Objective:To evaluate the clinical performance of high-risk human papillomavirus (HR-HPV) genotyping in cervical cancer screening.Methods:Between June and July 2017, a prospective cervical cancer screening cohort was established in Xiaye Town, Jiyuan City, Henan Province, China by recruiting 3 254 women aged 21 to 64 years. At baseline screening, cervical exfoliated cell specimens were collected for HR-HPV genotyping and liquid-based cytology testing. Follow-ups were conducted over a 3-year period, with cytology testing in the first and second years and both HR-HPV genotyping and cytology testing in the third year. Women meeting the referral criteria were referred for colposcopy, with cervical biopsy and histopathological diagnosis performed as necessary. The endpoint was defined as cervical intraepithelial neoplasia grade 2 (CIN2) or higher confirmed by histopathological diagnosis. The sensitivity and specificity for detecting CIN2 or higher lesions of HR-HPV genotyping were calculated, as well as the cumulative risk of developing CIN2 or higher lesions over the 4-year study period in women with different baseline HR-HPV genotyping results.Results:A total of 2 741 women were included in the statistical analysis. Baseline HR-HPV genotyping detected 453 HR-HPV positive cases (16.53%), including 98 HPV 16/18 positive cases (3.58%) and 355 other HR-HPV positive cases (12.95%). During the 4-year period, 83 cases of CIN2 or higher were diagnosed. The sensitivity and specificity of baseline HR-HPV positivity for CIN2 or higher were 89.16% (95% CI: 80.66%-94.19%) and 85.74% (95% CI: 84.36%-87.02%), respectively. The corresponding rates for HPV 16/18 positivity were 43.37% (95% CI: 33.24%-54.09%) and 97.67% (95% CI: 97.02%-98.18%). The 4-year cumulative absolute risk of CIN2 or higher was highest in the HPV 16/18 positive group (36.73%, 95% CI: 27.85%-46.62%), followed by other HR-HPV positive groups (10.70%, 95% CI: 7.87%-14.38%), and the HR-HPV negative group was the lowest (0.39%, 95% CI: 0.19%-0.76%). Conclusions:HR-HPV genotyping testing exhibits high sensitivity and specificity for detecting CIN2 or higher lesions in cervical cancer screening. It also provides a scientific basis for stratifying the individual risk of developing CIN2 or higher lesions to guide subsequent management. Therefore, the HR-HPV genotyping testing can be considered as an effective method for cervical cancer screening.

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.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

[Purpose]To analyze the incidence and mortality rates of female breast cancer in Henan Province in 2020 and the trends from 2010 to 2020.[Methods]Breast cancer incidence and mor-tality data stratified by urban and rural areas and age groups were collected from Henan Provincial tumor registry,and the province's household population statistics were used.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rate(0～74 year old)were calculated.The annual percentage change(APC),average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated using Joinpoint software to analyze the trends of the incidence and mortality from 2010 to 2020.[Results]In 2020,24 744 new cases and 4 989 deaths of female breast cancer were documented in Henan Province,with a crude incidence rate of 46.96/105,ASIRC of 38.43/105 and ASIRW of 35.71/105;a crude mortality rate of 9.47/105,ASMRC of 6.80/105 and ASMRW of 6.72/105,respectively.The above indicators in urban areas were signifi-cantly higher than those in rural areas.The highest incidence was observed in the age group of 50～54 years old,while the highest mortality reached in the age group of 85 years old and above.From 2010 to 2020,the overall incidence of female breast cancer showed a slow upward trend(AAPC=2.09％,95％CI:0.62％～3.58％,P=0.010),while the mortality rate exhibited a signif-icant downward trend(AAPC=-3.49％,95％CI:-5.62％～-1.30％,P=0.005).[Conclusion]The incidence and mortality rates of female breast cancer in Henan Province are still at a high level,and corresponding preventive measures and control strategies are needed to effectively reduce the health hazards of breast cancer to women.

