Evidence map›Paper›PMID 25005845›Full record

ArticleMedical oncology (Northwood, London, England)2014

N-Acetyltransferase 2 (NAT2) gene polymorphism and exposure to smoking in lung cancer of Chinese males.

Fangshuo Tian, Yue Zhang, Yangwu Ren, Li Shen, Wei Wu, Baosen Zhou

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2014. 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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. 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

6 authors at 2 institutions in 1 country.

Fangshuo TianDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110001, China.
Yue Zhang
Yangwu Ren
Li Shen
Wei Wu
Baosen Zhou
China Medical University · CNLiaoning University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N-Acetyltransferase 2 (NAT2) is a polymorphic gene encoding the enzyme that metabolizes arylamine and hydrazine moieties. The NAT2 rs1799930 (G590A) may change drug-induced toxicity and affect cancer susceptibility. To investigate the association between NAT2 rs1799930 polymorphism and susceptibility to lung cancer, we performed a hospital-based case-control study, including 259 lung squamous carcinoma patients and 375 cancer-free hospital controls who were matched by age. A total of 10 ml of venous blood from each patient was collected for the genotype testing. NAT2 rs1799930 polymorphism was analyzed by TaqMan allelic discrimination. Our results showed the evidence by the stratified analysis that smokers with dominant genetic model and A allele in NAT2 rs1799930 decreased risk of lung squamous carcinoma with adjusted OR of 0.64 (95 % CI 0.42-0.96, P = 0.032) and 0.74 (95 % CI 0.54-1.00, P = 0.049), respectively. The significantly increased risk of lung squamous carcinoma was observed in those whose pack-years ≥30 or smoking-index ≥400 with adjusted OR of 3.62 (95 % CI 2.49-5.26, P < 0.001) and 4.29 (95 % CI 2.90-6.36, P < 0.001), respectively. In conclusion, NAT2 rs1799930 polymorphism is an important factor of lung squamous carcinoma resistance in Chinese smoking males. People who smoked heavily had a significantly increased risk of lung cancer.

Indexed as

Polymorphism, GeneticPolymorphism, Single NucleotideAdultAgedArylamine N-AcetyltransferaseAsian PeopleCase-Control StudiesGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedArylamine N-AcetyltransferaseNAT2 protein, human

Identifiers

PMID25005845
OpenAlexW2077895527

What OpenQuestion holds

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Registered trials

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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.