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The clinical prospects of cancer nanomedicines depend on effective patient stratification. Here we report the identification of predictive biomarkers of the accumulation of nanomedicines in tumour tissue. By using supervised machine learning on data of the accumulation of nanomedicines in tumour models in mice, we identified the densities of blood vessels and of tumour-associated macrophages as key predictive features. On the basis of these two features, we derived a biomarker score correlating with the concentration of liposomal doxorubicin in tumours and validated it in three syngeneic tumour models in immunocompetent mice and in four cell-line-derived and six patient-derived tumour xenografts in mice. The score effectively discriminated tumours according to the accumulation of nanomedicines (high versus low), with an area under the receiver operating characteristic curve of 0.91. Histopathological assessment of 30 tumour specimens from patients and of 28 corresponding primary tumour biopsies confirmed the score’s effectiveness in predicting the tumour accumulation of liposomal doxorubicin. Biomarkers of the tumour accumulation of nanomedicines may aid the stratification of patients in clinical trials of cancer nanomedicines.

A physiologically based pharmacokinetic model was developed to describe the tissue distribution kinetics of a dendritic nanoparticle and its conjugated active pharmaceutical ingredient (API) in plasma, liver, spleen, and tumors. Tumor growth data from MV-4-11 tumor-bearing mice were incorporated to investigate the exposure/efficacy relationship. The nanoparticle demonstrated improved antitumor activity compared to the conventional API formulation, owing to the extended released API concentrations at the site of action. Model simulations further enabled the identification of critical parameters that influence API exposure in tumors and downstream efficacy outcomes upon nanoparticle administration. The model was utilized to explore a range of dosing schedules and their effect on tumor growth kinetics, demonstrating the improved antitumor activity of nanoparticles with less frequent dosing compared to the same dose of naked APIs in conventional formulations.

Successfully translating anti-cancer nanomedicines from pre-clinical proof of concept to demonstration of therapeutic value in the clinic is challenging. Having made significant advances with drug delivery technologies, we must learn from other areas of oncology drug development, where patient stratification and target-driven design have improved patient outcomes. We should evolve our nanomedicine development strategies to build the patient and disease into the line of sight from the outset. The success of small molecule targeted therapies has been significantly improved by employing a specific decision-making framework, such as AstraZeneca's 5R principle: right target/efficacy, right tissue/exposure, right safety, right patient, and right commercial potential. With appropriate investment and collaboration to generate a platform of evidence supporting the end clinical application, a similar framework can be established for enhancing nanomedicine translation and performance. Building informative data packages to answer these questions requires the following: (I) an improved understanding of the heterogeneity of clinical cancers and of the biological factors influencing the behaviour of nanomedicines in patient tumours; (II) a transition from formulation-driven research to disease-driven development; (III) the implementation of more relevant animal models and testing protocols; and (IV) the pre-selection of the patients most likely to respond to nanomedicine therapies. These challenges must be overcome to improve (the cost-effectiveness of) nanomedicine development and translation, and they are key to establishing superior therapies for patients.

The chemistry and structure of Poly (glycerol adipate) facilitate its substitution with various pendant functional groups leading to modifications of the physicochemical properties of the polymer. Modified backbones then can be selected based upon the properties of the compound to be incorporated. Thus, this could be explored as a drug delivery system without many of the limitations of commercially available polymers. The aim of this study was investigate whether various polymers and drugs interact in a specific manner and whether the nature of these interactions influence the physicochemical characteristics of the particles and their drug loading and release profile. By investigating drugs belonging to various classes and with different properties it has been possible to correlate properties associated with drugs and pendant functional groups of the polymer which are ultimately responsible for the drug loading and release characteristics. For some drug polymer formulations, good loading and controlled release rates have been achieved. Compared to various conventional polymer systems reported for nanoparticle formulations, poly (glycerol adipate) polymers have also demonstrated the ability to control rate of release of highly water soluble drugs, even from the most hydrophilic polymer backbone in its unsubstituted form. From the various drug loading and release profiles it has been demonstrated that, unlike reported literature, particle size is not the primary factor influencing drug release over the relatively small range of particle sizes seen in this study. Neither is the water solubility of either the drug or the polymer alone responsible for the rapid and uncontrolled release profile from nanoparticles. Thus, Drug polymer interactions are more likely to influence drug loading and release and unlike common reports in the literature, hydrophilicity, molecular weight or concentration of polymer / drug are less likely to affect these parameters in isolation.

Synthetic polymers containing quaternary phosphonium salts are an emerging class of materials for the delivery of oligo/polynucleotides. In this work, cationic phosphonium salt-containing polymethacrylates –and their corresponding ammonium analogues– were synthesized by RAFT polymerization. Both the nature of the charged heteroatom (N vs. P) and the length of the spacer separating the cationic units along the polymer backbone (oxyethylene vs. trioxyethylene) were systematically varied. Polymers efficiently bound siRNA at N+/P- or P+/P- ratios of 2 and above. At a 20:1 ratio, small polyplexes (Rh: 4-15 nm) suitable for cellular uptake were formed that displayed low cytotoxicity. Whilst siRNA polyplexes from both ammonium and phosphonium polymers were efficiently internalised by GFP-expressing 3T3 cells, no knockdown of GFP expression was observed. However, 65% Survivin gene knockdown was observed when short interfering RNA (siRNA) was replaced with novel, multimerised long interfering liRNA (liRNA) in HeLa cells, demonstrating the importance of RNA macromolecular architecture on RNA-mediated gene silencing.

