Abstract
Indocyanine green (ICG) is a fluorescent dye with a strong emission in the near-infrared spectral range that allows deep signal penetration and minimal interference of tissue autofluorescence. It has been employed in clinics for different applications, among which the more interesting is certainly near-infrared fluorescence image-guided surgery. This technique has found wide application in surgical oncology for lymph node mapping or for laparoscopic surgery. Despite ICG being useful for tracking loco-regional lymph nodes, it does not provide any information about cancer involvement of such lymph nodes or lymphatic vessels, lacking any tumor-targeting specificity. However, the clinical need in surgical oncology is not only a specific tracking of metastatic nodes but also the intraoperative detection of micrometastatic deposits. Here, we have exploited a nanotechnological solution to improve ICG usefulness by its encapsulation in H-ferritin (HFn) nanocages. They are natural protein-based nanoparticles that exhibit some very interesting features as delivery systems in oncological applications because they display specific tumor homing. We show that HFn loaded with ICG exhibits specific uptake into different cancer cell lines and is able to deliver ICG to the tumor more efficiently than the free dye in an in vivo model of TNBC. Our results pave the way for the application of ICG-loaded HFn in fluorescence image-guided surgery of cancer.
Introduction
Indocyanine green (ICG) is an amphiphilic tricarbocyanine fluorescent dye with a strong fluorescence emission in the near-infrared (NIR) spectral range (700–900 nm). This allows deep penetration of the signal and minimizes interference of tissue autofluorescence.1 ICG has been used in clinics for more than 60 years, and it is approved for different applications, such as measuring cardiac output, ophthalmic angiography, and liver clearance evaluation.2−4 More recently, ICG has also been employed in NIR fluorescence image-guided surgery (FGS).5 FGS has found application mainly in surgical oncology, where endoscopic administration of ICG has allowed successful lymph node mapping (LNM) both for colo-rectal cancer undergoing laparoscopic surgery and for breast cancer.6−8 More than 150 clinical trials are now being conducted using ICG for FGS in several types of cancer, including breast, gastric, colon, prostate, skin, and lung cancers, and promising results have already been reported.9
Despite feasibility and accuracy of ICG being demonstrated for real-time LNM and tracking of loco-regional lymph nodes, ICG does not provide any information about cancer involvement of such lymph nodes or lymphatic vessels, lacking any specific targeting toward tumor cells.10 Furthermore, clinical applications of ICG currently rely on knowledge about primary tumor localization because a subdermal or submucosal injection is required for LNM.11 However, surgeons would need not only a specific tracking of metastatic nodes but also to detect intraoperatively micrometastatic deposits (i.e., tumor deposits not associated to lymph nodes in rectal cancer or microscopic peritoneal carcinomatosis in gastric or ovaric cancer).12
Therefore, in the attempt of developing an in vivo fluorescent tracer able to specifically label tumor tissue, the exploitation of a tumor-targeted ICG-based nano-delivery system could represent an interesting tool. Several nanotechnological approaches have been proposed for ICG delivery, mainly using micelles,13 polymeric nanoparticles,14−17 silica nanoparticles, and liposomes,18−20 but their tumor specific accumulation has been hardly demonstrated. Indeed, in these ICG-based nanoparticles, dye accumulation into the target site is mainly triggered by the enhanced permeation effect (EPR). Therefore, ICG accumulates also into tissues surrounding the tumor mass, thus preventing the correct discrimination between non-cancerous and cancerous tissues.21 Despite this, these strategies have allowed to improve ICG fluorescence stability and increasing circulation time, solving some issues that actually prevent free ICG intravenous administration, such as the quick loss of fluorescence in aqueous media and the strong quenching effect observed at higher dye concentrations.21 Here, we try to combine the advantages related to ICG nanoformulation with tumor target specificity thanks to the exploitation of H-ferritin (HFn) nanocages loaded with the dye for intraoperative detection of tumor.21−23
HFn is a protein nanocage that displays a cave sphere structure of 12 nm in diameter constituted by 24 self-assembling subunits.24,25 From the nanotechnological point of view, HFn exhibits some very interesting features combining a low toxicity because of its protein nature with a particularly high tumor homing ability.26,27 Indeed, HFn binding and internalization in cells is mediated by the transferrin receptor-1 (TfR1), which is highly overexpressed in cancers.28 Moreover, HFn is highly stable in biological fluids and extremely resistant to high temperatures (up to 80 °C) and to acidic conditions: at low pH, HFn subunits are disassembled, with the possibility of loading different cargoes inside the cavity, while they are naturally reassembled when pH is brought back to neutral.29 These characteristics make HFn a very promising nanocarrier in oncological applications. Several HFn-based nanodrugs have been developed for cancer treatment at a preclinical level with excellent results in terms of specific tumor recognition, improved drug penetration, optimized subcellular targeting, increased activity with lower side effects, and reduced onset of chemoresistance.30−33
In this work, we prepared ICG loaded HFn nanocages (HFn–ICG) and we assessed their uptake into different gastric, breast, and colo-rectal cancer cell (CC) lines. Moreover, we evaluated HFn–ICG biodistribution in a preclinical model of breast cancer demonstrating that ICG can be specifically internalized into tumor cells and delivered to the tumor mass thanks to the strong targeting affinity of HFn with TfR1. Our results prove the suitability of HFn–ICG as an in vivo nanotracer for FGS and intraoperative detection of tumors.
Results and Discussion
HFn Suitability as an ICG Delivery Vector
In the attempt of supporting surgeons in intraoperative tumor and metastasis localization, the exploitation of a nanoparticle-based ICG delivery system able to specifically label cancer tissues would have a relevant translational impact. Among the plethora of possibilities offered by nanotechnology, we have reasoned that HFn nanocages could represent the most valuable solution. Indeed, these nanoparticles displayed (1) a cave sphere structure loadable with dyes, (2) good biocompatibility and solubility profile due to its protein nature, and (3) a natural tumor homing.
In addition to this, we have also hypothesized that tumor-targeted ICG nanoparticles could be applied in FGS of certain kinds of tumors, such as breast, colo-rectal, and gastric cancers. Therefore, we have established a panel of human CC lines, selecting MCF-7, HCC1937, MDA-MB 231, and MDA-MB 468 among breast CC lines, while SNU-16, HT-29, and HCT116 as models of gastric and colo-rectal cancer, respectively. Because HFn interaction and internalization in CCs is mediated by its capability to specifically recognize the TfR1 overexpressed in a lot of cancers,28 we have first evaluated TfR1 expression in the surface of these cell lines by flow cytometry.
