The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Engineering of self-assembled nanoparticle platform for precisely controlled combination drug therapy
Open accessAbstract
The genomic revolution has identified therapeutic targets for a plethora of diseases, creating a need to develop robust technologies for combination drug therapy. In the present work, we describe a self-assembled polymeric nanoparticle (NP) platform to target and control precisely the codelivery of drugs with varying physicochemical properties to cancer cells. As proof of concept, we codelivered cisplatin and docetaxel (Dtxl) to prostate cancer cells with synergistic cytotoxicity. A polylactide (PLA) derivative with pendant hydroxyl groups was prepared and conjugated to a platinum(IV) [Pt(IV)] prodrug,c,t,c-[Pt(NH 3)2(O 2 CCH 2 CH 2 COOH)(OH)Cl 2] [PLA-Pt(IV)]. A blend of PLA-Pt(IV) functionalized polymer and carboxyl-terminated poly(d,l-lactic-co-glycolic acid)-block-poly(ethylene glycol) copolymer in the presence or absence of Dtxl, was converted, in microfluidic channels, to NPs with a diameter of ∼100 nm. This process resulted in excellent encapsulation efficiency (EE) and high loading of both hydrophilic platinum prodrug and hydrophobic Dtxl with reproducible EEs and loadings. The surface of the NPs was derivatized with the A10 aptamer, which binds to the prostate-specific membrane antigen (PSMA) on prostate cancer cells. These NPs undergo controlled release of both drugs over a period of 48–72 h. Targeted NPs were internalized by the PSMA-expressing LNCaP cells via endocytosis, and formation of cisplatin 1,2-d(GpG) intrastrand cross-links on nuclear DNA was verified. In vitro toxicities demonstrated superiority of the targeted dual-drug combination NPs over NPs with single drug or nontargeted NPs. This work reveals the potential of a single, programmable nanoparticle to blend and deliver a combination of drugs for cancer treatment.
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
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Self-citationFormulation of functionalized PLGA-PEG Nanoparticles for in vivo targeted drug delivery
Cheng, J., Teply, B. A., Sherifi, I., Sung, J., Luther, G., Gu, F. X., Levy-Nissenbaum, E., Radovic-Moreno, A. F., Langer, R., & Farokhzad, O. C. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.09.047 · Cited by 1,273
Self-citationDobrovolskaia, M. A., Aggarwal, P., Hall, J. B., & McNeil, S. E. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800032f · Cited by 1,022
Cited by
PEGylation as a strategy for improving nanoparticle-based drug and gene delivery
Suk, J. S., Xu, Q., Kim, N., Hanes, J., & Ensign, L. M. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.09.012 · Cited by 4,523
Recent advances of cocktail chemotherapy by combination drug delivery systems
Hu, Q., Sun, W., Wang, C., & Gu, Z. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.10.022 · Cited by 625
Polymeric Nanostructures for Imaging and Therapy
Elsabahy, M., Heo, G. S., Lim, S.-M., Sun, G., & Wooley, K. L. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00135 · Cited by 508
ROS‐Responsive Polyprodrug Nanoparticles for Triggered Drug Delivery and Effective Cancer Therapy
Xu, X., Saw, P. E., Tao, W., Li, Y., Ji, X., Bhasin, S., Liu, Y., Ayyash, D., Rasmussen, J., Huo, M., et al. (2017) · Advanced Materials · doi:10.1002/adma.201700141 · Cited by 499
Self-citationMore Effective Nanomedicines through Particle Design
Wang, J., Byrne, J. D., Napier, M. E., & DeSimone, J. M. (2011) · Small · doi:10.1002/smll.201100442 · Cited by 466
Metadata
- Authors
- Kolishetti, N., Dhar, S., Valencia, P. M., Lin, L. Q., Karnik, R., Lippard, S. J., Langer, R., & Farokhzad, O. C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-10-04
- Volume
- 107
- Issue
- 42
- Pages
- 17939-17944
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2162994503
- Cited by
- 565
- References
- 3
- FWCI
- 15.63
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Engineering of self-assembled nanoparticle platform for precisely controlled combination drug therapy. https://app.cochat.ai/papers/10.1073/pnas.1011368107
- The paper
- Kolishetti, N., Dhar, S., Valencia, P. M., Lin, L. Q., Karnik, R., Lippard, S. J., Langer, R., & Farokhzad, O. C. (2010). Engineering of self-assembled nanoparticle platform for precisely controlled combination drug therapy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1011368107
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.