Highlights
Nanosized cytotoxic drug could combat against the autophagy induced by the drug.
The drug nanorods enabled efficient intracellular delivery of the nucleic acid and the resultant autophagy inhibition in vitro and in vivo, which in turn sensitized the cancer cells to the anti-tumor nanorods.
Electronic supplementary material
The online version of this article (10.1007/s40820-019-0310-0) contains supplementary material, which is available to authorized users.
Keywords: Nanocrystals, MicroRNA delivery, Autophagy inhibition, Cytotoxicity, Combinatorial therapy
Abstract
Autophagy is closely related to the drug resistance and metastasis in cancer therapy. Nanoparticle-mediated co-delivery of combinatorial therapy with small-molecular drugs and nucleic acids is promising to address drug resistance. Here, a drug-delivering-drug (DDD) platform consisting of anti-tumor-drug nanorods as a vehicle for cytosol delivery of nucleic acid (miR-101) with potent autophagic-inhibition activity is reported for combinatorial therapy. The developed 180-nm nanoplatform, with total drug loading of up to 66%, delivers miR-101 to cancer cells, with threefold increase in intracellular level compared to conventional gene carriers and inhibits the autophagy significantly, along with above twofold reduction in LC3II mRNA and approximately fivefold increase in p62 mRNA over the control demonstrated in the results in vivo. And in turn, the delivery of miR-101 potentiates the drug’s ability to kill cancer cells, with a threefold increase in apoptosis over that of chemotherapy alone. The anti-tumor study in vivo indicates the combined therapy that enables a reduction of 80% in tumor volume and > twofold increase in apoptosis than of the single-drug strategy. In summary, via the carrier-free strategy of DDD, this work provides a delivery platform that can be easily customized to overcome drug resistance and facilitates the delivery of combined therapy of small-molecular drugs and nucleic acids.
Electronic supplementary material
The online version of this article (10.1007/s40820-019-0310-0) contains supplementary material, which is available to authorized users.
Introduction
Despite the significant progress achieved in targeted therapies, the development of drug resistance has emerged as the next challenge for effective therapy in diverse diseases, such as tuberculosis, microbial infections and in particular cancer [1, 2]. For cancer chemotherapies, the major mechanisms of drug resistance include increased metabolic activation, elevated expression of the drug target, changed target or pathway to decrease sensitivity, reduced uptake by overexpressed efflux transporters, and altered drug detoxification [1, 3].
To address drug resistance, combinatorial therapy with two or more therapeutic agents has been considered as one of the most successful solutions in the clinic, owing to its advantages including synergistic effect, reduced side effects via lowering the administration dose for each drug, improved therapeutic selectivity, and increased patient compliance by decreasing the dosing duration and increasing the length between treatments [4–6].
Paclitaxel (PTX) is one of the most effective chemotherapeutic agents for treating diverse solid tumors, acting through suppressing microtubule disassembly, thereby preventing cell division [7]. However, the clinic use of PTX is markedly hampered by drug resistance mainly stemmed from decreased drug flow and increased drug efflux mediated by efflux pump [2]. The most commonly reported drug-resistant mechanism includes overexpressed efflux transporters, enhanced DNA repair, upregulation of stress-response proteins and inactivation of apoptosis pathway [2, 8, 9]. Besides, increasing evidence demonstrated that autophagy, the mechanism by which cellular material is delivered to the lysosomes for digestion through autophagosomes and consequently offering energy and macromolecular precursors for the cellular metabolism and cell proliferation [10], is closely related with the drug resistance and tumor metastasis as well [11]. In particular, autophagy is able to induce cancer cells’ resistance to the commonly used chemotherapeutic agent, PTX, in breast cancer [12]. Accordingly, autophagy is being considered as a critical factor in inducing PTX’s resistance in cancer therapy [11, 13]. Numerous small-molecular inhibitors of autophagy have been reported to assist the chemotherapeutic agent to kill the stress-tolerant cancer cells efficiently. However, the small-molecular inhibitors lack targeting ability with poor prediction in individual variation [14], and therefore, their high dose of administration is needed, leading to toxic concerns. In contrast, biological drugs, such as protein, peptide, enzyme and gene, are highly attractive in disease treatment, owing to their high potency and high selectivity of action, along with extremely low administration dose (< nM) [15]. Increasing evidence demonstrated that MicroRNAs (miRs), a class of short non-coding RNAs that post-transcriptionally regulate gene expression, are potent regulators of autophagy [16]. And in particular, miR regulators are able to target the autophagy pathway at several different stages with higher efficacy over the small-molecular inhibitors [16]. miR-101 can significantly suppress the autophagy induced by etoposide and rapamycin through knockdown of three genes, STMN1, RAB5A and ATG4D [17]. Moreover, via autophagy inhibition, miR-101 sensitized cancer cells to the chemotherapeutic drugs, 4-hydroxytamoxifen and cisplatin [17, 18]. Nevertheless, it is unknown whether the miR-101 could reverse the drug resistance of PTX via autophagy inhibition and, as a result, improve PTX’s anti-tumor efficacy.
In our previous reports, we established a drug-delivering-drug (DDD) platform based on drug nanocrystals [19–21]. Via bypassing the digestive endo-lysosomes, the DDD platform maximizes intracellular delivery of biopharmaceuticals and enables the delivery of additional drugs to the target site as well. Here, with the aim of overcoming drug resistance, we propose the co-delivery of the nucleic acid and PTX to cancer cells via a carrier-free strategy (DDD platform, as shown in Scheme 1). Rod-like nanocrystals of the chemotherapeutic agent (PTX), herein referred as PTX nanorods (PNs), are employed as a scaffold for efficient intracellular delivery of miR-101 via a non-lysosomal pathway; and in turn, the delivered miR-101 sensitizes the cancer cells to the cytotoxic PNs by inhibiting the autophagy, ultimately achieving synergistic treatment of cancer. The coating of HA was to shield the positive charge of PNplex and target the CD44 receptors expressed on cancer cells.