Surface expression of TfR1 reported in Figure 1a,b evidenced that CC lines included in our panel could be distinguished into two groups: one that displays high TfR1 expression and one characterized by a lower TfR1 expression: HT-29, HCT116, MCF-7, and SNU-16 exhibited 3–5 fold higher TfR1 expression than HCC1937, MDA-MB 231, and MDA-MB 468. To better define TfR1 overexpression in the CC lines used in the present study, we compared our results with data we previously published, in which the low TfR1 expressing CCs used here displayed a TfR1 expression higher than the one observed in a healthy control cell line, such as human umbilical vein endothelial cells, which among healthy cells is characterized by a relatively high TfR1 expression.31
Moreover, we evaluated TfR1 expression in another cell line of normal mammary tissue, (MCF-10A) where we obtained 0.2% of TfR1+ cells (data not shown). This is much lower than all other CCs tested here that were all between 12% (MDA-MB 231) and 98% (HCT116) (Figure 1b).
Then, we have evaluated the binding of fluorescently labeled HFn nanocages with our panel of CCs (Figure 1c). FITC was covalently conjugated to HFn (HFn–F) by amide-bond formation between Lys residues on HFn and the carboxyl group on FITC to avoid issues related to dye leakage during incubation with cells and to analyze only cells that were actually bound to HFn excluding those simply stained by the free dye. CCs were incubated for 2 h at 4 °C with two different amounts of HFn–F (20 and 100 μg/mL) and then analyzed by flow cytometry. Interestingly, we found that the panel of CCs could be easily divided into the same two groups observed when studying their TfR1 expression. CCs with high expression of TfR1 (HT-29, HCT116, MCF7, and SNU-16) displayed high percentages of binding already at the lowest HFn–F concentration (i.e., 20 μg/mL). Here, 80–90% of cells were positive to HFn–F staining at the low dose, while these percentages reached 100% at the higher dose of 100 μg/mL. On the contrary, HCC1937, MDA-MB 231, and MDA-MB 468, which exhibited lower TfR1 expression, showed much lower interaction with HFn–F. Once again, we could observe a dose-dependent recognition, as demonstrated by the increase in binding percentages when incubating cells with 100 μg/mL of HFn–F. Binding assay performed with a cell line of normal mammary tissues (i.e., MCF10A) reported in Figure S1 suggests the suitability of HFn as the tumor-targeted delivery system.
To further characterize HFn–F cell interaction and to verify if this is actually mediated by TfR1 expression, we ran a competition binding assay using HT-29 cell line. Keeping cells at 4 °C to avoid endocytosis, we first incubated cells with a 50 fold excess of unlabeled HFn [1 mg/mL in phosphate buffered solution (PBS)], as a competitor. Then, we added HFn–F at a concentration of 20 μg/mL and evaluated the binding efficiency. As it is shown in Figure 1d, we observed a strong competition with a 60% binding reduction, which confirms the specificity of the interaction between CC and HFn nanocages. One more time, the crucial role of TfR1 in mediating CCs–HFn interaction has been stated, demonstrating HFn suitability as an ICG delivery vector.
HFn Efficiently Encapsulates ICG and Stabilizes Its Fluorescence Properties
To perform HFn loading with ICG, we have followed the procedure illustrated in Figure 2a and widely used in literature to load drugs and other dyes into ferritin nanocages.34,35 Briefly, HFn was unfolded lowering the pH to 2.0, and then, the protein was refolded bringing back the pH to neutrality. ICG was added at the beginning of the HFn refolding process and incubated at room temperature (RT) for about 2 h. Non-encapsulated ICG has been removed by size exclusion chromatography, loading the formulation in Zeba spin desalting columns.
Encapsulation of ICG was confirmed by Raman spectroscopy. In Figure 2b, the spectra of ICG in solution after encapsulation in HFn nanocages are reported. As it can be seen in the figure, typical peaks of free ICG (lower panel) were also detected in the spectrum of HFn–ICG (higher panel), thus confirming the effective loading of the dye into HFn nanocages.
To verify the integrity of HFn after ICG loading, we have analyzed their structure by transmission electron microscopy (TEM) (Figure 2c). The images clearly evidenced both the inner cavity of the nanocages and the circular outer shape and confirmed HFn–ICG structural integrity, with the single subunits of the protein that can be observed in the zoomed images of the lower-left corner of the panel. We then analyzed the profile plot of the nanocages to confirm the final size of the structure (Figure 2d). As expected, we obtained nanocages with an inner size of 8 nm and an outer diameter of 12 nm, thus confirming the size of HFn reported in literature.36
A quantitative analysis of ICG loading efficiency was performed by spectrofluorimetry. First, we have measured the fluorescence of the nanocomposites and compared it with a standard curve of the dye. To obtain a reliable standard curve, we have evaluated ICG fluorescence in different media, as it is known that its emission properties radically change depending on the medium where the dye is dissolved.37 As it can be seen in Figure S2, the fluorescence yield in water and PBS is much lower than in media containing lipids and proteins, such as Dulbecco’s modified Eagle medium (DMEM), plasma, and milk. Moreover, a linear correlation between ICG fluorescence and dye concentration could be obtained only working in complex media (i.e., DMEM, plasma, and milk). Milk was particularly reliable in terms of measurement reproducibility and sensitivity, so we have decided to use it to perform the quantification of ICG encapsulation. We have prepared a standard curve by diluting different concentrations of ICG in milk (Figure S3, panel a), and we have observed a maximum value of fluorescence emission at around 10–20 μM ICG solution. Above this concentration, the peak shifted from 805–810 to 820 nm, and the fluorescence intensity started to decrease because of a strong quenching effect, as also reported in literature.23 To quantify the concentration of the dye inside the HFn–ICG preparation, we have extracted ICG from the nanocages with an acetonitrile–ddH2O solution (I), diluted in milk (II), and we have compared the fluorescence values with the standard curve (III). We have tested different dilutions to avoid quenching effect. The average concentration of loaded dye was 1.01 ± 0.07 mg/mL, corresponding to a loading efficiency of 40.4 ± 4.5% of the initial dye that was reacted with HFn. The effectiveness of ICG encapsulation is strongly supported also by some indirect data. As shown in Figure S3 (panel b), after acetonitrile extraction of the dye, the fluorescence intensity of ICG increased and the maximum peak shifted from 820 to 810 nm. This suggests that the dye was entrapped inside HFn and its fluorescence quenched. Moreover, the average size observed for HFn–ICG nanocages did not vary as compared to empty HFn, proving that the dye is encapsulated inside HFn cavity and not simply adsorbed on the protein shell. These data coupled with Raman spectra demonstrating the presence of ICG in the final product strongly prove that the dye has been efficiently encapsulated inside the nanocages.
