Evidence map›Paper›PMID 22613842›Full record

ArticleGenome research2012

Genome-scale analysis of DNA methylation in lung adenocarcinoma and integration with mRNA expression.

Suhaida A Selamat, Brian S Chung, Luc Girard, Wei Zhang, Ying Zhang, Mihaela Campan, Kimberly D Siegmund, Michael N Koss, Jeffrey A Hagen, Wan L Lam and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 352 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
352citing papers in PubMed, 1 pooled it
–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

352 citing papers in PubMed, 1 synthesis or guideline pooled it, 532 citations in OpenAlex.

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292 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

Suhaida A SelamatDepartment of Surgery, Department of Biochemistry and Molecular Biology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089-9176, USA.
Brian S Chung
Luc Girard
Wei Zhang
Ying Zhang
Mihaela Campan
Kimberly D Siegmund
Michael N Koss
Jeffrey A Hagen
Wan L Lam
Stephen Lam
Adi F Gazdar
Ite A Laird-Offringa
University of Southern California · USThe University of Texas Southwestern Medical Center · USBC Cancer Agency · CA

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
SAN ANTONIO CENTER OF BIOMARKERS OF RISK FOR PROSTATE CAU01CA086402 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEACH, ROBIN JEAN, THOMPSON, IAN M. · 2000 to 2018
$33.1M
Development of DNA Methylation Markers for Early Detection of Lung CancerR01CA119029 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI OFFRINGA, ITE A · 2006 to 2010
$1.6M
DNA Methylation Changes During Development and Progression of Lung AdenocarcinomaR01CA120869 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI OFFRINGA, ITE A · 2007 to 2011
$1.5M
NCI NIH HHS 5 P30CA014089NCI NIH HHS CA120869NCI NIH HHS P30 CA014089NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA119029NCI NIH HHS R01 CA120869NCI NIH HHS U01 CA086402
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer death worldwide, and adenocarcinoma is its most common histological subtype. Clinical and molecular evidence indicates that lung adenocarcinoma is a heterogeneous disease, which has important implications for treatment. Here we performed genome-scale DNA methylation profiling using the Illumina Infinium HumanMethylation27 platform on 59 matched lung adenocarcinoma/non-tumor lung pairs, with genome-scale verification on an independent set of tissues. We identified 766 genes showing altered DNA methylation between tumors and non-tumor lung. By integrating DNA methylation and mRNA expression data, we identified 164 hypermethylated genes showing concurrent down-regulation, and 57 hypomethylated genes showing increased expression. Integrated pathways analysis indicates that these genes are involved in cell differentiation, epithelial to mesenchymal transition, RAS and WNT signaling pathways, and cell cycle regulation, among others. Comparison of DNA methylation profiles between lung adenocarcinomas of current and never-smokers showed modest differences, identifying only LGALS4 as significantly hypermethylated and down-regulated in smokers. LGALS4, encoding a galactoside-binding protein involved in cell-cell and cell-matrix interactions, was recently shown to be a tumor suppressor in colorectal cancer. Unsupervised analysis of the DNA methylation data identified two tumor subgroups, one of which showed increased DNA methylation and was significantly associated with KRAS mutation and to a lesser extent, with smoking. Our analysis lays the groundwork for further molecular studies of lung adenocarcinoma by identifying novel epigenetically deregulated genes potentially involved in lung adenocarcinoma development/progression, and by describing an epigenetic subgroup of lung adenocarcinoma associated with characteristic molecular alterations.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticAdenocarcinomaAdenocarcinoma of LungAdultAgedAged, 80 and overCase-Control StudiesCell DifferentiationEpigenesis, GeneticEpithelial-Mesenchymal TransitionFemaleGalectin 4Gene Expression ProfilingGenes, NeoplasmGenome, HumanGalectin 4KRAS protein, humanLGALS4 protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsRNA, Messenger

Identifiers

PMID22613842
PMCPMC3396362
OpenAlexW2099755355

What OpenQuestion holds

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LicenceCC BY-NC
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.