Evidence map›Paper›PMID 26662855›Full record

ArticleInternational journal of cancer2016

Genetic determinants of cytochrome P450 2A6 activity and biomarkers of tobacco smoke exposure in relation to risk of lung cancer development in the Shanghai cohort study.

Jian-Min Yuan, Heather H Nelson, Lesley M Butler, Steven G Carmella, Renwei Wang, Jacquelyn K Kuriger-Laber, Jennifer Adams-Haduch, Stephen S Hecht, Yu-Tang Gao, Sharon E Murphy

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.8field-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

33 citing papers in PubMed, 49 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Association of Urinary Biomarkers of Tobacco Exposure with Lung Cancer Risk in African American and White Cigarette Smokers in the Southern Community Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  6. Article
  7. Article
  8. Association of Urinary Biomarkers of Smoking-Related Toxicants with Lung Cancer Incidence in Smokers: The Multiethnic Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  9. Impact of Genetic Variants in the Nicotine Metabolism Pathway on Nicotine Metabolite Levels in Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  10. Metabolism and DNA Adduct Formation of Tobacco-SpecificInternational journal of molecular sciences · 2022
    Review
  11. Review
  12. Article
  13. Review
  14. Applying Tobacco, Environmental, and Dietary-Related Biomarkers to Understand Cancer Etiology and Evaluate Prevention Strategies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  15. Review
  16. Relationships between the Nicotine Metabolite Ratio and a Panel of Exposure and Effect Biomarkers: Findings from Two Studies of U.S. Commercial Cigarette Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  17. Article
  18. Urinary Cotinine Is as Good a Biomarker as Serum Cotinine for Cigarette Smoking Exposure and Lung Cancer Risk Prediction.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  19. Article
  20. A Comparison of Direct and Indirect Analytical Approaches to Measuring Total Nicotine Equivalents in Urine.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    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

10 authors at 3 institutions in 2 countries.

Jian-Min YuanDivision of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA.
Heather H NelsonMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
Lesley M ButlerDivision of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA.
Steven G CarmellaMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
Renwei WangDivision of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA.
Jacquelyn K Kuriger-LaberMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
Jennifer Adams-HaduchDivision of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA.
Stephen S HechtMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
Yu-Tang GaoDepartment of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China.
Sharon E MurphyMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
University of Minnesota · USUPMC Hillman Cancer Center · USShanghai Cancer Institute · CN

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
METABOLISM OF CARCINOGENIC TOBACCO SPECIFIC NITROSAMINESR01CA081301 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI STEPHEN S HECHT · 1999 to 2026
$7.1M
Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
DIETARY FACTORS IN THE ETIOLOGY OF CANCER IN SHANGHAIR01CA043092 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1987 to 2006
$5.8M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
Biomarkers of NNK in prediction of lung cancer development in smokersR01CA129534 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2009 to 2013
$2.8M
NCI NIH HHS P30 CA077598NCI NIH HHS R01 CA043092NCI NIH HHS R01 CA081301NCI NIH HHS R01 CA129534NCI NIH HHS R01 CA144034NCI NIH HHS R01 CA81301NCI NIH HHS UM1 CA182876
6 · The paper itself

Abstract

Cytochrome P450 2A6 (CYP2A6) catalyzes nicotine metabolism and contributes to the metabolism of the tobacco-specific lung carcinogen, NNK. Genetic variation in CYP2A6 may affect smoking behavior and contribute to lung cancer risk. A nested case-control study of 325 lung cancer cases and 356 controls was conducted within a prospective cohort of 18,244 Chinese men in Shanghai, China. Quantified were 4 allelic variants of CYP2A6 [*1(+51A), *4, *7, and *9] and urinary total nicotine, total cotinine, total trans-3'-hydroxycotinine (3HC) and total NNAL (an NNK metabolite). Calculated were total nicotine equivalents (TNE), the sum of total nicotine, total cotinine and total 3HC and the total 3HC:total cotinine ratio as a measure of CYP2A6 activity. The nicotine metabolizer status (normal, intermediate, slow and poor) was determined by CYP2A6 genotypes. The smoking-adjusted odds ratios (95% confidence intervals) of lung cancer for the highest vs lowest quartile of total nicotine, total cotinine, total 3HC, TNE and total NNAL were 3.03 (1.80-5.10), 4.70 (2.61-8.46), 4.26 (2.37-7.68), 4.71 (2.61-8.52), and 3.15 (1.86-5.33) (all Ptrend  < 0.001), respectively. Among controls CYP2A6 poor metabolizers had a 78% lower total 3HC:total cotinine ratio and 72% higher total nicotine (Ptrend ≤ 0.002). Poor metabolizers had an odds ratio of 0.64 (95% confidence interval = 0.43-0.97) for lung cancer, which was statistically nonsignificant (odds ratio = 0.74, 95% confidence interval = 0.48-1.15) after adjustment for urinary TNE and smoking intensity and duration. The lower lung cancer risk observed in CYP2A6 poor metabolizers is partially explained by the strong influence of CYP2A6 genetic polymorphisms on nicotine uptake and metabolism.

Indexed as

Asian PeopleBiomarkers, TumorCase-Control StudiesChinaCohort StudiesCotinineCytochrome P-450 CYP2A6GenotypeHumansLung NeoplasmsMaleMiddle AgedNicotineOdds RatioPolymerase Chain ReactionPolymorphism, Single NucleotideBiomarkers, TumorCotinineCYP2A6 protein, humanCytochrome P-450 CYP2A6NicotineChineseCYP2A6lung cancertobacco exposure biomarkerstotal nicotine equivalents

Identifiers

PMID26662855
PMCPMC5155585
OpenAlexW2191110339

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.