Skip to main content
Download PDF

Extracellular vesicles-based pre-targeting strategy enables multi-modal imaging of orthotopic colon cancer and image-guided surgery

Journal of Nanobiotechnology volume 19, Article number: 151 (2021) Cite this article

Abstract

Backgroud

Colon cancer contributes to high mortality rates as the result of incomplete resection in tumor surgery. Multimodal imaging can provide preoperative evaluation and intraoperative image-guiding. As biocompatible nanocarriers, extracellular vesicles hold great promise for multimodal imaging. In this study, we aim to synthesized an extracellular vesicles-based nanoprobe to visualize colon cancer with positron-emission tomography/computed tomography (PET/CT) and near-infrared fluorescence (NIRF) imaging, and investigated its utility in image-guided surgery of colon cancer in animal models.

Results

Extracellular vesicles were successfully isolated from adipose-derived stem cells (ADSCs), and their membrane vesicles were observed under TEM. DLS detected that the hydrodynamic diameters of the extracellular vesicles were approximately 140 nm and the zeta potential was − 7.93 ± 0.24 mV. Confocal microscopy showed that extracellular vesicles had a strong binding ability to tumor cells. A click chemistry-based pre-targeting strategy was used to achieve PET imaging in vivo. PET images and the biodistribution results showed that the best pre-targeting time was 20 h, and the best imaging time was 2 h after the injection of 68 Ga-L-NETA-DBCO. The NIRF images showed that the tumor had clear images at all time points after administration of nanoparticles and the Tumor/Muscle ratio peaked at 20 h after injection. Our data also showed that both PET/CT and NIRF imaging clearly visualized the orthotopic colon cancer models, providing preoperative evaluation. Under real-time NIRF imaging, the tumor location and tumor boundary could be clearly observed.

Conclusions

In brief, this novel nanoprobe may be useful for multi-modal imaging of colon cancer and NIRF image-guided surgery. More importantly, this study provides a new possibility for clinical application of extracellular vesicles as nanocarriers.

Graphic Abstract

Introduction

At present, surgery still plays a crucial role in colon cancer treatment, with more than 50% of cancer patients undergoing surgery. Complete resection is a major challenge in tumor surgery [1]. In response, multi-modal imaging has been performed to visualize cancer before and during surgical procedures to provide pre- or intra-operative disease-specific images in real time [2]. Multi-modal imaging is a combination of two or more imaging modalities that offer biologically complementary information and may provide a better imaging solution than individual technologies [3]. Positron emission tomography/computed tomography (PET/CT) imaging can enable visualization of tumors and their regression or progression, offering high sensitivity, excellent penetration, and high spatial resolution [4]. Near-infrared fluorescence (NIRF, 650–1000 nm) imaging can provide anatomical information and real-time delineation of tumor because of the advantages of high temporal resolution, spatial resolution, super sensitivity and lower background [5,6,7]. Therefore, multi-modal PET/CT and NIRF imaging of colon cancer can be applied to obtain preoperative and intraoperative imaging of tumor.

Nanoparticle-based tracers have unique characteristics to serve as carriers for both radionuclide and NIRF dye labels during image-guided surgery. Recently, extracellular vesicles have attracted increasing attention, as they play important roles in physiology, pathology, and oncology. Extracellular vesicles are nanosized phospholipid bilayer vesicles secreted by various cells [8]. As biological nanoparticles, extracellular vesicles have been used to deliver drugs to specific cell types or tissues in vivo, especially tumor tissues [9,10,11]. For example, drugs like paclitaxel, imatinib, doxorubicin, curcumin, anthocyanidin, acridine orange, as well as nucleic acids, have been successfully loaded into extracellular vesicles and delivered to target cells [12]. Previous studies have confirmed that extracellular vesicles are ideal nanoparticles because of the following advantages: they are secreted by nearly all cell types and can be found in multiple types of extracellular fluids, such as the blood, urine, amniotic fluid, saliva, cerebrospinal fluid, and breast milk [13]. Second, the intrinsic small sizes of some extracellular vesicles facilitate their extravasation through tumor vessels and their subsequent diffusion into tumor tissues [14]. Third, the membrane structure of extracellular vesicles is similar to that of cells. They can be easily modified with functional groups and directly fuse with the membrane of target cells, thus improve the feasibility of modifying the target cell membrane [15]. Some human clinical trials performed using extracellular vesicles from dendritic cells for cancer therapy reported positive results regarding their feasibility and safety [16]. As reported, extracellular vesicles from various sources have different properties and can be applied to distinct functions [17]. Adipose-derived stem cells emerged as a stable source of extracellular vesicles due to the advantages of facile availability. Extracellular vesicles extracted from adipose-derived stem cells (ADSCs-EV) can be employed to engineer a multi-modal imaging probe because of their preferential tumor targeting ability [17].

To date, great efforts have been dedicated to investigating their applications as natural drug-delivery systems, but the tracing of extracellular vesicles has not been perfected, which stands to accelerate the clinical applications of extracellular vesicles-based drug delivery systems and the study of extracellular vesicles-based theranostic probes. Previous studies have traced extracellular vesicles-based drug delivery systems by optical imaging [18], but it was neither quantitative nor accurate because of the limited tissue penetration. Magnetic resonance (MR), PET, and single photon-emission computed tomography (SPECT) have been applied for tracking extracellular vesicles and analyzing their biodistribution [19,20,21,22]. Therefore, the possibility of extracellular vesicles used as nanocarriers for multi-modal imaging of colon cancer has been demonstrated in theory. However, most previous studies exhibited high tracer uptake in the liver, spleen, and kidneys, and low uptakes in tumor sites, making it difficult to compare the biodistribution of extracellular vesicles from different sources in vivo from images.