Experimental Section
Materials
Beta-lactoglobulin (β-LG, No. L3908, 90% purity), fluorescein isothiocyanate isomer I (FITC, 98% purity), rhodamine B isothiocyanate (RITC, 98% purity), IR783 (90% purity), 3-(4,5-dimethylthiazol-2yl)-2,5-diphenyltetrazoliumbromide (MTT, 98% purity) and polyethylenimine (PEI, 408727, 25 kDa) were purchased from Sigma-Aldrich Co., Ltd. (St. Louis, MO, USA). PTX (99% purity) was obtained from Yew Biotechnology Co., Ltd. (Jiangsu, China). The dye, P2 (λabs/λem = 708 nm/732 nm), was a gift from Prof. Wei Wu (School of Pharmacy Fudan University, Shanghai, China) [22, 23]. Taxol (marketed product of PTX) was from Bristol-Myers Squibb (China) Investment Co., Ltd. (Shanghai, China). Human microRNA-101 (miR-101) mimics and Cy5-miR-101 mimics were purchased from Genepharma Co., Ltd. (Shanghai, China). Hyaluronic acid (HA) was obtained from Shandong Furuida Pharmaceutical Co., Ltd. (6600 Da, Shandong, China). Nystatin and methyl-β-cyclodextrin (M-CD) were acquired from Aladdin Co., Ltd. (Shanghai, China). Caveolae Marker (Alexa Fluor® 488, ab185043), primary antibody for p62 (ab109012) and LC3 (ab48394), GADPH (ab37168) and HRP-conjugated secondary antibody (ab205718) were purchased from Abcam Trading Co., Ltd. (Shanghai, China). Alexa Fluor® 488-cholera toxin subunit B (CTB), Pierce™ BCA Protein Assay Kit, fetal bovine serum (FBS), RPMI-1640, Dulbecco’s Modified Eagle Medium (DMEM), lyso-tracker green or red, trypsin miScript II Reverse Transcription Kit and miScript SYBR Green PCR kit were from Thermo Fisher Scientific (Waltham, MA, USA). FITC phalloidine was from Shanghai Yeasen Biotechnology Co., Ltd. (Shanghai, China). Bafilomycin A1 (BFA) was purchased from Dalian Meilun Biotech Co., Ltd. (Dalian, China). The In Situ Cell Death Detection Kit was purchased from F. Hoffmann-La Roche Ltd. (Basel, Switzerland). Annexin V-FITC/PI, blocking buffer and Hematoxylin & Eosin Staining (H&E staining) kits were obtained from the Beyotime Institute of Biotechnology (Haimen, China). RNA isolation kit was purchased from QIAGEN (Hilden, Germany). SDS-PAGE gel and ECL Detection Kit were from Bio-Rad (Hercules, CA, USA).
Cell Cultures
The cell lines, MCF-7 (human breast adenocarcinoma), Caco-2 (human colon colorectal adenocarcinoma) and 4T1 (murine mammary carcinoma), were purchased from Nanjing KeyGEN Biotech Co., Ltd. (Nanjing, China). mRFP/EGFP-LC3-MCF-7 cell line was purchased from Shanghai Sciencelight Biology Science and Technology Co., Ltd. MCF-7 and mRFP/EGFP-LC3-MCF-7 cell lines were maintained in DMEM medium supplemented with 10% FBS and 1% penicillin/streptomycin at 37 °C, 5% CO2 and 100% humidity and were split when confluent. Caco-2 cells were cultured in the same conditions, except for being kept in 20% FBS. 4T1 cells were cultured in the same conditions, except for being kept in RPMI 1640 medium.
Preparation and Characterization of Nanoparticles
Cationic β-LG (CLG) was prepared as described in previous reports [19, 21]. PNs were prepared via an antisolvent precipitation. Briefly, 1 mL acetone with 20 mg of PTX (organic phase) was added to 10 mL of aqueous phase with stabilizer, CLG (10 mg), under vigorous stirring in an ice-water bath (4 °C), followed by ultrasonic treatment using an ultrasonic probe (20–25 kHz, Scientz Biotechnology Co., Ltd., Ningbo, China) at 400 W for 15 min and centrifugation at 10,000 g for 10 min. PNs/miR-101 complex (PNplex) was first prepared via mixing miR-101 with PNs at equal volume with gentle vortexing for 30 s and further incubation at room temperature (RT) for 30 min. After that, the PNplex was incubated with HA solution at concentrations of 0–2 µg mL−1 to form HA-coated PNplex (HA-PNplex).
The dye-labeled nanoparticles were prepared by a similar procedure. For FITC-, aza-BODIPY(P2)- or IR783-labeled nanoparticles, the dye and PTX were dissolved in the organic phase together prior the addition into the aqueous phase. For Cy5-labeled nanoparticles, Cy5-miR-101 rather than miR-101 was used to prepare the nanoparticles. Dual-labeled nanoparticles were prepared by condensing Cy5-miR-101 on FITC-PNs followed by the coating with HA.
The particle size and zeta potential of the nanoparticles were measured three times with a 90Plus Particle Size Analyzer (Brookhaven Instruments, Holtsville, NY) at 25 °C according to a dynamic light scattering (DLS) principle. The morphology of nanoparticles was examined using a JEM-1230 transmission electron microscope (TEM, Tokyo, Japan). The prepared nanoparticles with 200-fold dilution were placed on a copper mesh TEM grid for 10 min and then the excess of liquid removed with a filter paper followed by the addition of one drop of 2% (w/w) phosphotungstic acid for 1 min to stain the nanoparticles. Then, the copper mesh grid was dried at 25 °C for 15 min after the removal of the phosphotungstic acid excess.
The binding of miR-101 to the nanoparticles was determined by agarose gel electrophoresis. The gels were prepared with 0.8% agarose in Tris buffer containing ethylenediaminetetraacetic acid (EDTA) solution (pH 8.0). After mixing the prepared PNplex with GelRed (Generay Biotechnology, China) following the manufacturer’s protocol, the gel electrophoresis was conducted at 110 V for 30 min. The gel was then imaged using a Bio-Rad high-sensitivity chemiluminescence imaging system (Chemidoc XRS+, USA).
The stability of nanoparticles was evaluated by incubating them in culture medium with 10% of serum at 37 °C for 4 days and measuring their size by DSL as described above.
Flow Cytometry
To assess the endocytic mechanism, the cells cultured in 12-well plates at a density of 2 × 105 cells/well for 48 h were pretreated with uptake inhibitors, nystatin (10 mM) and M-CD (2.5 mM), for 30 min and then incubated with FITC or Cy5 labeled nanoparticles in serum-free media at 37 °C for 4 h, washed three times with PBS and detached by trypsinization and finally subjected to fluorescence determination by flow cytometry (BD FACSCalibur, USA).
To assess the autophagy flux, the mRFP and EGFP fluorescence were quantified. MCF-7 cells stably expressing mRFP/EGFP-LC3 were seeded on 12-well plates and incubated with different formulations for 6 h, followed by treatment with BFA (10 nM) for 30 min. Then, the cells were trypsinized to measure the fluorescence by flow cytometry.
For the intracellular fate study, MCF-7 cells (2 × 105 cells/well) were first incubated with aza-BODIPY-labeled HA-PNplex in serum-free media at 37 °C for 3 h and then rinsed with PBS and cultured in serum-free medium at 37 °C for additional 0, 1, 3 and 7 h. After that, cells were washed, trypsinized and analyzed by flow cytometry.
Confocal Microscopy Imaging
For assessing co-localization within intracellular compartments, Caco-2 cells were incubated with dye-labeled nanoparticles in DMEM for 4 h at 37 °C, followed by staining with caveolae makers, Alexa Fluor® 488-Cave-1/F-actin/CTB for 3 h, or lyso-tracker red or green for 1 h. Then, the cells were rinsed with PBS and observed under an LSM700 confocal laser scanning microscopy (CLSM, Carl Zeiss, Germany). The co-delivery of PNs and miR-101 to cells was studied by incubation of dual-labeled nanoparticles in Caco-2 cells at 37 °C for 3 h.
For the evaluation of autophagy fluxes, MCF-7 cells expressing mRFP/EGFP-LC3 were treated with different formulations for 6 h, washed with PBS three times, fixed in the 4% paraformaldehyde for 10 min and observed in the LSM700 CLSM. To investigate the intracellular fate, MCF-7 cells pre-incubated with aza-BODIPY labeled nanoparticles were fixed and observed under the LSM700 CLSM after stained with DAPI.
