This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To construct and validate a prognostic prediction model for patients with ovarian metastases from colorectal cancer after radical resection.Methods:A retrospective case series analysis was conducted on the clinical and pathological data of 81 patients with colorectal cancer and ovarian metastases who underwent radical resection for ovarian metastases at the Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, between January 2014 and December 2023. The patients were all female, with an age ( M(IQR)) of 49(13) years (range: 22 to 79 years). The primary tumor was located in the colon in 60 cases (74.1%) and in the rectum in 21 cases (25.9%). Univariate and multivariate Cox regression analyses were used to identify independent risk factors affecting prognosis. A risk scoring system was constructed, and patients were assigned to high-risk and low-risk groups based on their risk scores. The predictive performance of the scoring system was assessed, and 5-fold cross-validation was performed to evaluate the model′s stability on the internal dataset. Results:Among the 81 patients with ovarian metastases, a high proportion had T4 stage (58 cases, 71.6%), lymph node positivity (68 cases, 84.0%), and colon cancer (60 cases, 74.1%). Preoperative imaging suggested unilateral ovarian metastasis in 15 patients (23.4%), but pathological examination after bilateral oophorectomy confirmed bilateral ovarian metastases. Among the 17 patients who initially underwent unilateral oophorectomy, 11 developed contralateral ovarian metastases at varying times postoperatively. Univariate Cox proportional hazards regression analysis revealed that positive lymph node ratio ( HR=2.68,95% CI:1.41 to 5.09, P=0.003), N stage ( HR=2.07,95% CI:1.08 to 3.95, P=0.028),maximum diameter of metastatic tumors ( HR=2.27,95% CI:1.04 to 4.96, P=0.040),and peritoneal metastasis or ascites at the time of ovarian metastasis ( HR=2.04,95% CI:1.02 to 4.08, P=0.043) were significantly associated with overall survival in patients with ovarian metastasis from colorectal cancer. Multivariate regression analysis identified that positive lymph node ratio ( HR=3.34,95% CI:1.08 to 10.34, P=0.037) and maximum diameter of metastatic tumors ( HR=2.65,95% CI:1.19 to 5.88, P=0.017) were independent prognostic factors for overall survival following radical oophorectomy in patients with ovarian metastasis from colorectal cancer. Based on the regression coefficients from the multivariate analysis for variables (ovarian metastatic tumor diameter ≥6 cm, positive lymph node ratio ≥0.3,and presence of peritoneal metastasis or ascites), a risk scoring system was developed. Using the optimal cutoff value (154 points) for the risk score,patients were divided into high-risk (19 cases) and low-risk (62 cases) groups. Kaplan-Meier survival curves demonstrated that the high-risk group had significantly lower median overall survival (27 months) and median disease-free survival (22 months) compared to the low-risk group (median overall survival 90 months,median disease-free survival not reached; both P<0.01). Receiver operating characteristic curve analysis showed that the area under the curve(AUC) for predicting 1-,3-,and 5-year overall survival was 0.731(95% CI:0.563 to 0.899), 0.703(95% CI:0.573 to 0.833), and 0.776(95% CI: 0.657 to 0.894), respectively. The AUC for predicting 1-,3-, and 5-year disease-free survival was 0.724(95% CI:0.397 to 0.993),0.710(95% CI:0.514 to 0.906),and 0.688(95% CI:0.478 to 0.898),respectively,indicating good performance of the model.The decision curve analysis showed that the model has good clinical net benefit and the results of the 5-fold cross-validation showed that the model demonstrated stability in the internal dataset. Conclusions:When performing radical resection for ovarian metastasis from colorectal cancer,bilateral oophorectomy should be considered to minimize the risk of postoperative recurrence. Patients with ovarian metastasis from colorectal cancer,characterized by a metastatic tumor diameter ≥6 cm,a positive lymph node ratio ≥0.3,and the presence of peritoneal metastasis or ascites, tend to have a poorer prognosis. Based on these findings,a clinical prognostic scoring system for radical resection of ovarian metastasis from colorectal cancer has been developed to stratify patients into different risk groups and may assist in postoperative risk assessment and management.

This paper focuses on the application of health big data in cancer screening. Firstly, the sources and characteristics of health big data are introduced, then the commonly used epidemiological designs and analytical techniques in hospital-based cancer screening studies are summarized and the application scenarios of such studies are described. Finally, the challenges and future development in the application of health big data are analyzed to provide reference for the future studies.

