Skip to main content
Oncotarget logoLink to Oncotarget
. 2016 Oct 24;7(47):76635–76646. doi: 10.18632/oncotarget.12850

Immune activity and biodistribution of polypeptide K237 and folic acid conjugated amphiphilic PEG-PLGA copolymer nanoparticles radiolabeled with 99mTc

Zelai He 1,3,#, Xiangyu Zhang 4,#, Jingwen Huang 1,3,#, Yufeng Wu 5, Xuanzhang Huang 1, Jie Chen 1, Junyong Xia 6, Hao Jiang 3, Jing Ma 2, Jian Wu 1
PMCID: PMC5363536  PMID: 27791199

Abstract

In a previous study, amphiphilic copolymer, polypeptide K237 (HTMYYHHYQHHL) and folic acid (FA) modified poly(ethylene glycol)-poly(lactic-co-glycolic acid) (K237/FA-PEG-PLGA) nanoparticles were developed and studied as a drug carrier. To further promote the clinical application of K237/FA-PEG-PLGA nanoparticles and provide guidance for future research, we need to examine their specific biodistribution in vivo. In this study, K237/FA-PEG-PLGA nanoparticles were effectively labeled by a direct method with Technetium-99m (99mTc) using stannous chloride as a reducing agent. The optimal stability of the labeled nanoparticles was determined by evaluating their radiochemical purity in serum, physiological saline, diethylenetriaminepentaacetic acid (DTPA) and cysteine solutions. The affinity of ligands and receptors was elicited by cell binding and blocking experiments in KDR/folate receptor high expressing SKOV-3 ovarian cancer cells. The nanoparticles biodistribution was studied after intravenous administration in healthy mice xenografted with SKOV-3 cells. A higher percent injected dose per gram of tissue (% ID/g) was observed in liver, kidney, spleen, blood and tumor at 3 and 9 h post-injection. Scintigraphic images revealed that the radioactivity was mainly concentrated in tumor, liver, kidney and bladder; and in the heart, lung, and muscle was significantly lower at 3 h. The radioactivity distribution in the images is consistent with the in vivo biodistribution data. Our works demonstrated that K237/FA-PEG-PLGA nanoparticles have great potential as biodegradable drug carriers, especially for tumors expressing the folate and KDr receptor.

Keywords: K237, folate, PEG-PLGA, nanoparticles, biodistribution

INTRODUCTION

Technetium-99m (99mTc; half-life, 6.02 h; γ-energy, 140.5 KeV) is a commonly used nuclide in biodistribution, drug tracing and molecular imaging applications due to its low cost, excellent availability, little impact on drug biochemical properties, photon energy that is nearly ideal for single-photon emission computed tomography (SPECT) and low absorbed-dose burden to the patients.

In this study, an amphiphilic polymer, namely peptides K237 (HTMYYHHYQHHL) (target the vascular endothelial growth factor receptor-2, abbreviation: VEGFR-2 or KDR) and folic acid (FA) modified poly(ethylene glycol)-poly(lactic-co-glycolic acid) (K237/FA-PEG-PLGA), was used to prepare nanoparticles (NPs) which can serve as favorable carriers for the delivery of certain drugs [14]. In this delivery system, the covalent conjugation of K237 and FA to the NPs confers them the ability to actively bind the KDR receptor and folate receptor (FR). Binding to the receptors leads to a greater uptake of the NPs by KDR/FR-overexpressing tumor cells while virtually ignoring normal tissues, thereby, increasing tumor cell specificity, greatly enhancing antitumor efficacy, and dramatically reducing potentially dangerous side effects [58]. Polyethylene glycol (PEG) functions as the outer corona and prolongs the circulation time of the NPs in blood by reducing non-specific interactions with blood components [917]. The PLGA hydrophobic component serves as a reservoir for lipophilic drug, while the anionic component provides the ability to strong electrostatic interaction with cationic drugs [18, 19]. However, the biodistribution of K237/FA-PEG-PLGA NPs has not yet been specifically and quantized studied in ovarian cancer model by using radioisotope 99mTc. Accordingly, we used the radioisotope 99mTc to label the delivery system and study the distribution of radioactivity in various tissues following administration of the labelled NPs by performing gamma imaging of the whole body at predetermined time point.

RESULTS AND DISCUSSION

Physics characterization of NPs

The K237/FA-PEG-PLGA NPs have a rigid structure due to ionic interaction among the base amino groups at the amino-terminus of PEG-PLGA. The mean diameter of the K237/FA-PEG-PLGA (LA/GA = 60/40, 70/30, 80/20) NPs was 128.7 ± 13.9, 114.6 ± 10.3, and 104.2 ± 9.6 nm, respectively, and the ζ potential was −23.53 ± 2.79, −18.71 ± 1.84, and −16.91 ± 2.08 mV, respectively. Meantime, the polydispersity was 0.18 ± 0.03, 0.17 ± 0.03 and 0.14 ± 0.02. respectively. The mean size and polydispersity index values indicate the narrow size and homogenous distributions of the particles. The ζ potential values indicate the stability of the nanodispersions. The presence of PEG chains in the outer shell layer was used to improve the stability and biocompatibility of the NPs [2023]. A TEM photograph, presented in Figure 1, shows that the NPs were approximately round, smooth, uniform size and exhibited no agglomeration. And there were not obvious changes after 99mTc label NPs.

Figure 1. TEM and DLS characterization of the NPs.

Figure 1

The K237/FA-PEG-PLGA (LA/GA = 60/40) NPs (A) and 99mTc-K237/FA-PEG-PLGA (LA/GA = 60/40) NPs (B) are spherical and uniform size. K237/FA-PEG-PLGA (LA/GA = 60/40) NPs have a diameter of about 130 nm (C), and negative zeta potential (D).

Radiolabeling of NPs with 99mTc

The NPs were labeled with 99mTc with a high labeling efficiency by a direct method. In the labeling process, the amount of stannous chloride and pH value were critical factors influencing labeling efficiency. The amount of stannous chloride affected the ratio of reduced/hydrolyzed (R/H) 99mTc and free 99mTc. Thus, higher amounts of stannous chloride could lead to formation of radioactive colloids which are undesirable, while lower amounts of stannous chloride could lead to poor labeling efficiency. The influence of stannous chloride on the labeling efficiency and the R/H of 99mTc is shown in Table 1. In this study, the aim was to determine the optimal amount of stannous chloride required for higher labeling efficiency with lower free 99mTc and R/H of 99mTc. The study found that 20 μg was the optimal amount required for all NPs preparations. The optimal pH value and incubation time of the NPs, which can obtain high labeling efficiency, was 7.0 and 15 min, respectively. To optimize the above parameters, quality control tests were performed by TLC using ITLC strips.

