Tobacco carcinogens and the methionine metabolism in human bladder cancer

AKR1C2 genetic variants mediate tobacco carcinogens metabolism involving bladder cancer susceptibility

Tobacco carcinogens metabolism-related genes (TCMGs) could generate reactive metabolites of tobacco carcinogens, which subsequently contributed to multiple diseases. However, the association between genetic variants in TCMGs and bladder cancer susceptibility remains unclear. In this study, we derived TCMGs from metabolic pathways of polycyclic aromatic hydrocarbons and tobacco-specific nitrosamines, and then explored genetic associations between TCMGs and bladder cancer risk in two populations: a Chinese population of 580 cases and 1101 controls, and a European population of 5930 cases and 5468 controls, along with interaction and joint analyses. Expression patterns of TCMGs were sourced from Nanjing Bladder Cancer (NJBC) study and publicly available datasets. Among 43 TCMGs, we observed that rs7087341 T > A in AKR1C2 was associated with a reduced risk of bladder cancer in the Chinese population [odds ratio (OR) = 0.84, 95% confidence interval (CI) = 0.72-0.97, P = 1.86 × 10-2]. Notably, AKR1C2 rs7087341 showed an interaction effect with cigarette smoking on bladder cancer risk (Pinteraction = 5.04 × 10-3), with smokers carrying the T allele increasing the risk up to an OR of 3.96 (Ptrend < 0.001). Genetically, rs7087341 showed an allele-specific transcriptional regulation as located at DNA-sensitive regions of AKR1C2 highlighted by histone markers. Mechanistically, rs7087341 A allele decreased AKR1C2 expression, which was highly expressed in bladder tumors that enhanced metabolism of tobacco carcinogens, and thereby increased DNA adducts and reactive oxygen species formation during bladder tumorigenesis. These findings provided new insights into the genetic mechanisms underlying bladder cancer.

Effect of Lead Exposure and Lifestyle Factors on Methylation Index Markers Among Pb-Exposed Workers

S-Adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH) and the ratio of SAM and SAH in Pb-exposed workers need to be assessed. In this study, we investigated the effects of Pb exposure on SAM, SAH, and methylation index (MI) in Pb-exposed workers with contemplation of lifestyle factors. Blood lead levels (BLLs), SAM, SAH, MI, and lifestyle factors were assessed in 338 male Pb-exposed workers. BLLs are estimated by ICP-OES method. SAM and SAH levels in serum were determined by ELISA method. The MI was calculated using SAM and SAH individual values. The lifestyle factors were collected using standard questionnaire. Levels of SAM and MI were significantly decreased with increased age, experience > 5 years, habits of tobacco chewing, smoking, alcohol consumption, and BLLs 10-30, 30-50, and > 50 µg/dL. Levels of SAH were significantly increased with increased age, habits of tobacco chewing and smoking, and BLLs 10-30, 30-50, and > 50 µg/dL. The association between BLLs and methylation index markers (SAM and MI) was reported as negative and significant. The association between BLLs and SAH was noted positive and significant. The influence of BLLs and lifestyle factors on SAM was noted at 12%, SAH at 35%, and MI at 27%, respectively. The highest percentage of influence was noted in SAH, followed by MI and SAM. In the workers exposed to Pb, lifestyle factors resulted in decreased SAM and MI and increased SAH levels. Adaptation of healthy lifestyle factors, personal hygiene practices, and use of PPE were suggested to minimize the reduction of methylation index markers.

Machine learning identifies the role of SMAD6 in the prognosis and drug susceptibility in bladder cancer

BACKGROUND

Bladder cancer (BCa) is among the most prevalent malignant tumors affecting the urinary system. Due to its highly recurrent nature, standard treatments such as surgery often fail to significantly improve patient prognosis. Our research aims to predict prognosis and identify precise therapeutic targets for novel treatment interventions.

METHODS

We collected and screened genes related to the TGF-β signaling pathway and performed unsupervised clustering analysis on TCGA-BLCA samples based on these genes. Our analysis revealed two novel subtypes of bladder cancer with completely different biological characteristics, including immune microenvironment, drug sensitivity, and more. Using machine learning classifiers, we identified SMAD6 as a hub gene contributing to these differences and further investigated the role of SMAD6 in bladder cancer in the single-cell transcriptome data. Additionally, we analyzed the relationship between SMAD6 and immune checkpoint genes. Finally, we performed a series of in vitro assays to verify the function of SMAD6 in bladder cancer cell lines.

RESULTS

We have revealed two novel subtypes of bladder cancer, among which C1 exhibits a worse prognosis, lower drug sensitivity, a more complex tumor microenvironment, and a 'colder' immune microenvironment compared to C2. We identified SMAD6 as a key gene responsible for the differences and further explored its impact on the molecular characteristics of bladder cancer. Through in vitro experiments, we found that SMAD6 promoted the prognosis of BCa patients by inhibiting the proliferation and migration of BCa cells.

CONCLUSION

Our study reveals two novel subtypes of BCa and identifies SMAD6 as a highly promising therapeutic target.

