| Literature DB >> 28664511 |
Nomundelger Gankhuyag1, Kang-Hoon Lee1, Je-Yoel Cho2.
Abstract
Smoking cigarettes is one of the most concerning issues that leads to tobacco-related cancers and can even result in death. Therefore, these issues should be addressed with a great sense of urgency with low-cost and simple approaches. Over the past several years, the scientific community has attempted to find solutions to overcome this issue. Thus, a large number of excellent studies have been reported in this field, and summarizing these results and providing important roadmaps for future studies is currently of great importance. Finding an outstanding solution to address aforementioned issue would be of great value to the community and to the social. Tobacco contains thousands of chemicals, and sixty-nine compounds have been established as human carcinogens; specifically, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) is the strongest carcinogen among the tobacco-specific nitrosamines. Tobacco carcinogens are also linked to mammary gland pathogenesis and increased risk of developing many cancers, including breast cancer, the most common cancer in women worldwide. This mini-review summarizes the role of NNK and the mechanisms of its receptor, nicotine acetylcholine receptor (nAChR), signaling in breast cancer based on publications identified using the keywords "secondhand smoke (SHS)", "Nitrosamines" and "breast cancer". Furthermore, this review considers the risk of NNK to the public in an effort to reduce exposure to SHS in women and their chances of developing breast cancer.Entities:
Keywords: Breast cancer; Nicotinic acetylcholine receptor; Nitrosamines; Second hand smoke
Mesh:
Substances:
Year: 2017 PMID: 28664511 PMCID: PMC5579148 DOI: 10.1007/s10911-017-9381-z
Source DB: PubMed Journal: J Mammary Gland Biol Neoplasia ISSN: 1083-3021 Impact factor: 2.673
Summary of chemicals associated with increased mammary gland tumors in rodent models
| Chemicals | Concentration in smoke of nonfilter cigarette | IARC group |
|---|---|---|
| benzo(a)pyrene | 20–40 ng | 2A |
| toluidine | 30-337 ng | 2B |
| 4-aminobiphenyl N-heterocylic amines | 25–260 | 1 |
| IQ | 0.3 | 2A |
| hydrazine | 24–43 | 2B |
| PhIP | 11–23 | 2B |
| isoprene | 450–1000 I g | 2B |
| benzene | 20–70 I g | 1 |
| styrene | 10 I g | 2B |
| nitromethane | 0.5–0.6 I g | 2B |
| nitrobenzen | 25 Ig | 2B |
| acrylamide | Present | 2B |
| acrylonitrile | 3–15 I g | 2A |
| vinyl chloride | 11–15 I g | 1 |
| ethylene oxide | 7 I g | 1 |
| propylene oxide | 0-100 ng | 2B |
| dibenz(a,h)anthracene | 4 ng | 2A |
|
| ||
| N-nitrosonornicotine | 120–3700 ng | 2B |
| N-nitrosodimethylamine | 2–1000 ng | 2A |
| N-nitrosodiethylamine | ND-2.8 ng | 2A |
| 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone | 80–770 ng | 2B |
IQ: 3-methylimidazo[4,5-fjquinoline, PhIP: 2-Amino-1-Methyl-6-Phenylimidazo 4 5-b pyridine
Fig. 1The structures of the nitrosoamines found in tobacco smoke. NNN (N-nitrosonornicotine), NAT (N-nitrosoanatabine), NAB (N-nitrosoanabasine), NNK (4-methylnitrosamino-1-3-pyridyl-1-butanone), NDMA (N-nitrosodimethylamine), NMEA (N-nitrosomethylamin), NDELA (N-Nitrosodiethanolamine), NSAR (N-nitrososarcosine), NPIP (N-nitrosopiperidine), NPYR (N-nitrosopyrrolidine), NDEA (N-nitrosodiethylamine), NMOR (N-nitrosomorpholine)
Tobacco-specific nitrosamines in both smokeless tobacco and cigarette smoke
| Smoke type | NNN | NNK | NAB | Reference |
|---|---|---|---|---|
| Electronic cigarette (ng/15puffs) | 7.7 | ND | 1.2–2.3 | Cressey [ |
| Others (chewing, etc.) (ppm) | 0.47–64 | 0.03–14 | 0.03–6.5 | Hecht and Hoffmann [ |
| Mainstream smoke (μg/cigarette) | 0.33–12.454 | 0.004–4.2 | 0.33–4.6 | Hecht and Hoffmann [ |
| Sidestream smoke (μg /cigarette) | 0.15–16.6 | 0.39–15.7 | 0.15–1.5 | Hecht and Hoffmann [ |
