Evidence map›Paper›PMID 27154632›Full record

ArticleJournal of clinical laboratory analysis2016

Case-Control Study on Impact of the Telomerase Reverse Transcriptase Gene Polymorphism and Additional Single Nucleotide Polymorphism (SNP)- SNP Interaction on Non-Small Cell Lung Cancers Risk in Chinese Han Population.

Yan-Li Xing, Feng Liu, Jian-Feng Li, Jian-Cong Lin, Guo-Dong Zhu, Ming Li, Chang-Ran Zhang, Yuan-Yuan Niu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 7 pooled it
1.0field-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

14 citing papers in PubMed, 7 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Article
  10. [Clinical Application and Challenges of Telomere and Telomerase Research 
in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021
    Review
  11. Article
  12. Article
  13. Oncotarget · 2017
    Article
  14. 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

8 authors at 5 institutions in 1 country.

Yan-Li XingDepartment of Internal Medicine, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Feng LiuDepartment of Senile Disease, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Jian-Feng LiDepartment of Radiation Oncology, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Jian-Cong LinDepartment of Internal Medicine, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Guo-Dong ZhuDepartment of Senile Disease, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Ming LiDepartment of Internal Medicine, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chang-Ran ZhangDepartment of Internal Medicine, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuan-Yuan NiuDepartment of Internal Medicine, The Eastern Hospital of the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. niummxp216@163.com.
Sun Yat-sen University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangzhou First People's Hospital · CNGuangzhou Medical University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate the impact of telomerase reverse transcriptase (TERT) gene polymorphism and additional SNP-SNP interaction on non-small cell lung cancer (NSCLC) risk in Chinese population.

methodsA total of 828 participants (526 males, 302 females), with a mean age of 71.3 ± 15.7 years old, were selected, including 410 NSCLC patients and 418 normal participants. Logistic regression was performed to investigate association between single nucleotide polymorphism (SNP) and NSCLC risk. Generalized multifactor dimensionality reduction (GMDR) was used to analysis the interaction among four SNPs.

resultsNon-small cell lung cancer risk was significantly higher in carriers of G allele of the rs2736100 polymorphism than those with TT (TG + GG vs. TT, adjusted OR (95%CI = 1.68 (1.28-2.07). In addition, we also found that NSCLC risk was also significantly higher in carriers of A allele of the rs2736098 polymorphism than those with GG (GA + AA vs. GG, adjusted OR (95%CI) = 1.52 (1.19-1.93). GMDR analysis indicated that there was a significant two-locus model (P = 0.0100) involving rs2736098 and rs2736100, indicating a potential gene-gene interaction between rs2736098 and rs2736100. Overall, the two-locus models had a cross-validation consistency of 10 of 10, and had the testing accuracy of 62.17%. We found that patients with GA or AA of rs2736098 and TG or GG of rs2736100 genotype have the highest NSCLC risk, compared to patients with GG of rs2736098 and TT of rs2736100 genotype, OR (95%CI) was 2.52 (1.68-3.68), after covariates adjustment.

conclusionsMinor allele of rs2736098 and rs2736100 in TERT gene and interaction between the two SNP were associated with increased risk of NSCLC risk.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCase-Control StudiesChinaFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansLung NeoplasmsMaleMiddle AgedPolymorphism, Single NucleotideTelomeraseinteractionnon-small cell lung cancerpolymorphismsingle nucleotide polymorphismtelomerase reverse transcriptase

Identifiers

PMID27154632
PMCPMC6806728
OpenAlexW2347013069

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.