The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Activatable Singlet Oxygen Generation from Lipid Hydroperoxide Nanoparticles for Cancer Therapy
Open accessAbstract
Reactive oxygen species (ROS)‐induced apoptosis is a widely practiced strategy for cancer therapy. Although photodynamic therapy (PDT) takes advantage of the spatial–temporal control of ROS generation, the meticulous participation of light, photosensitizer, and oxygen greatly hinders the broad application of PDT as a first‐line cancer treatment option. An activatable system has been developed that enables tumor‐specific singlet oxygen (1 O 2) generation for cancer therapy, based on a Fenton‐like reaction between linoleic acid hydroperoxide (LAHP) tethered on iron oxide nanoparticles (IO NPs) and the released iron(II) ions from IO NPs under acidic‐pH condition. The IO‐LAHP NPs are able to induce efficient apoptotic cancer cell death both in vitro and in vivo through tumor‐specific 1 O 2 generation and subsequent ROS mediated mechanism. This study demonstrates the effectiveness of modulating biochemical reactions as a ROS source to exert cancer death.
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
Reactive oxygen species: Metabolism, oxidative stress, and signal transduction
Apel, K., & Hirt, H. (2004) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.55.031903.141701 · Cited by 11,723
Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach?
Trachootham, D., Alexandre, J., & Huang, P. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2803 · Cited by 5,452
Photodynamic therapy of cancer: An update
Agostinis, P., Berg, K., Cengel, K. A., Foster, T. H., Girotti, A. W., Gollnick, S. O., Hahn, S. M., Hamblin, M. R., Juzeniene, A., Kessel, D., et al. (2011) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20114 · Cited by 5,145
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744
Trachootham, D., Zhou, Y., Zhang, H., Demizu, Y., Chen, Z., Pelicano, H., Chiao, P. J., Achanta, G., Arlinghaus, R. B., Liu, J., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.08.009 · Cited by 1,080
Cheng, Y., Cheng, H., Jiang, C., Qiu, X., Wang, K., Huan, W., Yuan, A., Wu, J., & Hu, Y. (2015) · Nature Communications · doi:10.1038/ncomms9785 · Cited by 941
Huang, C.-C., Chia, W.-T., Chung, M.-F., Lin, K.-J., Hsiao, C.-W., Jin, C., Lim, W.-H., Chen, C.-C., & Sung, H.-W. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b01784 · Cited by 372
Miyamoto, S., Martinez, G. R., Rettori, D., Augusto, O., Medeiros, M. H. G., & Di Mascio, P. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508170103 · Cited by 137
Cited by
Role of GPX4 in ferroptosis and its pharmacological implication
Seibt, T. M., Proneth, B., & Conrad, M. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.09.014 · Cited by 1,520
Platelet membrane-camouflaged magnetic nanoparticles for ferroptosis-enhanced cancer immunotherapy
Jiang, Q., Wang, K., Zhang, X., Ouyang, B., Liu, H., Pang, Z., & Yang, W. (2020) · Small · doi:10.1002/smll.202001704 · Cited by 426
Wang, C., Cao, F., Ruan, Y., Jia, X., Zhen, W., & Jiang, X. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201903981 · Cited by 411
Dai, Y., Yang, Z., Cheng, S., Wang, Z., Zhang, R., Zhu, G., Wang, Z., Yung, B. C., Tian, R., Jacobson, O., et al. (2018) · Advanced Materials · doi:10.1002/adma.201704877 · Cited by 409
Self-citationTumor microenvironment-responsive intelligent nanoplatforms for cancer theranostics
Gong, F., Yang, N., Wang, X., Zhao, Q., Chen, Q., Liu, Z., & Cheng, L. (2020) · Nano Today · doi:10.1016/j.nantod.2020.100851 · Cited by 359
Metadata
- Authors
- Zhou, Z., Song, J., Tian, R., Yang, Z., Yu, G., Lin, L., Zhang, G., Fan, W., Zhang, F., Niu, G., Nie, L., & Chen, X.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-05-04
- Volume
- 56
- Issue
- 23
- Pages
- 6492-6496
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2611800801
- Cited by
- 387
- References
- 8
- FWCI
- 20.83
- 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: Activatable Singlet Oxygen Generation from Lipid Hydroperoxide Nanoparticles for Cancer Therapy. https://app.cochat.ai/papers/10.1002/anie.201701181
- The paper
- Zhou, Z., Song, J., Tian, R., Yang, Z., Yu, G., Lin, L., Zhang, G., Fan, W., Zhang, F., Niu, G., Nie, L., & Chen, X. (2017). Activatable Singlet Oxygen Generation from Lipid Hydroperoxide Nanoparticles for Cancer Therapy. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201701181
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.