Table 1. Influence of the amount of stannous chloride on the labeling efficiency of NPs.

SnCl2·2H2O (μg) 20 30 50 100
K237/FA-PEG-PLGA (LA/GA = 60/40)
% Labeled (mean ± SD) 97.95 ± 1.13 95.88 ± 2.73 94.3 ± 1.90 86.92 ± 2.85
% colloids (mean ± SD) 0.37 ± 0.35 1.16 ± 0.87 1.77 ± 0.55 2.71 ± 1.83
% free (mean ± SD) 1.68 ± 0.44 2.96 ± 1.07 3.93 ± 1.61 10.37 ± 3.32
K237/FA-PEG-PLGA (LA/GA = 70/30)
% Labeled (mean ± SD) 96.56 ± 3.66 94.12 ± 3.12 93.58 ± 3.16 84.12 ± 3.24
% colloids (mean ± SD) 1.08 ± 0.36 2.03 ± 0.82 2.37 ± 1.00 4.06 ± 2.75
% free (mean ± SD) 2.36 ± 1.42 3.75 ± 1.28 4.05 ± 0.78 11.82 ± 2.47
K237/FA-PEG-PLGA (LA/GA = 80/20)
% Labeled (mean ± SD) 95.40 ± 2.29 94.39 ± 1.93 93.26 ± 3.19 82.98 ± 2.70
% colloids (mean ± SD) 1.73 ± 0.72 2.099 ± 0.54 2.56 ± 0.82 4.75 ± 2.50
% free (mean ± SD) 2.87 ± 0.72 3.52 ± 1.86 4.18 ± 2.04 12.27 ± 3.43

Stability of labeled NPs in vitro

The 99mTc-labeled NPs were assessed for their stability in vitro after incubation with healthy human serum and 0.9% NaCl solutions. These conditions were selected to mimic the in vivo internal environment, physiological pH, in vitro storage and applied environment. The human serum contains many kinds of proteins which can chelate and bind to 99mTc, affect the stability of the labeled NPs in blood when the labeled NPs are injected intravenously. If the labeled NPs were stable in serum, markers can be used for in vivo biodistribution studies.

The labeling efficiency of the three kinds of NPs, namely LA/GA = 60/40, 70/30 and 80/20, in a 0.9% NaCl solution was 95.1%, 94.26%, 93.03%, respectively, at 4 h, and 89.74%, 90.63%, 90.05%, respectively, at 24 h (Figure 2A). The labeling efficiency in serum was 94.28%, 94.67%, 93.95%, respectively, at 4 h, and 88.94%, 89.53%, 88.31%, respectively, at 24 h (Figure 2B). These results indicate that the three kinds of NPs were quite stable in serum and normal saline within 24 h.

Figure 2. In vitro stability studies of the 99mTc-K237/FA-PEG-PLGA NPs in (A) physiological saline and (B) human serum.

Figure 2

DTPA and cysteine challenge

The strength of the 99mTc binding to NPs in 99mTc-labeled NPs was tested with 10, 30, 50 mM of DTPA or cysteine, which may indirectly confirm that no trans-chelation of the metal occurred in such physiological environment. The results indicated that the labeling efficiency of the NPs was not altered much in presence of DTPA (Figure 3A) or cysteine (Figure 3B). Indeed, an evaluation of these results revealed that only 1%–2% transchelation occurred when incubated with 10 mM of DTPA or cysteine; while incubation for 1 h with 50 mM of DTPA or cysteine, the transchelation was only around 4–5% with DTPA and less than 4% with cysteine, indicating the high stability of the labeled NPs.

Figure 3. Determination of the in vitro stability of the 99mTc-K237/FA-PEG-PLGA (LA/GA = 60/40, 70/30, 80/20) NPs by the (A) DTPA and (B) cysteine challenge test.

Figure 3

Cell binding and blocking experiments in vitro

The binding specificity of the 99mTc-K237/FA-PEG-PLGA NPs to the SKOV-3 cell line is shown in Tables 24. The results of the binding specificity tests indicated that the binding of the 99mTc-labeled NPs to FR-expressing cells was receptor-mediated, because the receptors could be blocked and their saturation by pre-incubation with an excess of FA can significantly decreased the binding of the radiolabeled NPs. However, the amount of the free 99mTcO4 binding to cells was negligible. The cell-associated immune activity of the 99mTc-K237/FA-PEG-PLGA (LA/GA = 60/40, 70/30, 80/20) NPs binding to the SKOV-3 cell line was 31.75%, 32.79% and 34.01%, respectively. The highest specific binding rate of the 99mTc-K237/FA-PEG-PLGA (LA/GA = 60/40, 70/30, 80/20) NPs binding to SKOV-3 cells was 32.28%, 34.13%, 36.72%, respectively. Additionally, the total and specific binding rates declined with a decrease of the density of the SKOV-3 cells. These results indicate that the labeled NPs have good bioactivity and specificity. Specifically, the 99mTc-K237/FA-PEG-PLGA (LA/GA = 80/20) NPs have the best bioactivation and specificify of the three kinds of NPs evaluated, although the difference was not statistically significant.

Table 2. The 99mTc-K237/FA-PEG-PLGA (LA/GA = 60/40) NPs binding rate (%) of SKOV-3 cells.

Number of SKOV-3 cells 99mTcO4 LA/GA = 60/40
Total binding Non-specific binding Specific binding
5 × 106 2.59 ± 0.47 36.14 ± 1.0 3.86 ± 0.13 32.28
1 × 106 2.30 ± 0.21 33.41 ± 0.18 3.57 ± 0.1 29.84
1 × 105 1.89 ± 0.53 30.48 ± 1.10 2.52 ± 0.32 27.96
5 × 104 1.58 ± 0.55 25.89 ± 1.70 1.69 ± 0.06 24.2
1 × 104 1.62 ± 0.71 21.37 ± 1.50 1.74 ± 0.88 19.63

Table 4. The 99mTc-K237/FA-PEG-PLGA (LA/GA = 80/20) NPs binding rate (%) of SKOV-3 cells.

Number of SKOV-3 cells LA/GA = 80/20
Total binding Non-specific binding Specific binding
5 × 106 40.56 ± 2.31 3.84 ± 0.47 36.72
5 × 105 33.08 ± 0.57 3.34 ± 0.40 29.74
1 × 105 29.95 ± 1.52 2.83 ± 0.02 27.12
5 × 104 27.17 ± 1.08 2.26 ± 0.06 24.91
1 × 104 21.85 ± 0.82 1.92 ± 0.79 19.93

Table 3. The 99mTc-K237/FA-PEG-PLGA (LA/GA = 70/30) NPs binding rate (%) of SKOV-3 cells.

