Theranostics 2011; 1:302-309. doi:10.7150/thno/v01p0302

Research Paper

Multimodality Imaging of Tumor Response to Doxil

Fan Zhang1, 2, Lei Zhu1, Gang Liu1, Naoki Hida1, Guangming Lu2, Henry S. Eden3, Gang Niu1, 4 Corresponding address, Xiaoyuan Chen1 Corresponding address

1. Laboratory of Molecular Imaging and Nanomedicine (LOMIN), National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA
2. Department of Radiology, Nanjing Jinling Hospital, Clinical School of the Medical College of Nanjing University, Nanjing 210002, China
3. Intramural Research Program, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, 20892, USA
4. Imaging Sciences Training Program, Radiology and Imaging Sciences, Clinical Center and National Institute of Biomedical Imaging and Bioengineering, NIH, 20892, USA

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How to cite this article:
Zhang F, Zhu L, Liu G, Hida N, Lu G, Eden HS, Niu G, Chen X. Multimodality Imaging of Tumor Response to Doxil. Theranostics 2011; 1:302-309. doi:10.7150/thno/v01p0302. Available from http://www.thno.org/v01p0302.htm

Abstract

Purpose: Early assessment of tumor responses to chemotherapy could enhance treatment outcomes by ensuring that, from the beginning, treatments meet the individualized needs of patients. In this study, we applied multiple modality molecular imaging techniques to pre-clinical monitoring of early tumor responses to Doxil, focusing on imaging of apoptosis.

Methods: Mice bearing UM-SCC-22B human head and neck squamous cancer tumors received either PBS or 1 to 2 doses of Doxil® (doxorubicin HCl liposome injection) (10 mg/kg/dose). Bioluminescence signals from an apoptosis-responsive reporter gene were captured for apoptosis evaluation. Tumor metabolism and proliferation were assessed by 18F-FDG and 3'-18F-fluoro-3'-deoxythymidine (18F-FLT) positron emission tomography. Diffusion-weighted magnetic resonance imaging (DW-MRI) was performed to calculate averaged apparent diffusion coefficients (ADCs) for the whole tumor volume. After imaging, tumor samples were collected for histological evaluation, including terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL), anti-CD31, and Ki-67 immunostaining.

Results: Two doses of Doxil significantly inhibited tumor growth. Bioluminescence imaging (BLI) indicated apoptosis of tumor cells after just 1 dose of Doxil treatment, before apparent tumor shrinkage. 18F-FDG and 18F-FLT PET imaging identified decreased tumor metabolism and proliferation at later time points than those at which BLI indicated apoptosis. MRI measurements of ADC altered in response to Doxil, but only after tumors were treated with 2 doses. Decreased tumor proliferation and increased apoptotic cells were confirmed by changes of Ki-67 index and apoptotic ratio.

Conclusion: Our study of tumor responses to different doses of Doxil demonstrated that it is essential to combine apoptosis imaging strategies with imaging of other critical biological or pathological pathways, such as metabolism and proliferation, to improve clinical decision making in apoptosis-related diseases and interventions.

Keywords: Multimodality Imaging, Doxil, Cancer Therapy, Response Monitoring, Apoptosis

Introduction

It is well known that most chemotherapeutic agents cause tumor cell death primarily by induction of apoptosis, and resistance to anticancer treatment is widely believed to involve mutations that lead to deregulated cellular proliferation and suppression of mechanisms that enable apoptosis [1]. The anthracycline antibiotic doxorubicin, originally isolated from the fungus Streptomyces peucetius, is a chemotherapeutic agent with strong activity against a wide range of human malignant neoplasms [2]. So far, the exact action mechanism of doxorubicin is unknown, but is believed to be related to several pathways. First, doxorubicin intercalates between adjacent DNA base pairs, which may prevent DNA replication and transcription. Second, the drug-associated complex further leads to inhibition of the catalytic activity of topoisomerase II [3]. At higher concentrations, however, this inhibition may be reversed [4]. Third, doxorubicin can form free radicals, capable of damaging cancer cells. However, the importance of such free radical damage in killing tumor cells by doxorubicin is still unclear [5].

