Evidence map›Paper›PMID 39026146›Full record

ArticleBMC cancer2024

The associations between dysregulation of human blood metabolites and lung cancer risk: evidence from genetic data.

Gujie Wu, Jun Liu, Haochun Shi, Binyang Pan, Min Li, Xiaolin Wang, Yao Li, Lin Cheng, Weigang Guo, Yiwei Huang

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. [European journal of nuclear medicine and molecular imaging · 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

10 authors.

Gujie Wu *Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Jun Liu *Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Haochun Shi *Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Binyang Pan *Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Min LiDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Xiaolin WangShanghai Medical College, Fudan University, Shanghai, 200032, China.
Yao LiShanghai Medical College, Fudan University, Shanghai, 200032, China.
Lin ChengRegenerative Medicine Institute, Biomedical Sciences Building, School of Medicine, National University of Ireland (NUI), Galway, Ireland. L.Cheng1@nuigalway.ie.
Weigang GuoDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. guo.weigang@zs-hospital.sh.cn.
Yiwei HuangDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. huang.yiwei@zs-hospital.sh.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic dysregulation is recognized as a significant hallmark of cancer progression. Although numerous studies have linked specific metabolic pathways to cancer incidence, the causal relationship between blood metabolites and lung cancer risk remains unclear.

methodsGenomic data from 29,266 lung cancer patients and 56,450 control individuals from the Transdisciplinary Research in Cancer of the Lung and the International Lung Cancer Consortium (TRICL-ILCCO) were utilized, and findings were replicated using additional data from the FinnGen consortium. The analysis focused on the associations between 486 blood metabolites and the susceptibility to overall lung cancer and its three major clinical subtypes. Various Mendelian randomization methods, including inverse-variance weighting, weighted median estimation, and MR-Egger regression, were employed to ensure the robustness of our findings.

resultsA total of 19 blood metabolites were identified with significant associations with lung cancer risk. Specifically, oleate (OR per SD = 2.56, 95% CI: 1.51 to 4.36), 1-arachidonoylglyceropholine (OR = 1.79, 95% CI: 1.22 to 2.65), and arachidonate (OR = 1.67, 95% CI: 1.16 to 2.40) were associated with a higher risk of lung cancer. Conversely, 1-linoleoylglycerophosphoethanolamine (OR = 0.57, 95% CI: 0.40 to 0.82), ADpSGEGDFXAEGGGVR, a fibrinogen cleavage peptide (OR = 0.60, 95% CI: 0.47 to 0.77), and isovalerylcarnitine (OR = 0.62, 95% CI: 0.49 to 0.78) were associated with a lower risk of lung cancer. Notably, isoleucine (OR = 9.64, 95% CI: 2.55 to 36.38) was associated with a significantly higher risk of lung squamous cell cancer, while acetyl phosphate (OR = 0.11, 95% CI: 0.01 to 0.89) was associated with a significantly lower risk of small cell lung cancer.

conclusionThis study reveals the complex relationships between specific blood metabolites and lung cancer risk, highlighting their potential as biomarkers for lung cancer prevention, screening, and treatment. The findings not only deepen our understanding of the metabolic mechanisms of lung cancer but also provide new insights for future treatment strategies.

Indexed as

Lung NeoplasmsBiomarkers, TumorCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsBiomarkers, TumorCausalityGenome-wide association studiesLung cancerMendelian randomizationMetabolomics

Identifiers

PMID39026146
PMCPMC11256634

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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.