Evidence map›Paper›PMID 25154511›Full record

SynthesisMolecular genetics and genomics : MGG2015

Association between the STK15 polymorphisms and risk of cancer: a meta-analysis.

Jun Qin, Xiao-Feng He, Wu Wei, Zhi-Zhong Liu, Jian-Jun Xie, Wei Wang, Ya-Ping Du, Yu Chen, Hui-Qiang Si

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular genetics and genomics : MGG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

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

  1. Pooled it
  2. Lack of associations betweenBioscience reports · 2018
    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

9 authors at 2 institutions in 1 country.

Jun QinDepartment of General Surgery, Peace Hospital of Changzhi Medical College, Changzhi, 046000, China.
Xiao-Feng He
Wu Wei
Zhi-Zhong Liu
Jian-Jun Xie
Wei Wang
Ya-Ping Du
Yu Chen
Hui-Qiang Si
Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine · CNChangzhi Medical College Peace Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The previous published data on the association between STK15 F31I and V57I polymorphisms and cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between cancer susceptibility and STK15 F31I (42,315 cases and 50,542 controls from 62 studies) and V57I polymorphisms (12,891 cases and 17,391 controls from 18 studies) in different inheritance models. Overall, significant association was observed between F31I and cancer risk when all the eligible studies were pooled into the meta-analysis (recessive model: OR = 1.14, 95 % CI = 1.06-1.24; AA vs. TT: OR = 1.12, 95 % CI = 1.02-1.24; A vs. T: OR = 1.05, 95 % CI = 1.01-1.09). In the further stratified and sensitivity analyses, for STK15 F31I, significantly increased breast cancer (recessive model: OR = 1.16, 95 % CI = 1.02-1.33; AA vs. TT: OR = 1.16, 95 % CI = 1.01-1.33) and ovarian cancer (dominant model: OR = 1.20, 95 % CI = 1.07-1.34; TA vs. TT: OR = 1.19, 95 % CI = 1.06-1.34; A vs. T: OR = 1.15, 95 % CI = 1.05-1.26) risk was found among Caucasians, and significantly decreased lung cancer risk was found among Caucasians (recessive model: OR = 0.65, 95 % CI = 0.49-0.87; AA vs. TT: OR = 0.65, 95 % CI = 0.49-0.88). For V57I polymorphism, significant decreased breast cancer risk was found among Caucasians (recessive model: OR = 0.76, 95 % CI = 0.61-0.95; AA vs. GG: OR = 0.75, 95 % CI = 0.60-0.94; A vs. G: OR = 0.92, 95 % CI = 0.86-0.98). In summary, this meta-analysis suggests that STK15 F31I polymorphism is associated with increased breast cancer and ovarian cancer risk among Caucasians, F31I polymorphism is associated with decreased lung cancer risk among Caucasians, and V57I polymorphism is associated with decreased breast cancer risk among Caucasians.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseasePolymorphism, GeneticAurora Kinase ADatabases as TopicGenetic HeterogeneityHumansModels, GeneticNeoplasmsOdds RatioPublication BiasRisk FactorsAURKA protein, humanAurora Kinase A

Identifiers

PMID25154511
OpenAlexW4233238068

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.