In this study, extracellular vesicles were isolated from ADSCs and modified with 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[azido(polyethyleneglycol)-2000] (DSPE-PEG2000-N3) and DSPE-PEG2000-Cy7, then the modified ADSCs-EV (N3-EV-Cy7) was obtained. A pre-targeting strategy are applied to label N3-EV-Cy7 for imaging with the goal of increasing the target/non-target ratio and improving the image quality. Additionally, the strategy can shorten imaging time and reduce potential radiation damage. Then, in vivo PET/CT and NIRF imaging of tumor-bearing nude mice was performed to verify the potential application of extracellular vesicles. Subsequently, tumor resections were performed to under real-time NIRF imaging (Scheme 1). We believe our results confirm the feasibility of extracellular vesicles-based nanoprobes for multimodality imaging and image-guided surgery of colon cancer in animal models.

Scheme 1
scheme 1

The schematics of multimodal PET and NIRF imaging and real-time NIRF intra-operation based on extracellular vesicles from ADSCs

Full size image

Results

Characteristics of ADSCs-EV

ADSCs-EV appeared membrane vesicles under TEM (Fig. 1a). Western blotting indicated that the ADSCs‐EV positively expressed surface markers such as CD9 and CD63. While non‐expression markers of ADSCs-EV, such as GM130 and β‐tubulin (Fig. 1b), were negatively expressed. The mean hydrodynamic diameters of ADSCs-EV and Cy7-EV-N3. were approximately 140 nm (Fig. 1c). The zeta potentials of the ADSCs-EV and Cy7-EV-N3 were − 7.93 ± 0.24 mV and − 9.68 ± 1.3 mV, respectively (Fig. 1d). There was no significant difference in hydrodynamic diameters and zeta potential between ADSCs-EV and Cy7-EV-N3. The stability of ADSCs-EV at 4 °C was great over 8 days (Fig. 1e, f). HCT116 cancer cells or adipose stem cell were co-incubated with ADSCs-EV at various concentrations (up to 100 μg/mL) and different time periods (up to 72 h). The results showed that the survival rate of cells in each group was greater than 90% (Additional file 2: Table S1-S2). ADSCs-EV had no obvious toxicity to HCT116 colon cancer cell and adipose stem cell.

Fig. 1
figure 1

The identification and characteristics of ADSCs-EV. a Membrane vesicles were observed under Transmission Electron Microscope (TEM). b Western blot confirmed the expression of ADSCs-EV markers (CD63, CD9). c The average hydrodynamic diameters of ADSCs-EV and Cy7-EV-N3. b The zeta potential of ADSCs-EV and Cy7-EV-N3. e The changes of hydrodynamic diameters of ADSCs-EV at 4℃ over 8 days. f The changes of zeta potential of ADSCs-EV at 4℃ over 8 days

Full size image

In vitro tumor cell binding

As exhibited in fluorescence images, the uptake of Cy5 and N3 labeled ADSCs-EV (Cy5-EV-N3) in HCT116 cell was increased over time (Fig. 2a). The quantification of the fluorescent intensity was consistent with images (Fig. 2b). Confocal microscopy of HCT116 cells incubated with Cy5-EV-N3 revealed strong fluorescence signals in the cell membrane and cytoplasm (Fig. 2c). L-NETA-DBCO was used as a bifunctional chelator in this study. The labeling procedure for 68 Ga-L-NETA-DBCO resulted in high radiochemical purities (> 95%; Additional file 2: Figure S1A). As shown in Additional file 2: Figure S1B, the proportion of intact tracer exceeded 90% after incubation in serum at 37 °C for 2 h, indicative of excellent serum stability of our tracer. HCT116 cancer cells or adipose stem cell were co-incubated with 68 Ga-L-NETA-DBCO (37KBq/well) at different time periods (up to 72 h). The results showed that the survival rate of cells in each group was greater than 90% (Additional file 2: Table S3). The cell uptakes were displayed in Fig. 2d. The uptake rate of 68 Ga-L-NETA-DBCO in HCT116 cells peaked at 2 h after Cy7-EV-N3 incubated with HCT116 cells for 20 h.

Fig. 2
figure 2

Tumor-binding ability of Cy5-EV-N3 and cell uptakes of Cy7-EV-N3 with different incubation time. a Fluorescence images of HCT116 cells after incubating with Cy5-EV-N3 for different time points (200 ×). b Corresponding quantification of the fluorescent intensity. c Tumor-binding ability was detected by confocal imaging (600 ×). d Uptakes of 68 Ga-L-NETA-DBCO in HCT116 tumor cells (incubated with Cy7-EV-N3 for different time periods) at the indicated time points. Bars represent means ± SD (n = 3). *P < 0.05; **P < 0.01; ***P < 0.001

Full size image

In vivo animal PET imaging

Having confirmed the labeling of 68 Ga-L-NETA-DBCO, we performed PET imaging based on different imaging time periods (1, 2, and 3 h) and different pre-targeting time periods (10, 20, 30 h). Comparing different imaging time points, maximum tumor uptake was obtained at 2 h after the injection of 68 Ga-L-NETA-DBCO (Fig. 3a). The T/M ratios displayed in Fig. 3b were consistent with the PET imaging. Then PET imaging with different pre-targeting time points (10, 20, 30 h) was performed at the best imaging time (2 h). Comparing different pre-targeting time points, PET imaging results indicated that maximum tumor uptake was displayed at 20 h after the injection of Cy7-EV-N3 (Fig. 3c). The tumor-to-muscle ratios (T/M ratios) were maximal at 20 h after the injection (11.41 ± 1.78; Fig. 2d). The chelator group (only injected with 68 Ga-L-NETA-DBCO) did not show any obvious signal at the tumor site (Additional file 2: Figure S2).

