| Literature DB >> 35117678 |
A Thirumal Raj1, Govindarajan Sujatha1, Jayanandan Muruganandhan1, S Satish Kumar2, Sk Indu Bharkavi1, Saranya Varadarajan1, Shankargouda Patil3, Kamran Habib Awan4.
Abstract
The past decade has seen a surge in the use of e-cigarettes, which has prompted the medical community to assess any associated potential health hazards. A major concern was the risk of cancer. Chemical analysis of e-cigarettes has shown the presence of volatile organic compounds with the potential for carcinogenicity. Comparative toxicology analysis has shown e-cigarette to have relatively lower dosages of toxins than conventional combustible cigarettes. Based on comparative analysis, e-cigarettes have been increasingly advocated as a safe alternative to conventional cigarettes. It is vital to recognize that presence of relatively lower toxin level does not preclude carcinogenic potential. The nicotine present in the e-cigarette was presumed to be the major cytotoxic agents, thus nicotine-free e-cigarette was considered as inert. On the contrary, experimental studies on oral cell lines have shown DNA strand breaks on exposure to e-cigarette vapors with or without nicotine. In addition, dysregulations of genes associated with carcinogenic pathways have also been demonstrated in oral tissues exposed to e-cigarette vapors. Despite alarming molecular data, the oral carcinogenic potential of e-cigarette remains unclear, which can be attributed to the lack of long-term prospective and large-scale case-control studies. As e-cigarette users often have other well-established risk factors (conventional cigarette smoking, alcohol, etc.) as associated habits, it is difficult to assess e-cigarette as an independent risk factor for oral cancer. Thus, the present manuscript aims to review the published literature using the Brad Ford Hill criteria of causation to determine the oral carcinogenic potential of e-cigarettes. 2020 Translational Cancer Research. All rights reserved.Entities:
Keywords: Carcinogens; cigarette smoking; electronic nicotine delivery systems; mouth neoplasms; volatile organic compounds
Year: 2020 PMID: 35117678 PMCID: PMC8798817 DOI: 10.21037/tcr.2020.01.23
Source DB: PubMed Journal: Transl Cancer Res ISSN: 2218-676X Impact factor: 1.241
Summary of the published data assessing the in-vitro, in-vivo, and clinical effect of e-cigarette and comparative groups
| S. No | First authors name/year/country (reference) | Aim | Comparative groups | Results |
|---|---|---|---|---|
| 1 | Taylor/2016/UK ( | E-cigarette aqueous aerosol extract (AAE); tobacco smoke AAE | E-cigarette AAE concentration up to 0.5 puffs/mL did not elicit any cellular stress response. Tobacco smoke AAE concentration of 0.063 puffs/mL elicited cellular stress-related responses | |
| 2 | Misra/2014/US ( | E-liquids and pad-collected aerosols of e-cigarettes; pad-collected smoke condensates of tobacco cigarettes; aqueous extracts of smokeless tobacco (SLT); aqueous extracts of nicotine replacement products (NRP) | E-cigarettes, SLT and the NRP did not show any significant toxicity, even at doses 100-fold higher than tobacco cigarette smoke. Tobacco cigarette smoke showed significant toxicity | |
| 3 | Breheny/2017/UK ( | Aerosol collected matter (ACM) of electronic cigarette (Vype ePen); total particulate matter (TPM) of cigarette (3R4F) | The tumor-promoting particulate matter was negative in the e-cigarette’s ACM up to a concentration of 120 mg/mL (77 ng/mL nicotine). The tumor-promoting particulate matter was positive even at a low concentration of 6 mg/mL TPM (12.5 ng/mL nicotine) for 3R4F’s TPM | |
| 4 | Yu/2016/US ( | Nicotine-containing vapor from e-cigarettes (e-cigarettes brands V2 and VaporFi); nicotine-free vapor from e-cigarettes (e-cigarettes brands V2 and VaporFi) | E-cigarette vapors with and without nicotine reduced the viability and clonogenic potential of the cells while increasing cell death (apoptosis and necrosis), comet tail length and DNA strand breaks | |