Apart from side-effects that are common to many cancer chemotherapeutics, the clinical usefulness of doxorubicin is limited largely by a cumulative dose-related cardiomyopathy that manifests itself as congestive heart failure [2]. Doxil is a doxorubicin formulation in which the drug is encapsulated in stealth liposomes that can avoid clearance by the reticuloendothelial system [6]. As a result, Doxil has a long circulation time, and it selectively extravasates through the abnormally permeable vessels characteristic of many tumors [7]. Human and animal studies demonstrate that Doxil achieves higher concentrations than doxorubicin in tumor tissue, relative to serum concentrations [8].

In this study, we genetically engineered UM-SCC-22B human head and neck squamous cancer cells with cyclic luciferase, an endogenous apoptosis marker. We applied multiple imaging strategies to monitor tumor responses to Doxil in 22B xenograft mice, including bioluminescence imaging (BLI) and diffusion-weighted magnetic resonance imaging (DW-MRI). In addition, we performed PET imaging with 18F-FDG to monitor tumor glucose metabolism and 18F-FLT to monitor tumor proliferation.

Materials and Methods

Cell line and animal model

pcFluc-DEVD plasmid was generously provided by Dr. T. Ozawa (Department of Chemistry, School of Science, The University of Tokyo; Japan Science and Technology Agency, Tokyo, Japan). UM-SCC-22B human head and neck squamous cells were cultured in Dulbecco's modified medium supplemented with 10% (v/v) heat-inactivated FBS, 100 unit/mL penicillin, and 100 μg/mL streptomycin at 37°C in an atmosphere of 5% (v/v) CO2. Cells were seeded onto 6-well culture plates, transfected with pcFluc-DEVD plasmid in the presence of Lipofectamine 2000. A single clone of stably-transfected cells, denoted 22B-cFluc-DEVD, was selected by the addition of G418 (Sigma) to the culture medium for two weeks.

Six-week old female athymic mice were obtained from the NIH Division of Veterinary Resources and maintained on a standard diet at room temperature (RT). The animal experiments were approved by the Institutional Animal Care and Use Committee of the Clinical Center, NIH. Each nude mouse was injected subcutaneously with 2×106 22B-pcFluc-DEVD cells (in 100 μL PBS) in the right shoulder. Tumor size was monitored with a digital caliper and tumor volume was calculated as ab2/2, where a is the longest diameter and b is the shortest diameter. Seven days after inoculation, 18 mice with a tumor volume around 150 mm3 were randomized into three groups (n = 6/group). One group of mice received 1 dose of 10mg/kg of Doxil (ALZA Corporation, USA) through intravenous administration. Another group of mice received two doses of Doxil with an interval of 2 days. The control group of mice received PBS only. Doses were selected to mimic high dose strategies used in clinical chemotherapy regimens. Animals underwent MRI, bioluminescence imaging, optical imaging and a PET scan at 48 hr after each Doxil or PBS administration. Animal status was monitored closely throughout the experiment.

Radiotracers

18F-FDG was purchased from the Nuclear Pharmacy of Cardinal Health, and reconstituted with sterile saline. The average radiochemical purity of the product was 98.5% and specific activity was >1,000 Ci/mmol. Synthesis of 18F-FLT was prepared manually according to methods in previous reports [9-10]. For purification of 18F-FLT, a semi-preparative C18 HPLC column (Phenomenex Nucleosil C18 column, 108005; 5 mm, 300 × 10 mm) was eluted with 8% ethanol/H2O (4 ml/min). Radiochemical yields (decay uncorrected) for 18F-FLT were 64.6 ± 8.3% (n = 5).

