Evidence map›Paper›PMID 38254257›Full record

ArticleCancer science2024

Nivolumab receptor occupancy on effector regulatory T cells predicts clinical benefit.

Masahiro Hosonuma, Yuya Hirasawa, Atsuo Kuramasu, Masakazu Murayama, Yoichiro Narikawa, Hitoshi Toyoda, Yuta Baba, Junya Isobe, Eiji Funayama, Kohei Tajima and 16 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. The Immune Checkpoint Inhibitors Journey: From Early Promise to Lasting Impact.Journal of immunotherapy and precision oncology · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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

26 authors at 1 institution in 1 country.

Masahiro HosonumaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Yuya HirasawaDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Atsuo KuramasuDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Masakazu MurayamaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Yoichiro NarikawaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Hitoshi ToyodaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Yuta BabaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Junya IsobeDepartment of Hospital Pharmaceutics, School of Pharmacy, Showa University, Setagaya-Ku, Japan.
Eiji FunayamaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Kohei TajimaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Midori ShidaDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.
Kazuyuki HamadaDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.ORCID https://orcid.org/0000-0003-0516-9772
Toshiaki TsuruiDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Hirotsugu AriizumiDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Tomoyuki IshiguroDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Risako SuzukiDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Ryotaro OhkumaDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.ORCID https://orcid.org/0000-0003-4121-2491
Yutaro KubotaDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Atsushi HoriikeDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Takehiko SambeDivision of Clinical Pharmacology, Department of Pharmacology, School of Medicine, Showa University, Setagaya-Ku, Japan.
Mayumi TsujiPharmacological Research Center, Showa University, Setagaya-Ku, Japan.
Satoshi WadaDepartment of Clinical Diagnostic Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.ORCID https://orcid.org/0000-0001-6528-5914
Yuji KiuchiDivision of Medical Pharmacology, Department of Pharmacology, School of Medicine, Showa University, Setagaya-Ku, Japan.
Shinichi KobayashiHead and Neck Oncology Center, Showa University, Setagaya-Ku, Japan.
Takuya TsunodaDivision of Medical Oncology, Department of Medicine, School of Medicine, Showa University, Setagaya-Ku, Japan.
Kiyoshi YoshimuraDepartment of Clinical Immuno Oncology, Clinical Research Institute for Clinical Pharmacology and Therapeutics, Showa University, Setagaya-Ku, Japan.ORCID https://orcid.org/0000-0003-4816-1826
Showa University · JP

Funding

Japan Society for the Promotion of Science 20K17033
6 · The paper itself

Abstract

Immune checkpoint inhibitor discovery represents a turning point in cancer treatment. However, the response rates of solid tumors remain ~10%-30%; consequently, prognostic and immune-related adverse event (irAE) predictors are being explored. The programmed cell death protein 1 (PD-1) receptor occupancy (RO) of PD-1 inhibitors depends on the number of peripheral blood lymphocytes and their PD-1 expression levels, suggesting that the RO may be related to efficacy and adverse events. As PD-1 inhibition affects each T-cell subset differently, the RO of each cell population must be characterized. However, relevant data have not been reported, and the prognostic relevance of this parameter is not known. In this study, we aimed to clarify the association between the nivolumab RO in each T-cell population and patient prognosis and reveal the development of irAEs in nivolumab-treated patients. Thirty-two patients were included in the study, and the mean follow-up period was 364 days. The nivolumab RO on effector regulatory T cells (eTregs) was significantly lower in the group that presented clinical benefits, and a significant negative association was observed between PD-1 occupancy on eTregs and all-cause mortality. The results suggest that the nivolumab RO on eTregs may be a prognostic factor in PD-1 inhibitor therapy, implying that the inhibition of PD-1/PD-ligand 1 (PD-L1) signaling on eTregs may attenuate antitumor effects.

Indexed as

NeoplasmsNivolumabHumansImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorT-Lymphocytes, RegulatoryImmune Checkpoint InhibitorsNivolumabProgrammed Cell Death 1 Receptoreffector regulatory T cellsimmune checkpoint inhibitornivolumabPD-1/PD-L1 signalingreceptor occupancy

Identifiers

PMID38254257
PMCPMC10920990
OpenAlexW4391138529

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.