Evidence map›Paper›PMID 38962009›Full record

ArticleFrontiers in immunology2024

Causal association between immune cells and lung cancer risk: a two-sample bidirectional Mendelian randomization analysis.

Shengshan Xu, Huiying Fang, Tao Shen, Yufu Zhou, Dongxi Zhang, Yongwen Ke, Zhuowen Chen, Zhuming Lu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Genetic evidence for POR-mediated ferroptosis in lung cancer prevention: a causal role of granulocyte modulation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

8 authors.

Shengshan Xu *Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Huiying Fang *Department of Breast Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
Tao ShenDepartment of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Yufu ZhouDepartment of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Dongxi ZhangDepartment of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Yongwen KeDepartment of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Zhuowen ChenDepartment of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Zhuming Lu *Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have highlighted the crucial role of immune cells in lung cancer development; however, the direct link between immunophenotypes and lung cancer remains underexplored. Methods: We applied two-sample Mendelian randomization (MR) analysis, using genetic variants as instruments to determine the causal influence of exposures on outcomes. This method, unlike traditional randomized controlled trials (RCTs), leverages genetic variants inherited randomly at conception, thus reducing confounding and preventing reverse causation. Our analysis involved three genome-wide association studies to assess the causal impact of 731 immune cell signatures on lung cancer using genetic instrumental variables (IVs). We initially used the standard inverse variance weighted (IVW) method and further validated our findings with three supplementary MR techniques (MR-Egger, weighted median, and MR-PRESSO) to ensure robustness. We also conducted MR-Egger intercept and Cochran's Q tests to assess heterogeneity and pleiotropy. Additionally, reverse MR analysis was performed to explore potential causality between lung cancer subtypes and identified immunophenotypes, using R software for all statistical calculations. Results: Our MR analysis identified 106 immune signatures significantly associated with lung cancer. Notably, we found five suggestive associations across all sensitivity tests ( Conclusion: This study establishes a significant genomic link between immune cells and lung cancer, providing a robust basis for future clinical research aimed at lung cancer management.

Indexed as

Genome-Wide Association StudyLung NeoplasmsMendelian Randomization AnalysisGenetic Predisposition to DiseaseHumansImmunophenotypingPolymorphism, Single NucleotideRisk Factorscausal relationshipgenome-wide association studiesimmune cellslung cancerMendelian randomization

Identifiers

PMID38962009
PMCPMC11219561

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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.