After verifying that the dye had been encapsulated in the nanocages, we have tested whether the protein shell would stabilize its fluorescence properties. In fact, ICG low fluorescence stability is a big issue with the use of ICG in clinical practice.22 To verify this, we have measured the fluorescence decay of both HFn–ICG and ICG until we reached the limit of detectability for the free dye (about 800 min) (Figure 3, panel a). At this time point, the fluorescence of the encapsulated ICG was still 40% of the initial value with a much slower decay rate (−0.392 fluorescence units/minute for HFn–ICG as compared to −0.590 fluorescence units/minute for free ICG). The two curves are significantly different because the free ICG displayed a regular decay profile, while the nanoformulated one is more irregular, suggesting that only the fraction of dye released over time is degraded, while the dye that is still encapsulated inside the protein cavity is protected from degradation, thus improving ICG fluorescence lifetime. These data confirm the role of HFn encapsulation in stabilizing ICG fluorescence.
To further characterize HFn–ICG, we have analyzed the kinetics of ICG release from HFn nanocages by dialysis. As it can be seen in Figure 3b, the profile is very regular, with no evident burst effect during the first hours of incubation, and around 50% of the dye is released from HFn during the first 72 h, suggesting a good stability of the complex. After this time point, the release slows down, reaching a plateau after 1 week of incubation, when 66% of the dye has been released. We continued the analysis for one more week, but no further increase in fluorescence was recorded, meaning that no more ICG has been released in solution. Representative pictures of the samples collected throughout the dialysis are shown in Figure S4. Interestingly, HFn–ICG collected from inside the dialysis membrane (t14in) are still of a bright green, almost as intense as the one at the beginning of analysis (t0in), thus confirming the high stability of the complex.
Dose-Dependent HFn–ICG Binding with CCs
To further characterize the interaction of HFn–ICG with our panel of CCs, we performed a binding assay with increasing concentrations of loaded nanocages (Figures 4a–d and 5a–c). Similar experiments with free ICG have not been performed because ICG undergoes non-specific binding and internalization. We incubated cells with three different HFn–ICG concentrations (20, 50, and 100 μg/mL), and we studied by flow cytometry the fluorescence distribution associated with cell interactions. Results demonstrated that the binding with cells is dose-dependent in all cell lines, as the mean fluorescence intensity increases up to the concentration of 100 μg/mL. As expected, in CCs with high TfR1 expression, we reached 100% of stained cells already at the lowest concentration of ICG (i.e., HFn–ICG at 10 μg/mL) (Figure 4a–d), despite the mean fluorescence intensity still increasing in a dose-dependent manner, suggesting that the binding is not saturated yet. Even more interestingly, we observed a dose-dependent increase in binding, also in cells with low TfR1 expression (Figure 5a–c). This, together with the low but specific binding observed with HFn–F (Figure 1b) suggests that even a low TfR1 expression is enough to obtain a specific ICG label of CCs, evidencing the suitability of HFn as a nanodelivery system for ICG.
TfR1 is Involved in HFn–ICG Uptake in CCs
Involvement of TfR1 in mediating binding and uptake of HFn–ICG nanocages has been assessed by confocal microscopy. CCs were incubated with HFn–ICG for 2 h at 4 °C and stained with an anti-TfR1 antibody. Representative images of CCs with high levels of TfR1 are reported in Figure 4e–h, where the strong purple signal, observed in almost all analyzed cells, confirmed the high expression of the receptor. Here, the HFn–ICG signal (green) is mostly associated with cell membranes and partially diffused in peripheral areas of the cytoplasm. Moreover, the majority of the HFn–ICG signal seems to colocalize with TfR1 staining with a dotted-distribution that reminds association with TfR1 rich endosomes that are involved in iron metabolism.38 The colocalization around cell membranes was somehow expected. Even if incubation was performed at 4 °C, a portion of nanocages seem to be distributed intracellularly. This might be due to the strong interaction with TfR1 and the fast uptake kinetics that are characteristics of this receptor.39
In Figure 5d–f, HFn–ICG interaction with low TfR1 expressing CCs (HCC1937, MDA-MB 231, and MDA-MB 468) has been depicted. In these CCs, not all cells were TfR1+, confirming that the low expression obtained by flow cytometry (Figure 1b). Quite interestingly, HFn–ICG signal was almost exclusively found around TfR1+ cells, where strong accumulation on cell membranes and very rare colocalization spots were observed inside the cells. On the contrary, almost no HFn–ICG interaction was observed with TfR1– cells.
Further indirect confirmation of the TfR1 involvement in CCs uptake of HFn–ICG was obtained by studying the intracellular accumulation of ICG by IVIS Lumina II, for different time points (Figures 4i–l and 5g–i). To avoid fluorescence quenching problems normally observed at high ICG concentrations, we extracted the dye with a 1:1 solution of acetonitrile and water. This allowed us to release the dye from intracellular vesicles, where it could reach a relatively high local concentration into the acetonitrile-based solution and maximize its fluorescence emission. In all CCs, we obtained a time-dependent intracellular uptake of HFn–ICG, where the fluorescent signal was detectable already after 15 min of incubation. The signal slightly increased over time, with minimal differences up to 6 h, while it reached the highest intensity after 48 and 72 h of incubation. As expected, we have noticed that TfR1 high expression led to a 2–5 times higher particle uptake than in low TfR1 expressing cells. The maximum signal has been reported in HCT116 and HT-29, while the lowest fluorescence has been revealed in HCC1937 cells.
Nanoformulation Affects ICG Uptake and Accumulation
We further studied intracellular uptake of ICG by incubating MDA-MB 231 cells with both free and nanoformulated ICG and observing the distribution of the fluorescence signal over time by confocal microscopy. Among all the tested CCs, we selected MDA-MB 231 to prove that HFn encapsulation could significantly improve intracellular uptake of ICG even in cells, where TfR1 is not at its maximum expression. The fluorescence signal of HFn–ICG (green) gradually increased (Figure 6a): it remained very low within the first hour of incubation, while it started to be clearly visible after the third hour of incubation. The dotted distribution of intracellular HFn–ICG seems to confirm a vesicle-mediated uptake mechanism, with subsequent perinuclear accumulation, as expected for a transferrin mediated uptake, which is characterized by binding with TfR1 on the cell membrane, clathrin-mediated endocytosis, accumulation into late endosomes, and then recycling to the cell membranes.40 On the contrary, the uptake pattern observed for free ICG was completely different (Figure 6b). The signal was already visible inside the cells after 15 min of incubation and, opposite to HFn–ICG, it did not seem to increase over time. This might be due to the low uptake of the free dye in the cells and to a fast degradation of the molecule with consequent fluorescence loss. As expected, no perinuclear ICG accumulation and no co-localization with TfR1 were observed for ICG, suggesting that the dye does not follow the same pathway of HFn–ICG.