MRI imaging

Small animal MRI was conducted on a Bruker BioSpec 7.0 T system (Bruker BioSpin Corp.). The animals were placed on a holding bed equipped with circulating warm water to regulate body temperature during MRI scans. While the animals were under anesthesia, anatomic images were acquired using a T1-weighted MRI. A T2-weighted spin echo sequence (RARE) was then used with the following acquisition parameters: repetition time (TR)/echo time (TE), 2,000/48.8 ms; 256 × 256 matrix; and a 30 × 30 mm field of view. Continuous 1 mm thick slices were used to cover the entire tumor region. Diffusion weighted imaging (DWI) data were collected using a standard spin echo sequence with two b-factors (5 and 1,000 s/mm2) in three orthogonal gradient directions (x, y, z). The acquisition parameters were as follows: repetition time (TR)/echo time (TE), 2750/90 ms; diffusion separation time, 16 ms; diffusion gradient duration, 6 ms; 128 × 128 matrix; and a 30 × 30 mm field of view. A total of three to five 1 mm-thick slices (1 mm gap) were used to cover tumor regions of interest. A magnetic resonance-compatible small animal respiratory gating device (SA Instrument, Inc.) was used during the scans.

Bioluminescence Imaging

Bioluminescence imaging was acquired with an IVIS100 imaging system (Xenogen) after MRI on each imaging day. Each mouse was injected intraperitoneally with D-luciferin at a dose of 2.5 mg/kg in 0.1 mL. Five min later, the animals were positioned on a temperature-controlled warm bed (37°C) under isoflurane anesthesia (1-2%). Photons were collected for 180 seconds. Images were analyzed with Living Image v.3.1 software (Caliper Life Sciences).

18F-FLT PET and 18F-FDG PET imaging

For 18F-FLT PET imaging the animals were administered 1.85 MBq (50 µCi) 18F-FLT via tail vein injection. Animals remained conscious and were allowed free access to food and water during a 1 h uptake period. The mice were anesthetized (2% isoflurane in O2 at 2 L/min) immediately before scanning and were imaged in the prone position for 10 min. Body temperature was maintained before and during imaging using a thermostatically controlled circulating warm water pad.

Eight hours after 18F-FLT PET imaging, the same animals received 0.85 MBq (50 µCi) 18F-FDG via intravenous injection. They were maintained under isoflurane anesthesia during the injection, accumulation, and scanning periods. The images were reconstructed and analyzed as reported previously [11].

Histologic analysis

Tumor samples were collected and sectioned after the animals were sacrificed. DNA fragmentation was analyzed by terminal deoxynucleotidyl transferase mediated dUTP nick end labeling (TUNEL) assay using a commercial kit (Maxin-Bio) according to the manufacturer's protocol. In random fields, the percentage of all nuclei that were TUNEL-positive nuclei was determined and used as the apoptotic index.

Frozen tumor tissue slices were fixed with cold acetone for 20 min and dried in the air for 30 min at room temperature. For staining of CD31, the slices were blocked with 1% bovine serum albumin for 30 min, incubated with rat anti-mouse CD31 antibody (1:200; BD Biosciences) and then visualized with Cy3-conjugated goat anti-rat secondary antibody (1:300; Jackson ImmunoResearch Laboratories). For Ki-67 staining, slices were incubated with rabbit anti-mouse Ki-67 antibody (1:200; BD Biosciences), and then visualized with Cy3-conjugated goat anti-rabbit secondary antibody (1:300; Jackson ImmunoResearch Laboratories). Both types of stained slices were washed 3 times with PBS, mounted with 4'-6-diamidino-2-phenylindole (DAPI)-containing mounting medium, and observed under an epifluorescence microscope (X81; Olympus). Each experiment was performed in pairs, and the pairs were then repeated twice. Image J software (NIH) was used to assess the total number of DAPI positive nuclei, Ki-67 positive nuclei number, and the CD31-positive area. The Ki-67 staining index (SI) was defined as the percentage of positive nuclei within the total number of nuclei. For each tumor section, ten random images were analyzed 20 times.

Statistical Analysis

Quantitative data were expressed as mean ± SD. Statistical analysis was done using an unpaired Student's t tests. P values less than 0.05 were considered statistically significant.