Objective:To construct and validate a prognostic prediction model for patients with ovarian metastases from colorectal cancer after radical resection.Methods:A retrospective case series analysis was conducted on the clinical and pathological data of 81 patients with colorectal cancer and ovarian metastases who underwent radical resection for ovarian metastases at the Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, between January 2014 and December 2023. The patients were all female, with an age ( M(IQR)) of 49(13) years (range: 22 to 79 years). The primary tumor was located in the colon in 60 cases (74.1%) and in the rectum in 21 cases (25.9%). Univariate and multivariate Cox regression analyses were used to identify independent risk factors affecting prognosis. A risk scoring system was constructed, and patients were assigned to high-risk and low-risk groups based on their risk scores. The predictive performance of the scoring system was assessed, and 5-fold cross-validation was performed to evaluate the model′s stability on the internal dataset. Results:Among the 81 patients with ovarian metastases, a high proportion had T4 stage (58 cases, 71.6%), lymph node positivity (68 cases, 84.0%), and colon cancer (60 cases, 74.1%). Preoperative imaging suggested unilateral ovarian metastasis in 15 patients (23.4%), but pathological examination after bilateral oophorectomy confirmed bilateral ovarian metastases. Among the 17 patients who initially underwent unilateral oophorectomy, 11 developed contralateral ovarian metastases at varying times postoperatively. Univariate Cox proportional hazards regression analysis revealed that positive lymph node ratio ( HR=2.68,95% CI:1.41 to 5.09, P=0.003), N stage ( HR=2.07,95% CI:1.08 to 3.95, P=0.028),maximum diameter of metastatic tumors ( HR=2.27,95% CI:1.04 to 4.96, P=0.040),and peritoneal metastasis or ascites at the time of ovarian metastasis ( HR=2.04,95% CI:1.02 to 4.08, P=0.043) were significantly associated with overall survival in patients with ovarian metastasis from colorectal cancer. Multivariate regression analysis identified that positive lymph node ratio ( HR=3.34,95% CI:1.08 to 10.34, P=0.037) and maximum diameter of metastatic tumors ( HR=2.65,95% CI:1.19 to 5.88, P=0.017) were independent prognostic factors for overall survival following radical oophorectomy in patients with ovarian metastasis from colorectal cancer. Based on the regression coefficients from the multivariate analysis for variables (ovarian metastatic tumor diameter ≥6 cm, positive lymph node ratio ≥0.3,and presence of peritoneal metastasis or ascites), a risk scoring system was developed. Using the optimal cutoff value (154 points) for the risk score,patients were divided into high-risk (19 cases) and low-risk (62 cases) groups. Kaplan-Meier survival curves demonstrated that the high-risk group had significantly lower median overall survival (27 months) and median disease-free survival (22 months) compared to the low-risk group (median overall survival 90 months,median disease-free survival not reached; both P<0.01). Receiver operating characteristic curve analysis showed that the area under the curve(AUC) for predicting 1-,3-,and 5-year overall survival was 0.731(95% CI:0.563 to 0.899), 0.703(95% CI:0.573 to 0.833), and 0.776(95% CI: 0.657 to 0.894), respectively. The AUC for predicting 1-,3-, and 5-year disease-free survival was 0.724(95% CI:0.397 to 0.993),0.710(95% CI:0.514 to 0.906),and 0.688(95% CI:0.478 to 0.898),respectively,indicating good performance of the model.The decision curve analysis showed that the model has good clinical net benefit and the results of the 5-fold cross-validation showed that the model demonstrated stability in the internal dataset. Conclusions:When performing radical resection for ovarian metastasis from colorectal cancer,bilateral oophorectomy should be considered to minimize the risk of postoperative recurrence. Patients with ovarian metastasis from colorectal cancer,characterized by a metastatic tumor diameter ≥6 cm,a positive lymph node ratio ≥0.3,and the presence of peritoneal metastasis or ascites, tend to have a poorer prognosis. Based on these findings,a clinical prognostic scoring system for radical resection of ovarian metastasis from colorectal cancer has been developed to stratify patients into different risk groups and may assist in postoperative risk assessment and management.

This study aims to explore optimized teaching mode of cancer epidemiology for undergraduates, and provide scientific ideas and basis for improving teaching quality. Non-randomized concurrent control study was used. Undergraduates, enrolled in 2018, from the department of preventive medicine in A and B medical universities were selected as research objects. Traditional teaching mode was used for cancer epidemiology course in A medical university, and innovative teaching mode named "one core, four dimensions" was adopted in B medical university. After the course, questionnaire method was used to investigate self-cognition of students, teaching satisfaction and class preparation time of teachers in B Medical University. The post-class test method was used to compare the students′ grades of cancer epidemiology in the two universities. The results indicated that among the 58 students of B medical university, 94.83% (55/58) students were familiar with common types of epidemiological studies and 86.21% (50/58) mastered the evaluation indicators of screening research. Among the nine teaching faculties from B medical university, seven reported that the new teaching plan helped students to learn frontier knowledge of cancer epidemiology, and eight reported the new teaching model was conducive to the interaction between teachers and students. The text score of students in B medical university was 50.34±4.90, significantly higher than that in A medical university (46.21±4.91, t=5.20, P<0.001). The optimized teaching mode of cancer epidemiology is highly praised by students and teachers, which has the potential to improve students′ grasp of cancer epidemiology, the ability to combine theory with practice, and the teaching effect of cancer epidemiology.

