1.Expression and correlation of E-cadherin and CD44V6 in oral squamous cell carcinoma
Jian LIU ; Jianhong PU ; Zili GE
Journal of Practical Stomatology 2001;0(01):-
Objective:To study the expressions of E-cadherin(E-cad) an d CD44V6 in normal oral mucous,oral atypical hyperplasia and oral squamous cell carcinoma(OSCC).Methods:The expression of E-cad and CD44V6 in 1 7 cases of normal oral mucous,6 of oral atypical hyperplasia and 52 of OSCC was examined with immunohistochemistry. Results: E-cad expression was observed in all the cases of normal oral mucous and oral atypical hyperplasi a,and in 43/52( 82.69% ) of OSCC. CD44V6 expression was observed in all the ca ses of normal oral mucous and oral atypical hyperplasia,and in 32/52(61.54%) of OSCC.In OSCC, the expression of E-cad was decreased with the decrease of differ entiation degree(P
2.Application analysis of quantitative fecal immunochemical test in opportunistic screening of colorectal cancer
Daiyi ZHANG ; Yan XU ; Zhengyan WU ; Xiang ZHENG ; Jianshu YANG ; Jianhong PU ; Su YAN
Chinese Journal of Digestion 2022;42(10):701-707
Objective:To analyze and evaluate the application of quantitative fecal immunochemical test(FIT) in opportunistic screening of colorectal cancer in asymptomatic population undergoing health checkups.Methods:From January 1, 2018 to December 31, 2021, at the Health Management Center of the First Affiliated Hospital of Soochow University, 53 319 subjects who underwent routine health checkups and with quantitative FIT opportunistic screening for colorectal cancer were selected. Those with positive quantitative FIT results and received colonoscopy were enrolled in the FIT positive group, and those with negative quantitative FIT results and received colonoscopy were enrolled in the FIT negative group. The participation rate and positive rate of quantitative FIT were analyzed. The results of colonoscopy and pathological findings were taken as the gold standard, including normal, non-polyposis lesions, polyposis (hyperplastic and(or) inflammatory polyps, non-advanced adenoma, advanced adenoma), and colorectal cancer, the detection rates of various lesions of the FIT positive and negative groups, the quantitative FIT measurement value of subjects, and the sensitivity and negative predictive value of quantitative FIT for colorectal cancer and advanced adenoma were analyzed. The receiver operating characteristic curve (ROC) was drawn and the area under the curve (AUC) was calculated, the screening efficacy of quantitative FIT for colorectal cancer and advanced adenoma was evaluated. Chi-square test or Fisher exact probability method and Wilcoxon rank sum test were used for statistical analysis.Results:A total of 51 420 cases had completed quantitative FIT, and the total participation rate was 96.44% (51 420/53 319). Quantitative FIT was positive in 2 483 cases (4.83%). The participation rate of colonoscopy in FIT positive group was 26.22% (651/2 483), of which 540 cases were enrolled in FIT positive group. The colonoscopy participation rate of FIT negative group was 1.18% (576/48 937), of which 523 cases were enrolled in the FIT negative group. The detection rates of colorectal cancer and advanced adenoma in FIT positive group were both higher than those of the FIT negative group(3.9%, 21/540 vs. 0, 0/523; 16.1%, 87/540 vs. 3.3%, 17/523), and the differences were statistically significant(Fisher exact probability method and χ2=49.79; both P<0.001). Populations with quantitative FIT values from high to low were those with colorectal cancers, advanced adenomas, non-polyp lesions, non-advanced adenomas, normal, and hyperplastic and (or) inflammatory polyps (1 052.0 ng/mL(390.5 ng/mL, 3 058.0 ng/mL); 294.5 ng/mL (116.8 ng/mL, 951.8 ng/mL); 131.5 ng/mL (10.5 ng/mL, 327.3 ng/mL); 97.0 ng/mL (11.0 ng/mL, 238.0 ng/mL); 20.0 ng/mL (0.0 ng/mL, 175.3 ng/mL); 14.0 ng/mL (0.0 ng/mL, 171.0 ng/mL)), and the difference was statistically significant( H=120.53, P<0.001). The sensitivities(95% confidence interval (95% CI)) of quantitative FIT in colorectal cancer and advanced adenoma were 100.0%(80.8% to 100.0%) and 83.6%(74.8% to 89.9%), respectively. The negative predictive values (95% CI) were 100.0%(99.1% to 100.0%) and 96.7%(94.7% to 98.0%), respectively. The results of ROC analysis showed that the AUCs(95% CI) of quantitative FIT in colorectal cancer and advanced adenoma were 0.874(0.820 to 0.928) and 0.723(0.675 to 0.770), respectively. Conclusions:In this study, the participation rate of quantitative FIT is high. More patients with advanced adenomas and colorectal cancers are found in the high risk popolation with positive quantitative FIT. Quantitative FIT has a good sensitivity and a negative predictive value for colorectal cancer and advanced adenoma. Therefore, positive quantitative FIT-colonoscopies sequential screening should be advocated in population undergoing health checkups for colorectal cancer screening, and it may be applicable to large-scale population screening in China.