Fig. 3
figure 3

In vivo PET imaging of HCT116 tumor-bearing mice at different pre-targeting time points. a Representative static PET images after 1 h, 2 h and 3 h p.i. of 68 Ga-L-NETA-DBCO. b T/M ratios of different time (1 h, 2 h and 3 h after the injection of 68 Ga-L-NETA-DBCO). c Representative static PET images after 2 h p.i. of 68 Ga-L-NETA-DBCO with different pre-targeting time. d Tumor/muscle ratios of different pre-targeting time

Full size image

In vivo biodistribution

Biodistribution was conducted to further quantitative analysis of the distribution of this nanoprobe in vivo. The data (Table 1) was consistent with the imaging. Tissue uptakes at different pre-targeting time are shown in Fig. 4a. Tumor uptake (1.37 ± 0.05%ID/g; Fig. 4b) and T/M ratio (6.68 ± 0.68; Fig. 4c) peaked at 20 h after injection. Liver and spleen showed minimum tracer uptake with values lower than 1%ID/g at all time points. The tumor/liver ratio (1.329 ± 0.26; Fig. 4d) and tumor/spleen ratio (1.71 ± 0.16; Fig. 4e) were peaked at 20 h after injection.

Table 1 The biodistribution at different pre-targeting time points (10, 20 and 30 h). Data are expressed as mean ± standard deviation (%ID/g, n = 4)
Full size table
Fig. 4
figure 4

Biodistribution analysis at different pre-targeting time points (10 h, 20 h, and 30 h). a Tissues uptakes of HCT116 tumor-bearing mice at 2 h p.i. of 68 Ga-L-NETA-DBCO with different pretargeting time. b Tumor uptakes of different pretargeting time points. c–e Tumor/Muscle ratios, Tumor/Liver ratios and Tumor/Spleen ratios of different pretargeting time points. All bars represent as means ± SD (n = 4). *P < 0.05; **P < 0.01; ***P < 0.001

Full size image

In vivo NIRF imaging

In vivo and ex vivo NIRF images (Fig. 5a and c) indicated that high tumor uptakes were displayed at all time points. The T/M ratio peaked at 20 h after injection (4.63 ± 0.90; Fig. 5b).

Fig. 5
figure 5

NIRF imaging of HCT116 tumor-bearing nude mice and the tissues. a NIRF images of tumor-bearing mice at different time points (1, 5, 10, 20, 30 and 50 h) after the injection of Cy7-EV-N3. b T/M ratios at different time points after Cy7-EV-N3 injection (n = 3, **P < 0.01; ***P < 0.001). c NIRF images of ex vivo tissues at different time points after injection (10, 20 and 30 h). T Tumor, M Muscle, LI Large Intestinal, SI Small Intestinal, K Kidney, SP Spleen, L Liver, ST Stomach

Full size image

Multi-modal animal PET/CT and NIRF imaging of orthotopic colon cancer

For further studying the nanoprobe, orthotopic colon cancer was used as models for multi-modal imaging. Figure 6 shows that the tumor is clearly visible not only in the primary lesion (right abdomen, Fig. 6a, b), but also in a metastatic site (liver, Fig. 6c). Histology with HE staining confirmed the colon cancer and liver metastasis (Fig. 6d, e). Orthotopic colon cancer showed higher expression level of CD31, while subcutaneous colon tumor tissues showed lower expression of CD31 (Fig. 6f).

Fig. 6
figure 6

Multimodal PET/CT/NIRF images of orthotopic colon cancer and pre-, intra- and postoperative NIRF images. Multimodal PET/CT and NIRF images of the left (a) and right (b) orthotopic colon cancer model. The blue arrows denote colon tumors in situ. c Multimodal PET/CT and NIRF images of orthotopic colon cancer model (blue arrows) with liver metastasis (red arrows). d The visual observation of tumors and HE staining of pathological sections (scale bar: 50 μm). f Immunohistochemistry assay of CD31 in orthotopic and subcutaneous colon cancer. g Representative NIRF images of tumor-bearing mice pre-, intra-, and postoperatively. The red arrows point to the tumor

Full size image

Real-time NIRF imaging for intraoperative guidance

Having done Multi-modal animal PET/CT and NIRF imaging of orthotopic colon cancer, we further performed the tumor surgery under real-time NIRF imaging. Under the guidance of real-time NIRF imaging, the location of the tumor could be identified preoperatively, the boundary of the tumor can be confirmed intraoperatively, and the absence of residual tumor can be observed postoperatively (Fig. 6g). The image-guided video is shown in Additional file 1: Video S1.

In vivo toxicity studies

BALB/c mice (n = 5) received an i.v. injection of N3-EV-Cy7 + 68 Ga-L-NETA-DBCO or PBS to evaluate the in vivo potential toxicity. No significant hepatic or renal toxicity was observed from the indicating normal values of liver and kidney function markers, including ALT, AST, ALP, BUN and CRE (Fig. 7a–d). We did not observe significantly evidence of major organ damage from the H&E staining sections (Fig. 7e).

Fig. 7
figure 7

In vivo toxicity evaluation by blood test and histology analysis. a–d Liver function makers (ALT, AST and ALP) and kidney function markers (BUN and CRE) after i.v. injection with N3-EV-Cy7 + 68 Ga-L-NETA-DBCO over 1 d and 7 d. e Representative H&E staining images of major organs from the euthanized mice. Bar = 50 μm. All bars represent as means ± SD (n = 4)

Full size image

Discussion

In this study, we prepared a multi-modal nanoprobe with extracellular vesicles as the nanocarrier. This nanoprobe exhibited suitable size, good stability, and was non-cytotoxic and bound well to tumors. Multi-modal imaging with PET and NIRF were successfully achieved with this nanoprobe, and the surgery was conducted successfully under real-time NIRF imaging. To the best of our knowledge, pre-targeting strategy have not been applied for labeling extracellular vesicles-based nanoprobe. In other words, this is the first report of extracellular vesicles as the nanocarriers for multi-modal imaging and surgery of tumors with the application of pre-targeting strategy.

