Evidence map›Paper›PMID 40198121›Full record

ArticleJCI insight2025

ICOS+CD4+ T cells define a high susceptibility to anti-PD-1 therapy-induced lung pathogenesis.

Mari Yokoi, Kosaku Murakami, Tomonori Yaguchi, Kenji Chamoto, Hiroaki Ozasa, Hironori Yoshida, Mirei Shirakashi, Katsuhiro Ito, Yoshihiro Komohara, Yukio Fujiwara and 6 more

Abstract read
In one paragraph

Article in JCI insight, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

16 authors.

Mari YokoiDivision of Clinical Immunology and Cancer Immunotherapy, Center for Cancer Immunotherapy and Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kosaku MurakamiDivision of Clinical Immunology and Cancer Immunotherapy, Center for Cancer Immunotherapy and Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomonori YaguchiDepartment of Immunology and Genomic Medicine, Center for Cancer Immunotherapy and Immunobiology.
Kenji ChamotoDepartment of Immunology and Genomic Medicine, Center for Cancer Immunotherapy and Immunobiology.
Hiroaki OzasaDepartment of Respiratory Medicine.
Hironori YoshidaDepartment of Respiratory Medicine.
Mirei ShirakashiDepartment of Rheumatology and Clinical Immunology, and.
Katsuhiro ItoDepartment of Immunology and Genomic Medicine, Center for Cancer Immunotherapy and Immunobiology.
Yoshihiro KomoharaDepartment of Cell Pathology, Graduate School of Medical Science, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yukio FujiwaraDepartment of Cell Pathology, Graduate School of Medical Science, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Hiromu YanoDepartment of Cell Pathology, Graduate School of Medical Science, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Tatsuya OgimotoDepartment of Respiratory Medicine.
Daiki HiraDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Tomohiro TeradaDepartment of Clinical Pharmacology and Therapeutics, Kyoto University Hospital, Kyoto, Japan.
Toyohiro HiraiDepartment of Respiratory Medicine.
Hirotake TsukamotoDivision of Clinical Immunology and Cancer Immunotherapy, Center for Cancer Immunotherapy and Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Managing immune-related adverse events (irAEs) caused by cancer immunotherapy is essential for developing effective and safer therapies. However, cellular mechanism(s) underlying organ toxicity during anti-PD-(L)1 therapy remain unclear. Here, we investigated the effect of chronological aging on anti-PD-(L)1 therapy-induced irAE-like lung toxicity, utilizing tumor-bearing aged mice. Anti-PD-(L)1 therapy facilitated ectopic infiltration of T and B cells, and antibody deposition in lungs of aged but not young mice. Adoptive transfer of aged lung-derived CD4+ T cells into TCR-deficient mice revealed that both pathogenic CD4+ T cells and an aged host environment were necessary for the irAE-inducible responses. Single-cell transcriptomics of lung-infiltrating cells in aged mice demonstrated that anti-PD-(L)1 therapy elicited ICOS+CD4+ T cell activation. Disruption of the ICOS-ICOSL interaction attenuated germinal center B cell differentiation and subsequent lung damage, which were overcome by local administration of IL-21 in the lungs of anti-PD-1 therapy-treated aged mice. Therefore, ICOS+CD4+ T cells elicited under an aged environment exacerbated aberrant immune responses and the subsequent lung dysfunction. Consistent with the findings from the mouse model, ICOS upregulation in CD4+ T cells was associated with later irAE incidence in patients with cancer. These finding will help development of useful strategies for irAE management in patients with cancer, many of whom are elderly.

Indexed as

CD4-Positive T-LymphocytesImmune Checkpoint InhibitorsImmunotherapyInducible T-Cell Co-Stimulator ProteinLungAgingAnimalsB-LymphocytesDisease Models, AnimalFemaleInducible T-Cell Co-Stimulator LigandInterleukin-21InterleukinsLymphocyte ActivationMiceMice, Inbred C57BLIcosl protein, mouseIcos protein, mouseImmune Checkpoint InhibitorsInducible T-Cell Co-Stimulator LigandInducible T-Cell Co-Stimulator ProteinInterleukin-21InterleukinsPdcd1 protein, mouseProgrammed Cell Death 1 ReceptorAgingAutoimmunityCancer immunotherapyImmunologyMouse modelsTolerance

Identifiers

PMID40198121
PMCPMC12128994

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.