ArticleCancer medicine2021
DNA methylome analysis identifies BMI-related epigenetic changes associated with non-small cell lung cancer susceptibility.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Age-related DNA methylation on Y chromosome and their associations with total mortality among Chinese males.Aging cell · 2022Pooled it
- Unraveling the complexity of skin's biological aging utilizing epigenetic clocks.Clinical epigenetics · 2026Article
- Epigenome-wide association study of leukocyte telomere length and their effects on smoking-induced lung tumorigenesis: insights from the Dongfeng-Tongji cohort study.Clinical epigenetics · 2026Article
- Genome-wide DNA methylation profiling reveals body mass Index-dependent epigenetic signatures associated with lung cancer susceptibility.BMC cancer · 2026Article
- Genetic influences on the association between DNA methylation and obesity measures: insights from a twin study design.Cell & bioscience · 2025Article
- A functional methylation signature to predict the prognosis of Chinese lung adenocarcinoma based on TCGA.Cancer medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody mass index (BMI) has been reported to be inversely associated with incident risk of non-small cell lung cancer (NSCLC). However, the underlying mechanism is still unclear. This study aimed to investigate the role of DNA methylation in the relationship between BMI and NSCLC.
methodsWe carried out a genome-wide DNA methylation study of BMI in peripheral blood among 2266 Chinese participants by using Illumina Methylation arrays. For the BMI-related DNA methylation changes, their associations with NSCLC risk were further analyzed and their mediation effects on BMI-NSCLC association were also evaluated.
resultsThe methylation levels of four CpGs (cg12593793, cg17061862, cg11024682, and cg06500161, annotated to LMNA, ZNF143, SREBF1, and ABCG1, respectively) were found to be significantly associated with BMI. Methylation levels of cg12593793, cg11024682, and cg06500161 were observed to be inversely associated with NSCLC risk [OR (95%CI) =0.22 (0.16, 0.31), 0.39 (0.30, 0.50), and 0.66 (0.53, 0.82), respectively]. Additionally, cg11024682 in SREBF1 and cg06500161 in ABCG1 mediated 45.3% and 19.5% of the association between BMI and decreased NSCLC risk, respectively.
conclusionsIn this study, we identified four DNA methylation sites associated with BMI in the Chinese populations at the genome-wide significant level. We also found that the BMI-related methylations of SREBF1 and ABCG1 could mediate about a quintile-to-half of the effect of BMI on reduced NSCLC risk, which adds a potential mechanism underlying this association.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.