Relationships between lung cancer incidences and air pollutants

Lung Cancer and Air Quality in a Large Urban County in the United States

Lung cancer is the leading cancer-related killer in the United States. The incidence varies geographically and may be affected by environmental pollutants. Our goal was to determine associations within time series for specific air pollutants and lung cancer cases over a 33-year period in Wayne County, Michigan, controlling for population change. Lung cancer data for Wayne County were queried from the Michigan Cancer Registry from 1985 to 2018. Air pollutant data were obtained from the United States Environmental Protection Agency from 1980 to 2018. Autoregressive distributed lag (ARDL) models were estimated to investigate time lags in years between specific air pollution levels and lung cancer development. A total of 58,866 cases of lung cancer were identified. The mean age was 67.8 years. Females accounted for 53 percent of all cases in 2018 compared to 44 percent in 1985. Three major clusters of lung cancer incidence were detected with the most intense clusters in downtown Detroit and the heavily industrialized downriver area. Sulfur dioxide (SO2) had the strongest statistically significant relationship with lung cancer, showing both short- and long-term effects (lag range, 1-15 years). Particulate matter (PM2.5) (lag range, 1-3 years) and nitrogen dioxide (NO2) (lag range, 2-4 years) had more immediate effects on lung cancer development compared to carbon monoxide (CO) (lag range, 5-6 years), hazardous air pollutants (HAPs) (lag range, 9 years) and lead (Pb) (lag range, 10-12 years), which had more long-term effects on lung cancer development. Areas with poor air quality may benefit from targeted interventions for lung cancer screening and reductions in environmental pollution.

Proteomic response of A549 lung cancer cell line to protein-polysaccharide complex Venetin-1 isolated from earthworm coelomic fluid

Earthworms' celomic fluid has long attracted scientists' interest due to their toxic properties. It has been shown that the elimination of coelomic fluid cytotoxicity to normal human cells was crucial for the generation of the non-toxic Venetin-1 protein-polysaccharide complex, which exhibits selective activity against Candida albicans cells as well as A549 non-small cell lung cancer cells. To find the molecular mechanisms behind the anti-cancer properties of the preparation, this research investigated the proteome response of A549 cells to the presence of Venetin-1. The sequential window acquisition of all theoretical mass spectra (SWATH-MS) methodology was used for the analysis, which allows for a relative quantitative analysis to be carried out without radiolabelling. The results showed that the formulation did not induce significant proteome responses in normal BEAS-2B cells. In the case of the tumour line, 31 proteins were up regulated, and 18 proteins down regulated. Proteins with increased expression in neoplastic cells are mainly associated with the mitochondrion, membrane transport and the endoplasmic reticulum. In the case of altered proteins, Venetin-1 interferes with proteins that stabilise the structures, i.e., keratin, glycolysis/gluconeogenesis and metabolic processes.

PM2.5: Epigenetic Alteration in Lung Physiology and Lung Cancer Pathogenesis

Particulate matter (PM) has a very negative impact on human health, specifically the respiratory system. PM comes in many forms, among these is PM2.5,which is a major risk factor for lung cancer and other cardiovascular diseases. PM is inherent in emissions from industrial production, manufacturing, vehicle exhaust, mining, and cigarette smoking. For this reason, the composition of PM differs from area to area although its primary constituents are heavy metals and petroleum elements. PM has a long and toxic impact on human health. After extended exposure to PM2.5 the mortality rate for lung cancer patients increases. Already, lung cancer is the leading cause of death globally with the highest mortality rate. PM2.5 creates epigenetic changes in miRNA, histone modification, and DNA methylation, causing tumorigenesis followed by lung cancer.

Association between Air Pollution and Squamous Cell Lung Cancer in South-Eastern Poland

Air pollution is closely associated with the development of respiratory illness. The aim of the present study was to assess the relationship between long-term exposure to PM2.5, PM10, NO₂, and SO₂ pollution and the incidence of lung cancer in the squamous subtype in south-eastern Poland from the years 2004 to 2014. We collected data of 4237 patients with squamous cell lung cancer and the level of selected pollutants. To investigate the relationship between the level of concentrations of pollutants and the place of residence of patients with lung cancer in the squamous subtype, proprietary pollution maps were applied to the places of residence of patients. To analyze the data, the risk ratio was used as well as a number of statistical methods, i.e., the pollution model, inverse distance weighted interpolation, PCA, and ordered response model. Cancer in women and in men seems to depend in particular on the simultaneous inhalation of NO₂ and PM10 (variable NO₂PM10) and of NO₂ and SO₂ (variable NO₂ SO₂), respectively. Nitrogen dioxide exercises a synergistic leading effect, which once composed with the other elements it becomes more persistent in explaining higher odds in the appearance of cancers and could constitute the main cause of squamous cancer.

