The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Programming cell pyroptosis with biomimetic nanoparticles for solid tumor immunotherapy
Abstract
Immunotherapy shows remarkable efficacy in treating several types of cancer such as melanoma, leukemia, and lung carcinoma, but its therapeutic effect for most solid tumors is still limited. Various cancer therapies, such as chemotherapy, radiotherapy and phototherapy, kill solid tumors through non-inflammatory apoptosis or ablation, rather than making solid tumors immunogenic. As a highly-inflammatory programmed cell death (PCD), pyroptosis provides a great opportunity to alleviate immunosuppression and promote a systemic immune response in treating solid tumors. Herein, by fusing breast cancer membrane onto the poly(lactic-co-glycolic acid) polymeric core, we design a biomimetic nanoparticle (BNP) loaded with indocyanine green (ICG) and decitabine (DCT) for photo-activated cancer cell pyroptosis and solid tumor immunotherapy. The tumor-homing BNP effectively accumulate in tumor with low immunogenicity. ICG in BNP puncture cancer cell membranes induces a sharp cytoplasm Ca2+ concentration increase by low-dose NIR photo-activation, which promotes cytochrome c release followed by caspase-3 activation. DCT up-regulates GSDME expression synergistically via inhibiting DNA methylation, which enhances caspase-3 cleavage to GSDME and causes cancer cell pyroptosis. Finally, photo-activated pyroptosis mediated by BNP induces an impressive systemic antitumor immunity for inhibition of both primary tumor and distant tumors. Overall, pyroptosis-associated BNP shows a novel strategy for solid tumor immunotherapy with high compatibility and wide clinical applicability.
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21551 · Cited by 20,160
Cancer immunotherapy using checkpoint blockade
Ribas, A., & Wolchok, J. D. (2018) · Science · doi:10.1126/science.aar4060 · Cited by 6,791
Neoantigens in cancer immunotherapy
Schumacher, T. N., & Schreiber, R. D. (2015) · Science · doi:10.1126/science.aaa4971 · Cited by 4,783
Chemotherapy drugs induce pyroptosis through caspase-3 cleavage of a gasdermin
Wang, Y., Gao, W., Shi, X., Ding, J., Liu, W., He, H., Wang, K., & Shao, F. (2017) · Nature · doi:10.1038/nature22393 · Cited by 3,199
Pyroptosis: Gasdermin-Mediated Programmed Necrotic Cell Death
Shi, J., Gao, W., & Shao, F. (2017) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2016.10.004 · Cited by 3,088
Human FOXP3+ Regulatory T Cell Heterogeneity and Function in Autoimmunity and Cancer
Wing, J. B., Tanaka, A., & Sakaguchi, S. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.020 · Cited by 726
Cited by
Tong, X., Tang, R., Xiao, M., Xu, J., Wang, W., Zhang, B., Liu, J., Yu, X., & Shi, S. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01392-3 · Cited by 883
Phototherapy in cancer treatment: strategies and challenges
Cai, Y., Chai, T., Nguyen, W., Liu, J., Xiao, E., Ran, X., Ran, Y., Du, D., Chen, W., & Chen, X. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02140-y · Cited by 453
Nanoparticles in tumor microenvironment remodeling and cancer immunotherapy
Lu, Q., Kou, D., Lou, S., Ashrafizadeh, M., Aref, A. R., Canadas, I., Tian, Y., Niu, X., Wang, Y., Torabian, P., et al. (2024) · Journal of Hematology & Oncology · doi:10.1186/s13045-024-01535-8 · Cited by 373
Tang, Y., Bisoyi, H. K., Chen, X., Liu, Z., Chen, X., Zhang, S., & Li, Q. (2023) · Advanced Materials · doi:10.1002/adma.202300232 · Cited by 214
Chen, Y., Luo, R., Li, J., Wang, S., Ding, J., Zhao, K., Lu, B., & Zhou, W. (2022) · ACS Nano · doi:10.1021/acsnano.1c08913 · Cited by 177
Metadata
- Authors
- Zhao, P., Wang, M., Chen, M., Chen, Z., Peng, X., Zhou, F., Song, J., & Qu, J.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 254
- Pages
- 120142
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W3030553520
- Cited by
- 263
- References
- 6
- FWCI
- 12.31
- 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: Programming cell pyroptosis with biomimetic nanoparticles for solid tumor immunotherapy. https://app.cochat.ai/papers/10.1016/j.biomaterials.2020.120142
- The paper
- Zhao, P., Wang, M., Chen, M., Chen, Z., Peng, X., Zhou, F., Song, J., & Qu, J. (2020). Programming cell pyroptosis with biomimetic nanoparticles for solid tumor immunotherapy. Biomaterials. https://doi.org/10.1016/j.biomaterials.2020.120142
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.