Female ; Humans ; Endodermal Sinus Tumor/pathology* ; Adenocarcinoma/pathology* ; Choriocarcinoma/pathology*

Objective: To investigate the clinicopathological characteristics of esophageal carcinoma with gland duct differentiation. Methods: The clinical, morphologic and immunohistochemical (IHC) features of eight cases of esophageal carcinoma with gland duct differentiation diagnosed from 2012 to 2022 at the First Affiliated Hospital of Soochow University were summarized. Results: There were four males and four females, with a mean age of 68.5 (range 59-82) years. Two tumors were located in middle esophagus, five in the lower esophagus, and one in the cardia. The mean diameter was 2.4 cm (range 0.6-4.5 cm). The tumor had a bilayer epithelial structure, including the inner luminal epithelium and the outer basal epithelium. Immunohistochemistry showed that CK7 (8/8) and CK18 (8/8) were positive in the inner epithelium. p40 (8/8), p63 (8/8) and CK5/6 (8/8) were positive in the outer epithelium. SMA, calponin and CD117 were all negative. p53 mutants were found in all eight cases (strong and diffuse positivity in 6/8; complete loss of expression in 2/8). No columnar metaplasia, intestinal metaplasia and ectopic gastric mucosa were observed in the surface squamous epithelium in the cases. The mean follow-up time was 21.5 months (range 5-51 months). Seven patients survived and one patient died 31 months after surgery due to recurrence and liver metastasis. Conclusion: Esophageal carcinoma with esophageal gland duct differentiation is a rare tumor with unique histologic and IHC characteristics.
Male ; Female ; Humans ; Middle Aged ; Aged ; Aged, 80 and over ; Esophageal Neoplasms/pathology* ; Epithelium/pathology* ; Metaplasia/metabolism* ; Carcinoma/pathology*

Humans ; Herpesvirus 4, Human ; Epstein-Barr Virus Infections/complications* ; Cholangiocarcinoma/pathology* ; Carcinoma, Squamous Cell ; Bile Ducts, Intrahepatic/pathology* ; Bile Duct Neoplasms/pathology*

Humans ; Thyroid Cancer, Papillary ; Neck/pathology* ; Lymph Nodes/pathology* ; Thyroid Neoplasms/pathology* ; Lymphoma, T-Cell/pathology*

Objective: To investigate the clinicopathological features of perivascular epithelioid cell tumor (PEComa) of the lung. Methods: Eight PEComa cases of the lung diagnosed at the First Affiliated Hospital of Soochow University, Suzhou, China from July 2008 to December 2021 were collected and subject to immunohistochemical staining, fluorescence in situ hybridization and next generation sequencing. The relevant literature was reviewed and the clinicopathological features were analyzed. Results: There were 5 males and 3 females, aged from 18 to 70 years (mean 39 years). There were 3 cases of the right upper lung, 3 cases of the left lower lung, 1 case of the left upper lung and 1 case of the right middle lung. Seven cases were solitary and 1 case was multifocal (4 lesions). Seven cases were benign while one was malignant. The tumors were all located in the peripheral part of the lung, with a maximum diameter of 0.2-4.0 cm. Grossly, they were oval and well circumscribed. Microscopically, the tumor cells were oval, short spindle-shaped, arranged in solid nests, acinar or hemangiopericytoma-like patterns, with clear or eosinophilic cytoplasm. The stroma was rich in blood vessels with hyalinization. Coagulated necrosis and high-grade nuclei were seen in the malignant case, and calcification was seen in 2 cases. Immunohistochemically, the tumor cells were positive for Melan A (8/8), HMB45 (7/8), CD34 (6/8), TFE3 (4/7), and SMA (3/8). All cases were negative for CKpan and S-100. TFE3 (Xp11.2) gene fusion was examined using the TFE3 break-apart fluorescence in situ hybridization in 5 cases, in which only the malignant case was positive. The next generation sequencing revealed the SFPQ-TFE3 [t(X;1)(p11.2;p34)] fusion. Follow-up of the patients ranged from 12 to 173 months while one patient was lost to the follow-up. The malignant case had tumor metastasis to the brain 4 years after the operation and then received radiotherapy. Other 6 cases had no recurrence and metastasis, and all the 7 patients survived. Conclusions: Most of the PEComas of the lung are benign. When there are malignant morphological features such as necrosis, high-grade nuclei or SFPQ-TFE3 gene fusion, close follow-up seems necessary.
Male ; Female ; Humans ; In Situ Hybridization, Fluorescence ; Perivascular Epithelioid Cell Neoplasms/pathology* ; Lung/pathology* ; Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/genetics* ; Necrosis ; Biomarkers, Tumor/analysis*

