The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Emerging new therapeutic antibody derivatives for cancer treatment
Open accessAbstract
Monoclonal antibodies constitute a promising class of targeted anticancer agents that enhance natural immune system functions to suppress cancer cell activity and eliminate cancer cells. The successful application of IgG monoclonal antibodies has inspired the development of various types of therapeutic antibodies, such as antibody fragments, bispecific antibodies, and antibody derivatives (e.g., antibody–drug conjugates and immunocytokines). The miniaturization and multifunctionalization of antibodies are flexible and viable strategies for diagnosing or treating malignant tumors in a complex tumor environment. In this review, we summarize antibodies of various molecular types, antibody applications in cancer therapy, and details of clinical study advances. We also discuss the rationale and mechanism of action of various antibody formats, including antibody–drug conjugates, antibody–oligonucleotide conjugates, bispecific/multispecific antibodies, immunocytokines, antibody fragments, and scaffold proteins. With advances in modern biotechnology, well-designed novel antibodies are finally paving the way for successful treatments of various cancers, including precise tumor immunotherapy, in the clinic.
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Qian, L., Lin, X., Gao, X., Khan, R. U., Liao, J.-Y., Du, S., Ge, J., Zeng, S., & Yao, S. Q. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00915 · Cited by 155
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A review on Stimuli-pH responsive liposomal formulation in cancer therapy
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Metadata
- Authors
- Jin, S., Sun, Y., Liang, X., Gu, X., Ning, J., Xu, Y., Chen, S., & Pan, L.
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2022-02-07
- Volume
- 7
- Issue
- 1
- Pages
- 39-39
- ISSN
- 2059-3635 (ISSN-L)
- OpenAlex
- W4210874003
- Cited by
- 459
- References
- 43
- FWCI
- 51.23
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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