Evidence map›Paper›PMID 27805284›Full record

SynthesisMolecular carcinogenesis2017

Susceptibility loci of CNOT6 in the general mRNA degradation pathway and lung cancer risk-A re-analysis of eight GWASs.

Fei Zhou, Yanru Wang, Hongliang Liu, Neal Ready, Younghun Han, Rayjean J Hung, Yonathan Brhane, John McLaughlin, Paul Brennan, Heike Bickeböller and 14 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular carcinogenesis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Polymorphisms ofJournal of Cancer · 2017
    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

24 authors at 16 institutions in 7 countries.

Fei ZhouDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Yanru WangDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Neal ReadyDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Younghun HanCommunity and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Rayjean J HungLunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada.
Yonathan BrhaneLunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada.
John McLaughlinPublic Health Ontario, Toronto, Ontario, Canada.
Paul BrennanGenetic Epidemiology Group, International Agency for Research on Cancer (IARC), Lyon, France.
Heike BickeböllerDepartment of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Göttingen, Germany.
Albert RosenbergerDepartment of Genetic Epidemiology, University Medical Center, Georg-August-University, Göttingen, Göttingen, Germany.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Neil CaporasoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Maria Teresa LandiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Irene BrüskeHelmholtz Centre Munich, German Research Centre for Environmental Health, Institute of Epidemiology I, Neuherberg, Germany.
Angela RischDepartment of Molecular Biology, University of Salzburg, Salzburg, Austria.
Yuanqing YeDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
David C ChristianiMassachusetts General Hospital, Boston, Massachusetts.
Gary GoodmanDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Chu ChenDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Transdisciplinary Research in Cancer of the Lung (TRICL) Research Team
Christopher I AmosCommunity and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Dartmouth College · USDuke Medical Center · USDuke University · USMount Sinai Hospital · CANational Institutes of Health · USThe University of Texas MD Anderson Cancer Center · USUniversity of Göttingen · DECentre International de Recherche sur le Cancer · FRFred Hutch Cancer Center · USHelmholtz Zentrum München · DEInstitute of Cancer Research · GBMassachusetts General Hospital · USPublic Health Ontario · CAShanghai Jiao Tong University · CNSwedish Medical Center · USUniversity of Salzburg · AT

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
THE CAROTENE AND RETINOL EFFICACY TRIAL (CARET)U01CA063673 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOODMAN, GARY E · 1994 to 2006
$13.0M
Translational studies of Hsp90 inhibitors in NSCLCP50CA090578 · NCI · DANA-FARBER CANCER INST · PI JOHNSON, BRUCE D · 2008 to 2012
$11.4M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
Genes contributing to nicotine dependence in humansR01DA017932 · NIDA · DECODE GENETICS, INC. · PI STEFANSSON, KARI · 2005 to 2015
$9.6M
PROSTATE, LUNG, COLORECTAL, &OVARIAN CANCER SCREENINGN01CN025476 · CN · WESTAT, INC. · PI O'BRIEN, BARBARA B · 1992 to 2000
$7.9M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
Molecular and Genetic Analysis of Lung Cancer SurvivalR01CA092824 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2002 to 2013
$5.9M
Cancer Research UK C1298/A8362Cancer Research UK C1298/A8780CCR NIH HHS N01 RC037004NCI NIH HHS K07 CA160753NCI NIH HHS N01 CN025404NCI NIH HHS N01 CN025476NCI NIH HHS N01 CN025511NCI NIH HHS N01 CN025512NCI NIH HHS N01 CN025513NCI NIH HHS N01 CN025514NCI NIH HHS N01 CN025515NCI NIH HHS N01 CN025516NCI NIH HHS N01 CN025518NCI NIH HHS N01 CN025522NCI NIH HHS N01 CN025524NCI NIH HHS N01 CN045165NCI NIH HHS N01 CN075022NCI NIH HHS P20 CA090578NCI NIH HHS P30 CA014236NCI NIH HHS P30 CA023108NCI NIH HHS P50 CA070907NCI NIH HHS P50 CA090578NCI NIH HHS R01 CA055769NCI NIH HHS R01 CA074386NCI NIH HHS R01 CA092039NCI NIH HHS R01 CA092824NCI NIH HHS R01 CA111703NCI NIH HHS R01 CA121197NCI NIH HHS R01 CA127219NCI NIH HHS R01 CA133996NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA063673NCI NIH HHS U01 CA167462NCI NIH HHS U19 CA148127NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NIDA NIH HHS R01 DA017932Wellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

purposemRNA degradation is an important regulatory step for controlling gene expression and cell functions. Genetic abnormalities involved in mRNA degradation genes were found to be associated with cancer risks. Therefore, we systematically investigated the roles of genetic variants in the general mRNA degradation pathway in lung cancer risk. EXPERIMENTAL

designMeta-analyses were conducted using summary data from six lung cancer genome-wide association studies (GWASs) from the Transdisciplinary Research in Cancer of the Lung and additional two GWASs from Harvard University and deCODE in the International Lung Cancer Consortium. Expression quantitative trait loci analysis (eQTL) was used for in silico functional validation of the identified significant susceptibility loci.

resultsThis pathway-based analysis included 6816 single nucleotide polymorphisms (SNP) in 68 genes in 14 463 lung cancer cases and 44 188 controls. In the single-locus analysis, we found that 20 SNPs were associated with lung cancer risk with a false discovery rate threshold of <0.05. Among the 11 newly identified SNPs in CNOT6, which were in high linkage disequilibrium, the rs2453176 with a RegulomDB score "1f" was chosen as the tagSNP for further analysis. We found that the rs2453176 T allele was significantly associated with lung cancer risk (odds ratio = 1.11, 95% confidence interval = 1.04-1.18) in the eight GWASs. In the eQTL analysis, we found that levels of CNOT6 mRNA expression were significantly correlated with the rs2453176 T allele, which provided additional biological basis for the observed positive association.

conclusionThe CNOT6 rs2453176 SNP may be a new functional susceptible locus for lung cancer risk. © 2016 Wiley Periodicals, Inc.

Indexed as

Polymorphism, Single NucleotideRNA StabilityExoribonucleasesGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumLungLung NeoplasmsQuantitative Trait LociRNA, MessengercNOT6 protein, humanExoribonucleasesRNA, Messengerlung cancer riskmolecular epidemiologypathway analysis

Identifiers

PMID27805284
PMCPMC5354966
OpenAlexW2546852662

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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.