[Purpose]To analyze the cancer incidence and mortality in 2020 and trends from 2010 to 2020 in Henan Province.[Methods]Data from cancer registries in Henan Province from 2010 to 2020 were collected and evaluated.Incidence and mortality rates were calculated by urban/rural areas,sex and age,and the incidence and mortality of cancers in the whole province in 2020 were estimated based on population data released by Henan Provincial Bureau of Statistics.Age-standardized rates were calculated according to the age-standardized rate of Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW).Joinpoint 5.4.0 soft-ware was used to construct a regression model to analyze the changing trends of malignant tumors from 2010 to 2020,and the average annual percentage change(AAPC)and 95％confidence in-terval were calculated.[Results]In 2020,the estimated number of new cancer cases in Henan Province was 299 148,with a crude incidence rate of 259.38/105,ASIRC of 201.09/105(204.56/105 for males and 200.45/105 for females)and ASIRW of 196.46/105(203.43/105 for males and 192.22/105 for females).The ASIRC was higher in urban areas(208.10/105)than that in rural areas(197.74/105).The top five cancer types in male were lung,stomach,liver,esophagus,and colorectal cancers,while the top five in female were breast,lung,thyroid,cervical,and esophageal cancers.The estimated number of cancer deaths was 172 070,with a crude mortality rate of 149.20/105 and ASMRC of 106.52/105(137.22/105 for males and 78.04/105 for females)and ASMRW of 106.24/105(137.05/105 for males and 77.91/105 for females).The ASMRC was higher in rural areas(109.92/105)than that in urban areas(99.49/105).The top five causes of cancer death in male were lung,stomach,liver,esophagus,and colorectal cancers,and those in female were lung,esophagus,stomach,liver,and breast cancers.From 2010 to 2020,the trends of ASIRC remained stable(AAPC=0.14％,P=0.572),while the ASMRC showed a significant decreasing trend(AAPC=-1.46％,P=0.011).[Conclusion]Lung cancer,breast cancer and digestive system cancers are the main malignant tumors threatening the health of residents in Henan Province.The incidence and mor-tality of common malignant tumors show significant gender and urban-rural differences.It is neces-sary to further optimize the prevention and control of malignant tumors,formulate targeted inter-vention strategies based on population characteristics,and improve the health awareness of the whole population.

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.

[Purpose]To analyze the lifetime risk of developing and dying from lung cancer at global and regional levels.[Methods]Data of lung cancer incidence and mortality were obtained from GLOBOCAN 2022 and the population and all-cause mortality data were obtained from the United Nations.The lifetime risk of developing and dying from lung cancer globally and across different regions was estimated by multiple primary adjustment method.[Results]The global lifetime risk of developing lung cancer was 3.59％[95％confidence interval(CI):3.58％～3.59％],ranking third among all cancer types.There were significant gender and regional differences in lifetime risk values.The risk for male was 4.43％(95％CI:4.42％～4.44％),which was higher than that for female(2.71％,95％CI:2.70％～2.72％),with a male-to-female ratio of 1.63.Among regions with varying human development index(HDI)levels,the risk increased with HDI levels,in very high HDI re-gions risk was 5.36％(95％CI:5.34％～5.37％),while in low HDI regions the risk was 0.34％(95％CI:0.33％～0.34％).Among the 20 global regions,East Asia had the highest lifetime risk of 7.53％(95％CI:7.52％～7.55％),while West Africa had the lowest risk of 0.16％(95％CI:0.16％～0.17％).The global lifetime risk of dying from lung cancer was 2.78％(95％CI:2.78％～2.78％),ranking the first among all cancer types.There were significant sex and regional differ-ences in lifetime death risk values.The risk for male was 3.64％(95％CI:3.63％～3.64％),which was higher than that for female(1.89％,95％CI:1.89％～1.90％),with a male-to-female ratio of 1.93.Among regions with varying HDI levels,the risk increased with HDI levels,in very high HDI re-gions the risk was 3.98％(95％CI:3.97％～3.99％),while in low HDI regions the risk was 0.31％(95％CI:0.31％～0.31％).Among the 20 global regions,the Federated States of Micronesia/Poly-nesia had the highest death risk of 5.80％(95％CI:4.98％～6.62％),while West Africa had the lowest risk of 0.15％(95％CI:0.15％～0.16％).The lifetime risk of developing and dying from lung cancer in China was 7.54％(95％CI:7.52％～7.56％)and 5.88％(95％CI:5.87％～5.90％),respec-tively,both ranking the first among all cancer types.[Conclusion]The lifetime risk of developing and dying from lung cancer remains high globally and across different regions,with a particularly heavy burden in high-HDI areas.In China,both the lifetime risk of developing and dying from lung cancer are higher than the global average.This highlights the need for continued enhance-ment of comprehensive prevention and control measures,including addressing lung cancer-related risk factors,as well as improving screening,early diagnosis,and treatment efforts to reduce the lung cancer burden.

[Purpose]To analyze the incidence and mortality rates of female breast cancer in Henan Province in 2020 and the trends from 2010 to 2020.[Methods]Breast cancer incidence and mor-tality data stratified by urban and rural areas and age groups were collected from Henan Provincial tumor registry,and the province's household population statistics were used.The crude incidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),cumulative rate(0～74 year old)were calculated.The annual percentage change(APC),average annual percentage change(AAPC)and 95％confidence interval(CI)were calculated using Joinpoint software to analyze the trends of the incidence and mortality from 2010 to 2020.[Results]In 2020,24 744 new cases and 4 989 deaths of female breast cancer were documented in Henan Province,with a crude incidence rate of 46.96/105,ASIRC of 38.43/105 and ASIRW of 35.71/105;a crude mortality rate of 9.47/105,ASMRC of 6.80/105 and ASMRW of 6.72/105,respectively.The above indicators in urban areas were signifi-cantly higher than those in rural areas.The highest incidence was observed in the age group of 50～54 years old,while the highest mortality reached in the age group of 85 years old and above.From 2010 to 2020,the overall incidence of female breast cancer showed a slow upward trend(AAPC=2.09％,95％CI:0.62％～3.58％,P=0.010),while the mortality rate exhibited a signif-icant downward trend(AAPC=-3.49％,95％CI:-5.62％～-1.30％,P=0.005).[Conclusion]The incidence and mortality rates of female breast cancer in Henan Province are still at a high level,and corresponding preventive measures and control strategies are needed to effectively reduce the health hazards of breast cancer to women.

