Analysis of nanoparticle delivery to tumours
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Wilhelm et al. used a non-standard metric for tumor delivery defined as percent injected dose in tumor equal to (AUCtumor/tend) times tumor mass.
“However, they used a non-standard metric for tumor delivery defined as percent injected dose (%ID) in tumor = (AUCtumor/tend)*tumor mass.”
From Polymeric micelles for the delivery of poorly soluble drugs: From nanoformulation to clinical approval. (2020) · cites this paper as [241]
The Figure 1 caption (Perspective) defines delivery efficiency in % ID as tumour AUC divided by the study end-point time and multiplied by average tumour mass, matching the stated formula. The paper does not characterize that metric as non-standard; the Delivery efficiency and consequences section describes the underlying AUC method as commonly used in pharmacokinetic studies. (LLM, conf=0.86)
Experimental — accuracy not yet measuredChan W.C.W and coworkers performed a study analyzing the nanomedicine delivery literature from 2005 to 2015 and exhibited that only 0.7% of NPs administered systemically reach tumors.
“Chan W.C.W and coworkers performed a study analyzing the nanomedicine delivery literature from the year 2005 to 2015 and exhibited that only 0.7% NPs that were administered systemically reach tumors [160].”
From Approaches to Improve EPR-Based Drug Delivery for Cancer Therapy and Diagnosis (2023) · cites this paper as [160]
The figure caption in the Perspective identifies a survey of studies published between 2005 and 2015. “Delivery efficiency and consequences” reports that a median of 0.7% of the injected dose reached solid tumours, based on 232 data sets, and describes the finding in mouse models. The claim omits the median and mouse-model qualifiers, making the percentage sound universal. (LLM, conf=0.85)
Experimental — accuracy not yet measuredRecent reports have revealed only a modest increase in tumor targeting when active targeting is applied.
“recent reports have revealed only a modest increase in tumor targeting when this approach is applied”
From Cloaking nanoparticles with protein corona shield for targeted drug delivery. (2018) · cites this paper as [8]
The addition of targeting ligands increases the clearance of nanoparticles by the MPS.
“the addition of targeting ligands increased the clearance of nanoparticles by MPS”
From Cloaking nanoparticles with protein corona shield for targeted drug delivery. (2018) · cites this paper as [8]
The Tumour targeting mechanism section says that active targeting adds ligands to nanoparticles, and Organs competing with tumours says the MPS clears circulating nanoparticles. Neither section links the addition of targeting ligands to increased MPS clearance. Searches for targeting ligands, macrophage uptake, and clearance found no passage making that comparison; the Macrophage uptake mechanisms section instead discusses size, charge, and PEG coatings. (LLM, conf=0.74)
Experimental — accuracy not yet measuredA cancer-nanomedicine repository spearheaded by the University of Toronto enables researchers to share their own experimental data, and has allowed for the determination of the delivery efficiency of specific nanomaterials into tumours.
“A cancer-nanomedicine repository (http://inbs.med.utoronto.ca/cgi-bin/Repository.cgi) spearheaded by the University of Toronto enables researchers to share their own experimental data, and has allowed for the determination of the delivery efficiency of specific nanomaterials into tumours46.”
From How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation (2018) · cites this paper as [46]
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- Authors
- Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W.
- Affiliations
- University of Toronto (CA)
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Chan, Warren C. W.
- Venue
- Nature Reviews Materials
- Published
- 2016-04-26
- Volume
- 1
- Issue
- 5
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W2344644350
- Semantic Scholar
- 24242bb923442a41c77ab81c413e0c3db3a41ba9
- Cited by
- 5,218
- References
- 125
- Citations by year
- 2026: 629 · 2025: 481 · 2024: 495 · 2023: 486 · 2022: 568 · 2021: 616 · 2020: 642 · 2019: 525 · 2018: 423 · 2017: 272 · 2016: 79
- FWCI
- 23.22
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Nature Reviews Materials (publishedVersion)
- TSpace (University of Toronto) (submittedVersion)
- Funders
- Prostate Cancer Canada
- Ministry of Education, Culture, Sports, Science and Technology (26820356)
- National Institutes of Health (CA92644)
- Japan Society for the Promotion of Science (26820356)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Keywords
- tumor targeting, nanomedicine, tumor stroma, enhanced permeability and retention effect, tumor models, cancer types, reticuloendothelial system, renal clearance, clinical translation of nanomedicine, tumor accumulation
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