Results

Doxil treatment inhibits UM-SCC-22B tumor growth

As shown in Figure 1A, a time-dependent increase in tumor volume was observed in the control group. The average tumor growth rates in the control group, expressed as V/V0, were 1.35 ± 0.27 and 1.62 ± 0.28 at day 3 and day 5, respectively. Meanwhile, the Doxil treatment group showed V/V0 ratios of 1.27 ± 0.28 and 0.96 ± 0.27 at day 3 and day 5, respectively. No significant difference in tumor volume was observed at day 3 after 1 dose of Doxil treatment. However, a significant tumor size difference between the treatment group and the control group was observed (p < 0.01) on day 5. There was no significant body weight loss observed during the treatment process.

Doxil induces apoptosis in 22B tumors

Reporter genes containing the caspase-3 substrate peptide DEVD (aspartic acid-glutamic acid-valine-aspartic acid) have been reported to monitor caspase-3 activity when cells undergo apoptosis [12-15]. One example is a DEVD containing cyclic luciferase. With this method, two fragments of DnaE intein were fused to neighboring ends of firefly luciferase connected with a DEVD sequence. After translation into a single polypeptide in living cells, the amino (N) and carboxy (C) terminals of the luciferase were ligated by protein splicing, which resulted in a closed circular polypeptide chain. When the substrate sequence was digested by caspases, the luciferase changed into an active form and regained its activity [16]. As shown in Figure 1B and C, in the PBS-treated control tumors, only background level of BLI signal was observed. After being treated with Doxil, the BLI signal intensity increased dramatically. The results indicate increased caspase-3 activity associated with apoptosis.

18F-FDG and 18F-FLT PET imaging

PET imaging with FDG and FLT has been well-adopted for the evaluation of tumor metabolism and proliferation. On the static FGD PET images in our study, UM-SCC-22B tumors showed clear contrast relative to surrounding tissues (other than to brain and heart). We used tumor-to-muscle ratio (T/M) to standardize the PET quantification. At 48 hr after 1 dose of Doxil treatment, there was no significant change of FDG uptake in treated versus control tumors (5.46 ± 0.36 vs. 4.44 ± 1.81, p > 0.05). Tumors that received 2 doses of Doxil showed significantly lower FDG uptake than the baseline scan with a T/M of 2.27 ± 0.41 (p < 0.01) (Figure 2A & B). UM-SCC-22B tumors showed positive FLT uptake, but no significant change after treatment with 1 dose of Doxil (p > 0.05). After 2 doses of Doxil treatment, the T/M ratio dropped from 3.32 ± 0.24 to 2.65 ± 0.13 (p < 0.05) (Figure 3A & B).

DW-MRI

Figure 4 shows a representative set of regular MR images, as well as the ADC map calculated from diffusion weighted images. The ADC maps revealed increases in ADC with increased Doxil dose. In the PBS control group, the average ADC value was 0.57 ± 0.04 mm2/s. In the Doxil treatment group, one dose of Doxil produced little change of ADC value (0.59 ± 0.04 mm2/s). After 2 doses of Doxil, however, the mean ADC value increased to 0.87 ± 0.05 mm2/s (p < 0.01).

 Figure 1 

(A) Antitumor activity of Doxil in UM-SCC-22B tumor model. The mice were implanted subcutaneously with UM-SCC-22B cells expressing apoptosis-responsive cyclic firefly luciferase (cFluc). Two doses of Doxil (10 mg/kg on day 1, and day 3, i.v.) inhibited tumor growth. (B) In vivo bioluminescence imaging of tumors treated with Doxil (10 mg/kg) (top) or PBS (bottom) in the UM-SCC-22B tumor bearing mice. (C) Quantification of tumor BLI intensity (**, p < 0.01).

