Abstract
The ability to destroy cancer cells while sparing normal tissue is highly sought after in cancer therapy. Small interfering RNA (siRNA)-mediated silencing of cancer-cell specific targets, or the use of a prodrug enzyme delivered to the tumor to convert a non-toxic prodrug to an active drug are two promising approaches in achieving this goal. Combining both approaches into a single treatment strategy can amplify selective targeting of cancer cells while sparing normal tissue. Noninvasive imaging can assist in optimizing such a strategy, by determining effective tumor delivery of the siRNA and prodrug enzyme to time prodrug administration, and detecting target downregulation by siRNA, and prodrug conversion by the enzyme. In proof-of-principle studies, we synthesized a nanoplex carrying magnetic resonance imaging (MRI) reporters for in vivo detection, and optical reporters for microscopy, to image the delivery of siRNA and a functional prodrug enzyme in breast tumors, and achieve image-guided molecular targeted cancer therapy. siRNA targeting of choline kinase-α (Chk-α), an enzyme significantly up regulated in aggressive breast cancer cells, was combined with the prodrug enzyme bacterial cytosine deaminase (bCD) that converts the non-toxic prodrug 5-fluorocytosine (5-FC) to cytotoxic 5-fluorouracil (5-FU). In vivo MRI and optical imaging showed efficient intratumoral nanoplex delivery. siRNA-mediated downregulation of Chk-α and the conversion of 5-FC to 5-FU by bCD were detected noninvasively with 1H MR spectroscopic imaging and 19F MR spectroscopy. Combined siRNA and prodrug enzyme activated treatment achieved higher growth delay than either treatment alone. The strategy can be expanded to target multiple pathways with siRNA.
Keywords: molecular imaging, cancer, image-guided siRNA delivery, prodrug enzyme therapy
Combining advances in nanotechnology with molecular biology and imaging is providing exciting new nanomedicine-based strategies for cancer treatment. The ideal cancer therapy would target cancer cells while sparing normal tissue. In most conventional chemotherapy, normal cells are damaged together with cancer cells.1,2 siRNA-mediated silencing of specific targets3,4 has significant potential in cancer therapy5 to downregulate pathways that are upregulated in cancer cells but not in normal tissue, to achieve cancer cell-specific treatment. Similarly prodrug enzyme therapy, where a drug-activating enzyme delivered to the tumor converts a non-toxic prodrug to a cytotoxic drug,6 is being actively investigated to minimize normal tissue damage.7,8 A combination of both strategies can be exploited to enhance the effect of conventional chemotherapy against cancer cells, and minimize damage to normal tissue.
Imaging can play a key role in several aspects of such a treatment. Since tumor vasculature is typically heterogeneous and chaotic,9,10 the ability to image the delivery of the siRNA and the prodrug-activating enzyme within the tumor would ascertain effective delivery. Noninvasive detection of target downregulation and visualization of the prodrug-activating enzyme could be exploited to time prodrug administration to minimize normal tissue damage. Detecting the conversion of the prodrug to the active drug within the tumor would verify that the prodrug enzyme was functional.
We previously synthesized a prototype agent consisting of bCD labeled with multimodal MR and optical imaging reporters.11 bCD converts a non-toxic prodrug 5-FC to 5-FU.12 The feasibility of image-guided prodrug enzyme therapy using MRI was demonstrated with this prototype agent. Imaging was used to time prodrug administration, and conversion of 5-FC to 5-FU was dynamically monitored by 19F MRS.13
Here, for the first time, in proof-of-principle studies we developed and evaluated a prototype nanoplex carrying MRI and optical reporters that delivered bCD and siRNA, in the ER/PR/Her2-neu negative MDA-MB-231 human breast cancer xenograft model. Both MRI and optical imaging reporters were used because MRI is routinely used in diagnostic imaging, and preclinical results can be clinically translated. Optical imaging reporters, although not easily clinically translatable, allow characterization of the nanoplex at subcellular resolution with microscopy in cells and tissue, and provide in vivo corroboration of the MRI data.14
We used siRNA targeting Chk-α in our prototype nanoplex. Over-expression of Chk-α has been observed in breast and lung cancer.15–17 1H MRS studies have consistently detected an elevation of phosphocholine (PC) and total choline (tCho) containing compounds in several cancers,15,18,19 that are closely related with malignant transformation, invasion and metastasis.20–24 Chk is a cytosolic enzyme that catalyzes the phosphorylation of choline to PC,25 a precursor as well as a breakdown product of the major membrane component phosphatidylcholine. Chk-α is being actively investigated as a target for anti-tumor therapy.26,27 We previously found that a combination of siRNA-chk transfection and 5-FU treatment achieved a greater reduction of cell viability in malignant human mammary epithelial cells compared to nonmalignant ones.28
Noninvasive 1H MRI detection of nanoplex delivery was confirmed by fluorescent imaging and microscopy. Downregulation of Chk-α by the siRNA was detected through decreased tCho observed by noninvasive 1H MRSI, a technique routinely used in the clinic, and further validated by immunoblotting. Conversion of 5-FC to 5-FU was determined in vivo by 19F MRS. Therapeutic response was evaluated from changes in tumor growth and histology.
This nanoplex strategy can be expanded to downregulate multi-drug resistance pathways, or repair enzymes, and increase the efficiency of chemo- or radiation therapy.
Results
Nanoplex synthesis and characterization
The synthesis of the nanoplex (nanoplex 11) is outlined in Figure 1. Briefly, treatment of Cy5.5-NHS esters and DOTA-NHS ester with poly-L-lysine (PLL) respectively gave 1. After complexation with Gd3+, compound 2 was functionalized with S-acetylthioacetate and hydrazine to give 4. Meanwhile, branched PEI was labeled with rhodamine and polyethyl glycol (PEG) (2.0 kDa). The co-grafted polymer bPEI-PEG 5 was labeled with benzaldehyde to give 6. Conjugation of equivalent 4 and 6 resulted in the PLL-PEI copolymer 7. The reduction of S-acetylthioacetate in 7 to a sulfhydryl group gave 8. Treatment of bCD11 with N-[e-Maleimidocaproyloxy]succinimide ester (EMCS) gave 9. Cross-linking of 9 with 8 gave bCD-111 (10). Finally, condensation of siRNA-chk with 10 provided nanoplex 11.
