Evidence map›Paper›PMID 28968839›Full record

ArticleCarcinogenesis2017

Polymorphisms in genes related to epithelial-mesenchymal transition and risk of non-small cell lung cancer.

Kunlin Xie, Yuanqing Ye, Yong Zeng, Jian Gu, Hushan Yang, Xifeng Wu

Open access · bronzeAbstract read
In one paragraph

Article in Carcinogenesis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  5. Review
  6. The Emerging Role of Adhesion GPCRs in Cancer.ACS pharmacology & translational science · 2020
    Review
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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

6 authors at 3 institutions in 2 countries.

Kunlin XieDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yuanqing YeDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yong ZengDepartment of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Jian GuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Hushan YangDepartment of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USSichuan University · CNThomas Jefferson University · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 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

The epithelial-mesenchymal transition (EMT) process is a crucial step for tumor invasion and metastasis. Previous research investigating EMT has mostly focused on its role in cancer progression. Recent studies showed that EMT and EMT-driving transcription factor (EMT-TF) expression are early events in lung cancer pathogenesis, implying a potential association between EMT and lung cancer risk. In this study, we examined whether genetic variants in EMT-related genes are associated with risk of non-small cell lung cancer (NSCLC). We used data from a genome-wide association study of 1482 NSCLC cases and 1544 healthy controls as the discovery phase, in which we analyzed 1602 single-nucleotide polymorphisms (SNPs) within 159 EMT-related genes. We then validated the significant SNPs in another 5699 cases and 5815 controls from the National Cancer Institute lung cancer genome-wide association study. Cumulative effects were evaluated for validated SNPs, and a gene-based test was performed to explore gene-level association with disease risk. In the discovery phase, 174 SNPs demonstrated significant associations with NSCLC risk. In the validation phase, seven SNPs mapped to EGFR, NOTCH3, ADGRF1 and SMAD3 were confirmed. Cumulative effect analysis of the significant SNPs demonstrated increasing risk with the number of unfavorable genotypes in the discovery and validation datasets. Gene-based analysis implicated ADGRF1, NOTCH3 and CDH1 as significant for NSCLC risk. Functional prediction revealed several potential mechanisms underlying these associations. Our results suggest that EMT-related gene variants may be involved in susceptibility to NSCLC; if confirmed, they might help identify higher-risk individuals.

Indexed as

Polymorphism, Single NucleotideAntigens, CDCadherinsCarcinoma, Non-Small-Cell LungCase-Control StudiesComputer SimulationEpithelial-Mesenchymal TransitionErbB ReceptorsFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedOncogene ProteinsADGRF1 protein, humanAntigens, CDCadherinsCDH1 protein, humanEGFR protein, humanErbB ReceptorsNOTCH3 protein, humanOncogene ProteinsReceptor, Notch3Receptors, G-Protein-CoupledSmad3 ProteinSMAD3 protein, human

Identifiers

PMID28968839
PMCPMC5862248
OpenAlexW2750156300

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.