1.Evaluation of Cancer Burden Based on Big Data: Applications and Challenges in Cancer Prevention and Treatment
Medical Journal of Peking Union Medical College Hospital 2025;16(2):506-512
Cancer has become one of the most significant diseases threatening human life and health. In 2022, there were 19.97 million new cancer cases and 9.74 million cancer-related deaths worldwide, imposing a heavy burden on society. A systematic and comprehensive understanding of the cancer burden is the cornerstone for formulating effective prevention and control strategies. Open-source databases, represented by the GLOBOCAN database and the Global Burden of Disease (GBD) database, provide critical support for obtaining the latest cancer burden data, identifying key areas for prevention and control, guiding screening and early diagnosis and treatment, and evaluating the effectiveness of intervention measures. However, the field of cancer big data also faces challenges, such as insufficient data standardization and inadequate privacy protection mechanisms. In the future, while ensuring patient privacy and security, efforts should be made to further improve data quality, promote data sharing, enhance the equity of cancer prevention and treatment resources, and strengthen international collaboration. These measures will reasonably advance the precision and scientific development of cancer prevention and control strategies, with the aim of reducing the cancer burden and contributing to global health and well-being.
2.Analysis of Disease Burden and Attributable Risk Factors of Early-onset Female Breast Cancer in China and Globally from 1990 to 2021
Danqi HUANG ; Min YANG ; Wei XIONG ; Jingyi LIU ; Wanqing CHEN ; Jingbo ZHAI ; Jiang LI
Medical Journal of Peking Union Medical College Hospital 2025;16(3):777-784
To analyze the disease burden, temporal trends, and attributable risk factors of early-onset female breast cancer (EOBC) in China and globally from 1990 to 2021. Data on the absolute numbers and crude rates of incidence, mortality, and disability-adjusted life years (DALYs) for EOBC (diagnosis age < 50 years) in China and globally were extracted from the Global Burden of Disease (GBD) 2021 database. Attributable DALY proportions for five risk factors (smoking, alcohol use, physical inactivity, high red meat consumption, elevated fasting plasma glucose) and all combined risk factors were obtained. Joinpoint regression analysis was performed to assess temporal trends in age-standardized rates, quantified by annual percentage change (APC) and average annual percentage change (AAPC). From 1990 to 2021, age-standardized incidence rates of EOBC increased significantly in both China (AAPC=2.25%) and globally (AAPC=0.64%; pairwise comparison, China's age-standardized EOBC incidence is rising rapidly and approaching global levels, while mortality and DALY rates have increased over the past decade, underscoring persistent challenges in disease control. Future efforts should prioritize expanding the coverage of breast cancer screening programs, optimizing screening protocols, and enhancing public awareness of cancer prevention to mitigate the growing burden of EOBC in China.
3.Disability-adjusted life years for colorectal cancer in China, 2017-2030: A prevalence-based analysis focusing on the impact of screening coverage and the application of local weights.
Yujie WU ; Yanjie LI ; Xin WANG ; Xinyi ZHOU ; Xinxin YAN ; Hong WANG ; Juan ZHU ; Wanqing CHEN ; Jufang SHI
Chinese Medical Journal 2025;138(8):962-972
BACKGROUND:
Most studies have evaluated disability-adjusted life years (DALYs) of colorectal cancer (CRC) patients based on a set of generic disability weights (DWs). This study aimed to apply local CRC-stage-specific DWs to estimate the burden of DALYs for CRC (CRC-DALYs) in populations in China and consider the influence of local screening coverage of CRC.
METHODS:
A prevalence-based model was constructed using data from various sources. Years lived with disability (YLDs) were estimated mainly via cumulative prevalence data (based on CRC incidence rates, population numbers, and survival rates), stage-specific proportions of CRC, and DWs of the local population. Years of life lost (YLLs) were calculated based on the CRC mortality rates and standard life expectancies. CRC incidence and mortality rates for the years 2020, 2025, and 2030 were estimated by joinpoint regression, and the corresponding DALYs were predicted. The main assumption was made for CRC screening coverage. Sensitivity analyses were used to assess the impact of population, DWs, and coverage.