Risk Factors for Lung Cancer in the Province of Lecce: Results from the PROTOS Case–Control Study in Salento (Southern Italy)

In the province of Lecce (southern Italy), a higher incidence of lung cancer (LC) among men compared to regional and national data was reported. In a sub-area in the center of the province (cluster area), the incidence and mortality for LC was even higher. PROTOS is a case–control study aimed at investigating possible risk factors for LC in the province area. A total of 442 patients with LC and 1326 controls matched by sex and age living in the province of Lecce for at least 10 years were enrolled and georeferenced; they filled in a questionnaire with their personal information and exposures. For each risk factor, an Odds Ratio adjusted for all the other variables was calculated. The risk of LC increased with excessive use of alcohol in women, for those subjects with a family cancer history, for each increase in pack/year of cigarettes, for men more exposed considering the industrial district in the cluster area, and for those using pesticides in agriculture without wearing personal protective equipment. The higher incidence of adenocarcinoma in both sexes suggests that, in addition to cigarette smoking, concurrent exposures to other environmental, occupational, and life-style factors may play a role in increased cancer risk and should be more deeply explored.

Explainable Machine Learning Solution for Observing Optimal Surgery Timings in Thoracic Cancer Diagnosis

In this paper, we introduce an AI-based procedure to estimate and assist in choosing the optimal surgery timing, in the case of a thoracic cancer diagnostic, based on an explainable machine learning model trained on a knowledge base. This decision is usually taken by the surgeon after examining a set of clinical parameters and their evolution in time. Therefore, it is sometimes subjective, it depends heavily on the previous experience of the surgeon, and it might not be confirmed by the histopathological exam. Therefore, we propose a pipeline of automatic processing steps with the purpose of inferring the prospective result of the histopathologic exam, generating an explanation of why this inference holds, and finally, evaluating it against the conclusive opinion of an experienced surgeon. To obtain an accurate practical result, the training dataset is labeled manually by the thoracic surgeon, creating a training knowledge base that is not biased towards clinical practice. The resulting intelligent system benefits from both the precision of a classical expert system and the flexibility of deep neural networks, and it is supposed to avoid, at maximum, any possible human misinterpretations and provide a factual estimate for the proper timing for surgical intervention. Overall, the experiments showed a 7% improvement on the test set compared with the medical opinion alone. To enable the reproducibility of the AI system, complete handling of a case study is presented from both the medical and technical aspects.

MiR-582-3p participates in the regulation of biological behaviors of A549 cells by ambient PM2.5 exposure

Ambient fine particulate matter (PM_2.5) is one of the main environmental air pollutants that is closely related to the development of lung cancer, but the mechanisms are unclear. In this study, A549 cells were exposed to ambient PM_2.5 to investigate the alterations of biological behaviors, and the possible role of miR-582-3p in the effects was further explored. The findings showed that PM_2.5 exposure could significantly enhance the biological behaviors of A549 cells, and promote their epithelial-mesenchymal transition (EMT) transformation, especially at relatively low doses. Over-activation of Wnt/β-catenin signaling pathway and increased expression of miR-582-3p were also found in A549 cells after PM_2.5 exposure. After the knockdown of miR-582-3p in A549 cells, the effects of PM_2.5 on malignant biological behavior changes, EMT, and the activation of Wnt/β-catenin signaling pathway were all significantly alleviated. Furthermore, the inhibition of Wnt/β-catenin signaling pathway also inhibited the EMT process of A549 cells, which was rescued by the overexpression of miR-582-3p. Therefore, this study showed that ambient PM_2.5 can upregulate the expression of miR-582-3p, consequently activate the Wnt/β-catenin signaling pathway, and thereby enhance EMT transformation and promote the malignant biological behaviors of A549 cells. These findings provide evidence for further research into the mechanisms by which exposure to PM_2.5 in the environment promotes lung cancer.

Genetic polymorphisms of FCGR2A, ORAI1 and CD40 are associated with risk of lung cancer

FCGR2A, ORAI1 and CD40 are all involved in the immune and inflammatory responses in the human body, whereas its association with lung cancer is still unclear. This study aimed to investigate the effects of polymorphisms in these genes on the susceptibility to lung cancer. Six candidate single nucleotide polymorphisms (SNPs) were genotyped using a MassARRAY platform in a discovery cohort, including 400 lung cancer patients and 400 healthy controls, and validated in a replication cohort, including 529 lung cancer cases and 532 controls. Comparing the allele frequency distributions, we found that the rs1801274-G, rs511278-T and rs1883832-T were risk alleles for lung cancer (P < 0.05), whereas the minor allele of rs12320939-T was a protective allele for the disease (P = 0.037). Comparing the genotype frequency distributions, we found that rs1801274-GG, rs511278-CT and of rs1883832-TT were risk genotype for lung cancer (P < 0.05). Genetic model analysis showed that the rs1801274 A>G was correlated with an elevated risk of lung cancer in recessive and log-additive models (P < 0.05); rs511278 C>T exhibited an increased risk of disease in dominant and log-additive models (P < 0.05); rs1883832 C>T had a strong relationship with risk of disease in all three models (P < 0.001), whereas rs12320939 G>T was correlated to a reduced risk of disease in recessive and log-additive models (P < 0.05). Finally, the association between the above SNPs and lung cancer risk was validated in a replication cohort (P < 0.05). These results shed new light on the association between immune-related genes and risk of lung cancer, and might be useful for the identification of high-risk individuals.