Number of SKOV-3 cells LA/GA = 70/30
Total binding Non-specific binding Specific binding
5 × 106 37.89 ± 0.67 3.76 ± 0.21 34.13
1 × 106 35.99 ± 2.09 3.69 ± 0.20 32.3
1 × 105 29.65 ± 1.46 2.93 ± 0.16 26.72
5 × 104 24.73 ± 0.50 2.09 ± 0.03 22.64
1 × 104 20.75 ± 1.91 1.71 ± 0.25 19.04

In vivo studies

Biodistribution studies

Data on the comparative biodistribution of the 99mTc-labeled NPs in male BALB/c nu/nu mice xenografted with SKOV-3 cells at 3, and 9 h are presented in Table 5. The average radioactivity in the liver, and spleen, was 23.1 and 13.28%, respectively, at 3 h, and 6.50 and 2.45%, respectively, at 9 h. The 99mTc- K237/FA-PEG-PLGA (LA/GA = 80/20) NPs were found to be mainly concentrated in the mononuclear phagocyte system (MPS). The low level of radioactivity detected in the stomach suggests that the release of 99mTc in vivo was negligible. The high radioactivity in kidney, indicates that the 99mTc-labeled NPs were mainly metabolized through the urinary system. Meanwhile, the high radioactivity detected in blood, reveals the long cycle effects of the NPs, and suggests that it may be better to target tumors by the enhanced permeability and retention effect (EPR) and the binding of ligand and receptor.

Table 5. Biodistribution of the 99mTc-labeled NPs in male BALB/c nu/nu mice bearing SKOV-3 Xenografts, at 3 and 9 hours after intravenous injection.

Organ Uptake (% ID/g) Tumor-to-organ ratio
3 h 9 h 3 h 9 h
Liver 23.1 ± 1.84 6.50 ± 1.11 0.92 0.95
Kidney 22.73 ± 2.90 6.23 ± 0.96 0.93 0.99
Spleen 13.28 ± 0.81 2.45 ± 0.69* 1.6 2.51
Blood 13.18 ± 0.42* 2.20 ± 0.66* 1.61 2.79
Stomach 4.31 ± 0.20* 0.89 ± 0.39 4.93 6.9
Lung 0.88 ± 0.04* 0.16 ± 0.06* 24.16 38.38
Tumor 21.26 ± 1.27 6.14 ± 1.45
Bone 0.48 ± 0.14* 0.07 ± 0.03** 44.29 87.71
Thyroid 0.44 ± 0.02* 0.12 ± 0.04** 48.32 51.17
Heart 0.41 ± 0.12* 0.09 ± 0.02** 51.85 68.22
Intestines 0.40 ± 0.14* 0.11 ± 0.04* 53.15 55.82
Muscle 0.23 ± 0.07* 0.04 ± 0.01** 92.44 153.5
*

Significant difference of the % ID/g between tumor and other organs (p < 0.05).

**

Significant difference of the % ID/g between tumor and other organs (p < 0.01).

% ID/g = percent injected dose per gram of tissue.

γ-Camera imaging

The scintigraphic images of the 99mTc-K237/FA-PEG-PLGA (LA/GA =80/20) NPs were acquired at 3 and 9 h (Figure 4) after tail vein injection, and confirmed the results of the biodistribution experiments. These images reveal the high level of radioactivity accumulation in tumor, liver, kidney and bladder. The results of the region of interest (ROI), show that the T/NT of tumor and contralateral muscle conforms to the biodistribution experiments. The uptake of radioactivity by the bone marrow of the mice injected with 99mTc-K237/FA-PEG-PLGA (LA/GA = 80/20) NPs was low. Additionally, compared with the radioactivity accumulation at 3 h, after 9 h of the tail vein administration of the labeled NPs, the distribution in vivo was the same as the 3 h and the radioactivity was decreased in the liver, kidney, bladder and tumor.

Figure 4. γ-scintigraphic image of the SKOV3-bearing mice after 3 hours (A) and 9 hours (B) of the i.v. injection of 99mTc-K237/FA-PEG-PLGA (LA/GA = 80/20) NPs.

Figure 4

CONCLUSIONS

K237/FA-PEG-PLGA NPs with narrow size and homogenous distribution were successfully prepared using the W/O and solvent evaporation method. The NPs loaded with drug were also prepared using a similar method [24]. These approaches can be an alternative to improve the stability and solubility of drug, while enhancing the absorption and bioavailability of the loaded-drug by tumors. The K237/FA-PEG-PLGA NPs were labeled with 99mTc using a rapid and simple direct labeling procedure to achieve high labeling efficiency and stability within 24 h. Relatively high radioactivity were observed in blood, liver, kidney and tumor after i.v. administration, and high retention in blood were advantageous to increase the loaded-drug residence time. Scintigraphic images showed that the maximum uptake occurred in liver, kidney and tumor. In conclusion, the NPs could be a potential ideal drug delivery system (DDS) to improve the efficacy of the loaded-drug and reduce drug-associated toxic and side effects during cancer treatment.

MATERIALS AND METHODS

Materials

PEG, molecular weight (Mw) 2000, was obtained from Sigma-Aldrich Co., Ltd. (Shanghai, China). L-lactide and glycolide were purchased from Yuanshengrong Company (Beijing, China). Pluronic 188 (F68) was obtained from BASF (Ludwigshafen, Germany). Dialysis bags (MWCO 3500 Da) were purchased from Qcbio Science & Technologies Co., Ltd (Shanghai, China). N-hydroxysuccinimide (NHS) and 1,3-diisopropylcarbodiimide (DIC) were from Meloney Biotechnology Co., LTD (Dalian, China). FA was purchased from Mr. Ng Biological Technology Co., LTD (Nanjing, China). K237 peptide (HTMYYHHYQHHL) was synthesized by GL Biochem Ltd (Shanghai, China). Silica gel for thin-layer chromatography was from Qingdao Haiyang Chemical Co, Ltd (Qingdao, China). Diethylenetriaminepentaacetic acid (DTPA) and cysteine were obtained from Shanghai Yingrui Chemical Technology CO, Ltd (Shanghai, China). Cell culture media and reagents were purchased from Gibco (Grand Island, NY, USA), unless otherwise indicated. Dicyclohexylcarbodiimide (DCC), 4-dimethylaminopyridine (DMAP), SnCl2, ethyl acetate and other reagents and solvents were from Sinopharm Chemical Reagent Co, Ltd (Shanghai, China).

Cells culture and animals

The SKOV-3 (ovarian cancer cell) were cultured in Dulbecco's modified Eagle's medium (DMEM) (Gibco) supplemented with 10% fetal bovine serum (FBS), 100 U/mL penicillin and 100 μg/mL streptomycin, at a 37°C, in a humidified atmosphere of 5% CO2 [2527].

