The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Flexible Filaments for in Vivo Imaging and Delivery: Persistent Circulation of Filomicelles Opens the Dosage Window for Sustained Tumor Shrinkage
Open accessAbstract
Shape effects of synthetic carriers are largely unexplored in vivo, although recent findings suggest that flexible filaments can persist in the circulation even if microns in length. Here, to better assess biodistribution, a near-infrared fluorophore (NIRF) was incorporated into such block copolymer "filomicelles", and both in vivo and ex vivo imaging show that the majority of these wormlike micelles remain in the circulation for at least a day after intravenous injection. NIRF imaging further suggests that filomicelles convect into a tumor and some fragments can penetrate into the tumor stroma. To assess a functional effect, the hydrophobic drug paclitaxel (tax) was loaded into both filomicelles and sonication-generated spherical micelles of the same copolymer. Intravenous injection of tax-loaded filomicelles nearly doubles the maximum tolerated dose of tax in normal mice compared to tax-loaded spherical micelles. In tumor-bearing mice, the higher dose of tax produces greater and more sustained tumor shrinkage and tumor cell apoptosis. These results thus begin to address mechanisms for how nonspherical carriers deliver both imaging agents and anticancer therapeutics to solid tumors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A clearer vision for in vivo imaging
Weissleder, R. (2001) · Nature Biotechnology · doi:10.1038/86684 · Cited by 3,839
The effect of particle design on cellular internalization pathways
Gratton, S. E. A., Ropp, P. A., Pohlhaus, P. D., Luft, J. C., Madden, V. J., Napier, M. E., & DeSimone, J. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801763105 · Cited by 2,918
In vivo evaluation of polymeric micellar paclitaxel formulation: toxicity and efficacy
Kim, S. C., Kim, D. W., Shim, Y. H., Bang, J. S., Oh, H. S., Kim, S. W., & Seo, M. H. (2001) · Journal of Controlled Release · doi:10.1016/s0168-3659(01)00275-9 · Cited by 734
Cited by
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Ghezzi, M., Pescina, S., Padula, C., Santi, P., Del Favero, E., Cantù, L., & Nicoli, S. (2021) · Journal of Controlled Release · doi:10.1016/j.jconrel.2021.02.031 · Cited by 1,135
Duan, X., & Li, Y. (2013) · Small · doi:10.1002/smll.201201390 · Cited by 926
The role of micelle size in tumor accumulation, penetration, and treatment
Wang, J., Mao, W., Lock, L. L., Tang, J., Sui, M., Sun, W., Cui, H., Xu, D., & Shen, Y. (2015) · ACS Nano · doi:10.1021/acsnano.5b02017 · Cited by 635
The importance of nanoparticle shape in cancer drug delivery
Truong, N. P., Whittaker, M. R., Mak, C. W., & Davis, T. P. (2015) · Expert Opinion on Drug Delivery · doi:10.1517/17425247.2014.950564 · Cited by 594
Development of Polymeric Nanoparticles for Blood–Brain Barrier Transfer—Strategies and Challenges
Zhang, W., Mehta, A., Tong, Z., Esser, L., & Voelcker, N. H. (2021) · Advanced Science · doi:10.1002/advs.202003937 · Cited by 430
Engineered strategies to enhance tumor penetration of drug-loaded nanoparticles
Souri, M., Soltani, M., Moradi Kashkooli, F., & Kiani Shahvandi, M. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2021.11.024 · Cited by 178
Loverde, S. M., Klein, M. L., & Discher, D. E. (2012) · Advanced Materials · doi:10.1002/adma.201103192 · Cited by 162
Self-citationThe in vivo fate of polymeric micelles
Cai, Y., Qi, J., Lu, Y., He, H., & Wu, W. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114463 · Cited by 154
Drug-induced morphology switch in drug delivery systems based on poly(2-oxazoline)s
Schulz, A., Jaksch, S., Schubel, R., Wegener, E., Di, Z., Han, Y., Meister, A., Kressler, J., Kabanov, A. V., Luxenhofer, R., et al. (2014) · ACS Nano · doi:10.1021/nn406388t · Cited by 142
Metadata
- Authors
- Christian, D. A., Cai, S., Garbuzenko, O. B., Harada, T., Zajac, A. L., Minko, T., & Discher, D. E.
- Venue
- Molecular Pharmaceutics
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-03-25
- Volume
- 6
- Issue
- 5
- Pages
- 1343-1352
- ISSN
- 1543-8384 (ISSN-L)
- 1543-8392
- OpenAlex
- W1997236997
- Cited by
- 289
- References
- 3
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- green
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
