1.Plurihormonal PIT1-lineage pituitary neuroendocrine tumors: a clinicopathological study.
Z J DUAN ; J FENG ; H Q ZHAO ; H D WANG ; Q P GUI ; X F ZHANG ; Z MA ; Z J HU ; L XIANG ; X L QI
Chinese Journal of Pathology 2023;52(10):1017-1024
Objective: To investigate the clinicopathological characteristics of plurihormonal PIT1-lineage pituitary neuroendocrine tumors. Methods: Forty-eight plurihormonal PIT1-lineage tumors were collected between January 2018 and April 2022 from the pathological database of Sanbo Brain Hospital, Capital Medical University. The related clinical and imaging data were retrieved. H&E, immunohistochemical and special stains were performed. Results: Out of the 48 plurihormonal PIT1-lineage tumors included, 13 cases were mature PIT1-lineage tumors and 35 cases were immature PIT1-lineage tumors. There were some obvious clinicopathological differences between the two groups. Clinically, the mature plurihormonal PIT1-lineage tumor mostly had endocrine symptoms due to increased hormone production, while a small number of immature PIT1-lineage tumors had endocrine symptoms accompanied by low-level increased serum pituitary hormone; patients with the immature PIT1-lineage tumors were younger than the mature PIT1-lineage tumors; the immature PIT1-lineage tumors were larger in size and more likely invasive in imaging. Histopathologically, the mature PIT1-lineage tumors were composed of large eosinophilic cells with high proportion of growth hormone expression, while the immature PIT1-lineage tumors consisted of chromophobe cells with a relatively higher expression of prolactin; the mature PIT1-lineage tumors had consistently diffuse cytoplasmic positive staining for keratin, while the immature PIT1-lineage tumors had various expression for keratin; the immature PIT1-lineage tumors showed more mitotic figures and higher Ki-67 proliferation index; in addition, 25.0% (12/48) of PIT1-positive plurihormonal tumors showed abnormal positive staining for gonadotropin hormones. There was no significant difference in the progression-free survival between the two groups (P=0.648) by Kaplan-Meier analysis. Conclusions: Plurihormonal PIT1-lineage tumor belongs to a rare type of PIT1-lineage pituitary neuroendocrine tumors, most of which are of immature lineage. Clinically increased symptoms owing to pituitary hormone secretion, histopathologically increased number of eosinophilic tumor cells with high proportion of growth hormone expression, diffusely cytoplasmic keratin staining and low proliferative activity can help differentiate the mature plurihormonal PIT1-lineage tumors from the immature PIT1-lineage tumors. The immature PIT1-lineage tumors have more complicated clinicopathological characteristics.
Humans
;
Neuroendocrine Tumors
;
Pituitary Neoplasms/pathology*
;
Pituitary Hormones
;
Growth Hormone/metabolism*
;
Keratins
3.A Meta-analysis on the relations between short-term exposure to PM(2.5) and both mortality and related emergency visits in China.
M LI ; Y WU ; Y H TIAN ; G Y CAO ; S S YAO ; P AI ; Z HUANG ; C HUANG ; X W WANG ; Y Y CAO ; X XIANG ; J JUAN ; Y H HU
Chinese Journal of Epidemiology 2018;39(10):1394-1401
Objective: To carry out a quantitative estimate that related to the effects of short-term exposure to PM(2.5) on all-cause mortality and emergency visits in China by using the systematic review and Meta-analysis. Methods: We selected all the studies published before March 2018 from China National Knowledge Infrastructure, Wanfang database, PubMed and EMBASE and data on relative risk (RR), excess risk (ER) and their 95%CIs: appeared in these papers were extracted. According to the differences in the size or direction (heterogeneity) of the results, we computed summary estimates of the effect values using a random-effect or fixed effect model. We also conducted the subgroup analysis and Meta-analysis to have assessed the selected studies for the evidence of study bias. Results: A total of 33 original studies, indexed in databases, were identified. Among those studies, 39 sets of data on mortality and 4 sets of data on emergency were valid to show that within the daily concentration range from 47.7 to 176.7 μg/m(3), for 10 μg/m(3) increases in PM(2.5) concentrations, it would increase the daily numbers of deaths by 0.49% (95%CI: 0.39%-0.59%) and 0.30% (95%CI: 0.10%-0.51%) for all-cause deaths and all-cause emergency-room visits, respectively. For subgroup analysis, the combined effect of PM(2.5) in causing short-term all-cause deaths in the northern areas (ER=0.42%, 95%CI: 0.30%-0.54%) seemed lower than that in the southern areas (ER=0.63%, 95%CI: 0.44%-0.82%). The combined effect of PM(2.5) concentration below 75 μg/m(3) (ER=0.50%, 95%CI: 0.37%-0.62%) was higher than that of PM(2.5) concentration ≥75 μg/m(3) (ER=0.39%, 95%CI: 0.26%-0.52%). Conclusion: Within the concentration range from 47.7 to 176.7 μg/m(3), short-term exposure to current level of PM(2.5) might increase both the all-cause daily mortality and daily emergency visits in China.