Multimodality imaging, a combination of two or more imaging modalities, can provide more complementary information for imaging than individual techniques. To date, many researchers have constructed multimodality nanoprobes with the application of synthetic nanoparticles, such as liposomes, metal nanoparticles, and magnetic nanoparticles, because of their advantages, such as large carrying capacity and facile surface modification [23, 24]. However, the widespread use of artificial drug carriers has been prevented by their potential toxicity, immunogenicity, and inability to penetrate and target specific organs. These disadvantages may be largely avoided when these drug carriers are in the form of biological structures.

The use of extracellular vesicles as nanocarriers has attracted wide attention because of their excellent biocompatibility [25]. Extracellular vesicles could facilitate their extravasation through tumor vessels and their subsequent diffusion into tumor tissues. They have the advantages of membrane-permeability, good stability in vivo, easy surface modification, and large loading capacity. Most importantly, unlike extracellular vesicles from cancer cells, normal cell-derived extracellular vesicles almost have no toxicity and are well tolerated by human [26]. Therefore, extracellular vesicles are favorable candidate nanocarriers. In this study, our data also confirmed the advantages of the extracellular vesicles-based nanoprobe. The extracellular vesicles-based nanoprobe was stable as revealed by its unchanged size and zeta potential over 8 d. The nanoprobe exhibited no obvious cytotoxicity, as shown by CCK8 assay and in vivo toxicity studies. Additionally, fluorescence imaging and confocal imaging showed that extracellular vesicles had great tumor cell binding ability and excellent cell internalization. Therefore, extracellular vesicles-based nanoprobes have great promise for multi-modal imaging.

As we all know, the half-life of 68 Ga is short (67.7 min), which does not match the ADSCs-EV with high molecular weight. According to the report [27], pre-targeting strategy can combine short half-life nuclide and long half-life molecular. Therefore, the pre-targeting strategy based on click reaction (N3-DBCO) was applied in this study [28]. The results showed a maximum tumor uptake when the pre-targeting time was 20 h and the imaging time was 2 h. Low uptakes in liver and spleen were displayed at all time points compared with the study by Shi et al. [22]. Although PET/CT imaging offered an abundance of information needed for diagnosis and preoperative planning, it cannot be applied for intraoperative detection of tumor tissues.

Optical image-guided surgery provides the accurate analysis of biological lesions through optical molecular probes, allowing more precise surgery. Compared with traditional optical imaging, NIRF imaging has been applied for intraoperative tumor resection studies because of some advantages, such as high temporal resolution, super sensitivity and lower tissue auto-fluorescence. After comparing the NIRF images acquired at different time periods, the appropriate imaging time for image-guided surgery has been suggested to be 10–30 h. Our surgery was performed under real-time NIRF imaging to further confirm the functions of this nanoprobe. During the operation, we could observe the tumor location, tumor boundaries, and residual after tumor resection clearly.

The orthotopic colon cancer model was designed to demonstrate the advantages of the multimodal nanoprobe further. The biological characteristics of orthotopic colon cancer are more similar to human tumors than subcutaneous colon cancer, such as the position, the morphology, the surrounding tissues, the blood supply, and the environment of colorectal tumors [29]. Excitingly, the orthotopic transplantation tumors showed higher tracer uptake than the subcutaneous tumors in our study according to the PET images. According to CD31 expression, the orthotopic tumor tissues exhibited higher density of blood vessels than subcutaneous tumor tissues.

Some issues remain to be addressed in this study. First, the production and isolation of extracellular vesicles remain challenging. For example, the differential centrifugation method we applied in this study has the advantages of high yield and low cost, but this method cannot be applied in the clinic because of the low purity and complex procedures. The extracellular vesicles from ADSCs are also limited by low yield and cannot be employed in clinical applications. Recently, some researchers tried to isolate extracellular vesicles from milk and fruits to increase the yield [30]. Second, the composition, function, specific targeting, and metabolism in vivo of extracellular vesicles have not yet been fully elucidated. Additionally, various DSPE-PEG2000 functionalized head-groups can be modified on extracellular vesicles to increase the tumor-targeting ability of the nanoprobe using hydrophobic interaction approach. Briefly, further in vitro and in vivo animal studies based on extracellular vesicles as a nanocarrier are required before clinical translation.

Conclusion

In this study, a novel extracellular vesicles-based nanoprobe was successfully engineered for multimodal PET/CT/NIRF imaging and image-guided surgery of colon cancer. This nanoprobe showed promise for preoperative evaluation and intraoperative surgical guidance. Our data verified that a pre-targeting strategy can be applied to gain high quality images. This research also proved that extracellular vesicles are also potential high-quality nanocarriers for multimodality imaging and have broad application prospects.

Materials and methods

Cell culture

This study was approved by the Ethics Committee at the Tongji Medical College of Huazhong University of Science and Technology (No. 2018-S288). ADSCs were isolated from the subcutaneous fat from patients without cancers. The adipose tissue was cut into small pieces and the connected fascial tissue was removed. Then the adipose tissue was digested for 1 h with 0.2% collagenase type I (Sigma, St Louis MO, USA) and centrifuged for 4 min at 1000 rpm. The cell pellets obtained were passed through a 70-μm filter (Corning, Rochester NY, USA), and then cultivated in Dulbecco’s modified Eagle’s medium (DMEM; Gibco, Gaithersburg MD, USA) with 10% fetal bovine serum (FBS, Serapro, Naila, Germany). The human colon cancer cell line HCT116 and mouse colon cancer CT26 were preserved in our laboratory (Hubei Province Key Laboratory of Molecular Imaging) and propagated in an RPMI-1640 medium (Gibco) supplemented with 10% FBS.

ADSCs-EV isolation

Extracellular vesicles from serum-free ADSCs culture supernatant were obtained by differential centrifugation. Dead cells and cell fragments were removed by centrifugation at 3000 g for 30 min. Then the supernatants were centrifuged at 13,000 g for 70 min. The supernatants were concentrated by an Amicon® Ultra-15 Centrifugal Filter Device (100 kDa molecular weight, Millipore, USA). Finally, the supernatants were centrifuged at 120,000 g for 70 min to obtain ADSCs-EV, which were subsequently suspended in PBS, passed through a 0.22 μm filter, and quantified by surface proteins with a BCA Protein Assay Kit (Beyotime, Shanghai, China) and stored at − 80 °C.

