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Review

Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery

by
Narottam Lamichhane
1,*,
Thirupandiyur S. Udayakumar
2,
Warren D. D’Souza
1,
Charles B. Simone II
1,
Srinivasa R. Raghavan
3,
Jerimy Polf
1 and
Javed Mahmood
1
1
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
2
Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
3
Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, MD 20742, USA
*
Author to whom correspondence should be addressed.
Molecules 2018, 23(2), 288; https://doi.org/10.3390/molecules23020288
Submission received: 14 December 2017 / Revised: 22 January 2018 / Accepted: 26 January 2018 / Published: 30 January 2018
(This article belongs to the Special Issue Liposomes as Drug Carriers)
Browse Figure
Versions Notes

Abstract

:
Liposomes have been extensively studied and are used in the treatment of several diseases. Liposomes improve the therapeutic efficacy by enhancing drug absorption while avoiding or minimizing rapid degradation and side effects, prolonging the biological half-life and reducing toxicity. The unique feature of liposomes is that they are biocompatible and biodegradable lipids, and are inert and non-immunogenic. Liposomes can compartmentalize and solubilize both hydrophilic and hydrophobic materials. All these properties of liposomes and their flexibility for surface modification to add targeting moieties make liposomes more attractive candidates for use as drug delivery vehicles. There are many novel liposomal formulations that are in various stages of development, to enhance therapeutic effectiveness of new and established drugs that are in preclinical and clinical trials. Recent developments in multimodality imaging to better diagnose disease and monitor treatments embarked on using liposomes as diagnostic tool. Conjugating liposomes with different labeling probes enables precise localization of these liposomal formulations using various modalities such as PET, SPECT, and MRI. In this review, we will briefly review the clinical applications of liposomal formulation and their potential imaging properties.

1. Introduction

Over the recent years of research innovation, drug delivery techniques have made a significant contribution to our understanding of drug tissue interactions. While many chemotherapeutic drugs and gene therapies have been developed in the last couple of decades, their efficacy is marred by toxicity and the inability to effectively reach the target site. The failure to deliver therapeutic agents at desired concentration to tumors derives from constraints that are innate to the tumor microenvironment or the bioactivity and bioavailability of therapeutic agents. Many tumors, such as pancreatic ductal adenocarcinoma (PDAC), harbor dense desmoplastic stroma that prevents therapeutic agents from effectively reaching the tumor cells [1]. In addition, increased interstitial fluid pressure (IFP) keeps the therapeutic agents at bay [2]. Low bioavailability due to elimination from circulation or biotransformation also contribute to impaired delivery of the therapeutic agents to the target site [3]. Mononuclear phagocyte system is very efficient at eliminating the therapeutic agents from circulation, hence impeding the delivery to the target site [2].
Challenges in drug delivery due to the limited diffusion of drugs as a result of high interstitial pressure and, rapid clearance of intravenously administered drugs by the systemic circulation hamper the adequate uptake of drugs in tumor regions [4,5]. These challenges associated with drug delivery have spurred research in the field of “drug delivery” aimed at developing methods that aid in delivery of the drugs/molecules to the target sites for improved clinical outcomes. Circumventing such problems is a major challenge in drug delivery vehicles. Research has primarily focused on increasing bioavailability while at the same time improving the targeting of the therapeutic agents to the tumor site. Drug delivery methods such as liposomes, micelles, dendrimers, etc. [6,7,8,9] have been widely investigated for their potential in a wide range of clinical applications. However, liposomes are one of the potentially most promising drug delivery vehicles. Liposomes are lipid vesicles consisting of one or more concentric lipid bilayers enclosing an aqueous space (Figure 1). Liposomes present an attractive delivery system because of the flexibility of changing their chemical composition, structure and colloidal size by modifying the preparation methods [10]. Liposomes can therefore be manufactured with different size, ranging from several nanometers to micrometers. Flexibility of formulation of liposomes with varying the choice of bilayer components allows liposomes to be either rigid and impermeable or permeable and less stable [11]. Surface modifications allows liposomes to be tailored for both diagnostic, therapeutic, as well as image-guided drug delivery. These unique advantages of liposomes over other nanocarriers offer solutions to many limitations in diagnosis, delivery and treatment management of human diseases [12].
Despite their attractive characteristics, liposomal delivery systems also have some drawbacks. Liposomal systems can trigger an acute hypersensitivity syndrome known as complement activation-related pseudoallergy (CARPA) as a result of the innate immune response [13]. Conventional liposomes are cleared rapidly from the circulation by the macrophages that are located mainly in the liver, spleen and bone marrow [14,15,16]. The use of modified flexible hydrophilic polymers such as polyethylene glycol (PEG), which provide a protective hydrophilic layer on the surface of the liposome reduces the clearance of liposomes from the reticuloendothelial system (RES) [17,18,19]. Such pegylated liposomes, also known as “stealth liposomes”, have prolonged circulation time [20,21] and an improved pharmacokinetic profile compared with that of a free drug [22]. Owing to their many properties liposomes have been investigated pre-clinically and clinically on many fronts as a diagnostic and therapeutic tool. Molecular imaging using multimodal probes offers great potential for early and accurate diagnosis, real time monitoring of in vivo pharmacokinetics as well as detailed information of pathologies. Versatility in liposomal surface functionalization to attach different molecular probes enables multimodal imaging that can be exploited to derive accurate and precise assessment of hallmarks of various diseases. The purpose of this review is to focus mainly on the clinical application of liposomes and their potential use as imaging agents as well as in image guided drug delivery systems.

2. Clinical Applications of Liposomes

Clinically, liposomal formulations are used as carriers for biologically active molecules. Liposomes have been extensively studied in areas such as gene therapy [23] and drug delivery [24] due to their observed stability and favorable toxicity profile over traditional treatments. Liposomes can encapsulate biomolecules or drugs that are hydrophilic and increase their internalization and solubility through the lipid bilayers of the cells [25]. Research interest in liposomal formulations have increased significantly in the last decade and have been shown to be safer than viral vectors due to their low immunogenicity, more limited toxicity and their ability to carry larger cargo to the target sites [26,27]. Liposomal formulations have shown to accumulate in the target tissue—with enhanced bio-distribution [28]. Drug formulations with liposomes are approved for intravenous, intramuscular [29] and oral delivery [30] and the delivery is determined by the mechanism of drug loading, composition of the membrane, and the tumor microenvironment [31]. Clinically approved liposomal drugs—are pegylated variants to improve their time in circulation and protect the integrity of the drug from various degrading mechanisms active inside a tissue or cell.
Liposome-mediated drug delivery systems have been successfully translated into clinical settings [32]. These delivery systems are used in diverse medical fields, including anti-cancer, anti-fungal and anti-inflammatory drugs as well as therapeutic gene delivery. Many clinical products, e.g., DoxilTM, AmBisome® and DepoDur [32] have been formulated using liposomes for clinical applications. Therapeutic use of various agents through alterations in their pharmacokinetics and pharmacodynamics were enhanced by encapsulation of drugs in liposomes. A number of liposome-based drug formulations are approved for human use and many additional products are currently being assessed in different clinical trials.
In 1995, DoxilTM was first introduced in U.S., to treat ovarian cancer and AIDS-related Kaposi’s sarcoma [33]. DoxilTM, liposomal doxorubicin, was developed exploiting active loading by pH gradient method [34,35]. Further, DaunoXome® was developed by NeXstar Pharmaceuticals (Boulder, CO, USA) for the delivery of daunorubicin, and was FDA approved in 1996 for the management of advanced HIV-associated Kaposi’s sarcoma. Other products since available include Mepact® by Takeda Pharmaceutical (Deerfield, IL, USA), DepoCyt® by SkyPharma Inc. (Belgravia, London, UK), Marqibo® by Talon Therapeutics (San Francisco, CA, USA) and a fluorouracil, leucovorin combination with liposomes (Merrimack Pharmaceuticals Inc., Cambridge, MA, USA) therapy-based product for metastatic adenocarcinoma of the pancreas and Myocet® by Elan Pharmaceuticals (San Francisco, CA, USA). Apart from cancer treatments, liposomal products were also developed for other diseases such as fungal infections (Amphotec® and AmBisome®). Liposomes have become an important carrier systems for vaccine development leading to the development of vaccines such as Epaxal® and Inflexal V® for hepatitis and influenza, respectively.

2.1. Liposomal Formulations in Clinical Trials

Currently, there are a number of liposomal products undergoing clinical trials. In the past decade, extensive research on lipid carriers and liposomal formulations lead to the development of new liposome mediated drug delivery. Here, we highlighted some of the liposomal products in clinical trials (Table 1).

2.1.1. Phase I

Liposomal formulations in phase I clinical trials include Grb-2, LEM-ETU, INX 0125 and 0076. We briefly discuss these trials under this section. Grb-2 is used for the treatment of breast cancer and leukemia.
Grb-2 liposomes (BP-100-1.01) inhibit the production of the growth factor receptor-bound protein-2. Grb-2 is a DOPC-integrated antisense oligonucleotide [61]. Grb-2 inhibits tumor cell proliferation due to its anti-neoplastic activities and the presence of antisense oligo-deoxy-nucleotide [62]. In a Phase 1 trial, Grb-2 is being studied for the treatment of relapsed or refractory acute myeloid leukemia and its safety, maximum tolerated dose, optimal therapeutic dose and anticancer activity is also being explored.
LEM-ETU liposomes is used in the management of various treatments including, leukaemia, breast, stomach, liver and ovarian cancers and are composed of DOPC, cholesterol and cardiolipin [63,64]. Compared to other liposomes, the presence of cardiolipin helps in drug entrapment and higher drug loading capability. Further, “NeoPharm’s NeoLipid liposome technology” developed these liposomes for the treatment of various cancers.
INX-0125 and INX-0076 are developed by Inex pharmaceuticals (Burnaby, British Columbia, Canada) and are undergoing a phase I clinical trial. Both of these liposomal formulations are composed of cholesterol and sphingomyelin (SM) and are developed for the treatment of advanced solid tumors [21]. Sphingosomal formulations enhance tumor targeting and also increase the duration of exposure for loaded anticancer agents without any increase in toxicity in preclinical trials [31]. INX-0125 has also been used in the treatment of Hodgkin’s and non-Hodgkin’s lymphoma. Based on phase I clinical trials, INX-0076 protects the drug from in vivo degradation and has been shown to accumulate at target sites thus increasing the efficacy of the drug [32].

