Evidence map›Paper›PMID 42148125›Full record

ArticleFrontiers in immunology2026

Predictive value of peripheral blood eosinophil levels and dynamics for efficacy and safety of immune checkpoint inhibitors in non-small cell lung cancer: a real-world study.

Huan Zhang, Armaan Jamal, Wenrui Dou, Ge Guo, Chen Yang, Mingjun Xu, Junjie Dang, Jing Sun, Siyu Xie, Dezheng Huo and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Huan ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Armaan JamalDepartment of Public Health Sciences, University of Chicago, Chicago, IL, United States.
Wenrui DouDepartment of Clinical Medicine, Harbin Medical University, Harbin, China.
Ge GuoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Chen YangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Mingjun XuDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Junjie DangDepartment of Medical Oncology, Peking University Cancer Hospital (Inner Mongolia Campus), Affiliated Cancer Hospital of Inner Mongolia Medical University, Hohhot, China.
Jing SunDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Siyu XieDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Dezheng HuoDepartment of Public Health Sciences, University of Chicago, Chicago, IL, United States.
Lihua ShangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneous benefits from immunotherapy in advanced driver gene-negative non-small cell lung cancer (NSCLC) underscore the need for biomarkers predicting efficacy and immune-related adverse event (irAE) risk. Eosinophils, routinely measured in peripheral blood and involved in antitumor immunity, may serve as practical biomarkers for predicting the efficacy and safety of immune checkpoint inhibitors (ICIs). This retrospective study enrolled 316 consecutive patients with unresectable stage III-IV NSCLC treated with ICI-based regimens at Harbin Medical University Cancer Hospital (2016-2024). Peripheral absolute eosinophil count (AEC) and eosinophil percent (E%) were measured at baseline and after cycles 2 and 4. Overall survival (OS) and progression-free survival (PFS) were the primary and secondary endpoints. Associations with irAEs were also evaluated. Multivariable Cox analysis showed that increases in AEC and E% from baseline to cycle 4 (ΔAEC and ΔE%) were independently associated with OS (ΔAEC: aHR=0.88 per doubling, p=0.036; ΔE%: aHR=0.84 per doubling, p=0.006). Optimal cut-offs for cycle 4 AEC (0.22×10

Indexed as

Carcinoma, Non-Small-Cell LungEosinophilsImmune Checkpoint InhibitorsLung NeoplasmsAgedBiomarkers, TumorFemaleHumansLeukocyte CountMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesTreatment OutcomeBiomarkers, TumorImmune Checkpoint InhibitorsbiomarkerseosinophilsimmunotherapyNSCLCretrospective cohort

Identifiers

PMID42148125
PMCPMC13171796

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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.