The molar ratio of bCD/PEI/PLL in vector bCD-111 (10) was measured as 1/1.05/1.2. The molecular weight of 10 was determined as 366 kDa (Supporting Information, Figure S1) and its average diameter and zeta potential were 55 nm and 0.9 mV at pH 7.4 (Supporting Information, Figure S2). The longitudinal relaxivity r1p of 10 was 16.6 mM−1s−1 at 9.4 T at 25 °C (Supporting Information, Figure S3). Kinetic studies demonstrated that 10 and unmodified bCD have similar Michealis-Menton constant Km values to both substrate of cytosine and 5-FC (Supporting Information, Table S1). Compared to the unmodified bPEI, the IC50 of 10 in MDA-MB-231 cells increased 23 times to 4.8 μM (Supporting Information, Figure S4). 10 also showed high enzymatic stability, and efficiently converted 5-FC to 5-FU even 24 h after internalization Supporting Information, Figure S5). As shown Figures S6–7 in Supporting Information, nanoplex 11 remained intact at an N/P ratio greater than 20 and the siRNA-chk encapsulated in nanoplex 11 was well-protected in 70% fresh mouse serum even 8 h after incubation. Immunoblot studies also clearly demonstrated the N/P ratio dependent Chk silencing efficacy in MDA-MB-231 cells (Supporting Information, Figure S8).
Cellular and molecular characterization of combined siRNA and prodrug strategy
Efficient cellular uptake of nanoplex 11 in live MDA-MB-231 cells was demonstrated with confocal fluorescence microscopy. After 30 min incubation, the predominant attachment of the nanoplex to the cell membrane was likely due to the non-specific electrostatic interaction between the positively charged nanoplex and the negatively charged cell surface proteoglycans (Figure 2A).30,31 Distinct fluorescent vesicular structures were observed in the cytoplasm after incubation for 4 h, while fluorescence at the cell membrane diminished, suggesting that the nanoplex was internalized through endocytosis (Figure 2B).32 Intracellular delivery of the nanoplex was verified by yellow vesicular structures resulting from colocalization of red fluorescence from rhodamine labeled in the PEI vector and green fluorescence from FITC labeled in the siRNA-chk. Cytosolic release of encapsulated siRNA-chk from nanoplex 11 was evident from the diffuse green stain observed in areas adjacent to the yellow vesicular structures at 4 h after treatment (enlarged area 2, Figure 2B). Cytosolic release of the siRNA-chk was more apparent at 24 h after the nanoplex uptake (Figure 2C). In some cells the green stain occupied the entire cytoplasm including the nuclear area (enlarged area 3, Figure 2C). These live cell fluorescence images indicated that nanoplex 11 not only efficiently delivered encapsulated siRNA-chk into cancer cells, but also possessed the ability to release the siRNA-chk into the cytoplasm, which was essential for the siRNA to downregulate the message.
The transient transfection efficiency of nanoplex 11 in MDA-MB-231 cells was evaluated with immunoblotting (Figure 3A). Effective Chk down-regulation by the nanoplex compared with negative (oligofectamine alone) and positive (oligofectamine/siRNA-chk lipoplex) controls with the same siRNA-chk concentration was observed. Nanoplex 11 showed an siRNA concentration dependent Chk down-regulation efficacy. Notably, Chk silencing was observed for siRNA-chk concentrations as low as 20 nM.
Chk levels in tumors treated with PBS, 10/scrambled siRNA nanoplex or nanoplex 11 were substantially lower in tumors treated with nanoplex 11 (300 mg/kg, N/P = 50, i.v.) for 24 and 48 h (Figure 3B). We also investigated intratumoral Chk levels after the combined strategy for 48 h (5-FC was delivered 24 h after nanoplex 11), however, no further reduction of Chk levels was observed.
Imaging of nanoplex 11 in vivo and ex vivo
Both in vivo optical imaging and MRI studies demonstrated efficient intratumoral delivery of nanoplex 11 (300 mg/kg via i.v.) in tumors. In vivo dynamic NIR fluorescence imaging showed the uptake of nanoplex 11 in the tumor as early as 15 min post i.v. injection (Figure 4A). NIR fluorescence intensities in tumors reached a maximum value of 7.4±0.6 × 109 ps−1cm−2sr−1 (n=3, Figure 4B) at 48 h post injection. The T/N ratio also attained a maximum value of 5.6±0.5 at 48 h post nanoplex injection (n=3, insert of Figure 4B).
Ex vivo white light, fluorescence, and color-coded fluorescence images of tumor sections obtained at 4, 24 and 48 h following i.v. injection of the nanoplex are shown in Figure 4C. A heterogeneous intratumoral distribution pattern of the nanoplex was observed in all tumor sections, and the degree of colocalization between the fluorescence from rhodamine (PEI) and FITC (siRNA) decreased with time after nanoplex injection. These ex vivo fluorescence images confirmed that the encapsulated siRNA-chk was released from the nanoplex within 24–48 h post-injection.
Bio-distribution data of nanoplex 11 obtained at 4, 24 and 48 h post-injection in tumor bearing mice are shown in Figure 4D. The nanoplex predominantly accumulated in liver, kidney, lung, spleen and tumor at 4 h after i.v. injection. Concentration of the nanoplex in the kidney, lung and spleen decreased gradually, but increased in the liver and tumor at 24 h post-injection. At 48 h, the normalized fluorescence intensity continually decreased in all normal tissues but peaked to the highest observed value in the tumor (n=4, 5.7±0.4 normalized to muscle).
