Evidence map›Paper›PMID 34008478›Full record

ArticleEpigenetics2022

Epigenome-wide scan identifies differentially methylated regions for lung cancer using pre-diagnostic peripheral blood.

Naisi Zhao, Mengyuan Ruan, Devin C Koestler, Jiayun Lu, Carmen J Marsit, Karl T Kelsey, Elizabeth A Platz, Dominique S Michaud

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Blood Leukocyte DNA Methylation Markers of Periodontal Disease and Risk of Lung Cancer in a Case-Control Study Nested in the CLUE II Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  7. Article
  8. Biallelic variants in Plexin B2 (Journal of medical genetics · 2024
    Article
  9. Review
  10. Article
  11. Blood LeukocyteCancer research communications · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Association BetweenCancer management and research · 2021
    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

8 authors at 5 institutions in 1 country.

Naisi ZhaoDepartment of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA.ORCID 0000-0002-0517-0709
Mengyuan RuanDepartment of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA.ORCID 0000-0001-7555-8963
Devin C KoestlerDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0002-0598-0146
Jiayun LuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Carmen J MarsitDepartment of Environmental Health and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0003-4566-150X
Karl T KelseyDepartment of Epidemiology, Brown University, Providence, RI, USA.
Elizabeth A PlatzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Dominique S MichaudDepartment of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA.ORCID 0000-0002-8107-3011
Tufts University · USJohns Hopkins University · USBrown University · USEmory University · USThe University of Kansas Cancer Center · US

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Diane E Mahoney · 2019 to 2026
$21.5M
NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

backgroundDNA methylation markers have been associated with lung cancer risk and may identify aetiologically relevant genomic regions, or alternatively, be markers of disease risk factors or biological processes associated with disease development.

methodsIn a nested case-control study, we measured blood leukocyte DNA methylation levels in pre-diagnostic samples collected from 430 participants (208 cases; 222 controls) in the 1989 CLUE II cohort. We compared DNA methylation levels with case/control status to identify novel genomic regions, both single CpG sites and differentially methylated regions (DMRs), while controlling for known DNA methylation changes associated with smoking using a previously described pack-years-based smoking methylation score. Stratification analyses were conducted over time from blood draw to diagnosis, histology, and smoking status.

resultsWe identified 16 single CpG sites and 40 DMRs significantly associated with lung cancer risk (q < 0.05). The identified genomic regions were associated with genes including H19, HOXA3/HOXA4, RUNX3, BRICD5, PLXNB2, and RP13. For the single CpG sites, the strongest association was noted for cg09736286 in the DIABLO gene (OR [for 1 SD] = 2.99, 95% CI: 1.95-4.59, P-value = 4.81 × 10-7). We found that CpG sites in the HOXA3/HOXA4 region were hypermethylated in cases compared to controls.

conclusionThe single CpG sites and DMRs that we identified represented significant measurable differences in lung cancer risk, providing potential biomarkers for lung cancer risk stratification. Future studies will need to examine whether these regions are causally related to lung cancer.

Indexed as

EpigenomeLung NeoplasmsCase-Control StudiesCpG IslandsDNA MethylationEpigenesis, GeneticGenome-Wide Association StudyHumansbloodDNA methylationepigenome-wide association study (EWAS)Illumina MethylationEPIC arrayLung cancer

Identifiers

PMID34008478
PMCPMC8993104
OpenAlexW3162976064

What Socratic holds

Textmetadata
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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 Socratic graph.