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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Cancer Cellarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Cancer Cell
Article . 2025 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Breaking the mold: Unconventional T cells in cancer therapy

Authors: Yan-Ruide, Li; Kuangyi, Zhou; Yichen, Zhu; Tyler, Halladay; Lili, Yang;

Breaking the mold: Unconventional T cells in cancer therapy

Abstract

Unconventional T cells, including invariant natural killer T (iNKT) cells, gamma delta (γδ) T cells, and mucosal-associated invariant T (MAIT) cells, play important roles in both innate and adaptive immunity. These cells respond to tumors rapidly and influence the tumor microenvironment (TME). Recent advances in understanding their biology, as well as the development of novel therapeutic approaches, have underscored their potential in cancer immunotherapy. This commentary will assess these advances and translational possibilities in the field.

Keywords

Neoplasms, T-Lymphocytes, Tumor Microenvironment, Humans, Natural Killer T-Cells, Animals, Immunotherapy, Adaptive Immunity, Mucosal-Associated Invariant T Cells, Immunity, Innate

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    Impact byBIP!
    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).
    27
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
27
Top 10%
Average
Top 10%
Related to Research communities
Cancer Research
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