3.Clinical characteristics of children with severe SARS-CoV-2 infection in Yunnan
Yin LI ; Xiaozhong HU ; Congyun LIU ; Xingping TAO ; Rui WANG ; Rui LU ; Yang LI ; Yan PU ; Canrong MU ; Jianhong XU ; Hongmin FU
Chinese Journal of Pediatrics 2024;62(5):451-456
Objective:To investigate the clinical characteristics of 130 children with severe SARS-CoV-2 infection in Yunnan province after the relaxation of non-pharmaceutical interventions, and analyze the risk factors for mortality.Methods:This study is a retrospective case summary that analyzed the demographic data, underlying diseases, clinical diagnoses, disease outcomes, and laboratory results of 130 children with severe COVID-19 infections admitted to nine top-tier hospitals in Yunnan Province from December 2022 to March 2023. According to the prognosis, the patients were divided into survival group and death group. The clinical and laboratory data between the two groups were compared, and the risk factors of death were evaluated. The χ2 test and Mann-Whitney U test were employed to compare between groups, while Spearman correlation test and multiple Logistic regression were used to analyze the risk factors for death. The predictive value of independent risk factors was evaluated by receiver operating characteristic curve. Results:The 130 severe patients included 80 males and 50 females with an onset age of 28.0 (4.5, 79.5) months. There were 97 cases in the survival group and 33 cases in the death group with no significant differences in gender and age between the two groups ( P>0.05). Twenty-five cases (19.2%) out of the 130 patients had underlying diseases, and the number with underlying diseases was significantly higher in death group than in survival group (36.4% (12/33) vs. 13.4%(13/97), χ2=8.36, P=0.004). The vaccination rate in the survival group was significantly higher than that in the death group (86.1% (31/36) vs. 7/17, χ2=9.38, P=0.002). A total of 42 cases (32.3%) of the 130 patients were detected to be infected with other pathogens, but there was no significant difference in the incidence of co-infection between the death group and the survival group (39.3%(13/33) vs. 29.9% (29/97), χ2=1.02, P>0.05). Among the 130 cases, severe respiratory cases were the most common 66 cases (50.8%), followed by neurological severe illnesses 34 cases (26.2%) and circulatory severe 13 cases (10%). Compared to the survival group, patients in the death group had a significantly higher levels of neutrophil, ferritin, procalcitonin, alanine aminotransferase, lactate dehydrogenase, creatine kinase isoenzyme, B-type natriuretic peptide, interleukin-6 and 10 (6.7 (4.0, 14.0) vs. 3.0 (1.6, 7.0)×10 9/L, 479 (298, 594) vs. 268 (124, 424) μg/L, 4.8 (1.7, 10.6) vs. 2.0 (1.1, 3.1) μg/L, 66 (20, 258) vs. 23 (15, 49) U/L, 464 (311, 815) vs. 304 (252, 388) g/L, 71(52, 110) vs. 24(15, 48) U/L, 484 (160, 804) vs. 154 (26, 440) ng/L, 43 (23, 102) vs. 19 (13, 27) ng/L, 216 (114, 318) vs. 86 (45, 128) ng/L, Z=-4.21, -3.67, -3.76, -3.31, -3.75, -5.74, -3.55, -4.65, -5.86, all P<0.05). The correlated indexes were performed by multivariate Logistic regression and the results showed that vaccination was a protective factor from death in severe cases ( OR=0.01, 95% CI 0-0.97, P=0.049) while pediatric sequential organ failure assessment (PSOFA) ( OR=3.31, 95% CI 1.47-7.47, P=0.004), neutrophil-to-lymphocyte ratio (NLR) ( OR=1.56, 95% CI 1.05-2.32, P=0.029) and D dimer ( OR=1.49, 95% CI 1.00-1.02, P=0.033) were independent risk factors for death (all P<0.05). The area under the curve of the three independent risk factors for predicting death were 0.86 (95% CI 0.79-0.94), 0.89 (95% CI 0.84-0.95) and 0.87 (95% CI 0.80-0.94), all P<0.001, and the cut-off values were 4.50, 3.66 and 4.69 mg/L, respectively. Conclusions:Severe SARS-CoV-2 infection can occur in children of all ages, primarily affecting the respiratory system, but can also infect the nervous system, circulatory system or other systems. Children who died had more severe inflammation, tissue damage and coagulation disorders. The elevations of PSOFA, NLR and D dimer were independent risk factors for death in severe children.
