Evidence map›Paper›PMID 26629137›Full record

ArticleInternational journal of clinical and experimental medicine2015

Genetic polymorphisms and haplotypes of TRAIL gene correlate with NSCLC susceptibility in a group of Chinese patients.

Jun Luo, Jinmeng Xiong, Jianghua Wu, Xujun Ye

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Jun LuoDepartment of Pathology, Zhongnan Hospital of Wuhan University Wuhan 430071, China.
Jinmeng XiongDepartment of Gerontology, Zhongnan Hospital of Wuhan University Wuhan 430071, China.
Jianghua WuDepartment of Gerontology, Zhongnan Hospital of Wuhan University Wuhan 430071, China.
Xujun YeDepartment of Gerontology, Zhongnan Hospital of Wuhan University Wuhan 430071, China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between genetic polymorphisms and haplotypes of TNF-related apoptosis-inducing ligand (TRAIL) and the NSCLC development was investigated in 592 Chinese patients and the prevalence of G1525A, G1588A, and C1595T gene polymorphisms compared between the NSCLC patients and control group in this study. It was found that the frequencies of variant allele A and genotype GA+AA of G1525A were significantly lower and those of variant alleles A and T of G1588A and C1595T significantly higher in the NSCLC patients compared with those in control. The frequencies of variant allele T and genotype CT+TT of C1595T were significantly higher in stage III and IV than in stage I and II of the patients. Moreover, the frequencies of variant allele A and genotype GA+AA of G1525A were significantly higher in stage III and IV than in stage I and II of the patients. In addition, TRAIL gene variants G1525A/G1588A/C1595T were found to be in complete linkage disequilibrium in all patients. Compared with the healthy people, the frequency of AAT haplotype was significantly lower whereas that of GAT haplotype significantly higher in NSCLC patients. The results indicated that the genetic polymorphisms and haplotypes of TRAIL gene correlated significantly with the NSCLC susceptibility in the group of Chinese patients.

Indexed as

correlationgenetic polymorphismhaplotypeNon-small cell lung cancerTNF-related apoptosis-inducing ligand

Identifiers

PMID26629137
PMCPMC4656262
OpenAlexW2423517845

What OpenQuestion holds

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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.