Evidence map›Paper›PMID 40314895›Full record

ArticleDiscover oncology2025

Associations between lipids and lung cancer subtypes.

Jiayu Wen, Jian-Qing He

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. Review
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

2 authors.

Jiayu WenDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Meishan City, Renshou County, Meishan, China.
Jian-Qing HeDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, China. jianqing_he@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe causative relationship between lung cancer subtypes and lipids is yet unknown. This research aims to elucidate the potential causative link connecting lipid levels to lung cancer subtypes, particularly focusing on non-small cell lung cancer (NSCLC), using the Mendelian randomization (MR) method and meta-analysis.

methodsSummary statistics were obtained from genome-wide association study (GWAS) datasets. A comprehensive MR analysis was performed to explore the causal role of lipids in NSCLC subtypes. To ensure the reliability of the results, an external dataset was used for validation, and a meta-analysis was performed for further synthesis.

resultsTwo of the 179 lipids examined showed potential causal connection with lung adenocarcinoma (LUAD) and three with lung squamous cell carcinoma (LUSC). Specifically, phosphatidylcholine (PC) (16:0_20:4) and PC (18:0_20:4) might be connected to an elevated risk of LUSC, but PC (18:0_20:2) might be linked to a decreased risk. It was discovered that PC (16:1_20:4) and PC (18:0_20:4) might raise the risk for LUAD.

conclusionComplex lipid metabolic pathways, especially involving PC, are present in NSCLC, and distinct lipid isomers may influence various molecular subtypes in different ways.

Indexed as

LipidLung adenocarcinomaLung squamous cell carcinomaMendelian randomization

Identifiers

PMID40314895
PMCPMC12048372

What Socratic holds

Textmetadata
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.