RESULTS:
In 2017, among the Chinese population, the estimated number of CRC-DALYs was 4,303,314 (11.9% for YLDs). If CRC screening coverage rate in China (2.3%) remains unchanged, the overall DALYs in 2030 are predicted to increase by 37.2% (45.1% of those aged ≥65 years). More optimistically, the DALYs would then decrease by 0.7% in 2030 (from 5,902,454 to 5,860,200) if the coverage could be increased to 25.0%. A sensitivity analysis revealed that using local DWs would change the base-case values by 5.7%.
CONCLUSIONS
The estimated CRC-DALYs in China using population-specific DWs were considerably lower (with a higher percentage of YLDs) than the global burden of disease (GBD) estimates (5,865,004, of 4.6% for YLDs), suggesting the impact extent of applying local parameters. Sustainable scale-up CRC screening needs to be in place to moderate the growth trend of CRC-DALYs in China.
Humans
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Colorectal Neoplasms/diagnosis*
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China/epidemiology*
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Disability-Adjusted Life Years
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Male
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Prevalence
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Female
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Middle Aged
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Aged
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Early Detection of Cancer
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Quality-Adjusted Life Years
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Adult
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Incidence
4.Corrigendum: Comparative analysis of cancer statistics in China and the United States in 2024.
Yujie WU ; Siyi HE ; Mengdi CAO ; Yi TENG ; Qianru LI ; Nuopei TAN ; Jiachen WANG ; Tingting ZUO ; Tianyi LI ; Yuanjie ZHENG ; Changfa XIA ; Wanqing CHEN
Chinese Medical Journal 2025;138(10):1260-1260
5.Prognostic study of neoadjuvant therapy for pancreatic cancer based on propensity score matching and subgroup analysis
Xiaohao ZHENG ; Jingyu ZHANG ; Xiaojie CHEN ; Zhen HAO ; Jing LIU ; Zewen ZHANG ; Wanqing YU ; Yun YANG
International Journal of Surgery 2025;52(4):230-238
Objective:To investigate whether neoadjuvant therapy can improve the prognosis of patients with pancreatic cancer.Methods:A retrospective case-control study analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database on 12, 103 patients who underwent surgical treatment between January 1, 2010, and December 31, 2021. Patients were divided into the neoadjuvant therapy group ( n=3 276) and the upfront surgery group ( n=8 827) based on whether they received neoadjuvant treatment. The neoadjuvant therapy group included 2 342 patients receiving neoadjuvant chemotherapy and 934 patients receiving neoadjuvant chemoradiotherapy. The upfront surgery group consisted of 4 335 patients receiving adjuvant chemotherapy, 1 987 patients receiving adjuvant chemoradiotherapy, 63 patients receiving adjuvant radiotherapy, and 2 442 patients undergoing surgery alone. Propensity score matching was used to eliminate group differences and create a cohort with no statistical differences in other clinicopathological features except for the grouping variable. Variables such as age, gender, tumor location, race, population of residence, tumor diameter, household income, TNM stage, and information on radiotherapy and chemotherapy were used for 1∶1 case matching. T stage, N stage, and the use of radiotherapy or chemotherapy were matched exactly. After matching, 1 182 patients were included in each group: the neoadjuvant therapy group contained 1 155 patients receiving neoadjuvant chemoradiotherapy and 27 receiving neoadjuvant chemotherapy, while the upfront surgery group comprised 848 patients receiving adjuvant chemotherapy and 334 receiving adjuvant chemoradiotherapy. TNM staging was reported according to the 7th edition of the AJCC guidelines. The primary outcome was overall survival. Measurement data with skewed distributions were expressed as M( Q1, Q3), and intergroup comparisons were conducted using the Wilcoxon rank-sum test. Categorical data were compared using the chi-square test or the Fisher′s exact test. The Log-rank test and subgroup analyses to assess interactions between neoadjuvant therapy and subgroup in COX regression models were used to compare survival benefits across variables. Landmark analysis was performed to create segmented survival curves, studying the impact of neoadjuvant therapy on prognosis during different follow-up periods. Results:The neoadjuvant therapy group had a higher proportion of T 4 tumor involving celiac axis, superior mesenteric artery, and/or common hepatic artery compared to the upfront surgery group (14.7% vs 2.8%, P<0.001). Additionally, significant differences were observed between groups in terms of race, location, population of residence, age, tumor diameter, tumor stage, and adjuvant therapy regimen ( P<0.05). The median overall survival time in the neoadjuvant therapy group was 30 months, compared to 22 months in the upfront surgery group ( P<0.001). In the neoadjuvant therapy group, the median survival was 30 months for both neoadjuvant chemotherapy and chemoradiotherapy patients; in the upfront surgery group, it was 26 months for both adjuvant chemotherapy and chemoradiotherapy patients, 17 months for adjuvant radiotherapy patients, and 12 months for surgery-only patients. After propensity score matching, there were no differences in the distribution of clinical characteristics between groups ( P>0.05), and all patients in the matched cohort had received chemotherapy. The matched neoadjuvant therapy group had a longer median overall survival compared to the upfront surgery group (30 months vs 27 months, P<0.001). Subgroup interaction analysis revealed that T stage had a significant interaction with neoadjuvant therapy, both before (T 4 stage: HR=0.382, 95% CI: 0.319-0.458; T 2-T 3 stages: HR=0.696, 95% CI: 0.656-0.738; T 1 stage: HR=1.199, 95% CI: 0.867-1.657; interaction P<0.001) and after matching (T 4 stage: HR=0.581, 95% CI: 0.414-0.814; T 2-T 3 stages: HR=0.827, 95% CI: 0.734-0.931; T 1 stage: HR=1.320, 95% CI: 0.716-2.433; interaction P=0.043). Subgroup interaction analysis indicated that T 1 patients did not benefit from neoadjuvant therapy; survival curves plotted for matched T 1 patients showed no difference in survival between the neoadjuvant therapy group and the upfront surgery group ( P=0.323). Conversely, non-T 1 (T 2-T 4) stage patients showed significant survival benefits in both unmatched and matched cohorts ( P<0.001). Landmark analysis showing that the survival benefits occurred mainly in the early postoperative period of up to 3 years ( P<0.001), but there was no difference in overall survival between the neoadjuvant therapy group and the upfront surgery group of >3 years ( P>0.05). Patients with Arterial invasion (T 4 stage compared to T 1-T 3 stages) showed a similarly significant interaction with the benefit of neoadjuvant therapy in both the pre-matching cohort (interaction P<0.001) and the post-matching cohort (interaction P=0.037). Patients with T 4 stage disease in the neoadjuvant therapy group had longer overall survival compared to the upfront surgery group (median overall survival in pre-matching cohort: 30 months vs 13 months, P<0.001; median overall survival in post-matching cohort: 28 months vs 18 months, P=0.001). Among T 4 stage patients in the post-matching cohort, neoadjuvant therapy provided significant survival benefits during the early postoperative period of up to 3 years ( P=0.001). However, there was no difference in overall survival between the neoadjuvant therapy group and the direct surgery group beyond 3 years( P=0.729). Conclusions:The prognosis in the neoadjuvant therapy group was better than in the upfront surgery group. Propensity score matching and subgroup interaction analysis showed that non-T 1 and T 4 stage patients benefited more from neoadjuvant therapy, with benefits mainly seen in the early postoperative period (≤3 years).
6.Predictive modeling of efficacy of neoadjuvant chemotherapy for breast cancer using ultrasound and immunohistochemistry
Zhaoyun LI ; Yue PANG ; Cuijing CHEN ; Jingning MAO ; Rui DU ; Wanqing HAN ; Hongli TIAN ; Yuejuan GAO ; Ling BAI
Military Medical Sciences 2025;49(9):687-693
Objective To establish a model that integrates ultrasound features and immunological characteristics for predicting the efficacy of neoadjuvant chemotherapy(NAC)in breast cancer patients.Methods A total of 203 breast cancer patients undergoing preoperative NAC at the Fifth Medical Center of the PLA General Hospital between July 2021 and July 2024 were screened.In line with the inclusion/exclusion criteria,177 patients were included.Data on ultrasound and immunohistochemistry was collected.These patients were divided into pathological complete response(pCR)and non-pathological complete response(non-pCR)groups based on postoperative pathology.Factors with P<0.0 1 in univariate analysis were evaluated using multivariate Logistic regression.Independent predictive factors were used to construct and validate the ultrasound-immunohistochemical model via Bootstrap.Results The reduction rateof the maximum diameter of lesions,posterior echo attenuation,PR status and HER-2 status were identified as independent predictors of pCR(all P<0.05).The model proved to be highly accurate and stable.Conclusion The model that combines ultrasound and immunohistochemical features can effectively evaluatep CR after NAC in breast cancer patients.