Significant Regional Differences in Lung Cancer Incidence in Hungary: Epidemiological Study Between 2011 and 2016

Objective: Hungary has one of the highest incidences and mortality rates of lung cancer (LC), therefore the objective of this study was to analyse and compare LC incidence and mortality rates between the main Hungarian regions.

Methods: This nationwide, retrospective study used data from the National Health Insurance Fund and included patients aged ≥20 years who were diagnosed with lung cancer (ICD-10 C34) between Jan 1, 2011 and Dec 31, 2016. Age-standardized incidence and mortality rates were calculated and compared for the main regions.

Results: The highest incidence rate in males was recorded in Northern Hungary (146.8/100,000 person-years [PY]), while the lowest rate was found in Western Transdanubia (94.7/100,000 PY in 2011). All rates showed a declining trend between 2011 and 2016, with the largest decrease in the Northern Great Plain (−20.0%; p = 0.008). LC incidence and mortality rates in women both showed a rising tendency in all regions of Hungary, reaching the highest in Central Hungary (59.86/100,000 PY in 2016). Lung cancer incidence and mortality rates in males correlated with the level of education and smoking prevalence (p = 0.006 and p = 0.01, respectively) in the regions. A correlation with GDP per capita and Health Development Index (HDI) index could also be observed in the Hungarian regions, although these associations were not statistically significant. No correlations could be detected between these parameters among females.

Conclusion: This analysis revealed considerable differences in the epidemiology of LC between the 7 main Hungarian regions. LC incidence and mortality rates significantly correlated with smoking and certain socioeconomic factors in men, but not in women. Further research is needed to explain the regional differences.

Incidence and mortality for respiratory cancer and traffic-related air pollution in São Paulo, Brazil

BACKGROUND

Multiple lines of evidence have associated exposure to ambient air pollution with an increased risk of respiratory malignancies. However, there is a dearth of evidence from low-middle income countries, including those within South America, where the social inequalities are more marked.

OBJECTIVES

To quantify the association between exposures to traffic related air pollution and respiratory cancer incidence and mortality within São Paulo, Brazil. Further, we aim to investigate the role of socioeconomic status (SES) upon these outcomes.

METHODS

Cancer incidence between 2002 and 2011 was derived from the population-based cancer registry. Mortality data (between 2002 and 2013) was derived from the Municipal Health Department. A traffic density database and an annual nitrogen dioxide (NO₂) land use regression model were used as markers of exposure. Age-adjusted Binomial Negative Regression models were developed, stratifying by SES and gender.

RESULTS

We observed an increased rate of respiratory cancer incidence and mortality in association with increased traffic density and NO₂ concentrations, which was higher among those regions with the lowest SES. For cancer mortality and traffic exposure, those in the most deprived region, had an incidence rate ratio (IRR) of 2.19 (95% CI: 1.70, 2.82) when comparing the highest exposure centile (top 90%) to the lowest (lowest 25%). By contrast, in the least deprived area, the IRR for the same exposure contrast was.1.07 (95% CI: 0.95, 1.20). For NO₂ in the most deprived regions, the IRR for cancer mortality in the highest exposed group was 1.44 (95% CI: 1.10, 1.88) while in the least deprived area, the IRR for the highest exposed group was 1.11 (95% CI: 1.01, 1.23).

CONCLUSIONS

Traffic density and NO₂ were associated with an increased rate of respiratory cancer incidence and mortality in São Paulo. Residents from poor regions may suffer more from the impact of traffic air pollution.

Tumor suppressive roles of eugenol in human lung cancer cells

BACKGROUND

Eugenol, a natural compound available in Syzigium aromaticum (cloves), is exploited for various medicinal applications. Eugenol induces apoptosis and functions as an anti-cancer drug in several types of tumors. We investigated the tumor suppressive role and potential mechanisms of eugenol in human lung cancer cells.

METHODS

Human embryonic lung fibroblast MRC-5 and lung cancer adenocarcinoma A549 cells were incubated with or without various concentrations of eugenol for 24 hours. Cell counting kit 8 and crystal violet staining assays were performed to detect cell viability. The cell migration and invasion abilities were also determined by wound healing and transwell assays. Finally, Western blotting assay was performed to examine the changes in lung cancer cell viability and invasion of downstream targets after treatment with eugenol.

RESULTS

Eugenol could inhibit cell viability in lung cancer cells. Furthermore, eugenol obviously impaired cell migration and invasion. Finally, the expression levels of phosphate-Akt and MMP-2 in lung cancer cells were reduced after treatment with eugenol.

CONCLUSION

Our results demonstrated the tumor suppressive roles of eugenol on lung cancer cell proliferation, migration, and invasion partially through the PI3K/Akt pathway and MMP activity in vitro. These results suggest eugenol as a potential chemotherapeutic agent against human lung cancer.