Polymerase Chain Reaction (PCR)
MCF-7 cells cultured in 6-well plates at a density of 2 × 105 cells/well for 48 h were transfected with different formulations for 24 h and subjected to extraction of total RNA using RNA isolation kit (Qiagen, Germany). Reverse transcription reaction of miRNA and mRNA to cDNA was performed using miScript II Reverse Transcription Kit (Qiagen, Germany) and Taqman® Reverse Transcription Reagents (Thermo Fisher, United States), respectively. MiR-101 and mRNA levels of LC3II and p62 were quantitatively assayed in a real-time PCR system (Eppendorf, Germany) using miScript SYBR Green PCR kit. miR-101 and mRNA were normalized to U6 snRNA and GADPH levels, respectively. Primers were designed as: miR-101: 5′-UACAGUACUGUGAUAACUGAA-3′, LC3II forward: 5′-ATGTTGGTTAGTGGCAGAAGAG-3′, LC3II reverse: 5′-ACAGGGTATCATTCACAAAGTC-3′, p62 forward: 5′-CACCTCCTCCACCACCTGTTCC-3′, p62 reverse 5′-GCCCGCTGTCCGTGCTCTTG-3′, GPADH forward: 5′-CATCAAGAAGGTGGTGAAGCAGG-3′, GPADH reverse: 5′-AAAGGTGGAGGAGTGGGTGTCG-3′.
Western Blot (WB)
MCF-7 cells in 6-well plates at a density of 2 × 105 cells/well were incubated with formulations for 24 h, followed by protein isolation with radioimmunoprecipitation assay buffer and determination with a BCA protein assay kit. After that, the cell lysates were mixed with loading buffer, boiled at 100 °C for 5 min, loaded on the wells of SDS-PAGE gel, transferred by electroporation to PVDF membrane, incubated with blocking buffer for 1 h at RT, incubated with anti-p62 and anti-LC3 II overnight at 4 °C and HRP-conjugated secondary antibody at RT for 1 h, and stained with an ECL chemiluminescence kit (KeyGEN Biotech., China), respectively. GADPH was used as the loading control. Bands were quantified by an ImageJ software (National Institutes of Health), and protein levels were normalized to GADPH.
Cell Migration Assay
Cell migration assay was performed using Transwell® chambers (Corning) in 4T1 and MCF-7 cell lines. A cell suspension (200 µL) at a density of 6 × 105 cells mL−1 was transferred into the upper chamber of the Transwell® and incubated for 24 h while 1 mL of RPMI 1640 or DMEM with 20% FBS was added to the lower Transwell® chamber to act as chemoattractants. Twenty-four hours later, the cells that did not migrate through the pores of the filter were carefully removed with a cotton-tipped swab. The filters were fixed in 4% paraformaldehyde, dried at RT and stained with crystal violet. They were then observed under a light microscope. The optical density (OD) was measured in a microplate reader at 570 nm after crystal violet was dissolved in 33% (w/v) acetic acid.
In Vitro Cytotoxicity
Cells seeded in 96-well plates at a density of 5 × 103 cells/well were first cultured for 48 h and then incubated with drug formulations for 24 h in MCF-7 cells and 4 h in Caco-2 cells. Cell viability was assessed by the standard MTT assay.
MCF-7 cells were cultured first in 12-well plates at a density of 5 × 103 cells/well for 48 h and subsequently incubated with drug formulations for 24 h, detached, washed with PBS three times, and stained with Annexin V-FITC/PI apoptosis kit according to the manufacturer’s protocol. The apoptosis rates were calculated using flow cytometry.
In Vivo Imaging and Biodistribution
The animals used in all experiments received care in compliance with the Principles of Laboratory Animal Care and the Guide for the Care and Use of Laboratory Animals. Animal experiments followed a protocol approved by the China Pharmaceutical University Institutional Animal Care and Use Committee. The female Balb/C nude mice (5-week old, 18–22 g) were purchased from the College of Veterinary Medicine Yangzhou University (License No: SCXK (Su) 2012-0004, Yangzhou, China).
The MCF-7 tumor-bearing Balb/C nude mice with a tumor volume of 500 mm3 were dosed with IR783-labeled nanoparticles via tail vein at a single IR783 dose of 2.5 mg kg−1, according to the animal’s weight. To localize the dye-labeled nanoparticles, the mice were observed in an imaging system (IVIS Spectrum, PerkinElmer, USA) at an excitation wavelength of 768 nm and an emission wavelength of 789 nm, at predetermined time points. After in vivo imaging, the euthanized mice were killed to collect the major organs for ex vivo imaging.
In Vivo Anti-Tumor Activity
The MCF-7 tumor-bearing Balb/C nude mice were divided into nine groups (n = 6). Formulations were administered via tail vein with PTX 10 mg kg−1 and miR-101 1 mg kg−1 every 3 days in a total of 6 injections, according to the animal’s weight. Tumor volumes were measured every time before injection. At the third day after the final administration, the animals were killed to collect the tumors for H&E staining, immunohistochemical and WB analysis.
Statistical Analysis
One-way analysis of variance was performed to assess the statistical significance of the differences between samples. The results are expressed as the mean ± standard deviation (SD). P < 0.05 indicated significant differences.
Results
Structure Characterization of Nanoparticles
The DDD platform for the co-delivery was prepared by a process that assembled miR-101 on 140-nm PNs (Fig. 1a) via electrostatic interaction between the negatively charged microRNA and positively charged PTX nanorods (PNs, ξ = 35.3 mV) followed by a coating of hyaluronic acid (HA) (see Scheme 1). The formulation of PNs/miR-101 complexes (PNplex) was first optimized by combining different mass ratios of stabilizer/miR-101. Gel electrophoresis assay displayed no bands when the mass ratio was ≥ 16 (Fig. 1b), indicating the gene was compressed well. The PNplex with the mass ratio of 16 showed a size of 167.7 nm and zeta potential of 30.3 mV (Fig. 1c). This PNplex formulation was then selected for HA coating to target the CD44 receptors expressed on cancer cells [24] and shield the positive charge. The HA coating increased the size of PNplex from 167.7 to 181.3 nm along with charge reduction from 30.3 to 20.8 mV with an increasing amount of HA in the coating (Fig. 1d). The HA-coated PNplex (HA-PNplex) with a size of 181.3 nm was chosen for subsequent studies considering their lowest surface charge among all formulations. Under TEM observation, the HA-PNplex exhibits a rod-like morphology with a size of 170–200 nm in length (Fig. 1f), being in line with the DLS results (Fig. 1e). The HA-PNplex possessed total drug loading up to 67.27% (drug mass compared to total weight of dried HA-PNplex), 66.24% for PTX and 1.03% for miR-101, exhibiting significant superiority over the conventional nanomedicine with drug loading of less than 10%. Furthermore, their size was not significantly altered after incubation in 10% serum at 37 °C for 4 days, indicating prolonged stability and superior resistance against serum-mediated aggregation and degradation (Fig. S1).
