Regional interaction of lung cancer incidence influenced by PM2.5 in China

Exploring age-standardized cancer incidence rates and regional disparities: A retrospective cohort study of 8 major cancers in South Korea

BACKGROUND

We analyzed trends in cancer incidence and regional disparities of eight major types of cancer in Korea.

METHODS

This retrospective cohort study used the data of 17 cities/provinces from the Korea Central Cancer Registry (1999-2020) in South Korea. Age-standardized incidence rates (per 100,000 person-years), between-group variance (per 100,000 person-years)2, and annual percentage changes ( %) were calculated for the eight most common malignancies. Joinpoint regression was utilized to identify the points at which significant changes occur in cancer incidence or regional disparity trends over time to characterize these trends.

RESULTS

The incidence of stomach cancer decreased as regional disparity decreased and that of colorectal cancer initially increased but recently declined, showing fluctuations in regional disparity. The incidence and regional disparity in liver cancer decreased. The incidence of lung cancer remained stable, with reduced regional disparities. The incidence of breast cancer rose with increasing regional disparity, whereas the incidence of cervical cancer decreased, accompanied by decreased regional disparity. A significant increase in prostate cancer was found, with initially reduced regional disparities but later showed a resurgence. The incidence of thyroid cancer fluctuated alongside variations in regional disparities.

CONCLUSION

This study revealed cancer incidence and regional variations in each cancer type in Korea. More studies are needed to understand the underlying factors and potential interventions for reducing cancer incidence and addressing regional disparity.

Exploring the association of PM2.5 with lung cancer incidence under different climate zones and socioeconomic conditions from 2006 to 2016 in China

Air pollution generated by urbanization and industrialization poses a significant negative impact on public health. Particularly, fine particulate matter (PM2.5) has become one of the leading causes of lung cancer mortality worldwide. The relationship between air pollutants and lung cancer has aroused global widespread concerns. Currently, the spatial agglomeration dynamic of lung cancer incidence (LCI) has been seldom discussed, and the spatial heterogeneity of lung cancer's influential factors has been ignored. Moreover, it is still unclear whether different socioeconomic levels and climate zones exhibit modification effects on the relationship between PM2.5 and LCI. In the present work, spatial autocorrelation was adopted to reveal the spatial aggregation dynamic of LCI, the emerging hot spot analysis was introduced to indicate the hot spot changes of LCI, and the geographically and temporally weighted regression (GTWR) model was used to determine the affecting factors of LCI and their spatial heterogeneity. Then, the modification effects of PM2.5 on the LCI under different socioeconomic levels and climatic zones were explored. Some findings were obtained. The LCI demonstrated a significant spatial autocorrelation, and the hot spots of LCI were mainly concentrated in eastern China. The affecting factors of LCI revealed an obvious spatial heterogeneity. PM2.5 concentration, nighttime light data, 2 m temperature, and 10 m u-component of wind represented significant positive effects on LCI, while education-related POI exhibited significant negative effects on LCI. The LCI in areas with low urbanization rates, low education levels, and extreme climate conditions was more easily affected by PM2.5 than in other areas. The results can provide a scientific basis for the prevention and control of lung cancer and related epidemics.

Using a human bronchial epithelial cell-based malignant transformation model to explore the function of hsa-miR-200 family in the progress of PM2.5-induced lung cancer development

Numerous studies have revealed that ambient long-term exposure to fine particulate matter (PM_2.5) is significantly related to the development of lung cancer, but the molecular mechanisms of PM_2.5 exposure-induced lung cancer remains unknown. As an important epigenetic regulator, microRNAs (miRNAs) play vital roles in responding to environment exposure and various diseases including lung cancer development. Here we constructed a PM_2.5-induced malignant transformed cell model and found that miR-200 family, especially miR-200a-3p, was involved in the process of PM_2.5 induced lung cancer. Further investigation of the function of miR-200 family (miR-200a-3p as a representative revealed that miR-200a-3p promoted cell migration by directly suppressing TNS3 expression. These results suggested that ambient PM_2.5 exposure may increase the expression of miR-200 family and then promote the proliferation and migration of lung cancer cells. Our study provided novel model and insights into the molecular mechanism of ambient PM_2.5 exposure-induced lung cancer.

