ReviewInternational journal of clinical and experimental medicine2015
Association between X-ray repair cross-complementing group 1 gene polymorphisms and glioma risk: a systematic review and meta-analysis based on 22 case-control studies.
Review 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 3 papers, 1 of them a synthesis 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Reappraisal of XRCC1 Arg194Trp polymorphism and glioma risk: a cumulative meta-analysis.Oncotarget · 2017Pooled it
- Disease burden, risk factors, and trends of primary central nervous system (CNS) cancer: A global study of registries data.Neuro-oncology · 2023Article
- Cancers of the brain and CNS: global patterns and trends in incidence.Neuro-oncology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesGlioma is the most common central nervous system tumor. This systematic review and meta-analysis is aimed to systematically assess the association of XRCC1 polymorphisms with the risk of glioma.
methodsSuch databases as EMbase, PubMed, The Cochrane Library, the China National Knowledge Infrastructure (CNKI) platforms, VIP and WanFang were searched up to April 2015 to collect case-control studies of association between XRCC1 polymorphisms and glioma. Data were extracted and meta-analysis was conducted by using Stata 12.0 softwares.
resultsA total of 22 studies were included in the meta-analysis, including 18503 glioma patients and 24367 controls. The overall data indicated that XRCC1 Arg194Trp (C>T) polymorphism significantly increased glioma risk (allele C versus T: OR=0.72, 95% CI=0.55-0.93, CC versus TT: OR=0.55, 95% CI=0.46-0.67; CC versus CT+TT: OR=0.64, 95% CI=0.45-0.91 and CC+CT vs. TT: OR=0.61, 95% CI=0.51-0.74), especially in Asia ethnicity. XRCC1 Arg280His (G>A) polymorphism has no association with glioma (allele G versus A: OR=1.01, 95% CI=0.83-1.22; GG versus AA: OR=1.07, 95% CI=0.66-1.75; GA versus AA: OR=1.01, 95% CI=0.77-1.32; GG versus GA+AA: OR=1.01, 95% CI=0.84-1.22 and GG+GT versus AA: OR=1.06, 95% CI=0.67-1.69). XRCC1 Arg399Gln (G>A) polymorphism will significantly increase glioma risk in Asian (allele G versus A: OR=0.78, 95% CI= 0.72-0.84; GG versus AA: OR=0.56, 95% CI=0.47-0.66; GA versus AA OR=0.71, 95% CI=0.59-0.84; GG versus GA+AA: OR=0.76, 95% CI=0.68-0.84 and GG+GA vs. AA: OR=0.62, 95% CI=0.53-0.73) but not Caucasian ethnicity. XRCC1 Pro161Leu (C>T), Leu387Leu (G>A), Pro602Thr (C>A), Ser593Arg (C>G) and Glu491Lys (G>A) polymorphisms increased glioma risk in different degrees.
conclusionThis meta-analysis suggested that XRCC1 Arg194Trp and XRCC1 Arg399Gln (G>A) polymorphisms led to susceptibility to glioma in Asian but not Caucasian population. XRCC1 Glu491Lys (G>A), Pro161Leu (C>T), Leu387Leu (G>A), Pro602Thr (C>A), Thr304Ala (A>G) and Ser593Arg (C>G) polymorphisms will increase glioma risk. However, XRCC1 Arg280His (G>A) is irrelevant to the increased or decreased glioma risk.
Indexed as
Identifiers
26550099PMC4612784W2190014472What OpenQuestion holds
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.