Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Research Articles

Menthol Smokers: Metabolomic Profiling and Smoking Behavior

Ping-Ching Hsu, Renny S. Lan, Theodore M. Brasky, Catalin Marian, Amrita K. Cheema, Habtom W. Ressom, Christopher A. Loffredo, Wallace B. Pickworth and Peter G. Shields
Ping-Ching Hsu
1Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
2Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Renny S. Lan
1Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Theodore M. Brasky
1Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Catalin Marian
1Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
3Biochemistry Department, “Victor Babes” University of Medicine and Pharmacy, Timisoara, Romania.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amrita K. Cheema
4Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Habtom W. Ressom
4Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christopher A. Loffredo
4Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wallace B. Pickworth
5Battelle, Public Health Center for Tobacco Research, Baltimore, Maryland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter G. Shields
1Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: peter.shields@osumc.edu
DOI: 10.1158/1055-9965.EPI-16-0124 Published January 2017
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    PLS-DA of all menthol and nonmenthol cigarette smokers. A, Three-dimensional score plot between the selected principle components (PC) showed difference between menthol (green) and nonmenthol (blue) smokers in their metabolomic profiles. B, Loadings plot showed MG as the most influential metabolite discriminating metabolome of menthol and nonmenthol smokers with an ANOVA assessment of the cross-validatory (CV) P = 0.0003. The P value indicates the probability level where a model with this F value may be the result of just chance.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Network associated with menthol boosts in menthol smokers. Yellow nodes, metabolites mapped from our study; magenta, seven molecules known as biomarkers for cancer.

Tables

  • Figures
  • Additional Files
  • Table 1.

    Study participant characteristics and differences between menthol and nonmenthol smokers

    All (n = 105)Menthol (n = 71, 67.6%)Nonmenthol (n = 34, 32.4%)
    Variablen (%)Mean ± SDn (%)Mean ± SDn (%)Mean ± SDPa
    Age (y)43.1 ± 9.643.8 ± 9.341.4 ± 10.90.25
    Age (y), categorical
     <44 yrs old55 (52.4)34 (47.9)21 (61.8)0.18
     ≥44 yrs old50 (47.6)37 (52.1)13 (38.2)
    Gender
     Male67 (63.8)43 (60.6)24 (70.6)0.32
     Female38 (36.2)28 (39.4)10 (29.4)
    Race
     AA63 (60.0)58 (81.7)5 (14.7)<0.00001
     EA38 (36.2)12 (16.9)26 (76.5)
     Biracial4 (3.8)1 (1.4)3 (8.8)
    Yrs smoked (y)22.9 ± 9.922.5 ± 9.823.7 ± 10.30.57
    Yrs smoked (y), categorical
     <22 yrs52 (49.5)39 (54.9)13 (38.2)0.11
     ≥22 yrs53 (50.5)32 (45.1)21 (61.8)
    Plasma cotinine (ng/mL)252.6 ± 103.3247.5 ± 97.3263.4 ± 115.60.46
    Plasma cotinine, categorical
     Low (<200)35 (33.3)23 (32.4)12 (35.3)0.96
     Medium (200–279)35 (33.3)24 (33.8)11 (32.4)
     High (>279)35 (33.3)24 (33.8)11 (32.4)
    NMR0.38 ± 0.220.37 ± 0.240.41 ± 0.170.44
    NMR, categorical
     Q1 (<0.238)25 (23.8)20 (28.2)5 (14.7)0.25
     Q2 (0.238–0.34)27 (25.7)19 (26.8)8 (23.5)
     Q3 (0.341–0.458)27 (25.7)18 (25.4)9 (26.5)
     Q4 (>0.458)26 (24.8)14 (19.7)12 (35.3)
    FTND scoring5.0 ± 2.34.8 ± 2.15.4 ± 2.70.20
    FTND scoring, categorical
     <5 points44 (41.9)32 (45.1)12 (35.3)0.31
     5–6 points33 (31.4)23 (32.4)10 (29.4)
     >6 points27 (25.7)15 (21.1)12 (35.3)
    • Abbreviations: AA, African Americans; EA, European Americans.

    • ↵aP values represent differences in menthol versus nonmenthol smokers for each characteristic. Continuous variables were evaluated by two-sample t tests (italics), and χ2 tests were used to investigate the differences in distributions of categorical variables from menthol to nonmenthol smokers.

  • Table 2.

    Correlation of the second MG boost to smoking-related variables

    All smokersMentholNonmenthol
    raParPrP
    Average puff volume (mL)0.360.00030.486.22E−050.090.64
    CO boost0.310.0010.220.060.470.006
    Average puff duration (sec)0.300.0030.330.0080.100.58
    Total smoke exposure (mL)0.260.010.350.0040.140.46
    Nicotine boost0.260.040.320.050.280.19
    Average interpuff interval (sec)−0.140.17−0.370.0020.270.14
    Number of puffs0.110.270.170.180.070.69
    Cotinine (ng/mL)0.050.610.180.12−0.150.40
    Maximum puff velocity (mL/sec)0.050.620.180.140.160.38
    FTND0.040.650.220.060.020.90
    3HC (ng/mL)0.040.690.230.06−0.110.54
    NMR0.010.900.130.270.040.84
    • NOTE: Data significant at P < 0.05.

    • ↵ar and P were computed on the basis of Spearman rank correlation coefficient.

  • Table 3.

