition and postprocessing, statistical analyses, and drafted the manuscript. L-FY prepared the EBV-LMP1-targeted DNAzyme. X-YL assisted with MRI image acquisition. G-FZ assisted with the MRI protocol. W-ZJ assigned the patients to their groups and performed the safety evaluations. B-LH assisted with MRI image postprocessing. L-QS conceived of the study. YC also conceived of the study, and coordinated the project. X-YW assisted with the design of the study and was involved in writing the manuscript. All authors have read and approved the final manuscript.
Contributor Information
Wei-Hua Liao, Email: ouwenliao@163.com.
Li-Fang Yang, Email: yanglifang99@hotmail.com.
Xiao-Yu Liu, Email: lxy9827@qq.com.
Gao-Feng Zhou, Email: peak.zh@163.com.
Wu-Zhong Jiang, Email: 13973126486@189.cn.
Bob-Lei Hou, Email: bhou@hsc.wvu.edu.
Lun-Quan Sun, Email: lunquansun@csu.edu.cn.
Ya Cao, Email: ycao98@vip.sina.com.
Xiao-Yi Wang, Email: 185223273@qq.com.
References
- 1.Lee N, Harris J, Garden AS, Straube W, Glisson B, Xia P, Bosch W, Morrison WH, Quivey J, Thorstad W, Jones C, Ang KK. Intensity-modulated radiation therapy with or without chemotherapy for nasopharyngeal carcinoma: radiation therapy oncology group phaseIItrial 0225. J Clin Oncol. 2009;27(22):3684–3690. doi: 10.1200/JCO.2008.19.9109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lu ZX, Ma XQ, Yang LF, Wang ZL, Zeng L, Li ZJ, Li XN, Tang M, Yi W, Gong JP, Sun LQ, Cao Y. DNAzymes targeted to EBV-encoded latent membrane protein-1 induce apoptosis and enhance radiosensitivity in nasopharyngeal carcinoma. Cancer Lett. 2008;265(2):226–238. doi: 10.1016/j.canlet.2008.02.019. [DOI] [PubMed] [Google Scholar]
- 3.Morris MA, Dawson CW, Young LS. Role of the Epstein-Barr virus-encoded latent membrane protein-1, LMP1, in the pathogenesis of nasopharyngeal carcinoma. Future Oncol. 2009;5(6):811–825. doi: 10.2217/fon.09.53. [DOI] [PubMed] [Google Scholar]
- 4.Wang Z, Luo F, Li L, Yang L, Hu D, Ma X, Lu Z, Sun L, Cao Y. STAT3 activation induced by Epstein-Barr virus latent membrane protein1 causes vascular endothelial growth factor expression and cellular invasiveness via JAK3 And ERK signaling. Eur J Cancer. 2010;46(16):2996–3006. doi: 10.1016/j.ejca.2010.07.008. [DOI] [PubMed] [Google Scholar]
- 5.Yoshizaki T, Ito M, Murono S, Wakisaka N, Kondo S, Endo K. Current understanding and management of nasopharyngeal carcinoma. Auris Nasus Larynx. 2012;39(2):137–144. doi: 10.1016/j.anl.2011.02.012. [DOI] [PubMed] [Google Scholar]
- 6.Cairns MJ, Hopkins TM, Witherington C, Wang L, Sun LQ. Target site selection for an RNA-cleaving catalytic DNA. Nat Biotechnol. 1999;17(5):480–486. doi: 10.1038/8658. [DOI] [PubMed] [Google Scholar]
- 7.Banm DA, Silverman SK. Deoxyribozymes: useful DNA catalysts in vitro and in vivo. Cell Mol Life Sci. 2008;65(14):2156–2174. doi: 10.1007/s00018-008-8029-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Silverman SK. Catalytic DNA (deoxyribozymes) for synthetie applications-current abilities and future prospects. Chem Commun. 2008;14(30):3467–3485. doi: 10.1039/b807292m. [DOI] [PubMed] [Google Scholar]
- 9.Zhang L, Yang L, Li JJ, Sun L. Potential use of nucleic acid-based agents in the sensitization of nasopharyngeal carcinoma to radiotherapy. Cancer Lett. 2012;323(1):1–10. doi: 10.1016/j.canlet.2012.03.030. [DOI] [PubMed] [Google Scholar]
- 10.Bhindi R, Fahmy RG, Lowe HC, Chesterman CN, Dass CR, Cairns MJ, Saravolac EG, Sun LQ, Khachigian LM. Brothers in arms: DNA enzymes, short interfering RNA, and the emerging wave of small-molecule nucleic acid-based gene-silencing strategies. Am J Pathol. 2007;171(4):1079–1088. doi: 10.2353/ajpath.2007.070120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Lu ZX, Ye M, Yan GR, Li Q, Tang M, Lee LM, Sun LQ, Cao Y. Effect of EBV LMP1 targeted DNAzymes on cell proliferation and apoptosis. Cancer Gene Ther. 2005;12(7):647–654. doi: 10.1038/sj.cgt.7700833. [DOI] [PubMed] [Google Scholar]
