Evidence map›Paper›PMID 26063618›Full record

SynthesisMolecular genetics and genomics : MGG2015

Association between STAT3 polymorphisms and cancer risk: a meta-analysis.

Ruicheng Yan, Fusheng Lin, Chao Hu, Shilun Tong

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Prognostic Impact of IL6 Genetic Variants in Patients with Metastatic Colorectal Cancer Treated with Bevacizumab-Based Chemotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Trial
  2. In silico prediction of deleterious non-synonymous SNPs inAsian biomedicine : research, reviews and news · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Association betweenMolecular biology research communications · 2018
    Article
  8. 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.

Ruicheng YanDepartment of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, People's Republic of China. hunteryrc@163.com.
Fusheng LinDepartment of General Surgery, Zhongshan Hospital of Xiamen University, Xiamen, 361004, Fujian Province, People's Republic of China.
Chao HuDepartment of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, People's Republic of China.
Shilun TongDepartment of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, People's Republic of China.
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Five polymorphisms, rs2293152, rs4796793, rs12949918, rs6503695, rs744166, in the STAT3 gene have been implicated in susceptibility to cancer, but the results were inconclusive. The aim of this meta-analysis is to investigate the association between the five polymorphisms and cancer risk. All eligible case-control studies published up to March 2015 were identified by searching PubMed, Web of Science, Wanfang, VIP, and CNKI. Effect sizes of odds ratio (OR) and 95 % confidence interval (95 % CI) were calculated by using a fixed- or random-effect model. A total of 15 articles were included. Overall, a significantly decreased risk was found for rs12949918 polymorphism (dominant model: OR = 0.83, 95 % CI: 0.75-0.91, recessive model: OR = 0.77, 95 % CI: 0.68-0.87, TC vs. TT: OR = 0.87, 95 % CI: 0.79-0.96, CC vs. TT: OR = 0.71, 95 % CI: 0.62-0.81), and for rs744166 polymorphism (recessive model: OR = 0.75, 95 % CI: 0.58-0.98; GG vs. AA: OR = 0.68, 95 % CI: 0.51-0.90), while there was no significant association for other three polymorphisms under all genetic models. In subgroup analysis by ethnicity, for rs12949918 polymorphism, similar results were detected among Caucasians, similarly, a significant decreased risk was observed in Asians under dominant and CC vs. TT model; for rs2293152 polymorphism, significant association was detected among Asians under recessive model. This meta-analysis suggests that the STAT3 rs12949918 and rs744166 polymorphisms, but not other three polymorphisms, may be an important protective factor for cancer.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticGenetic HeterogeneityHumansNeoplasmsSTAT3 Transcription FactorSTAT3 protein, humanSTAT3 Transcription FactorCancerMeta-analysisPolymorphismSTAT3

Identifiers

PMID26063618
OpenAlexW1902124454

What OpenQuestion holds

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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.