2.1.2. Phase II

Aroplatin™ (L-NDDP) is a chemotherapeutic platinum analogue (cis-bisneodecanoato-trans-R,R-1,2-diaminocyclohexane platinum II) and the first liposomal platinum formulation to enter into clinical trials; the loaded analogue is structurally similar to Eloxatin (Oxaliplatin; Sanofi Aventis, Bridgewater, NJ, USA). These platinum analogues have cytotoxic properties where, they form inter- and intra-strand cross-links of DNA, thereby inhibiting DNA synthesis in tumor cells [21,37]. Aroplatin™ analogues have been studied in preclinical models and found to be effective in inhibiting the emergence of liver metastasis of reticulosarcoma. This formulation reduced toxicity and, improved activity and bioavailability [65]. An early phase Phase I/II trial of Aroplatin™ was completed in 2002 for advanced solid malignancies, however, a phase I dose escalation trial was carried out in 2005 where a maximum tolerated dose was reached, followed by termination of this trial in spite of the clinical results obtained due to the inaccurate chemical composition along with the instability of the drug in liposomes [66].
LEP Easy-to-Use (LEP-ETU) is a novel delivery system of paclitaxel developed by NeoPharm, Inc. (Blainville, QC, Canada). Paclitaxel (taxol) is an anti-micro-tubular network agent that has been studied in different malignancies. Preclinical studies of liposome-entrapped paclitaxel (LEP) have demonstrated that LEP was associated with reduced toxicity while maintaining efficacy [40]. To enhance the solubility with Paclitaxel, this drug is formulated with polyoxyethylated castor oil that led to infusion-related hypersensitivity reactions. NeoPharm improved the safety profile by formulating LEP-ETU with a mixture of synthetic phospholipids and cholesterol that is necessary for administering higher doses than would commonly or safely be used with taxol. The results from phase I clinical trials of NeoPharm, showed LEP-ETU is better tolerated than taxol, as indicated by a higher maximum-tolerated dose (MTD).
OSI-211 liposomes (OSI Pharmaceuticals, Melville, NY, USA), a liposomal formulation of lurtotecan (LRT), are composed of a HSPC and cholesterol (2:1). OSI-211 is a topoisomerase I inhibitor, and is currently in Phase II clinical trials [67]. In pre-clinical studies the product demonstrated increased drug accumulation in tumor. Compared to topotecan, OSI-211 showed a similar toxicity profile in a randomized phase II clinical trial in relapsed ovarian cancer treatment [68]. Next-generation formulations OSI-211 and NX 211 were used in the treatment of ovarian and head & neck cancer.
Cisplatin is a highly effective chemotherapeutic agent against epithelial cancers [69]. To reduce the systemic toxicity of this agent, a liposomal pegylated formulation, Liposomal cisplatin (SPI-077), was developed. Phase I studies of SPI-77 began in 1995 at doses ranging from 40 to 420 mg/m2 [70]. Results from a Phase1 study demonstrated the ability to deliver ten-fold the amount of cisplatin per dose without encountering any toxicities beyond grade 1. Side-effects included mild gastrointestinal toxicity (nausea and vomiting), and mild anemia, muscle weakness (at doses of ≥320 mg/m2) and a case of infusion-related reaction [71].

2.1.3. Phase III

Cyclophosphamide (CYP) is an alkylating agent broadly used as an anticancer chemotherapeutic agent for numerous malignancies [72,73,74]. The active carbonium ion produced by CYP reacts with nucleic acids and proteins of tumor cells. Pre-clinical studies have demonstrated that CYP entrapped in liposomes reduces non-specific toxicities and enhances anticancer effects [75,76]. Pre-clinical studies showed that encapsulation of CYP increased its mutagenicity resulting in accumulation of drug inside the cell and eventually causing chromosomal damage [77]. In a phase III trial of liposomal doxorubicin (Myocet) and a stereoisomer of doxorubicin (epirubicin) combined with cyclophosphamide as first-line therapy for metastatic breast cancer, it was shown that Myocet has modest but significant increase in efficacy than epirubicin [56].
Stimuvax® (L-BLP-25 or tecemotide, Merck, Kenilworth, NJ, USA), is a therapeutic vaccine for cancers expressing Tumor-Specific Antigens (TSA) that integrates an antigenic lipo-peptide, i.e., tecemotide, in a liposomal delivery system. Mucin 1 (MUC1) is overexpressed in different cancer cells (breast, prostate, non-small cell lung cancer (NSCLC) and colorectal cancer) that are the target for tacetomide. Stimuvax, triggers a cellular immune reaction after targeting TSA, leading to immune rejection of tumors that have the MUC1 antigen [78]. Stimuvax® looked promising in a randomized Phase II trial that led to a subsequent Phase III trial where Stimuvax® was administered after chemotherapy and radiation therapy for locally advanced (stage III) NSCLC. In Phase II trials, Stimuvax® showed a significant increase in life expectancy from 13.3 to 30.6 months and showed a positive outcome in stage III and IV NSCLC patients. However, in Phase III trials, Stimuvax® did not meet its primary or secondary end-points, which led to the termination of the trial [46,79].
Liposomal formulation of cisplatin (CPT), Lipoplatin, is a FDA approved cytotoxic agent. Its mechanisms include DNA cross linking and inhibition of DNA synthesis. For pancreatic cancer the product used was Lipoplatin and for lung cancer was Nanoplatin [41]. Lipoplatin is composed of lipids including 1,2-dipalmitoyl-sn-glycero-3-phosphorylglycerol (DPPG), soy PC, monomethoxy-polyethylene-glycol-1,2-distearoyl-sn-glycero-3-phosphoethanolamine (MPEG-DSPE) lipid conjugate and cholesterol. The advantages of CPT incorporation in liposomes include increased cell permeability, longer half-life of the drug in circulation, and higher concentration of drugs in tumors [80]. Toxicities including renal and neuropathy were considerably reduced with lipoplatin compared to CPT given alone [81].

2.2. Liposomes and Image Guided Delivery

Imaging plays an integral part in modern precision and individualized medicine. Wide applications of imaging such as monitoring drug delivery, accurate diagnosis of diseases, determining response to therapy, and guiding minimally invasive procedures are some of the applications of imaging in clinic. However, traditional imaging modalities such as computed tomography (CT), positron emission tomography (PET), magnetic resonance imaging (MRI), and single photon emission computed tomography (SPECT) all suffer from target specificity, limiting their clinical utility. Nanoparticles with their versatility in surface functionalization provide opportunities to enhance target specificity and label nanoparticles with various isotopes that enables them to act as contrast agents.
Radionuclide imaging offers unique strengths in cancer diagnosis. Use of radiolabel liposomes could act as a companion diagnostic. Pre-administration of radiolabeled liposomes and quantifying the uptake of liposomes in target sites can help in determining drug responders vs. non-responders. This will also help in determining an optimal dose to predict a potential therapeutic response. Hence, insufficient accumulation may represent lack of therapeutic response. In such scenarios, the liposomes can be altered to better manage patients [82]. The majority of radionuclide imaging is carried out using PET and SPECT. Multimodality imaging such as MRI and CT provides detail anatomical information, however they are not capable of providing disease states. On the other hand, PET and SPECT can measure chemical changes pre- and post-treatment intervention [83]. The potential of functionalization of liposomes offers an advantage of engineering liposomes to target cancer cells for the use in radionuclide imaging of malignant lesions. For this purpose, the radionuclide can be directly conjugated on the surface of the liposomes or can be encapsulated in the aqueous core (Figure 1). Radiolabeling of liposomes can be achieved using various labeling procedures. Passive encapsulation of radionuclide, labeling the liposomal membrane or labeling the preformed liposomes by loading the radionuclide using an ionophore or chelator are different labeling ways. Application of radiolabeled liposomes for clinical settings require high incorporation efficiency and good retention of radiolabel agents. Remote afterloading of liposomal formulations had shown most efficient labeling and best radiolabel retention [82]. Various PET and SPECT radioisotopes have been utilized to conjugate with liposomes to evaluate their clinical utility in multimodal imaging. Quantitation of liposomes generated by SPECT or PET images also enables non-invasive data analysis over time [84,85].

