Evidence map›Paper›PMID 24093803›Full record

SynthesisGenetic testing and molecular biomarkers2013

Association of XPC gene polymorphisms with susceptibility to prostate cancer: evidence from 3,936 subjects.

Yan-Feng Zou, Jin-Hui Tao, Qian-Ling Ye, Hai-Feng Pan, Fa-Ming Pan, Hong Su, Dong-Qing Ye

Open access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Genetic testing and molecular biomarkers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Association between APE1 T1349G polymorphism and prostate cancer risk: evidence from a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  3. Review
  4. Review
  5. 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

7 authors at 1 institution in 1 country.

Yan-Feng Zou1 Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University , Hefei, Anhui, China .
Jin-Hui Tao
Qian-Ling Ye
Hai-Feng Pan
Fa-Ming Pan
Hong Su
Dong-Qing Ye
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimPolymorphisms of xeroderma pigmentosum complementation group C (XPC) are thought to have significant effects on prostate cancer (PCa) risk. The aim of our study was to evaluate the impact of XPC gene polymorphisms on PCa risk by using a meta-analysis.

methodsData were collected from the following electronic databases: PubMed, EMBASE, Elsevier Science Direct, Cochrane Library, and CNKI, with the last report up to April 30, 2013. Odds ratios with 95% confidence intervals were used to assess the strength of the association.

resultsA total of five separate case-control studies (1966 cases and 1970 controls) were included in this meta-analysis. Meta-analysis was performed for the rs2228001 and PAT+/-polymorphisms. We did not detect a significant association between rs2228001 polymorphism and PCa (p>0.05). Similar results were found in stratification analyses by ethnicity and tumor stage. We detected a significant association of PAT+/-polymorphism with PCa (p<0.05). In stratification analysis, we did not detect a significant association of PAT+/-polymorphism with risk of bone metastasis in PCa patients (p>0.05).

conclusionThese analyses suggest that XPC gene PAT+/-polymorphism, but not rs2228001, likely contributes to susceptibility to PCa.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticCase-Control StudiesDNA-Binding ProteinsHumansMaleNeoplasm ProteinsProstatic NeoplasmsPubMedRisk FactorsDNA-Binding ProteinsNeoplasm ProteinsXPC protein, human

Identifiers

PMID24093803
PMCPMC3865621
OpenAlexW2045405555

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.