Evidence map›Paper›PMID 26221256›Full record

ArticleInternational journal of clinical and experimental medicine2015

Current evidence on the relationship between two common polymorphisms in NPAS2 gene and cancer risk.

Bi Wang, Zhi-Ming Dai, Yang Zhao, Xi-Jing Wang, Hua-Feng Kang, Xiao-Bin Ma, Shuai Lin, Meng Wang, Peng-Tao Yang, Zhi-Jun Dai

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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. A polymorphic GGC repeat in the NPAS2 gene and its association with melanoma.Experimental biology and medicine (Maywood, N.J.) · 2017
    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

10 authors.

Bi WangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China ; Department of Science and Technology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Zhi-Ming DaiDepartment of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Yang ZhaoDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Xi-Jing WangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Hua-Feng KangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Xiao-Bin MaDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Shuai LinDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Meng WangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Peng-Tao YangDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.
Zhi-Jun DaiDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between neuronal PAS domain protein 2 (NPAS2) gene polymorphisms and cancer risk has been widely investigated. However, the results are conflicting. We performed this meta-analysis to derive a more precise estimation on the relationship. We searched Pubmed, and Web of Knowledge databases until Dec, 2014 to identify eligible studies. Case-control studies containing available genotype frequencies of the NPAS2 polymorphisms were chosen. The odds ratios (ORs) with 95% confidence interval (CI) were used to assess the strength of association. Eight independent case-control studies with 3,857 cancer patients and 4,525 cancer-free controls were selected for this meta-analysis. Two NPAS2 gene polymorphisms were identified (rs2305160 and rs17024926). The results showed statistically significant associations of rs2305160 with cancer risk (AA+GA vs. GG: OR = 0.84, 95% CI = 0.72-0.98, P = 0.02; AG vs. GG: OR = 0.81, 95% CI = 0.68-0.96, P = 0.02). Stratified analysis by cancer type indicated that rs2305160 may decrease the risk of breast cancer (A vs. G: OR = 0.87, 95% CI = 0.76-0.96, P = 0.006; AA+GA vs. GG: OR = 0.77, 95% CI = 0.67-0.88, P<0.001; AG vs. GG: OR = 0.74, 95% CI = 0.64-0.86, P<0.001), whereas negative results were obtained for prostate cancer. For rs17024926 polymorphism, there was no significant association in any genetic model. This meta-analysis suggests that NPAS2 rs2305160 polymorphism may reduce cancer susceptibility, especially in breast cancer.

Indexed as

cancer riskmeta-analysisNPAS2polymorphism

Identifiers

PMID26221256
PMCPMC4509201

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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.