2.3. PET Imaging

Quantitative imaging with nanoparticle provides accurate and precise assessment of pathologies in cancer care and opens up the pathway for personalized precision medicine. PET imaging is an outstanding tool to derive a quantitative measure and real time monitoring of the biomarker uptake in vivo. Various researchers have studied the feasibility of PET imaging by conjugating PET isotopes in long circulating liposomes [83,86,87,88,89,90,91]. Wong et al. [92] evaluated the clinical utility of 64Cu (T1/2 = 12.7 h) labeled liposomes as diagnostic and therapeutic tools to measure tumor volume, as a contrast agent, and compared the biodistribution of 64Cu-labeled liposomes to the clinical tracer 18F-FDG. In this study, Wong et al. reported that the estimates of tumor diameter were comparable between 64Cu-liposomes and 18F-FDG and heterogeneity of uptake with both tracers. The feasibility of image contrast with both tracers was also reported. Another study by Seo et al. [93] studied two 64Cu-radiolabeled lipids of different acyl chains (1 mol % DSPE vs. 1 mol % DPPE) in long circulating liposomes and presented the differences of stability of these lipids using PET imaging. Remote loading method of 64Cu into liposomes using 2-hydroxyquinoline to transport 64Cu through the membrane to the copper chelator was studied by Petersen et al. [89]. Seo et al. [84] also looked into the pharmacokinetics of 89Zr (T1/2 = 78.4 h) labeled liposomes over the extended period of time in a murine model. Zirconium (Zr) with a relatively longer decay has been exploited as a potential isotope for PET imaging to study the pharmacokinetics for an extended period. In this study, Seo et al. reported that the location of 89Zr label altered the clearance rate of intracellularly trapped radioactivity and suggested optimization of chelator and attachment strategies for future studies to use 89Zr for image based pharmacokinetics. Perez-Medina et al. [94] also reported on 89Zr labeling of liposomes using two different approaches for pharmacokinetic and biodistribution. They studied two different approaches of 89Zr labeling using click labeling and surface chelation and observed that surface chelation is superior in terms of stability and in vivo performance. Marik et al. [95] synthesized 18F (T1/2 = 110 min) radiolabeled diglyceride, 3-[18F]-fluoro-1,2-dipalmitoylglycerol [18F] fluorodipalmitin ([18F] FDP) and its conjugation to synthesize 18F labeled liposomes. Marik et al. [95] reported the feasibility of PET imaging using both the radiolabeled [18F] FDP and liposome-incorporated [18F] FDP. Freely injected [18F] FDP had the highest uptake in the liver, spleen and lungs. Liposomal [18F] FDP remained in blood circulation at near-constant levels for at least 90 min, with a peak concentration near 2.5% ID/cc. Hansen et al. studied the EPR effect in 11 canine cancer patients with spontaneous solid tumors using 64Cu-loaded liposomes by PET/CT imaging. In this study, Hansen et al. included different tumor types and showed tumor dependent differences in accumulation and heterogeneity of uptake of the radiotracers. The study showed that the squamous cell carcinomas had the highest EPR effect as compared to other type of tumors [96]. Luo et al. studied the effects of phorphyrin-phospholipid inclusion in 64Cu-radiolabeled doxorubicin containing stealth liposomes (Dox-PoP). Luo et al. showed that Dox-PoP liposomes accumulated passively into tumor using both PET ad fluorescence imaging. Luo et al. also demonstrated strong primary tumor growth inhibition with a single treatment of chemophototherapy using 665 nm light (200 J/cm2) [97].
Recent work on PET labeling has also focused on the optimization procedures using longer lived isotope such as 52Mn (T1/2 = 5.6 days). A study by Jensen et al. [98] evaluated the optimal protocols on 52Mn labeling through both remote-loading and surface labeling. In this study, Jensen et al. reported that the labeling efficiencies of 52Mn with both labeling procedures were similar; however, the plasma half-life of surface conjugated 52Mn liposomes were shorter than remote loading. The popularity of PET in routine clinical practice due to its ability to diagnose diseases, more accurately stage malignancies, evaluate treatment response, detect CT-occult metastatic lesions and various other characteristics have established this imaging modality as a workhorse of nuclear medicine procedures. Tremendous efforts on developing image drug delivery systems are still ongoing with the intent of obtaining better diagnosis and therapy of different diseases. PET labeling of liposomes is an effort at circumventing some of these challenges which requires precise formulation, surface architecture and functionalization, and accurate design of drug loading procedures.

2.4. SPECT Imaging

SPECT is another commonly used imaging modality in nuclear medicine procedures. Like PET, SPECT imaging also requires an injection of molecular probes that are labeled with radionuclides. 111In (T1/2 = 2.81 days), 99mTc (T1/2 = 6 h) and 67Ga (T1/2 = 78.26 h) represent some of the SEPCT isotopes that are used to label liposome to enable SPECT signal. Espinola et al. [99] studied the organ distribution of 99mTc and 111In oxine labeled multilamellar lipid vesicles in 1978. In that study, Espinola et al. reported that constant distribution of 111In-oxine labeled vesicles was observed throughout 72 h as compared to 99mTc labeled vesicles that showed continuous leakage of radioactivity from the involved organs. Ogihara et al. [100,101,102,103] studied the differential uptake of 67Ga and 67Ga labeled liposomes in tumors and inflammatory regions in rats. In that study, Ogihara et al. reported that positively charged liposomes preferentially delivered 67Ga to the tumor compared with granulation tissue, suggesting that 67Ga labeled liposomes are able to discriminate tumor and inflammatory lesions. Proffitt et al. [104] successfully imaged EMT6 tumors in BALB/c mice using In-111 nitrilotriacetic acid loaded liposomes. Biodistribution studies performed using three different liposomes with different charges showed the highest uptake with neutral 111In nitrilotriacetic acid loaded liposomes. Turner et al. [105] developed 111In-labeled liposomes and studied dosimetric effects of these liposomes in 24 patients. Tumor was observed in 22 out of 24 patients in the scans. However, Turner et al. reported homogenous uptake of these liposomes in the liver and spleen with scans obtained 24 and 48 h post injection which is typical of nanoparticles. In clinical studies, Kubo et al. reported tumor imaging of seven patients using 111In-labeled V-liposomes. Results from that study revealed increased activity in the tumors of four patients [106]. Furthermore, rapid blood clearance of liposomes with homogenous uptake in the liver and spleen was observed. One of the challenges in nuclear medicine is the localization of infectious and inflammatory lesions. In order to evaluate the potential of liposome to visualize foci of infection and inflammation, Boerman et al. [107] investigated 111In-labeled pegylated liposomes in S. aureus infection induced in rats using gamma imaging. As a control, 111In-IgG images were used as a comparison to 111In-liposomes. Abscesses were visualized within an hour of 111In-liposome post injection. Contrast between the infectious focus and the background increased with time. The ratio of abscess to background was significantly higher (p < 0.04) with 111In-liposomes as compared to 111In-IgG [108]. 99mTc labeled liposomes were also investigated from the same group to evaluate their feasibility to detect infection and inflammation. The authors reported that 99mTc liposomes preferentially accumulated in abscesses [107]. Another clinical study by Harrington et al. investigated the effective targeting of solid tumors in 17 patients with locally advanced cancers using 111In-labeled PEGylated liposomes with tumor seen in 15 of these patients. In 12 of the 17 patients, the tumor was clearly visible in the whole body scan; in an additional 3 patients that included 2 gliomas and 1 cervical cancer, SPECT scans of the regions of interest were required to identify the tumors [109]. As a representation of the study, Harrington et al. presented gamma camera images of three patients with three different cancers at 72 h post 111In-DTPA labeled pegylated liposomes that showed clear depiction of tumors in all three images [109]. Molecular imaging using SPECT enabling liposomes are increasingly being investigated to diagnose various diseases including inflammation, plaques, cancers and many more [110,111,112,113,114,115]. Molecular imaging using radiolabeled nanoparticles is also aimed at facilitating better delivery, in vivo pharmacokinetics monitoring, as well controlled release. In lieu of this, there has been limited research into radiolabeling liposomes with dual isotopes as a hybrid model [116,117]. A recent study by Lamichhane et al. also looked into 111In-labeled liposomes as a drug delivery vehicle for a 18F-labeled carboplatin derivative. This hybrid liposome construct was used to acquire dual modality imaging of a liposome vehicle using SPECT and drug using PET. This allowed for determining the pharmacokinetics and in vivo behavior of drug and vehicle distinctively using two different imaging modalities [118].

2.5. MRI Imaging

MRI is the most powerful non-invasive imaging modality that offers high soft tissue contrast, spatial resolution, and penetration depth [119]. Despite the relatively high soft tissues contrast with MRI images, in some cases it does not allow for enough image contrast to diagnose the pathology of interest. Such cases require the use of contrast agents to improve the contrast-to-noise ratio by shortening the spin-lattice T1 and/or spin-spin T2 relaxation times of the water protons within the region of interest [120,121,122]. There is an increased interest in using liposomes as contrast agents for MRI due to their tunable properties and lower toxicities as compared to the currently used contrast agents such as gadolinium. Liposomes have long been proposed as a vehicle to deliver paramagnetic ions by entrapping them inside them to reduce the systemic toxicity and potential to increase the contrast to noise ratio [123]. Multimodality imaging offers an additional advantage of retrieving information based on different modalities. Researches have also assessed bimodal detection of tumor using optical/MRI tagged liposomes. Ding et al. studied the effectiveness of targeting by evaluating folate receptor targeted fluorescent paramagnetic liposomes for tumor imaging. In their study, folate targeting was verified by measuring the uptake of folate conjugated liposomes using confocal microscopy and comparing the uptake to the untargeted liposomes. The MR image of HeLa cells incubated with folate conjugated Gd containing liposomes was also brighter than that of HeLa cells incubated with only Gd-DTPA [124]. Local delivery of drug to the tumor region increases the therapeutic ratio of chemotherapeutic agents. Releasing the payload encapsulated inside liposomes and quantifying the amount of release provides feedback on optimizing liposomes for specific purposes. Encapsulating chemotherapeutic agents with gadolinium and releasing these agent in tumor using high intensity focused ultrasound offers promise in local delivery and MRI guided therapy [112,125,126]. A similar approach of encapsulating non-Gd-containing T1-MR contrast agents based on Fe-succinyl deferoxamine (Fe-SDFO) has been studied as a safe alternative [127]. In this study, Kneepkens et al. reported that the amount of doxorubicin delivered to the tumor correlated with the rate of relaxation change. Another challenge in drug delivery is the blood brain barrier. Convection enhanced delivery (CED) of drugs enables higher concentration of drugs insitu as compared to systemic administration. Nordling-David et al. studied the delivery of temozolomide (TMZ) encapsulated liposomes in conjunction with GD-DTPA liposomes using CED to treat glioblastoma multiforme (GBM). This study reported that the co-infusion of pegylated Gd-DTPA liposomes and TMZ-liposomes by CED in GBM bearing rats, resulted in enhanced tumor detection with longer residence time than free Gd-DTPA. Treatment of GBM-bearing rats with either TMZ solution or TMZ-liposomes resulted in greater tumor inhibition and significantly higher survival; with no significant difference in survival with liposome formulation as compared to TMZ alone [128]. Shao et al. studied the difference of MR contrast using prophyrin-phospholipd and amino functionalized porphyrin phospholipid in BALB/c mouse. In this study Shao et al. synthesized manganese conjugated liposomes using 2-[1-hexyloxyethyl]-2-devinyl pyropheophor-bide-a (HPPH), a porphyrin derivative. This derivative was amine modified to derive N-HPPH-lipid which was also used to synthesize manganese conjugated liposomes. With the amino modification, Shao et al. observed 150% higher T1 relaxivity (mms)−1, increase to 2.46 for Mn-N-HPPH liposomes from 0.98 form Mn-HPPH liposomes [129].

