Improving nanotherapy delivery and action through image-guided systems pharmacology
Open accessAbstract
Despite recent advances in the translation of therapeutic nanoparticles (TNPs) into the clinic, the field continues to face challenges in predictably and selectively delivering nanomaterials for the treatment of solid cancers.The concept of enhanced permeability and retention (EPR) has been coined as a convenient but simplistic descriptor of high TNP accumulation in some tumors.However, in practice EPR represents a number of physiological variables rather than a single one (including dysfunctional vasculature, compromised lymphatics and recruited host cells, among other aspects of the tumor microenvironment) -each of which can be highly heterogenous within a given tumor, patient and across patients.Therefore, a clear need exists to dissect the specific biophysical factors underlying the EPR effect, to formulate better TNP designs, and to identify patients with high-EPR tumors who are likely to respond to TNP.The overall pharmacology of TNP is governed by an interconnected set of spatially defined and dynamic processes that benefit from a systems-level quantitative approach, and insights into the physiology have profited from the marriage between in vivo imaging and quantitative systems pharmacology (QSP) methodologies.In this article, we review recent developments pertinent to image-guided systems pharmacology of nanomedicines in oncology.We first discuss recent developments of quantitative imaging technologies that enable analysis of nanomaterial pharmacology at multiple spatiotemporal scales, and then examine reports that have adopted these imaging technologies to guide QSP approaches.In particular, we focus on studies that have integrated multi-scale imaging with computational modeling to derive insights about the EPR effect, as well as studies that have used modeling to guide the manipulation of the EPR effect and other aspects of the tumor microenvironment for improving TNP action.We anticipate that the synergistic combination of imaging with systems-level computational methods for effective clinical translation of TNPs will only grow in relevance as technologies increase in resolution, multiplexing capability, and in the ability to examine heterogeneous behaviors at the single-cell level.
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A synergistic combination of multiscale imaging with computational modeling may enhance knowledge of the EPR effect.
“Thus, a synergistic combination of multiscale imaging with computational modeling may enhance the knowledge of the EPR effect [18].”
From Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis (2023) · cites this paper as [18]
Determinants of the EPR effect and nanodrug performance happen across manifold spatial and temporal scales ranging from systemic biodistribution to delivery and consequences upon distinct cells.
“Determinants of the EPR effect and nanodrug performance happen across manifold spatial and temporal scales ranging from systemic biodistribution of nanodrugs to their delivery and consequences upon distinct cells (Figure 3) [18].”
From Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis (2023) · cites this paper as [18]
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Measurement of drug-target engagement in live cells by two-photon fluorescence anisotropy imaging
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Bioorthogonal Radiopaque Hydrogel for Endoscopic Delivery and Universal Tissue Marking
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Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA
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Flagged first, then by citations
Research works printed but not linked: 1
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“A harmonious integration of imaging with system-level computational approaches for the clinical development of nanodrugs has been growing as technologies are improving for increased resolution, multiplexing, and examining the heterogeneity at the single-cell level [18].”
BackgroundInfluentialNanoparticle delivery in vivo: A fresh look from intravital imaging
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- Authors
- Ng, T. S. C., Garlin, M. A., Weissleder, R., & Miller, M. A.
- Affiliations
- Brigham and Women's Hospital (US)
- Massachusetts General Hospital (US)
- Harvard University (US)
- Corresponding author
- Weissleder, Ralph
- Miller, Miles A.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2020
- Volume
- 10
- Issue
- 3
- Pages
- 968-997
- ISSN
- 1838-7640 (ISSN-L)
- PMC
- PMC6956809
- OpenAlex
- W2994483481
- Cited by
- 60
- References
- 202
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 4 · 2023: 9 · 2022: 8 · 2021: 13 · 2020: 13 · 2019: 1
- FWCI
- 0.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Theranostics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (UO1CA206997)
- National Cancer Institute (R00CA207744, U01CA206997, T32CA079443)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Physical Sciences › Engineering › Biomedical Engineering › Ultrasound and Hyperthermia Applications
- Keywords
- nanotherapeutics, nanomedicine, enhanced permeability and retention effect, tumor microenvironment, quantitative systems pharmacology, multiscale imaging, tumor vasculature, lymphatic dysfunction, tumor heterogeneity, solid tumors, cancer nanotherapy, computational modeling
- MeSH terms
- Theranostic Nanomedicine, Animals, Antineoplastic Agents, Humans, Neoplasms, Drug Delivery Systems, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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