Healthy 4–6 week old male nude Balb/c mice (body weight: 20 ± 3.5 g) were obtained from the Fudan University. All experimental procedures were approved by the Animal Care and Use Committee at the Fudan University.

Synthesis of the K237/FA-PEG-PLGA polymer

The synthesis of the K237/FA-PEG-PLGA (LA/GA = 60/40, 70/30, 80/20) polymer (Mw 12,000) has been described in detail elsewhere [2831], following the steps depicted in Scheme 1. In brief, (1) the hydroxyl-terminated PEG-PLGA was synthesized; (2) the hydroxyl end-group was then converted to Boc-L-Phe; (3) the t-Butoxycarbonyl end-group was removed, followed by the synthesis of the amino-terminated PEG-PLGA; (4) the amino-terminated PEG-PLGA (200 μmol) was dissolved in DMSO (60 mL), then mixed with NHS (1,000 μmol), DIC (1,000 μmol), K237 (500 μmol) and FA (500 μmol) at 37°C. Following 24 hours incubation, the solution was mixed with 200 mL of distilled water and centrifuged at 3000 rpm. The supernatant was then collected, dialyzed and freeze-dried. The obtained product was dissolved in DMSO and the concentration of the conjugated k237/FA was determined. Various concentrations of K237/FA in DMSO were used as reference.

Scheme 1. Schematic depiction of K237/FA-PEG-PLGA copolymer synthesis.

Scheme 1

Preparation of K237/FA-PEG-PLGA NPs

The K237/FA-PEG-PLGA NPs were prepared using a water in oil (W/O) emulsion method. Briefly, 4 mg of K237/FA-PEG-PLGA were dissolved in 200 μL of ethyl acetate, followed by the addition of 2.0 ml of deionized water containing 1% (W/W) of F68. Subsequently, the mixture was homogenized and emulsified by ultrasonication (400 W, 6 times × 10s) with a JY 92-II ultrasonic processor (Ningbo Scientz Biotechnology Co, Ltd, China). The resulting emulsion was rotated and evaporated under 0.5 MPa and 37°C. After 30 min, the emulsion was stirred gently at room temperature to evaporate the left organic solvent. Finally, the NPs were isolated by centrifugation at 15000 rpm, at 4°C for 30 min, and the pelleted NPs were freeze dried [32, 33].

Physical characterization

The particle size and zeta potential (ζ) of the K237/FA-PEG-PLGA NPs were characterized using a ZetaSizer Nano ZS (Malvern Instruments Ltd., Malvern, UK). The average diameters and size distribution parameters of the NPs were obtained by dynamic light scattering. The ζ was determined under a He-Ne laser beam at a wavelength of 633.8 nm at room temperature.

The morphology of the NPs was examined with an H-800 transmission electron microscope (TEM) from Hitachi Ltd., (Tokyo, Japan). The samples were prepared by depositing 10 μL of NPs suspension on a 200 mesh, copper grid with a formvar film, and then air-drying at room temperature [3437].

Radiolabeling of K237/FA-PEG-PLGA NPs with 99mTc

Radiolabeling of the NPs was performed by a direct method using stannous chloride as a reducing agent. The effect of the amount of NPs and stannous chloride, the final pH of the preparation and the incubation time on the labeling efficiency was previously optimized by changing a parameter at a time and by performing quality-control tests for the labeled complex as described earlier [38]. The amount of stannous chloride required for high labeling efficiency and low radio colloids was optimized in preliminary experiments, whereby it was determined that a range of 20 to 100 μg of stannous chloride was optimal and thus was used in further experiments. Similarly to achieve optimal labeling efficiency, the amount of NPs, the pH of the reaction mixture and the incubation time were also investigated. Eventually, the most appropriate labeling protocol was found and can be described as follows. Briefly, 250 μL of NPs dispersion (2 mg/mL) were mixed separately with 20 μg of stannous chloride (40 mg/mL). After adjusting the pH of the mixture to 7.0 with sodium hydrogen carbonate (0.5 M), 50 μL of a 99mTcO4 solution (0.74–3.7 GBq), freshly eluted from a 99Mo-99mTc generator (Drytec, GE Healthcare), was added to each preparation, mixed gentle, and incubated for 15 min at room temperature. Final radioactivity concentration present in the preparation was examined using a well-type gamma ray spectrometer (Cobra II Inspector 5003; Canberra Packard Central Europe GmbH, Romania) [39].

Determination of labeling efficiency

The labeling efficiency of the NPs was determined by ascending thin layer chromatography (TLC) using instant thin-layer chromatography (ITLC) strips coated with silica gel and the test temperature was 25°C. The ITLC strips were used to determine the free 99mTc and percentage of radio colloids in the preparation. Based on these two parameters, the labeling efficiency of the preparation was calculated [40].

ITLC strips were spotted with 2~3 μL labeled complex at 1 cm above the bottom. These strips were advanced by using acetone as the mobile phase to determine the percentage of the labeled complex and a solvent (Vpyridine: Vacetic acid: Vwater = 3:5:1.5) as the mobile phase to determine free 99mTc and labeled NPs. The solvent front was allowed to reach to a height of approximately 6 to 8 cm from the origin. The radioactivity in the strip of Rf value = 0.1 to 1.0 was determined by well-type gamma ray spectrometer. The free 99mTc present in the preparation migrates to the top portion (Rf value about 0.8 to 1.0) of the ITLC strip, leaving the labeled NPs along with the radio colloids (reduced/hydrolyzed 99mTc) at the application point when using acetone as the mobile phase. The presence of radio colloids was determined by developing the ITLC strip using a solution of pyridine: acetic acid: water in volume proportion of 3:5:1.5. The reduced/hydrolyzed 99mTc present in the preparation remains at the point of application, while both the free 99mTc and labeled NPs migrate to the front with the solvent front [38]. The labeling efficiency was calculated by using the following equation:

Labeling efficiency (%) = [Bacetone/(T+B)acetone – Tpyridine/(T+B) pyridine] × 100%. Where, T and B are the radioactivity counts at the top and bottom of the strip, respectively.

Stability of labeled complexes

The stability of the 99mTc-labeled NPs was evaluated in vitro in human serum and normal saline by the ascending TLC technique. The freshly labeled complex (10 μL) was incubated with freshly collected human serum (90 μL) at 37°C. Following incubations for 1 h, 4 h, 9 h and 24 h, the samples were separated by ITLC using the above mentioned solvent systems.