3. Conclusions

Liposomes have been explored for various diseases ranging from cancer treatment to pain management. Advantages of using liposomal formulations include: (1) the properties of these liposomes like pharmacokinetics and pharmacodynamics are easily maneuverable, (2) improved bioavailability and (3) reduced toxicity. Different liposomal formulations are made for various applications such as temperature sensitive liposomes, cationic liposomes and liposomal vaccines. Collectively, these liposomal formulations have the ability to enhance or to overcome the limitations of conventional therapies. Furthermore, liposomes have shown great promise in their design to label them with molecular probes for imaging. Exploitation of liposomal characteristics to improve the target specificity and encapsulation can achieve significant therapeutic efficacy. Many liposomal formulations have successfully translated to clinical applications after extensive research on their efficacy and preclinical trials have demonstrated a greater impact on patients with various ailments, thereby improving the quality of life. Designing such liposomes with imaging probes can further enable real time delivery, monitoring and assessment of biological signatures that can ultimately lead to effective and personalized treatment.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Nagathihalli, N.S.; Castellanos, J.A.; Shi, C.; Beesetty, Y.; Reyzer, M.L.; Caprioli, R.; Chen, X.; Walsh, A.J.; Skala, M.C.; Moses, H.L.; et al. Signal transducer and activator of transcription 3, mediated remodeling of the tumor microenvironment results in enhanced tumor drug delivery in a mouse model of pancreatic cancer. Gastroenterology 2015, 149, 1932–1943. [Google Scholar] [CrossRef] [PubMed]
  2. Sriraman, S.K.; Aryasomayajula, B.; Torchilin, V.P. Barriers to drug delivery in solid tumors. Tissue Barriers 2014, 2, e29528. [Google Scholar] [CrossRef] [PubMed]
  3. Akhdar, H.; Legendre, C.; Aninat, C.; More, F. Anticancer drug metabolism: Chemotherapy resistance and new therapeutic approaches. In Topics on Drug Metabolism; Paxton, J., Ed.; InTech: Rijeka, Croatia, 2012; p. 6. [Google Scholar]
  4. Ernsting, M.J.; Murakami, M.; Roy, A.; Li, S.D. Factors controlling the pharmacokinetics, biodistribution and intratumoral penetration of nanoparticles. J. Control. Release 2013, 172, 782–794. [Google Scholar] [CrossRef] [PubMed]
  5. Phillips, W.T.; Bao, A.; Brenner, A.J.; Goins, B.A. Image-guided interventional therapy for cancer with radiotherapeutic nanoparticles. Adv. Drug Deliv. Rev. 2014, 76, 39–59. [Google Scholar] [CrossRef] [PubMed]
  6. Lembo, D.; Cavalli, R. Nanoparticulate delivery systems for antiviral drugs. Antivir. Chem. Chemother. 2010, 21, 53–70. [Google Scholar] [CrossRef] [PubMed]
  7. Massoud, T.F.; Gambhir, S.S. Molecular imaging in living subjects: Seeing fundamental biological processes in a new light. Genes Dev. 2003, 17, 545–580. [Google Scholar] [CrossRef] [PubMed]
  8. Ostro, M.J.; Cullis, P.R. Use of liposomes as injectable-drug delivery systems. Am. J. Hosp. Pharm. 1989, 46, 1576–1587. [Google Scholar] [PubMed]
  9. Caminade, A.M. Phosphorus dendrimers for nanomedicine. Chem. Commun. (Camb.) 2017, 53, 9830–9838. [Google Scholar] [CrossRef] [PubMed]
  10. Elbayoumi, T.A.; Torchilin, V.P. Current trends in liposome research. Methods Mol. Biol. 2010, 605, 1–27. [Google Scholar] [PubMed]
  11. Akbarzadeh, A.; Rezaei-Sadabady, R.; Davaran, S.; Joo, S.W.; Zarghami, N.; Hanifehpour, Y.; Samiei, M.; Kouhi, M.; Nejati-Koshki, K. Liposome: Classification, preparation, and applications. Nanoscale Res. Lett. 2013, 8, 102. [Google Scholar] [CrossRef] [PubMed]
  12. Malam, Y.; Loizidou, M.; Seifalian, A.M. Liposomes and nanoparticles: Nanosized vehicles for drug delivery in cancer. Trends Pharmacol. Sci. 2009, 30, 592–599. [Google Scholar] [CrossRef] [PubMed]
  13. Sercombe, L.; Veerati, T.; Moheimani, F.; Wu, S.Y.; Sood, A.K.; Hua, S. Advances and challenges of liposome assisted drug delivery. Front. Pharmacol. 2015, 6, 286. [Google Scholar] [CrossRef] [PubMed]
  14. Medina, O.; Zhu, Y.; Kairemo, K. Targeted liposomal drug delivery in cancer. Curr. Pharm. Des. 2004, 10, 2981–2989. [Google Scholar] [CrossRef] [PubMed]
  15. Torchilin, V. Recent advances with liposomes as pharmaceutical carriers. Nat. Rev. Drug Discov. 2005, 4, 145–160. [Google Scholar] [CrossRef] [PubMed]
  16. Harrington, K.J.; Rowlinson Busza, G.; Syrigos, K.N.; Uster, P.S.; Abra, R.M.; Stewart, J.S. Biodistribution and pharmacokinetics of 111In-DTPA-labelled pegylated liposomes in a human tumour xenograft model: Implications for novel targeting strategies. Br. J. Cancer 2000, 83, 232–238. [Google Scholar] [CrossRef] [PubMed]
  17. Yang, T.; Choi, M.-K.; Cui, F.-D.; Kim, J.; Chung, S.-J.; Shim, C.-K.; Kim, D.-D. Preparation and evaluation of paclitaxel-loaded pegylated immunoliposome. J. Control. Release 2007, 120, 169–177. [Google Scholar] [CrossRef] [PubMed]
  18. Klibanov, A.L.; Maruyama, K.; Torchilin, V.P.; Huang, L. Amphipathic polyethyleneglycols effectively prolong the circulation time of liposomes. FEBS Lett. 1990, 268, 235–237. [Google Scholar] [CrossRef]
  19. Klibanov, A.L.; Maruyama, K.; Beckerleg, A.M.; Torchilin, V.P.; Huang, L. Activity of amphipathic poly(ethylene glycol) 5000 to prolong the circulation time of liposomes depends on the liposome size and is unfavorable for immunoliposome binding to target. Biochim. Biophys. Acta 1991, 1062, 142–148. [Google Scholar] [CrossRef]
  20. Chow, T.-H.; Lin, Y.-Y.; Hwang, J.-J.; Wang, H.-E.; Tseng, Y.-L.; Pang, V.; Liu, R.-S.; Lin, W.-J.; Yang, C.-S.; Ting, G. Therapeutic efficacy evaluation of 111In-labeled pegylated liposomal vinorelbine in murine colon carcinoma with multimodalities of molecular imaging. J. Nucl. Med. 2009, 50, 2073–2081. [Google Scholar] [CrossRef] [PubMed]
  21. Immordino, M.L.; Dosio, F.; Cattel, L. Stealth liposomes: Review of the basic science, rationale, and clinical applications, existing and potential. Int. J. Nanomed. 2006, 1, 297–315. [Google Scholar]
  22. Soundararajan, A.; Dodd, G.; Bao, A.; Phillips, W.; McManus, L.; Prihoda, T.; Goins, B. Chemoradionuclide therapy with 186Re-labeled liposomal doxorubicin in combination with radiofrequency ablation for effective treatment of head and neck cancer in a nude rat tumor xenograft model. Radiology 2011, 261, 813–823. [Google Scholar] [CrossRef] [PubMed]
  23. Tseng, W.-C.; Huang, L. Liposome-based gene therapy. Pharm. Sci. Technol. Today 1998, 1, 206–213. [Google Scholar] [CrossRef]
  24. Allen, T.M.; Cullis, P.R. Liposomal drug delivery systems: From concept to clinical applications. Adv. Drug Deliv. Rev. 2013, 65, 36–48. [Google Scholar] [CrossRef] [PubMed]
  25. Fahr, A.; van Hoogevest, P.; May, S.; Bergstrand, N.; ML, S.L. Transfer of lipophilic drugs between liposomal membranes and biological interfaces: Consequences for drug delivery. Eur. J. Pharm. Sci. 2005, 26, 251–265. [Google Scholar] [CrossRef] [PubMed]
  26. Samad, A.; Sultana, Y.; Aqil, M. Liposomal drug delivery systems: An update review. Curr. Drug Deliv. 2007, 4, 297–305. [Google Scholar] [CrossRef] [PubMed]