ADSCs-EV characterization

Extracellular vesicles were examined by transmission electron microscopy (TEM, Hitachi, Japan) and dynamic light scattering (DLS, Malvern Instruments Ltd., Worcestershire, UK). Then western blot was carried out to identify the ADSCs-EV by several surface markers. Briefly, equal amounts of total protein samples from ADSCs-EV (30 µg) were loaded in each well of SDS-PAGE gels. The gels were subsequently transferred onto PVDF membranes and incubated overnight at 4 °C with following primary antibodys: CD9 (Cat #A1703; ABclonal), GM130 (Cat #11308‐1‐AP; Proteintech), CD63 (Cat #ab134045; Abcam) and β‐tublin (Cat #10094‐1‐AP; Proteintech). On the following day, the membranes were incubated with HRP-conjugated antibody (Aspen, China) for 1 h. After incubation, the membranes were again washed 3 times with PBS and exposed to X-ray films using ECL detection reagents (#WP20005, Thermo Fisher). Changes in hydrodynamic diameters were monitored for 8 d by DLS to test the stability of the ADSCs-EV in vitro. A Cell Counting Kit-8 (CCK8) kit (SAB, College Park, MD, USA) was used to identify the cytotoxicity of different concentrations of ADSCs-EV and 68 Ga-L-NETA-DBCO in HCT116 human colon cancer cells.

In vitro cell binding

The modification of extracellular vesicles was adapted from a literature reported method [31]. Briefly, we introduced 1 mg DSPE-PEG per 1 mg extracellular vesicles. DSPE-PEG2000-Cy5, DSPE-PEG2000-N3 (Ruixi, Xi’an, China) and ADSCs-EV were incubated at room temperature for 30 min, and Cy5-EV-N3 were obtained. Cy5-EV-N3 (100 μg /mL) were added onto HCT116 cells grown in a confocal dish and incubated at 37℃ for different time periods (10, 20, and 30 h). The cell nuclei were counterstained with 4′,6-Diamidino-2-phenylindole (DAPI) (Boster, Wuhan, China). Cells were fixed with paraformaldehyde and observed under a Fluorescence microscope. Confocal microscopy was also used to observe the tumor-binding ability. Cy5-EV-N3 (100 μg/mL) were added into the HCT116 cells cultured in a confocal dish and incubated for 30 h. Additionally, the skeleton of tumor cells was stained with FITC-phalloidin, and nuclei were stained with 4′,6-Diamidino-2-phenylindole (DAPI; Boster, Wuhan, China). Finally, the confocal dish was fixed with paraformaldehyde and observed by confocal microscopy (LSM 880, ZEISS).

Tumor-bearing nude mouse models

The protocol of mouse experiments was reviewed and approved by the Animal Care Committee of Tongji Medical College, Huazhong University of Science and Technology. HCT116 cells (5 × 106) suspended in 100 μL PBS were subcutaneously injected into the right upper limb of BALB/C nude mice (male, 4 weeks old, Beijing HFK Bioscience co., Ltd, China). After the tumor size reached approximately 0.8 cm, the mice were prepared for study. Orthotopic colon cancer models were also prepared with the following protocol. The 5-week BALB/C nude mice were laparotomized to expose the cecum, then HCT116 cells (5 × 106) suspended in 50 μL PBS were injected into the serosal layer of the colon. Four weeks after cell injections, the mice were prepared for study.

The modification of ADSCs-EV

Using hydrophobic insertion approach [31], DSPE-PEG2000-Cy7 (Ruixi, Xi’an, China) and DSPE-PEG2000-N3 (Ruixi, Xi’an, China) were incubated with ADSCs-EV for 30 min at 37 °C to form N3(Cy7)-PEG2000-DSPE-ADSCs-EV (Cy7-EV-N3). The samples were passed through centrifugal filter devices (100 kDa molecular weight, Amicon®Ultra-15) before further use.

Synthesis and identification of 68 Ga-L-NETA-DBCO

68GaCl3 was obtained from the 68Ge/68 Ga generator with HCl (0.05 M) as eluent. Sodium acetate (1.25 M, pH = 8.6) was added to 500 μL of 68GaCl3 (187 MBq) to adjust the pH to 3.7. L-NETA-DBCO (5 nmol) was used to chelate the radionuclide 68 Ga, and the reaction was maintained 10 min at 100 °C. After the mixture was cooled, a C18 column was used to purify 68 Ga-L-NETA-DBCO. 68 Ga-L-NETA-DBCO was conjugated with N3-modifed ADSCs-EV by in vivo click reaction, which enables PET imaging. The radiochemical purity and in vitro stability of the probe (2 h in fetal bovine serum) were measured by high-performance liquid chromatography (HPLC).

Cellular uptake

To assess cell uptake, we incubated 1 × 106 of HCT116 cells with RPMI-1640 medium supplemented with 10% fetal bovine serum containing Cy7-EV-N3 (100 μg/mL) at 37 °C for 0, 10, 20, and 30 h. Then the supernatants were removed. 68 Ga-L-NETA-DBCO (37 kBq/well) were added to the HCT116 cells. After incubation for 1, 2, and 3 h, the supernatants were removed and washed with PBS. The remaining cells were lysed in NaOH. Cell lysates and supernatants were collected. Radioactivity was measured using a γ-counter (PerkinElmer, USA).