Cytosol Delivery, Intracellular Fate and Efficient Gene Delivery
The internalization pathway of the developed nanoparticles was investigated using two cell lines, MCF-7 and Caco-2 with high expression of CD44 receptors [25, 26]. The cellular uptake of dye-labeled nanoparticles was significantly suppressed by the inhibitors, nystatin and M-CD (Fig. S2a, b). These two inhibitors are known to block the cholesterol-dependent internalization pathway [27], being closely linked with the caveolar endocytosis that enables materials to enter the cells bypassing the digestive lysosomes [19, 28]. To confirm the caveolar internalization, the uptake was studied in Caco-2 cells whose surface area of 50% is occupied by caveolae [29]. Profound inhibition was observed (Fig. S2b), demonstrating the caveolae-dependent internalization. Observation with CLSM demonstrated that the Cy5-nanoparticles co-localized well with the Cave-1 and two caveolar transporters, cholera CTB and F-actin (Fig. S2c–e). The nanoparticles showed minor co-localization with the lysosomes after 3-h incubation (Fig. S3). Additionally, the caveolar endocytosis was time-dependent in a 4-h period (Fig. S4a, b). The dual-labeled nanoparticles demonstrated the signals of FITC-labeled PNs (FITC-PNs) and Cy5-miR-101 simultaneously by flow cytometry assay and showed yellow fluorescence in the confocal images (Fig. S4c, d), confirming the co-delivery of the two drugs.
Unlike other nanoparticles that would release their payloads rapidly after internalization due to digestion in the lysosomes, the drug nanorods have to take time to be dissolved for drug release. Accordingly, we explored the potential intracellular fate of HA-PNplex by incorporating an aza-BODIPY dye into the PNs. Aza-BODIPY was used as this dye can emit red fluorescence upon exposure and aggregation in a lipid environment [22]. Intracellular fate study showed that the internalized nanoparticles began to disintegrate 3 + 1 h, but was more evident at 3 + 3 h and in particular at 3 + 7 h (Fig. S5), an indicator that the nanoparticles released the two payloads significantly after entering into the cells. All together, these results suggest that the nanoparticles obtained cellular entry through a caveolae-mediated process without being captured by the lysosomes and taking approximately 7 h to release the two drugs.
Conventional nanoparticles for gene delivery would be trapped within the lysosomes post-internalization, resulting in less than 2% of gene drug escaping to the cytosol and significantly compromising the transfection efficacy [30, 31]. Consequently, the present nanoparticles had potential to improve the intracellular delivery of miR-101. As expected, PCR results revealed approximately a two- and threefold increase in miR-101 level in MCF-7 cells after 24-h incubation with PNplex and HA-PNplex (Fig. 2a), compared to the commonly used PEI carrier.
In Vitro Inhibition of Autophagic Flux
Regarding the autophagy, microtubule-associated protein 1A/1B-light chain 3 (LC3) is a robust marker of autophagosomes [32]. Here, we first utilized MCF-7 cells expressing mRFP/EGFP-LC3 reporters to assess the autophagy, in which autophagosomes have both mRFP and EGFP signals. However, the autolysosomes display mRFP signal only when the signal of EGFP is quenched in the acidic lysosomal environment [33, 34]. The PBS-treated cells emitted both signals of mRFP and EGFP and demonstrated the little fusion of autophago- and lysosomes (Figs. 2b and S6). In contrast, the treatment with PTX formulation, PNs, noticeably quenched the EGFP signal (Fig. 2b, c), indicating the fusion of autophago- and lysosomes and the resultant triggering of autophagy. Importantly, significant mRFP and EGFP signals were exhibited after treatment with the miRNA-101 formulations, PNplex and HA-PNplex, along with the lower mRFP/EGFP ratio compared to cells treated with PNs (Fig. 2c). Moreover, the ratio was not changed after additional treatment with BFA, a late phase autophagy inhibitor that prevents autophagosome–lysosome fusion and LC3II degradation, and therefore indicating the autophagy inhibition was caused by the suppression of autophagic flux (Fig. 2c). In addition, in the process of autophagy, a cytosolic form of LC3 (LC3I) is conjugated to phosphatidylethanolamine (PE), subsequently forming LC3-PE (LC3II) and recruited to autophagosomal membranes. Also, p62 is selectively degraded by autophagy and serves as a marker of autophagy induction [32, 35]. Therefore, we further confirmed the autophagy by assessing the levels of LC3 and p62. As depicted in Fig. 2d, e, PNplex and HA-PNplex enabled 40% and 50% reduction in LC3II mRNA and an increase in the mRNA expression of p62 by 25% and 30%, respectively. WB analysis confirmed these results at the protein level (Fig. 2f). Quantification of WB results revealed that the ratios of LC3II/I and p62 protein levels for these two nanoparticles were similar to that of the saline group (Fig. 2g, h). And again, additional treatment with BFA after administration of these two nanoparticles had little influence on the ratios and p62, implying the inhibition of autophagic flux. Taken together, the PNplex and HA-PNplex inhibited the autophagic flux markedly, whereas the administration of PTX formulations, Taxol and PNs induced autophagy.
Enhanced Cytotoxicity, Synergistic Effect and Anti-Metastasis
Autophagy is intimately related to the cytotoxicity, drug resistance and metastasis in chemotherapy [36]. Here, we first examined the cytotoxicity. Naked miR-101 showed little toxicity to the cancer cells at the studied concentrations (Fig. S7a, b). Compared with PNs, PNplex and HA-PNplex killed the cancer cells with higher efficiency at PTX concentrations of 1–100 µg mL−1 (Fig. S7c, d). Flow cytometry assay indicated the apoptosis induced by HA-PNplex and PNplex was roughly 77% and 67% (Figs. 3 and S7e), approximately 2- and 1.7-fold as much as that of PNs or 3.4- and 2.9-fold as great as that from Taxol (free PTX formulation). These results implied that formulating miR-101 into PNs was able to significantly promote the cytotoxicity of the chemotherapeutic agent to the cancer cells.
Then, the migration of 4T1 and MCF-7 cells was studied in a transwell chamber system (Fig. S8a). The HA-PNplex and PNplex blocked the cell migration significantly (Fig. S8b-e) and the HA-PNplex, in particular, reduced the migration by > two- and > threefold for 4T1 and MCF-7 cells, respectively, in contrast with PNs.
To study the potential synergistic effect between PTX and miR-10, we calculated the combination index (CI) based on the cytotoxicity induced by HA-PNplex with two ratios of PTX/miR-101 (16:1 and 32:1), which Cl > 1, C l = 1, and Cl < 1, represent synergism, additive effect and antagonism, respectively. As depicted in Fig. S9, at inhibition rate (Fa) of > 20%, the Cl values from the two ratios were less than 1 and, as a result, indicated the synergism between them.
Tumor Targeting, In Vivo Anti-Tumor Activity and Biocompatibility
Biodistribution and tumor targeting in vivo were first studied in MCF-7 tumor-bearing mice after the injection of free IR783 or IR783-labeled nanoparticles (Figs. S10 and S11). The IR783-nanoparticles accumulated in the tumor efficiently after 2-h or even 24-h administration compared to the free IR783 and the HA coating further promoted the accumulation due to specific binding to CD44 receptors on cancer cells [24]. These results demonstrated that the HA-PNplex and PNplex possessed significant tumor-targeting ability.