Representative in vivo high resolution T1-weighted MR images and quantitative T1 maps of a tumor before and after i.v. administration of nanoplex 11 (300 mg/kg) are shown in Figure 5A. Tumor regions with MR signal enhancement were observed immediately after injecting the nanoplex. Within 60 min of injection, the enhancement slowly diffused from the periphery to the interior of the tumor. By 24–48 h it was mainly localized within the central region of the tumor. MR signal enhancement in the T1-weighted images was further confirmed as a decrease of T1 values in the quantitative T1 maps (lower panel in Figure 5A). The time-dependent average T1 values of the tumor presented in Figure 5B demonstrate that T1 values decreased significantly from 2127±30 ms before injection to 1652±21 ms (Mean±SD, average 22% reduction, n=5, P=0.0029) at 60 min post-injection. After that, the T1 values increased slowly, but a reduction of 18% remained (1743±52 ms, n=5, P=0.0023) at 48 h post-injection.
Real-time noninvasive imaging of therapeutic response in vivo
Evidence of the enzymatic activity of nanoplex 11 localized in the tumor was confirmed by monitoring the conversion of 5-FC to 5-FU by non-invasive 19F MRS (Figure 5C). The nanoplex demonstrated high enzymatic activity even 24 h after tumor localization. As shown in Figure 5C, only a single 5-FC peak was detected immediately after prodrug administration. A peak at 3.4–3.8 ppm from F-Nucl (FU-derived fluoronucleotides and FU-derived fluoronucleosides), which are the active metabolites of 5-FU that inhibit cancer cell replication,33,34 was apparent from 1 h onwards following 5-FC injection. Another peak at 1.4 ppm from 5-FU increased slowly 2 h post-prodrug injection. The 5-FC peak intensity decreased with time, consistent with the conversion of the prodrug to the active drug by bCD.
In vivo intratumoral Chk down-regulation induced by nanoplex 11 was non-invasively evaluated by measuring tCho levels with 1H MRSI. Representative tCho maps and color coded tCho intensity maps overlaid with corresponding T1-weighted images of a tumor before and at 24 and 48 h post-injection of the nanoplex (300 mg/kg, N/P=50, i.v.) are shown in Figure 5D. Prior to injection, tCho was detected almost over the entire tumor. However, tCho decreased within 24 h post-injection, and by 48 h tCho was localized to a thin peripheral rim. On average, tCho levels decreased to 35% and 34% respectively at 24 and 48 h post-injection compared to pretreatment values (n=4, P=0.0049).
Therapeutic efficacy of image-guided combined siRNA and prodrug strategy in vivo
Based on the bio-distribution and imaging data, the prodrug was injected 24 h after the nanoplex administration to achieve high therapeutic efficacy and low systemic toxicity. In contrast to the average tumor doubling time of 5.5 days in mice treated with PBS only or with 10/scrambled siRNA nanoplex, an average tumor doubling time of 10 days and 18 days was observed in mice treated with nanoplex 11 alone, or treated with the enzyme/prodrug strategy alone, respectively. The combined prodrug/siRNA strategy, however, resulted in an average tumor doubling time of 35 days (Figure 6A). A slight body weight loss (≈ 5%) was observed in mice treated with the combined treatment strategy, nanoplex 11 alone or 10/5-FC alone (Figure 6B). Mice recovered original body weights within one week.
The therapeutic response in tumors was additionally evaluated by histology. As shown in Figure 6C, gross necrosis was not detected in control tumors treated with PBS alone or with scrambled siRNA in the nanoplex. In contrast, a large necrotic area (≈ 61 ± 12%, Mean ± SD, n = 4) was observed at 48 h after the image-guided combined treatment. Necrosis was also detected in tumors treated with nanoplex 11 alone for 48 h (≈ 23 ± 7%, n = 3) and tumors treated with bCD-111 10/prodrug (≈ 40 ± 8%, n = 3, prodrug 5-FC injected at 24 h post bCD-111 administration). No evidence of necrosis was found in the liver or kidney after combined treatment.
Kidney and liver function
Serum creatinine levels were 0.4 mg/dL in both control mice, and 0.3 ± 0.1 mg/dL (mean ± S.D.) in the treated mice (normal range 0.3–1 mg/dL). Aspartate aminotransferase (AST) levels were 40 ± 4.2 U/L in control mice and 200 ± 77.8 U/L in treated mice (normal range 50–300 U/L). Alanine aminotransferase (ALT) levels were 28.5 ± 2.1 U/L in control mice and 88.5 ± 34.6 U/L in treated mice (normal range 20–80 U/L). Of the three enzymes, only ALT levels were slightly higher than the normal range. These data together with the absence of mouse body weight loss suggest that nanoplex 11 was well-tolerated in vivo.
Discussion
Here, in proof-of-principle studies, we have demonstrated the feasibility of non-invasive molecular-imaging guided delivery of siRNA and a prodrug enzyme together with non-invasive detection of target gene down-regulation, and conversion of the prodrug. Both MRI and optical imaging reporters were incorporated in the nanoplex; MRI for clinical translatability and optical reporters for microscopy of cells and tissues at subcellular resolution. The NIR fluorophore Cy5.5 increased the sensitivity and quantification accuracy of optical imaging because of low tissue auto-fluorescence and higher penetration depth. In vivo 1H MRI, 19F MRS, 1H MRSI and optical imaging showed efficient intratumoral delivery of the nanoplex, down-regulation of the target gene, and formation of the prodrug-enzyme activated cytotoxic drug. While further optimization of dose and dose-timing is required, the additive therapeutic effect achieved by the combined siRNA and prodrug enzyme strategy was evident from significant tumor growth delay and extensive necrosis.
While previous studies have reported the use of imaging to detect siRNA delivery,35–37 here, noninvasive imaging was used not only to monitor delivery of the therapeutic prodrug enzyme and siRNA and time prodrug administration, but also to evaluate, in real time, downregulation of the message and activity of the prodrug enzyme.
