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Nanomaterials: Breaking through the bottleneck of tumor immunotherapy
Abstract
Immunotherapy exerts its excellent anti-tumor effects by stimulating and enhancing the immune response of the body, and has become another important class of anti-tumor therapy besides chemotherapy, targeted therapy and radiotherapy. Various types of immunotherapeutic drugs have gained their clinical values, but the in vivo delivery of drugs still faces many challenges, such as poor tumor permeability and low tumor cell uptake rate. In recent years, owing to highly targeting properties, better biocompatibility, and easy functionalization, nanomaterials have been widely applicated in tumor treatment, especially in tumor immunotherapy. Furthermore, nanomaterials have large drug loading capacity, strong tumor targeting and easy modification, which can effectively overcome the drawbacks of traditional immunotherapy. This paper reviews the progress of nanomaterial-based tumor immunotherapy in recent years and provides a theoretical basis for exploring new nanomaterial-based tumor immunotherapy strategies.
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“Effective delivery to solid tumors requires success across five sequential steps: systemic circulation, tumor accumulation, deep tissue penetration, cellular internalization, and controlled drug release [6].”
From Overcoming tumor microenvironment barriers: transformable and bioinspired nanomedicine strategies for deep tumor penetration (2026) · cites this paper as [6]
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Is autoimmunity the Achilles' heel of cancer immunotherapy?
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Metadata
- Authors
- Kang, Y., & Li, S.
- Venue
- International Journal of Biological Macromolecules
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 230
- Pages
- 123159
- ISSN
- 0141-8130
- Cited by
- 61
- References
- 2
- Language
- en
- Licence
- Funders
- Fundamental Research Funds for the Central Universities
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 ›
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