BACKGROUND: The burden of breast cancer for older adults has been rising with the increasing population aging. This study aims to describe the burden of breast cancer in older adults worldwide, analyze the temporal trends for older breast cancer incidence, and assess the socioeconomic inequalities of breast cancer incidence and mortality with human development index (HDI) levels, which will provide valuable information in preventing and controlling the increasing breast cancer burden in older women. METHODS: The incidence and mortality rates of specific cancer types in older individuals in 2022 were sourced from the Global Cancer Today database. Trends in breast cancer incidence acquired from the Cancer Incidence in Five Continents (CI5) database. HDI and other risk factors were obtained from the United Nations. We used a generalized linear model to estimate the rate ratio and 95% confidence interval (CI) between HDI levels and breast cancer burden in older people. RESULTS: It was estimated approximately 1,058,466 newly diagnosed breast cancer cases and 383,774 breast cancer deaths in women ≥60 years, accounting for 18.9% and 12.7% of global cancer cases and deaths. The age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) were 172.9 and 57.7 per 100,000, ranking first and second among all cancer incidence and mortality in older women. The highest ASIR and ASMR were four-fold higher than the lowest, with ASIR ranging from a peak of 399.1 per 100,000 in Australia-New Zealand to a low of 90.6 per 100,000 in South Central Asia, and ASMR varying from a high of 118.6 per 100,000 in Melanesia to a low of 28.8 per 100,000 in East Asia. The largest increases in ASIR from 1998-2002 to 2013-2017 were observed in South Korea, China, and Estonia. The corresponding estimated 5-year average percentage changes (EAPC) were 6.01%, 2.89%, and 1.93%, respectively. CONCLUSIONS The global burden of breast cancer in older women is increasing fast and varies greatly across countries. Effective prevention strategies are essential to address the increasing breast cancer burden for older women.
Humans ; Female ; Breast Neoplasms/epidemiology* ; Aged ; Incidence ; Middle Aged ; Registries ; Aged, 80 and over ; Risk Factors

The Cancer Incidence in Five Continents(CI5)database are jointly maintained by the International Agency for Research on Cancer(IARC)and the International Association of Cancer Registries(IACR),both affiliated to the World Health Organization.This paper provides a histori-cal overview of cancer registration efforts in China,systematically summarizes the journey and en-deavors of Chinese cancer registries as they were incorporated into IARC and CI5.Furthermore,it offers a perspective on the strategies for advancing the high-quality development of cancer registra-tion activities within the nation.

Objective:To develop a tool package that meets the routine statistical analysis requirements of population-based cancer registries in China based on R language, with the aim of improving data quality and efficiency, and promoting the nationwide scientific utilization of cancer registry data.Methods:The functional demands for statistical analysis of population-based cancer registry staff were collected through questionnaires or face-to-face interviews. Based on the concept of generic functions in R software's S3 object system, functions were developed by defining specific S3 classes for different data types, allowing the same function to perform diverse tasks depending on the class of input data. A stepwise development strategy was adopted to ensure logical coherence among functional modules, and all functions were systematically tested and validated in accordance with standard R package development guidelines.Results:Six categories of functions, including data reading, data manipulation, data processing, statistical calculation, visualization, and statistical reporting, were developed to support routine statistical analysis of population-based cancer registry data. Data reading functions support reading data formats required by the National Cancer Registry. Data manipulation functions empower conditional filtering of registry data and support regrouping, merging, or transforming the data based on registry attributes (such as urban/rural location) to accommodate different analytical needs. Data processing functions includes age grouping, International Classification of Diseases 10 th Revision (ICD-10) classification, childhood cancer classification, and population estimation. Statistical calculation functions permit the calculation of age-standardized rates, truncated rates, cumulative rates, cumulative risks, life tables, and expansion from abridged to complete life tables. Visualization functions can generate commonly used statistical charts, including population pyramids, bar charts, and line graphs. Statistical reporting functions can integrate key indicators, charts, and narrative descriptions into comprehensive cancer registry reports. Conclusion:An R package named Canregtools was developed based on the concept of S3 generic functions. This package is free of charge, open-source, and highly efficient. It can meet the diversified needs in cancer registry data analysis, visualization, and reporting through standardized data processing workflows, thereby enhancing the quality and efficiency of routine statistical analysis in population-based cancer registries in China.