To corroborate these observations, we have decided to perform also a pilot experiment in vivo with the aim to demonstrate the improved uptake performances of nanoformulated ICG in comparison to ICG free. To reach this goal, we have used an in vivo ortotopic and syngeneic model of murine breast cancer, obtained by injection of 4T1 cells into the mammary fat pad of Balb/C female mice. This model has been selected because 4T1 cells display low TfR1 expression41 and low binding with HFn nanocages as previously demonstrated.30 Therefore, obtaining good targeting results with this model could reasonably allow us to hypotesize that better results could be obtained with tumors characterized by higher expression of TfR1 and better HFn recognition. Indeed, a different but non-significant trend in tumor accumulation of ICG has been detected after administration in mice treated with the free dye or with HFn–ICG, as reported in Figure 7 (p-value = 0.1112). By in vivo fluorescence imaging performed 6 h after administration, we observed a strong HFn–ICG signal localized in the tumor mass, while free ICG did not display specific intratumor accumulation. The free dye was only detected in the liver and the intestine tract. This was expected as it is widely known that free ICG is rapidly metabolized in the liver and released in the intestine together with bile salts to be excreted in the stool.42 The fluorescent signal observed in the lower abdominal area in HFn–ICG-treated mice is most likely due to both the non-tumor accumulated HFn nanocarrier that is being metabolized and to free dye that has been partially released from HFn in the meantime.
Twenty four hours after administration, no fluorescence was observed either in HFn–ICG- or free-ICG treated mice, with no undesirable accumulation of either the carrier and the dye (Figure S6).
Overall, the improved fluorescence properties, the high cellular uptake efficacy, and the ability of targeting the tumor mass in vivo suggest the great potential of HFn–ICG as an exploitable delivery agent for ICG in solid tumors.
Conclusions
ICG is routinely used in surgical oncology for LNM mapping and FGS with good results. However, ICG labels cancer in a not specific way, limiting the FGS application in tumor with well-known localization. Here, tumor specific delivery of ICG was successfully achieved in a wide panel of CC lines using HFn as the tumor targeted delivery system for ICG, allowing its use to detect, label, and potentially remove also unknown micrometastatic tumor deposits. Indeed, HFn is naturally internalized by CCs thanks to TfR1-mediated endocytosis and displays an inner cavity easily loadable with hydrophilic drugs or contrast agents. Therefore, ICG can be loaded into HFn with a loading efficiency of more than 40%, and it can be delivered into a wide panel of CCs depending on their TfR1 expression, allowing achievement of tumor targeting capability to ICG. Moreover, nanoformulation in HFn nanocages improves the fluorescence properties of ICG and avoids its quick degradation, increasing retention time in the body.
These promising results confirm the ability of HFn to deliver ICG specifically to the tumors and pave the way for the application of HFn–ICG in FGS of cancer.
Materials and Methods
Development of ICG-Loaded-HFn Nanoparticles
HFn was purchased from MoLiRom s.r.l. (Rome, Italy). For in vitro preliminary studies with the panel of CCs, HFn was labeled with fluorescein isothiocyanate Isomer I (Sigma-Aldrich S.r.l., CAS Number: 3326-32-7, Milan, Italy) according to the manufacturer’s protocol. ICG has been nanoformulated exploiting the ability of HFn to disassemble and reassemble its quaternary structure in response to changes in pH. First, a mixture of HFn (0.5 mg/mL) dissolved in 0.15 M NaCl was brought to pH 2.0 for 15 min at RT to disassemble the protein cage. Then, the pH was brought back to neutrality. In the meantime, ICG powder Verdye (25 mg; Diagnostic Green GmbH, Aschheim-Dornach, Germany) was solubilized in bidistilled deionized water (5 mL; 5 mg/mL) and immediately added to the HFn solution at a final dye concentration of 1 mg/mL. The mixture was incubated for 2 h at RT to allow complete refolding of the HFn quaternary structure. The resulting HFn–ICG nanoparticles were then concentrated by means of Amicon Ultra-4 centrifugal filter devices (Merck S.p.a., Milan, Italy, Catalog Number: UFC810024). Unloaded ICG has been removed by gel filtration using a Zeba Spin Desalting column (Thermo Fisher Scientific, Monza, Italy; Catalog Number: 89890).
Transmission Electron Microscopy
A drop of HFn suspension was dried on the Formvar net at RT, stained with uranil-acetate 1% for 30 s at RT and dried over night at RT. Samples were evaluated by TEM (Tecnai Spirit, FEI). Magnification 300,000× and 80,000×. High-magnifications images were further elaborated with the Profile Plot ImageJ software tool, to measure the size of HFn–ICG nanocages.
Raman Spectroscopy
Raman spectra were recorded using an inVia Raman microscope from Renishaw (UK) equipped with laser light sources operating at 785 nm. The Raman spectrometer was calibrated daily using the band of monocrystalline silicon at 520.7 cm–1. Raman spectra were acquired from 12 μL drops of water solution of free ICG and of HFn–ICG dried on top of a CaF2 slide (Crystran, UK) without any further preparation. Spectra were collected using a 785 nm laser line of 6.25 mW focused on the sample using a 100× objective for 10 s. Shown spectra are the averaging of six acquisitions after baseline subtraction and vector normalization.
Analysis of ICG Fluorescence Properties and Quantification of ICG Encapsulation Efficiency
The fluorescence properties of free and encapsulated ICG were studied in different media by fluorescence spectroscopy (FP8300 spectrofluorometer equipped with a FMP-825 multiwell reader; Jasco, Cremella, LC, Italy). Fluorescence yield and emission spectrum of the dye were studied in ddH2O, PBS, DMEM, human plasma, and milk. This analysis was mandatory to select a solvent suitable for further quantitative analysis of ICG encapsulation in HFN nanocages. We selected milk for its high fluorescence yield and data reproducibility.
A standard curve was obtained by fluorescence analysis of different concentrations of free ICG in milk at different concentrations (1.7, 10, 20, 40, 80, and 160 μM) and was used to quantify the amount of ICG loaded inside the HFn nanocages. To avoid issues due to differences in fluorescence properties between free and encapsulated ICG, the dye was first extracted from the nanocages and then quantified. To this aim, 80 μL of cold acetonitrile was added to 20 μL of the HFn–ICG sample. The mixture was vortexed and centrifuged at 14,000 rpm for 10 min in order to precipitate denatured HFn and release encapsulated ICG in solution. Then, different dilutions were prepared to avoid quenching effect, and fluorescence emission of the extract was measured with an excitation wavelength of 730 nm. Results were interpolated with the standard curve to calculate the amount of encapsulated ICG. Experiments were performed in triplicate.
