Evidence map›Paper›PMID 28383694›Full record

SynthesisAnnals of oncology : official journal of the European Society for Medical Oncology2017

Genetic variations in cancer-related significantly mutated genes and lung cancer susceptibility.

Y Zhang, L Zhang, R Li, D W Chang, Y Ye, J D Minna, J A Roth, B Han, X Wu

Open access · greenAbstract readMeta-AnalysisValidation Study
In one paragraph

Synthesis in Annals of oncology : official journal of the European Society for Medical Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Y ZhangDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, USA.
L ZhangDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, USA.
R LiDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, USA.
D W ChangDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, USA.
Y YeDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, USA.
J D MinnaHarmon Center for Therapeutic Oncology, University of Texas Southwestern Medical Center, Dallas.
J A RothDepartment of Thoracic & Cardiovascular Surgery, University of Texas MD Anderson Cancer Center, Houston, USA.
B HanDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
X WuDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, USA.
The University of Texas MD Anderson Cancer Center · USShanghai Jiao Tong University · CNThe University of Texas Southwestern Medical Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
Epigenetic miRNA, SNP Signatures, and their Functions in Lung Cancer OutcomesR01CA176568 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GU, JIAN, ROTH, JACK · 2014 to 2018
$2.5M
NCI NIH HHS P50 CA070907NCI NIH HHS R01 CA176568
6 · The paper itself

Abstract

backgroundCancer initiation and development are driven by key mutations in driver genes. Applying high-throughput sequencing technologies and bioinformatic analyses, The Cancer Genome Atlas (TCGA) project has identified panels of somatic mutations that contributed to the etiology of various cancers. However, there are few studies investigating the germline genetic variations in these significantly mutated genes (SMGs) and lung cancer susceptibility. PATIENTS AND

methodsWe comprehensively evaluated 1655 tagged single nucleotide polymorphisms (SNPs) located in 127 SMGs identified by TCGA, and test their association with lung cancer risk in large-scale case-control study. Functional effect of the validated SNPs, gene mutation frequency and pathways were analyzed.

resultsWe found 11 SNPs in 8 genes showed consistent association (P < 0.1) and 8 SNPs significantly associated with lung cancer risk (P < 0.05) in both discovery and validation phases. The most significant association was rs10412613 in PPP2R1A, with the minor G allele associated with a decreased risk of lung cancer [odds ratio = 0.91, 95% confidence interval (CI): 0.87-0.96, P = 2.3 × 10-4]. Cumulative analysis of risk score built as a weight sum of the 11 SNPs showed consistently elevated risk with increasing risk score (P for trend = 9.5 × 10-9). In stratified analyses, the association of PPP2R1A:rs10412613 and lung cancer risk appeared stronger among population of younger age at diagnosis and never smokers. The expression quantitative trait loci analysis indicated that rs10412613, rs10804682, rs635469 and rs6742399 genotypes significantly correlated with the expression of PPP2R1A, ATR, SETBP1 and ERBB4, respectively. From TCGA data, expression of the identified genes was significantly different in lung tumors compared with normal tissues, and the genes' highest mutation frequency was found in lung cancers. Integrative pathway analysis indicated the identified genes were mainly involved in AKT/NF-κB regulatory pathway suggesting the underlying biological processes.

conclusionThis study revealed novel genetic variants in SMGs associated with lung cancer risk, which might contribute to elucidating the biological network involved in lung cancer development.

Indexed as

MutationPolymorphism, Single NucleotideAgedBiomarkers, TumorCase-Control StudiesCell Transformation, NeoplasticChi-Square DistributionFemaleGene FrequencyGene Regulatory NetworksGenetic Association StudiesGenetic Predisposition to DiseaseHumansLogistic ModelsLung NeoplasmsMaleBiomarkers, TumoreQTLlung cancerpathway analysissignificantly mutated genestagSNPTCGA

Identifiers

PMID28383694
PMCPMC5834153
OpenAlexW2604401553

What OpenQuestion holds

Textmetadata
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.