4.cFos-ANAB: A cFos-based Web Tool for Exploring Activated Neurons and Associated Behaviors.
Fan WANG ; Wenjie SUN ; Lei CHANG ; Kefang SUN ; Leying HOU ; Linna QIAN ; Chaoyin JIN ; Jiandong CHEN ; Jiali PU ; Panmeng YE ; Shuang QIU ; Jianhong LUO ; Shumin DUAN ; Baorong ZHANG ; Zhihua GAO ; Xiaojun HU
Neuroscience Bulletin 2021;37(10):1441-1453
cFos is one of the most widely-studied genes in the field of neuroscience. Currently, there is no systematic database focusing on cFos in neuroscience. We developed a curated database-cFos-ANAB-a cFos-based web tool for exploring activated neurons and associated behaviors in rats and mice, comprising 398 brain nuclei and sub-nuclei, and five associated behaviors: pain, fear, feeding, aggression, and sexual behavior. Direct relationships among behaviors and nuclei (even cell types) under specific stimulating conditions were constructed based on cFos expression profiles extracted from original publications. Moreover, overlapping nuclei and sub-nuclei with potentially complex functions among different associated behaviors were emphasized, leading to results serving as important clues to the development of valid hypotheses for exploring as yet unknown circuits. Using the analysis function of cFos-ANAB, multi-layered pictures of networks and their relationships can quickly be explored depending on users' purposes. These features provide a useful tool and good reference for early exploration in neuroscience. The cFos-ANAB database is available at www.cfos-db.net .
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Proto-Oncogene Proteins c-fos
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5. cFos-ANAB: A cFos-based Web Tool for Exploring Activated Neurons and Associated Behaviors
Fan WANG ; Shuang QIU ; Jianhong LUO ; Shumin DUAN ; Zhihua GAO ; Wenjie SUN ; Lei CHANG ; Kefang SUN ; Leying HOU ; Linna QIAN ; Chaoyin JIN ; Jiandong CHEN ; Xiaojun HU ; Jiali PU ; Baorong ZHANG ; Xiaojun HU ; Panmeng YE
Neuroscience Bulletin 2021;37(10):1441-1453
cFos is one of the most widely-studied genes in the field of neuroscience. Currently, there is no systematic database focusing on cFos in neuroscience. We developed a curated database—cFos-ANAB—a cFos-based web tool for exploring activated neurons and associated behaviors in rats and mice, comprising 398 brain nuclei and sub-nuclei, and five associated behaviors: pain, fear, feeding, aggression, and sexual behavior. Direct relationships among behaviors and nuclei (even cell types) under specific stimulating conditions were constructed based on cFos expression profiles extracted from original publications. Moreover, overlapping nuclei and sub-nuclei with potentially complex functions among different associated behaviors were emphasized, leading to results serving as important clues to the development of valid hypotheses for exploring as yet unknown circuits. Using the analysis function of cFos-ANAB, multi-layered pictures of networks and their relationships can quickly be explored depending on users’ purposes. These features provide a useful tool and good reference for early exploration in neuroscience. The cFos-ANAB database is available at www.cfos-db.net.