Evidence map›Paper›PMID 25147431›Full record

ReviewMediators of inflammation2014

Interleukin-17 gene polymorphisms contribute to cancer risk.

Yu-Ming Niu, Hua Yuan, Yu Zhou

Abstract readReview
In one paragraph

Review in Mediators of inflammation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  8. 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

3 authors.

Yu-Ming NiuDepartment of Stomatology and Evidence-Based Medicine Center, Taihe Hospital, Hubei University of Medicine, 32 South Renmin Road, Shiyan 442000, China.
Hua YuanInstitute of Stomatology, Nanjing Medical University, No. 140 Hanzhong Road, Nanjing 210029, China.
Yu ZhouDepartment of Maxillofacial Surgery, Provincial Hospital Affiliated to Anhui Medical University, Hefei 232001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies have suggested that interleukin-17 (IL-17) polymorphisms are associated with cancer risk. However, the results of these studies are inconsistent. Therefore, we performed a meta-analysis to obtain a precise conclusion. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the association of the IL-17A rs2275913G>A and IL-17F rs763780T>C polymorphisms with cancer risk. Publication bias and sensitivity analyses were performed to ensure the statistical power. Overall, 10 relevant case-control studies involving 4,516 cases and 5,645 controls were included. The pooled ORs with 95% CIs indicated that the IL-17A rs2275913G>A polymorphism was significantly associated with increased cancer risk (for A versus G: OR = 1.28, 95% CI: 1.16-1.41, P < 0.001, I (2) = 61.1%; for GA versus GG: OR = 1.12, 95% CI: 1.02-1.23, P = 0.015, I (2) = 27.8%; for AA versus GG: OR = 1.71, 95% CI: 1.38-2.41, P < 0.001, I (2) = 69.6%; for GA + AA versus GG: OR = 1.23, 95% CI: 1.13-1.34, P < 0.001, I (2) = 6.4%; for AA versus GG + GA: OR = 1.62, 95% CI: 1.27-2.07, P < 0.001, I (2) = 81.4%). Succeeding analysis of HWE and stratified analysis of gastric cancer and the Asian (and Chinese) population revealed similar results. The IL-17F rs763780T>C polymorphism was also significantly associated with gastric cancer development. Overall, the present meta-analysis suggests that IL-17 polymorphisms increase the risk of developing cancer, particularly gastric cancer, in the Asian (and Chinese) population.

Indexed as

Asian PeopleGenetic Predisposition to DiseaseHumansInterleukin-17NeoplasmsPolymorphism, GeneticStomach NeoplasmsInterleukin-17

Identifiers

PMID25147431
PMCPMC4131465

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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.