Evidence map›Paper›PMID 21674184›Full record

SynthesisMolecular biology reports2012

Current evidence on the relationship between CYP1B1 polymorphisms and lung cancer risk: a meta-analysis.

Wenhuan Xu, Yunhai Zhou, Xiaosheng Hang, Di Shen

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
8.6field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. CYP1B1 Leu432Val polymorphism and colorectal cancer risk among Caucasians: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2012
    Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Association between CYP1B1 gene polymorphisms and risk factors and susceptibility to laryngeal cancer.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Article
  10. Lung cancer in women: an overview with special focus on Spanish women.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2014
    Review
  11. Association of genetic variants of xenobiotic and estrogen metabolism pathway (CYP1A1 and CYP1B1) with gallbladder cancer susceptibility.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  12. Article
  13. CYP1B1 C4326G polymorphism and susceptibility to cervical cancer in Chinese Han women.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Article
  14. 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

4 authors at 2 institutions in 1 country.

Wenhuan XuDepartment of Oncology, The Fourth Affiliated Hospital of Suzhou University, Huihe Road 200, Wuxi 214000, China. xuwenhuan_36@yahoo.com.cn
Yunhai Zhou
Xiaosheng Hang
Di Shen
Wuxi Fourth People's Hospital · CNWuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between single-nucleotide polymorphisms (SNPs) of the CYP1B1 gene and lung cancer risk is still ambiguous. In this meta analysis, we assessed 10 case-control studies included 7,067 cases and 9,374 controls of the association between CYP1B1 SNPs of Leu432Val (rs1056836, 432C>G), Asn453Ser (rs1800440, 453A>G), Ala119Ser (rs1056827, 119G>T), Arg48Gly (rs10012, 48C>G) and the risk of lung cancer. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of association between the polymorphism and lung cancer risk under codominant model, dominant model and additive model respectively. Although there were limitations, this meta analysis indicated that individuals with 432GG genotype had a 39.7% higher risk of having lung cancer than those with the 432CC genotype, and individuals with the 432G allele had a 26.3% increased risk as well. An increased risk of lung cancer of 2.13 fold was observed in individuals with 119TT genotype. For Arg48Gly, individuals with 48GG genotype had a significantly increased risk of lung cancer compared with individuals with 48CC (OR 3.859; 95% CI 2.536-5.87). Elevated risk of lung cancer were observed in dominant model (OR 2.115; 95% CI 1.653-2.705) as well. The risk of lung cancer was elevated as the frequency of G allele increased in additive model (P = 0.000). For individuals with the polymorphism at codon 453, no evidence of such association was observed. Furthermore, a possible association between the CYP1B1 polymorphism at codon 432 and the lung cancer could be detected in individuals of Caucasian origin, while a negative association was suggested in Asians and African-Americans. An increased lung cancer risk was also found in women with polymorphism at codon 453. These results are supportive for the hypothesis that the CYP1B1 432GG, 119TT and 48GG genotypes are low-penetrance risk factors for developing lung cancer, and further studies are needed to validate these associations.

Indexed as

Aryl Hydrocarbon HydroxylasesCase-Control StudiesCytochrome P-450 CYP1B1FemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansInheritance PatternsLung NeoplasmsMaleOdds RatioPolymorphism, Single NucleotideRisk FactorsAryl Hydrocarbon HydroxylasesCYP1B1 protein, humanCytochrome P-450 CYP1B1

Identifiers

PMID21674184
OpenAlexW2047605794

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.