Evidence map›Paper›PMID 23381646›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2013

A meta-analysis of evidences on XPC polymorphisms and lung cancer susceptibility.

Chuan Liu, Qinghua Yin, Jianbing Hu, Lian Li, Yingyi Zhang, Yajie Wang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 6 pooled it
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 6 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. The Glu298Asp polymorphism in the NOS3 gene and the risk of prostate cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  2. Associations between polymorphisms of the XPC gene and lung cancer susceptibility: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  3. Quantitative assessment of the association between XPC Lys939Gln polymorphism and cutaneous melanoma risk.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
  4. Pooled it
  5. Assessment of the association between XRCC1 Arg399Gln polymorphism and lung cancer in Chinese.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  6. The associations between the polymorphisms of the ER-α gene and the risk of uterine leiomyoma (ULM).Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  7. Note of clarification of data in the meta-analysis of evidences on XPC polymorphisms and lung cancer susceptibility.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  8. Polymorphisms of the XPC gene may contribute to the risk of head and neck cancer: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  9. The present/null polymorphism in the GSTT1 gene and the risk of lung cancer in Chinese population.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Chuan LiuDepartment of Oncology, Changhai Hospital, The Second Military Medical University, 168 Changhai Road, Shanghai, 200433, People's Republic of China. chuanliu2005@163.com
Qinghua Yin
Jianbing Hu
Lian Li
Yingyi Zhang
Yajie Wang
Second Military Medical University · CNYueyang Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Published data regarding the association between the XPC polymorphisms and lung cancer susceptibility remained controversial. This meta-analysis was performed to draw a precise estimation of the relationship. We systematically searched PubMed, Embase, Elsevier, and Web of Science with a time limit of September 10, 2012. Summary odds ratios (ORs) with 95 % CIs were used to assess the strength of association between these polymorphisms and lung cancer susceptibility using random-effects model. This meta-analysis including 13 case-control studies evaluated the associations between three commonly XPC polymorphisms (Lys939Gln, Ala499Val, and PAT(-/+)) and lung cancer susceptibility. No significant associations were found between the three XPC polymorphisms and lung cancer susceptibility (for Lys939Gln polymorphism: CC vs AA, OR = 1.191, p = 0.033; AC vs AA, OR = 0.992, p = 0.762, the dominant model, OR = 1.028, p = 0.521; the recessive model, OR = 1.205, p = 0.022). For Ala499Val polymorphism: TT vs CC, OR = 1.195, p = 0.071; TC vs CC, OR = 1.146, p = 0.133; the dominant model, OR = 1.161, p = 0.086; the recessive model, OR = 1.123, p = 0.156. For PAT(-/+) polymorphism: +/+ vs -/-, OR = 1.094, p = 0.539; +/- vs -/-, OR = 0.925, p = 0.313; the dominant model, OR = 0.969, p = 0.725; the recessive model, OR = 1.135, p = 0.290. p = 0.004 for Bonferroni testing). Significant associations were also not found in the subgroup analysis for the three XPC polymorphisms. This meta-analysis suggested that the three XPC polymorphisms might not be risk factors for developing lung cancer.

Indexed as

Case-Control StudiesDNA-Binding ProteinsGenetic Predisposition to DiseaseHumansLung NeoplasmsPolymorphism, GeneticRisk FactorsDNA-Binding ProteinsXPC protein, human

Identifiers

PMID23381646
OpenAlexW2074513882

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.