In vivo PET imaging

In order to identify the best time points, Cy7-EV-N3 (200 μg) was intravenously injected into the HCT116 tumor-bearing nude mice at different pre-targeting time points (10, 20, and 30 h). 68 Ga-L-NETA-DBCO (3.7 MBq) were injected into the mice (n = 3 per group) via the tail vein. Mice were anesthetized with 2% isoflurane, and micro-PET static imaging was performed at 1, 2 and 3 h after the injection of 68 Ga -L-NETA-DBCO. Static PET images were collected for 10 min using a small-animal PET scanner (TransPET BioCaliburn 700, Raycan Technology Co., Ltd, Suzhou, China). PET images were reconstructed with the ordered-subset expectation maximization three-dimensional/maximum a posteriori probability algorithm, and then image analysis was performed using Amide (http://amide.sourceforge.net) and Carimas 2.10 (Turku PET Centre, Finland) software.

NIRF imaging

Cy7-EV-N3 was injected into the mice bearing HCT116 tumor grafts (n = 3 per group) via the tail vein for NIRF imaging. Mice were anesthetized with 2% isoflurane, and NIRF imaging was performed at different times (1, 5, 10, 20, 30, and 50 h). The static NIRF images were acquired with 750-nm excitation and 790-nm emission filters using an IVIS spectrum imaging system (In-Vivo FX PRO, Bruker, Germany). NIRF images were analyzed by Bruker MI (Germany).

Multimodal PET/CT and NIRF imaging of orthotopic colon transplantation tumor

Twenty hours after Cy7-EV-N3 injection, 68 Ga-L-NETA-DBCO were injected into the orthotopic colon transplantation tumor model mice via the tail vein for click chemistry in vivo. 2 h after 68 Ga-L-NETA-DBCO injection, the mice’s bladders were emptied by compression and the mice were anesthetized using 2% isoflurane. Static PET/CT images were collected for 10 min using a small-animal PET scanner (TransPET Discoverist 180, Raycan Technology Co., Ltd, Suzhou, China). PET/CT images were reconstructed with the ordered-subset expectation maximization three-dimensional/maximum a posteriori probability algorithm, and then the analysis of images was done using Amide (http://amide.sourceforge.net) and Carimas 2.10 software. After PET/CT imaging was completed, NIRF imaging was subsequently performed and analyzed as described above. The mice were then sacrificed and the tumor tissue was collected for HE staining of pathological sections.

Immunohistochemistry analysis

The CD31 immunohistochemistry analysis was performed to evaluate the vascularization of the tumors. The HCT116 tumor tissues were collected, fixed in 4% paraformaldehyde and embedded in paraffin. The tumor Sects. (5 μm) were dewaxed, rinsed with EDTA buffer (pH 9.0), and blocked with 3% hydrogen peroxide. The tumor sections were incubated with anti-CD31 antibody (Abcam, Cambridge MA, USA) at 4 °C overnight. Then the tumor slices were incubated with secondary antibody (HRP-labeled goat anti-rabbit IgG, Abbkine, Redlands CA, USA) at room temperature for 30 min. The sections were stained with 3, 3’-diaminobenzidine (DAB, Beyotime, Hangzhou, China) for 8 min, subsequently by counterstaining with hematoxylin (Beyotime) for 2 min and were observed under microscopy.

Real-time NIRF imaging for intraoperative guidance

Twenty hours after the injection of Cy7-EV-N3, resection of the subcutaneous tumors in mice was performed using a real-time IVIS spectrum imaging system (Premium Imaging FB800, Premium imaging, California, USA).

In vivo toxicity studies

BALB/c mice (n = 4 per group) received an i.v. injection of N3-EV-Cy7 (200 μg) + 68 Ga-L-NETA-DBCO (7.4 MBq) or PBS. Mice were euthanized on 1st and 7th day after the injection. Their blood samples and major organs were collected. The function of liver and kidney, such as alanine amino transferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP), blood urea nitrogen (BUN), and creatinine (CRE) were measured by the blood biochemical autoanalyzer (Chemray 240, Rayto Life and Analytical Sciences Co., Ltd, China). Hematoxylin and eosin (H&E) of major organs (hearts, livers, spleens, lungs and kidneys) were examined using an optical microscope (IX73, Olympus, Japan).

Statistical analysis

Data are shown as the mean ± standard deviation (SD). Comparisons between groups were evaluated with the unpaired Student’s t-test. p < 0.05 was considered to be statistically significant. Statistical analysis was conducted using GraphPad Prism v8.0 software.

Availability of data and materials

Not applicable.

Abbreviations

EV:

Extracellular vesicles

ADSCs:

Adipose-derived stem cells

PET/CT:

Positron emission tomography/computed tomography

MR:

Magnetic resonance

NIRF:

Near-infrared fluorescence

ADSCs-EV:

Extracellular vesicles extracted from adipose-derived stem cells

Cy7:

Cyanine7

DSPE-PEG2000-Cy7:

Cy7-terminated 1,2-distearoyl-sn-glycero-3-phosphetha-mine-[(polyethyleneglycol)-2000]

TEM:

Transmission electron microscopy

DLS:

Dynamic light scattering

CCK8:

Counting Kit-8

Cy5:

Cyanine5

DSPE-PEG2000-Cy5:

Cy5 labeled DSPE-PEG2000

DSPE-PEG2000-N3 :

N3 labeled DSPE-PEG2000

EV-Cy5:

ADSCs-EV labeled with Cy5

DAPI:

4′,6-Diamidino-2-phenylindole

SPECT:

Single-photon emission computed tomography

FBS:

Fetal bovine serum

PBS:

Phosphate buffer saline

SD:

Mean ± standard deviation

T/M ratios:

Tumor-to-muscle ratios

T/L ratios:

Tumor-to-liver ratios

%ID/g:

Injected dose per gram

ALT:

Alanine amino transferase

AST:

Aspartate aminotransferase

ALP:

Alkaline phosphatase

BUN:

Blood urea nitrogen

CRE:

Creatinine

H&E:

Hematoxylin and eosin

References

  1. Aliperti LA, Predina JD, Vachani A, Singhal S. Local and systemic recurrence is the Achilles heel of cancer surgery. Ann Surg Oncol. 2011;18:603–7.