Kinetics of Spontaneous ICG Release In Vitro
HFn–ICG was loaded in a dialysis device (Float-A-lyzer G2 Dialysis Device MWCO: 100 KD, Spectrum Labs, Compton, CA, USA) and kept in a water bath at 4 °C for 14 days. At predetermined time points (15 min, 1, 2, 3, 18, 24, 48, 72, 96 h, 6, 7, 8, and 14 days), 5 mL of buffer was collected, replaced with fresh buffer in order to maintain the sink condition, and the fluorescence of each collected sample was measured by spectrofluorimetry. Moreover, the decay in fluorescence of HFn–ICG was studied in parallel for the whole duration of the dialysis. To calculate the relative amount of released ICG at each time point, the fluorescence value was interpolated with the calibration curve, as already described, and normalized with the fluorescence decay measured throughout the dialysis period (data not shown). This allowed us to obtain 100% recovery of the initially loaded ICG. Fluorescence was measured (λexc: = 760 nm, λemis: = 780 nm). All studies were performed in triplicate.
Cell Culture
HT-29, HCT116, SNU-16, MCF7, MDA-MB 468, MDA-MB 231, HCC1937, and MCF-10A cell lines were purchased by ATCC-LGC Standards. HT-29, HCT116, SNU-16, and HCC1937 cells were cultured in RPMI 1640 Medium. MDA-MB 468 and MCF7 cells in high glucose DMEM. MDA-MB 231 cells were cultured in minimum essential medium. All media were supplemented with 10% heat inactivated fetal bovine serum (FBS), 2 mM l-glutamine, 100 U mL–1 penicillin, and 0.1 mg/mL streptomycin, except for HT-29 and HCT116 cells that were cultured in medium supplemented with 10% heat inactivated FBS, 1.5 mM l-glutamine, 100 U mL–1 penicillin, and 0.1 mg/mL streptomycin. MCF-10A was cultured in MEBM medium supplemented with MEGM kit from Lonza (CC-3150). All cell lines grew at 37 °C in a humidified atmosphere containing 5% CO2 and were subcultured prior to confluence using trypsin/EDTA. Cell culture medium and chemicals for cell culture were purchased from Euroclone.
TfR1 Expression
HT-29, HCT116, SNU-16, MCF7, MDA-MB 468, MDA-MB 231, and HCC1937 cells (5 × 105) were labeled with anti-TfR1 antibody diluted 1:100 [1 μg/tube; CD71 antibody (clone ICO-92), Thermo Fisher Scientific, Catalog Number #: MA1-7657] in blocking buffer (PBS, 2%) bovine serum albumin [BSA; Sigma-Aldrich S.r.l., Milan, Italy, and 2% goat serum (Euroclone S.p.A., Pero, Italy)] for 15 min at RT and cells were washed three times with PBS. Then, cells were labeled with Alexa Fluor 488 goat anti-mouse secondary antibody diluted 1:200 (1 μL/tube; Thermo Fisher Scientific, Monza, Italy; Catalog Number #: A-11001) in blocking buffer for 15 min at RT and were washed thrice with PBS before analysis using CytoFLEX flow cytometer (Beckman Coulter, Cassina De’ Pecchi, Italy), and 20,000 events were acquired, after gating on viable cells and on singlets. Cells immunodecorated only with the secondary antibody were used to set the region of positivity.
In Tube-Cell Binding Assay at 4 °C
Cells (5 × 105) were collected and incubated for 2 h at 4 °C in blocking buffer (PBS, 0.3% BSA) supplemented with 20, 50, and 100 μg/mL of FITC-labeled HFn. After incubation, cells were washed three times with PBS, suspended in 0.5 mL of PBS, and analyzed using a CytoFLEX flow cytometer (Beckman Coulter, Cassina De’ Pecchi, Italy). 20,000 events were acquired for each analysis, after gating on viable cells and on singlets. A sample of untreated cells was used to set the appropriate gates.
Competition Assay
HT-29 cells (5 × 105) were collected and preincubated for 2 h at 4 °C in 500 μL of 0.3% BSA–PBS with or without 1 mg/mL of free unlabeled HFn as competitor. Then, 20 μg/mL of FITC-labeled HFn was added for 1 h at 4 °C. Cells were washed three times with PBS and analyzed by CytoFLEX. After gating on viable and single cells, 20,000 events were acquired for each analysis. Untreated cells were used to set the positivity region.
Confocal Laser Scanning Microscopy
Cells (2 × 105) were cultured until subconfluence on cover glass slides precoated with collagen and incubated with HFn–ICG at a concentration of for 2 h at 4 °C. After incubation, cells were washed three times with PBS, fixed for 5 min with 4% paraformaldehyde (Sigma-Aldrich), and washed thrice with PBS. A blocking step was executed for 1 h at RT with a solution containing 2% BSA (Sigma-Aldrich) and 2% goat serum (Euroclone) in PBS. Membranes were labeled incubating coverslips with Alexa Fluor 488 wheat germ agglutinin (Life Technologies) diluted 1:200 in PBS for 10 min. TfR1 colocalization was revealed with the anti-TfR1 antibody (1:200; ab84036; Abcam) and recognized by Alexa Fluor 488-conjugated antibody against rabbit IgGs (Thermo Fischer Scientific) at a 1:300 dilution by incubating for 2 h at RT in PBS, 2% BSA, 2% goat serum, and 0.2 μg/mL DAPI (4′,6-diamino-2-phenylindole; Thermo Fischer Scientific). Coverslips were mounted in Prolong Gold antifade reagent (Thermo Fisher Scientific). Microscopy analysis was performed with the Leica SP8 system equipped with laser excitation lines at 405, 488, 552, and 633 nm, using a 63× magnification oil immersion lens.
To evaluate kinetics of internalization of HFn–ICG and free ICG, MDA-MB 231 cells were cultured until subconfluence on cover glass slides precoated with collagen and incubated for 15 min, 1, 3, 24, and 48 h at 37 °C in complete cell culture medium supplemented with HFn–ICG nanoparticles or ICG free (green; 50 μg/mL). After incubation at the indicated time points, cells were washed with PBS, fixed for 5 min with 4% paraformaldehyde (Sigma-Aldrich), and then treated for 5 min with 0.1% Triton X-100 (Sigma-Aldrich). Subsequently, a blocking step was performed for 1 h at RT with a solution containing 2% BSA (Sigma-Aldrich), 2% goat serum (Euroclone), and 0.2 μg/mL DAPI (Thermo Fischer Scientific) in PBS. TfR1 staining was performed with the anti-TfR1 antibody (1:200; ab84036; Abcam) recognized by Alexa Fluor 488-conjugated antibody against rabbit IgGs (Thermo Fischer Scientific) at a 1:300 dilution by incubating for 2 h at RT in PBS, 2% BSA, and 2% goat serum. Coverslips were mounted in Prolong Gold antifade reagent (Thermo Fisher Scientific), and images were acquired with a Leica SP8 microscope confocal system equipped with laser excitation lines 405, 488, 535, and 633 nm. Images were acquired with 63× magnification oil immersion lens.