The nanoplex met several criteria to achieve this multi-purpose ability, and maintain low cytotoxicity and biodegradability in vivo. The prodrug activating enzyme bCD, selected because of its high stability,12 maintained high enzymatic activity after conjugation. PLL as an imaging reporter carrier provided numerous primary amines to conjugate to multimodal imaging reporters13 with a high payload to improve sensitivity and spatial resolution of the images. Additionally, since PLL is biodegradable, the labeled Gd3+-DOTA was rapidly excreted, with minimal tissue accumulation and associated side-effects.38 Synthetic polymer PEI was chosen as the siRNA delivery vector because of its buffering effect,39 which resulted in endosomal release of endocytosed siRNA into the cytoplasm. To overcome the toxicity of cationic PEI that results from interactions with non-targeted blood components or vessel endothelia,40,41 hydrophilic PEG was labeled to PEI to partially shield the positive charges on the PEI surface and reduce intra/intermolecular aggregation.40 The enhanced enzymatic stability of 10 in vivo and in vitro may be due to its positive charge that accelerated cellular uptake and blocked proteolysis of bCD.32 Other than a modest increase of serum ALT levels, neither serum creatinine nor serum AST levels were outside the normal range in nanoplex injected mice.
The higher permeability of tumor vasculature allowed the nanoplex to leak out extensively in tumors but not normal tissue.42 Tumor specificity may have also increased because of facilitated association between the cationic nanoplex and the negatively charged sulfated proteoglycans that are over-expressed on MDA-MB-231 cell-membranes.43 The 24 h time-window was selected for prodrug administration after nanoplex administration because imaging and bio-distribution studies demonstrated that the T/N ratio of the nanoplex was high at this time-point, and that significant downregulation of Chk-α had occurred by this time.
A fairly heterogeneous distribution of the nanoplex was observed in the tumor. At 15 min, the nanoplex was localized more at the tumor periphery, but by 60 min it had diffused into the central region of the tumor. The distribution of tCho was heterogeneous even before the nanoplex injection. After the combined prodrug and siRNA therapy, the overall tCho level decreased significantly. However, a thin rim of cancer cells in the peripheral region of the tumor still exhibited high tCho. It is possible that a combination of the nanoplex treatment with radiation therapy may eliminate this viable rim. In future studies it will be important to investigate the relationship between the change in T1 and the decrease of tCho, using this platform system, since the siRNA-mediated downregulation of choline kinase is directly reflected by the change in tCho. This may allow detection of delivery, and prediction of the action any siRNA of choice, using T1 measurements alone.
The siRNA-chk treatment and prodrug strategy alone did result in an increase of tumor doubling time, as well as an increase of necrosis. This was anticipated since downregulating Chk-α has been previously observed to decrease cell viability,28 and the formation of 5-FU in the tumor following treatment with the prodrug strategy alone will result in cell death, as previously observed.13 The combined siRNA and prodrug strategy, however, resulted in a significantly longer tumor doubling time than a single treatment of either the prodrug strategy or siRNA-chk treatment given alone. The longer growth delay was consistent with large necrotic areas detected in tumors treated with the combined strategy. Necrosis in tumor sections was more extensive than nanoplex-containing regions detected in T1-weighted images, suggesting that local diffusibility of 5-FU resulted in a strong “bystander” effect.44
The biodistribution studies demonstrated significant accumulation of the nanoplex in the liver and kidney. However, since downregulation of Chk-α, the siRNA target selected, does not affect nonmalignant cells,28 this component of the nanoplex did not pose a significant problem. The other concern is the 5-FU generated by bCD in these organs, from injected 5-FC. The liver contains high levels of dihydropyrimidine dehydrogenase, which rapidly catabolizes 5-FU to dihydrofluorouracil.45 Liver or kidney necrosis was not observed previously,13 or in the current study.
Image-guided combined siRNA and prodrug enzyme treatment has significant potential to improve therapeutic efficacy and minimize normal tissue damage. In these proof-of-principle studies, a single dose of the siRNA-prodrug enzyme containing nanoplex together with the prodrug resulted in a six-fold increase of tumor doubling time. Choosing siRNA targeting a repair or resistance pathway or enzyme, or multiple pathways/enzymes, may achieve even better growth control in combination with prodrug enzyme treatment and radiation therapy.46
Methods
siRNA
The siRNA-chk duplex directed against the sequence of human Chk-α (sense: 5'-CAUGCUGUUCCAGUGCUCCUU-3' and antisense: 5'-GGAGCACUGGAACAGCAUGUU-3'), and the scrambled siRNA ON-TARGETplus were purchased from Dharmacon.
Cell lines
MDA-MB-231 human breast cancer cells (ATCC) were cultured as recommended by the supplier.
Immunoblots
Intratumoral Chk levels in cells and tumors before and after treatment were characterized by western blot analyses using a custom-designed antibody for Chk-α.29 Tumors were excised, weighed and ground at selected time-points after the treatments. The tissue powder was added to a RIPA buffer supplemented with protease inhibitors and homogenized. After centrifugation at 10,000 × g for 10 min, the clear supernatant was collected and the protein concentration was calculated.
Mouse model and tumor implantation
All in vivo studies were compliant with institutional guidelines established by the Institutional Animal Care and Use Committee of Johns Hopkins University. MDA-MB-231 human breast cancer cells (2 × 106) were inoculated in the upper left thoracic mammary fat pad of female severe combined immuno-deficient (SCID) mice. Tumors used were approximately 300 mm3. Mice were anesthetized with a mixture of ketamine (25 mg/kg) and acepromazine (2.5 mg/kg) injected intraperitoneally (i.p.).