DTPA and cysteine challenge

The in vitro stability studies of 99mTc-labeled NPs were performed using DTPA and cysteine as previously reported [24]. Briefly, fresh DTPA and cysteine solutions (10, 30, 50 mM, each) were prepared in 0.9% NaCl solutions. A 500 μL volume of the labeled NPs was incubated with the different concentrations of DTPA and cysteine for 1h at 37°C, while a 500 μL of 0.9% NaCl solution served as control. The effect of DTPA and cysteine on the labeling efficiency of the prepared complexes was analyzed by ITLC-silica gel strips using acetone as mobile phase. In this acetone system, the 99mTc-labeled NPs remain at the point of application (Rf = 0.0), while free pertechnetate (Rf = 0.8–1.0) and all known chemical forms of 99mTc-DTPA and 99mTc-cysteine complexes migrate upward (Rf = 0.7–1.0). After developing, each paper was cut into two halves, the top and bottom halves, and radioactivity in each half was measured using a gamma-ray spectrometer [41, 42].

Cell binding and blocking experiments in vitro

The specificity of the 99mTc-labeled NPs for receptor was assessed in vitro. SKOV-3 cells in the logarithmic phase of proliferation, 80–90% confluency, were detached with trypsin and resuspended at a cell concentration of 5 × 106, 1 × 106, 5 × 105, 1 × 105, 5 × 104, 1 × 104 cells/mL. A volume of 1 mL of cell suspension was transferred into a centrifuge tube, then 1.5 μg (0.37-2.22 MBq, 100 μL) of 99mTc-K237/FA-PEG-PLGA NPs in DMEM solution was added to each tube, followed by incubation for 1 h at 37°C, before the radioactivity count (T) was measured. Cells were collected by centrifugation (3000 rpm/min) for 10 min, at 4°C, washed twice with PBS (0.01 mol/L, pH = 7.4), and then the radioactivity of the combination with SKOV-3 cells (B) was measured. Meanwhile, non-specific binding assay was performed as above described. A total of 191 μg of FA (equivalent to 1000 times, compared with FA in 1.5 μg nanoparticles) were added to the different cell samples, followed by the addition of the same amount of 99mTc-K237/FA-PEG-PLGA NPs after incubation for 45 min at 37°C. After 1 h, the samples were centrifuged (3000 rpm/min) for 10 min, cells were collected and wash twice with PBS (0.01 mol/L, pH = 7.4), and then the radioactivity was measured. The specific cells binding rate (%) = the mean of total cells binding rate (B/T) −the mean of non-specific cells binding rate [4346]. The cells binding rate of the 99mTcO4 was determined as follows: a 100 μL (0.37–2.22 MBq) of 99mTcO4 solution was added to the cells suspension solution, then the other steps were as described above.

In vivo studies

Biodistribution studies

Previous studies have revealed that K237/FA-PEG-PLGA (LA/GA = 80/20) has better physicochemical properties and biocompatibility [2730, 4749]. Accordingly, the tumor-targeting properties of the preparations with the most favorable biodistribution, K237/FA-PEG-PLGA (LA/GA = 80/20) NPs was studied in mice xenografted with SKOV-3 cells. For inoculation, SKOV-3 cells (1 × 106) were implanted in the right hind leg of immunodeficient mice [5052]. Additionally, 3.7 MBq of 99mTc-labeled K237/FA-PEG-PLGA (LA/GA = 80/20) NPs in 150 μL of normal saline were administered into the mice tail vein. At 3 h and 9 h post-injection mice were sacrificed by cervical dislocation and tissue were dissected for measurement of biodistribution and tumor targeting. The radioactivity associated with the blood, heart, liver, kidney, tumor, lung, spleen, stomach, muscle, and bone tissues were examined with a gamma counter, together with a standard radioactive solution of known quantity administered at the time of each injection, which was considered as 100%. The radioactivity present in each tissue sample was expressed as percent injected dose per gram of tissue (% ID/g) (n = 6) [53, 54].

γ-Camera imaging

In vivo imaging was performed to obtain a visual confirmation of the biodistribution data. The SKOV-3 xenograft-bearing mice were injected with 100 μCi of 99mTc-K237/FA-PEG-PLGA (LA/GA = 80/20) NPs. Before imaging, mice were anesthetized with a mixture of 18.75 mg/kg ketamine hydrochloride and 0.5 mg/kg medetomidine hydrochloride. The accumulation of radioactivity in mice was monitored by imaging with a γ-camera (GE Healthcare, Cleveland, OH, USA) equipped with a low-energy high-resolution collimator. Static images were obtained by a 512×512 matrix and a pixel side length of 0.4 mm, resulting in a total imaging time of 757 seconds. [5558]

Statistics

Statistical analysis was performed using the SPSS 20.0 software (IBM Corp., Armonk, NY, USA). All results are expressed as mean ± standard deviation (SD) for the values obtained from a minimum of three independent experiments. All statistical analyses involving comparisons of multiple groups were performed using the one-way analysis of variance (ANOVA) and Tukey's post hoc test. All tests were considered statistically significant when the P value was less than 0.05.

Footnotes

CONFLICTS OF INTEREST

The work was supported by the funding from Wenzhou Science & Technology Bureau (No. Y20150049) and NSFC projects (No. 81602727 and No. 81501483).

