Literature DB >> 30097227

Pharmacokinetics variability: Why nanoparticles are not just magic-bullets in oncology.

Anne Rodallec1, Sebastien Benzekry2, Bruno Lacarelle1, Joseph Ciccolini1, Raphaelle Fanciullino3.   

Abstract

Developing nanoparticles to improve the specificity of anticancer agents towards tumor tissue and to better control drug delivery is a rising strategy in oncology. An increasing number of forms (e.g., conjugated nanoparticles, liposomes, immunoliposomes…) are now available on the shelves and numerous other scaffolds (e.g., dendrimeres, nanospheres, squalenes …) are currently at various stages of development. However, as of today most nanoparticles made available remain lipidic carriers. Pharmacokinetic variability is a major, yet largely underestimated issue with liposomal nanoparticles. A wide variety of causes (e.g., tumor type and disease staging, comorbidities, patient's immune system) can explain this variability, which can in return negatively impact pharmacodynamic endpoints such as poor efficacy or severe toxicities. This review aims to cover the main causes for erratic pharmacokinetics observed with most nanoparticles, especially liposomes used in oncology. Should the main causes of such variability be identified, specific studies in non-clinical or clinical development stages could be undertaken using dedicated models (i.e., mechanistic or semi-mechanistic mathematical models such as PBPK approaches) to better describe nanoparticles pharmacokinetics and decipher PK/PD relationships. In addition, identifying relevant biomarkers or parameters likely to impact nanoparticles pharmacokinetics would allow for either the modification of their characteristics to reduce the influence of the expected variability during development phases or the development of biomarker-based adaptive dosing strategies to maintain an optimal efficacy/toxicity balance. Broadly, we call for the development of comprehensive distribution studies and state-of-the-art modeling support to better understand and anticipate nanoparticle pharmacokinetics in oncology.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Liposomes; MPS; Modeling; Nanoparticles; Oncology; Pharmacokinetics; Variability

Mesh:

Substances:

Year:  2018        PMID: 30097227     DOI: 10.1016/j.critrevonc.2018.06.008

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  6 in total

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2.  From 3D spheroids to tumor bearing mice: efficacy and distribution studies of trastuzumab-docetaxel immunoliposome in breast cancer.

Authors:  Anne Rodallec; Guillaume Sicard; Sarah Giacometti; Manon Carré; Bertrand Pourroy; Fanny Bouquet; Ariel Savina; Bruno Lacarelle; Joseph Ciccolini; Raphaelle Fanciullino
Journal:  Int J Nanomedicine       Date:  2018-10-23

3.  Prototyping Trastuzumab Docetaxel Immunoliposomes with a New FCM-Based Method to Quantify Optimal Antibody Density on Nanoparticles.

Authors:  A Rodallec; C Franco; S Robert; G Sicard; S Giacometti; B Lacarelle; F Bouquet; A Savina; R Lacroix; F Dignat-George; J Ciccolini; P Poncelet; R Fanciullino
Journal:  Sci Rep       Date:  2020-03-05       Impact factor: 4.379

4.  Incorporation of doxorubicin in different polymer nanoparticles and their anticancer activity.

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Journal:  Int J Nanomedicine       Date:  2021-01-08

6.  Mathematical Modeling for an MTT Assay in Fluorine-Containing Graphene Quantum Dots.

Authors:  Paulo C Morais; Dieime C Silva
Journal:  Nanomaterials (Basel)       Date:  2022-01-27       Impact factor: 5.076

  6 in total

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