Cancer incidence in China has been rising steadily,with a particularly heavy burden from several high-prevalence malignancies.Medical examination for cancer plays a critical role in the early detection of cancer,precancerous lesions,and precursor conditions,thereby facilitating timely diagnosis and intervention.Such examination also addresses the growing demand for person-alized cancer screening services among diverse population groups.The development of evidence-based,context-specific cancer screening guidelines is essential to enhance the standardization,quality,and equity of preventive screening practices across the country,ultimately improving out-comes in early cancer detection and treatment.Guided by the Department of Medical Emergency Response of the National Health Commission,the Guidelines for Medical Examination for Cancer in Health Examination Agency(2025 Edition)were developed under the leadership of the National Cancer Center.A multidisciplinary panel of experts formulated the guidelines in accordance with the principles and methodology of the World Health Organization Handbook for Guideline Deve-lopment.The guidelines provide evidence-based recommendations on key clinical domains:target cancers and populations,overall screening workflow,screening protocols,diagnostic technolo-gies,result interpretation,follow-up procedures,and quality control.The primary objective is to standardize cancer screening practices in health examination agency and strengthen China's ca-pacity for prevention and control of high-burden cancers.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

Cancer incidence in China has been rising steadily,with a particularly heavy burden from several high-prevalence malignancies.Medical examination for cancer plays a critical role in the early detection of cancer,precancerous lesions,and precursor conditions,thereby facilitating timely diagnosis and intervention.Such examination also addresses the growing demand for person-alized cancer screening services among diverse population groups.The development of evidence-based,context-specific cancer screening guidelines is essential to enhance the standardization,quality,and equity of preventive screening practices across the country,ultimately improving out-comes in early cancer detection and treatment.Guided by the Department of Medical Emergency Response of the National Health Commission,the Guidelines for Medical Examination for Cancer in Health Examination Agency(2025 Edition)were developed under the leadership of the National Cancer Center.A multidisciplinary panel of experts formulated the guidelines in accordance with the principles and methodology of the World Health Organization Handbook for Guideline Deve-lopment.The guidelines provide evidence-based recommendations on key clinical domains:target cancers and populations,overall screening workflow,screening protocols,diagnostic technolo-gies,result interpretation,follow-up procedures,and quality control.The primary objective is to standardize cancer screening practices in health examination agency and strengthen China's ca-pacity for prevention and control of high-burden cancers.

Objective:To analyze the clinical characteristics and prognosis of patients with myelodysplastic syndrome (MDS) with a bone marrow nucleated erythroid cell proportion of greater than or equal to 50% (MDS-E) .Methods:The clinical characteristics and prognostic factors of patients with MDS-E were retrospectively analyzed by collecting the case data of 1 436 newly treated patients with MDS diagnosed in the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences from May 2014 to June 2023.Results:A total of 1 436 newly diagnosed patients with complete data were included in the study, of which 337 (23.5%) patients with MDS-E had a younger age of onset and lower neutrophil and platelet counts compared with those in patients with an erythroid cell proportion of less than 50% (MDS-NE) (all P<0.05). The proportion of MDS cases with ring sideroblasts (MDS-RS) was higher in the MDS-E group than in the MDS-NE group, and multi-hit TP53 mutations were more enriched in the MDS-E group than in the MDS-NE group (all P<0.05). Among patients with MDS-RS, the frequency of complex karyotypes and the TP53 mutation rate were significantly lower in the MDS-E group than in the MDS-NE group (0 vs 11.9%, P=0.048 and 2.4% vs 15.1%, P=0.053, respectively). Among patients with TP53 mutations, the frequencies of complex karyotypes and multi-hit TP53 mutations were significantly higher in the MDS-E group than in the MDS-NE group (87.5% vs 64.6%, P=0.003 and 84.0% vs 54.2%, P<0.001, respectively). Survival analysis of patients with MDS-RS found that the overall survival (OS) in the MDS-E group was better than that in the MDS-NE group [not reached vs 63 (95% CI 53.3-72.7) months, P=0.029]. Among patients with TP53 mutations and excess blasts, the OS in the MDS-E group was worse than that in the MDS-NE group [6 (95% CI 2.2-9.8) months vs 12 (95% CI 8.9-15.1) months, P=0.022]. Multivariate analysis showed that age of ≥65 years ( HR=2.47, 95% CI 1.43-4.26, P=0.001), mean corpuscular volume (MCV) of ≤100 fl ( HR=2.62, 95% CI 1.54-4.47, P<0.001), and TP53 mutation ( HR=2.31, 95% CI 1.29-4.12, P=0.005) were poor prognostic factors independent of the Revised International Prognostic Scoring System (IPSS-R) prognosis stratification in patients with MDS-E. Conclusion:Among patients with MDS-RS, MDS-E was strongly associated with a lower proportion of complex karyotypes and TP53 mutations, and the OS in the MDS-E group was longer than that in the MDS-NE group. Among patients with TP53 mutations, MDS-E was strongly associated with complex karyotypes and multi-hit TP53 mutations, and among TP53-mutated patients with excess blasts, the OS in the MDS-E group was shorter than that in the MDS-NE group. Age of ≥65 years, MCV of ≤100 fl, and TP53 mutation were independent adverse prognostic factors affecting OS in patients with MDS-E.