REFERENCES

  • 1.Wang H, Xie H, Wu J, Wei X, Zhou L, Xu X, Zheng S. Structure-based rational design of prodrugs to enable their combination with polymeric nanoparticle delivery platforms for enhanced antitumor efficacy. Angew Chem Int Ed Engl. 2014;53:11532–11537. doi: 10.1002/anie.201406685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Li YJ, Dong M, Kong FM, Zhou JP. Folate-decorated anticancer drug and magnetic nanoparticles encapsulated polymeric carrier for liver cancer therapeutics. Int J Pharm. 2015;489:83–90. doi: 10.1016/j.ijpharm.2015.04.028. [DOI] [PubMed] [Google Scholar]
  • 3.Singh R, Kesharwani P, Mehra NK, Singh S, Banerjee S, Jain NK. Development and characterization of folate anchored Saquinavir entrapped PLGA nanoparticles for anti-tumor activity. Drug Dev Ind Pharm. 2015;41:1888–1901. doi: 10.3109/03639045.2015.1019355. [DOI] [PubMed] [Google Scholar]
  • 4.Wei K, Peng X, Zou F. Folate-decorated PEG-PLGA nanoparticles with silica shells for capecitabine controlled and targeted delivery. Int J Pharm. 2014;464:225–233. doi: 10.1016/j.ijpharm.2013.12.047. [DOI] [PubMed] [Google Scholar]
  • 5.Shen J, Putt KS, Visscher DW, Murphy L, Cohen C, Singhal S, Sandusky G, Feng Y, Dimitrov DS, Low PS. Assessment of folate receptor-β expression in human neoplastic tissues. Oncotarget. 2015;6:14700–14709. doi: 10.18632/oncotarget.3739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Shi Fan, Coffey Aaron M., Waddell Kevin W., Chekmenev Eduard Y., Goodson Boyd M. Nanoscale Catalysts for NMR Signal Enhancement by Reversible Exchange. The Journal of Physical Chemistry C. 2015;119:7525–7533. doi: 10.1021/acs.jpcc.5b02036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Iwamoto Takuya, Ogawa Yuta, Sun Lina, White Matthew Schuette, Glowacki Eric Daniel, Scharber Markus Clark, Sariciftci Niyazi Serdar, Manseki Kazuhiro, Sugiura Takashi, Yoshida Tsukasa. Electrochemical Self-Assembly of Nanostructured CuSCN/Rhodamine B Hybrid Thin Film and Its Dye-Sensitized Photocathodic Properties. The Journal of Physical Chemistry C. 2014;118:16581–16590. doi: 10.1021/jp412463v. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Wang H, Yin H, Yan F, Sun M, Du L, Peng W, Li Q, Feng Y, Zhou Y. Folate-mediated mitochondrial targeting with doxorubicin-polyrotaxane nanoparticles overcomes multidrug resistance. Oncotarget. 2015;6:2827–2842. doi: 10.18632/oncotarget.3090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Hu X, Gong X. A new route to fabricate biocompatible hydrogels with controlled drug delivery behavior. J Colloid Interface Sci. 2016;470:62–70. doi: 10.1016/j.jcis.2016.02.037. [DOI] [PubMed] [Google Scholar]
  • 10.Wang H, Xie H, Wu J, Wei X, Zhou L, Xu X, Zheng S. Structure-based rational design of prodrugs to enable their combination with polymeric nanoparticle delivery platforms for enhanced antitumor efficacy. Angew Chem Int Ed Engl. 2014;53:11532–11537. doi: 10.1002/anie.201406685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gong X, Gao C. Influence of salt on assembly and compression of PDADMAC/PSSMA polyelectrolyte multilayers. Phys Chem Chem Phys. 2009;11:11577–11586. doi: 10.1039/b915335g. [DOI] [PubMed] [Google Scholar]
  • 12.Wang J, Wang H, Li J, Liu Z, Xie H, Wei X, Lu D, Zhuang R, Xu X, Zheng S. iRGD-Decorated Polymeric Nanoparticles for the Efficient Delivery of Vandetanib to Hepatocellular Carcinoma: Preparation and in Vitro and in Vivo Evaluation. ACS Appl Mater Interfaces. 2016;8:19228–19237. doi: 10.1021/acsami.6b03166. [DOI] [PubMed] [Google Scholar]
  • 13.Huang Y, Jiang Y, Wang H, Wang J, Shin MC, Byun Y, He H, Liang Y, Yang VC. Curb challenges of the “Trojan Horse” approach: smart strategies in achieving effective yet safe cell-penetrating peptide-based drug delivery. Adv Drug Deliv Rev. 2013;65:1299–1315. doi: 10.1016/j.addr.2012.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yu Z, Xu Q, Dong C, Lee SS, Gao L, Li Y, D'Ortenzio M, Wu J. Self-Assembling Peptide Nanofibrous Hydrogel as a Versatile Drug Delivery Platform. Curr Pharm Des. 2015;21:4342–4354. doi: 10.2174/1381612821666150901104821. [DOI] [PubMed] [Google Scholar]
  • 15.Yu Z, Cai Z, Chen Q, Liu M, Ye L, Ren J, Liao W, Liu S. Engineering β-sheet peptide assemblies for biomedical applications. Biomater Sci. 2016;4:365–374. doi: 10.1039/c5bm00472a. [DOI] [PubMed] [Google Scholar]
  • 16.Yu Z, Schmaltz RM, Bozeman TC, Paul R, Rishel MJ, Tsosie KS, Hecht SM. Selective tumor cell targeting by the disaccharide moiety of bleomycin. J Am Chem Soc. 2013;135:2883–2886. doi: 10.1021/ja311090e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Sequeira Gonzalo, Vanzulli Silvia I, Rojas Paola, Lamb Caroline, Colombo Lucas, May María, Molinolo Alfredo, Lanari Claudia. The effectiveness of nano chemotherapeutic particles combined with mifepristone depends on the PR isoform ratio in preclinical models of breast cancer. Oncotarget. 2014;5:3246–3260. doi: 10.18632/oncotarget.1922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Olalde B., Aizpurua J. M., Garcí A., Bustero I., Obieta I., Jurado M. J. Single-Walled Carbon Nanotubes and Multiwalled Carbon Nanotubes Functionalized with Poly(L-lactic acid): a Comparative Study. The Journal of Physical Chemistry C. 2008;112:10663–10667. [Google Scholar]
  • 19.Taniguchi Y, Kawano K, Minowa T, Sugino T, Shimojo Y, Maitani Y. Enhanced antitumor efficacy of folate-linked liposomal doxorubicin with TGF-β type I receptor inhibitor. Cancer Sci. 2010;101:2207–2213. doi: 10.1111/j.1349-7006.2010.01646.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chang WC, Tai JT, Wang HF, Ho RM, Hsiao TC, Tsai DH. Surface PEGylation of Silver Nanoparticles: Kinetics of Simultaneous Surface Dissolution and Molecular Desorption. Langmuir. 2016;32:9807–9815. doi: 10.1021/acs.langmuir.6b02338. [DOI] [PubMed] [Google Scholar]