| 5 | Taylor/2017/UK ( | AAE of Vype e-cigarettes; AAE of cigarette (3R4F) | E-cigarette AAE did not inhibit the migratory properties, even at dosage 2 times that of 3R4F. Concentration-Dependent inhibition of migration was noted for 3R4F, with a concentration of >20% eliciting complete inhibition | |
| 6 | Tommasi/2017/US ( | E-cigarette extract at a concentration of 5%; e-cigarette extract at concentration of <20% | E-cigarette did not induce any significant mutagenic effect at both 5% and <20% concentration | |
| 7 | Cuadra/2019/US ( | Flavorless e-cigarette aerosol (+/− nicotine); cigarette smoke | E-cigarette aerosol +/− nicotine did not have any significant effect on the microbe, while cigarette smoke caused significant inhibition | |
| 8 | Thorne/2016/UK ( | ACM of e-cigarette; fresh e-cigarette aerosol; cigarette smoke (3R4F) | ACM of e-cigarette and the fresh e-cigarette aerosol did not cause any mutagenicity up to 2,400 µg/plate and 1 L/min dilution (for 3 h) respectively | |
| 9 | Canistro/2017/Italy ( | E-cigarette vapor | The significant toxic effect induced by the e-cigarette aerosol in the form of polycyclic aromatic hydrocarbons activation increased production of oxygen free radical production, DNA strand breaks, micronuclei formation, point mutations | |
| 10 | Polosa/2017/Italy ( | A clinical study assessing the long-term (3.5-year) effect of e-cigarettes on health | E-cigarette users with no history of using tobacco cigarette; never smokers | There was no significant health difference between the comparative groups |
| 11 | Manzoli/2015/Italy ( | A clinical study assessing the 12-months effect of the comparative groups | E-cigarette users (≥50 puffs weekly) with a history of tobacco smoking; tobacco smokers (≥1 cigarette/day); dual users | Incidence of possible smoking-related diseases in the comparative groups was too scarce to comment |
| 12 | Manzoli/2016/Italy ( | A clinical study assessing the 24-months effect of the comparative groups | E-cigarette users (≥50 puffs weekly) with a history of tobacco smoking; tobacco smokers (≥1 cigarette/day); dual users | Incidence of possible smoking-related diseases in the comparative groups was too scarce to comment |
| 13 | Flacco/2019/Italy ( | A clinical study assessing the 4-year effect of the comparative groups | E-cigarette users (≥50 puffs weekly) with a history of tobacco smoking; tobacco smokers (≥1 cigarette/day); dual users | There was no significant difference in the incidence of possible smoking-related diseases between the comparative groups |
| 14 | Goniewicz/2018/US ( | A clinical study comparing the tobacco-related toxicant concentration between the comparative groups | E-cigarette users; combustible tobacco cigarette users; dual users; never smokers | The highest toxicity was observed for dual users followed by combustible tobacco users, and e-cigarette users. E-cigarette users had significantly lower levels of volatile organic compounds (VOC) nicotine, metals, tobacco-specific nitrosamines, and polycyclic aromatic |
| 15 | Lorkiewicz/2019/US ( | A clinical study comparing the tobacco-related toxicant concentration between the comparative groups | E-cigarette; combustible cigarette; smokeless tobacco; never users | Compared to never users, e-cigarette users had a higher level of cyanide, xylene, styrene, benzene, and ethylbenzene. VOC, nicotine levels of E-cigarette were lower than combustible cigarette users. E-cigarette users had a higher level of xylene, N,N-dimethylformamide, and acrylonitrile than smokeless tobacco users. |
| 16 | Shahab/2017/US ( | A clinical study comparing the tobacco-related toxicant concentration between the comparative groups | Past users of the combustible cigarette with long term (≥6 months) e-cigarette use; combustible cigarette users; nicotine replacement therapy (NRT); dual users of E-cigarettes and combustible cigarettes; dual users of combustible cigarettes and NRT | Tobacco-specific nitrosamines and VOC levels were lower in the NRT group and the e-cigarette users compared to the other comparative groups |
