Evidence map›Paper›PMID 26770387›Full record

ArticleInternational journal of clinical and experimental medicine2015

TGF-β1 C-509T and T869C polymorphisms and cancer risk: a meta analysis.

You-You Gu, Huan Wang, Su Wang

Open access · greenAbstract 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
0.6field-weighted citation impact, top 30% 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

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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, 8 citations in OpenAlex.

  1. Pooled it
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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 at 2 institutions in 1 country.

You-You GuDepartment of Endocrinology, The Fifth Central Hospital of Tianjin China.
Huan WangCommunity Health Service Center of Hu Jiayuan StreetBinhai New District, Tianjin, China; Graduate School of Tianjin Medical UniversityChina.
Su WangDepartment of Endocrinology, The Fifth Central Hospital of Tianjin China.
Fifth Tianjin Central Hospital · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledObjective The association between polymorphism of TGF-β1 and cancer risk has been discussed. Method A comprehensive electronic search was performed to identify articles published up until 12 December 2014 in Medline and Embase databases. The statistical analysis was performed by STATA 11.0 software and Review Manager 5.1 software.

resultsIn the present meta analysis, for C-509T (31 studies, 12944 cases and 15530 controls), no significant cancer risk was found in the overall analysis. In subgroup analysis, C-509T polymorphism was associated with decreased cancer risk in Asian population (OR=0.73 and 95% CI=0.59-0.90 for CT vs. CC), and there were no significant risks in gastric cancer, breast cancer, and other cancers. For T869C (11 studies, 2730 cases and 2973 controls), significantly increased risks of cancer were observed, and the ORs (95% CI) were 1.81 (1.18-2.78) for CC vs. TT, 1.50 (1.07-2.09) for TC vs. TT, 1.61 (1.13-2.30) for TC+CC vs. TT and 1.38 (1.11-1.73) for C-allele vs. T-allele, respectively. Subgroup analyses stratified by ethnicity and types of cancer were also performed, and the results indicated that T869C polymorphism was associated with cancer risk in Caucasion [1.93 (1.52-2.46) for TC vs. TT], but not in Asian [1.23 (0.80-1.90) for TC vs. TT]. We also observed that the T869C was associated with increased risk of squamous cell cancer of head and neck (SCCHN) [1.34 (1.07-1.67) for TC vs. TT]. Conclusion Decreased cancer risk association was observed in Asian for C-509T and significantly increased risk of cancer was observed for T869C.

Indexed as

cancermeta-analysispolymorphismTGF-β1

Identifiers

PMID26770387
PMCPMC4694287
OpenAlexW2438687757

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.