  • 21.Liu P, Zhang H, Wu X, Guo L, Wang F, Xia G, Chen B, Yin H, Wang Y, Li X. Tf-PEG-PLL-PLGA nanoparticles enhanced chemosensitivity for hypoxia-responsive tumor cells. Onco Targets Ther. 2016;9:5049–5059. doi: 10.2147/OTT.S108169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Okur AC, Erkoc P, Kizilel S. Targeting cancer cells via tumor-homing peptide CREKA functional PEG nanoparticles. Colloids Surf B Biointerfaces. 2016;147:191–200. doi: 10.1016/j.colsurfb.2016.08.005. [DOI] [PubMed] [Google Scholar]
  • 23.Colzani B, Speranza G, Dorati R, Conti B, Modena T, Bruni G, Zagato E, Vermeulen L, Dakwar GR, Braeckmans K, Genta I. Design of smart GE11-PLGA/PEG-PLGA blend nanoparticulate platforms for parenteral administration of hydrophilic macromolecular drugs: synthesis, preparation and in vitro/ex vivo characterization. Int J Pharm. 2016;511:1112–123. doi: 10.1016/j.ijpharm.2016.08.011. [DOI] [PubMed] [Google Scholar]
  • 24.He Zelai, Shi Zengfang, Sun Wenjie, Ma Jing, Xia Junyong, Zhang Xiangyu, Chen Wenjun, Huang Jingwen. The biosafety of folic acid conjugated amphiphilic PEG-PLGA copolymer nanoparticles of co-delivery cisplatin and paclitaxel and the treatment effect for non-small lung cancer. Tumor Biology. 2015;37:7809–7821. doi: 10.1007/s13277-015-4634-1. [DOI] [PubMed] [Google Scholar]
  • 25.Müller C, Reddy JA, Leamon CP, Schibli R. Effects of the antifolates pemetrexed and CB3717 on the tissue distribution of (99m)Tc-EC20 in xenografted and syngeneic tumor-bearing mice. Mol Pharm. 2010;7:597–604. doi: 10.1021/mp900296k. [DOI] [PubMed] [Google Scholar]
  • 26.Reddy JA, Westrick E, Santhapuram HK, Howard SJ, Miller ML, Vetzel M, Vlahov I, Chari RV, Goldmacher VS, Leamon CP. Folate receptor-specific antitumor activity of EC131, a folate-maytansinoid conjugate. Cancer Res. 2007;67:6376–6382. doi: 10.1158/0008-5472.CAN-06-3894. [DOI] [PubMed] [Google Scholar]
  • 27.He Z, Sun Y, Cao J, Duan Y. Degradation behavior and biosafety studies of the mPEG-PLGA-PLL copolymer. Phys Chem Chem Phys. 2016;18:11986–1999. doi: 10.1039/c6cp00767h. [DOI] [PubMed] [Google Scholar]
  • 28.He Z, Wang Q, Sun Y, Shen M, Zhu M, Gu M, Wang Y, Duan Y. The biocompatibility evaluation of mPEG-PLGA-PLL copolymer and different LA/GA ratio effects for biocompatibility. J Biomater Sci Polym Ed. 2014;25:943–964. doi: 10.1080/09205063.2014.914705. [DOI] [PubMed] [Google Scholar]
  • 29.He Z, Sun Y, Wang Q, Shen M, Zhu M, Li F, Duan Y. Degradation and Bio-Safety Evaluation of mPEG-PLGA-PLL Copolymer-Prepared Nanoparticles. The Journal of Physical Chemistry C. 2015;119:3348–3362. [Google Scholar]
  • 30.He Z, Huang J, Xu Y, Zhang X, Teng Y, Huang C, Wu Y, Zhang X, Zhang H, Sun W. Co-delivery of cisplatin and paclitaxel by folic acid conjugated amphiphilic PEG-PLGA copolymer nanoparticles for the treatment of non-small lung cancer. Oncotarget. 2015;6:42150–42168. doi: 10.18632/oncotarget.6243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Snehalatha M, Venugopal K, Saha RN, Babbar AK, Sharma RK. Etoposide loaded PLGA and PCL nanoparticles II: biodistribution and pharmacokinetics after radiolabeling withTc-99m. Drug Deliv. 2008;15:277–287. doi: 10.1080/10717540802006500. [DOI] [PubMed] [Google Scholar]
  • 32.Yu Z, Paul R, Bhattacharya C, Bozeman TC, Rishel MJ, Hecht SM. Structural features facilitating tumor cell targeting and internalization by bleomycin and its disaccharide. Biochemistry. 2015;54:3100–3109. doi: 10.1021/acs.biochem.5b00277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Huang Y, Yang X, Xu T, Kong Q, Zhang Y, Shen Y, Wei Y, Wang G, Chang KJ. Overcoming resistance to TRAIL-induced apoptosis in solid tumor cells by simultaneously targeting death receptors, c-FLIP and IAPs. Int J Oncol. 2016;49:153–163. doi: 10.3892/ijo.2016.3525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.An FF, Deng ZJ, Ye J, Zhang JF, Yang YL, Li CH, Zheng CJ, Zhang XH. Aggregation-induced near-infrared absorption of squaraine dye in an albumin nanocomplex for photoacoustic tomography in vivo. ACS Appl Mater Interfaces. 2014;6:17985–17992. doi: 10.1021/am504816h. [DOI] [PubMed] [Google Scholar]
  • 35.AN Fei-Fei, YE Jun, ZHANG Jin-Feng, YANG Yin-Long, ZHENG Cai-Jun, ZHANG Xiu-Juan, LIU Zhuang, LEE Chun-Sing, ZHANG Xiao-Hong. Non-blinking, highly luminescent, pH- and heavy-metal-ion-stable organic nanodots for bio-imaging. Journal of Materials Chemistry B. 2013;1:3144–3151. doi: 10.1039/c3tb20271b. [DOI] [PubMed] [Google Scholar]
  • 36.Ding Rui, Yu Xinjun, Wang Peng, Zhang Jinnan, Zhou Yan, Cao Xian, Tang Hong, Ayres Neil, Zhang Peng. Hybrid photosensitizer based on amphiphilic block copolymer stabilized silver nanoparticles for highly efficient photodynamic inactivation of bacteria. RSC Adv. 2016;6:20392–20398. [Google Scholar]
  • 37.Han R, Sun Y, Kang C, Sun H, Wei W. Amphiphilic dendritic nanomicelle-mediated co-delivery of 5-fluorouracil and doxorubicin for enhancedtherapeutic efficacy. J Drug Target. 2016. [DOI] [PubMed]
  • 38.Vaneycken I, Govaert J, Vincke C, Caveliers V, Lahoutte T, De Baetselier P, Raes G, Bossuyt A, Muyldermans S, Devoogdt N. In vitro analysis and in vivo tumor targeting of a humanized, grafted nanobody in mice using pinhole SPECT/micro-CT. J Nucl Med. 2010;51:1099–1106. doi: 10.2967/jnumed.109.069823. [DOI] [PubMed] [Google Scholar]
  • 39.Kakkar D, Tiwari AK, Chuttani K, Kaul A, Singh H, Mishra AK. Comparative evaluation of glutamate-sensitive radiopharmaceuticals: Technetium-99m-glutamic acid andtechnetium-99m-diethylenetriaminepentaacetic acid-bis(glutamate) conjugate for tumor imaging. Cancer Biother Radiopharm. 2010;25:645–655. doi: 10.1089/cbr.2010.0848. [DOI] [PubMed] [Google Scholar]
