Evidence map›Paper›PMID 25886288›Full record

ArticleBMC cancer2015

NAT1 and NAT2 genetic polymorphisms and environmental exposure as risk factors for oesophageal squamous cell carcinoma: a case-control study.

Marco Matejcic, Matjaz Vogelsang, Yabing Wang, M Iqbal Parker, Iqbal M Parker

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Contribution of Genetic Polymorphisms in Human Health.International journal of environmental research and public health · 2023
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.The Quarterly review of biology · 2019
    Article
  9. Esophageal cancer genetics in South Africa.Clinical and experimental gastroenterology · 2019
    Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Marco MatejcicInternational Centre for Genetic Engineering and Biotechnology, Cape Town Component, Observatory, UCT Medical Campus, Anzio Road, Observatory 7925, Cape Town, South Africa. MTJMAR002@myuct.ac.za.
Matjaz VogelsangInternational Centre for Genetic Engineering and Biotechnology, Cape Town Component, Observatory, UCT Medical Campus, Anzio Road, Observatory 7925, Cape Town, South Africa. matjaz.vogelsang@gmail.com.
Yabing WangInternational Centre for Genetic Engineering and Biotechnology, Cape Town Component, Observatory, UCT Medical Campus, Anzio Road, Observatory 7925, Cape Town, South Africa. y.wang@uct.ac.za.
M Iqbal ParkerInternational Centre for Genetic Engineering and Biotechnology, Cape Town Component, Observatory, UCT Medical Campus, Anzio Road, Observatory 7925, Cape Town, South Africa. Iqbal.Parker@icgeb.org.
Iqbal M Parker
International Centre for Genetic Engineering and Biotechnology · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco smoking and red meat consumption are some of the known risk factors associated with the development of oesophageal cancer. N-acetytransferases (NAT1 and NAT2) play a key role in metabolism of carcinogenic arylamines present in tobacco smoke and overcooked red meat. We hypothesized that NAT1 and NAT2 genetic polymorphisms may influence the risk of oesophageal cancer upon exposure to environmental carcinogens.

methodsSingle nucleotide polymorphisms (SNPs) in the NAT1 and NAT2 genes were investigated by genotyping 732 cases and 768 healthy individuals from two South African populations to deduce the acetylator phenotype (slow, intermediate or rapid) from the combination of the genotyped SNPs.

resultsThe 341 CC genotype (rs1801280) was significantly associated with a reduced risk for oesophageal cancer in the Mixed Ancestry population (OR = 0.31; 95% CI 0.11-0.87). The NAT2 slow/intermediate acetylator status significantly increased the risk among cigarette smokers in the Black population (OR = 2.76; 95% CI 1.69-4.52), as well as among alcohol drinkers in the Mixed Ancestry population (OR = 2.77; 95% CI 1.38-5.58). Similarly, the NAT1 slow/intermediate acetylator status was a risk factor for tobacco smokers in the Black population (OR = 3.41; 95% CI 1.95-5.96) and for alcohol drinkers in the Mixed Ancestry population (OR = 3.41; 95% CI 1.70-6.81). In a case-only analysis, frequent red meat consumption was associated with a significantly increased cancer risk for NAT2 slow/intermediate acetylators in the Mixed Ancestry population (OR = 3.55; 95% CI 1.29-9.82; P = 0.019), whereas daily white meat intake was associated with an increased risk among NAT1 slow/intermediate acetylators in the Black population (OR = 1.82; 95% CI 1.09-3.04; P = 0.023).

conclusionsOur findings indicate that N-acetylation polymorphisms may modify the association between environmental risk factors and oesophageal cancer risk and that N-acetyltransferases may play a key role in detoxification of carcinogens. Prevention strategies in lifestyle and dietary habits may reduce the incidence of oesophageal cancer in high-risk populations.

Indexed as

AgedAlcohol DrinkingArylamine N-AcetyltransferaseCarcinoma, Squamous CellCase-Control StudiesEnvironmental ExposureEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansIsoenzymesMaleMeatMiddle AgedPolymorphism, Single NucleotideRisk FactorsArylamine N-AcetyltransferaseIsoenzymesN-acetyltransferase 1NAT2 protein, human

Identifiers

PMID25886288
PMCPMC4379954
OpenAlexW1975919092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.