Adult ; Air Pollutants, Occupational ; Humans ; Lung ; Male ; Occupational Diseases ; Occupational Exposure ; Vital Capacity ; Welding

Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
China ; Cohort Studies ; Delivery of Health Care ; Humans ; Population Surveillance ; Quality Control ; Reference Standards

Objective: To study the relationship between the age of menarche and the near-term/long-term obesity in adult women. Methods: We analyzed the baseline data of 30 895 women with complete data on menarche and body measurement that was from the China Kadoorie Biobank (CKB) study from 2004 to 2008. The age of menarche was divided into three groups: ≤12, 13-16 and ≥17 years old. Prematurity was set at age ≤12 years. Multivariate logistic regression was used to analyze the effects of menarche age on the near/long-term obesity in female adults. Results: The average menarche age of respondent appeared as (15.64±1.92) years old, with prematurity number as 1 421, accounting for 4.6% of the total numbers. Regarding the postponing of dates of birth, the age of menarche in women showed an advancing tendency. Among all the adult women under study, 803 developed near-term obesity, with the prevalence as 2.6%, while the number of long-term obesity was 3 738, accounting for 12.1%. Refining factors of age, lifestyle, menopausal status, hypertension and diabetes showed that the menarche age was related to the risks of both short-term and long-term obesity in women and the ORs (95%CI) were 2.45 (1.74-3.45) and 1.99 (1.69-2.34), respectively. There was no multiplicative interaction shown between the menarche age and menopausal status on long-term obesity (P=0.324). Conclusion: Premature menarche appeared a risk factor for near-term/long-term obesity in adult females.
Adolescent ; Adult ; Age Factors ; China/epidemiology* ; Diabetes Mellitus/epidemiology* ; Female ; Humans ; Menarche ; Obesity/epidemiology* ; Risk Factors

Objective: To explore the relationship between environmental factors as urinary cadmium and type 2 diabetes mellitus (DM) in adults. Methods: Case-control study was adopted, including 166 cases and 427 controls. General characteristics of the subjects were collected by a structured questionnaire. FPG, biochemical indexes and urinary cadmium (UCd) were detected respectively, while UCd was corrected with creatinine. Unconditioned logistic regression model was applied to analyze the relationship between UCd and DM. Results: Levels of UCd appeared higher in cases with the following characteristics as: having primary school education (P=0.016), being female (P=0.013), being non-smokers (P=0.014) or non-alcoholic (P=0.025), and with BMI>25.00 kg/m(2) (P=0.040, P=0.025) than those appeared in the control group. Same results were shown in the 60-69 years (P=0.024) old group. Data from the unconditional logistic regression analysis showed that family history of DM (OR=3.19, 95%CI: 1.45-7.03), education status (OR=1.50,95%CI: 1.08-2.08) and UCd (OR=1.61, 95%CI: 1.08-2.41) were influencing factors on DM. Conclusion: A close association between UCd and DM was noticed. UCd appeared a risk factor on DM that called for setting up related prevention program to reduce the exposure of Cd and to control the risk on DM.
Adult ; Cadmium/urine* ; Case-Control Studies ; China/epidemiology* ; Creatinine ; Diabetes Mellitus, Type 2/epidemiology* ; Female ; Humans ; Risk Factors ; Socioeconomic Factors

Objective: Based on data related to arsenic contents in paddy rice, as part of the food safety monitoring programs in 2017, to discuss and explore the application of spatial analysis used for food safety risk assessment. Methods: One province was chosen to study the spatial visualization, spatial point model estimation, and kernel density estimation. Moran's I statistic of spatial autocorrelation methods was used to analyze the spatial distribution at the county level. Results: Data concerning the spatial point model estimation showed that the spatial distribution of pollution appeared relatively dispersive. From the kernel density estimation, we found that the hot spots of pollution were mainly located in the central and eastern regions. The global Moran's I values appeared as 0.11 which presented low spatial aggregation to the rice arsenic contamination and with statistically significant differences. One "high-high" and two typical "low-low" clustering were seen in this study. Conclusion: Results from our study provided good visual demonstration, identification of pollution distribution rules, hot spots and aggregation areas for research on the distribution of food pollutants. Spatial statistics can provide technical support for the implementation of issue-based monitoring programs.
Arsenic/adverse effects* ; China ; Cluster Analysis ; Food Contamination ; Food Supply ; Humans ; Spatial Analysis