Evidence map›Paper›PMID 37402763›Full record

Observational studyScientific reports2023

Peripheral CD4 memory T cells predict the efficacy of immune checkpoint inhibitor therapy in patients with non-small cell lung cancer.

Minehiko Inomata, Masahiro Matsumoto, Naoki Takata, Kana Hayashi, Zenta Seto, Takahiro Hirai, Kotaro Tokui, Chihiro Taka, Seisuke Okazawa, Kenta Kambara and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  10. Exhausted T cell phenotypes in disseminated coccidioidomycosis.medRxiv : the preprint server for health sciences · 2026
    Article
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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 at 1 institution in 1 country.

Minehiko InomataFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan. 9446-tym@umin.org.
Masahiro MatsumotoFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Naoki TakataFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Kana HayashiFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Zenta SetoFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Takahiro HiraiFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Kotaro TokuiFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Chihiro TakaFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Seisuke OkazawaFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Kenta KambaraFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Shingo ImanishiFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Toshiro MiwaFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Ryuji HayashiDepartment of Clinical Oncology, Toyama University Hospital, Toyama, Japan.
Shoko MatsuiFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Kazuyuki TobeFirst Department of Internal Medicine, Toyama University Hospital, Toyama, Japan.
Toyama University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors have significantly improved the prognosis in patients with non-small cell lung cancer, compared with cytotoxic agents. However, the prediction of treatment response is often difficult, even after assessing the tumor programmed death-ligand 1 expression. We conducted this observational study to analyze the association between the differentiation of peripheral CD4 + T cells and the efficacy of immune checkpoint inhibitor therapy. We enrolled patients who were diagnosed with non-small cell lung cancer and received immune checkpoint inhibitor therapy between 2020 and 2022. Blood samples were collected at the start of immune checkpoint inhibitor therapy, and the expressions of PD-1, CCR7, and CD45RA in peripheral CD4 + T cells were analyzed by flow cytometry. The association between the findings of flow cytometry and survival after the initiation of the immune checkpoint inhibitor therapy was evaluated. Forty patients with non-small cell lung cancer were enrolled. The Cox proportional hazards model showed that an increased proportion of CD45RA-CD4 + T cells was associated with a reduced risk of progression after adjustment for performance status, tumor programmed death-ligand 1 expression level, mutation status of the epidermal growth factor receptor gene, and combined therapy with cytotoxic agents. The present study showed that the proportion of peripheral CD45RA- CD4 + T cells was associated with progression-free survival after the initiation of immune checkpoint inhibitor therapy, independent of several clinical factors.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenCytotoxinsHumansImmune Checkpoint InhibitorsMemory T CellsB7-H1 AntigenCytotoxinsImmune Checkpoint Inhibitors

Identifiers

PMID37402763
PMCPMC10319808
OpenAlexW4383067451

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.