Cellular Uptake
Cells (1 × 103) were seeded in a black 96-well plate in order to inhibit influence of background fluorescence during analysis. The day after seeding, cells were treated with 50 μg/mL of HFn–ICG for different time periods (15 min, 1, 2, 3, 4, 6, 24, 48, and 72 h) at 37 °C. After incubation, cells were washed five times with PBS and then 100 μL of cold acetonitrile were added to each well for 24 h at −20 °C in order to lyse cells and extract ICG. After cell lysis, a dilution 1:2 in milk of each well suspension was made. Plate fluorescence has been measured using the IVIS Lumina II imaging system (PerkinElmer, Waltham, MA, USA). The following acquisition parameters were used: excitation filter 745 nm, emission filter ICG, exposure time = 30 s, field of view = 12.5 × 12.5 cm, binning factor = 2, and f/stop = 2. Image processing and analysis were done using Living Image 4.3.1 software (PerkinElmer). The fluorescence specific signal was shown as the radiant efficiency (emission light [photons/sec/cm2/str]/excitation light [μW/cm2]). The fluorescence signal for each individual well was counted by selecting region of interest (ROI) and quantifying as the total radiant efficiency ([photons/sec]/[μW/cm2]).
In Vivo Labeling of Primary Tumor
Seven weeks old female BALB/c mice were injected into the mammary fat pad with 100,000 4T1-Luc cells (Bioware Ultra, PerkinElmer). After 10 days, mice were intravenously injected with ICG or HFn–ICG (3.8 mg/Kg). ICG distribution and tumor accumulation were monitored for 24 h using the in vivo imaging IVIS Lumina II (PerkinElmer) instrument and the KARL STORZ NIR/ICG endoscopic system (OPAL1 Technology, equipped with an high-end full HD camera IMAGE 1 SPIES and a xenon light source D-light P SCB; KARL STORZ GmbH & Co. KG, Tuttlingen, Germany). Reported images were acquired 6 and 24 h after injection, when differences between free and encapsulated ICG were most evident. Animals have been managed according to procedures approved by Italian Ministry of Health (aut. Number 611/2019-PR).
Acknowledgments
We acknowledge the Pediatric Clinical Research Center “Romeo and Enrica Invernizzi” at University of Milan for imaging facility and for SM position, and KARL STORZ GmbH & Co for NIR/ICG endoscopic system.
Glossary
Abbreviations
- ICG
indocyanine green
- NIR
near infrared
- FGS
image-guided surgery
- LNM
lymph node mapping
- EPR
enhanced permeation effect
- HFn
H-ferritin
- TfR1
transferrin receptor-1
- HFn–ICG
ICG loaded HFn nanocages
- CC
cancer cell
- BSA
bovine serum albumin
- HFn–F
FITC conjugated HFn nanocages
- RT
room temperature
- TEM
transmission electron microscopy
- DMEM
Dulbecco’s modified Eagle media
- ultrapure bidistilled-Milli-Q water
ddH2O
- PBS
phosphate buffered solution
- ROI
region of interest
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsomega.0c00244.
HFn-F binding in MCF-10A cells, fluorescence emission of ICG, standard fluorescence curve of free ICG, ICG release from HFn-ICG, colocalization of HFn-ICG and TfR1, and in vivo tumor targeting of HFn-ICG and ICG (PDF)
Author Contributions
S.M., D.F. and F.C. conceived, designed, and supervised the study. A.B. and M.S. developed HFn-ICG. M.S., A.B., and L.S. performed in vitro studies to evaluate interaction and uptake in CCs. R.A. performed transmission electron microscopy, while C.M. recorded Raman spectra. L.S. quantified encapsulated ICG. S.M. and L.S. analyzed the data. S.M., L.S., M.S., and F.C. wrote the manuscript. S.M., L.S., and F.C. revised the paper. Authorship must be limited to those who have contributed substantially to the work reported. All authors have given approval to the final version of the manuscript.
This work was supported by University of Milan, Department of Biomedical and Clinical Sciences “L. Sacco”, 14831—RV_PRO_RIC16DFOSC_M.
The authors declare no competing financial interest.
Supplementary Material
References
- Hill T. K.; Abdulahad A.; Kelkar S. S.; Marini F. C.; Long T. E.; Provenzale J. M.; Mohs A. M. Indocyanine Green-Loaded Nanoparticles for Image-Guided Tumor Surgery. Bioconjugate Chem. 2015, 26, 294–303. 10.1021/bc5005679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maarek J.-M. I.; Holschneider D. P.; Harimoto J.; Yang J.; Scremin O. U.; Rubinstein E. H. Measurement of Cardiac Output with Indocyanine Green Transcutaneous Fluorescence Dilution Technique. Anesthesiology 2004, 100, 1476–1483. 10.1097/00000542-200406000-00020. [DOI] [PubMed] [Google Scholar]
- Alander J. T.; Kaartinen I.; Laakso A.; Pätilä T.; Spillmann T.; Tuchin V. V.; Venermo M.; Välisuo P. A Review of Indocyanine Green Fluorescent Imaging in Surgery. Int. J. Biomed. Imaging 2012, 2012, 1–26. 10.1155/2012/940585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sakka S. G. Assessing Liver Function. Curr. Opin. Crit. Care 2007, 13, 207–214. 10.1097/MCC.0b013e328012b268. [DOI] [PubMed] [Google Scholar]
- Wang H.; Li X.; Tse B. W.-C.; Yang H.; Thorling C. A.; Liu Y.; Touraud M.; Chouane J. B.; Liu X.; Roberts M. S.; et al. Indocyanine Green-Incorporating Nanoparticles for Cancer Theranostics. Theranostics 2018, 8, 1227–1242. 10.7150/thno.22872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giuliano A. E.; Kirgan D. M.; Guenther J. M.; Morton D. L. Lymphatic Mapping and Sentinel Lymphadenectomy for Breast Cancer. Ann. Surg. 1994, 220, 391–401. 10.1097/00000658-199409000-00015. [DOI] [PMC free article] [PubMed] [Google Scholar]; ; discussion 398-401
- Verbeek F. P. R.; Troyan S. L.; Mieog J. S. D.; Liefers G.-J.; Moffitt L. A.; Rosenberg M.; Hirshfield-Bartek J.; Gioux S.; van de Velde C. J. H.; Vahrmeijer A. L.; et al. Near-Infrared Fluorescence Sentinel Lymph Node Mapping in Breast Cancer: A Multicenter Experience. Breast Cancer Res. Treat. 2014, 143, 333–342. 10.1007/s10549-013-2802-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Veronesi U.; Paganelli G.; Galimberti V.; Viale G.; Zurrida S.; Bedoni M.; Costa A.; de Cicco C.; Geraghty J. G.; Luini A.; et al. Sentinel-Node Biopsy to Avoid Axillary Dissection in Breast Cancer with Clinically Negative Lymph-Nodes. Lancet 1997, 349, 1864–1867. 10.1016/S0140-6736(97)01004-0. [DOI] [PubMed] [Google Scholar]
- Clinicaltrials.Gov. Indocyanine Green. https://clinicaltrials.gov/ct2/results?cond=Cancer&term=indocyanine+green+&type=&rslt=&age_v=&gndr=&intr=&titles=&outc=&spons=&lead=&id=&cntry=&state=&city=&dist=&locn=&rsub=&strd_s=&strd_e=&prcd_s=&prcd_e=&sfpd_s=&sfpd_e=&rfpd_s=&rfpd_e=&lupd_s=&lupd_e=&sort=.