[Purpose]To analyze the cancer incidence and mortality in 2020 and trends from 2010 to 2020 in Henan Province.[Methods]Data from cancer registries in Henan Province from 2010 to 2020 were collected and evaluated.Incidence and mortality rates were calculated by urban/rural areas,sex and age,and the incidence and mortality of cancers in the whole province in 2020 were estimated based on population data released by Henan Provincial Bureau of Statistics.Age-standardized rates were calculated according to the age-standardized rate of Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW).Joinpoint 5.4.0 soft-ware was used to construct a regression model to analyze the changing trends of malignant tumors from 2010 to 2020,and the average annual percentage change(AAPC)and 95％confidence in-terval were calculated.[Results]In 2020,the estimated number of new cancer cases in Henan Province was 299 148,with a crude incidence rate of 259.38/105,ASIRC of 201.09/105(204.56/105 for males and 200.45/105 for females)and ASIRW of 196.46/105(203.43/105 for males and 192.22/105 for females).The ASIRC was higher in urban areas(208.10/105)than that in rural areas(197.74/105).The top five cancer types in male were lung,stomach,liver,esophagus,and colorectal cancers,while the top five in female were breast,lung,thyroid,cervical,and esophageal cancers.The estimated number of cancer deaths was 172 070,with a crude mortality rate of 149.20/105 and ASMRC of 106.52/105(137.22/105 for males and 78.04/105 for females)and ASMRW of 106.24/105(137.05/105 for males and 77.91/105 for females).The ASMRC was higher in rural areas(109.92/105)than that in urban areas(99.49/105).The top five causes of cancer death in male were lung,stomach,liver,esophagus,and colorectal cancers,and those in female were lung,esophagus,stomach,liver,and breast cancers.From 2010 to 2020,the trends of ASIRC remained stable(AAPC=0.14％,P=0.572),while the ASMRC showed a significant decreasing trend(AAPC=-1.46％,P=0.011).[Conclusion]Lung cancer,breast cancer and digestive system cancers are the main malignant tumors threatening the health of residents in Henan Province.The incidence and mor-tality of common malignant tumors show significant gender and urban-rural differences.It is neces-sary to further optimize the prevention and control of malignant tumors,formulate targeted inter-vention strategies based on population characteristics,and improve the health awareness of the whole population.

Objective:To evaluate the clinical performance of high-risk human papillomavirus (HR-HPV) genotyping in cervical cancer screening.Methods:Between June and July 2017, a prospective cervical cancer screening cohort was established in Xiaye Town, Jiyuan City, Henan Province, China by recruiting 3 254 women aged 21 to 64 years. At baseline screening, cervical exfoliated cell specimens were collected for HR-HPV genotyping and liquid-based cytology testing. Follow-ups were conducted over a 3-year period, with cytology testing in the first and second years and both HR-HPV genotyping and cytology testing in the third year. Women meeting the referral criteria were referred for colposcopy, with cervical biopsy and histopathological diagnosis performed as necessary. The endpoint was defined as cervical intraepithelial neoplasia grade 2 (CIN2) or higher confirmed by histopathological diagnosis. The sensitivity and specificity for detecting CIN2 or higher lesions of HR-HPV genotyping were calculated, as well as the cumulative risk of developing CIN2 or higher lesions over the 4-year study period in women with different baseline HR-HPV genotyping results.Results:A total of 2 741 women were included in the statistical analysis. Baseline HR-HPV genotyping detected 453 HR-HPV positive cases (16.53%), including 98 HPV 16/18 positive cases (3.58%) and 355 other HR-HPV positive cases (12.95%). During the 4-year period, 83 cases of CIN2 or higher were diagnosed. The sensitivity and specificity of baseline HR-HPV positivity for CIN2 or higher were 89.16% (95% CI: 80.66%-94.19%) and 85.74% (95% CI: 84.36%-87.02%), respectively. The corresponding rates for HPV 16/18 positivity were 43.37% (95% CI: 33.24%-54.09%) and 97.67% (95% CI: 97.02%-98.18%). The 4-year cumulative absolute risk of CIN2 or higher was highest in the HPV 16/18 positive group (36.73%, 95% CI: 27.85%-46.62%), followed by other HR-HPV positive groups (10.70%, 95% CI: 7.87%-14.38%), and the HR-HPV negative group was the lowest (0.39%, 95% CI: 0.19%-0.76%). Conclusions:HR-HPV genotyping testing exhibits high sensitivity and specificity for detecting CIN2 or higher lesions in cervical cancer screening. It also provides a scientific basis for stratifying the individual risk of developing CIN2 or higher lesions to guide subsequent management. Therefore, the HR-HPV genotyping testing can be considered as an effective method for cervical cancer screening.