Second, the anti-tumor efficacy in MCF-7 tumor-bearing mice was investigated post-injection of different formulations (Fig. 4). In contrast with the formulation of PTX alone, the combinatorial formulation, HA-PNplex, inhibited the tumor growth markedly, displaying an almost zerofold increase in the tumor volume (Fig. 4a–c). The PNplex formulation also exhibited significantly improved suppression of tumor growth. Further Ki67 and Tunel examinations on the isolated tumor collected at the end of treatment indicated increased rates of anti-proliferation and apoptosis by HA-PNplex, approximately 100% and 50%, respectively, compared with PNs (Fig. S13). The induced apoptosis in the tumor by the combined formulation was confirmed by H&E staining (Fig. S13).
Additionally, safety examination on the major tissues sampled at the end of treatment revealed that HA-PNplex and PNplex did not cause toxicity to these tissues, whereas the classic gene carrier, PEI, its formulation PEIplex, and Taxol-induced liver toxicity (Fig. S14).
In Vivo Gene Delivery and Inhibition of Autophagy
First, we examined the miR-101 level in the tumor at the end of treatment by PCR assay. As depicted in Fig. 5a, HA-PNplex and PNplex had an approximately three- and twofold increase in the miR-101 level over the PEIplex formulation. These findings correlate well with the in vitro results (Fig. 2a) and indicate the potential of PNs for intracellular gene delivery. Next, we assayed the in vivo inhibition of autophagy in the tumor after treatment regarding the mRNA expression and protein levels of LC3, LC3II/I ratio and p62. HA-PNplex allowed for 2.3-fold reduction in LC3II mRNA and 4.8-fold increase in p62 mRNA over the saline control, while enabling approximately a 0.5-fold decrease in LC3II mRNA and twofold increase in p62 mRNA compared with PEIplex control (Fig. 5b, c). WB assay demonstrated that treatment with HA-PNplex reduced the LC3II/I ratio and p62 protein level significantly over the treatment with saline or PEIplex (Fig. 5d–f). Immunohistochemical analysis for the collected tumor tissues revealed marked positive staining for tumor treated with HA-PNplex (Fig. S15). This treatment promoted a decrease in the optical density of LC3II by > 10-fold and an increase for p62 by > twofold over the saline control (Fig. 5g, h). These results demonstrated that HA-PNplex noticeably inhibited the autophagic flux in vivo, consistent with the autophagy inhibition seen in vitro (Fig. 2).
Discussion
There are three approaches for combined treatments [4]: (1) co-dosing of conventional formulations, (2) co-dosing of two or more nanomedicines [37] and (3) co-delivering multiple drugs via loading them in a nanoparticle system [38]. Of these strategies, nanoparticle-mediated co-delivery has unique merits to overcome drug resistance by providing more precise control over the spatiotemporal release of each drug and the delivery of approximate drug ratio to the target site [39, 40]. Nonetheless, conventional nanoparticles have low drug-loading capacity (< 10%, w/w) thus limiting their use in long-term therapies [20, 41]. This low loading capacity becomes more limiting in co-delivery approaches, as multiple drugs need to be loaded. Furthermore, nanoparticles are typically arrested in the digestive lysosomes [30, 31], significantly hindering the drug release in the cytosol. This is particularly crucial when delivering nucleic acids that require reaching the cytosol in considerable amounts in order to exert its biological activity. In this study, by using the drug nanorods, rather than polymeric nanoparticles as vectors, the DDD platform, HA-PNplex, was prepared to co-deliver PTX and miR-101 via a simple mixing process and with a total drug loading up to 67.27%, sixfold greater than the conventional nanoparticle-based co-delivery systems with < 10% payload. We believe that, in drug-loading capacity, the developed nanoplatform has overwhelmed advantages than the reported nanoparticles. More importantly, the HA-PNplex specifically delivered miR-101 to cancer cells without being arrested within the lysosomes, offering significant merits over other nanoparticles with < 2% lysosomal escape of nucleic acid to the cytoplasma after internalization [30, 42, 43].
Combinatorial therapy based on nanoparticle-mediated co-delivery holds promise to tackle the problem of drug resistance and to improve the drug delivery. However, only few cases of clinical translation have been successful, despite numerous publications. Until now, only one nanoparticle-based product for combined therapy, VYXEOS (liposomal daunorubicin and cytarabine), has been approved. Undoubtedly, complicated preparation is a dominant obstacle for the translation. Here, the preparation of nanocrystal-based combinatorial therapy is extremely simple, just needing to mix the nucleic acid and the nanocrystals together. Furthermore, the developed DDD is universally adopted to overcome drug resistance and to achieve nanoparticle-mediated combinatorial therapy. We may utilize another type of drug nanocrystal as carriers to deliver second biologic macromolecules even if the intracellular-delivery efficacy is not as great as that of the present platform. Additionally, the platform can be modified easily with ligands for active targeting to further improve the drug delivery. In this study, the HA coating targeting CD44 receptors allowed for enhanced delivery, exhibiting as 1.3-fold increased uptake at 4 h after incubation (Fig. S4) and 1.6-fold increased accumulation in the tumor site at 2 h post-injection (Fig. S11) and, as a result, enabled improved cytotoxicity and anti-migration in vitro and in vivo. Besides, the ligand decoration reduced the positive charge of the DDD platform (Fig. 1d) and benefited the improvement of blood circulation and, subsequently, improved accumulation and penetration in tissues. As shown in Fig. S10c, d, the accumulation in the tumor, liver, lung and kidneys of HA-PNplex at 24 h post-injection was higher than that of PNplex. In particular, compared with PNplex, HA-PNplex had significantly higher lung accumulation. The increased accumulation might be related to the reduced positive potential from 30.3 to 20.8 mV due to the HA coating. Previous reports demonstrated that nanoparticles with high positive potential tended to associate with lung epithelial cells, and whereas, the charge-reduced nanoparticles would concentrate within interstitial spaces and then combat against the clearing by alveolar macrophages [44]. On the other hand, larger particles (1–3 µm) prefer to deposit in the lung [45, 46]. The reduced potential would potentially result in the aggregation of HA-PNplex in vivo and consequently increase the lung accumulation of the nanoparticles. Additional experiments are needed to explore the mechanism. Overall, the platform represents a robust strategy for combined treatment and its clinical translation is ongoing.