Theranostics Image (Click on the image to enlarge.)
 Figure 2 

(A) Representative decay-corrected whole-body coronal microPET images of mice bearing UM-SCC-22B tumors at 1 h after intravenous injection of 18F-FDG (1.85 MBq/mouse) after Doxil or PBS treatment. The tumors are indicated by arrows. (B) Tumor uptake of 18F-FDG quantified by ROI analysis (**, p < 0.01).

Theranostics Image (Click on the image to enlarge.)
 Figure 3 

(A) Representative decay-corrected whole-body coronal microPET images of mice bearing UM-SCC-22B tumors at 1 h after intravenous injection of 18F-FLT (1.85 MBq/mouse) after Doxil or PBS treatment. The tumors are indicated by arrows. (B) Tumor uptake of 18F-FLT quantified by ROI analysis (*, p < 0.05; **, p < 0.01).

Theranostics Image (Click on the image to enlarge.)
 Figure 4 

(A) Representative T1WI, T2WI and ADC maps of tumors treated with PBS, 1 dose or 2 doses of Doxil. (B) Tumor ADC quantified by region-of-interest (ROI) analysis (**, p < 0.01).

Theranostics Image (Click on the image to enlarge.)

Histological analysis

The fluorescence characteristics of doxorubicin can be used to monitor the localization of the drug within lipid bilayers and liposomal delivery systems and to assess interaction of the drug with DNA and other macromolecules [17]. Even at 48 hr after drug delivery, the presence of doxorubicin in the tumor cell nuclei could be clearly visualized by fluorescence microscopy. In addition, the drug showed homogenous distribution throughout the whole tumor (Figure 5A).

 Figure 5 

Histologic analyis of tumor response to Doxil. Tumor samples treated with 2 doses of Doxil (10 mg/kg) or PBS were harvested for histological analysis. (A) Immunofluorescence staining of CD31and fluorescence from Doxorubicin in Doxil treated tumors. (B) Proliferation of UM-SCC-22B tumor cells after Doxil treatment as assessed by Ki-67 immunofluorescence staining. (C) Ki67 positive cells were counted and the Ki-67 staining index (SI) was calculated by plotting Ki-67 positive cell number against total cell number. A significant decrease in Ki67 SI was observed after Doxil treatment, compared to the control. Three samples were used from each group, and results were confirmed with a duplicate experiment. (D) TUNEL staining of UM-SCC-22B tumor section after treatment with Doxil. Apoptotic nuclei are shown in green. Normal cell nuclei are shown in blue, stained by DAPI. (E) Apoptotic cells are counted by positive TUNEL staining, and apoptotic ratio is calculated by plotting TUNEL positive cell number against total cell number. **, p < 0.01.

Theranostics Image (Click on the image to enlarge.)

Examples of anti-Ki-67 stained sections for the controls and for the animals that received 2 doses of Doxil are shown in Figure 5B. In the control tumor sections, a relatively high percentage of cells were stained positively for Ki-67, with a Ki-67 staining index (SI) of 56.9 ± 9.5 %. Significantly reduced cell proliferation was observed in the Doxil treated mice with a Ki-67 SI of 5.4 ± 1.3 % (p < 0.001) (Figure 5C).

A TUNEL assay is one of the traditional in vitro methods to characterize cell apoptosis, and TUNEL-positive nuclei confirm DNA fragmentation. Compared to the control group, the group that received 2 doses of Doxil treatment showed significantly more cell apoptosis, with an apoptotic index of 51 ± 9% (P < 0.01, Figure 5D & E).

Discussion

In this study, we applied multiple imaging techniques to monitor tumor responses to Doxil treatment--emphasizing apoptosis-related imaging, because doxorubicin exerts its effects by inducing apoptosis [18-19]. Traditionally, apoptosis can be characterized in isolated cells by in vitro or ex vivo methods, and these histological methods play an important role if tissue can be removed from the living system by biopsy. However, potential selection bias and lack of an ability to monitor the dynamic process of apoptosis can limit the usefulness of such studies [20]. Therefore, there has been growing interest in non-invasive, functional and molecular imaging techniques to observe apoptosis longitudinally [21].