Objective To investigate the expression of spalt like transcription factor 4(Sall4)in pancreatic cancer tissues and its clinical significance,as well as the impact of inhibiting its gene expression on the migration and invasion of pancreatic cancer cells.Methods This study involved 64 patients with pancreatic cancer treated at the 2nd Affiliated Hospital of Kunming Medical University from January 2014 to January 2018.Immunohistochemical staining was used to detect the expression of Sall4 protein in adjacent non-tumor tissues and pancreatic cancer tissues,respectively.Real-time quantitative PCR was used to measure the mRNA expression levels of Sall4 in the cancerous and adjacent non-tumor tissues,respectively.The relationship between the clinicopathological data of these patients and the expression of Sall4 protein was also analyzed.The cells of high Sall4 expression were screened from the human pancreatic cancer cell lines PANC-1,Capan-1,SW 1990,HPAC,and HPAF-Ⅱ.The pancreatic cancer cells of high Sall4 expression were divided into three groups:control group,shRNA-1 group,and shRNA-2 group.The shRNA-1 and shRNA-2 groups were transfected with the corresponding Sall4 lentiviral inhibitory gene sequences,while the control group was transfected with the reagent without an interference sequence.Western blotting was used to measure the expression of Sall4,and cells with significantly reduced expression were selected for subsequent experiments.The transfected cells were then assessed for their invasive and migratory abilities.Results Among the 64 samples of pancreatic cancer tissues,28 cases(43.8％)were positive for Sall4 expression,a rate significantly higher than 5 cases(7.8％)in adjacent non-tumor tissues.Furthermore,16 cases exhibited strong positivity,while 12 cases showed moderate or weak positivity.Recurrence occurred in 11 pancreatic cancer patients.The difference was statistically significant.The expression of Sall4 was correlated with tumor differentiation,staging,and lymph node metastasis,suggesting that Sall4 positivity might be an independent risk factor affecting the prognosis of pancreatic cancer.Among the five cell lines,PANC-1 had the highest relative expression of Sall4 and was selected for further experiments.The shRNA-1 and shRNA-2 groups successfully suppressed the expression of Sall4,with the shRNA-1 group showing a more pronounced effect.Compared to the control group,the invasive and migratory abilities of SW480 cells were significantly reduced in the shRNA-1 group(P＜0.05).Conclusion Sall4 is highly expressed in pancreatic cancer tissues,and higher expression is associated with a greater likelihood of postoperative recurrence.Inhibiting the expression of Sall4 can significantly suppress the invasion and migration abilities of human pancreatic cancer cells.