Via cytosol delivery of nucleic acid with autophagy activity using PTX nanorods, the PTX’s anti-tumor efficacy was enhanced greatly, along with two- to threefold increase in apoptosis in vitro and in vivo, fivefold reduction in the tumor volume as compared with PTX used alone. These results indicated that autophagy inhibition is efficient to combat against the drug resistance of PTX. The enhancement was ascribed to the effective gene transfection via a non-lysosomal internalization of the present platform and the potential synergy between the two drugs. It is well known that intracellular delivery of gene or protein drugs is challenging due to their rapid degradation in digestive endo-lysosomes [30, 42, 43], despite the diverse types of carriers used. Via bypassing the digestive endo-lysosomes, the developed platform maximized the intracellular delivery of miR-101. Additionally, the system allowed for rapid intracellular release of nucleic acid and sustained release of small-molecular drug over time. Our previous report indicated that the biological protein loaded in the DDD platform was released up to 80% at 2 h and while, the PTX was released in a sustained pattern, along with < 30% at 24 h, demonstrating their non-synchronized release [19]. Indeed, the study of intracellular fate of the DDD revealed delayed release of PTX (Fig. S5). In the combined therapy (nucleic acid and small-molecular drug), the two drugs are spatio-temporarily discrepant in the cytosolic target and the exertion of activity, and especially, > 24 h must be taken for the nucleic acid to exhibit its activity [47]. Therefore, the sequential release of the payloads from nanoparticles is necessary [48, 49]. Disappointingly, the reported co-delivery system tends to release the payloads simultaneously due to its decomposition under the lysosomal conditions, thus compromising the synergistic effect. By contrast, the system developed here could allow the synergistic effect between the two drugs to be maximized. Precise mechanism of the synergy regarding sequential release of the payloads from the DDD platform should be further investigated.
Nanosized cytotoxic drug efficiently discounted the autophagy induced by the drug. Numerous evidence demonstrated that the administration of a chemotherapeutic drug and the drug-loaded nanoparticles induced autophagy to a similar extent [50–52], therefore decreasing the sensitivity of cancer cells to chemotherapy. Moreover, the endocytosis of nanoparticles that causes lysosomal dysfunction and stress response would induce autophagy as well [53, 54], which most of nanoparticles obtain cellular entry through the lysosomal pathway. Conversely, in this study, the administration of PNs significantly suppressed autophagy in vitro and in vivo induced by free PTX (Figs. 2 and 5). Our previous reports indicated that the PNs entered cells via the non-lysosomal pathway [55, 56] and probably affected the fusion of lysosomes with autophagosomes. As a result, we speculate that the nanoparticles that could be uptaken via bypassing the lysosomes are able to resist the autophagy caused by the cytotoxic drug and, in turn, elevate the drug’s activities. The assumption was ascertained by the cytotoxicity examinations (Figs. 3, 4 and S7). This is a first report that the autophagy stemmed from nanoparticles could be reduced potently via non-lysosomal endocytosis. The work offers a unique strategy to combat against autophagy in chemotherapy using nanoparticle drug delivery system.
Autophagy pathway has been considered well to be involved in numerous human diseases from inflammatory disease to cancer, and accordingly, lots of autophagy regulators are developed [14, 57]. However, a question is raised that how to exert the effects of the regulators in disease treatment. Few reports are linked to this issue. Here, we found that by delivering a macromolecular autophagy inhibitor with drug nanorods could in turn elevate the activities of the nanorod themselves significantly. Besides, previous reports demonstrated that the developed DDD platform was able to deliver the second small molecules via formulating them into/on the drug nanorods to overcome the drug resistance [20, 58]. Therefore, the present study offers a promising platform to efficiently utilize autophagy modulators, despite the types of regulators and translate them into the clinic.
Conclusions
By employing drug nanorods with potent cytotoxicity as a vehicle for intracellular delivery of nucleic acid via a non-lysosomal pathway, a generalized approach for drug’s self-promotion and combinatorial therapy is demonstrated. The drug nanorods allowed for efficient intracellular delivery of the nucleic acid and the resultant autophagy inhibition in vitro and in vivo, which in turn sensitized the cancer cells to the anti-tumor nanorods. The developed carrier-free combinatorial therapy has overwhelmed benefits in the payload capacity and direct cytosol delivery of biological macromolecules. By using the approach, combining PTX with the autophagy inhibitor, miR-101, tumor growth can be suppressed with significantly higher efficiency than single-drug strategy. We believe the platform is generalized for combating against drug resistance and potently using the autophagy regulators in disease treatment.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
This study was supported by Grants from the National Natural Science Foundation of China (Nos. 81872823, 81871477), the Ministry of Science and Technology of China (2017ZX09101001-004), the Double First-Class (CPU2018PZQ13) of CPU, and the Key Members of the Outstanding Young Teacher of Jiangsu Qing Lan Project (2016). We thank Md Nurunnabi for his valuable suggestion.
Contributor Information
Wei He, Email: weihe@cpu.edu.cn.
Lifang Yin, Email: 1019940752@cpu.edu.cn.
References
- 1.Al-Lazikani B, Banerji U, Workman P. Combinatorial drug therapy for cancer in the post-genomic era. Nat. Biotechnol. 2012;30(7):679–692. doi: 10.1038/nbt.2284. [DOI] [PubMed] [Google Scholar]
- 2.Bar-Zeev M, Livney YD, Assaraf YG. Targeted nanomedicine for cancer therapeutics: towards precision medicine overcoming drug resistance. Drug Resist. Updates. 2017;31:15–30. doi: 10.1016/j.drup.2017.05.002. [DOI] [PubMed] [Google Scholar]
- 3.Lopez JS, Banerji U. Combine and conquer: challenges for targeted therapy combinations in early phase trials. Nat. Rev. Clin. Oncol. 2017;14(1):57–66. doi: 10.1038/nrclinonc.2016.96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dai W, Wang X, Song G, Liu T, He B, Zhang H, Wang X, Zhang Q. Combination antitumor therapy with targeted dual-nanomedicines. Adv. Drug Delivery Rev. 2017;115:23–45. doi: 10.1016/j.addr.2017.03.001. [DOI] [PubMed] [Google Scholar]