Background::Non-smokers account for a large proportion of lung cancer patients, especially in Asia, but the attention paid to them is limited compared with smokers. In non-smokers, males display a risk for lung cancer incidence distinct from the females—even after excluding the influence of smoking; but the knowledge regarding the factors causing the difference is sparse. Based on a large multicenter prospective cancer screening cohort in China, we aimed to elucidate the interpretable sex differences caused by known factors and provide clues for primary and secondary prevention.Methods::Risk factors including demographic characteristics, lifestyle factors, family history of cancer, and baseline comorbidity were obtained from 796,283 Chinese non-smoking participants by the baseline risk assessment completed in 2013 to 2018. Cox regression analysis was performed to assess the sex difference in the risk of lung cancer, and the hazard ratios (HRs) that were adjusted for different known factors were calculated and compared to determine the proportion of excess risk and to explain the existing risk factors.Results::With a median follow-up of 4.80 years, 3351 subjects who were diagnosed with lung cancer were selected in the analysis. The lung cancer risk of males was significantly higher than that of females; the HRs in all male non-smokers were 1.29 (95% confidence interval [CI]: 1.20-1.38) after adjusting for the age and 1.38 (95% CI: 1.28-1.50) after adjusting for all factors, which suggested that known factors could not explain the sex difference in the risk of lung cancer in non-smokers. Known factors were 7% (|1.29-1.38|/1.29) more harmful in women than in men. For adenocarcinoma, women showed excess risk higher than men, contrary to squamous cell carcinoma; after adjusting for all factors, 47% ([1.30-1.16]/[1.30-1]) and 4% ([7.02-6.75]/[7.02-1])) of the excess risk was explainable in adenocarcinoma and squamous cell carcinoma. The main causes of gender differences in lung cancer risk were lifestyle factors, baseline comorbidity, and family history.Conclusions::Significant gender differences in the risk of lung cancer were discovered in China non-smokers. Existing risk factors did not explain the excess lung cancer risk of all non-smoking men, and the internal causes for the excess risk still need to be explored; most known risk factors were more harmful to non-smoking women; further exploring the causes of the sex difference would help to improve the prevention and screening programs and protect the non-smoking males from lung cancers.

BACKGROUND: The cancer burden in the United States of America (USA) has decreased gradually. However, China is experiencing a transition in its cancer profiles, with greater incidence of cancers that were previously more common in the USA. This study compared the latest cancer profiles, trends, and determinants between China and USA. METHODS: This was a comparative study using open-source data. Cancer cases and deaths in 2022 were calculated using cancer estimates from GLOBOCAN 2020 and population estimates from the United Nations. Trends in cancer incidence and mortality rates in the USA used data from the Surveillance, Epidemiology, and End Results program and National Center for Health Statistics. Chinese data were obtained from cancer registry reports. Data from the Global Burden of Disease 2019 and a decomposition method were used to express cancer deaths as the product of four determinant factors. RESULTS: In 2022, there will be approximately 4,820,000 and 2,370,000 new cancer cases, and 3,210,000 and 640,000 cancer deaths in China and the USA, respectively. The most common cancers are lung cancer in China and breast cancer in the USA, and lung cancer is the leading cause of cancer death in both. Age-standardized incidence and mortality rates for lung cancer and colorectal cancer in the USA have decreased significantly recently, but rates of liver cancer have increased slightly. Rates of stomach, liver, and esophageal cancer decreased gradually in China, but rates have increased for colorectal cancer in the whole population, prostate cancer in men, and other seven cancer types in women. Increases in adult population size and population aging were major determinants for incremental cancer deaths, and case-fatality rates contributed to reduced cancer deaths in both countries. CONCLUSIONS The decreasing cancer burden in liver, stomach, and esophagus, and increasing burden in lung, colorectum, breast, and prostate, mean that cancer profiles in China and the USA are converging. Population aging is a growing determinant of incremental cancer burden. Progress in cancer prevention and care in the USA, and measures to actively respond to population aging, may help China to reduce the cancer burden.
Adult ; Breast Neoplasms ; China/epidemiology* ; Female ; Humans ; Incidence ; Liver Neoplasms ; Male ; Neoplasms/epidemiology* ; Registries ; United States/epidemiology*

