Evidence map›Paper›PMID 40407984›Full record

ArticleDiscover oncology2025

Exploring the genetic causal inference between plasma lipidome and lung carcinoma: a bidirectional mendelian randomization study.

Hongyu Pan, Jinyu Hu, Shanshan Gong, Yuchang Fei

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Hongyu PanDepartment of Traditional Chinese Medicine, Shangyu People's Hospital of Shaoxing, Shaoxing University, Shaoxing, Zhejiang, China.
Jinyu HuDepartment of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Shanshan GongDepartment of Gastroenterology, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yuchang FeiDepartment of Integrated Chinese and Western Medicine, The First People's Hospital of Jiashan, Jiashan Hospital Affiliated of Jiaxing University, Jiaxing, Zhejiang, China. feiyuchang123456@163.com.

Funding

the Chinese Medicine Research Program of Zhejiang Province No.2023ZF177the Chinese Medicine Research Program of Zhejiang Province No.2023ZR054the Zhejiang Provincial Natural Science Foundation of China No.LQ23H270008
6 · The paper itself

Abstract

backgroundClinical observational studies have highlighted differences in plasma lipid profiles between lung carcinoma patients and healthy individuals. However, the causal relationship underlying these differences remains unclear. This study aims to investigate the bidirectional causal relationship between 179 plasma lipids and lung carcinoma.

methodsA bivariate two-sample Mendelian randomization (MR) study was conducted using data from public genome-wide association studies (GWAS). The primary analytical technique employed was the inverse variance weighting method (IVW), with MR-Egger, weighted-median, and weighted mode as supplementary methods. Sensitivity analyses including Cochran's Q test and MR-Egger intercept test were performed to ensure the robustness of the results.

resultsMendelian randomization analysis revealed positive associations between levels of certain plasma lipidome-Sterol ester 27:1/20:5 levels (OR 1.162, 95% confidence interval (CI) 1.077-1254, P 1.15e

conclusionOur study reveals the causal relationship between plasma lipidome and lung cancer, provides preliminary genetic evidence, and provides a new idea for understanding the pathogenesis of lung cancer and finding promising therapeutic targets.

Indexed as

BiomarkersLung carcinomaMendelian randomizationPlasma lipidome

Identifiers

PMID40407984
PMCPMC12102421

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.