Evidence map›Paper›PMID 41249120›Full record

ArticleCell death & disease2025

Integrated genetic and epigenetic analysis identifies that rs939408 affects non-smoking lung adenocarcinoma risk by modulating the DNA methylation of LRRC2.

Lei Zhang, Zhenyu Li, Yanchi Wang, Mingjiong Zhang, Haoyan Chen, Yifan Cheng, Qiong Chen, Baosheng Cui, Jiahao Liu, Haiyan Gong and 7 more

Abstract read
In one paragraph

Article in Cell death & disease, 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

17 authors.

Lei Zhang *Institute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Zhenyu Li *Institute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yanchi Wang *Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.
Mingjiong Zhang *Jiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Haoyan Chen *Jiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yifan ChengJiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Qiong ChenInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Baosheng CuiDepartment of Thoracic Surgery, Affiliated Qidong Hospital of Nantong University, Qidong People's Hospital, Qidong Liver Cancer Institute, Nantong, Jiangsu, China.
Jiahao LiuInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Haiyan GongDepartment of Thoracic Surgery, Affiliated Qidong Hospital of Nantong University, Qidong People's Hospital, Qidong Liver Cancer Institute, Nantong, Jiangsu, China.
Rui ZhuInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Tian TianInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yan ZhangInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Shengguang DingDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Yu DuanJiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. duanyu@jsph.org.cn.
Shuangshuang WuJiangsu Provincial Key Laboratory of Geriatrics, Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China. polariswu7632@njmu.edu.cn.
Minjie ChuInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, Jiangsu, China. chuminjie@ntu.edu.cn.ORCID http://orcid.org/0000-0002-7533-9119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the relationship between methylation quantitative trait loci (meQTL) and lung adenocarcinoma (LUAD) susceptibility. Candidate SNPs linked to differentially methylated CpG sites in LUAD were identified through meQTL datasets. Genome-wide association study (GWAS) data were analyzed to assess the correlation between selected meQTLs and LUAD risk. The effects of target genes on malignant LUAD phenotypes were examined through both in vitro and in vivo experiments. Additionally, machine learning and radiomics models were employed to evaluate the association of target genes on LUAD progression. The variant A allele of rs939408 was associated with decreased methylation levels of cg09596674 in LRRC2 (β < 0, P < 0.001). While cg09596674 was highly methylated, LRRC2 showed lower expression in LUAD tumor tissues. Consistently, a negative correlation was observed between methylation of cg09596674 and LRRC2 expression (r = -0.32, P < 0.001), indicating that lower methylation of cg09596674 modulated by rs939408 may reduce non-smoking LUAD risk (OR = 0.89, P = 0.019). Increased LRRC2 expression inhibited LUAD cell line malignancy and suppressed tumor growth in mice. Furthermore, lower LRRC2 expression was linked to metastasis (P = 0.02) and higher levels of two poorer survival-related imaging features (P = 0.03). The meQTL rs939408 may modulate DNA methylation of LRRC2, thereby influencing its expression and potentially affecting non-smoking LUAD risk. These findings offer valuable insights into the role of meQTLs in LUAD carcinogenesis.

Indexed as

Adenocarcinoma of LungDNA MethylationEpigenesis, GeneticLung NeoplasmsNeoplasm ProteinsPolymorphism, Single NucleotideAnimalsCell Line, TumorFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiceMice, NudeNeoplasm Proteins

Identifiers

PMID41249120
PMCPMC12624109

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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.