Confocal laser scanning fluorescence microscopy
Fluorescence microscopic images of live cells were generated on a Zeiss LSM 510 META confocal laser scanning microscope (Carl Zeiss). A 63× oil immersion lens was used to collect 6–10 scanning layers from a depth of 0.8 mm. The rhodamine label in PEI was excited with a 543 nm laser, and the emission was detected by a photomultiplier tube using a 560 nm band-pass filter. The FITC label in siRNA-chk was excited with a 488 nm laser and the emission detected with a secondary photomultiplier using a 505 to 550 nm band-pass filter.
In vivo MRI
All MR (imaging and spectroscopy) studies were performed noninvasively in vivo on a 9.4T MR spectrometer (Bruker) using a solenoidal coil placed around the tumor. In the MRI studies, multi-slice relaxation rates (T1−1) were obtained by a saturation recovery method combined with fast T1 SNAPSHOT-FLASH imaging (flip angle of 10°, echo time of 2 ms), as previously described.13 Images of 4–6 slices (slice thickness of 1 mm) acquired with an in-plane spatial resolution of 0.125 mm (128×128 matrix, field of view of 16 mm, NA = 8) were obtained for 3 relaxation delays (100 ms, 500 ms, and 1 s). A fully relaxed Mo map with a recovery delay of 10 s was acquired once at the beginning of the experiment. Images were obtained before and at time-points after intravenous administration of the nanoplex delivered through a catheterized tail vein. T1 relaxation maps were reconstructed from data sets for three different relaxation times and the Mo data set on a pixel by pixel basis.
In vivo 19F MRS
19F MR spectra from the tumor were acquired using a one pulse sequence (flip angle, 600; repetition time, 0.8 s; number of averages, 2,000; spectral width, 10 kHz).13
In vivo 1H MRSI
MRSI was performed using a 2D chemical shift imaging (CSI) sequence. Water-suppressed MRSI was performed on a 4-mm thick central slice, with an in-plane resolution of 1 mm × 1 mm per pixel using a 2D CSI sequence with VAPOR water suppression and the following parameters: echo time (TE) of 120 ms, repetition time (TR) of 1000 ms, field of view (FOV) of 1.6 cm × 1.6 cm, phase encode steps of 16 (16×16 voxels), number of scans (NS) 8 for 2D CSI, block size 1024, and sweep width of 4,000 Hz. Water-unsuppressed reference MRSI were acquired from the same tumor slice as the water-suppressed MRSI, but with TE=20 ms and NS=2, and all other parameters the same. Spectroscopic images of the tCho signal at 3.2 ppm and the water signal at 4.7 ppm were generated from the MRSI data sets using an in-house IDL program, and analyzed using the freeware program ImageJ 1.37v (http://rsb.info.nih.gov/ij/).
In vivo optical imaging
In vivo optical images were acquired with an IVIS 200 scanner (Caliper) as previously described.13 Time-dependent fluorescence intensities in regions of interest (ROIs) were quantified by using Living Image 2.5 software (Caliper). Tumor/normal tissue ratio (T/N) was calculated by comparing the average Cy5.5 fluorescence intensities in the tumor ROI and the whole mouse body. All in vivo fluorescence images were acquired using 0.1 s exposure time under the Cy5.5 channel (FOV 6.4 or 12.8 cm; f/stop, 4; bin, high resolution), and the fluorescence intensity was scaled as a unit of ps−1cm−2sr−1.
Bio-distribution
Mice were sacrificed and the tumor and other organs were excised, and carefully sliced to a thickness of 3.0 mm to minimize depth-dependent nonlinear fluorescence emission.13 Tissue slices were imaged with an IVIS 200 scanner (Caliper). Fluorescence intensities of tissue sections were quantified by ImageJ software (NIH, Bethesda, MD), and normalized to that of muscle. Mean relative fluorescent intensities were obtained by averaging at least five FOV for different sections from the same organ.
In vivo antitumor effect
To investigate the therapeutic response of the combined strategy, nanoplex 11 (300 mg/kg i.v.) was injected in mice (n=6) followed by a dose (450 mg/kg) of 5-FC (administered as 200 mg/kg i.v. and 250 mg/kg i.p.) at 24 h after the nanoplex injection. As controls, mice (n=5) were injected with nanoplex 11 (300 mg/kg i.v.) without prodrug administration, or with conjugate 10 (300 mg/kg i.v., n=3) followed by a dose (450 mg/kg) of 5-FC (administered as 200 mg/kg i.v. and 250 mg/kg i.p.) after 24 h, or with nanoplex 11 (300 mg/kg i.v., n=3) alone, or with PBS (250 μL i.v., n=3) only. Tumor volumes and body weights of mice were measured on the day of administration and subsequently every 2~3 days until tumor volumes reached 1.0 cm3.
Kidney and liver function
Studies were performed to evaluate kidney and liver function following nanoplex injection. Serum creatinine levels, and serum ALT and AST levels, were evaluated by the Johns Hopkins University School of Medicine Phenotyping Core Facility, from spectrophotometric measurements obtained with an automated Vet Ace ® Clinical Chemistry system (Alfa Wasserman Diagnostic Technologies LLC, NJ), which is an automated bench-top random access analyzer that provides quantitative measurements of constituents in blood and serum. Serum was obtained from control mice (n=2) and treated mice (n=2) 48h after injecting the nanoplex.
Histological evaluation
Tumors were fixed in formalin, sectioned at 5 μm thickness, and stained with hematoxylin and eosin. At least three 5 μm thick sections were obtained form each tumor and analyzed. Three to four tumors from each group were analyzed. Necrotic cells were identified by pyknotic nuclei or lack of nuclei that resulted in a decrease of purple staining of chromatin by hematoxylin, leaving a primarily pale pink eosinophilic staining of the cytoplasm in necrotic areas. Percent necrosis in the tumor sections was determined by obtaining a ratio of necrotic to the total tumor area in each section from images acquired with a 2× objective using ImageJ software.
Statistical analysis
Values are presented as Mean±SD of at least three experiments. Statistical differences were evaluated with Student's t-test (Excel 2002, Microsoft); P < 0.05 (two tailed) was considered significant.