This study aims to explore optimized teaching mode of cancer epidemiology for undergraduates, and provide scientific ideas and basis for improving teaching quality. Non-randomized concurrent control study was used. Undergraduates, enrolled in 2018, from the department of preventive medicine in A and B medical universities were selected as research objects. Traditional teaching mode was used for cancer epidemiology course in A medical university, and innovative teaching mode named "one core, four dimensions" was adopted in B medical university. After the course, questionnaire method was used to investigate self-cognition of students, teaching satisfaction and class preparation time of teachers in B Medical University. The post-class test method was used to compare the students′ grades of cancer epidemiology in the two universities. The results indicated that among the 58 students of B medical university, 94.83% (55/58) students were familiar with common types of epidemiological studies and 86.21% (50/58) mastered the evaluation indicators of screening research. Among the nine teaching faculties from B medical university, seven reported that the new teaching plan helped students to learn frontier knowledge of cancer epidemiology, and eight reported the new teaching model was conducive to the interaction between teachers and students. The text score of students in B medical university was 50.34±4.90, significantly higher than that in A medical university (46.21±4.91, t=5.20, P<0.001). The optimized teaching mode of cancer epidemiology is highly praised by students and teachers, which has the potential to improve students′ grasp of cancer epidemiology, the ability to combine theory with practice, and the teaching effect of cancer epidemiology.

Objective To evaluate the prognosis of drug-during stent (DES) implantation in elderly patients versus non-elderly patients, and to determine the clinical outcome of complete revascularization strategy versus incomplete revascularization strategy in elderly patients. Methods Patients who were treated with at least 1 DES in our hospital were enrolled in the study. They were divided into 3 groups: the elderly group (aged 75～89 years), the presenium group (age 60～74years) and the non-elderly group (aged 40～59 years). The patients aged 60～89 years were further divided into complete revascularization group and incomplete revascularization group according the Percutaneous interventional the rapy (PCI) strategy. Clinical characteristics, angiographical and interventional data were collected. Results The success rate of PCI procedure was 99.3% in elderly group(n=137), 98.7% in presenium group(n= 1006), and 99.3% in non-elderly group(n= 1031).There were no significant differences among the three groups(P>0.05). The in-hospital mortality was highest in the elderly group among the three groups (1.5%, 0.4%, 0.1%, P<0.05), but the in-hospital rates of re-infarction, repeated revascularization and stroke had no significant differences among the three groups (P>0.05). During follow-up, the rates of death and stroke were highest in the elderly group(3.1%, 2.3%, 0.7%, P<0. 01;1.5% , 1.3%, 0.3%, P<0.05, respectively),but the rates of re-infarction and repeated revascularization among the three groups had no significant differences (all P>0.05). By Cox regression analysis, serum creatinine (OR= 2.961,95%CI=1. 643～5.338,P<0.01), gender (OR=2.661,95%C1=1.376～5.145 ,P<0.01), age(OR=2.687,95%CI=1.329～5.434, P<0.01), multi-vessel disease(OR= 1.735,95 %CI= 1.132～2.661, P<0.05), and old myocardial infarction (OR = 2.041 ; 95% CI = 1.026～4.061; P<0.05) were the independent predictors for all-cause death in patients aged 60～74 years. The in-hospital mortality was higher in the incomplete revascularization group than in complete revascularization group in patients aged 60～74 years (1.4% vs. 0.2%, P<0.05). Multiple logistic regression analysis revealed that the incomplete revascularization strategy was not the independent predictor of in-hospital death (OR=0.307; 95%CI=0.011～8.467; P>0.05). Conclusions Although DES implanting is successfully procedured in presenium and elderly patients, it is associated with higher in-hospital mortality, especially in patients aged ≥75 years . Presenium and elderly patients are to be more benefit from complete revascularization strategy, but the incomplete revascularization strategy does not influence the long-term outcomes.

Objective To assess the effect of anemia on long-term outcomes in patients with acute coronary syndrome(ACS) undergoing pereutaneous coronary intervention(PCI). Methods In 3136 patients presenting with ACS,636 patients were anemic. The clinical features, mortality and major cardiocerebral events including non-fatal acute myocardial infaret,revascularization and non-fatal cerebral stroke were compared in patients with or without anemia. The average follow-up period was 550 days. Results Anemic patients were older and had a higher percentage of comorbidities compared with nonanemic cohorts. Compared with nonanemic patients, anemic patients had higher mortality (4.7% versus 1.5% ,P <0. 001) and a higher major adverse end point events,including nonfatalmyocardial infarction, stroke and revaseularization (14.2% versus 11.0%, P = 0.032). After adjustment for comorbidities, anemia was associated with a higher risk of mortality after percutaneous coronary intervention (adjusted hazard rate ratioRR2. 166 ;95% CI 1. 298-3. 612 ;P =0.003). Conclusion Anemia before PCI is an independent factor for predicting the long-term mortality of ACS.