Examination of incidence, mortality and disability-adjusted life years and risk factors of breast cancer in 49 Asian countries, 1990-2019: estimates from Global Burden of Disease Study 2019

Trends in breast cancer mortality attributable to metabolic risks in Chinese women from 1990 to 2019: an age-period-cohort analysis

Objective

Metabolic risks (MRs) are the primary determinants of breast cancer (BC) mortality among women. This study aimed to examine the changing trends in BC mortality associated with MRs and explore how they related to age, time period, and birth cohorts in Chinese women aged 25 and above.

Methods

Data were sourced from the Global Burden of Disease Study 2019 (GBD2019). The BC mortality trajectories and patterns attributable to MRs were assessed using Joinpoint regression. The age-period-cohort (APC) model was employed to evaluate cohort and time period effects.

Results

The age-standardized mortality rate (ASMR) of BC mortality linked to MRs displayed an escalating trend from 1990 to 2019, demonstrating an average annual percentage change (AAPC) of 1.79% (95% CI: 1.69~1.87). AAPCs attributable to high fasting plasma glucose (HFPG) and high body mass index (HBMI) were 0.41% (95% CI: 0.32~0.53) and 2.75% (95% CI: 2.68~2.82), respectively. APC analysis revealed that BC mortality due to HBMI in women aged 50 and above showed a rise with age and mortality associated with HFPG consistently demonstrated a positive correlation with age. The impact of HBMI on BC mortality significantly outweighed that of HFPG. The risk of BC mortality linked to HBMI has steadily increased since 2005, while HFPG demonstrated a trend of initial increase followed by a decrease in the period effect. Regarding the cohort effect, the relative risk of mortality was greater in the birth cohort of women after the 1960s of MRs on BC mortality, whereas those born after 1980 displayed a slight decline in the relative risk (RR) associated with BC mortality due to HBMI.

Conclusion

This study suggests that middle-aged and elderly women should be considered as a priority population, and control of HBMI and HFPG should be used as a primary tool to control metabolic risk factors and effectively reduce BC mortality.

Temporal patterns of breast cancer incidence, mortality, disability-adjusted life years and risk factors in 12 South American Countries, 1990-2019: an examination using estimates from the global burden of disease 2019 study

BACKGROUND AND AIM

Breast cancer (BC) is one of the leading causes of cancer deaths in females in South America. This study aims to examine the BC burden in 12 South American countries between 1990 and 2019.

DATA AND METHODS

The estimates of BC burden and risk factors were procured from the Global Burden of Disease 2019 study for the period 1990-2019. Development levels of countries were gauged using socio-demographic index (SDI). Decomposition analysis was employed to categorize the change in incidence between 1990 and 2019 into three factors: population growth, population aging and age-specific incidence rate. Estimated annual percent changes were calculated for each country and bivariate association between country-level age-standardized rates and SDI was examined using pooled regression.

RESULTS

The age-standardized rates of breast cancer were the highest in Uruguay [incidence: 72.65 per 100,000 (55.79-92.57); mortality: 29.97 per 100,000 (27.54-32.27); disability-adjusted life years (DALYs: 810.49 per 100,000 (746.22-884.55)] and lowest in Peru [incidence: 27.63 per 100,000 (20.44-36.85); mortality: 10.79 per 100,000 (8.14-14.11); DALYs: 318.27 per 100,000 (234.47-421.16)]. Mortality-to-incidence ratio (MIR) across countries varied from 0.30 in Colombia to 0.55 in Bolivia in 2019. SDI had a positive and strong association with age-standardized incidence rate [Formula: see text] and weaker positive association with age-standardized mortality rate [Formula: see text] and age-standardized DALYs rate [Formula: see text]. Most countries experienced more than 70% increase in incident cases owing to population aging and age-specific incidence rates. Alcohol Use, diet high in red meat and smoking contributed the maximum DALYs in most countries in 2019 whereas DALYs due to high body-mass index and high fasting plasma glucose increased most substantially between 1990 and 2019.