Supplementary Material
Acknowledgment
This work was supported by NIH R01CA138515 and P50 CA103175. We thank Drs. M. Neeman, V. Raman and P. Senter for helpful discussions, and Drs. Y. Kato, N. Mori, B. Krishnamachary and K. Glunde for technical assistance. We thank Dr. Barry Stoddard for providing the bCD cDNA. We gratefully acknowledge support from Dr. J.S. Lewin. CL gratefully acknowledges support from Prof. Y.Z. Zhu, the Chinese National Science Foundation (30900353), and the National Science and Technology Major Project (2009ZX09310-006).
Abbreviations
- 5-FC
5-fluorocytosine
- 5-FU
5-fluorouracil
- ALT
alanine aminotransferase
- AST
aspartate aminotransferase
- bCD
bacterial cytosine deaminase
- bPEI
branched polyethyleneimine
- Chk
choline kinase
- CSI
chemical shift imaging
- EMCS
N-[e-Maleimidocaproyloxy]succinimide ester
- EMSA
electrophoretic gel mobility shift assay
- ER
estrogen receptor
- FOV
field of view
- IC50
50% inhibitory concentration
- i.p.
intraperitoneal
- i.v.
intravenous
- MRS
magnetic resonance spectroscopy
- MRSI
magnetic resonance spectroscopic imaging
- N/P ratio
the molar ratio between the nitrogen atoms in the PEI vector and the phosphorus atoms in the siRNA duplex
- NIR
near infrared
- NS
number of scan
- PC
phosphocholine
- PEG
polyethyl glycol
- PEI
polyethyleneimine
- PLL
poly-L-lysine
- PR
progesterone receptor
- ROI
region of interest
- SCID
severe combined immune deficient
- siRNA
small interfering RNA
- tCho
total choline
- TE
echo time
- T/N ratio
tumor/normal tissue ratio
- TR
repetition time
Footnotes
Supporting information available Detailed synthesis, characterization, enzymatic kinetics, cytotoxicity and nanoplex stability in mouse serum. This material is available free of charge via the Internet at http://pubs.acs.org.
References
- 1.Hassett MJ, O'Malley AJ, Pakes JR, Newhouse JP, Earle CC. Frequency and Cost of Chemotherapy-Related Serious Adverse Effects in A Population Sample of Women with Breast Cancer. J. Natl. Cancer Inst. 2006;98:1108–1117. doi: 10.1093/jnci/djj305. [DOI] [PubMed] [Google Scholar]
- 2.Ladewski LA, Belknap SM, Nebeker JR, Sartor O, Lyons EA, Kuzel TC, Tallman MS, Raisch DW, Auerbach AR, Schumock GT, et al. Dissemination of Information on Potentially Fatal Adverse Drug Reactions for Cancer Drugs from 2000 to 2002: First Results from the Research on Adverse Drug Events and Reports Project. J. Clin. Oncol. 2003;21:3859–3866. doi: 10.1200/JCO.2003.04.537. [DOI] [PubMed] [Google Scholar]
- 3.Fire A, Xu S, Montgomery MK, Kostas SA, Driver SE, Mello CC. Potent and Specific Genetic Interference by Double-Stranded RNA in Caenorhabditis Elegans. Nature. 1998;391:806–811. doi: 10.1038/35888. [DOI] [PubMed] [Google Scholar]
- 4.Meister G, Tuschl T. Mechanisms of Gene Silencing by Double-Stranded RNA. Nature. 2004;431:343–349. doi: 10.1038/nature02873. [DOI] [PubMed] [Google Scholar]
- 5.Devi GR. siRNA-Based Approaches in Cancer Therapy. Cancer Gene Ther. 2006;13:819–829. doi: 10.1038/sj.cgt.7700931. [DOI] [PubMed] [Google Scholar]
- 6.Xu G, McLeod HL. Strategies for Enzyme/Prodrug Cancer Therapy. Clin. Cancer Res. 2001;7:3314–3324. [PubMed] [Google Scholar]
- 7.Russell PJ, Khatri A. Novel Gene-Directed Enzyme Prodrug Therapies Against Prostate Cancer. Expert Opin. Investig. Drugs. 2006;15:947–961. doi: 10.1517/13543784.15.8.947. [DOI] [PubMed] [Google Scholar]
- 8.Singh Y, Palombo M, Sinko PJ. RNAi-Mediated Silencing of Nuclear Factor Erythroid-2-related Factor 2 Gene Expression in Non-Small Cell Lung Cancer Inhibits Tumor Growth and Increases Efficacy of Chemotherapy. Curr. Med. Chem. 2008;15:1802–1826. doi: 10.1158/0008-5472.CAN-08-1401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jain RK. Transport of Molecules in the Tumor Interstitium: A Review. Cancer Res. 1987;47:3039–3051. [PubMed] [Google Scholar]
- 10.Fukumura D, Jain RK. Tumor Microvasculature and Microenvironment: Targets for Anti-angiogenesis and Normalization. Microvasc. Res. 2007;74:72–84. doi: 10.1016/j.mvr.2007.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Li C, Winnard PT, Jr., Takagi T, Artemov D, Bhujwalla ZM. Multimodal Image-Guided Enzyme/Prodrug Cancer Therapy. J. Am. Chem. Soc. 2006;128:15072–15073. doi: 10.1021/ja066199i. [DOI] [PubMed] [Google Scholar]
- 12.Ireton GC, McDermott G, Black ME, Stoddard BL. The Structure of Escherichia Coli Cytosine Deaminase. J. Mol. Biol. 2002;315:687–697. doi: 10.1006/jmbi.2001.5277. [DOI] [PubMed] [Google Scholar]