- 12.Ke X, Yang YC, Hong SL. EBV-LMP1-targeted DNAzyme restrains nasopharyngeal carcinoma growth in a mouse C666-1 xenograft model. Med Oncol. 2011;Suppl 1:S326–S332. doi: 10.1007/s12032-010-9681-2. [DOI] [PubMed] [Google Scholar]
- 13.Yang L, Xu Z, Liu L, Luo X, Lu J, Sun L, Cao Y. Targeting EBV-LMP1 DNAzyme enhances radiosensitivity of nasopharyngeal carcinoma cells by inhibiting telomerase activity. Cancer Biol Ther. 2014;15(1):61–68. doi: 10.4161/cbt.26606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Murphy PS, McCarthy TJ, Dzik-Jurasz AS. The role of clinical imaging in oncological drug development. Br J Radiol. 2008;81(969):685–692. doi: 10.1259/bjr/16768437. [DOI] [PubMed] [Google Scholar]
- 15.O'Connor JP, Jackson A, Parker GJ, Roberts C, Jayson GC. Dynamic contrast-enhanced MRI in clinical trials of antivascular therapies. Nat Rev Clin Oncol. 2012;9(3):167–177. doi: 10.1038/nrclinonc.2012.2. [DOI] [PubMed] [Google Scholar]
- 16.Jackson A, O'Connor JP, Parker GJ, Jayson GC. Imaging tumor vascular heterogeneity and angiogenesis using dynamic contrast-enhanced magnetic resonance imaging. Clin Cancer Res. 2007;13(12):3449–3459. doi: 10.1158/1078-0432.CCR-07-0238. [DOI] [PubMed] [Google Scholar]
- 17.O'Connor JP, Jackson A, Parker GJ, Jayson GC. DCE-MRI biomarkers in the clinical evaluation of antiangiogenic and vascular disrupting agents. Br J Cancer. 2007;96(2):189–195. doi: 10.1038/sj.bjc.6603515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.NCI, CIP: MR Workshop on translational research in cancer recommendations for MR measurement methods at 1.5-Tesla and endpoints for use in phase 1/2a trials of anti-cancer therapeutics affecting tumor vascular function. [http://imaging.cancer.gov/images/documents]
- 19.Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging. 1999;10(3):223–232. doi: 10.1002/(SICI)1522-2586(199909)10:3<223::AID-JMRI2>3.0.CO;2-S. [DOI] [PubMed] [Google Scholar]
- 20.Keunen O, Johansson M, Oudin A, Sanzey M, Rahim SA, Fack F, Thorsen F, Taxt T, Bartos M, Jirik R, Miletic H, Wang J, Stieber D, Stuhr L, Moen I, Rygh CB, Bjerkvig R, Niclou SP. Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma. Proc Natl Acad Sci. 2011;108(9):3749–3754. doi: 10.1073/pnas.1014480108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Barentsz JO, Berger-Hartog O, Witjes JA, Hulsbergen-van der Kaa C, Oosterhof GO, VanderLaak JA, Kondacki H, Ruijs SH. Evaluation of chemotherapy in advanced urinary bladder cancer with fast dynamic contrast-enhanced MR imaging. Radiology. 1998;207(3):791–797. doi: 10.1148/radiology.207.3.9609906. [DOI] [PubMed] [Google Scholar]
- 22.Reddick WE, Taylor JS, Fletcher BD. Dynamic MR imaging (DEMRI) of microcirculation in bone sarcoma. J Magn Reson Imaging. 1999;10(3):277–285. doi: 10.1002/(SICI)1522-2586(199909)10:3<277::AID-JMRI8>3.0.CO;2-S. [DOI] [PubMed] [Google Scholar]
- 23.LoRusso PM, Gadgeel SM, Wozniak A, Barge AJ, Jones HK, DelProposto ZS, DeLuca PA, Evelhoch JL, Boerner SA, Wheeler C. Phase I clinical evaluation of ZD6126, a novel vascular-targeting agent, in patients with solid tumors. Invest New Drugs. 2008;26(2):159–167. doi: 10.1007/s10637-008-9112-9. [DOI] [PubMed] [Google Scholar]
- 24.Mitchell CL, O'Connor JP, Roberts C, Watson Y, Jackson A, Cheung S, Evans J, Spicer J, Harris A, Kelly C, Rudman S, Middleton M, Fielding A, Tessier J, Young H, Parker GJ, Jayson GC. A two-part phase II study of cediranib in patients with advanced solid tumours: the effect of food on single-dose pharmacokinetics and an evaluation of safety, efficacy and imaging pharmacodynamics. Cancer Chemother Pharmacol. 2011;68(3):631–641. doi: 10.1007/s00280-010-1534-3. [DOI] [PubMed] [Google Scholar]