CONCLUSION

With increasing incidence, high MIR and rising BC burden due to modifiable risk factors, several public health interventions are required in South America focusing on prevention, BC awareness among general public, cost-effective early detection and treatments that suit the socio-economic setup of South American countries.

Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography

OBJECTIVE

To assess the significance of peritumoral features based on deep learning in classifying non-spiculated and noncalcified masses (NSNCM) on mammography.

METHODS

We retrospectively screened the digital mammography data of 2254 patients who underwent surgery for breast lesions in Harbin Medical University Cancer Hospital from January to December 2018. Deep learning and radiomics models were constructed. The classification efficacy in ROI and patient levels of AUC, accuracy, sensitivity, and specificity were compared. Stratified analysis was conducted to analyze the influence of primary factors on the AUC of the deep learning model. The image filter and CAM were used to visualize the radiomics and depth features.

RESULTS

For 1298 included patients, 771 (59.4%) were benign, and 527 (40.6%) were malignant. The best model was the deep learning combined model (2 mm), in which the AUC was 0.884 (P < 0.05); especially the AUC of breast composition B reached 0.941. All the deep learning models were superior to the radiomics models (P < 0.05), and the class activation map (CAM) showed a high expression of signals around the tumor of the deep learning model. The deep learning model achieved higher AUC for large size, age >60 years, and breast composition type B (P < 0.05).

CONCLUSION

Combining the tumoral and peritumoral features resulted in better identification of malignant NSNCM on mammography, and the performance of the deep learning model exceeded the radiomics model. Age, tumor size, and the breast composition type are essential for diagnosis.

Global Trends in Death, Years of Life Lost, and Years Lived With Disability Caused by Breast Cancer Attributable to Secondhand Smoke From 1990 to 2019

Background

Secondhand smoke is an important risk factor to breast cancer patients’ survival. This article aimed to describe the epidemiological changes of health loss caused by female breast cancer attributable to secondhand smoke from 1990 to 2019.

Methods

Data on breast cancer was derived from the Global Burden of Disease study 2019. The epidemiological status and trends were estimated using the number, age-standardized rate (ASR), and estimated annual percentage change (EAPC).

Results

In 2019, secondhand smoke-related breast cancer caused 168.33×10² death, 5242.58×10² years of life lost (YLLs), and 334.03×10² years lived with disability (YLDs) globally. The overall ASR of death and YLLs caused by breast cancer attributable to secondhand smoke presented decreasing trends from 1990 to 2019, with the respective EAPCs of −0.78 and −0.87. Meanwhile, decreasing trends occurred in most geographic regions, particularly that of YLLs in high-income North America (EAPC = −3.35). At the national level, most countries/territories had decreasing trends of death and YLLs, particularly Denmark, in which the respective EAPCs were −4.26 and −4.64. However, the ASR of YLDs showed an increasing trend globally (EAPC = 0.32). Meanwhile, increasing trends were observed in most regions and countries, particularly the Solomon Islands and Lesotho, with the respective EAPCs being 6.18 and 4.33. The changing trends were closely associated with sociodemographic development.

Conclusions

Trends in secondhand smoke-related death and YLLs caused by breast cancer declined from 1990 to 2019. However, secondhand smoke remains a challenge to the patients’ longevity and quality of life. The findings informed strategies should be strengthened the control of secondhand smoking.

Breast Cancer Mortality Trends and Predictions to 2030 and Its Attributable Risk Factors in East and South Asian Countries

Background

Amidst the rising breast cancer burden in Asia, we aim to predict the future mortality risk due to breast cancer and identify the risk-attributable deaths for breast cancer among East and South Asian countries.

Methods

We used country-level data to predict the trends in the next decade relating to female breast cancer mortality by employing data from 1990 to 2019 from the Global Burden of Disease 2019 study. We used the stochastic mortality modeling and prediction techniques to forecast the age-specific and risk-attributable breast cancer mortality trends at the regional and national levels of East and South Asia.

