Evidence map›Paper›PMID 42688288›Full record

ReviewFrontiers in cell and developmental biology2026

Programmed cell death-1: from a T-cell immune checkpoint to a regulator of Natural Killer cell biology.

Fabiana De Franco, Marco Greppi, Valentina Obino, Federico Rebaudi, Rayan Goda, Irene Caffa, Matteo Bozzo, Ombretta Melaiu, Enrico Munari, Valerio Gaetano Vellone and 5 more

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 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

15 authors.

Fabiana De Franco *Department of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.
Marco Greppi *Department of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.
Valentina ObinoDepartment of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.
Federico RebaudiDepartment of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.
Rayan GodaDepartment of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.
Irene CaffaDepartment of Internal Medicine and Medical Specialties, University of Genoa, Genoa, Italy.
Matteo BozzoDepartment of Earth, Environmental and Life Sciences, DISTAV, University of Genoa, Genoa, Italy.
Ombretta MelaiuDepartment of Clinical Sciences and Translational Medicine, University of Rome Tor Vergata, Rome, Italy.
Enrico MunariPathology Unit, Verona University Hospital Trust, Verona, Italy.
Valerio Gaetano VelloneDepartment of Integrated Surgical and Diagnostic Sciences, University of Genoa, Genoa, Italy.
Camilla JandusDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Domenico MavilioLaboratory of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
Simona CandianiAOM - IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Silvia PesceDepartment of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.
Emanuela MarcenaroDepartment of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death protein 1 (PD-1, CD279) is a pivotal inhibitory immune checkpoint receptor that plays a central role in maintaining immune homeostasis and peripheral tolerance. Originally characterized as a negative regulator of T-cell activation, PD-1 limits excessive immune responses and prevents autoimmunity, while its sustained expression under conditions of chronic antigen stimulation contributes to T-cell dysfunction and exhaustion. The discovery that blockade of the PD-1 pathway can restore anti-tumor immunity has revolutionized cancer therapy and established immune checkpoint inhibition as a cornerstone of modern oncology. Although PD-1 has traditionally been viewed as a key regulator of adaptive immunity, accumulating evidence indicates that its biological functions extend beyond T cells. In recent years, PD-1 expression has been identified in several innate immune cell populations, particularly Natural Killer (NK) cells, where it has emerged as an important modulator of effector functions, cytokine production, metabolic fitness, and antitumor activity. These findings have challenged the classical view of PD-1 biology and revealed unexpected similarities between NK-cell dysfunction and the exhausted phenotype described in chronically stimulated T cells. In the tumor microenvironment, PD-1 expression on NK cells has been associated with impaired cytotoxicity and reduced immune surveillance, suggesting that NK cells may also represent relevant targets of PD-1-mediated immunosuppression. At the same time, the mechanisms regulating PD-1 expression and signaling in NK cells appear to differ, at least in part, from those operating in T lymphocytes, highlighting the complexity of this pathway across distinct immune cell subsets. In this review, we summarize the current knowledge of PD-1 biology, from its established role in T-cell regulation to its emerging functions in NK cells. We discuss the molecular mechanisms governing PD-1 expression and signaling, its contribution to immune dysfunction in cancer and chronic diseases, and the potential implications of targeting the PD-1 axis to enhance both adaptive and innate antitumor immunity.

Indexed as

cancer immunotherapyimmune checkpointNatural Killer (NK) cellsprogrammed cell death 1 (PD-1)Tumor Microenviroenment (TME)

Identifiers

PMID42688288
PMCPMC13534757

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Registered trials

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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.