Evidence map›Paper›PMID 37669914›Full record

ArticleThoracic cancer2023

Pretreatment eosinophil counts as a predictive biomarker in non-small cell lung cancer patients treated with immune checkpoint inhibitors.

Eiji Takeuchi, Kensuke Kondo, Yoshio Okano, Seiya Ichihara, Michihiro Kunishige, Naoki Kadota, Hisanori Machida, Nobuo Hatakeyama, Keishi Naruse, Hirokazu Ogino and 3 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
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  14. Harnessing myeloid cells in cancer.Molecular cancer · 2025
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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

13 authors at 2 institutions in 1 country.

Eiji TakeuchiDepartment of Clinical Investigation, National Hospital Organization Kochi Hospital, Kochi, Japan.ORCID 0000-0003-1541-9747
Kensuke KondoDepartment of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Yoshio OkanoDepartment of Respiratory Medicine, National Hospital Organization Kochi Hospital, Kochi, Japan.
Seiya IchiharaDepartment of Respiratory Medicine, National Hospital Organization Kochi Hospital, Kochi, Japan.
Michihiro KunishigeDepartment of Respiratory Medicine, National Hospital Organization Kochi Hospital, Kochi, Japan.
Naoki KadotaDepartment of Respiratory Medicine, National Hospital Organization Kochi Hospital, Kochi, Japan.
Hisanori MachidaDepartment of Respiratory Medicine, National Hospital Organization Kochi Hospital, Kochi, Japan.
Nobuo HatakeyamaDepartment of Respiratory Medicine, National Hospital Organization Kochi Hospital, Kochi, Japan.
Keishi NaruseDepartment of Pathology, National Hospital Organization Kochi Hospital, Kochi, Japan.
Hirokazu OginoDepartment of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Hiroshi NokiharaDepartment of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.ORCID 0000-0002-1219-6966
Tsutomu ShinoharaDepartment of Community Medicine for Respirology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Yasuhiko NishiokaDepartment of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.ORCID 0000-0001-6311-1654
National Hospital Organization Kochi National Hospital · JPTokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe peripheral blood eosinophil count prior to treatment has potential as a predictive biomarker for a beneficial clinical response to cancer immunotherapies. Therefore, the present study investigated the impact of the eosinophil count on overall survival (OS) in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICI).

methodsWe retrospectively reviewed all patients diagnosed with NSCLC and treated with ICI monotherapy between March 2016 and August 2021 at National Hospital Organization Kochi Hospital and Tokushima University.

resultsA total of 166 patients were included. Fifty-five patients had an eosinophil count of less than 100 cells/μL (Eo < 100). Nighty-eight patients had an eosinophil count of 100 cells/μL or more, but less than 500 cells/μL (100 ≤ Eo < 500). Thirteen patients had an eosinophil count of 500 cells/μL or more (Eo ≥500). The median OS of all lung cancer patients was 476 days. The median OS of lung cancer patients with Eo <100, 100 ≤ Eo <500, and Eo ≥500 was 339, 667, and 143 days, respectively. A Kaplan-Meier univariate analysis showed a significant difference in OS between these three groups (p < 0.001). A Cox proportional regression analysis identified 100 ≤ Eo <500 (p = 0.04), ECOG PS score ≥ 2 (p = 0.02), tumor size ≥5 cm (p = 0.02), and PD-L1 ≥ 1% (p = 0.01) as independent predictors of OS.

conclusionOS was significantly longer in ICI-treated NSCLC patients with a pretreatment eosinophil count of 100 ≤ Eo <500 than in the other patients and, thus, has potential as a new predictive biomarker.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkersEosinophilsHumansImmune Checkpoint InhibitorsRetrospective StudiesBiomarkersImmune Checkpoint Inhibitorsbiomarkerimmune checkpoint inhibitorsnon-small cell lung cancerpredictive factorpretreatment eosinophils

Identifiers

PMID37669914
PMCPMC10599974
OpenAlexW4386446048

What OpenQuestion holds

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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.