Results

The number of deaths caused by the breast cancer is predicted to increase in East and South Asian countries in the next decade (2020-2030). Age-standardized death rate (ASDR) of breast cancer is predicted to increase by 7.0% from 9.20/100,000 (95% CI: 6.04-12.12) in 1990 to 9.88/100,000 (95% CI: 7.12-11.4) in 2030 in East Asia, and about 35% increase from 13.4/100,000 (95% CI: 9.21-16.02) in 1990 to 18.1/100,000 (95% CI: 13.23-21.10) in 2030 in South Asia. At the national level, the highest percent change in ASDR between 1990 and 2030 was reported in Pakistan (a 62% increase) and Nepal (a 47% increase). The highest percent change in breast cancer mortality between 2020 and 2030 for females of age group 80-84 years was observed in Pakistan [21.6, (95% CI, 20.6-94.7)], followed by Afghanistan [13.3 (4.0-80.8)], and Nepal [36.6 (11.1-125.7)] as compared to the other countries. In the females of aged 50-80 years, the predicted death rates were associated with high body mass index, high-fasting plasma glucose, and diet high in red meat, across the majority of countries under study. Furthermore, reductions in percent change in mortality rates occurred in several countries with increases in sociodemographic index (SDI), notably across high SDI countries.

Conclusion

Breast cancer mortality risk varies substantially across East and South Asian countries with higher mortality risk in low/middle SDI countries. Early detection using screening, awareness among females and health workers, and cost-effective and timely treatment of patients with breast cancer is vital in stemming the tide of breast cancer in the next decade.

Spatial and temporal patterns of prostate cancer burden and their association with Socio-Demographic Index in Asia, 1990-2019

BACKGROUND

Prostate cancer is the second most frequently diagnosed cancer for males worldwide, but the spatial and temporal trends of prostate cancer burden remain unknown in Asia. This study aimed to investigate the changing spatial and temporal trends of incidence, prevalence, mortality, disability-adjusted life year (DALY), and mortality-to-incidence ratio (MIR) of prostate cancer, and their association with the Socio-Demographic Index (SDI) in 48 Asian countries from 1990 to 2019.

METHODS

Data were extracted from the Global Health Data Exchange query tool, covering 48 Asian countries from 1990 to 2019. The average annual percent change was calculated to evaluate temporal trends. Spatial autocorrelation analysis was used to obtain spatial patterns, and the association between SDI and prostate cancer burden was estimated using a spatial panel model.

RESULTS

In Asia, the age-standardized incidence and prevalence of prostate cancer increased in almost all countries, and its mortality and DALY also increased in over half of the countries. Significantly regional disparities were found in Asia, and the hot spots for incidence, prevalence, mortality, and DALY were all located in Western Asia, the hot spots of percent change also occurred in Western Asia for incidence and DALY. Furthermore, SDI had a positive association with mortality (coef = 2.51, 95% confidence interval [CI]: 2.13-2.90) and negative association with DALY (coef = -14.99, 95% CI: -20.37 to -9.60) and MIR (coef = -0.95, 95%CI: -0.99 to -0.92).

CONCLUSIONS

Prostate cancer burden increased rapidly throughout Asia and substantial disparities had persisted between countries. Geographically targeted interventions are needed to reduce the prostate cancer burden throughout Asia and in specific countries.

Long Noncoding RNA 00472: A Novel Biomarker in Human Diseases

Long non-coding RNAs (lncRNAs) play important roles in human diseases. They control gene expression levels and influence various biological processes through multiple mechanisms. Functional abnormalities in lncRNAs are strongly associated with occurrence and development of various diseases. LINC00472, which is located on chromosome 6q13, is involved in several human diseases, particularly cancers of the breast, lung, liver, osteosarcoma, bladder, colorectal, ovarian, pancreatic and stomach. Importantly, LINC00472 can be used as a biomarker for breast cancer cell sensitivity to chemotherapeutic regimens, including doxorubicin. LINC00472 is regulated by microRNAs and several signaling pathways. However, the significance of LINC00472 in human diseases has not been clearly established. In this review, we elucidate on the significance of LINC00472 in various human diseases, indicating that LINC00472 may be a diagnostic, prognostic as well as therapeutic target for these diseases.