  27. Madeira, C.; Mendes, R.D.; Ribeiro, S.C.; Boura, J.S.; Aires-Barros, M.R.; da Silva, C.L.; Cabral, J.M. Nonviral gene delivery to mesenchymal stem cells using cationic liposomes for gene and cell therapy. J. Biomed. Biotechnol. 2010, 2010, 735349. [Google Scholar] [CrossRef] [PubMed]
  28. Park, J.W. Liposome-based drug delivery in breast cancer treatment. Breast Cancer Res. 2002, 4, 95–99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Koshkina, N.V.; Gilbert, B.E.; Waldrep, J.C.; Seryshev, A.; Knight, V. Distribution of camptothecin after delivery as a liposome aerosol or following intramuscular injection in mice. Cancer Chemother. Pharmacol. 1999, 44, 187–192. [Google Scholar] [CrossRef] [PubMed]
  30. Rogers, J.A.; Anderson, K.E. The potential of liposomes in oral drug delivery. Crit. Rev. Ther. Drug Carrier Syst. 1998, 15, 421–480. [Google Scholar] [CrossRef] [PubMed]
  31. Torchilin, V.P. Multifunctional, stimuli-sensitive nanoparticulate systems for drug delivery. Nat. Rev. Drug Discov. 2014, 13, 813–827. [Google Scholar] [CrossRef] [PubMed]
  32. Bulbake, U.; Doppalapudi, S.; Kommineni, N.; Khan, W. Liposomal formulations in clinical use: An updated review. Pharmaceutics 2017, 9, 12. [Google Scholar] [CrossRef] [PubMed]
  33. Barenholz, Y. Doxil®—The first fda-approved nano-drug: Lessons learned. J. Control. Release 2012, 160, 117–134. [Google Scholar] [CrossRef] [PubMed]
  34. Lasic, D.D.; Frederik, P.M.; Stuart, M.C.; Barenholz, Y.; McIntosh, T.J. Gelation of liposome interior. A novel method for drug encapsulation. FEBS Lett. 1992, 312, 255–258. [Google Scholar] [CrossRef]
  35. Haran, G.; Cohen, R.; Bar, L.K.; Barenholz, Y. Transmembrane ammonium sulfate gradients in liposomes produce efficient and stable entrapment of amphipathic weak bases. Biochim. Biophys. Acta 1993, 1151, 201–215. [Google Scholar] [CrossRef]
  36. Ohanian, M.; Kantarjian, H.M.; Ravandi, F.; Borthakur, G.; Garcia-Manero, G.; Andreeff, M.; Jabbour, E.; Konopleva, M.; Lim, M.; Pierce, S.; et al. Safety, pharmacokinetics, and efficacy of BP-100-1.01 (liposomal Grb-2 antisense oligonucleotide) in patients with refractory or relapsed acute myeloid leukemia (AML), philadelphia chromosome positive chronic myelogenous leukemia (CML), acute lymphoblastic leukemia (ALL), and myelodysplastic syndrome (MDS). Blood 2015, 126, 3801. [Google Scholar]
  37. Harper, B.W.; Krause-Heuer, A.M.; Grant, M.P.; Manohar, M.; Garbutcheon-Singh, K.B.; Aldrich-Wright, J.R. Advances in platinum chemotherapeutics. Chemistry 2010, 16, 7064–7077. [Google Scholar] [CrossRef] [PubMed]
  38. Clancy, J.P.; Dupont, L.; Konstan, M.W.; Billings, J.; Fustik, S.; Goss, C.H.; Lymp, J.; Minic, P.; Quittner, A.L.; Rubenstein, R.C.; et al. Phase II studies of nebulised arikace in cf patients with pseudomonas aeruginosa infection. Thorax 2013, 68, 818–825. [Google Scholar] [CrossRef] [PubMed]
  39. Semple, S.C.; Leone, R.; Wang, J.; Leng, E.C.; Klimuk, S.K.; Eisenhardt, M.L.; Yuan, Z.N.; Edwards, K.; Maurer, N.; Hope, M.J.; et al. Optimization and characterization of a sphingomyelin/cholesterol liposome formulation of vinorelbine with promising antitumor activity. J. Pharm. Sci. 2005, 94, 1024–1038. [Google Scholar] [CrossRef] [PubMed]
  40. Slingerland, M.; Guchelaar, H.J.; Rosing, H.; Scheulen, M.E.; van Warmerdam, L.J.; Beijnen, J.H.; Gelderblom, H. Bioequivalence of liposome-entrapped paclitaxel easy-to-use (LEP-ETU) formulation and paclitaxel in polyethoxylated castor oil: A randomized, two-period crossover study in patients with advanced cancer. Clin. Ther. 2013, 35, 1946–1954. [Google Scholar] [CrossRef] [PubMed]
  41. Boulikas, T. Clinical overview on lipoplatin: A successful liposomal formulation of cisplatin. Expert Opin. Investig. Drugs 2009, 18, 1197–1218. [Google Scholar] [CrossRef] [PubMed]
  42. Seiden, M.V.; Muggia, F.; Astrow, A.; Matulonis, U.; Campos, S.; Roche, M.; Sivret, J.; Rusk, J.; Barrett, E. A Phase II study of liposomal lurtotecan (OSI-211) in patients with topotecan resistant ovarian cancer. Gynecol. Oncol. 2004, 93, 229–232. [Google Scholar] [CrossRef] [PubMed]
  43. Prostaglandin E1 (liprostin) Treatment with Lower Limb Angioplasty for Peripheral Arterial Occlusive disease. Available online: https://clinicaltrials.gov/ct2/show/NCT00053716 (accessed on 2 October 2017).
  44. De Jonge, M.J.; Slingerland, M.; Loos, W.J.; Wiemer, E.A.; Burger, H.; Mathijssen, R.H.; Kroep, J.R.; den Hollander, M.A.; van der Biessen, D.; Lam, M.H.; et al. Early cessation of the clinical development of liplacis, a liposomal cisplatin formulation. Eur. J. Cancer 2010, 46, 3016–3021. [Google Scholar] [CrossRef] [PubMed]
  45. Wetzler, M.; Thomas, D.A.; Wang, E.S.; Shepard, R.; Ford, L.A.; Heffner, T.L.; Parekh, S.; Andreeff, M.; O’Brien, S.; Kantarjian, H.M. Phase I/II trial of nanomolecular liposomal annamycin in adult patients with relapsed/refractory acute lymphoblastic leukemia. Clin. Lymphoma Myeloma Leuk. 2013, 13, 430–434. [Google Scholar] [CrossRef] [PubMed]
  46. Kroemer, G.; Zitvogel, L.; Galluzzi, L. Victories and deceptions in tumor immunology: Stimuvax®. Oncoimmunology 2013, 2, e23687. [Google Scholar] [CrossRef] [PubMed]
  47. Wu, H.; Ramanathan, R.K.; Zamboni, B.A.; Strychor, S.; Ramalingam, S.; Edwards, R.P.; Friedland, D.M.; Stoller, R.G.; Belani, C.P.; Maruca, L.J.; et al. Population pharmacokinetics of pegylated liposomal CKD-602 (S-CKD602) in patients with advanced malignancies. J. Clin. Pharmacol. 2012, 52, 180–194. [Google Scholar] [CrossRef] [PubMed]
  48. Wolf, P.; Müllegger, R.R.; Peter Soyer, H.; Hofer, A.; Smolle, J.; Horn, M.; Cerroni, L.; Hofmann-Wellenhof, R.; Kerl, H.; Maier, H.; et al. Topical treatment with liposomes containing T4 endonuclease V protects human skin in vivo from ultraviolet-induced upregulation of interleukin-10 and tumor necrosis factor-α. J. Investig. Dermatol. 2000, 114, 149–156. [Google Scholar] [CrossRef] [PubMed]
  49. Rose, P.G.; Smrekar, M.; Haba, P.; Fusco, N.; Rodriguez, M. A phase I study of oral topotecan and pegylated liposomal doxorubicin (Doxil) in platinum-resistant ovarian and peritoneal cancer. Am. J. Clin. Oncol. 2008, 31, 476–480. [Google Scholar] [CrossRef] [PubMed]
  50. Harrington, K.J.; Lewanski, C.R.; Northcote, A.D.; Whittaker, J.; Wellbank, H.; Vile, R.G.; Peters, A.M.; Stewart, J.S. Phase I-II study of pegylated liposomal cisplatin (SPI-077) in patients with inoperable head and neck cancer. Ann. Oncol. 2001, 12, 493–496. [Google Scholar] [CrossRef] [PubMed]
  51. Phase 3 Study of Thermodox with Radiofrequency Ablation (RFA) in Treatment of Hepatocellular Carcinoma (HCC). Available online: https://clinicaltrials.gov/ct2/show/NCT00617981 (accessed on 2 October 2017).
  52. Wang, R.; Billone, P.S.; Mullett, W.M. Nanomedicine in action: An overview of cancer nanomedicine on the market and in clinical trials. J. Nanomater. 2013, 2013, 12. [Google Scholar] [CrossRef]
  53. Strieth, S.; Dunau, C.; Kolbow, K.; Knuechel, R.; Michaelis, U.; Ledderose, H.; Eichhorn, M.E.; Strelczyk, D.; Tschiesner, U.; Wollenberg, B.; et al. Phase I clinical study of vascular targeting fluorescent cationic liposomes in head and neck cancer. Eur. Arch. Otorhinolaryngol. 2013, 270, 1481–1487. [Google Scholar] [CrossRef] [PubMed]