Objective:To develop a tool package that meets the routine statistical analysis requirements of population-based cancer registries in China based on R language, with the aim of improving data quality and efficiency, and promoting the nationwide scientific utilization of cancer registry data.Methods:The functional demands for statistical analysis of population-based cancer registry staff were collected through questionnaires or face-to-face interviews. Based on the concept of generic functions in R software's S3 object system, functions were developed by defining specific S3 classes for different data types, allowing the same function to perform diverse tasks depending on the class of input data. A stepwise development strategy was adopted to ensure logical coherence among functional modules, and all functions were systematically tested and validated in accordance with standard R package development guidelines.Results:Six categories of functions, including data reading, data manipulation, data processing, statistical calculation, visualization, and statistical reporting, were developed to support routine statistical analysis of population-based cancer registry data. Data reading functions support reading data formats required by the National Cancer Registry. Data manipulation functions empower conditional filtering of registry data and support regrouping, merging, or transforming the data based on registry attributes (such as urban/rural location) to accommodate different analytical needs. Data processing functions includes age grouping, International Classification of Diseases 10 th Revision (ICD-10) classification, childhood cancer classification, and population estimation. Statistical calculation functions permit the calculation of age-standardized rates, truncated rates, cumulative rates, cumulative risks, life tables, and expansion from abridged to complete life tables. Visualization functions can generate commonly used statistical charts, including population pyramids, bar charts, and line graphs. Statistical reporting functions can integrate key indicators, charts, and narrative descriptions into comprehensive cancer registry reports. Conclusion:An R package named Canregtools was developed based on the concept of S3 generic functions. This package is free of charge, open-source, and highly efficient. It can meet the diversified needs in cancer registry data analysis, visualization, and reporting through standardized data processing workflows, thereby enhancing the quality and efficiency of routine statistical analysis in population-based cancer registries in China.

The Cancer Incidence in Five Continents(CI5)database are jointly maintained by the International Agency for Research on Cancer(IARC)and the International Association of Cancer Registries(IACR),both affiliated to the World Health Organization.This paper provides a histori-cal overview of cancer registration efforts in China,systematically summarizes the journey and en-deavors of Chinese cancer registries as they were incorporated into IARC and CI5.Furthermore,it offers a perspective on the strategies for advancing the high-quality development of cancer registra-tion activities within the nation.

Objective:The National Central Cancer Registry estimates the number of new cancer cases and deaths in China in 2022, using incidence and mortality data collected by the National Cancer Center.Methods:According to the data of 700 cancer registries in 2018 and the data of 106 cancer registries from 2010 to 2018, the age-period-cohort model was used to estimate the incidence rate and mortality rate of all cancers and 23 types of cancer in 2022, stratified by gender and urban and rural areas. We estimated the number of new cancer cases and deaths in China in 2022 based on the estimated rate and population data in 2022.Results:The estimated results showed that in 2022, there were approximately 4 824 700 new cancer cases in China (2 533 900 in males and 2 290 800 in females), with an age-standardized incidence rate of Chinese population (ASIR) of 208.58 per 100 000 (212.67 per 100 000 for males and 208.08 per 100 000 for females). Approximately 2 903 900 new cancer cases occurred in urban areas, with an ASIR of 212.95 per 100 000. It was estimated about 1 920 800 new cancer cases in rural areas, and the ASIR was 199.65 per 100 000. The top five cancers (lung cancer 1 060 600, colorectal cancer 517 100, thyroid cancer 466 100, liver cancer 367 700 and female breast cancer 357 200) accounted for 57.4% of all new cases. The estimated number of deaths from cancer in China in 2022 was 2 574 200 (1 629 300 in males and 944 900 in females), with an age-standardized mortality rate of Chinese population (ASMR) of 97.08 per 100 000 (127.70 per 100 000 in males and 68.67 per 100 000 in females). The number of deaths from cancer in urban and rural areas was about 1 400 600 and 1 173 400, with the ASMR of 92.37 and 103.97 per 100 000 in urban and rural areas, respectively. The top five leading cause of cancers death (lung cancer 733 300, liver cancer 316 500, gastric cancer 260 400, colorectal cancer 240 000 and esophageal cancer 187 500) accounted for 67.5% of all cancer deaths. Lung cancer ranked first in the incidence and mortality in men and women. The incidence rate in urban areas was higher than that in rural areas, while the mortality rate was lower than that in rural areas.Conclusions:The burden of cancer in China is still relatively heavy, with significant differences in cancer patterns in gender, urban-rural, and regional. The burden of cancer presents a coexistence of developed and developing countries, and the situation of cancer prevention and control is still serious in China.

