Evidence map›Paper›PMID 41467185›Full record

ArticleiScience2025

Multi-trait association analysis reveals shared genetic architecture between lung cancer and cardiometabolic diseases.

Qiong Lyu, Xuan-Yu Wang, Erhong Chen, Chanjuan Sun, Zhengang Qiu, Yingyu Xie, Ping He

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Qiong LyuDepartment of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xuan-Yu WangCollege of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Erhong ChenDepartment of Oncology, The Sihui People's Hospital, Zhaoqing, China.
Chanjuan SunDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhengang QiuDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Yingyu XieCollege of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Ping HeDepartment of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) frequently coexists with cardiometabolic diseases (CMDs), complicating clinical management, but their shared genetic architecture remains largely unknown. Here, we analyzed genome-wide association study (GWAS) statistics for LC and 36 cardiometabolic traits and diseases (CMTs) to determine genetic correlations and shared biological pathways. We further explored underlying mechanisms through the analysis of bulk and single-cell RNA sequencing data and identified potential therapeutic candidates using drug-gene interaction databases. Significant genetic associations were revealed between LC and 16 CMTs, including subarachnoid hemorrhage, peripheral arterial disease, heart failure, and physiological traits (Padj <0.05). The shared genes were identified as enriched in lipid and cholesterol metabolism. Notably, monocyte-derived macrophages (mo-Macs) in lung adenocarcinoma exhibited M2-like polarization under high cholesterol metabolism and rosuvastatin and lovastatin were identified as potential drugs for LC-CMD comorbidities. Our findings demonstrate a role for cholesterol metabolism in LC-CMD comorbidities, offering insights into the underlying mechanisms and potential therapeutic strategies.

Indexed as

BioinformaticsCardiovascular medicineHealth sciencesInternal medicineMedical informaticsMedical specialtyMedicineOncology

Identifiers

PMID41467185
PMCPMC12744264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.