Air Pollutants
;
Air Pollution/statistics & numerical data*
;
China
;
Databases, Factual
;
Emergency Service, Hospital/statistics & numerical data*
;
Environmental Exposure/statistics & numerical data*
;
Female
;
Humans
;
Male
;
Particulate Matter/toxicity*
;
Time Factors
4.Malignant gastrointestinal neuroectodermal tumor: a clinicopathological analysis of three cases.
C Y FAN ; Y X WANG ; P Z HU ; S J YANG
Chinese Journal of Pathology 2023;52(8):791-796
Objective: To investigate the clinicopathological characteristics of malignant gastrointestinal neuroectodermal tumors (GNET), and to describe their clinical, histological, immunophenotypic, ultrastructural, and molecular features, diagnosis and differential diagnosis. Methods: Three cases of malignant GNET were collected at Xijing Hospital of the Fourth Military Medical University, from 2013 to 2022. All patients underwent surgical resection of the tumor. Histological, immunohistochemical (IHC), ultrastructural and molecular genetic analyses were performed, and the patients were followed up for six months, three years and five years. Results: There were two males and one female patients. The tumors were located in the ileum, descending colon, and rectum, respectively. Grossly, the tumors were solid, firm, and poorly circumscribed, measured in size from 2 to 4 cm in greatest dimension, and had a greyish-white cut surface. These tumors were histologically characterized by a sheet-like or nested population of oval to spindled cells or epithelioid cells with weakly eosinophilic or clear cytoplasm, small nucleoli and scattered mitoses. Electron microscopy showed neuroendocrine differentiation, and no evidence of melanogenesis. IHC staining showed that the tumor cells were diffusely positive for S-100 protein, SOX10, CD56, synaptophysin and vimentin. They were negative for melanocytic markers, HMB45 and Melan A. All three cases showed split EWSR1 signals consistent with a chromosomal translocation involving EWSR1. Next-generation sequencing in one case confirmed the presence of EWSR1-ATF1 fusion. These patients were followed up for 6 months, 3 years and 5 years, respectively, and all of them developed possible lung or liver metastases, and one of them died of multiple pulmonary metastases. Conclusion: Malignant GNET has distinctive morphological, IHC, and molecular genetic features and it should be differentiated from other malignancies of the gastrointestinal tract, especially clear cell sarcoma and melanoma.
Male
;
Humans
;
Female
;
Biomarkers, Tumor/analysis*
;
Gastrointestinal Neoplasms/pathology*
;
S100 Proteins/analysis*
;
Melanoma
6.A study on the burden and causes of hospitalization and deaths in Shenzhen, between 1995 and 2014.