- 5.Han K, Jeng EE, Hess GT, Morgens DW, Li A, Bassik MC. Synergistic drug combinations for cancer identified in a crispr screen for pairwise genetic interactions. Nat. Biotechnol. 2017;35(5):463–474. doi: 10.1038/nbt.3834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lehàr J, Krueger AS, Avery W, Heilbut AM, Johansen LM, et al. Synergistic drug combinations improve therapeutic selectivity. Nat. Biotechnol. 2009;27(7):659–666. doi: 10.1038/nbt.1549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rowinsky EK, Onetto N, Canetta RM, Arbuck SG. Taxol: the first of the taxanes, an important new class of antitumor agents. Seminars Oncol. 1992;19(6):646–662. [PubMed] [Google Scholar]
- 8.Saw PE, Park J, Jon S, Farokhzad OC. A drug-delivery strategy for overcoming drug resistance in breast cancer through targeting of oncofetal fibronectin. Nanomed. NBM. 2017;13(2):713–722. doi: 10.1016/j.nano.2016.10.005. [DOI] [PubMed] [Google Scholar]
- 9.Xie X, Shao X, Ma W, Zhao D, Shi S, Li Q, Lin Y. Overcoming drug-resistant lung cancer by paclitaxel loaded tetrahedral DNA nanostructures. Nanoscale. 2018;10(12):5457–5465. doi: 10.1039/c7nr09692e. [DOI] [PubMed] [Google Scholar]
- 10.Levy JMM, Towers CG, Thorburn A. Targeting autophagy in cancer. Nat. Rev. Cancer. 2017;17(9):528–542. doi: 10.1038/nrc.2017.53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kimmelman AC, White E. Autophagy and tumor metabolism. Cell Metab. 2017;25(5):1037–1043. doi: 10.1016/j.cmet.2017.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wen J, Yeo S, Wang C, Chen S, Sun S, et al. Autophagy inhibition re-sensitizes pulse stimulation-selected paclitaxel-resistant triple negative breast cancer cells to chemotherapy-induced apoptosis. Breast Cancer Res. Treat. 2015;149(3):619–629. doi: 10.1007/s10549-015-3283-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fitzwalter BE, Towers CG, Sullivan KD, Andrysik Z, Hoh M, et al. Autophagy inhibition mediates apoptosis sensitization in cancer therapy by relieving FOXO3a turnover. Dev. Cell. 2018;44(5):555–565. doi: 10.1016/j.devcel.2018.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Vakifahmetoglu-Norberg H, Xia H, Yuan J. Pharmacologic agents targeting autophagy. J. Clin. Investig. 2015;125(1):5–13. doi: 10.1172/JCI73937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zelikin AN, Ehrhardt C, Healy AM. Materials and methods for delivery of biological drugs. Nat. Chem. 2016;8(11):997–1007. doi: 10.1038/nchem.2629. [DOI] [PubMed] [Google Scholar]
- 16.Frankel LB, Lund AH. Microrna regulation of autophagy. Carcinogenesis. 2012;33(11):2018–2025. doi: 10.1093/carcin/bgs266. [DOI] [PubMed] [Google Scholar]
- 17.Frankel LB, Wen J, Lees M, Høyer-Hansen M, Farkas T, Krogh A, Jäättelä M, Lund AH. MicroRNA-101 is a potent inhibitor of autophagy. EMBO J. 2011;30(22):4628–4641. doi: 10.1038/emboj.2011.331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Xu Y, An Y, Wang Y, Zhang C, Zhang H, et al. MiR-101 inhibits autophagy and enhances cisplatin-induced apoptosis in hepatocellular carcinoma cells. Oncol. Rep. 2013;29(5):2019–2024. doi: 10.3892/or.2013.2338. [DOI] [PubMed] [Google Scholar]
- 19.Xin X, Teng C, Du X, Lv Y, Xiao Q, et al. Drug-delivering-drug platform-mediated potent protein therapeutics via a non-endo-lysosomal route. Theranostics. 2018;8(13):3474–3489. doi: 10.7150/thno.23804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Xiao Q, Zhu X, Yuan Y, Yin L, He W. A drug-delivering-drug strategy for combined treatment of metastatic breast cancer. Nanomed. NBM. 2018;14(8):2678–2688. doi: 10.1016/j.nano.2018.06.012. [DOI] [PubMed] [Google Scholar]
- 21.Xin X, Pei X, Yang X, Lv Y, Zhang L, He W, Yin L. Rod-shaped active drug particles enable efficient and safe gene delivery. Adv. Sci. 2017;4(11):1700324. doi: 10.1002/advs.201700324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Hu X, Zhang J, Yu Z, Xie Y, He H, et al. Environment-responsive aza-BODIPY dyes quenching in water as potential probes to visualize the in vivo fate of lipid-based nanocarriers. Nanomed. NBM. 2015;11(8):1939–1948. doi: 10.1016/j.nano.2015.06.013. [DOI] [PubMed] [Google Scholar]
- 23.He H, Jiang S, Xie Y, Lu Y, Qi J, et al. Reassessment of long circulation via monitoring of integral polymeric nanoparticles justifies a more accurate understanding. Nanoscale Horiz. 2018;3(4):397–407. doi: 10.1039/C8NH00010G. [DOI] [PubMed] [Google Scholar]
- 24.Lv Y, Xu C, Zhao X, Lin C, Yang X, et al. Nanoplatform assembled from a CD44-targeted prodrug and smart liposomes for dual targeting of tumor microenvironment and cancer cells. ACS Nano. 2018;12(2):1519–1536. doi: 10.1021/acsnano.7b08051. [DOI] [PubMed] [Google Scholar]
- 25.Cho Y, Lee HW, Kang HG, Kim HY, Kim SJ, Chun KH. Cleaved CD44 intracellular domain supports activation of stemness factors and promotes tumorigenesis of breast cancer. Oncotarget. 2015;6(11):8709–8721. doi: 10.18632/oncotarget.3325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Maaser K, Borlak J. A genome-wide expression analysis identifies a network of EpCAM-induced cell cycle regulators. Br J Cancer. 2008;99(10):1635–1643. doi: 10.1038/sj.bjc.6604725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Mout R, Ray M, Yesilbag Tonga G, Lee YW, Tay T, Sasaki K, Rotello VM. Direct cytosolic delivery of CRISPR/Cas9-ribonucleoprotein for efficient gene editing. ACS Nano. 2017;11(3):2452–2458. doi: 10.1021/acsnano.6b07600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Scaletti F, Hardie J, Lee YW, Luther DC, Ray M, Rotello VM. Protein delivery into cells using inorganic nanoparticle–protein supramolecular assemblies. Chem. Soc. Rev. 2018;47(10):3421–3432. doi: 10.1039/c8cs00008e. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Parton RG, Richards AA. Lipid rafts and caveolae as portals for endocytosis: new insights and common mechanisms. Traffic. 2003;4(11):724–738. doi: 10.1034/j.1600-0854.2003.00128.x. [DOI] [PubMed] [Google Scholar]
- 30.Gilleron J, Querbes W, Zeigerer A, Borodovsky A, Marsico G, et al. Image-based analysis of lipid nanoparticle-mediated siRNA delivery, intracellular trafficking and endosomal escape. Nat. Biotechnol. 2013;31(7):638–646. doi: 10.1038/nbt.2612. [DOI] [PubMed] [Google Scholar]
- 31.Stewart MP, Sharei A, Ding X, Sahay G, Langer R, Jensen KF. In vitro and ex vivo strategies for intracellular delivery. Nature. 2016;538(7624):183–192. doi: 10.1038/nature19764. [DOI] [PubMed] [Google Scholar]
- 32.Tanida I, Ueno T, Kominami E. LC3 and autophagy. Berlin: Springer; 2008. pp. 77–88. [DOI] [PubMed] [Google Scholar]