    Differences in the smoking-related characteristics of participants from self-reported menthol and nonmenthol smokers in the study

    Menthol (71)Nonmenthol (34)Fold change
    Mean ± SDMean ± SDPa(Menthol/nonmenthol)
    MG boost31.2 ± 42.8−2.78 ± 18.32.31E−0511.2
    Maximum puff velocity (mL/sec)47.5 ± 13.751.6 ± 16.10.20−1.1
    FTND4.8 ± 2.15.4 ± 2.70.20−1.1
    CO boost5.2 ± 3.14.4 ± 3.60.201.2
    3HC (ng/mL)90.8 ± 67.9106.7 ± 62.70.25−1.2
    Nicotine boost14.0 ± 8.611.9 ± 7.00.311.2
    NMR0.4 ± 0.20.4 ± 0.20.44−1.1
    Average puff volume (mL)55.7 ± 18.552.7 ± 18.00.451.1
    Average puff duration (sec)1.8 ± 0.61.6 ± 0.80.461.1
    Cotinine (ng/mL)247.5 ± 97.3263.4 ± 115.60.46−1.1
    Average interpuff interval (sec)20.0 ± 12.721.0 ± 14.70.74−1.0
    Number of puffs12.6 ± 7.512.3 ± 6.60.871.0
    Total smoke exposure (mL)691.7 ± 455.9690.3 ± 547.80.991.0
    • ↵aP value was computed on the basis of two-sample t tests. Data significant at P < 0.05.

  • Table 4.

    Known metabolites significantly correlated with MG boost among 71 menthol smokers

    m/zRTMetabolitesAdductsCategoryΔppmq-valuePartialCorr
    331.183.07MG[M−H]−Prenol lipids10.00400.53
    640.295.52S-(PGA2)-glutathione[M−H]−Carboxylic acids and derivatives10.0042−0.52
    231.001.702,4-Dihydroxyacetophenone 5-sulfate[M−H]−Benzene and substituted derivatives60.01990.42
    205.100.36l-Tryptophan[M+H]+Indoles and derivatives80.02880.53
    167.020.34Uric acid[M−H]−Alkaloids and derivatives70.03440.39
    187.011.71Benzyl sulfate[M−H]−Organic sulfuric acids and derivatives50.03440.42
    462.305.01PC(O-12:0/O-1:0)[M+Na]+Glycerophospholipids40.0344−0.54
    799.484.65Thalicoside A[M+H]+Terpenoids70.0344−0.54
    460.284.63PE(P-16:0/0:0)[M+Na]+Glycerophospholipids60.0364−0.54
    185.084.742-(1-Ethoxyethoxy)propanoic acid[M+Na]+Carboxylic acids and derivatives70.0397−0.53
    585.273.95Bilirubin[M+H]+Tetrapyrroles and derivatives00.04080.52
    189.001.71Oxalosuccinic acid[M−H]−Carboxylic acids and derivatives20.04720.41
    792.608.48PC(O-16:0/22:6)[M+H]+Glycerophospholipids80.04800.49
    567.274.872-deoxy-20-hydroxyecdysone 22-phosphate[M+H]+Sterol lipids00.0485−0.50
    240.104.73N-Ornithyl-L-taurine[M+H]+Carboxylic acids and derivatives30.0491−0.49
    313.274.8510-oxo-nonadecanoic acid[M+H]+Fatty acyls00.0491−0.51
    481.325.0020-hydroxyecdysone[M+H]+Sterol lipids20.0491−0.52
    505.355.03Isothankunic acid[M+H]+Prenol lipids70.0491−0.51
    834.608.73PC(22:2/16:1)[M+Na]+Glycerophospholipids10.04910.45
    544.345.03LysoPC(20:4)[M+H]+Glycerophospholipids00.0498−0.48
    • *q-value (corrected P value) was computed on the basis of two-way ANCOVA model adjusted for gender, race, and cotinine levels. Data significant at q < 0.05 after correcting for multiple testing. PartialCorr represents the correlation between the second MG boost and the metabolites.

    • Abbreviations: m/z, mass-to-charge ratio; RT, retention time.

Additional Files

  • Figures
  • Tables
  • Supplementary Data

    • Supplemental table 1 - Correlation of the significant metabolite boosts from the 2nd cigarette to smoking-related variables.
    • Supplemental table 2 - Models determining the correlations of the MG boost to smoking-related variables.
    • Supplemental table 3 - Correlation of pre- and post-cigarette MG levels to topography profiles.
    • Supplemental table 4 - Correlation of the 2nd nicotine boost to smoking-related variables.
    • Supplemental table 5 - Correlation of the 2nd CO boost to smoking-related variables.
    • Supplemental figure 1 - Significant correlations of the 2nd MG boost to smoking-related variables.
PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 26 (1)
January 2017
Volume 26, Issue 1
  • Table of Contents
  • Table of Contents (PDF)
  • Editorial Board (PDF)

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Menthol Smokers: Metabolomic Profiling and Smoking Behavior
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Menthol Smokers: Metabolomic Profiling and Smoking Behavior
Ping-Ching Hsu, Renny S. Lan, Theodore M. Brasky, Catalin Marian, Amrita K. Cheema, Habtom W. Ressom, Christopher A. Loffredo, Wallace B. Pickworth and Peter G. Shields
Cancer Epidemiol Biomarkers Prev January 1 2017 (26) (1) 51-60; DOI: 10.1158/1055-9965.EPI-16-0124

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Menthol Smokers: Metabolomic Profiling and Smoking Behavior
Ping-Ching Hsu, Renny S. Lan, Theodore M. Brasky, Catalin Marian, Amrita K. Cheema, Habtom W. Ressom, Christopher A. Loffredo, Wallace B. Pickworth and Peter G. Shields
Cancer Epidemiol Biomarkers Prev January 1 2017 (26) (1) 51-60; DOI: 10.1158/1055-9965.EPI-16-0124
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Disclaimer
    • Authors' Contributions
    • Grant Support
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Gallstones and Gallbladder Cancer
  • Additive Effects of Aristolochic Acid and Arsenic in UTUC
  • Provider Lifestyle Discussions
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement