Evidence map›Paper›PMID 39553208›Full record

ArticleAmerican journal of cancer research2024

The ascendancy of eosinophil counts in non-small cell lung cancer: a potential marker for predicting response and survival under nivolumab treatment.

Mehmet Fatih Ozbay, Aysegul Merc Cetinkaya, Onur Yazdan Balcik, Yusuf Ilhan, Tugrul Burak Genc, Sema Sezgin Goksu

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

6 authors.

Mehmet Fatih OzbayDepartment of Medical Oncology, Kirsehir Training and Research Hospital Kirsehir 40100, Turkey.
Aysegul Merc CetinkayaDepartment of Medical Oncology, Faculty of Medicine, Akdeniz University Antalya 07000, Turkiye.
Onur Yazdan BalcikAlanya Alaattin Keykubat University, Department of Medical Oncology Antalya, Türkiye.
Yusuf IlhanAntalya City Hospital, Department of Medical Oncology Antalya, Türkiye.
Tugrul Burak GencDepartment of Medical Oncology, Mus State Hospital Mus 49250, Turkey.
Sema Sezgin GoksuDepartment of Medical Oncology, Faculty of Medicine, Akdeniz University Antalya 07000, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related death globally and is often diagnosed at an advanced stage. Nivolumab represents a significant advancement for treating advanced non-small cell lung cancer (NSCLC). However, the absence of reliable biomarkers predicting treatment response hinders personalized therapy. Eosinophils play a notable role in cancer biology, particularly when treated with immune checkpoint inhibitors. Eosinophils can infiltrate tumor tissues, directly interacting with tumor cells or modifying the tumor microenvironment. This study aims to assess the potential of PD-L1 expression and peripheral blood eosinophil count in predicting treatment response and patient survival. This retrospective cohort study was conducted in three major cancer centers in Turkey, including 174 advanced NSCLC patients who had progressed after chemotherapy between July 2019 and November 2023. Demographic and clinical data, PD-L1 levels, and eosinophil counts were analyzed using SPSS 27.0. Survival analyses were performed with Kaplan-Meier and Cox regression models. Increased peripheral blood eosinophil count was positively associated with response to Nivolumab treatment and overall survival. Among treatment responders, 54.1% had eosinophil levels between 100-499 cells/mm

Indexed as

biomarkerEosinophilnivolumabNSCLCsurvivaltreatment

Identifiers

PMID39553208
PMCPMC11560823

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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.