7.Socioeconomic inequalities in cancer incidence and mortality: An analysis of GLOBOCAN 2022
Wei CAO ; Kang QIN ; Feng LI ; Wanqing CHEN
Chinese Medical Journal 2024;137(12):1407-1413
Background::Given the recent updates in cancer burden estimates by GLOBOCAN 2022, this study was undertaken to provide pertinent perspectives within the context of the Human Development Index (HDI) and major world economies.Methods::Datasets sourced from GLOBOCAN encompassed cancer cases and deaths across all cancer types in 2022, alongside projections up to 2050. Cancer incidences and deaths of the top 10 cancers within China and four distinct HDI-classified regions were compared using descriptive analyses. Age-standardized incidence rates (ASIRs) and mortality rates (ASMRs) worldwide for the most prevalent cancers in 2022 across ten largest economies and four-tier HDIs were examined. The top five cancer types concerning both incidence and mortality in China were delineated by sex and age group.Results::In males, prostate cancer predominated in countries with low, high (except China), and very high HDI. Prostate and liver cancers were prominent causes of death in countries with low HDI. In females, breast and cervical cancers predominated in countries with low-to-medium HDI. Lung and colorectal cancer incidence and deaths increased with high HDI for both sexes. ASIRs and ASMRs for breast, prostate, lung, and colorectal cancers in the top 10 economies were higher than the global average. However, liver, stomach, and cervical cancers in most Western countries exhibited lower rates. In China, hematologic malignancies (43%) were prevalent among children aged 0–14 years, whereas thyroid cancer led among adolescents and young adults aged 15–39 years. Regarding incidence and mortality, lung cancer predominated for individuals over 40 years, except for females aged 40–59 years, in whom breast cancer predominated. Projected trends indicated substantial increases in new cancer cases (76.6%) and deaths (89.7%) over the next three decades.Conclusions::Infection- and poverty-related cancer burdens are offset by increased prostate, breast, colorectal, and lung cancer incidence associated with rapid societal and economic transitions. Cancer incidence and mortality patterns in China feature characteristics of developed and developing countries, necessitating tailored, evidence-based, and comprehensive strategies for effective cancer prevention and control.
8.Survey of hepatitis B virus infection for liver cancer screening in China: A population-based, cross-sectional study
Yongjie XU ; Changfa XIA ; He LI ; Maomao CAO ; Fan YANG ; Qianru LI ; Mengdi CAO ; Wanqing CHEN
Chinese Medical Journal 2024;137(12):1414-1420
Background::Hepatitis B virus (HBV) infection is the primary cause of hepatocellular carcinoma (HCC) in China. The target population for HCC screening comprises individuals who test positive for hepatitis B surface antigen (HBsAg). However, current data on the prevalence of HBV infection among individuals who are eligible for HCC screening in China are lacking. We aimed to assess the seroepidemiology of HBV infection among Chinese individuals eligible for HCC screening to provide the latest evidence for appropriate HCC screening strategies in China.Methods::Questionnaires including information of sex, age, ethnicity, marital status, educational level, source of drinking water, as well as smoking and alcohol consumption history and serum samples were collected from females aged 45–64 years and males aged 35–64 years in 21 counties from 4 provinces in eastern and central China between 2015 and 2023. Enzyme-linked immunosorbent assay methods were used to detect the serum HBV marker HBsAg.Results::A total of 603,082 individuals were enrolled, and serum samples were collected for analysis from January 1, 2015 to December 31, 2023. The prevalence of HBsAg positive in the study population was 5.23% (31,528/603,082). The prevalence of HBsAg positive was greater in males than in females (5.60% [17,660/315,183] vs 4.82% [13,868/287,899], χ 2 = 187.52, P <0.0001). The elderly participants exhibited a greater prevalence of HBV infection than younger participants (χ 2 = 41.73, P <0.0001). Birth cohort analysis revealed an overall downward trend in HBV prevalence for both males and females. Individuals born in more recent cohorts exhibited a lower prevalence of HBV infection as compared to those born earlier. Conclusions::The current prevalence of HBV infection remains above 5% in populations eligible for HCC screening in China.