    Article  Google Scholar 

  2. Kim MH, Kim SG, Kim DW. A novel dual-modality imaging agent targeting folate receptor of tumor for molecular imaging and fluorescence-guided surgery. Ann Nucl Med. 2019;33:606–16.

    Article  CAS  Google Scholar 

  3. Teraphongphom N, Chhour P, Eisenbrey JR, Naha PC, Witschey WR, Opasanont B, Jablonowski L, Cormode DP, Wheatley MA. Nanoparticle loaded polymeric microbubbles as contrast agents for multimodal imaging. Langmuir. 2015;31:11858–67.

    Article  CAS  Google Scholar 

  4. Lee SY, Jeon SI, Jung S, Chung IJ, Ahn CH. Targeted multimodal imaging modalities. Adv Drug Deliv Rev. 2014;76:60–78.

    Article  CAS  Google Scholar 

  5. Li C, Zhang Y, Wang M, Zhang Y, Chen G, Li L, Wu D, Wang Q. In vivo real-time visualization of tissue blood flow and angiogenesis using Ag2S quantum dots in the NIR-II window. Biomaterials. 2014;35:393–400.

    Article  CAS  Google Scholar 

  6. Zhang X, Ding B, Qu C, Li H, Sun Y, Gai Y, Chen H, Fang H, Qian K, Zhang Y, et al. A thiopyrylium salt for PET/NIR-II tumor imaging and image-guided surgery. Mol Oncol. 2020;14:1089–100.

    Article  CAS  Google Scholar 

  7. Zhang X, He S, Ding B, Qu C, Zhang Q, Chen H, Sun Y, Fang H, Long Y, Zhang R, et al. Cancer cell membrane-coated rare earth doped nanoparticles for tumor surgery navigation in NIR-II imaging window. Chem Eng J. 2020;385:123959.

    Article  Google Scholar 

  8. Jiang X-C, Gao J-Q. Exosomes as novel bio-carriers for gene and drug delivery. Int J Pharm. 2017;521:167–75.

    Article  CAS  Google Scholar 

  9. Pascucci L, Cocce V, Bonomi A, Ami D, Ceccarelli P, Ciusani E, Vigano L, Locatelli A, Sisto F, Doglia SM, et al. Paclitaxel is incorporated by mesenchymal stromal cells and released in exosomes that inhibit in vitro tumor growth: a new approach for drug delivery. J Control Release. 2014;192:262–70.

    Article  CAS  Google Scholar 

  10. Zhang H, Wu J, Wu J, Fan Q, Zhou J, Wu J, Liu S, Zang J, Ye J, Xiao M, et al. Exosome-mediated targeted delivery of miR-210 for angiogenic therapy after cerebral ischemia in mice. J Nanobiotechnology. 2019;17:29.

    Article  Google Scholar 

  11. Chen F, Shi Y, Zhang J, Liu Q. Nanoparticle-based drug delivery systems for targeted epigenetics cancer therapy. Curr Drug Targets. 2020;21(11):1084–98.

    Article  CAS  Google Scholar 

  12. Faruqu FN, Wang JT, Xu L, McNickle L, Chong EM, Walters A, Gurney M, Clayton A, Smyth LA, Hider R, et al. Membrane radiolabelling of exosomes for comparative biodistribution analysis in immunocompetent and immunodeficient mice—a novel and universal approach. Theranostics. 2019;9:1666–82.

    Article  CAS  Google Scholar 

  13. Lasser C, Alikhani VS, Ekstrom K, Eldh M, Paredes PT, Bossios A, Sjostrand M, Gabrielsson S, Lotvall J, Valadi H. Human saliva, plasma and breast milk exosomes contain RNA: uptake by macrophages. J Transl Med. 2011;9:9.

    Article  Google Scholar 

  14. Mathivanan S, Ji H, Simpson RJ. Exosomes: extracellular organelles important in intercellular communication. J Proteomics. 2010;73:1907–20.

    Article  CAS  Google Scholar 

  15. Hood JL, Wickline SA. A systematic approach to exosome-based translational nanomedicine. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2012;4:458–67.

    Article  CAS  Google Scholar 

  16. Escudier B, Dorval T, Chaput N, Andre F, Caby MP, Novault S, Flament C, Leboulaire C, Borg C, Amigorena S, et al. Vaccination of metastatic melanoma patients with autologous dendritic cell (DC) derived-exosomes: results of thefirst phase I clinical trial. J Transl Med. 2005;3:10.

    Article  Google Scholar 

  17. Gentile P, Garcovich S. Concise review: adipose-derived stem cells (ASCs) and adipocyte-secreted exosomal microrna (A-SE-miR) modulate cancer growth and promote wound repair. J Clin Med. 2019;8(6):855.

    Article  CAS  Google Scholar 

  18. Gangadaran P, Li XJ, Lee HW, Oh JM, Kalimuthu S, Rajendran RL, Son SH, Baek SH, Singh TD, Zhu L, et al. A new bioluminescent reporter system to study the biodistribution of systematically injected tumor-derived bioluminescent extracellular vesicles in mice. Oncotarget. 2017;8:109894–914.

    Article  Google Scholar 

  19. Hwang DW, Choi H, Jang SC, Yoo MY, Park JY, Choi NE, Oh HJ, Ha S, Lee YS, Jeong JM, et al. Noninvasive imaging of radiolabeled exosome-mimetic nanovesicle using (99m)Tc-HMPAO. Sci Rep. 2015;5:15636.

    Article  CAS  Google Scholar 

  20. Busato A, Bonafede R, Bontempi P, Scambi I, Schiaffino L, Benati D, Malatesta M, Sbarbati A, Marzola P, Mariotti R. Magnetic resonance imaging of ultrasmall superparamagnetic iron oxide-labeled exosomes from stem cells: a new method to obtain labeled exosomes. Int J Nanomedicine. 2016;11:2481–90.

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Hu L, Wickline SA, Hood JL. Magnetic resonance imaging of melanoma exosomes in lymph nodes. Magn Reson Med. 2015;74:266–71.