  • 40.Reddy LH, Sharma RK, Murthy RS. Enhanced tumour uptake of doxorubicin loaded poly(butyl cyanoacrylate) nanoparticles in mice bearing Dalton'slymphoma tumour. J Drug Target. 2004;12:443–451. doi: 10.1080/10611860400011406. [DOI] [PubMed] [Google Scholar]
  • 41.Lin LT, Chang CY, Chang CH, Wang HE, Chiou SH, Liu RS, Lee TW, Lee YJ. Involvement of let-7 microRNA for the therapeutic effects of Rhenium-188-embedded liposomalnanoparticles on orthotopic human head and neck cancer model. Oncotarget. 2016;7:65782–65796. doi: 10.18632/oncotarget.11666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Jung KH, Lee KH, Paik JY, Ko BH, Bae JS, Lee BC, Sung HJ, Kim DH, Choe YS, Chi DY. Favorable Biokinetic and Tumor-Targeting Properties of 99mTc-Labeled Glucosamino RGD and Effect of Paclitaxel Therapy. J Nucl Med. 2006;47:2000–2007. [PubMed] [Google Scholar]
  • 43.Zannetti A, Del Vecchio S, Iommelli F, Del Gatto A, De Luca S, Zaccaro L, Papaccioli A, Sommella J, Panico M, Speranza A, Grieco P, Novellino E, Saviano M, Pedone C, Salvatore M. Imaging of avβ3 Expression by a Bifunctional Chimeric RGD Peptide not Cross-Reacting with avβ5. Clinical Cancer Research. 2009;15:5224–5233. doi: 10.1158/1078-0432.CCR-08-3270. [DOI] [PubMed] [Google Scholar]
  • 44.Wållberg H, Orlova A, Altai M, Hosseinimehr SJ, Widström C, Malmberg J, Ståhl S, Tolmachev V. Molecular Design and Optimization of 99mTc-Labeled Recombinant Affibody Molecules Improves Their Biodistribution and Imaging Properties. J Nucl Med. 2011;52:461–469. doi: 10.2967/jnumed.110.083592. [DOI] [PubMed] [Google Scholar]
  • 45.Gainkam LO, Huang L, Caveliers V, Keyaerts M, Hernot S, Vaneycken I, Vanhove C, Revets H, De Baetselier P, Lahoutte T. Comparison of the Biodistribution and Tumor Targeting of Two 99mTc-Labeled Anti-EGFR Nanobodies in Mice, Using Pinhole SPECT/Micro-CT. J Nucl Med. 2008;49:788–795. doi: 10.2967/jnumed.107.048538. [DOI] [PubMed] [Google Scholar]
  • 46.Liu X, Jiang C, Zhang D, Gao M, Peng F, Huang D, Sun Z, Ni Y, Zhang J, Yin Z. Tumor necrosis targeted radiotherapy of non-small cell lung cancer using radioiodinated protohypericin in amouse model. Oncotarget. 2015;6:26400–26410. doi: 10.18632/oncotarget.4568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Shi C, Liu P, Liu X, Feng X, Fu D. The effects of mPEG proportion and LA/GA ratio on degradation and drug release behaviors of PLGA-mPEG microparticles. Pharmazie. 2016;71:243–246. [PubMed] [Google Scholar]
  • 48.Yan N, Zhang X, Cai Q, Yang X, Zhou X, Wang B, Deng X. The Effects of Lactidyl/Glycolidyl Ratio and Molecular Weight of Poly(D,L -Lactide-co-Glycolide) on the Tetracycline Entrapment and Release Kinetics of Drug-Loaded Nanofibers. J Biomater Sci Polym Ed. 2012;23:1005–1019. doi: 10.1163/092050611X568223. [DOI] [PubMed] [Google Scholar]
  • 49.Hong Z, Zhang P, Liu A, Chen L, Chen X, Jing X. Composites of poly(lactide-co-glycolide) and the surface modified carbonated hydroxyapatite nanoparticles. J Biomed Mater Res A. 2007;81:515–522. doi: 10.1002/jbm.a.31038. [DOI] [PubMed] [Google Scholar]
  • 50.Pal I, Dey KK, Chaurasia M, Parida S, Das S, Rajesh Y, Sharma K, Chowdhury T, Mandal M. Cooperative effect of BI-69A11 and celecoxib enhances radiosensitization by modulating DNA damage repair in colon carcinoma. Tumour Biol. 2016;37:6389–6402. doi: 10.1007/s13277-015-4399-6. [DOI] [PubMed] [Google Scholar]
  • 51.Erdogan S, Yilmaz FM, Yazici O, Yozgat A, Sezer S, Ozdemir N, Uysal S, Purnak T, Sendur MA, Ozaslan E. Inflammation and chemerin in colorectal cancer. Tumour Biol. 2016;37:6337–6342. doi: 10.1007/s13277-015-4483-y. [DOI] [PubMed] [Google Scholar]
  • 52.Brown RE, Buryanek J, Katz AM, Paz K, Wolff JE. Alveolar rhabdomyosarcoma: morphoproteomics and personalized tumor graft testing further define the biology of PAX3-FKHR(FOXO1) subtype and provide targeted therapeutic options. Oncotarget. 2016. [DOI] [PMC free article] [PubMed]
  • 53.Ji Y, Jiang C, Zhang X, Liu W, Gao M, Li Y, Wang J, Wang Q, Sun Z, Jiang X, Yao N, Wang X, Fang Z, Yin Z, Ni Y, Zhang J. Necrosis targeted combinational theragnostic approach using radioiodinated Sennidin A in rodent tumor models. Oncotarget. 2014;5:2934–2946. doi: 10.18632/oncotarget.1728. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kang CM, Koo HJ, An GI, Choe YS, Choi JY, Lee KH, Kim BT. Hybrid PET/optical imaging of integrin αVβ3 receptor expression using a (64)Cu-labeled streptavidin/biotin-based dimeric RGD peptide. EJNMMI Res. 2015. [DOI] [PMC free article] [PubMed]
  • 55.Sun T, Tang G, Tian H, Hu K, Yao S, Su Y, Wang C. Positron emission tomography imaging of cardiomyocyte apoptosis with a novel molecule probe [18F]FP-DPAZn2. Oncotarget. 2015;6:30579–30591. doi: 10.18632/oncotarget.5679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Blanco VM, Chu Z, LaSance K, Gray BD, Pak KY, Rider T, Greis KD, Qi X. Optical and nuclear imaging of glioblastoma with phosphatidylserine-targeted nanovesicles. Oncotarget. 2016;7:32866–32875. doi: 10.18632/oncotarget.8763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Tang C, Tang G, Gao S, Liu S, Wen F, Yao B, Nie D. Radiosynthesis and preliminary biological evaluation of N-(2-[18F]fluoropropionyl)-L-glutamine as a PET tracer for tumor imaging. Oncotarget. 2016;7:34100–34111. doi: 10.18632/oncotarget.9115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Cui Y, Liu H, Liang S, Zhang C, Cheng W, Hai W, Yin B, Wang D. The feasibility of 18F-AlF-NOTA-PRGD2 PET/CT for monitoring early response of Endostar antiangiogenic therapy in human nasopharyngeal carcinoma xenograft model compared with 18F-FDG. Oncotarget. 2016;7:27243–27254. doi: 10.18632/oncotarget.8402. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Oncotarget are provided here courtesy of Impact Journals, LLC

RESOURCES