The chemistry and structure of Poly (glycerol adipate) facilitate its substitution with various pendant functional groups leading to modifications of the physicochemical properties of the polymer. Modified backbones then can be selected based upon the properties of the compound to be incorporated. Thus, this could be explored as a drug delivery system without many of the limitations of commercially available polymers. The aim of this study was investigate whether various polymers and drugs interact in a specific manner and whether the nature of these interactions influence the physicochemical characteristics of the particles and their drug loading and release profile. By investigating drugs belonging to various classes and with different properties it has been possible to correlate properties associated with drugs and pendant functional groups of the polymer which are ultimately responsible for the drug loading and release characteristics. For some drug polymer formulations, good loading and controlled release rates have been achieved. Compared to various conventional polymer systems reported for nanoparticle formulations, poly (glycerol adipate) polymers have also demonstrated the ability to control rate of release of highly water soluble drugs, even from the most hydrophilic polymer backbone in its unsubstituted form. From the various drug loading and release profiles it has been demonstrated that, unlike reported literature, particle size is not the primary factor influencing drug release over the relatively small range of particle sizes seen in this study. Neither is the water solubility of either the drug or the polymer alone responsible for the rapid and uncontrolled release profile from nanoparticles. Thus, Drug polymer interactions are more likely to influence drug loading and release and unlike common reports in the literature, hydrophilicity, molecular weight or concentration of polymer / drug are less likely to affect these parameters in isolation.

The chemistry and structure of Poly (glycerol adipate) facilitate its substitution with various pendant functional groups leading to modifications of the physicochemical properties of the polymer. Modified backbones then can be selected based upon the properties of the compound to be incorporated. Thus, this could be explored as a drug delivery system without many of the limitations of commercially available polymers. The aim of this study was investigate whether various polymers and drugs interact in a specific manner and whether the nature of these interactions influence the physicochemical characteristics of the particles and their drug loading and release profile. By investigating drugs belonging to various classes and with different properties it has been possible to correlate properties associated with drugs and pendant functional groups of the polymer which are ultimately responsible for the drug loading and release characteristics. For some drug polymer formulations, good loading and controlled release rates have been achieved. Compared to various conventional polymer systems reported for nanoparticle formulations, poly (glycerol adipate) polymers have also demonstrated the ability to control rate of release of highly water soluble drugs, even from the most hydrophilic polymer backbone in its unsubstituted form. From the various drug loading and release profiles it has been demonstrated that, unlike reported literature, particle size is not the primary factor influencing drug release over the relatively small range of particle sizes seen in this study. Neither is the water solubility of either the drug or the polymer alone responsible for the rapid and uncontrolled release profile from nanoparticles. Thus, Drug polymer interactions are more likely to influence drug loading and release and unlike common reports in the literature, hydrophilicity, molecular weight or concentration of polymer / drug are less likely to affect these parameters in isolation.

The chemistry and structure of Poly (glycerol adipate) facilitate its substitution with various pendant functional groups leading to modifications of the physicochemical properties of the polymer. Modified backbones then can be selected based upon the properties of the compound to be incorporated. Thus, this could be explored as a drug delivery system without many of the limitations of commercially available polymers. The aim of this study was investigate whether various polymers and drugs interact in a specific manner and whether the nature of these interactions influence the physicochemical characteristics of the particles and their drug loading and release profile. By investigating drugs belonging to various classes and with different properties it has been possible to correlate properties associated with drugs and pendant functional groups of the polymer which are ultimately responsible for the drug loading and release characteristics. For some drug polymer formulations, good loading and controlled release rates have been achieved. Compared to various conventional polymer systems reported for nanoparticle formulations, poly (glycerol adipate) polymers have also demonstrated the ability to control rate of release of highly water soluble drugs, even from the most hydrophilic polymer backbone in its unsubstituted form. From the various drug loading and release profiles it has been demonstrated that, unlike reported literature, particle size is not the primary factor influencing drug release over the relatively small range of particle sizes seen in this study. Neither is the water solubility of either the drug or the polymer alone responsible for the rapid and uncontrolled release profile from nanoparticles. Thus, Drug polymer interactions are more likely to influence drug loading and release and unlike common reports in the literature, hydrophilicity, molecular weight or concentration of polymer / drug are less likely to affect these parameters in isolation.

The chemistry and structure of Poly (glycerol adipate) facilitate its substitution with various pendant functional groups leading to modifications of the physicochemical properties of the polymer. Modified backbones then can be selected based upon the properties of the compound to be incorporated. Thus, this could be explored as a drug delivery system without many of the limitations of commercially available polymers. The aim of this study was investigate whether various polymers and drugs interact in a specific manner and whether the nature of these interactions influence the physicochemical characteristics of the particles and their drug loading and release profile. By investigating drugs belonging to various classes and with different properties it has been possible to correlate properties associated with drugs and pendant functional groups of the polymer which are ultimately responsible for the drug loading and release characteristics. For some drug polymer formulations, good loading and controlled release rates have been achieved. Compared to various conventional polymer systems reported for nanoparticle formulations, poly (glycerol adipate) polymers have also demonstrated the ability to control rate of release of highly water soluble drugs, even from the most hydrophilic polymer backbone in its unsubstituted form. From the various drug loading and release profiles it has been demonstrated that, unlike reported literature, particle size is not the primary factor influencing drug release over the relatively small range of particle sizes seen in this study. Neither is the water solubility of either the drug or the polymer alone responsible for the rapid and uncontrolled release profile from nanoparticles. Thus, Drug polymer interactions are more likely to influence drug loading and release and unlike common reports in the literature, hydrophilicity, molecular weight or concentration of polymer / drug are less likely to affect these parameters in isolation.