| 17 | Goniewicz/2016/US ( | A clinical study comparing the tobacco-related toxicant concentration as individuals switch from combustible cigarettes to e-cigarettes | Combustible cigarette users switched to e-cigarettes | The switch did not cause change in levels of nicotine and some polycyclic aromatic hydrocarbon metabolites. The switch caused significant decrease in the levels of 1,3-butadiene, benzene, and acrylonitrile, 3-hydroxyfluorene, NNAL (a tobacco-specific nitrosamine) |
| 18 | Clemens/2019/US ( | A clinical study comparing the tobacco-related toxicant concentration of the comparative groups | Pregnant women using an e-cigarette; pregnant women with a dual habit of e-cigarettes and combustible cigarettes; pregnant women with a habit of combustible cigarette; pregnant women who are never smokers | Tobacco-specific nitrosamines, nicotine, and cotinine levels of dual users were higher than never users and were not significantly different from combustible cigarette users |
| 19 | O’ Connell/2016/The Netherlands ( | A clinical study comparing the potentially harmful constituents in the comparative groups | Past users of combustible cigarette switched to e-cigarettes; dual users of combustible cigarettes and e-cigarettes; past users of combustible cigarette discontinued use of all tobacco-nicotine products | Potentially harmful constituents and biomarkers of exposure (BOE) were lower after switching to e-cigarettes but was higher for individuals switched to dual-use |
| 20 | D’Ruiz/2016/US ( | A clinical study comparing the BOE in the comparative groups | Past users of combustible cigarette switched to e-cigarettes; past users of combustible cigarette discontinued use of all tobacco-nicotine products | BOE reduced for individuals shifting to e-cigarettes but increased for individuals shifting to dual-use |
| 21 | Pulvers/2018/US ( | A clinical study comparing the tobacco-related toxicant concentration as individuals switch from combustible cigarettes to e-cigarettes | Combustible cigarette users switched to e-cigarettes | Levels of carbon monoxide, metabolites of benzene, acrylonitrile, ethylene oxide decreased in individual switching to e-cigarettes |
| 22 | Tommasi/2019/US ( | A clinical study assessing the gene regulation in oral cells of the comparative groups | E-cigarette users; combustible cigarette users; dual users | Combustible cigarette smokers had a greater number (more than 50%) of differentially expressed transcripts than the E-cigarette group. Most aberration in cigarette smokers was in the protein-coding genes, while in the e-cigarette group most aberrations were in the regulatory non-coding RNAs. 62% and 79% of the dysregulated gene were associated with cancer in the e-cigarette and the combustible cigarette group. Wnt/Ca+ pathway was implicated as the most affected pathway in the e-cigarette group |
| 23 | Lee/2017/US ( | E-cigarette smoke | Lung, heart, and bladder contained mutagens including mutagenic O6-methyldeoxyguanosines and γ-hydroxy-1, N2-propano-eoxyguanosines. The DNA-repair activity was reduced | |
| 24 | Bustamante/2018/US ( | A clinical study comparing the N′-nitrosonornicotine levels in the comparative groups | E-cigarette users; combustible cigarette users; never smokers | N’-nitrosonornicotine levels were higher in e-cigarette users than never users, but lower than combustible users |
| 25 | Ganapathy/2017/US ( | E-cigarette aerosol; E-cigarette smoke extracts | E-cigarette aerosol caused DNA damage and suppressed the antioxidant defenses of the cells. The extract increased reactionary oxygen species and reduced total antioxidant capacity. The level of presence of 8-oxo-dG (highly mutagenic DNA lesion) was higher for the aerosol than the extract |