Risk factors for pegylated liposomal doxorubicin-induced palmar-plantar erythrodysesthesia over time: assessment of monocyte count and baseline clinical parameters

Risk factors for pegylated liposomal doxorubicin-induced moderate to severe hand-foot syndrome in breast cancer patients: assessment of baseline clinical parameters

Background

Hand-foot syndrome (HFS) is a side effect of skin related to pegylated liposomal doxorubicin (PLD) application. Moderate to severe hand-foot syndrome (MSHFS) might have a serious impact on patients’ quality of life and treatment. However, information on risk factors for the development of MSHFS is still limited. To analyze the risk factors for PLD-induced MSHFS in breast cancer patients and constructed a logistic regression prediction model.

Methods

We conducted a retrospective analysis of breast cancer patients who were treated with a PLD regimen in the Tumor Hospital of Harbin Medical University from January 2017 to August 2019. A total of 26 factors were collected from electronic medical records. Patients were divided into MSHFS (HFS > grade 1) and NMHFS (HFS ≤ grade 1) groups according to the NCI classification. Statistical analysis of these factors and the construction of a logistic regression prediction model based on risk factors.

Results

A total of 44.7% (206/461) of patients developed MSHFS. The BMI, dose intensity, and baseline Alanine aminotransferase (ALT) and Aspartate aminotransferase (AST) levels in the MSHFS group, as well as good peripheral blood circulation, excessive sweat excretion, history of gallstones, and tumour- and HER2-positive percentages, were all higher than those in the NMHFS group (P < 0.05). The model for predicting the occurrence of MSHFS was P = 1/1 + exp. (11.138–0.110*BMI-0.234*dose intensity-0.018*baseline ALT+ 0.025*baseline AST-1.225*gallstone history-0.681* peripheral blood circulation-1.073*sweat excretion-0.364*with or without tumor-0.680*HER-2). The accuracy of the model was 72.5%, AUC = 0.791, and Hosmer-Lemeshow fit test P = 0.114 > 0.05.

Conclusions

Nearly half of the patients developed MSHFS. The constructed prediction model may be valuable for predicting the occurrence of MSHFS in patients.

Pegylated liposomal doxorubicin-related palmar-plantar erythrodysesthesia: a literature review of pharmaceutical and clinical aspects

OBJECTIVES

The rate of dermal toxicity has been shown to increase in patients receiving pegylated liposomal doxorubicin (PLD), particularly palmar-plantar erythrodysesthesia (PPE). However, it is difficult to diagnose and treat PLD-related PPE due to its delayed dermal performance, unclear pathogenetic mechanism, and the lack of specific preventive measures. The aim of this study was to provide potential management strategies for PPE associated with PLD.

METHODS

The current article reviews the available data regarding the pharmacological and clinical aspects of PLD, including the formulation and pharmacokinetics of PLD, dose and schedule contribution to PPE, concomitant drugs affecting skin toxicity of PLD, the pathogenesis of PPE, and preventive measures and treatment of PLD-related PPE.

RESULTS

The long circulation structure of polyethylene glycol liposomes may be one of the reasons for PPE. PLD has radically different pharmacokinetic characteristics, including prolonged blood circulation time, decreased body distribution volume, and slow clearance. Altering the schedules and doses of PLD or combining it with platinum compounds can optimise clinical efficacy and minimise the occurrence of PPE. Doses of 150-200 mg of pyridoxine daily have been widely used for the prevention and treatment of PPE. Regional cooling and plasma filtration have been used for PPE prophylaxis.

CONCLUSIONS

To date, the mechanism of PPE induced by PLD remains unclear, and no complete preventive medication has been established. Further research and prospective randomised studies are needed to understand the management options in PLD-related PPE.

Animal models for analysis of immunological responses to nanomaterials: Challenges and considerations

Nanotechnology provides many solutions to improve conventional drug delivery and has a unique niche in the areas related to the specific targeting of the immune system, such as immunotherapies and vaccines. Preclinical studies in this field rely heavily on the combination of in vitro and in vivo methods to assess the safety and efficacy of nanotechnology platforms, nanoparticle-formulated drugs, and vaccines. While certain types of toxicities can be evaluated in vitro and good in vitro-in vivo correlation has been demonstrated for such tests, animal studies are still needed to address complex biological questions and, therefore, provide a unique contribution to establishing nanoparticle safety and efficacy profiles. The genetic, metabolic, mechanistic, and phenotypic diversity of currently available animal models often complicates both the animal choice and the interpretation of the results. This review summarizes current knowledge about differences in the immune system function and immunological responses of animals commonly used in preclinical studies of nanomaterials. We discuss challenges, highlight current gaps, and propose recommendations for animal model selection to streamline preclinical analysis of nanotechnology formulations.

Challenges in preclinical to clinical translation for anticancer carrier-mediated agents

Major advances in carrier-mediated agents (CMAs), which include nanoparticles and conjugates, have revolutionized drug delivery capabilities over the past decade. While providing numerous advantages over their small-molecule counterparts, there is substantial variability in how individual CMA formulations and patient characteristics affect the pharmacology, pharmacokinetics (PK), and pharmacodynamics (PD) (efficacy and toxicity) of these agents. Development or selection of animal models is used to predict the effects within a particular human disease. A breadth of studies have begun to emphasize the importance of preclinical animal models in understanding and evaluating the interaction between CMAs and the immune system and tumor matrix, which ultimately influences CMA PK (clearance and distribution) and PD (efficacy and toxicity). It is fundamental to study representative preclinical tumor models that recapitulate patients with diseases (e.g., cancer) and evaluate the interplay between CMAs and the immune system, including the mononuclear phagocyte system (MPS), chemokines, hormones, and other immune modulators. Furthermore, standard allometric scaling using body weight does not accurately predict drug clearance in humans. Future studies are warranted to better understand the complex pharmacology and interaction of CMA carriers within individual preclinical models and their biological systems, such as the MPS and tumor microenvironment, and their application to allometric scaling across species. WIREs Nanomed Nanobiotechnol 2016, 8:642-653. doi: 10.1002/wnan.1394 For further resources related to this article, please visit the WIREs website.