ObjectiveTo explore the association between dietary retinol intake and prognosis of patients with esophageal squamous cell carcinoma. MethodsThe study enrolled 388 cases with primary esophageal squamous cell carcinoma that was pathologically diagnosed in the first affiliated hospital of Fujian medical university and the cancer hospital of Fujian medical university from July 2014 to August 2019. Chi-square test was used to determine the relationship between retinol and patients' characteristics. Kruskal-Wallis rank sum test was used to analyze the relationship between retinol and multiple nutrients. Cox proportional hazards regression model was used to explore the association between dietary retinol and esophageal squamous cell carcinoma. ResultsPatients with esophageal squamous cell carcinoma did not significantly differ in gender， age， TNM stage， tumor length or nutrient intake by different retinol intakes （P>0.05）. Multivariate Cox regression analysis showed that the high retinol intake group had a better prognosis （overal survial：HR=0.279，95%CI：0.150‒0.520，P<0.001；disease-free survival：HR=0.306，95%CI：0.181‒0.516，P<0.001）. ConclusionHigh dietary retinol intake may improve the prognosis of patients with esophageal squamous cell carcinoma.

Objective::To explore the risk factors and pregnancy outcomes in women with a history of cesarean section complicated by placenta accreta (PA).Methods::This case-control study included clinical data from singleton mothers with a history of cesarean section in 11 public tertiary hospitals in seven provinces of China between January 2017 and December 2017. According to the intraoperative findings after delivery, the study population was divided into PA and non-PA groups. We compared the pregnancy outcomes between the two groups, used multivariate logistic regression to analyze the risk factors for placental accreta.Results::For this study we included 11,074 pregnant women with a history of cesarean section; and of these, 869 cases were in the PA group and 10,205 cases were in the non-PA group. Compared with the non-PA group, the probability of postpartum hemorrhage (236/10,205, 2.31% vs. 283/869, 32.57%), severe postpartum hemorrhage (89/10,205, 0.87% vs. 186/869, 21.75%), diffuse intravascular coagulation (3/10,205, 0.03% vs. 4/869, 0.46%), puerperal infection (33/10,205, 0.32% vs. 12/869, 1.38%), intraoperative bladder injury (1/10,205, 0.01% vs. 16/869, 1.84%), hysterectomy (130/10,205, 1.27% vs. 59/869, 6.79%), and blood transfusion (328/10,205,3.21 % vs. 231/869,26.58%) was significantly increased in the PA group ( P < 0.05). At the same time, the neonatal birth weight (3250.00 (2950.00-3520.00) g vs. 2920.00 (2530.00-3250.00) g), the probability of neonatal comorbidities (245/10,205, 2.40% vs. 61/869, 7.02%), and the rate of neonatal intensive care unit admission (817/10,205, 8.01% vs. 210/869, 24.17%) also increased significantly ( P < 0.05). Weight (odds ratio ( OR)= 1.03, 95% confidence interval ( CI): 1.01-1.05)), parity ( OR= 1.18, 95% CI: 1.03-1.34), number of miscarriages ( OR= 1.31, 95% CI: 1.17-1.47), number of previous cesarean sections ( OR= 2.57, 95% CI: 2.02-3.26), history of premature rupture of membrane ( OR= 1.61, 95% CI: 1.32-1.96), previous cesarean-section transverse incisions ( OR= 1.38, 95% CI: 1.12-1.69), history of placenta previa ( OR= 2.44,95% CI: 1.50-3.96), and the combination of prenatal hemorrhage ( OR= 9.95,95% CI: 8.42-11.75) and placenta previa ( OR= 91.74, 95% CI: 74.11-113.56) were all independent risk factors for PA. Conclusion::There was an increased risk of adverse outcomes in pregnancies complicated by PA in women with a history of cesarean section, and this required close clinical attention. Weight before pregnancy, parity, number of miscarriages, number of previous cesarean sections, history of premature rupture of membranes, past transverse incisions in cesarean sections, a history of placenta previa, prenatal hemorrhage, and placenta previa were independent risk factors for pregnancies complicated with PA in women with a history of cesarean section. These independent risk factors showed a high value in predicting the risk for placentab accreta in pregnancies of women with a history of cesarean section.

