Evidence map›Paper›PMID 40773084›Full record

ArticleDiscover oncology2025

The association between white blood cell count and relative risk of non-small cell lung cancer.

Xiao Yang, Wenyi Liu, Jiaqi Wang, Weifeng Xia, Lanxiang Wu

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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
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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

5 authors.

Xiao Yang *Laboratory of Pharmacogenetics and Pharmacogenomics, College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Wenyi Liu *Laboratory of Pharmacogenetics and Pharmacogenomics, College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Jiaqi WangLaboratory of Pharmacogenetics and Pharmacogenomics, College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Weifeng XiaLaboratory of Pharmacogenetics and Pharmacogenomics, College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Lanxiang WuLaboratory of Pharmacogenetics and Pharmacogenomics, College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China. lxwu@cqmu.edu.cn.

Funding

Natural Science Foundation of China 82073938Scientific and Technological Research Program of Chongqing Municipal Education Commission KJQN202200432Youth Innovation in Future Medicine, Chongqing Medical University W0093
6 · The paper itself

Abstract

backgroundHigh abundance of eosinophils has been proved to associated with favorable disease progression in non-small cell lung cancer (NSCLC) in the previous observational studies, but the causal relationship remains unclear. It is also unclear whether white blood cell (WBC) counts are essential for the risk of NSCLC.

methodsUsing multiple methods of Mendelian randomization (MR), we assessed the causality of WBC count, particularly basophil, eosinophil, monocyte, lymphocyte, and neutrophil counts on the risk of NSCLC, which includes squamous carcinoma and adenocarcinoma. Single cell RNA-sequencing and RNA-sequencing analysis illustrate the underline mechanism of the causality and its biological effects.

resultsUnivariable MR analysis indicated the protective effect of elevated eosinophil counts on NSCLC and adenocarcinoma subtype. The protective effect of eosinophils persisted even after adjusting. The protective functions mainly effected by immune activating, and it contribute to better survival and favorable response to immune therapy. Univariate MR analysis also states the risk role of neutrophil. Sequencing based analysis proved the immune inhibit functions of neutrophil, which lead to worse survival and immune treatment response.

conclusionOur study indicated a correlation between circulating eosinophil counts, neutrophil counts, and the development of NSCLC. And sequencing analysis confirm this relationship and illustrated the underline mechanism.

Indexed as

EosinophilsMendelian randomizationNSCLCSingle-cell RNA sequencingWBC

Identifiers

PMID40773084
PMCPMC12332170

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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.