1.Knowledge of schistosomiasis and related behaviors of immigrations in South-North Water-Diversion Middle-line Project areas in Hubei Province
Hongdie JIANG ; Li TAN ; Jiangman GAO ; Wen QU ; Jian NI ; Qinping ZHAO
Chinese Journal of Schistosomiasis Control 2010;22(2):176-178
Objective To understand the immigrants' recognition of schistosomiasis and their relevant behaviors in the South-North Water-Diversion Middle-line Project areas in Hubei Province.Methods The investigation objects were selected by the method of stratified sampling among immigrants in the project areas and were surveyed through oral interview and questionnaire.Results A total of 1 010 immigrants were investigated and 1 005 questionnaires were indentified as effective ones.The awareness rates of schistosomiasis and the correct rates of related behaviors among the immigrants were still not satisfying.Conclusions The immigrants' recognition of schistosomiasis and their relevant behaviors in South-North Water-Diversion Middle-line Project areas in Hubei Province still need to be improved through health education and other measures.
2.Gut microbiota aids in differentiating proximal colorectal cancer in the combination of tumor markers
Tianchen HUANG ; Xiaodong HAN ; Yong ZHANG ; Kan LI ; Zhipeng GUO ; Lei LI ; Yachao WU ; Yanjun WANG ; Dongxiao BAI ; Jianan XIAO ; Jiangman ZHAO ; Fuyou ZHOU ; Weili LI
Chinese Journal of Laboratory Medicine 2024;47(4):444-450
Objective:To explore the differences in bacterial community structure between proximal colon cancer (PC), distal colon cancer (DC), and rectal cancer (RC), and the values of featured microbiota in differentiating PC with tumor markers.Methods:This case-control study enrolled 85 newly diagnosed colorectal cancer patients, including 22 PC, 15 DC and 48 RC patients, and 8 colorectal adenoma patients from May 2019 to July 2022 at the Department of General Surgery, Anyang Oncology Hospital. The blood and fecal samples were collected before surgery and then subjected to biochemical tests for tumor markers and 16S rDNA tests, respectively. SPSS (27.0.1) was applied to perform the t-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis H test, and Chi-Squared Test. Also, the receiver operating characteristic curve (ROC) was plotted on tumor markers and/or f_Bacteroidaceae with SPSS software .Results:All groups had significant differences in the CA125 ( F=3.543, P<0.05), CA72-4 ( F=3.596, P<0.05), and serum tumor-associated materials (TAM) levels ( F=5.787, P<0.01). In PC group, the levels of CA125 [PC vs RC, (36.84±6.30) kU/L vs (12.73±4.21) kU/L, P<0.01] and CA72-4 [PC vs RC, (45.56±10.86) kU/L vs (3.30±7.63) kU/L, P<0.01] were significantly higher than that of the RC group, while the level of TAM was remarkably elevated in PC group than in RC group [PC vs RC, (124.84±5.19) U/ml vs (102.44±3.63) U/ml, P<0.001] and CRA group [PC vs CRA, (124.84±5.19) U/ml vs (95.39±8.42) U/ml, P<0.01]. The LEfSe analysis showed that the featured microbiota in the PC group included f_Bacteroidaceae, f_Neisseriaceae, f_Clostridiaceae_1, f_Spirochaetaceae, and so on. The largest area under the ROC belonged to the combination of TAM and f_Bacteroidaceae, which reached 0.845 (95% CI 0.747-0.944), with sensitivity being 0.857 and specificity being 0.815. Conclusions:There is heterogeneity in gut microbiota composition among PC, DC, RC, and CRA. The combination of gut microbiota and tumor biomarkers demonstrated good differentiating effects in proximal colon cancers.
3. Retrospectively analysis of characteristics and risk factors of immune treatment-related hepatic adverse events in malignant tumor
Shuluan LI ; Xiaoping GAO ; Qianqi CHEN ; Xiaohong FU ; Yan ZHAO ; Jiangman DUAN ; Yueqiang TANG ; Jie SUN ; Junling LI ; Qiming ZHOU
Chinese Journal of Oncology 2020;42(1):50-54
Objective:
To explore the clinical features and risk factors of hepatic injury due to immune checkpoint inhibitors (CPI) therapy in malignant tumor.
Methods:
Data of 112 patients (64 men and 48 women) who received CPI between January 2016 and March 2019 in Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen Hospital, and Huazhong University of Science and Techology Union Shenzhen Hospital were retrospectively collected. The median age of these patients was 60 years.
Results:
Hepatic adverse events were observed in 30 patients out of 112 patients (26.8%). Among them, the incidence of grade 3-5 hepatic adverse events were 7.14% (8/112). The median time of hepatic adverse event occurrence was 3 weeks (2-30) after undergoing therapy. The results of univariate and multivariate analyses showed that liver cancer was attributed to the CPI induced hepatitis (