Objective:To analyze epidemiology of gastric cancer five-year survival distribution in Zhejiang population-based cancer registration.Methods:The follow-up data of registrated gastric cancer cases diagnosed from 2008 to 2019 in 22 national cancer registry areas of Zhejiang Province were collected and divided into three diagnostic periods: 2008-2011, 2012-2015 and 2016-2019 to calculate five-year observed survival rates (OSRs), five-year relative survival rates (RSRs) and five-year age-standardized relative survival rates (ARSRs). The distribution of population characteristics (including gender, urban/rural, age group and occupation) and clinical characteristics (including the highest diagnostic institution, sub-site, pathological type and degree of differentiation) of gastric cancer survival rates in each period were analysed.Results:51 663 new cases of gastric cancer in 2008-2019 in the cancer registration area of Zhejiang Province were included in the analysis, and the ARSR of gastric cancer in 2008-2011, 2012-2015 and 2016-2019 showed an increasing trend (39.2%, 41.3% and 44.7%, respectively). In 2016-2019, the ARSR was similar across gender and urban and rural areas (44.4% for men and 45.7% for women; 44.9% in urban areas and 44.2% in rural areas); Among people with different occupations, the ARSR was highest among business and service workers (55.3%), the agriculture, forestry, animal husbandry and fisheries, water conservancy production workers and domestic workers were lower (41.5% and 43.2%, respectively). The highest diagnostic institution was the provincial hospital with a higher gastric cancer survival rate (47.0%) than the municipal (43.4%) and district (43.6%) levels. The ARSR for gastric cancer was relatively high in the lesser curvature (59.7%), pylorus (50.4%), antrum (49.3%), and greater curvature (48.7%), and lowest in cardia (38.9%). Among the major pathological types, adenocarcinoma (NOS) had an ARSR of 48.1%, mucinous adenocarcinoma 41.3%, imprinted cell carcinoma 39.4%, and squamous carcinoma 33.4%. The ARSR for highly differentiated, moderately differentiated, poorly differentiated and undifferentiated gastric cancers were 80.6%, 57.9%, 43.2% and 36.8%, respectively.Conclusion:The 5-year survival rate of gastric cancer in Zhejiang Province is high and on the rise, with similar survival rates in different genders, urban and rural areas, and significant differences in the survival rates of gastric cancer patients with different occupational groups, highest diagnostic institutions, tumour sub-sites, pathological types and differentiation degrees.

Objective:The National Central Cancer Registry estimates the number of new cancer cases and deaths in China in 2022, using incidence and mortality data collected by the National Cancer Center.Methods:According to the data of 700 cancer registries in 2018 and the data of 106 cancer registries from 2010 to 2018, the age-period-cohort model was used to estimate the incidence rate and mortality rate of all cancers and 23 types of cancer in 2022, stratified by gender and urban and rural areas. We estimated the number of new cancer cases and deaths in China in 2022 based on the estimated rate and population data in 2022.Results:The estimated results showed that in 2022, there were approximately 4 824 700 new cancer cases in China (2 533 900 in males and 2 290 800 in females), with an age-standardized incidence rate of Chinese population (ASIR) of 208.58 per 100 000 (212.67 per 100 000 for males and 208.08 per 100 000 for females). Approximately 2 903 900 new cancer cases occurred in urban areas, with an ASIR of 212.95 per 100 000. It was estimated about 1 920 800 new cancer cases in rural areas, and the ASIR was 199.65 per 100 000. The top five cancers (lung cancer 1 060 600, colorectal cancer 517 100, thyroid cancer 466 100, liver cancer 367 700 and female breast cancer 357 200) accounted for 57.4% of all new cases. The estimated number of deaths from cancer in China in 2022 was 2 574 200 (1 629 300 in males and 944 900 in females), with an age-standardized mortality rate of Chinese population (ASMR) of 97.08 per 100 000 (127.70 per 100 000 in males and 68.67 per 100 000 in females). The number of deaths from cancer in urban and rural areas was about 1 400 600 and 1 173 400, with the ASMR of 92.37 and 103.97 per 100 000 in urban and rural areas, respectively. The top five leading cause of cancers death (lung cancer 733 300, liver cancer 316 500, gastric cancer 260 400, colorectal cancer 240 000 and esophageal cancer 187 500) accounted for 67.5% of all cancer deaths. Lung cancer ranked first in the incidence and mortality in men and women. The incidence rate in urban areas was higher than that in rural areas, while the mortality rate was lower than that in rural areas.Conclusions:The burden of cancer in China is still relatively heavy, with significant differences in cancer patterns in gender, urban-rural, and regional. The burden of cancer presents a coexistence of developed and developing countries, and the situation of cancer prevention and control is still serious in China.

