Evidence map›Paper›PMID 40295454›Full record

ArticleDiscover oncology2025

From chronic obstructive pulmonary disease (COPD) to lung cancer: a Mendelian randomization study revealing mediation pathways through plasma metabolomics, proteomics, and immunophenotyping.

Tianjian Ding, Qiaoming Lin, Xiaohan Qu

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

3 authors.

Tianjian Ding *Department of Thoracic Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China.
Qiaoming Lin *Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, N0.420 Fuma Road, Fuzhou, Fujian, China.
Xiaohan QuDepartment of Thoracic Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, China. xhqu@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) and lung cancer are pathologically intertwined, with chronic inflammation fostering carcinogenic transformation through dynamic interactions in the tumor microenvironment.

methodsThis investigation utilized a comprehensive two-sample Mendelian randomization (MR) approach on public genetic datasets to mitigate confounding and determine causality between COPD and lung cancer. We integrated 1400 plasma metabolite characteristics (N = 8299), 731 immune cell attributes (N = 3757), and 4907 plasma protein characteristics (N = 35,559), employing two-sample MR to deduce causal correlations with lung cancer. Sensitivity assessments were executed to fortify the robustness of MR outcomes. Finally, Mendelian mediation analysis was administered to delineate the pathways mediated by plasma immune cells, metabolites, and proteins in the COPD-to-lung cancer continuum. Additionally, we validated our findings using external datasets from the NHANES and TCGA databases to further confirm the reliability of the results.

resultsMR analysis confirmed COPD as a causal risk factor for lung cancer (IVW P-value = 1.38 × 10

conclusionOur genetic inquiry endorses a causal link from COPD to lung cancer, mediated through plasma-based immunological, metabolic, and proteomic mechanisms. These biomarkers afford groundbreaking insights into the etiology of lung cancer, facilitating its prophylaxis, diagnosis, and therapeutic interventions.

Indexed as

COPDImmune cellsLung cancerMendelian randomizationPlasma metabolitesPlasma proteinsSNPs

Identifiers

PMID40295454
PMCPMC12037952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.