The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.
A Review on Nano-Based Drug Delivery System for Cancer Chemoimmunotherapy
Open accessAbstract
Although notable progress has been made on novel cancer treatments, the overall survival rate and therapeutic effects are still unsatisfactory for cancer patients. Chemoimmunotherapy, combining chemotherapeutics and immunotherapeutic drugs, has emerged as a promising approach for cancer treatment, with the advantages of cooperating two kinds of treatment mechanism, reducing the dosage of the drug and enhancing therapeutic effect. Moreover, nano-based drug delivery system (NDDS) was applied to encapsulate chemotherapeutic agents and exhibited outstanding properties such as targeted delivery, tumor microenvironment response and site-specific release. Several nanocarriers have been approved in clinical cancer chemotherapy and showed significant improvement in therapeutic efficiency compared with traditional formulations, such as liposomes (Doxil®, Lipusu®), nanoparticles (Abraxane®) and micelles (Genexol-PM®). The applications of NDDS to chemoimmunotherapy would be a powerful strategy for future cancer treatment, which could greatly enhance the therapeutic efficacy, reduce the side effects and optimize the clinical outcomes of cancer patients. Herein, the current approaches of cancer immunotherapy and chemoimmunotherapy were discussed, and recent advances of NDDS applied for chemoimmunotherapy were further reviewed.
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
1 retracted
Lu, J., Liu, X., Liao, Y.-P., Wang, X., Ahmed, A., Jiang, W., Ji, Y., Meng, H., & Nel, A. E. (2018) · ACS Nano · doi:10.1021/acsnano.8b05189 · Cited by 222
RetractedBray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838
Reporting results of cancer treatment
Miller, A. B., Hoogstraten, B., Staquet, M., & Winkler, A. (1981) · Cancer · doi:10.1002/1097-0142(19810101)47:1<207::aid-cncr2820470134>3.0.co;2-6 · Cited by 7,793
Oncology meets immunology: the cancer-immunity cycle.
Chen, D. S., & Mellman, I. (2013) · Immunity · doi:10.1016/j.immuni.2013.07.012 · Cited by 6,929
The future of immune checkpoint therapy
Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878
Poly Lactic-co-Glycolic Acid (PLGA) as Biodegradable Controlled Drug Delivery Carrier
Makadia, H. K., & Siegel, S. J. (2011) · Polymers · doi:10.3390/polym3031377 · Cited by 4,816
Cited by
Liposomal Nanomedicine: Applications for Drug Delivery in Cancer Therapy
Rommasi, F., & Esfandiari, N. (2021) · Nanoscale Research Letters · doi:10.1186/s11671-021-03553-8 · Cited by 269
Grape By-Products in Sustainable Cosmetics: Nanoencapsulation and Market Trends
Castro, M. L., Ferreira, J. P., Pintado, M., Ramos, O. L., Borges, S., & Baptista-Silva, S. (2023) · Applied Sciences · doi:10.3390/app13169168 · Cited by 32
Metadata
- Authors
- Mu, W., Chu, Q., Liu, Y., & Zhang, N.
- Venue
- Nano-Micro Letters
- Published
- 2020-07-05
- Volume
- 12
- Issue
- 1
- Pages
- 142-142
- ISSN
- 2150-5551 (ISSN-L)
- 2311-6706
- OpenAlex
- W3038795195
- Cited by
- 328
- References
- 158
- FWCI
- 9.29
- 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: A Review on Nano-Based Drug Delivery System for Cancer Chemoimmunotherapy. https://app.cochat.ai/papers/10.1007/s40820-020-00482-6
- The paper
- Mu, W., Chu, Q., Liu, Y., & Zhang, N. (2020). A Review on Nano-Based Drug Delivery System for Cancer Chemoimmunotherapy. Nano-Micro Letters. https://doi.org/10.1007/s40820-020-00482-6
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.