- 13.Li C, Penet MF, Winnard P, Jr., Artemov D, Bhujwalla ZM. Image-Guided Enzyme/Prodrug Cancer Therapy. Clin. Cancer Res. 2008;14:515–522. doi: 10.1158/1078-0432.CCR-07-1837. [DOI] [PubMed] [Google Scholar]
- 14.Penet MF, Mikhaylova M, Li C, Krishnamachary B, Glunde K, Pathak AP, Bhujwalla ZM. Applications of Molecular MRI and Optical Imaging in Cancer. Future Med. 2010;2:975–988. doi: 10.4155/fmc.10.25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Glunde K, Jacobs MA, Bhujwalla ZM. Choline Metabolism in Cancer: Implications for Diagnosis and Therapy. Expert Rev. Mol. Diagn. 2006;6:821–829. doi: 10.1586/14737159.6.6.821. [DOI] [PubMed] [Google Scholar]
- 16.Ramirez de Molina A, Gutierrez R, Ramos MA, Silva JM, Silva J, Bonilla F, Sanchez JJ, Lacal JC. Increased Choline Kinase Activity in Human Breast Carcinomas: Clinical Evidence for A Potential Novel Antitumor Strategy. Oncogene. 2002;21:4317–4322. doi: 10.1038/sj.onc.1205556. [DOI] [PubMed] [Google Scholar]
- 17.Ramirez de Molina A, Rodriguez-Gonzalez A, Gutierrez R, Martinez-Pineiro L, Sanchez J, Bonilla F, Rosell R, Lacal J. Overexpression of Choline Kinase is A Frequent Feature in Human Tumor-Derived Cell Lines and in Lung, Prostate, and Colorectal Human Cancers. Biophys. Res. Commun. 2002;296:580–583. doi: 10.1016/s0006-291x(02)00920-8. [DOI] [PubMed] [Google Scholar]
- 18.A boagye EO, Bhujwalla ZM. Malignant Transformation Alters Membrane Choline Phospholipid Metabolism of Human Mammary Epithelial Cells. Cancer Res. 1999;59:80–84. [PubMed] [Google Scholar]
- 19.Podo F. Tumour Phospholipid Metabolism. NMR Biomed. 1999;12:413–439. doi: 10.1002/(sici)1099-1492(199911)12:7<413::aid-nbm587>3.0.co;2-u. [DOI] [PubMed] [Google Scholar]
- 20.Gallego-Ortega D, Ramirez de Molina A, Ramos MA, Valdes-Mora F, Barderas MG, Sarmentero-Estrada J, Lacal JC. Differential Role of Human Choline Kinase Alpha and Beta Enzymes in Lipid Metabolism: Implications in Cancer Onset and Treatment. PLoS One. 2009;4:e7819. doi: 10.1371/journal.pone.0007819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Nelson SJ, Graves E, Pirzkall A, Li X, Antiniw Chan A, Vigneron DB, McKnight TR. In Vivo Molecular Imaging for Planning Radiation Therapy of Gliomas: an Application of 1H MRSI. J. Magn. Reson. Imaging. 2002;16:464–476. doi: 10.1002/jmri.10183. [DOI] [PubMed] [Google Scholar]
- 22.Katz-Brull R, Lavin PT, Lenkinski RE. Clinical Utility of Proton Magnetic Resonance Spectroscopy in Characterizing Breast Lesions. J. Natl. Cancer Inst. 2002;94:1197–1203. doi: 10.1093/jnci/94.16.1197. [DOI] [PubMed] [Google Scholar]
- 23.Negendank W. Studies of Human Tumors by MRS: A Review. NMR Biomed. 1992;5:303–324. doi: 10.1002/nbm.1940050518. [DOI] [PubMed] [Google Scholar]
- 24.Glunde K, Artemov D, Penet MF, Jacobs MA, Bhujwalla ZM. Magnetic Resonance Spectroscopy in Metabolic and Molecular Imaging and Diagnosis of Cancer. Chem. Rev. 2010;110:3043–3059. doi: 10.1021/cr9004007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Glunde K, Ackerstaff E, Mori N, Jacobs MA, Bhujwalla ZM. Choline Phospholipid Metabolism in Cancer: Consequences for Molecular Pharmaceutical Interventions. Mol. Pharm. 2006;3:496–506. doi: 10.1021/mp060067e. [DOI] [PubMed] [Google Scholar]
- 26.Rodriguez-Gonzalez A, Ramirez de Molina A, Fernandez F, Ramos MA, del Carmen Nunez M, Campos J, Lacal JC. Inhibition of Choline Kinase as A Specific Cytotoxic Strategy in Oncogene-Transformed Cells. Oncogene. 2003;22:8803–8812. doi: 10.1038/sj.onc.1207062. [DOI] [PubMed] [Google Scholar]
- 27.Rodriguez-Gonzalez A, Ramirez de Molina A, Fernandez F, Lacal JC. Choline Kinase Inhibition Induces the Increase in Ceramides Resulting in A Highly Specific and Selective Ctotoxic Antitumoral Strategy as A Potential Mechanism of Action. Oncogene. 2004;23:8247–8259. doi: 10.1038/sj.onc.1208045. [DOI] [PubMed] [Google Scholar]
- 28.Mori N, Glunde K, Takagi T, Raman V, Bhujwalla ZM. Choline Kinase Down-Regulation Increases the Effect of 5-Fluorouracil in Breast Cancer Cells. Cancer Res. 2007;67:11284–11290. doi: 10.1158/0008-5472.CAN-07-2728. [DOI] [PubMed] [Google Scholar]
- 29.Glunde K, Raman V, Mori N, Bhujwalla ZM. RNA Interference-Mediated Choline Kinase Suppression in Breast Cancer Cells Induces Differentiation and Reduces Proliferation. Cancer Res. 2005;65:11034–11043. doi: 10.1158/0008-5472.CAN-05-1807. [DOI] [PubMed] [Google Scholar]
- 30.Gowda DC, Bhavanandan VP, Davidson EA. Structures of O-Linked Oligosaccharides Present in the Proteoglycans Secreted by Human Mammary Epithelial Cells. J. Biol. Chem. 1986;261:4935–4939. [PubMed] [Google Scholar]
