Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 434

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Switching Apoptosis to Ferroptosis: Metal–Organic Network for High-Efficiency Anticancer Therapy

Zheng, Di-Wei, Lei, Qi, Zhu, Jing-Yi, Fan, Jin-Xuan, Li, Chu-Xin, Li, Cao, Xu, Zushun, Cheng, Si-Xue, Zhang, Xian-Zheng·2017·Nano Letters

Abstract

Discovering advanced materials for regulating cell death is of great importance in the development of anticancer therapy. Herein, by harnessing the recently discovered oxidative stress regulation ability of p53 and the Fenton reaction inducing capability of metal-organic network (MON), MON encapsulated with p53 plasmid (MON-p53) was designed to eradicate cancer cells via ferroptosis/apoptosis hybrid pathway. After confirming the detailed mechanism of MON-p53 in evoking ferroptosis, we further discovered that MON-p53 mediated a "bystander effect" to further sensitize cancer cells toward the MON-p53 induced ferroptosis. A 75-day anticancer experiment indicated that MON-p53 treatment not only suppressed the tumor growth but also prolonged the life-span of tumor bearing mice. Owing to its ability to promote intracellular oxidative stress, MON-p53 decreased the blood metastasis, lung metastasis, and liver metastasis. As a consequence, discovering methods to induce cell ferroptosis would provide a new insight in designing anticancer materials.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acs.nanolett.6b04060

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 7 references

Cited by

See all 434

Metadata

Authors
Zheng, D.-W., Lei, Q., Zhu, J.-Y., Fan, J.-X., Li, C.-X., Li, C., Xu, Z., Cheng, S.-X., & Zhang, X.-Z.
Venue
Nano Letters
Published
2016-12-29
Volume
17
Issue
1
Pages
284-291
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2566397909
Cited by
434
References
7
FWCI
12.46
Type
journal article
Language
en
Open access
closed

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: Switching Apoptosis to Ferroptosis: Metal–Organic Network for High-Efficiency Anticancer Therapy. https://app.cochat.ai/papers/10.1021/acs.nanolett.6b04060
The paper
Zheng, D.-W., Lei, Q., Zhu, J.-Y., Fan, J.-X., Li, C.-X., Li, C., Xu, Z., Cheng, S.-X., & Zhang, X.-Z. (2017). Switching Apoptosis to Ferroptosis: Metal–Organic Network for High-Efficiency Anticancer Therapy. Nano Letters. https://doi.org/10.1021/acs.nanolett.6b04060

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.