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Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Engineering antibodies with cancer‐associated binding sites

Authors: Yinqi Tian; Yumeng Pan; Yingchun Zhang; Fangling Wang; Zejun Wang;

Engineering antibodies with cancer‐associated binding sites

Abstract

AbstractCancer immunotherapy has appeared as a prospective therapeutic modality. Therapeutic antibodies induced in an in vitro expression system act as “targeting missiles” against tumor‐associated binding sites, and subsequently, immune system attack on tumors is restored or boosted. These antibody regimens are engineered towards enhanced Fc efficacy, humanization, and fragmentation to specifically recognize and bind to effective tumor‐associated targets. The challenge lies in obtaining efficient therapeutic regimens with low response rates, acquisition of resistance, and immune‐related undesirable effects of artificially designed therapeutic antibodies, which is crucial for enhancing clinical efficacy. This review provides an in‐depth introduction to antibodies that perform direct/indirect roles in cancer treatment by binding to immune checkpoints, co‐stimulatory receptors, and extracellular membrane receptors. It also discusses how antibodies kill tumors and modulate microenvironment of tumor through these targets. The classification of expression systems for antibody production is summarized to guide appropriate selection based on different specificities. Understanding antibody sources, ongoing evaluation of engineered antibodies, and tumor‐associated antigen research pave the way for designing appropriate antibody‐based immunotherapy regimens.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold
Related to Research communities
Cancer Research