Although clinical use of optical imaging is limited by the poor penetration of light through tissues, it is useful for assessing superficial tumors, and a highly sensitive activatable probe or reporter gene approach could provide a robust platform for preclinical drug screening and therapy monitoring in small animal models [22]. To develop such a probe we began by genetically engineered UM-SCC-22B cells with an endogenous apoptosis marker, cyclic firefly luciferase. The signal from this reporter gene is triggered after caspase-3 activation. Living cells that express cyclic luciferase can be used for quantitative detection of chemicals that induce or inhibit apoptosis [16]. After Doxil treatment, the BLI signal from the cyclic luciferase increased significantly in a dose dependent manner. The results confirmed the previous finding that doxorubicin induces apoptosis via caspase-3 activation [19]. More importantly, BLI imaging with the cyclic reporter gene is sensitive to apoptosis induced by Doxil as early as 24 hr after a single dose of Doxil, at which time no anatomical changes are yet apparent.

Diffusion-weighted MRI (DW MRI) is a noninvasive technique that probes the random microscopic motion of water molecules in vivo [23]. If tissue water can diffuse rapidly, the 1H magnetization and observed MRI signal will not refocus as much in the presence of a bipolar pulsed field gradient [24]. By systematically increasing the strength of the gradient and measuring the decrease in observed 1H signal intensity, the apparent diffusion coefficient (ADC) can be determined. When b values are between 0 and 1000 s/mm2, DWI detects mainly extracellular space water diffusion [25]. After one dose of Doxil treatment, BLI imaging confirmed tumor cell apoptosis due to the induction of caspase protease. DWI MR detection of tumoral apoptosis relies on the observable shrinkage of the cell cytoplasm during tumor cell death, leading to decreased cell density and increased extracellular water space in the tumor, which occurs at a relatively late stage of the apoptosis process [26]. This is probably why no ADC value change was observed after only one dose of Doxil treatment.

18F-FDG has been widely used both pre-clinically and clinically to monitor tumor glucose metabolism. Although treatment monitoring with 18F-FDG PET may have a significant impact on patient management in multiple clinical situations, published data on the accuracy of 18F-FDG PET appear controversial [27]. We observed FDG signal changes after two doses of Doxil treatment, indicating the treatment reduced the tumor cell metabolism. 18F-FLT is the most extensively studied probe for imaging cellular proliferation in vivo. 18F-FLT PET is more specific than 18F-FDG PET in evaluating tumor proliferation and tumor response, with fewer false positive findings in inflammatory lesions [28]. In our study, we did observe significantly decreased tumor uptake after 2 doses of Doxil treatment, corroborating the change of Ki-67 index.

Conclusions

Apoptosis is a very complicated and dynamic process which is still not fully understood. Multiple imaging techniques may provide a comprehensive description of apoptosis dominant tumor response to therapeutics such as Doxil. It is also essential to combine apoptosis imaging strategies with imaging of other biological or pathological pathways, such as metabolism and proliferation, to improve pre-clinical decision making in apoptosis-related diseases and interventions.

Acknowledgements

This project was supported in part by the Intramural Research Program of the National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), and the International Cooperative Program of the National Science Foundation of China (NSFC) (81028009). F. Z. and G. L. are partially supported by the NSFC grant No. 30930028. G. N. currently is an Imaging Sciences Training Program (ISTP) Fellow jointly supported by the Radiology and Imaging Sciences Department, NIH Clinical Center and the Intramural Research Program, NIBIB, NIH.

Conflict of Interest

The authors have declared that no conflict of interest exists.

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Author contact

Corresponding address Corresponding author: Dr. Xiaoyuan Chen, 31 Center Drive, Suite 1C14, Bethesda, MD 20892-2281. Email: shawn.chengov. Or Dr. Gang Niu, 9 Memorial Drive, 9/1W111, Bethesda, MD 20892. Email: niugnih.gov


Received 2011-5-5
Accepted 2011-6-1
Published 2011-6-6