- 25.Mross K, Drevs J, Müller M, Medinger M, Marmé D, Hennig J, Morgan B, Lebwohl D, Masson E, Ho YY, Günther C, Laurent D, Unger C. Phase I clinical and pharmacokinetic study of PTK/ZK, a multiple VEGF receptor inhibitor, in patients with liver metastases from solid tumours. Eur J Cancer. 2005;41(9):1291–1299. doi: 10.1016/j.ejca.2005.03.005. [DOI] [PubMed] [Google Scholar]
- 26.Baar J, Silverman P, Lyons J, Fu P, Abdul-Karim F, Ziats N, Wasman J, Hartman P, Jesberger J, Dumadag L, Hohler E, Leeming R, Shenk R, Chen H, McCrae K, Dowlati A, Remick SC, Overmoyer B. A vasculature-targeting regimen of preoperative docetaxel with or without bevacizumab for locally advanced breast cancer: impact on angiogenic biomarkers. Clin Cancer Res. 2009;15(10):3583–3590. doi: 10.1158/1078-0432.CCR-08-2917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wilkinson ID, Jellineck DA, Levy D, Giesel FL, Romanowski CA, Miller BA, Griffiths PD. Dexamethasone and enhancing solitary cerebral mass lesions: alterations in perfusion and blood-tumor barrier kinetics shown by magnetic resonance imaging. Neurosurgery. 2006;58(4):640–646. doi: 10.1227/01.NEU.0000204873.68395.A0. [DOI] [PubMed] [Google Scholar]
- 28.O'Connor JP, Carano RA, Clamp AR, Ross J, Ho CC, Jackson A, Parker GJ, Rose CJ, Peale FV, Friesenhahn M, Mitchell CL, Watson Y, Roberts C, Hope L, Cheung S, Reslan HB, Go MA, Pacheco GJ, Wu X, Cao TC, Ross S, Buonaccorsi GA, Davies K, Hasan J, Thornton P, del Puerto O, Ferrara N, van Bruggen N, Jayson GC. Quantifying antivascular effects of monoclonal antibodies to vascular endothelial growth factor: insights from imaging. Clin Cancer Res. 2009;15(21):6674–6682. doi: 10.1158/1078-0432.CCR-09-0731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zahra MA, Hollingsworth KG, Sala E, Lomas DJ, Tan LT. Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy. Lancet Oncol. 2007;8(1):63–74. doi: 10.1016/S1470-2045(06)71012-9. [DOI] [PubMed] [Google Scholar]
- 30.Mitchell CL, O'Connor JP, Jackson A, Parker GJ, Roberts C, Watson Y, Cheung S, Davies K, Buonaccorsi GA, Clamp AR, Hasan J, Byrd L, Backen A, Dive C, Jayson GC. Identification of early predictive imaging biomarkers and their relationship to serological angiogenic markers in patients with ovarian cancer with residual disease following cytotoxic therapy. Ann Oncol. 2010;21(10):1982–1989. doi: 10.1093/annonc/mdq079. [DOI] [PubMed] [Google Scholar]
- 31.Leach MO, Brindle KM, Evelhoch JL, Griffiths JR, Horsman MR, Jackson A, Jayson GC, Judson IR, Knopp MV, Maxwell RJ, McIntyre D, Padhani AR, Price P, Rathbone R, Rustin GJ, Tofts PS, Tozer GM, Vennart W, Waterton JC, Williams SR, Workman P, Pharmacodynamic/Pharmacokinetic Technologies Advisory Committee, Drug Development Office, Cancer Research UK The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations. Br J Cancer. 2005;92(9):1599–1610. doi: 10.1038/sj.bjc.6602550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Juan CJ, Chen CY, Jen YM, Liu HS, Liu YJ, Hsueh CJ, Wang CY, Chou YC, Chai YT, Huang GS, Chung HW. Perfusion characteristics of late radiation injury ofparotid glands: quantitative evaluation with dynamic contrast-enhanced MRI. Eur Radiol. 2009;19(1):94–102. doi: 10.1007/s00330-008-1104-9. [DOI] [PubMed] [Google Scholar]
- 33.Buckley DL. Transcytolemmal water exchange and its affect on the determination of contrast agent concentration in vivo. Magn Reson Med. 2002;47(2):420–424. doi: 10.1002/mrm.10098. [DOI] [PubMed] [Google Scholar]
Pre-publication history
- The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2407/14/835/prepub