NNN: N-nitrosonornicotine, NNK: 4-(methylnitrosamino)- 1-(3-pyridyl)-1-butanone, NNB: N-nitrosoanabasine
Studies of secondhand smoking and breast cancer
| Study | Study Population (number of participants) | Follow-up (years) | SHS Exposure | Relative Risk of Breast Cancer in Women Exposed to SHS Compared to Women Not Exposed to SHS, RR (95% CI) | |
|---|---|---|---|---|---|
| Prospective cohort studies | |||||
| Egan et al. [ | 78,206 (3140) | 14 | home or at work | 0.90 (0.67–1.22) | |
| Reynolds et al. [ | 116,544 (2005 cases) | 5 | home | 0.94 (0.82–1.07) | |
| Pirie et al. [ | 224,917 (2518 cases) | 4 | home | 1.02 (0.86–1.16) | |
| Lin et al. [ | 271,412 (208 cases) | 11 | home | 1.24 (0.84–1.85) | |
| Reynolds et al. [ | 57,523 (1754 cases) | 10 | Home, at work or social | 1.13 (0.96–1.33) | |
| Luo et al. [ | 41,022 (1660 cases) | 10 | home or at work | 1.11 (0.92–1.34) | |
| Xue et al. [ | 36,017 (2890 cases) | 24 | home or at work | 0.97 (0.81–1.16) | |
| Rosenberg et al. [ | 52,425 (1377 cases) | 14 | home | 1.18 (0.98–1.42) | |
| Dossus et al. [ | 183,608 (6264 cases) | 11 | home or at work | 1.10 (1.01–1.20) | |
| Wada et al. [ | 36, 990 (15,719 cases) | 16 | home | 1.98 (1.03–3.84) | |
| Case-control studies | |||||
| Cases | Controls | ||||
| Sandler et al. [ | 518 | 518 | home | 1.8 (1.0–3.7) | |
| Johnson et al. [ | 2317 | 2438 | home or at work | Premenopausal women: 2.6 (1.1–6.0) | |
| Kropp et al. [ | 197 | 459 | home, at work | 1.6 (1.1–2.4) | |
| Shrubsole et al. [ | 1013 | 1117 | home, at work or outside of home | 1.1 (0.8–1.4) | |
| Bonner et al. [ | 1166 | 2105 | home, at work | Premenopausal women: 1.17 (0.54–2.56) | |
| Lissowska et al. [ | 2386 | 2502 | home or at work | 1.11 (0.85–1.46) | |
| Roddam et al. [ | 639 | 640 | home | Premenopausal women: 0.89 (0.64–1.25) | |
| Slattery et al. [ | 1527 | 1601 | home or at work | Premenopausal women: 1.2 (0.6–2.7) | |
| Young et al. [ | 6235 | 6533 | home or at work | 0.97 (0.88–1.08) | |
| Anderson et al. [ | 3101 | 3471 | home, at work or in social | Premenopausal women: 1.61 (0.74–3.52) | |
| Gao et al. [ | 669 | 682 | home | 1.47 (1.18–1.84) | |
| Hu et al. [ | 196 | 211 | Home, at work | 1.54 (0.94–2.52) | |
| Tong et al. [ | 312 | 312 | home | 1.46 (1.05–2.03) | |
| Pimhanam et al. [ | 444 | 444 | Home, at work or public | 2.27(1.30–3.98) | |
| Nishino et al. [ | 773 | 2057 | home or at work | 1.13 (0.90–1.42) | |
| Li et al. [ | 877 | 890 | home, at work | 2.17 1.45–3.23 | |
| Meta-analyses | |||||
| Johnson et al. [ | 19 cohort and case-control studies | home or at work | 1.27 (1.11–1.45) | ||
| Lee et al. [ | 22 cohort and case-control studies | home or at work | 1.54 (1.17–2.04) | ||
| Miller et al. [ | 19 cohort and case-control studies | home or at work | 1.25 (1.08–1.44) | ||
| Pirie et al. [ | 8 cohort studies | Home or at work | 1.01 (0.96–1.06) | ||
| 17 case-control studies | Home or at work | 1.21(1.11–1.32) | |||
| Yang et al. [ | 10 cohort studies | home, at work or public | 1.01 (0.96–1.06) | ||
| Chen et al. [ | 8 case-control studies | home | 1.67(1.27–2.21) | ||
| Macacu et al. [ | 11 cohort and 20 case-control studies | Home or at work | 1.20 (1.07–1.33) | ||
Fig. 2α9nAChR involved signal pathway in breast cancer. The three abundant α subunits expressed in breast tissue are able to form one homopentameric nAChR (α9nAChR) and two possible heteropentameric structures (α9α10-, α9α5-) of nAChRs. NNK and nicotine with estrogen stimulation can activate downstream transcription factors, AP1 and VDR through the PI3K/Akt and MAPK signaling pathways. The activation of AP1 and VDR transcription factors has been known by association with various cancer phenotypes including cell proliferation and migration. Binding of these transcription factors on the promoter region of α9-nAChR leads to a strong positive feedback loop