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Tumor and T cell engagement by BiTE.

Authors: Dineli, Wickramasinghe;

Tumor and T cell engagement by BiTE.

Abstract

Cancer immunotherapy attempts to exploit the capability of the immune system to attack malignant cells. Recent results suggest that clinical responses in patients point to this new mechanism as potentially beneficial in harnessing the immune system for combating established malignancies. These checkpoint-related immunotherapies rely on engaging a subset of T cells in anti-tumor immune responses. BiTE® (Bi-specific T cell engager) represents a distinct modality that directly engages any T cell and a specific antigen expressing tumor cell. The approach offers the advantage of engaging T cells and patient tumor cells that differentially express a specific cell surface antigen. The specificity confers redirected tumor cell killing and recent clinical data with the BiTE blinatumomab show evidence of clinical remissions. The characteristics of a suitable BiTE with the benefit of CD3 mediated T cell recognition and articulation of tumor specific antigens combined in this therapeutic modality is described here.

Related Organizations
Keywords

Neoplasms, T-Lymphocytes, Humans, Immunotherapy

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
18
Top 10%
Average
Top 10%
Related to Research communities
Cancer Research
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