SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014
DNA repair gene ERCC1 polymorphisms may contribute to the risk of glioma.
Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Association between common polymorphisms in ERCC gene and glioma risk: A meta-analysis of 15 studies.Medicine · 2017Pooled it
- A Comprehensive Analysis of Influence ERCC Polymorphisms Confer on the Development of Brain Tumors.Molecular neurobiology · 2016Pooled it
- Review
- Clinical Perspectives of ERCC1 in Bladder Cancer.International journal of molecular sciences · 2020Review
- Nervous System and Intracranial Tumour Incidence by Ethnicity in England, 2001-2007: A Descriptive Epidemiological Study.PloS one · 2016Article
- Association between interleukin 8-251 T/A and +781 C/T polymorphisms and glioma risk.Diagnostic pathology · 2015Article
- DNA repair gene ERCC1 polymorphisms and glioma susceptibility among Chinese population: a meta-analysis.International journal of clinical and experimental medicine · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polymorphisms in excision repair cross-complementing rodent repair deficiency complementation group 1 (ERCC1) gene have been shown to affect individual susceptibility to glioma, though studies have yielded conflicting results. This meta-analysis aims to derive a more precise estimation of the association between ERCC1 C8092A and C118T polymorphisms and glioma risk. A literature search of PubMed, Embase, Web of Science, Cochrane Library, and CBM databases was conducted to identify all eligible studies published before August 5, 2013. Crude odds ratios (ORs) with their corresponding confidence intervals (95% CIs) were used to assess the strength of this association. A meta-analysis was performed by reviewing seven studies on the C8092A polymorphism (2,978 cases and 4,051 controls) and four studies on the C118T polymorphism (1,390 Asian cases and 1,546 Asian controls). Pooled analysis yielded a significant association between the C8092A variant genotype and increased risk of glioma. As for ethnicity, the A allele was associated with increased risk of glioma in Asians, while no similar finding was observed in Caucasians. Stratified analyses by histological subtype indicated that the C8092A polymorphism showed a significant association with the risk of non-glioblastoma multiforme. For the C118T polymorphism, increased glioma susceptibility was also observed among Asians. Taken together, results from our meta-analysis support the view that common variants in ERCC1 may contribute to susceptibility to glioma, especially in Asians. However, further studies investigating the significance of these two polymorphisms as markers of susceptibility to and disease progression of glioma are still needed.
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Registered trials
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.