- 31.Gowda DC, Bhavanandan VP, Davidson EA. Structures of O-Linked Oligosaccharides Present in the Proteoglycans Secreted by Human Mammary Epithelial Cells. J. Biol. Chem. 1986;261:4926–4934. [PubMed] [Google Scholar]
- 32.Li C, Wildes F, Winnard P, Jr., Artemov D, Penet MF, Bhujwalla ZM. Conjugation of Poly-L-Lysine to Bacterial Cytosine Deaminase Improves the Efficacy of Enzyme/Prodrug Cancer Therapy. J. Med. Chem. 2008;51:3572–3582. doi: 10.1021/jm800288h. [DOI] [PubMed] [Google Scholar]
- 33.Hamstra DA, Lee KC, Tychewicz JM, Schepkin VD, Moffat BA, Chen M, Dornfeld KJ, Lawrence TS, Chenevert TL, Ross BD, et al. The Use of 19F Spectroscopy and Diffusion-Weighted MRI to Evaluate Differences in Gene-Dependent Enzyme Prodrug Therapies. Mol. Ther. 2004;10:916–928. doi: 10.1016/j.ymthe.2004.07.022. [DOI] [PubMed] [Google Scholar]
- 34.Lutz NW, Naser-Hijazi B, Koroma S, Berger MR, Hull WE. Fluoropyrimidine Chemotherapy in A Rat Model: Comparison of Fluorouracil Metabolite Profiles Determined by High-Field 19F-NMR Spectroscopy of Tissues ex vivo with Therapy Response and Toxicity for Locoregional vs Systemic Infusion Protocols. NMR Biomed. 2004;17:101–131. doi: 10.1002/nbm.880. [DOI] [PubMed] [Google Scholar]
- 35.Mikhaylova M, Stasinopoulos I, Kato Y, Artemov D, Bhujwalla ZM. Imaging of Cationic Multifunctional Liposome-Mediated Delivery of COX-2 siRNA. Cancer Gene Ther. 2009;16:217–226. doi: 10.1038/cgt.2008.79. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kim SH, Jeong JH, Lee SH, Kim SW, Park TG. Local and Systemic Delivery of VEGF siRNA Using Polyelectrolyte Complex Micelles for Effective Treatment of Cancer. J. Control Release. 2008;129:107–116. doi: 10.1016/j.jconrel.2008.03.008. [DOI] [PubMed] [Google Scholar]
- 37.Medarova Z, Pham W, Farrar C, Petkova V, Moore A. In Vivo Imaging of siRNA Delivery and Silencing in Tumors. Nat. Med. 2007;13:372–377. doi: 10.1038/nm1486. [DOI] [PubMed] [Google Scholar]
- 38.Stratta P, Canavese C, Aime S. Gadolinium-Enhanced Magnetic Resonance Imaging, Renal Failure and Nephrogenic Systemic Fibrosis/Nephrogenic Fibrosing Dermopathy. Curr. Med. Chem. 2008;15:1229–1235. doi: 10.2174/092986708784310396. [DOI] [PubMed] [Google Scholar]
- 39.Boussif O, Lezoualc'h F, Zanta MA, Mergny MD, Scherman D, Demeneix B, Behr JP. A Versatile Vector for Gene and Oligonucleotide Transfer into Cells in Culture and in Vivo: Polyethylenimine. Proc. Natl. Acad. Sci. U S A. 1995;92:7297–7301. doi: 10.1073/pnas.92.16.7297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Petersen H, Fechner PM, Martin AL, Kunath K, Stolnik S, Roberts CJ, Fischer D, Davies MC, Kissel T. Polyethylenimine-Graft-Poly(Ethylene Glycol) Copolymers: Influence of Copolymer Block Structure on DNA Complexation and Biological Activities as Gene Delivery System. Bioconjug. Chem. 2002;13:845–854. doi: 10.1021/bc025529v. [DOI] [PubMed] [Google Scholar]
- 41.Chollet P, Favrot MC, Hurbin A, Coll JL. Side-Effects of A Systemic Injection of Linear Polyethylenimine-DNA Complexes. J. Gene Med. 2002;4:84–91. doi: 10.1002/jgm.237. [DOI] [PubMed] [Google Scholar]
- 42.Greish K. Enhanced Permeability and Retention of Macromolecular Drugs in Solid Tumors: a Royal Gate for Targeted Anticancer Nanomedicines. J. Drug Target. 2007;15:457–464. doi: 10.1080/10611860701539584. [DOI] [PubMed] [Google Scholar]
- 43.Delehedde M, Deudon E, Boilly B, Hondermarck H. Production of Sulfated Proteoglycans by Human Breast Cancer Cell Lines: Binding to Fibroblast Growth Factor-2. J. Cell Biochem. 1997;64:605–617. [PubMed] [Google Scholar]
- 44.Huber BE, Austin EA, Richards CA, Davis ST, Good SS. Metabolism of 5-Fluorocytosine to 5-Fluorouracil in Human Colorectal Tumor Cells Transduced with the Cytosine Deaminase Gene: Significant Antitumor Effects when only A Small Percentage of Tumor Cells Express Cytosine Deaminase. Proc. Natl. Acad. Sci. U S A. 1994;91:8302–8306. doi: 10.1073/pnas.91.17.8302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Longley DB, Harkin DP, Johnston PG. 5-Fluorouracil: Mechanisms of Action and Clinical Strategies. Nat. Rev. Cancer. 2003;3:330–338. doi: 10.1038/nrc1074. [DOI] [PubMed] [Google Scholar]
- 46.Dachs GU, Tupper J, Tozer GM. From Bench to Bedside for Gene-Directed Enzyme Prodrug Therapy of Cancer. Anticancer Drugs. 2005;16:349–359. doi: 10.1097/00001813-200504000-00001. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.