  54. Mukherjee, S.; Date, A.; Patravale, V.; Korting, H.C.; Roeder, A.; Weindl, G. Retinoids in the treatment of skin aging: An overview of clinical efficacy and safety. Clin. Interv. Aging 2006, 1, 327–348. [Google Scholar] [CrossRef] [PubMed]
  55. Kanasty, R.; Dorkin, J.R.; Vegas, A.; Anderson, D. Delivery materials for sirna therapeutics. Nat. Mater. 2013, 12, 967–977. [Google Scholar] [CrossRef] [PubMed]
  56. Chan, S.; Davidson, N.; Juozaityte, E.; Erdkamp, F.; Pluzanska, A.; Azarnia, N.; Lee, L.W. Phase III trial of liposomal doxorubicin and cyclophosphamide compared with epirubicin and cyclophosphamide as first-line therapy for metastatic breast cancer. Ann. Oncol. 2004, 15, 1527–1534. [Google Scholar] [CrossRef] [PubMed]
  57. Ma, M.K.; Zamboni, W.C.; Radomski, K.M.; Furman, W.L.; Santana, V.M.; Houghton, P.J.; Hanna, S.K.; Smith, A.K.; Stewart, C.F. Pharmacokinetics of irinotecan and its metabolites SN-38 and APC in children with recurrent solid tumors after protracted low-dose irinotecan. Clin. Cancer Res. 2000, 6, 813–819. [Google Scholar] [PubMed]
  58. Eichhorn, M.E.; Ischenko, I.; Luedemann, S.; Strieth, S.; Papyan, A.; Werner, A.; Bohnenkamp, H.; Guenzi, E.; Preissler, G.; Michaelis, U.; et al. Vascular targeting by endotag-1 enhances therapeutic efficacy of conventional chemotherapy in lung and pancreatic cancer. Int. J. Cancer 2010, 126, 1235–1245. [Google Scholar] [CrossRef] [PubMed]
  59. Zhigaltsev, I.V.; Maurer, N.; Akhong, Q.F.; Leone, R.; Leng, E.; Wang, J.; Semple, S.C.; Cullis, P.R. Liposome-encapsulated vincristine, vinblastine and vinorelbine: A comparative study of drug loading and retention. J. Control. Release 2005, 104, 103–111. [Google Scholar] [CrossRef] [PubMed]
  60. Absalon, M.; O’Brien, M.M.; Phillips, C.L.; Burns, K.C.; Mangino, J.; Mizukawa, B.; Breese, E.H.; Shah, R.; Perentesis, J.P. A Phase I/pilot study of CPX-351 for children, adolescents and young adults with recurrent or refractory hematologic malignancies. J. Clin. Oncol. 2016, 34, 10541. [Google Scholar]
  61. Ashizawa, A.T.; Cortes, J. Liposomal delivery of nucleic acid-based anticancer therapeutics: BP-100-1.01. Expert Opin. Drug Deliv. 2015, 12, 1107–1120. [Google Scholar] [CrossRef] [PubMed]
  62. Tari, A.M.; Gutierrez-Puente, Y.; Monaco, G.; Stephens, C.; Sun, T.; Rosenblum, M.; Belmont, J.; Arlinghaus, R.; Lopez-Berestein, G. Liposome-incorporated Grb2 antisense oligodeoxynucleotide increases the survival of mice bearing bcr-abl-positive leukemia xenografts. Int. J. Oncol. 2007, 31, 1243–1250. [Google Scholar] [PubMed]
  63. Wicki, A.; Witzigmann, D.; Balasubramanian, V.; Huwyler, J. Nanomedicine in cancer therapy: Challenges, opportunities, and clinical applications. J. Control. Release 2015, 200, 138–157. [Google Scholar] [CrossRef] [PubMed]
  64. Ahmad, A.; Wang, Y.F.; Ahmad, I. Separation of liposome-entrapped mitoxantrone from nonliposomal mitoxantrone in plasma: Pharmacokinetics in mice. Methods Enzymol. 2005, 391, 176–185. [Google Scholar] [PubMed]
  65. Farrell, N.P. Platinum formulations as anticancer drugs clinical and pre-clinical studies. Curr. Top. Med. Chem. 2011, 11, 2623–2631. [Google Scholar] [CrossRef]
  66. Jakupec, M.A.; Galanski, M.; Keppler, B.K. Tumour-inhibiting platinum complexes—State of the art and future perspectives. Rev. Physiol. Biochem. Pharmacol. 2003, 146, 1–54. [Google Scholar] [PubMed]
  67. Chang, H.I.; Yeh, M.K. Clinical development of liposome-based drugs: Formulation, characterization, and therapeutic efficacy. Int. J. Nanomed. 2012, 7, 49–60. [Google Scholar]
  68. Tomkinson, B.; Bendele, R.; Giles, F.J.; Brown, E.; Gray, A.; Hart, K.; LeRay, J.D.; Meyer, D.; Pelanne, M.; Emerson, D.L. OSI-211, a novel liposomal topoisomerase I inhibitor, is active in scid mouse models of human aml and all. Leuk. Res. 2003, 27, 1039–1050. [Google Scholar] [CrossRef]
  69. Seetharamu, N.; Kim, E.; Hochster, H.; Martin, F.; Muggia, F. Phase II study of liposomal cisplatin (SPI-77) in platinum-sensitive recurrences of ovarian cancer. Anticancer Res. 2010, 30, 541–545. [Google Scholar] [PubMed]
  70. Meerum Terwogt, J.M.; Groenewegen, G.; Pluim, D.; Maliepaard, M.; Tibben, M.M.; Huisman, A.; ten Bokkel Huinink, W.W.; Schot, M.; Welbank, H.; Voest, E.E.; et al. Phase i and pharmacokinetic study of spi-77, a liposomal encapsulated dosage form of cisplatin. Cancer Chemother. Pharmacol. 2002, 49, 201–210. [Google Scholar] [CrossRef] [PubMed]
  71. Kim, E.S.; Lu, C.; Khuri, F.R.; Tonda, M.; Glisson, B.S.; Liu, D.; Jung, M.; Hong, W.K.; Herbst, R.S. A phase II study of stealth cisplatin (SPI-77) in patients with advanced non-small cell lung cancer. Lung Cancer 2001, 34, 427–432. [Google Scholar] [CrossRef]
  72. Colvin, O.M. An overview of cyclophosphamide development and clinical applications. Curr. Pharm. Des. 1999, 5, 555–560. [Google Scholar] [PubMed]
  73. Thomson, A.B.; Critchley, H.O.; Kelnar, C.J.; Wallace, W.H. Late reproductive sequelae following treatment of childhood cancer and options for fertility preservation. Best Pract. Res. Clin. Endocrinol. Metab. 2002, 16, 311–334. [Google Scholar] [CrossRef] [PubMed]
  74. Tripathi, D.N.; Jena, G.B. Astaxanthin inhibits cytotoxic and genotoxic effects of cyclophosphamide in mice germ cells. Toxicology 2008, 248, 96–103. [Google Scholar] [CrossRef] [PubMed]
  75. Papagiannaros, A.; Hatziantoniou, S.; Lelong-Rebel, I.H.; Papaioannou, G.T.; Dimas, K.; Demetzos, C. Antitumor activity of doxorubicin encapsulated in hexadecylphosphocholine (HePC) liposomes against human xenografts on scid mice. In Vivo 2006, 20, 129–135. [Google Scholar] [PubMed]
  76. Arif, K.; Ejaj, A.; Maroof, A.; Azmat, A.K.; Arun, C.; Fatima, N.; Gatoo, M.A.; Owais, M. Protective effect of liposomal formulation of tuftsin (a naturally occurring tetrapeptide) against cyclophosphamide-induced genotoxicity and oxidative stress in mice. Indian J. Biochem. Biophys. 2009, 46, 45–52. [Google Scholar] [PubMed]
  77. Abdella, E.M. Short-term comparative study of the cyclophosphamide genotoxicity administered free and liposome-encapsulated in mice. Iran. J. Cancer Prev. 2012, 5, 51–60. [Google Scholar] [PubMed]
  78. Wurz, G.T.; Kao, C.J.; Wolf, M.; DeGregorio, M.W. Tecemotide: An antigen-specific cancer immunotherapy. Hum. Vaccines Immunother. 2014, 10, 3383–3393. [Google Scholar] [CrossRef] [PubMed]
  79. Bradbury, P.A.; Shepherd, F.A. Immunotherapy for lung cancer. J. Thorac. Oncol. 2008, 3, S164–S170. [Google Scholar] [CrossRef] [PubMed]
  80. Stathopoulos, G.P.; Boulikas, T.; Vougiouka, M.; Deliconstantinos, G.; Rigatos, S.; Darli, E.; Viliotou, V.; Stathopoulos, J.G. Pharmacokinetics and adverse reactions of a new liposomal cisplatin (Lipoplatin): Phase I study. Oncol. Rep. 2005, 13, 589–595. [Google Scholar] [CrossRef] [PubMed]
  81. Boulikas, T.; Stathopoulos, G.P.; Volakakis, N.; Vougiouka, M. Systemic lipoplatin infusion results in preferential tumor uptake in human studies. Anticancer Res. 2005, 25, 3031–3039. [Google Scholar] [PubMed]
  82. Van der Geest, T.; Laverman, P.; Metselaar, J.M.; Storm, G.; Boerman, O.C. Radionuclide imaging of liposomal drug delivery. Expert Opin. Drug Deliv. 2016, 13, 1231–1242. [Google Scholar] [CrossRef] [PubMed]
  83. Xing, Y.; Zhao, J.; Conti, P.S.; Chen, K. Radiolabeled nanoparticles for multimodality tumor imaging. Theranostics 2014, 4, 290–306. [Google Scholar] [CrossRef] [PubMed]