- 33.Sarkar S. Chemical screening platforms for autophagy drug discovery to identify therapeutic candidates for Huntington’s disease and other neurodegenerative disorders. Drug Discov. Today Technol. 2013;10(1):e137–e144. doi: 10.1016/j.ddtec.2012.09.010. [DOI] [PubMed] [Google Scholar]
- 34.Zhou C, Zhong W, Zhou J, Sheng F, Fang Z, et al. Monitoring autophagic flux by an improved tandem fluorescent-tagged LC3 (mTagRFP-mWasabi-LC3) reveals that high-dose rapamycin impairs autophagic flux in cancer cells. Autophagy. 2012;8(8):1215–1226. doi: 10.4161/auto.20284. [DOI] [PubMed] [Google Scholar]
- 35.Zhang K, Chen J, Zhou H, Chen Y, Zhi Y, et al. PU. 1/microRNA-142-3p targets ATG5/ATG16L1 to inactivate autophagy and sensitize hepatocellular carcinoma cells to sorafenib. Cell Death Dis. 2018;9(3):312. doi: 10.1038/s41419-018-0344-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Mowers EE, Sharifi MN, Macleod KF. Autophagy in cancer metastasis. Oncogene. 2017;36(12):1619–1630. doi: 10.1038/onc.2016.333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Munson JM, Fried L, Rowson SA, Bonner MY, Karumbaiah L, et al. Anti-invasive adjuvant therapy with imipramine blue enhances chemotherapeutic efficacy against glioma. Sci. Transl. Med. 2012;4(127):127ra136. doi: 10.1126/scitranslmed.3003016. [DOI] [PubMed] [Google Scholar]
- 38.Park J, Wrzesinski SH, Stern E, Look M, Criscione J, et al. Combination delivery of TGF-β inhibitor and IL-2 by nanoscale liposomal polymeric gels enhances tumour immunotherapy. Nat. Mater. 2012;11(10):895–905. doi: 10.1038/nmat3355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Shi J, Kantoff PW, Wooster R, Farokhzad OC. Cancer nanomedicine: progress, challenges and opportunities. Nat. Rev. Cancer. 2017;17(1):20–37. doi: 10.1038/nrc.2016.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang Y, Gao S, Ye WH, Yoon HS, Yang YY. Co-delivery of drugs and DNA from cationic core-shell nanoparticles self-assembled from a biodegradable copolymer. Nat. Mater. 2006;5(10):791–796. doi: 10.1038/nmat1737. [DOI] [PubMed] [Google Scholar]
- 41.Tong R, Cheng J. Paclitaxel-initiated, controlled polymerization of lactide for the formulation of polymeric nanoparticulate delivery vehicles. Angew. Chem. Int. Ed. 2008;47(26):4830–4834. doi: 10.1002/anie.200800491. [DOI] [PubMed] [Google Scholar]
- 42.Herce HD, Schumacher D, Schneider AFL, Ludwig AK, Mann FA, et al. Cell-permeable nanobodies for targeted immunolabelling and antigen manipulation in living cells. Nat. Chem. 2017;9(8):762–771. doi: 10.1038/nchem.2811. [DOI] [PubMed] [Google Scholar]
- 43.Mout R, Ray M, Tay T, Sasaki K, YesilbagTonga G, Rotello VM. General strategy for direct cytosolic protein delivery via protein-nanoparticle co-engineering. ACS Nano. 2017;11(6):6416–6421. doi: 10.1021/acsnano.7b02884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sharma A, Cornejo C, Mihalic J, Geyh A, Bordelon DE, et al. Physical characterization and in vivo organ distribution of coated iron oxide nanoparticles. Sci. Rep. 2018;8(1):4916. doi: 10.1038/s41598-018-23317-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Sung JC, Pulliam BL, Edwards DA. Nanoparticles for drug delivery to the lungs. Trends Biotechnol. 2007;25(12):563–570. doi: 10.1016/j.tibtech.2007.09.005. [DOI] [PubMed] [Google Scholar]
- 46.Hadinoto K, Zhu K, Tan RB. Drug release study of large hollow nanoparticulate aggregates carrier particles for pulmonary delivery. Int. J. Pharm. 2007;341(1–2):195–206. doi: 10.1016/j.ijpharm.2007.03.035. [DOI] [PubMed] [Google Scholar]
- 47.He C, Tang Z, Tian H, Chen X. Co-delivery of chemotherapeutics and proteins for synergistic therapy. Adv. Drug Delivery Rev. 2016;98:64–76. doi: 10.1016/j.addr.2015.10.021. [DOI] [PubMed] [Google Scholar]
- 48.Shim G, Kim MG, Kim D, Park JY, Oh YK. Nanoformulation-based sequential combination cancer therapy. Adv. Drug Delivery Rev. 2017;115:57–81. doi: 10.1016/j.addr.2017.04.003. [DOI] [PubMed] [Google Scholar]
- 49.Lee MJ, Ye AS, Gardino AK, Heijink AM, Sorger PK, MacBeath G, Yaffe MB. Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks. Cell. 2012;149(4):780–794. doi: 10.1016/j.cell.2012.03.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Zhang X, Zeng X, Liang X, Yang Y, Li X, et al. The chemotherapeutic potential of PEG-b-PLGA copolymer micelles that combine chloroquine as autophagy inhibitor and docetaxel as an anti-cancer drug. Biomaterials. 2014;35(33):9144–9154. doi: 10.1016/j.biomaterials.2014.07.028. [DOI] [PubMed] [Google Scholar]
- 51.Zhang X, Yang Y, Liang X, Zeng X, Liu Z, et al. Enhancing therapeutic effects of docetaxel-loaded dendritic copolymer nanoparticles by co-treatment with autophagy inhibitor on breast cancer. Theranostics. 2014;4(11):1085–1095. doi: 10.7150/thno.9933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Zhang X, Dong Y, Zeng X, Liang X, Li X, et al. The effect of autophagy inhibitors on drug delivery using biodegradable polymer nanoparticles in cancer treatment. Biomaterials. 2014;35(6):1932–1943. doi: 10.1016/j.biomaterials.2013.10.034. [DOI] [PubMed] [Google Scholar]
- 53.Mohammadinejad R, Moosavi MA, Tavakol S, Vardar DÖ, Hosseini A, et al. Necrotic, apoptotic and autophagic cell fates triggered by nanoparticles. Autophagy. 2019;15(1):4–33. doi: 10.1080/15548627.2018.1509171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Peynshaert K, Manshian BB, Joris F, Braeckmans K, De Smedt SC, Demeester J, Soenen SJ. Exploiting intrinsic nanoparticle toxicity: the pros and cons of nanoparticle-induced autophagy in biomedical research. Chem. Rev. 2014;114(15):7581–7609. doi: 10.1021/cr400372p. [DOI] [PubMed] [Google Scholar]
- 55.He W, Xin X, Li Y, Han X, Qin C, Yin L. Rod-shaped drug particles for cancer therapy: the importance of particle size and participation of caveolae pathway. Part. Part. Syst. Charact. 2017;34(6):1600371. doi: 10.1002/ppsc.201600371. [DOI] [Google Scholar]
- 56.Mohammad IS, Teng C, Chaurasiya B, Yin L, Wu C, He W. Drug-delivering-drug approach-based codelivery of paclitaxel and disulfiram for treating multidrug-resistant cancer. Int. J. Pharm. 2018;557:304–313. doi: 10.1016/j.ijpharm.2018.12.067. [DOI] [PubMed] [Google Scholar]
- 57.Galluzzi L, Bravo-San Pedro JM, Levine B, Green DR, Kroemer G. Pharmacological modulation of autophagy: therapeutic potential and persisting obstacles. Nat. Rev. Drug Discovery. 2017;16(7):487–511. doi: 10.1038/nrd.2017.22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Mohammad IS, He W, Yin L. Smart paclitaxel-disulfiram nanococrystals for efficient MDR reversal and enhanced apoptosis. Pharm. Res. -Dordr. 2018;35(4):77. doi: 10.1007/s11095-018-2370-0. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.