The VNTR 48 bp Polymorphism in the DRD4 Gene Is Associated with Higher Tobacco Smoking in Male Mexican Mestizo Smokers with and without COPD

The role of the genetic influence of DRD4 in Chinese adults in the context of the choice of tourist attractions

The aim of this work was to analyse the effect of tandem repetitions in exon III of the DRD4 gene on the features of human decision-making in a model of choosing tourist attractions by adult residents of China. The study included 380 subjects: 162 (42.6%) men and 218 (57.4%) women. The mean age of the subjects was 31.7 ± 3.32 years. As a result of the survey of subjects, 5 groups of motivations for choosing tourist attractions were identified, and the frequency of their use, including the identified combinations, was determined. Using the genotyping method, the frequency of DRD4 subtypes among the subjects was determined, and their relationship with the indicated attraction selection groups was studied. It has been established that there is a significant dependence of the frequency of choosing the attractors 'relaxation', 'desire for novelty' and 'self-realization' and their combinations on the frequency of occurrence of the DRD4 2R, 4R and 5R+ subtypes in the study groups. A conclusion was made about the possible mechanism of the influence of manifestations of DRD4 subtypes on the choice of tourist attractors by implementing the neurophysiological influence of the genome on reducing the sensitivity of brain receptors to dopamine, which stimulates behaviours that compensate for the need for additional emotional influences. This work complements the existing knowledge about the impact of human innate properties on the characteristics of his behaviour and possible patterns of influence of human genotype variability on decision-making and suggests further possible directions of research in this area.

Subjective experiences at e-cigarette initiation: Implications for e-cigarette and dual/poly tobacco use among youth

BACKGROUND

Subjective experiences (SEs) at initiation of cigarettes, cigars, and smokeless tobacco have been established as predictors of continued use. To date, less is known about the relationships between SEs at e-cigarette initiation and subsequent e-cigarette use behaviors.

METHODS

This study used data from Waves 1-6 of the Texas Adolescent Tobacco and Marketing Surveillance (TATAMS) system; a population-based rapid response study of adolescents in major metropolitan areas of Texas. Participants were adolescents who self-reported ever using e-cigarettes across all 6 waves (n = 1,104; N = 460,069). Factor analyses examined structure of SEs at e-cigarette initiation. Weighted, multilevel, multivariate regression models examined role of SEs at e-cigarette initiation on subsequent past 30-day e-cigarette use behaviors.

RESULTS

Factor analyses identified a positive (i.e., euphoria, relaxation) and a negative (i.e., dizziness, cough, nausea) domain of SEs. Positive SEs at e-cigarette initiation predicted 1.20 (95% CI: 1.02-1.42) greater odds of subsequent past 30-day e-cigarette use. Similarly, positive SEs at e-cigarette initiation predicted greater relative risk of dual/poly e-cigarette use, relative to non-use (RRR: 1.61; 95% CI: 1.24-2.10) and exclusive e-cigarette use (RRR: 1.68; 95% CI: 1.26-2.24).

CONCLUSION

This is the first study to observe longitudinal relationships between SEs at e-cigarette initiation and subsequent e-cigarette use behaviors. Findings highlight the importance of preventing initial e-cigarette use among adolescents.

The benefits of smoking cessation on survival in cancer patients by integrative analysis of multi-omics data

Few studies have examined the association between smoking status (including former smokers) at diagnosis and overall survival among cancer patients. We aimed to assess the benefits of quitting smoking on cancer prognosis in cohorts of cancer patient smokers obtained from the Cancer Genome Atlas (TCGA) database. Hazard ratios (HR) were calculated to evaluate smoking behavior at cancer diagnosis (reformed smokers vs. current smokers) in association with overall survival using multivariate‐adjusted Cox regressions analysis. According to our analyses, quitting smoking was the independent protective factor for overall survival in lung squamous cell carcinoma (LUSC) (HR = 0.67, 95% CI = 0.48–0.94). Comprehensive analysis of multicomponent data across reformed and current smokers identified a total of 85 differential expressed genes (DEGs) affected by different modes of genetic and epigenetic regulation, potentially representing cancer drivers in smokers. Moreover, we provided a smoking‐associated gene expression signature, which could evaluate the true effect on prognosis with high power (HR = 1.70, 95% CI = 1.19–2.43, AUC = 0.65, 0.67, and 0.70 for 2‐, 3‐, and 5‐year survival, respectively). This signature was also applicable in other smoking‐related cancers, including bladder urothelial carcinoma (HR = 1.70, 95% CI = 1.01–2.88), cervical carcinoma (HR = 5.69, 95% CI = 1.37–23.69), head and neck squamous cell carcinoma (HR = 1.97, 95% CI = 1.41–2.76), lung adenocarcinoma (HR = 1.73, 95% CI = 1.16–2.57), and pancreatic adenocarcinoma (HR = 4.28, 95% CI = 1.47–12.47). In conclusion, this study demonstrates that quitting smoking at diagnosis decreases risk of death in cancer patients. We also provide a smoking‐associated gene expression signature to evaluate the effect of smoking on survival. Lastly, we suggest that smoking cessation could comprise a part of cancer treatment to improve survival rates of cancer patients.