The Goal of Carbon Peaking, Carbon Emissions, and the Economic Effects of China's Energy Planning Policy: Analysis Using a CGE Model

This study focuses on the effects of China's carbon peaking policy, investigating how to balance nonfossil energy consumption and coal consumption to achieve China's carbon peaking policy goal. The research applies the recursive dynamic computable general equilibrium model to simulate the impact of China's energy planning policies using five scenarios to analyze the carbon emissions and economic effects of China's energy planning policy from the perspectives of energy use, carbon emissions, the macroeconomy, and institutional income. The simulation results indicate that to achieve the goal of carbon peaking by 2030, the annual installed capacity of nonfossil energy must reach 112.29 gigawatts, and average annual coal consumption in the China 15th Five-Year Plan and 16th Five-Year Plan should be reduced by 20 million and 40 million tons, respectively, which will result in the proportion of nonfossil energy in primary energy consumption reaching about 25%. Limiting coal consumption will slow economic growth, whereas increasing the installed capacity of nonfossil energy will stimulate economic growth. The combined policies will have a significant impact on reducing carbon emissions and achieving the carbon peaking goal and will also offset the adverse effects of such policies on the macroeconomy.

[Analysis on the Incidence and Economic Burden of Patients with Lung Cancer]

BACKGROUND

The previous study has indicated that lung cancer has a high incidence and mortality in China, and has caused a large economic burden. The purpose of this study was to analyze the incidence and economic burden of lung cancer by analyzing the information on the home page of discharge history of lung cancer patients in Hebei Tumor Hospital, and to provide scientific basis for the prevention and treatment of lung cancer.

METHODS

The information of all of the discharges, new cases, surgical patients, age, gender, length of stay and hospitalization cost of lung cancer patients in Hebei Tumor Hospital from January 2012 to December 2019 were retrieved based on the medical record management system, and the incidence trend, gender and age distribution as well as the economic burden of the disease were statistically described.

RESULTS

The number of new cases of lung cancer increased year by year, from 2,235 cases in 2012 to 5,012 cases in 2019. The number of males always outnumbered females, but the gender ratio decreased year by year, from 2.25 in 2012 to 1.56 in 2019. Among new cases of lung cancer, the proportion of surgical treatment increased year by year, from 28.14% in 2012 to 44.83% in 2019. Except for 2012, the proportion of surgical operations in female patients was higher than that in male patients from 2013 to 2019. The proportion of surgical operations in male and female patients was 23.52% and 28.07% in 2013, and 36.14% and 58.37% in 2019, respectively. The median age at the onset of lung cancer has increased year by year, from 61 years old in 2012 to 63 years old in 2019. The median age of onset in all lung cancer patients was higher in males than in females. The number of new lung cancer patients and surgical patients both showed an increasing trend with the increase of age, and both reached the maximum value in the age group of 60-69 years old. With the increase of age, the number of patients gradually decreased. The median length of hospital stay for all discharged lung cancer patients or surgical patients decreased year by year, from 10 d and 19 d in 2012 to 8 d and 17 d in 2019, respectively, while the median hospitalization cost increased year by year. It increased from 10,611.46 yuan and 38,750.13 yuan in 2012 to 17,187.15 yuan and 84,030.16 yuan in 2019, respectively.

CONCLUSIONS

Lung cancer is still one of the main cancers endangering the health of Chinese residents. The incidence of lung cancer is increasing year by year, and the distribution of gender and age has certain characteristics. In order to reduce the number of cases and the economic burden, effective prevention and control measures should be formulated and medical reform should be strengthened.