Objective:To analyze epidemiology of gastric cancer five-year survival distribution in Zhejiang population-based cancer registration.Methods:The follow-up data of registrated gastric cancer cases diagnosed from 2008 to 2019 in 22 national cancer registry areas of Zhejiang Province were collected and divided into three diagnostic periods: 2008-2011, 2012-2015 and 2016-2019 to calculate five-year observed survival rates (OSRs), five-year relative survival rates (RSRs) and five-year age-standardized relative survival rates (ARSRs). The distribution of population characteristics (including gender, urban/rural, age group and occupation) and clinical characteristics (including the highest diagnostic institution, sub-site, pathological type and degree of differentiation) of gastric cancer survival rates in each period were analysed.Results:51 663 new cases of gastric cancer in 2008-2019 in the cancer registration area of Zhejiang Province were included in the analysis, and the ARSR of gastric cancer in 2008-2011, 2012-2015 and 2016-2019 showed an increasing trend (39.2%, 41.3% and 44.7%, respectively). In 2016-2019, the ARSR was similar across gender and urban and rural areas (44.4% for men and 45.7% for women; 44.9% in urban areas and 44.2% in rural areas); Among people with different occupations, the ARSR was highest among business and service workers (55.3%), the agriculture, forestry, animal husbandry and fisheries, water conservancy production workers and domestic workers were lower (41.5% and 43.2%, respectively). The highest diagnostic institution was the provincial hospital with a higher gastric cancer survival rate (47.0%) than the municipal (43.4%) and district (43.6%) levels. The ARSR for gastric cancer was relatively high in the lesser curvature (59.7%), pylorus (50.4%), antrum (49.3%), and greater curvature (48.7%), and lowest in cardia (38.9%). Among the major pathological types, adenocarcinoma (NOS) had an ARSR of 48.1%, mucinous adenocarcinoma 41.3%, imprinted cell carcinoma 39.4%, and squamous carcinoma 33.4%. The ARSR for highly differentiated, moderately differentiated, poorly differentiated and undifferentiated gastric cancers were 80.6%, 57.9%, 43.2% and 36.8%, respectively.Conclusion:The 5-year survival rate of gastric cancer in Zhejiang Province is high and on the rise, with similar survival rates in different genders, urban and rural areas, and significant differences in the survival rates of gastric cancer patients with different occupational groups, highest diagnostic institutions, tumour sub-sites, pathological types and differentiation degrees.

BACKGROUND: Lifetime cancer risk is an index that indicates the cumulative probability of cancer at some age during a person's lifetime. Nevertheless, comparative evaluations regarding the probability of developing lung cancer and dying from the disease among diverse populations at the global, regional, and national levels are scarce. METHODS: Lung cancer data from 185 countries were obtained from GLOBOCAN 2022, and data on any other cause of death were acquired from the United Nations. The lifetime risks of lung cancer development and death were estimated using adjustment for multiple primary cancers (AMP) method. The lung cancer risks in countries or regions worldwide were compared by region and the Human Development Index (HDI). RESULTS: The global lifetime risk of developing and dying from lung cancer in 2022 was 3.49% and 2.69%, respectively. The lifetime probabilities of developing lung cancer in countries/areas with low, medium, high, and very high HDIs were 0.33%, 0.95%, 4.72%, and 5.29%, and dying from lung cancer in low, medium, high and very high HDI countries were 0.30%, 0.86%, 3.69% and 3.92%, respectively. After the age of 40 years, the remaining probability of lung cancer development and death decreased with age, leaving a residual risk of 2.00% and 1.71%, respectively, starting at 70 years. CONCLUSIONS The probability of developing lung cancer during one's lifetime is equivalent to 1 in 28 and 1 in 37 people suffering and dying from lung cancer. The age-related risk of developing and dying of lung cancer varies among geographic locations with different HDIs.
Humans ; Lung Neoplasms/epidemiology* ; Female ; Male ; Middle Aged ; Aged ; Adult ; Risk Factors