J ZHANG ; L C HONG ; X B WANG ; Y Z WEI ; G HU ; S H WU ; J Q CHENG
Chinese Journal of Epidemiology 2018;39(10):1309-1313
Objective: Data from the surveillance program was collected, to analyze the situation of hospitalization and cases of death with recorded causes, in Shenzhen, from 1995 to 2014. Situation of hospitalization and causes of deaths were studied in Shenzhen which had been a fast-developing city with growing number of immigrants so as to provide reference for decision-making on related prevention and control strategies. Methods: Data on hospitalizations and deaths collected from the surveillance program, were classified by both International Classification of Diseases (ICD)- 9 and ICD-10. A database was constructed with methods on related descriptive and trend analysis. Results: Around 6.3 million inpatients were seen in the past two decades in Shenzhen. The top five diseases for hospitalization were pregnancy childbirth and puerperium complications, respiratory diseases, injury and poisoning, digestive system diseases and circulatory system diseases, that accounting for 68.4% of all the hospitalization burden. The number of inpatients increased annually, with an 11 times increase during the past two decades. Proportions for pregnancy childbirth and puerperium complications, circulatory system diseases and urinary system diseases all showed increasing (χ(2)=53 806.94, 6 893.95 and 15 383.14, P<0.01), while proportions for injuries and poisoning, respiratory diseases, digestive system diseases showed a declining trend (χ(2)=131 480.09,1 711.84 and 11 367.66, P<0.01). Number of cumulative inpatient deaths exceeded 60 000, with the top five causes as malignant tumor, circulatory system diseases, injury and poisoning, respiratory system diseases and digestive system diseases, that accounting for 82.28% of all the inpatient deaths. Deaths due to circulatory system diseases, injury and poisoning increased and then decreased. Malignant tumor and respiratory diseases-induced deaths showed an increasing trend (χ(2)=1 546.48, 309.55, P<0.01), while induced deaths from disease of the other systems showed slight changes. The overall case fatality rate showed an annual decline (χ(2)=4 378.63, P<0.01), from 2.23% in 1995 to 0.74% in 2014, with mortality attribute to tumor, circulatory system disease decreased significantly. Conclusions: Shenzhen had been under an ageing transition, with relatively young population living in the city. Chronic diseases such as tumor gradually had become the major causes for heavy hospitalization burden on the population of Shenzhen.
Cardiovascular Diseases/epidemiology*
;
Cause of Death
;
China/epidemiology*
;
Female
;
Global Burden of Disease
;
Hospitalization/statistics & numerical data*
;
Humans
;
Neoplasms/epidemiology*
;
Pregnancy
;
Pregnancy Complications/epidemiology*
;
Respiratory Tract Diseases/epidemiology*
7.Impact of menarche age on the near-term and long-term obesity of adult females.
X L WEI ; Y J HUA ; Y LU ; Y H HU ; Z BIAN ; Y GUO ; Z M CHEN ; L M LI
Chinese Journal of Epidemiology 2019;40(2):142-146
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
8.Epidemiological features of hepatitis C and its related influencing factors in Shandong province, 2007-2016.
X GU ; D M KANG ; T T YIN ; X G YANG ; Z J SHAO ; X R TAO ; Y S QIAN ; K LIU ; J HU
Chinese Journal of Epidemiology 2018;39(9):1146-1151
Objective: To analyze the epidemiological characteristics, dynamic trend of development and related influencing factors of hepatitis C in Shandong, China, 2007-2016, also to provide epidemiological evidence for prevention and control of HCV. Methods: National surveillance data of hepatitis C from 2007 to 2016 in Shandong was used, with distribution and clustering map of hepatitis C drawn at the county level. Panel Poisson regression was used to explore the influencing factors of hepatitis C at the city level. Results: The incidence of hepatitis C in Shandong increased from 1.49/100 000 in 2007 to 4.72/100 000 in 2016, with the high incidence mainly clustered in the urban regions in Jinan, Zibo, Weihai et al. and surrounding vicinities. Majority of the cases were young adults, with 53.16% (14 711/27 671) of them being farmers. Results from the Multiple panel Poisson regression analysis indicated that factors as: population density (aIRR=1.07, 95%CI: 1.05-1.10), number of hospital per hundred thousand people shared (aIRR=1.16, 95%CI: 1.08-1.24), expenditure of medical fee in rural (aIRR=1.21, 95%CI: 1.08-1.37) and the proportion of the tertiary industry (aIRR=1.08, 95%CI: 1.07-1.09) were all correlated to the incidence of hepatitis C. Conclusions: The incidence of hepatitis C had been increasing rapidly in recent years, in Shandong. Prevention and control of HCV should focus on high risk population. In addition, rural, especially in areas with lower economics provision should be under more attentions, so as to find more concealed cases for early treatment.
Adult
;
China/epidemiology*
;
Cities
;
Hepacivirus
;
Hepatitis C/prevention & control*
;
Humans
;
Incidence
;
Population Surveillance
;
Young Adult
9.Study on genetic structure differences and adjustment strategies in different areas of China.
