Evidence map›Paper›PMID 42840993›Full record

ReviewFrontiers in immunology2026

Antigen-experienced NK-T cells: integrating new insights and exploring therapeutic potential in cancer immunotherapy.

Shunichiro Kuramitsu, Masasuke Ohno, Mitsugu Fujita

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shunichiro KuramitsuDepartment of Neurosurgery, Shizuoka Cancer Center, Nagaizumi, Japan.
Masasuke OhnoDepartment of Neurosurgery, Aichi Cancer Center, Nagoya, Japan.
Mitsugu FujitaCenter for Medical Education and Clinical Training, Kindai University Faculty of Medicine, Sakai, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional CD8+ T cells can acquire natural killer (NK) cell receptors upon persistent antigen exposure, forming antigen-experienced NK-T (AENK-T) cells. Their dual-state plasticity within the tumor immune microenvironment determines cancer immunotherapy outcomes. This narrative review synthesizes recent transcriptomic, epigenomic, and functional data to define the trajectory, regulation, and therapeutic relevance of AENK-T cells. The analysis establishes a "temporal hierarchy" differentiating AENK-T cells from innate-like T cells: activating NK receptors (NKG2C, NKG2D) emerge early, while inhibitory receptors (NKG2A, killer-cell immunoglobulin-like receptors, KLRB1) accumulate under sustained stimulation. Mechanistically, BCL11B downregulation and the T-bet-Zeb2 axis stabilize a cytotoxic Effector AENK-T state. Conversely, the TOX-LAG-3 loop and SOX4-ID3 axis drive transition into a suppressive Exhausted AENK-T state, mirroring terminal exhaustion. The tumor immune microenvironment accelerates this shift via hypoxia, metabolic competition, and TGF-β, contrasting with chronic infection models. Translating these findings, an evaluation of emerging strategies, such as NKG2A blockade, biomarker-guided patient selection, and next-generation chimeric antigen receptor (CAR)-T cell engineering, suggests that temporally informed approaches targeting the AENK-T trajectory may overcome current immune checkpoint therapy limitations.

Indexed as

Antigens, NeoplasmImmunotherapyNatural Killer T-CellsNeoplasmsAnimalsHumansT-Cell ExhaustionTumor MicroenvironmentAntigens, Neoplasmantigen-experienced NK-T (AENK-T) cellschimeric antigen receptor (CAR)-T cellsimmune checkpoint blockadeinnate-like T cellsnatural killer cell receptorsT cell exhaustiontumor immune microenvironment (TIME)

Identifiers

PMID42840993
PMCPMC13640140

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.