- Mondal S. B.; Gao S.; Zhu N.; Liang R.; Gruev V.; Achilefu S.. Chapter Five - Real-Time Fluorescence Image-Guided Oncologic Surgery. In Advances in Cancer Research; Pomper M. G., Fisher P. B., Eds.; Emerging Applications of Molecular Imaging to Oncology; Academic Press, 2014; Vol. 124, pp 171–211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Veys I.; Pop F.-C.; Vankerckhove S.; Barbieux R.; Chintinne M.; Moreau M.; Nogaret J.-M.; Larsimont D.; Donckier V.; Bourgeois P.; et al. ICG-Fluorescence Imaging for Detection of Peritoneal Metastases and Residual Tumoral Scars in Locally Advanced Ovarian Cancer: A Pilot Study. J. Surg. Oncol. 2018, 117, 228–235. 10.1002/jso.24807. [DOI] [PubMed] [Google Scholar]
- Veys I.; Pop C.-F.; Barbieux R.; Moreau M.; Noterman D.; De Neubourg F.; Nogaret J.-M.; Liberale G.; Larsimont D.; Bourgeois P. ICG Fluorescence Imaging as a New Tool for Optimization of Pathological Evaluation in Breast Cancer Tumors after Neoadjuvant Chemotherapy. PLoS One 2018, 13, e0197857 10.1371/journal.pone.0197857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kirchherr A.-K.; Briel A.; Mäder K. Stabilization of Indocyanine Green by Encapsulation within Micellar Systems. Mol. Pharm. 2009, 6, 480–491. 10.1021/mp8001649. [DOI] [PubMed] [Google Scholar]
- Lee Y.-H.; Chang D.-S. Fabrication, Characterization, and Biological Evaluation of Anti-HER2 Indocyanine Green-Doxorubicin-Encapsulated PEG-b-PLGA Copolymeric Nanoparticles for Targeted Photochemotherapy of Breast Cancer Cells. Sci. Rep. 2017, 7, 46688. 10.1038/srep46688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu F.; Chen Y.; Li Y.; Guo Y.; Cao Y.; Li P.; Wang Z.; Gong Y.; Ran H. Folate-Receptor-Targeted Laser-Activable Poly(Lactide-Co-Glycolic Acid) Nanoparticles Loaded with Paclitaxel/Indocyanine Green for Photoacoustic/Ultrasound Imaging and Chemo/Photothermal Therapy. Int. J. Nanomed. 2018, 13, 5139–5158. 10.2147/IJN.S167043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen H.-H.; Lu I.-L.; Liu T.-I.; Tsai Y.-C.; Chiang W.-H.; Lin S.-C.; Chiu H.-C. Indocyanine Green/Doxorubicin-Encapsulated Functionalized Nanoparticles for Effective Combination Therapy against Human MDR Breast Cancer. Colloids Surf., B 2019, 177, 294–305. 10.1016/j.colsurfb.2019.02.001. [DOI] [PubMed] [Google Scholar]
- Zheng X.; Xing D.; Zhou F.; Wu B.; Chen W. R. Indocyanine Green-Containing Nanostructure as Near Infrared Dual-Functional Targeting Probes for Optical Imaging and Photothermal Therapy. Mol. Pharm. 2011, 8, 447–456. 10.1021/mp100301t. [DOI] [PubMed] [Google Scholar]
- Miranda D.; Wan C.; Kilian H. I.; Mabrouk M. T.; Zhou Y.; Jin H.; Lovell J. F. Indocyanine Green Binds to DOTAP Liposomes for Enhanced Optical Properties and Tumor Photoablation. Biomater. Sci. 2019, 7, 3158–3164. 10.1039/C9BM00551J. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ichihara H.; Okumura M.; Tsujimura K.; Matsumoto Y. Theranostics with Hybrid Liposomes in an Orthotopic Graft Model Mice of Breast Cancer. Anticancer Res. 2018, 38, 5645–5654. 10.21873/anticanres.12900. [DOI] [PubMed] [Google Scholar]
- Akhtar M. J.; Ahamed M.; Alhadlaq H. A.; Alrokayan S. A.; Kumar S. Targeted Anticancer Therapy: Overexpressed Receptors and Nanotechnology. Clin. Chim. Acta 2014, 436, 78–92. 10.1016/j.cca.2014.05.004. [DOI] [PubMed] [Google Scholar]
- Holt D.; Okusanya O.; Judy R.; Venegas O.; Jiang J.; DeJesus E.; Eruslanov E.; Quatromoni J.; Bhojnagarwala P.; Deshpande C.; et al. Intraoperative Near-Infrared Imaging Can Distinguish Cancer from Normal Tissue but Not Inflammation. PLoS One 2014, 9, e103342 10.1371/journal.pone.0103342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holzer W.; Mauerer M.; Penzkofer A.; Szeimies R.-M.; Abels C.; Landthaler M.; Bäumler W. Photostability and Thermal Stability of Indocyanine Green. J. Photochem. Photobiol., B 1998, 47, 155–164. 10.1016/S1011-1344(98)00216-4. [DOI] [PubMed] [Google Scholar]
- Mordon S.; Devoisselle J. M.; Soulie-Begu S.; Desmettre T. Indocyanine Green: Physicochemical Factors Affecting Its Fluorescencein vivo. Microvasc. Res. 1998, 55, 146–152. 10.1006/mvre.1998.2068. [DOI] [PubMed] [Google Scholar]
- Khoshnejad M.; Parhiz H.; Shuvaev V. V.; Dmochowski I. J.; Muzykantov V. R. Ferritin-Based Drug Delivery Systems: Hybrid Nanocarriers for Vascular Immunotargeting. J. Controlled Release 2018, 282, 13–24. 10.1016/j.jconrel.2018.02.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zang J.; Zheng B.; Zhang X.; Arosio P.; Zhao G. Design and Site-Directed Compartmentalization of Gold Nanoclusters within the Intrasubunit Interfaces of Ferritin Nanocage. J. Nanobiotechnol. 2019, 17, 79. 10.1186/s12951-019-0512-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Truffi M.; Fiandra L.; Sorrentino L.; Monieri M.; Corsi F.; Mazzucchelli S. Ferritin Nanocages: A Biological Platform for Drug Delivery, Imaging and Theranostics in Cancer. Pharmacol. Res. 2016, 107, 57–65. 10.1016/j.phrs.2016.03.002. [DOI] [PubMed] [Google Scholar]