9.Burden of female breast and five gynecological cancers in China and worldwide
Nuopei TAN ; You WU ; Bin LI ; Wanqing CHEN
Chinese Medical Journal 2024;137(18):2190-2201
Background::Female breast and five gynecological cancers remain substantial burden in China and worldwide. GLOBOCAN 2022 has recently updated the estimates of cancer burden. This study aims to depict the profiles of disease burden and to compare the age-specific rates of female breast and five gynecological cancers in China with those in other countries.Methods::The latest estimates of incidence and mortality of female breast and five gynecological cancers from various regions and countries were extracted from the GLOBOCAN 2022 database. We compared the proportion of total cases or deaths for cancers affecting female breast and five gynecological cancers and other tumor types in China and globally. Correlation analysis was conducted to evaluate the relationship between age-standardized incidence rate (ASIR) or age-standardized mortality rate (ASMR) and the Human Development Index (HDI). Additionally, age-specific rate curves were plotted for ten exemplary countries with different income levels.Results::Female breast and five gynecological cancers in China accounted for 30.2% of all newly diagnosed cancer cases. Breast cancer and cervical cancer are the most commonly diagnosed, with nearly 507,000 new cases, representing 23.48% of the new cases. The incidence rates of breast, uterine corpus, ovarian, and vulvar cancers were positively associated with HDI tiers. Chinese women aged 50-54 years are experiencing high incidence rates of breast, cervix uteri, corpus uteri, and ovarian cancers.Conclusions::Female breast and five gynecological cancers continue to be a significant health concern for women in China and worldwide. It is crucial to implement comprehensive prevention strategies tailored to address the increasing trend among younger individuals and reduce regional disparities.
10.Global epidemiology of liver cancer 2022: An emphasis on geographic disparities
Qianru LI ; Chao DING ; Maomao CAO ; Fan YANG ; Xinxin YAN ; Siyi HE ; Mengdi CAO ; Shaoli ZHANG ; Yi TENG ; Nuopei TAN ; Jiachen WANG ; Changfa XIA ; Wanqing CHEN
Chinese Medical Journal 2024;137(19):2334-2342
Background::Liver cancer remains the sixth most commonly diagnosed cancer and the third leading cause of cancer-related deaths worldwide, causing a heavy burden globally. An updated assessment of the global epidemiology of the liver cancer burden that addresses geographical disparities is necessary to better understand and promote healthcare delivery.Methods::Data were extracted from the GLOBOCAN 2022 database, including the number, crude, and age-standardized rates of incidence and mortality at the global, country, continent, and human development index (HDI) regional levels. Age-standardized rates (incidence and mortality) per 100,000 person-years were adjusted based on the Segi-Doll World standard population. The mortality-to-incidence ratios (MIR) for each region and country were calculated. The HDI and gross national income (GNI) for 2022 were obtained, and a Pearson correlation analysis was conducted with the incidence, mortality, and MIR.Results::In 2022, approximately 866,136 new liver cancer cases and 758,725 related deaths were recorded worldwide, with a global MIR of 0.86. Males had a disproportionately higher burden than females across all levels, and the highest burden was observed in the elderly population. Geographically, the regions with the highest incidence rates included Micronesia, Eastern Asia, and Northern Africa, and the regions with the highest mortality rates included Northern Africa, Southeastern Asia, Eastern Asia, and Micronesia. Notably, Mongolia had a strikingly high burden compared to other countries. The highest MIR was observed in North America and the lowest in Africa. Negative associations of HDI and GNI with liver cancer mortality and MIR were identified, irrespective of sex.Conclusions::The current liver cancer burden underscores the presence of remarkable geographic heterogeneity, which is particularly evident across countries with varying HDI levels, highlighting the urgent need to prioritize health accessibility and availability to achieve health inequities.

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