Evidence map›Paper›PMID 25592173›Full record

ArticleScientific reports2015

Systematical analyses of variants in CTCF-binding sites identified a novel lung cancer susceptibility locus among Chinese population.

Juncheng Dai, Meng Zhu, Cheng Wang, Wei Shen, Wen Zhou, Jie Sun, Jia Liu, Guangfu Jin, Hongxia Ma, Zhibin Hu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 18 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

12 authors at 2 institutions in 1 country.

Juncheng Dai1] Department of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China [2] Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Meng ZhuDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Cheng WangDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Wei ShenDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Wen ZhouDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jie SunDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jia LiuDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Guangfu Jin1] Department of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China [2] Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Hongxia Ma1] Department of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China [2] Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Zhibin Hu1] Department of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China [2] Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China [3] State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Dongxin LinState Key Laboratory of Molecular Oncology and Department of Etiology and Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Hongbing Shen1] Department of Epidemiology and Biostatistics and Ministry of Education (MOE), Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China [2] Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China [3] State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China.
Nanjing Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies identified genetic susceptibility variants mostly lie outside of protein-coding regions. It suggested variants located at transcriptional regulatory region should play an important role in cancer carcinogenesis including lung cancer. In the present study, we systematically investigated the associations between the variants in the binding sites of an extensive transcription factor CTCF and lung cancer risk in Chinese population. A two-stage case-control design was conducted to evaluate the variants located at the uniform CTCF ChIP-seq peaks in a Chinese population (2,331 vs 3,077; 1,115 vs 1,346). The ChIP-seq data for CTCF, specified on lung cancer cell line A549, were downloaded from ENCODE database. Imputation was performed to increase the genome coverage in the CTCF binding regions. Three variants in CTCF binding sites were found to associate with lung cancer risk in the first stage. Further replication revealed a novel single nucleotide polymorphism rs60507107 was significantly associated with increased risk of lung cancer in two stages (Additive model: OR = 1.19, 95%CI = 1.11-1.27, P = 6.98 × 10(-7)). Our results indicate that rs60507107 in the binding site of CTCF is associated with an increased risk of lung cancer. This may further advance our understanding of regulatory DNA sequences in cancer development.

Indexed as

Asian PeopleBinding SitesCase-Control StudiesCCCTC-Binding FactorCell Line, TumorChinaChromatin ImmunoprecipitationDatabases, GeneticFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLung NeoplasmsMaleMiddle AgedCCCTC-Binding FactorCTCF protein, humanRepressor Proteins

Identifiers

PMID25592173
PMCPMC4296290
OpenAlexW2059343444

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.