    Article  CAS  Google Scholar 

  22. Shi S, Li T, Wen X, Wu SY, Xiong C, Zhao J, Lincha VR, Chow DS, Liu Y, Sood AK, Li C. Copper-64 labeled PEGylated exosomes for in vivo positron emission tomography and enhanced tumor retention. Bioconjug Chem. 2019;30:2675–83.

    Article  CAS  Google Scholar 

  23. Liu G, Ma J, Li Y, Li Q, Tan C, Song H, Cai S, Chen D, Hou Z, Chen Q, Zhu X. Core-interlayer-shell Fe3O4@mSiO2@lipid-PEG-methotrexate nanoparticle for multimodal imaging and multistage targeted chemo-photodynamic therapy. Int J Pharm. 2017;521:19–32.

    Article  CAS  Google Scholar 

  24. Mishra SK, Kannan S. A bimetallic silver-neodymium theranostic nanoparticle with multimodal NIR/MRI/CT imaging and combined chemo-photothermal therapy. Inorg Chem. 2017;56:12054–66.

    Article  CAS  Google Scholar 

  25. He C, Zheng S, Luo Y, Wang B. Exosome theranostics: biology and translational medicine. Theranostics. 2018;8:237–55.

    Article  CAS  Google Scholar 

  26. Zhao H, Yang L, Baddour J, Achreja A, Bernard V, Moss T, Marini JC, Tudawe T, Seviour EG, San Lucas FA, et al. Tumor microenvironment derived exosomes pleiotropically modulate cancer cell metabolism. Elife. 2016;5:e10250.

    Article  Google Scholar 

  27. Keinanen O, Makila EM, Lindgren R, Virtanen H, Liljenback H, Oikonen V, Sarparanta M, Molthoff C, Windhorst AD, Roivainen A, et al. Pretargeted PET imaging of trans-cyclooctene-modified porous silicon nanoparticles. ACS Omega. 2017;2:62–9.

    Article  CAS  Google Scholar 

  28. Chen K, Wang X, Lin WY, Shen CK, Yap LP, Hughes LD, Conti PS. Strain-Promoted Catalyst-Free Click Chemistry For Rapid Construction of (64)Cu-labeled PET imaging probes. ACS Med Chem Lett. 2012;3:1019–23.

    Article  CAS  Google Scholar 

  29. Chen HJ, Sun J, Huang Z, Hou H Jr, Arcilla M, Rakhilin N, Joe DJ, Choi J, Gadamsetty P, Milsom J, et al. Comprehensive models of human primary and metastatic colorectal tumors in immunodeficient and immunocompetent mice by chemokine targeting. Nat Biotechnol. 2015;33:656–60.

    Article  CAS  Google Scholar 

  30. Munagala R, Aqil F, Jeyabalan J, Gupta RC. Bovine milk-derived exosomes for drug delivery. Cancer Lett. 2016;371:48–61.

    Article  CAS  Google Scholar 

  31. Di H, Zeng E, Zhang P, Liu X, Zhang C, Yang J, Liu D. General approach to engineering extracellular vesicles for biomedical analysis. Anal Chem. 2019;91:12752–9.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by the National Natural Science Foundation of China (no. 81873904; no. 82071966).

Author information

Author notes

  1. Boping Jing and Ruijie Qian contributed equally to the manuscript

Authors and Affiliations

  1. Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, Hubei Province, China

    Boping Jing, Ruijie Qian, Dawei Jiang, Yongkang Gai, Zhen Liu, Yu Gao, Xiaoli Lan & Rui An

  2. Department of Pancreatic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China

    Feng Guo

  3. Department of Hand Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China

    Sen Ren

Authors
  1. Boping Jing
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ruijie Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dawei Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yongkang Gai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Feng Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Sen Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Yu Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Xiaoli Lan
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Rui An
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization, BJ and FG; methodology, BJ, SR, YG, and ZL; formal analysis, BJ and YG; investigation, BJ; resources, BJ and RQ; writing–original draft, BJ; writing–review & editing, DJ, RA, and XL; visualization, BJ; supervision, BJ; project administration, RA and XL; funding acquisition, XL, RA, BJ.

Corresponding authors

Correspondence to Xiaoli Lan or Rui An.

Ethics declarations

Ethics approval and consent to participate

All animal experiments were conformed to the guidelines and standards of the Experimental Animal Center of Tongji Medical College, Huazhong University of Science and Technology.

The use of human adipose tissue was approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology (No. 2018-S288).

Consent for publication

Not applicable.

Competing interests

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Video S1.

The real-time NIRF imaging guided tumor surgery.

Additional file 2

: Figure S1. Radiolabeling efficiency and stability. A The radiolabeling efficiencies of 68Ga-L-NETA-DBCO. B The stability of 68Ga-L-NETA-DBCO. Figure S2. PET imaging of the control group. A Representative static PET images at 1 h after the injection of 68Ga-L-NETA-DBCO. B Representative static PET images at 2 h after the injection of 68Ga-L-NETA-DBCO. White arrows point the tumor sites. Table S1 The HCT116 cell and ADSCs after 24 h incubation with ADSCs-EV at different concentrations (μg/mL). Bars represent means ± SD (n = 4). Table S2. The HCT116 cell and adipose stem cell viability after incubation with ADSCs-EV at different time points (h). Bars represent means ± SD (n = 4). Table S3. The HCT116 cell and adipose stem cell viability after incubation with 68Ga-L-NETA-DBCO at different time points (h). Bars represent means ± SD (n = 4).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jing, B., Qian, R., Jiang, D. et al. Extracellular vesicles-based pre-targeting strategy enables multi-modal imaging of orthotopic colon cancer and image-guided surgery. J Nanobiotechnol 19, 151 (2021). https://doi.org/10.1186/s12951-021-00888-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12951-021-00888-3

Keywords

Journal of Nanobiotechnology

ISSN: 1477-3155

Contact us