M ZHU ; J LYU ; C Q YU ; G F JIN ; Y GUO ; Z BIAN ; W ROBIN ; M IONA ; Z M CHEN ; H B SHEN ; Z B HU ; L M LI
Chinese Journal of Epidemiology 2019;40(1):20-25
Objective: To describe the genetic structure of populations in different areas of China, and explore the effects of different strategies to control the confounding factors of the genetic structure in cohort studies. Methods: By using the genome-wide association study (GWAS) on data of 4 500 samples from 10 areas of the China Kadoorie Biobank (CKB), we performed principal components analysis to extract the first and second principal components of the samples for the component two-dimensional diagram generation, and then compared them with the source of sample area to analyze the characteristics of genetic structure of the samples from different areas of China. Based on the CKB cohort data, a simulation data set with cluster sample characteristics such as genetic structure differences and extensive kinship was generated; and the effects of different analysis strategies including traditional analysis scheme and mixed linear model on the inflation factor (λ) were evaluated. Results: There were significant genetic structure differences in different areas of China. Distribution of the principal components of the population genetic structure was basically consistent with the geographical distribution of the project area. The first principal component corresponds to the latitude of different areas, and the second principal component corresponds to the longitude of different areas. The generated simulation data showed high false positive rate (λ=1.16), even if the principal components of the genetic structure was adjusted or the area specific subgroup analysis was performed, λ could not be effectively controlled (λ>1.05); while, by using a mixed linear model adjusting for the kinship matrix, λ was effectively controlled regardless of whether the genetic structure principal component was further adjusted (λ=0.99). Conclusions: There were large differences in genetic structure among populations in different areas of China. In molecular epidemiology studies, bias caused by population genetic structure needs to be carefully treated. For large cohort data with complex genetic structure and extensive kinship, it is necessary to use a mixed linear model for association analysis.
China
;
Genetic Structures
;
Genome-Wide Association Study
;
Humans
;
Linear Models
;
Principal Component Analysis
10.Seasonal distribution of patient hospitalization due to asthma exacerbation in 7 geographic areas in China.
J T LIN ; B XING ; H P TANG ; L YANG ; Y D YUAN ; Y H GU ; P CHEN ; X J LIU ; J ZHANG ; H G LIU ; C Z WANG ; W ZHOU ; D J SUN ; Y Q CHEN ; Z C CHEN ; M HUANG ; Q C LIN ; C P HU ; X H YANG ; J M HUO ; X W YE ; X ZHOU ; P JIANG ; W ZHANG ; Y J HUANG ; L M DAI ; R Y LIU ; S X CAI ; J Y XU ; J Y ZHOU
Chinese Journal of Epidemiology 2018;39(11):1477-1481
Objective: To understand the seasonal distribution of patient hospitalization due to asthma exacerbation in 7 geographic areas in China. Methods: This was a retrospective study which involved patients hospitalized for asthma exacerbation in 29 hospitals throughout 7 geographic areas in the mainland of China (northeast, north, central, east, south, northwest and southwest). The numbers of asthmatic patients and total inpatients of the respiratory department of each hospital were recorded. The monthly ratio of asthmatic patients to the total inpatients in every area was calculated and compared. Results: During the study period, 6 480 patients were admitted for asthma exacerbation, accounting for 3.14% of all the 206 135 patients admitted to the respiratory departments in the 29 hospitals. The ratio of asthmatic patients to total inpatients in the northeast area (5.61%) was highest, and the ratio in east area was lowest (1.97%). Statistical analysis showed that the difference among different areas was significant (P<0.000 1). In most areas, both the number and proportion of hospitalized asthmatic patients peaked in spring (February-April) and autumn (September-October). In the northeast area, east area and south area, the peaks in spring were more obvious, while in the north area and southwest area, the peaks in autumn were more obvious. In the northwest area the peaks occurred in winter (December-January) and summer (June-August), respectively. The differences in hospitalization due to asthma among different months were significant in the northeast, north, and southwest areas (P<0.005). Conclusion: The number of patients hospitalized for asthma exacerbation fluctuated with season in different areas in China. In most areas, more asthmatic patients were admitted to hospitals in spring and autumn.
Asthma
;
China/epidemiology*
;
Hospitalization/statistics & numerical data*
;
Humans
;
Retrospective Studies
;
Seasons