  84. Seo, J.W.; Mahakian, L.M.; Tam, S.; Qin, S.; Ingham, E.S.; Meares, C.F.; Ferrara, K.W. The pharmacokinetics of Zr-89 labeled liposomes over extended periods in a murine tumor model. Nucl. Med. Biol. 2015, 42, 155–163. [Google Scholar] [CrossRef] [PubMed]
  85. Mitra, A.; Nan, A.; Line, B.R.; Ghandehari, H. Nanocarriers for nuclear imaging and radiotherapy of cancer. Curr. Pharm. Des. 2006, 12, 4729–4749. [Google Scholar] [CrossRef] [PubMed]
  86. Lee, H.; Zheng, J.; Gaddy, D.; Orcutt, K.D.; Leonard, S.; Geretti, E.; Hesterman, J.; Harwell, C.; Hoppin, J.; Jaffray, D.A.; et al. A gradient-loadable (64)Cu-chelator for quantifying tumor deposition kinetics of nanoliposomal therapeutics by positron emission tomography. Nanomedicine 2015, 11, 155–165. [Google Scholar] [CrossRef] [PubMed]
  87. Oku, N.; Yamashita, M.; Katayama, Y.; Urakami, T.; Hatanaka, K.; Shimizu, K.; Asai, T.; Tsukada, H.; Akai, S.; Kanazawa, H. Pet imaging of brain cancer with positron emitter-labeled liposomes. Int. J. Pharm. 2011, 403, 170–177. [Google Scholar] [CrossRef] [PubMed]
  88. Petersen, A.L.; Binderup, T.; Rasmussen, P.; Henriksen, J.R.; Elema, D.R.; Kjaer, A.; Andresen, T.L. 64Cu loaded liposomes as positron emission tomography imaging agents. Biomaterials 2011, 32, 2334–2341. [Google Scholar] [CrossRef] [PubMed]
  89. Zalutsky, M.R.; Noska, M.A.; Seltzer, S.E. Characterization of liposomes containing iodine-125-labeled radiographic contrast agents. Investig. Radiol. 1987, 22, 141–147. [Google Scholar] [CrossRef]
  90. Li, N.; Yu, Z.; Pham, T.T.; Blower, P.J.; Yan, R. A generic 89zr labeling method to quantify the in vivo pharmacokinetics of liposomal nanoparticles with positron emission tomography. Int. J. Nanomed. 2017, 12, 3281–3294. [Google Scholar] [CrossRef] [PubMed]
  91. Silindir, M.; Ozer, A.Y.; Erdogan, S. The use and importance of liposomes in positron emission tomography. Drug Deliv. 2012, 19, 68–80. [Google Scholar] [CrossRef] [PubMed]
  92. Wong, A.W.; Ormsby, E.; Zhang, H.; Seo, J.W.; Mahakian, L.M.; Caskey, C.F.; Ferrara, K.W. A comparison of image contrast with (64)Cu-labeled long circulating liposomes and (18)F-FDG in a murine model of mammary carcinoma. Am. J. Nucl. Med. Mol. Imaging 2013, 3, 32–43. [Google Scholar] [PubMed]
  93. Seo, J.W.; Qin, S.; Mahakian, L.M.; Watson, K.D.; Kheirolomoom, A.; Ferrara, K.W. Positron emission tomography imaging of the stability of Cu-64 labeled dipalmitoyl and distearoyl lipids in liposomes. J. Control. Release 2011, 151, 28–34. [Google Scholar] [CrossRef] [PubMed]
  94. Perez-Medina, C.; Abdel-Atti, D.; Zhang, Y.; Longo, V.A.; Irwin, C.P.; Binderup, T.; Ruiz-Cabello, J.; Fayad, Z.A.; Lewis, J.S.; Mulder, W.J.; et al. A modular labeling strategy for in vivo pet and near-infrared fluorescence imaging of nanoparticle tumor targeting. J. Nucl. Med. 2014, 55, 1706–1711. [Google Scholar] [CrossRef] [PubMed]
  95. Marik, J.; Tartis, M.S.; Zhang, H.; Fung, J.Y.; Kheirolomoom, A.; Sutcliffe, J.L.; Ferrara, K.W. Long-circulating liposomes radiolabeled with [18F]fluorodipalmitin ([18F]FDP). Nucl. Med. Biol. 2007, 34, 165–171. [Google Scholar] [CrossRef] [PubMed]
  96. Hansen, A.E.; Petersen, A.L.; Henriksen, J.R.; Boerresen, B.; Rasmussen, P.; Elema, D.R.; af Rosenschold, P.M.; Kristensen, A.T.; Kjaer, A.; Andresen, T.L. Positron emission tomography based elucidation of the enhanced permeability and retention effect in dogs with cancer using copper-64 liposomes. ACS Nano 2015, 9, 6985–6995. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Luo, D.; Goel, S.; Liu, H.J.; Carter, K.A.; Jiang, D.; Geng, J.; Kutyreff, C.J.; Engle, J.W.; Huang, W.C.; Shao, S.; et al. Intrabilayer (64)Cu labeling of photoactivatable, doxorubicin-loaded stealth liposomes. ACS Nano 2017, 11, 12482–12491. [Google Scholar] [CrossRef] [PubMed]
  98. Jensen, A.I.; Severin, G.W.; Hansen, A.E.; Fliedner, F.P.; Eliasen, R.; Parhamifar, L.; Kjaer, A.; Andresen, T.L.; Henriksen, J.R. Remote-loading of liposomes with manganese-52 and in vivo evaluation of the stabilities of 52MN-DOTA and 64Cu-DOTA using radiolabelled liposomes and pet imaging. J. Control. Release 2017, 269, 100–109. [Google Scholar] [CrossRef] [PubMed]
  99. Espinola, L.G.; Beaucaire, J.; Gottschalk, A.; Caride, V.J. Radiolabeled liposomes as metabolic and scanning tracers in mice. II. In-111 oxine compared with Tc-99m DTPA, entrapped in multilamellar lipid vesicles. J. Nucl. Med. 1979, 20, 434–440. [Google Scholar] [PubMed]
  100. Ogihara, I.; Kojima, S.; Jay, M. Differential uptake of gallium-67-labeled liposomes between tumors and inflammatory lesions in rats. J. Nucl. Med. 1986, 27, 1300–1307. [Google Scholar] [PubMed]
  101. Ogihara-Umeda, I.; Kojima, S. Increased delivery of gallium-67 to tumors using serum-stable liposomes. J. Nucl. Med. 1988, 29, 516–523. [Google Scholar] [PubMed]
  102. Ogihara-Umeda, I.; Kojima, S. Cholesterol enhances the delivery of liposome-encapsulated gallium-67 to tumors. Eur. J. Nucl. Med. 1989, 15, 612–617. [Google Scholar] [CrossRef] [PubMed]
  103. Ogihara-Umeda, I.; Sasaki, T.; Kojima, S.; Nishigori, H. Optimal radiolabeled liposomes for tumor imaging. J. Nucl. Med. 1996, 37, 326–332. [Google Scholar] [PubMed]
  104. Proffitt, R.T.; Williams, L.E.; Presant, C.A.; Tin, G.W.; Uliana, J.A.; Gamble, R.C.; Baldeschwieler, J.D. Tumor-imaging potential of liposomes loaded with In-111-NTA: Biodistribution in mice. J. Nucl. Med. 1983, 24, 45–51. [Google Scholar] [PubMed]
  105. Turner, A.F.; Presant, C.A.; Proffitt, R.T.; Williams, L.E.; Winsor, D.W.; Werner, J.L. In-111-labeled liposomes: Dosimetry and tumor depiction. Radiology 1988, 166, 761–765. [Google Scholar] [CrossRef] [PubMed]
  106. Kubo, A.; Nakamura, K.; Sammiya, T.; Katayama, M.; Hashimoto, T.; Hashimoto, S.; Kobayashi, H.; Teramoto, T. Indium-111-labelled liposomes: Dosimetry and tumour detection in patients with cancer. Eur. J. Nucl. Med. 1993, 20, 107–113. [Google Scholar] [CrossRef] [PubMed]
  107. Oyen, W.J.; Boerman, O.C.; Storm, G.; van Bloois, L.; Koenders, E.B.; Claessens, R.A.; Perenboom, R.M.; Crommelin, D.J.; van der Meer, J.W.; Corstens, F.H. Detecting infection and inflammation with technetium-99m-labeled stealth liposomes. J. Nucl. Med. 1996, 37, 1392–1397. [Google Scholar] [PubMed]
  108. Boerman, O.C.; Storm, G.; Oyen, W.J.; van Bloois, L.; van der Meer, J.W.; Claessens, R.A.; Crommelin, D.J.; Corstens, F.H. Sterically stabilized liposomes labeled with indium-111 to image focal infection. J. Nucl. Med. 1995, 36, 1639–1644. [Google Scholar] [PubMed]
  109. Harrington, K.J.; Mohammadtaghi, S.; Uster, P.S.; Glass, D.; Peters, A.M.; Vile, R.G.; Stewart, J.S. Effective targeting of solid tumors in patients with locally advanced cancers by radiolabeled pegylated liposomes. Clin. Cancer Res. 2001, 7, 243–254. [Google Scholar] [PubMed]
  110. Basu, S.; Zhuang, H.; Torigian, D.A.; Rosenbaum, J.; Chen, W.; Alavi, A. Functional imaging of inflammatory diseases using nuclear medicine techniques. Semin. Nucl. Med. 2009, 39, 124–145. [Google Scholar] [CrossRef] [PubMed]
