The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Polydopamine Nanoparticles as a Versatile Molecular Loading Platform to Enable Imaging-guided Cancer Combination Therapy
Open accessAbstract
Cancer combination therapy to treat tumors with different therapeutic approaches can efficiently improve treatment efficacy and reduce side effects. Herein, we develop a theranostic nano-platform based on polydopamine (PDA) nanoparticles, which then are exploited as a versatile carrier to allow simultaneous loading of indocyanine green (ICG), doxorubicin (DOX) and manganese ions (PDA-ICG-PEG/DOX(Mn)), to enable imaging-guided chemo & photothermal cancer therapy. In this system, ICG acts as a photothermal agent, which shows red-shifted near-infrared (NIR) absorbance and enhanced photostability compared with free ICG. DOX, a model chemotherapy drug, is then loaded onto the surface of PDA-ICG-PEG with high efficiency. With Mn(2+) ions intrinsically chelated, PDA-ICG-PEG/DOX(Mn) is able to offer contrast under T1-weighted magnetic resonance (MR) imaging. In a mouse tumor model, the MR imaging-guided combined chemo- & photothermal therapy achieves a remarkable synergistic therapeutic effect compared with the respective single treatment modality. This work demonstrates that PDA nanoparticles could serve as a versatile molecular loading platform for MR imaging guided combined chemo- & photothermal therapy with minimal side effects, showing great potential for cancer theranostics.
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
Liu, Y., Ai, K., & Lu, L. (2014) · Chemical Reviews · doi:10.1021/cr400407a · Cited by 4,794
Cited by
Gold Nanoparticles for Photothermal Cancer Therapy
Vines, J. B., Yoon, J.-H., Ryu, N.-E., Lim, D.-J., & Park, H. (2019) · Frontiers in Chemistry · doi:10.3389/fchem.2019.00167 · Cited by 906
Bao, X., Zhao, J., Sun, J., Hu, M., & Yang, X. (2018) · ACS Nano · doi:10.1021/acsnano.8b04022 · Cited by 722
Carbon-based nanomaterials as an emerging platform for theranostics
Patel, K. D., Singh, R. K., & Kim, H.-W. (2019) · Materials Horizons · doi:10.1039/c8mh00966j · Cited by 555
Dong, Z., Feng, L., Hao, Y., Chen, M., Gao, M., Chao, Y., Zhao, H., Zhu, W., Liu, J., Liang, C., et al. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.7b11036 · Cited by 490
Self-citationMetal‐Containing Polydopamine Nanomaterials: Catalysis, Energy, and Theranostics
Wang, Z., Zou, Y., Li, Y., & Cheng, Y. (2020) · Small · doi:10.1002/smll.201907042 · Cited by 459
Self-citation
Metadata
- Authors
- Dong, Z., Gong, H., Gao, M., Zhu, W., Sun, X., Feng, L., Fu, T., Li, Y., & Liu, Z.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2016
- Volume
- 6
- Issue
- 7
- Pages
- 1031-1042
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W2402643300
- Cited by
- 296
- References
- 1
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- gold
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: Polydopamine Nanoparticles as a Versatile Molecular Loading Platform to Enable Imaging-guided Cancer Combination Therapy. https://app.cochat.ai/papers/10.7150/thno.14431
- The paper
- Dong, Z., Gong, H., Gao, M., Zhu, W., Sun, X., Feng, L., Fu, T., Li, Y., & Liu, Z. (2016). Polydopamine Nanoparticles as a Versatile Molecular Loading Platform to Enable Imaging-guided Cancer Combination Therapy. Theranostics. https://doi.org/10.7150/thno.14431
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.