Evidence map›Paper›PMID 38087769›Full record

ArticleThoracic cancer2024

An increased relative eosinophil count as a predictive dynamic biomarker in non-small cell lung cancer patients treated with immune checkpoint inhibitors.

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

Abstract read
In one paragraph

Article in Thoracic cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Eosinophils in Oral Disease: A Narrative Review.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Article
  14. 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

13 authors.

Eiji TakeuchiDepartment of Clinical Investigation, National Hospital Organization Kochi Hospital, Kochi, Japan.ORCID 0000-0003-1541-9747
Hirokazu OginoDepartment of Respiratory Medicine and Rheumatology, Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.
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.
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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increased relative eosinophil count (REC) has potential as a predictive biomarker for a beneficial clinical response and outcome to cancer immunotherapies. Therefore, the present study investigated the impact of an increased posttreatment REC on the prognosis of non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs).

methodsWe retrospectively reviewed all 151 patients diagnosed with NSCLC and treated with ICI monotherapy and blood test data between March 2016 and August 2021 at National Hospital Organization Kochi Hospital and Tokushima University.

resultsA total of 151 patients with a mean age of 69 years were included. REC after 4 weeks of initial ICI monotherapy was higher than pretreatment REC in 87 patients but not in 64. REC after 4 weeks of the ICI treatment with and without an increased REC were 4.4 and 1.8%, respectively (p < 0.001). Disease control rates (DCR) were significantly higher in patients with than in those without an increased REC (84% vs. 47%, p < 0.001). The median overall survival (OS) of lung cancer patients with or without an increased REC were 674 and 234 days, respectively. A Kaplan-Meier univariate analysis revealed a significant difference in OS between the two groups (p < 0.001). A Cox proportional regression analysis identified an increased REC as an independent predictor of OS (p = 0.003).

conclusionICI-treated NSCLC patients with an increased REC after 4 weeks of treatment had a better DCR and prognosis than the other patients examined.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAgedBiomarkersEosinophilsHumansImmune Checkpoint InhibitorsRetrospective StudiesBiomarkersImmune Checkpoint Inhibitorsdynamic biomarkerimmune checkpoint inhibitorsincreased eosinophil countnon-small cell lung cancerpredictive factor

Identifiers

PMID38087769
PMCPMC10803223

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.