  111. Huang, F.Y.; Lee, T.W.; Kao, C.H.; Chang, C.H.; Zhang, X.; Lee, W.Y.; Chen, W.J.; Wang, S.C.; Lo, J.M. Imaging, autoradiography, and biodistribution of (188)Re-labeled pegylated nanoliposome in orthotopic glioma bearing rat model. Cancer Biother. Radiopharm. 2011, 26, 717–725. [Google Scholar] [CrossRef] [PubMed]
  112. De Vries, A.; Kok, M.B.; Sanders, H.M.; Nicolay, K.; Strijkers, G.J.; Grull, H. Multimodal liposomes for spect/mr imaging as a tool for in situ relaxivity measurements. Contrast Media Mol. Imaging 2012, 7, 68–75. [Google Scholar] [CrossRef] [PubMed]
  113. Ogawa, M.; Umeda, I.O.; Kosugi, M.; Kawai, A.; Hamaya, Y.; Takashima, M.; Yin, H.; Kudoh, T.; Seno, M.; Magata, Y. Development of 111in-labeled liposomes for vulnerable atherosclerotic plaque imaging. J. Nucl. Med. 2014, 55, 115–120. [Google Scholar] [CrossRef] [PubMed]
  114. Ito, K.; Hamamichi, S.; Asano, M.; Hori, Y.; Matsui, J.; Iwata, M.; Funahashi, Y.; Umeda, I.O.; Fujii, H. Radiolabeled liposome imaging determines an indication for liposomal anticancer agent in ovarian cancer mouse xenograft models. Cancer Sci. 2016, 107, 60–67. [Google Scholar] [CrossRef] [PubMed]
  115. Varga, Z.; Szigyarto, I.C.; Gyurko, I.; Doczi, R.; Horvath, I.; Mathe, D.; Szigeti, K. Radiolabeling and quantitative in vivo SPECT/CT imaging study of liposomes using the novel iminothiolane-99mTc-tricarbonyl complex. Contrast Media Mol. Imaging 2017, 2017, 4693417. [Google Scholar] [CrossRef] [PubMed]
  116. Awasthi, V.D.; Goins, B.; Klipper, R.; Phillips, W.T. Dual radiolabeled liposomes: Biodistribution studies and localization of focal sites of infection in rats. Nucl. Med. Biol. 1998, 25, 155–160. [Google Scholar] [CrossRef]
  117. Mougin-Degraef, M.; Bourdeau, C.; Jestin, E.; Sai-Maurel, C.; Bourgeois, M.; Saec, P.R.; Thedrez, P.; Gestin, J.F.; Barbet, J.; Faivre-Chauvet, A. Doubly radiolabeled liposomes for pretargeted radioimmunotherapy. Int. J. Pharm. 2007, 344, 110–117. [Google Scholar] [CrossRef] [PubMed]
  118. Lamichhane, N.; Dewkar, G.K.; Sundaresan, G.; Mahon, R.N.; Zweit, J. [18F]-fluorinated carboplatin and [111In]-liposome for image-guided drug delivery. Int. J. Mol. Sci. 2017, 18, 1079. [Google Scholar] [CrossRef] [PubMed]
  119. Nakada, T. Clinical application of high and ultra high-field MRI. Brain Dev. 2007, 29, 325–335. [Google Scholar] [CrossRef] [PubMed]
  120. Langereis, S.; Geelen, T.; Grull, H.; Strijkers, G.J.; Nicolay, K. Paramagnetic liposomes for molecular MRI and MRI-guided drug delivery. NMR Biomed. 2013, 26, 728–744. [Google Scholar] [CrossRef] [PubMed]
  121. Ren, L.; Chen, S.; Li, H.; Zhang, Z.; Ye, C.; Liu, M.; Zhou, X. MRI-visible liposome nanovehicles for potential tumor-targeted delivery of multimodal therapies. Nanoscale 2015, 7, 12843–12850. [Google Scholar] [CrossRef] [PubMed]
  122. Martinez-Gonzalez, R.; Estelrich, J.; Busquets, M.A. Liposomes loaded with hydrophobic iron oxide nanoparticles: Suitable T2 contrast agents for MRI. Int. J. Mol. Sci. 2016, 17, 1209. [Google Scholar] [CrossRef] [PubMed]
  123. Navon, G.; Panigel, R.; Valensin, G. Liposomes containing paramagnetic macromolecules as mri contrast agents. Magn. Reson. Med. 1986, 3, 876–880. [Google Scholar] [CrossRef] [PubMed]
  124. Ding, N.; Lu, Y.; Lee, R.J.; Yang, C.; Huang, L.; Liu, J.; Xiang, G. Folate receptor-targeted fluorescent paramagnetic bimodal liposomes for tumor imaging. Int. J. Nanomed. 2011, 6, 2513–2520. [Google Scholar] [CrossRef] [PubMed]
  125. De Smet, M.; Langereis, S.; van den Bosch, S.; Bitter, K.; Hijnen, N.M.; Heijman, E.; Grull, H. SPECT/CT imaging of temperature-sensitive liposomes for MR-image guided drug delivery with high intensity focused ultrasound. J. Control. Release 2013, 169, 82–90. [Google Scholar] [CrossRef] [PubMed]
  126. Kim, H.R.; You, D.G.; Park, S.J.; Choi, K.S.; Um, W.; Kim, J.H.; Park, J.H.; Kim, Y.S. Mri monitoring of tumor-selective anticancer drug delivery with stable thermosensitive liposomes triggered by high-intensity focused ultrasound. Mol. Pharm. 2016, 13, 1528–1539. [Google Scholar] [CrossRef] [PubMed]
  127. Kneepkens, E.; Fernandes, A.; Nicolay, K.; Grull, H. Iron(III)-based magnetic resonance-imageable liposomal T1 contrast agent for monitoring temperature-induced image-guided drug delivery. Investig. Radiol. 2016, 51, 735–745. [Google Scholar] [CrossRef] [PubMed]
  128. Nordling-David, M.M.; Yaffe, R.; Guez, D.; Meirow, H.; Last, D.; Grad, E.; Salomon, S.; Sharabi, S.; Levi-Kalisman, Y.; Golomb, G.; et al. Liposomal temozolomide drug delivery using convection enhanced delivery. J. Control. Release 2017, 261, 138–146. [Google Scholar] [CrossRef] [PubMed]
  129. Shao, S.; Do, T.N.; Razi, A.; Chitgupi, U.; Geng, J.; Alsop, R.J.; Dzikovski, B.G.; Rheinstadter, M.C.; Ortega, J.; Karttunen, M.; et al. Design of hydrated porphyrin-phospholipid bilayers with enhanced magnetic resonance contrast. Small 2017, 13. [Google Scholar] [CrossRef] [PubMed]
Sample Availability: None.
Molecules 23 00288 g001 550
Figure 1. Schematics of a functionalized liposome.
Figure 1. Schematics of a functionalized liposome.
Molecules 23 00288 g001
Table
Table 1. Liposomes under different phases of clinical trials.
Table 1. Liposomes under different phases of clinical trials.
Phase IPhase IIPhase IIIReferences
Drug/NameAgent/TargetDrug/NameAgent/TargetDrug/NameAgent/Target
1BP1001Antisense protein/Grb-2AroplatinL-NDDP/PlatinumArikaceAmikacin/Ribosomal inhibitor[36,37,38]
2INX-0125Sphingomyelin/cholesterolLEP-ETUPaclitaxel/microtubuleLipoplatinCisplatin[39,40,41]
3INX-0076Topotecan SphingosomesOSI-211Lurtotecan/antineoplasticLiprostinPGE-I/Prostaglandin Receptor[32,42,43]
4LiPlaCisCisplatin/solid tumorsS-ANNAAnnamycin/TOPO IIStimuvaxTecemotide/Immunosuppressant[44,45,46]
5LEM-ETUMitoxantrone/TOPO II inhibitorS-CKD602TOPO I inhibitorTAN5T4 endonuclease V[26,47,48]
6SGT-53p-53SPI-077Cisplatin/ThermodoxDoxorubicin/antimitotic[49,50,51]
7LDF01Cationic liposomes/MicrovesselsTretnoinRetinoids/Skin diseaseMiR-122MicroRNA-122/HCV[52,53,54]
8Atu027siRNA/Solid tumorsIrinotecan SN-37Camptothecin/DNA damageCyclophosphamideNitrogen mustard/antineoplastic[55,56,57]
9NavelbineVinca alkaloid/ImmunosuppressantTaxolPaclitaxel/microtubuleCPX-351Cytarabine:daunorubicin/DNA polymerase inhibitor[58,59,60]

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Lamichhane, N.; Udayakumar, T.S.; D’Souza, W.D.; Simone II, C.B.; Raghavan, S.R.; Polf, J.; Mahmood, J. Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery. Molecules 2018, 23, 288. https://doi.org/10.3390/molecules23020288

AMA Style

Lamichhane N, Udayakumar TS, D’Souza WD, Simone II CB, Raghavan SR, Polf J, Mahmood J. Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery. Molecules. 2018; 23(2):288. https://doi.org/10.3390/molecules23020288

Chicago/Turabian Style

Lamichhane, Narottam, Thirupandiyur S. Udayakumar, Warren D. D’Souza, Charles B. Simone II, Srinivasa R. Raghavan, Jerimy Polf, and Javed Mahmood. 2018. "Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery" Molecules 23, no. 2: 288. https://doi.org/10.3390/molecules23020288

APA Style

Lamichhane, N., Udayakumar, T. S., D’Souza, W. D., Simone II, C. B., Raghavan, S. R., Polf, J., & Mahmood, J. (2018). Liposomes: Clinical Applications and Potential for Image-Guided Drug Delivery. Molecules, 23(2), 288. https://doi.org/10.3390/molecules23020288

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