- Zhen Z.; Tang W.; Guo C.; Chen H.; Lin X.; Liu G.; Fei B.; Chen X.; Xu B.; Xie J. Ferritin Nanocages To Encapsulate and Deliver Photosensitizers for Efficient Photodynamic Therapy against Cancer. ACS Nano 2013, 7, 6988–6996. 10.1021/nn402199g. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fan K.; Cao C.; Pan Y.; Lu D.; Yang D.; Feng J.; Song L.; Liang M.; Yan X. Magnetoferritin Nanoparticles for Targeting and Visualizing Tumour Tissues. Nat. Nanotechnol. 2012, 7, 459–464. 10.1038/nnano.2012.90. [DOI] [PubMed] [Google Scholar]
- Wang Z.; Gao H.; Zhang Y.; Liu G.; Niu G.; Chen X. Functional Ferritin Nanoparticles for Biomedical Applications. Front. Chem. Sci. Eng. 2017, 11, 633–646. 10.1007/s11705-017-1620-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mazzucchelli S.; Bellini M.; Fiandra L.; Truffi M.; Rizzuto M. A.; Sorrentino L.; Longhi E.; Nebuloni M.; Prosperi D.; Corsi F. Nanometronomic Treatment of 4T1 Breast Cancer with Nanocaged Doxorubicin Prevents Drug Resistance and Circumvents Cardiotoxicity. Oncotarget 2017, 8, 8383. 10.18632/oncotarget.14204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mazzucchelli S.; Truffi M.; Baccarini F.; Beretta M.; Sorrentino L.; Bellini M.; Rizzuto M. A.; Ottria R.; Ravelli A.; Ciuffreda P.; et al. H-Ferritin-Nanocaged Olaparib: A Promising Choice for Both BRCA-Mutated and Sporadic Triple Negative Breast Cancer. Sci. Rep. 2017, 7, 7505. 10.1038/s41598-017-07617-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bonizzi A.; Truffi M.; Sevieri M.; Allevi R.; Sitia L.; Ottria R.; Sorrentino L.; Sottani C.; Negri S.; Grignani E.; et al. Everolimus Nanoformulation in Biological Nanoparticles Increases Drug Responsiveness in Resistant and Low-Responsive Breast Cancer Cell Lines. Pharmaceutics 2019, 11, 384. 10.3390/pharmaceutics11080384. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pandolfi L.; Bellini M.; Vanna R.; Morasso C.; Zago A.; Carcano S.; Avvakumova S.; Bertolini J. A.; Rizzuto M. A.; Colombo M.; et al. H-Ferritin Enriches the Curcumin Uptake and Improves the Therapeutic Efficacy in Triple Negative Breast Cancer Cells. Biomacromolecules 2017, 18, 3318–3330. 10.1021/acs.biomac.7b00974. [DOI] [PubMed] [Google Scholar]
- Huang P.; Rong P.; Jin A.; Yan X.; Zhang M. G.; Lin J.; Hu H.; Wang Z.; Yue X.; Li W.; et al. Dye-Loaded Ferritin Nanocages for Multimodal Imaging and Photothermal Therapy. Adv. Mater. 2014, 26, 6401–6408. 10.1002/adma.201400914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bellini M.; Mazzucchelli S.; Galbiati E.; Sommaruga S.; Fiandra L.; Truffi M.; Rizzuto M. A.; Colombo M.; Tortora P.; Corsi F.; et al. Protein Nanocages for Self-Triggered Nuclear Delivery of DNA-Targeted Chemotherapeutics in Cancer Cells. J. Controlled Release 2014, 196, 184–196. 10.1016/j.jconrel.2014.10.002. [DOI] [PubMed] [Google Scholar]
- Corsi F.; Mazzucchelli S. The Potential of Protein-Based Nanocages for Imaging and Drug Delivery. Ther. Delivery 2016, 7, 149–151. 10.4155/tde.15.95. [DOI] [PubMed] [Google Scholar]
- Hollins B.; Noe B.; Henderson J. M. Fluorometric Determination of Indocyanine Green in Plasma. Clin. Chem. 1987, 33, 765–768. 10.1093/clinchem/33.6.765. [DOI] [PubMed] [Google Scholar]
- Li L.; Fang C. J.; Ryan J. C.; Niemi E. C.; Lebrón J. A.; Björkman P. J.; Arase H.; Torti F. M.; Torti S. V.; Nakamura M. C.; et al. Binding and Uptake of H-Ferritin Are Mediated by Human Transferrin Receptor-1. Proc. Natl. Acad. Sci. U.S.A. 2010, 107, 3505–3510. 10.1073/pnas.0913192107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watts C. Rapid Endocytosis of the Transferrin Receptor in the Absence of Bound Transferrin. J. Cell Biol. 1985, 100, 633–637. 10.1083/jcb.100.2.633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mayle K. M.; Le A. M.; Kamei D. T. The Intracellular Trafficking Pathway of Transferrin. Biochim. Biophys. Acta, Gen. Subj. 2012, 1820, 264–281. 10.1016/j.bbagen.2011.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tan T.; Wang H.; Cao H.; Zeng L.; Wang Y.; Wang Z.; Wang J.; Li J.; Wang S.; Zhang Z.; Li Y. Deep Tumor-Penetrated Nanocages Improve Accessibility to Cancer Stem Cells for Photothermal-Chemotherapy of Breast Cancer Metastasis. Adv. Sci. 2018, 5, 1801012. 10.1002/advs.201801012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alander J. T.; Kaartinen I.; Laakso A.; Pätilä T.; Spillmann T.; Tuchin V. V.; Venermo M.; Välisuo P. A review of indocyanine green fluorescent imaging in surgery. Int. J. Biomed. Imaging 2012, 2012, 940585. 10.1155/2012/940585. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.