An integrative approach for identification of smoking-related genes involving bladder cancer

Tobacco smoking is one of the most important environmental risk factors involving bladder tumorigenesis. However, smoking-related genes in bladder carcinogenesis and corresponding genetic effects on bladder cancer risk remain unclear. Weighted correlation network analysis (WGCNA) underlying transcriptome of bladder cancer tissues was applied to identify smoking-related genes. The logistic regression model was utilized to estimate genetic effects of single nucleotide polymorphisms (SNPs) in smoking-related genes on bladder cancer risk in the Chinese and European populations with a total of 6510 cases and 6569 controls, as well as the interaction with smoking status. Transcriptome of cells and tissues was used to profile the expression pattern of candidate genes and their genetic variants. Our results demonstrated that a total of 24 SNPs in 14 smoking-related genes were associated with the risk of bladder cancer, of which rs9348451 in CDKAL1 exhibited an interaction with smoking status (OR_interaction = 1.38, P_interaction = 1.08 × 10^-2) and tobacco smoking might combine with CDKAL1 rs9348451 to increase the risk of bladder cancer (P_trend = 4.27 × 10^-4). Moreover, rs9348451 was associated with CDKAL1 expression in bladder cancer, especially in smokers (P < 0.001). Besides, CDKAL1 was upregulated in bladder cancer compared to normal adjacent tissues, as well as upregulated via treatment of cigarette smoke extracts. This study highlights the important role of nurture and nature, as well as their interaction on tumorigenesis, which provides a new way to decipher the etiology of bladder cancer with smoking status.

Metabolomics-based molecular signatures reveal the toxic effect of co-exposure to nitrosamines in drinking water

Nitrosamines, a group of emerging nitrogenous pollutants, are ubiquitously found in the drinking water system. However, less is known about how systemic biological responses resist or tolerate nitrosamines, especially long-term co-exposure at low concentrations. In this study, untargeted metabolomics was used to investigate the metabolic perturbations in human esophageal epithelial Het-1A cells induced by a mixture of nine common nitrosamines in drinking water at environmentally relevant, human-internal-exposure, and genotoxic concentrations. Generally, the disrupted metabolic spectrum became complicated with nitrosamines dose increasing. Notably, two inflammation-associated pathways, namely, cysteine (Cys) and methionine (MET) metabolism, and nicotinate and nicotinamide metabolism, changed significantly under the action of nitrosamines, even at the environmentally relevant level. Furthermore, targeted metabolomics and molecular biology indicators in cells were identified in mice synchronously. For one thing, the up-regulated Cys and MET metabolism provided methyl donors for histone methylation in the context of pro-inflammatory response. For another, the down-regulated NAD⁺/NADH ratio inhibited the deacetylation of NF-кB p65 and eventually activated the NF-кB signaling pathway. Taken collectively, the metabolomics molecular signatures were important indicative markers for nitrosamines-induced inflammation. The potential crosstalk between the inflammatory cascade and metabolic regulation also requires further studies. These findings suggest that more attention should be paid to long-term co-exposure at low concentrations in the control of nitrosamines pollution in drinking water. Additionally, this study also highlights a good prospect of the combined metabolomic-molecular biology approach in environmental toxicology.

A review of tobacco abuse and its epidemiological consequences

Aim

The economic burden caused by death and disease in the world is credited mainly to tobacco use—currently linked to approximately 8,000,000 deaths per year with approximately 80% of these faralities reported in low and middle income economies. The World Health Organization (WHO) estimates that nearly 7,000,000 deaths are attributed to direct tobacco use, while approximately 1,200,000 non-smokers exposed to second hand cigarette smoke die every year. Accordingly, tobacco use is a major threat to the public health infrastructure; therefore, proper cessation interventions must be put in place to curb tobacco abuse and ease economic and social burdens caused by the tobacco epidemic.

Methods

A systematic review was conducted to investigate how scientific efforts have been advanced towards harm reduction among smokers and non-smokers. Relevant articles published during the period 2010–2020 in PubMed, Crossref, Google scholar, and Web of Science were used in this study. The articles were selected based on health impacts of cigarette smoking, tobacco cessation and emerging diseases, including Covid−19. Various cessation strategies have been identified although their efficiency is yet to match the desired results.

Results

A series of carcinogenic chemicals are generated during cigarette smoking resulting in serious health complications such as cancer and mutagenesis. The precursors for tobacco induced diseases are toxic and carcinogenic chemicals of the nitrosamine type, aldehydes, polonium-210 and benzo[a]pyrene, which bio-accumulate in the body system during cigarette smoking to cause disease. Rehabilitation facilities, use of drugs to diminish the desire to smoke, heavy taxation of tobacco products and warning labels on cigarettes are some of the cessation strategies employed towards curbing tobacco abuse.

Conclusion

The need for further research to develop better methods and research based policies for safe cigarette smoking and workable cessation strategies must be a priority in order to deal with the tobacco epidemic. Campaigns to promote tobacco cessation and abstinence are recommended in this review as a sure measure to mitigate against the deleterious impacts caused by cigarette smoking and tobacco abuse.