Objective::To explore the risk factors and pregnancy outcomes in women with a history of cesarean section complicated by placenta accreta (PA).Methods::This case-control study included clinical data from singleton mothers with a history of cesarean section in 11 public tertiary hospitals in seven provinces of China between January 2017 and December 2017. According to the intraoperative findings after delivery, the study population was divided into PA and non-PA groups. We compared the pregnancy outcomes between the two groups, used multivariate logistic regression to analyze the risk factors for placental accreta.Results::For this study we included 11,074 pregnant women with a history of cesarean section; and of these, 869 cases were in the PA group and 10,205 cases were in the non-PA group. Compared with the non-PA group, the probability of postpartum hemorrhage (236/10,205, 2.31% vs. 283/869, 32.57%), severe postpartum hemorrhage (89/10,205, 0.87% vs. 186/869, 21.75%), diffuse intravascular coagulation (3/10,205, 0.03% vs. 4/869, 0.46%), puerperal infection (33/10,205, 0.32% vs. 12/869, 1.38%), intraoperative bladder injury (1/10,205, 0.01% vs. 16/869, 1.84%), hysterectomy (130/10,205, 1.27% vs. 59/869, 6.79%), and blood transfusion (328/10,205,3.21 % vs. 231/869,26.58%) was significantly increased in the PA group ( P < 0.05). At the same time, the neonatal birth weight (3250.00 (2950.00-3520.00) g vs. 2920.00 (2530.00-3250.00) g), the probability of neonatal comorbidities (245/10,205, 2.40% vs. 61/869, 7.02%), and the rate of neonatal intensive care unit admission (817/10,205, 8.01% vs. 210/869, 24.17%) also increased significantly ( P < 0.05). Weight (odds ratio ( OR)= 1.03, 95% confidence interval ( CI): 1.01-1.05)), parity ( OR= 1.18, 95% CI: 1.03-1.34), number of miscarriages ( OR= 1.31, 95% CI: 1.17-1.47), number of previous cesarean sections ( OR= 2.57, 95% CI: 2.02-3.26), history of premature rupture of membrane ( OR= 1.61, 95% CI: 1.32-1.96), previous cesarean-section transverse incisions ( OR= 1.38, 95% CI: 1.12-1.69), history of placenta previa ( OR= 2.44,95% CI: 1.50-3.96), and the combination of prenatal hemorrhage ( OR= 9.95,95% CI: 8.42-11.75) and placenta previa ( OR= 91.74, 95% CI: 74.11-113.56) were all independent risk factors for PA. Conclusion::There was an increased risk of adverse outcomes in pregnancies complicated by PA in women with a history of cesarean section, and this required close clinical attention. Weight before pregnancy, parity, number of miscarriages, number of previous cesarean sections, history of premature rupture of membranes, past transverse incisions in cesarean sections, a history of placenta previa, prenatal hemorrhage, and placenta previa were independent risk factors for pregnancies complicated with PA in women with a history of cesarean section. These independent risk factors showed a high value in predicting the risk for placentab accreta in pregnancies of women with a history of cesarean section.

Objective:This study aims to examine the incidence and risk factors of violent behaviors in community-dwelling unmedicated patients with severe mental disorders in Shenzhen.Methods:The baseline and follow-up data of unmedicated patients with severe mental disorders were collected from the Information Management System of Mental Health Prevention and Control in Shenzhen. The incidence of violent behaviors in unmedicated patients was described. The influencing factors of violent behaviors were analyzed using logistic regression model.Results:A total of 3 163 patients were included. The incidence of violent behaviors was 9.1% (288/3 163) in 2019. Multivariate logistic regression analysis showed that having an acute illness onset ( OR=1.589, 95 %CI 1.181-2.139) was the risk factor of violent behaviors, while having cohabitants ( OR=0.596, 95 %CI 0.410-0.867), being diagnosed as mental retardation comorbid with psychotic disorders ( OR=0.432, 95 %CI 0.199-0.938), having application for carers allowances ( OR=0.440, 95 %CI 0.319-0.606), and participating in family doctor services ( OR=0.642, 95 %CI 0.492-0.838) and community face-to-face interviews during 2019 ( OR (1-2 times vs. 0 times)=0.633, 95 %CI 0.466-0.861; OR (3-4 times vs. 0 times)=0.546, 95 %CI 0.368-0.811) were the protective factors. Conclusions:The incidence of violent behaviors is high in unmedicated patients with severe mental disorders with acute illness onset. The improvement of comprehensive level of community mental health services and the development of targeted intervention measures would help to reduce the occurrence of violent behaviors among unmedicated patients with severe mental disorders in the community.