1.Eccrine spiradenocarcinoma: a case report
Lixiong GU ; Xiaoyan WU ; Shuanglin CAO ; Haijuan JIANG ; Hao CHEN ; Congcong SHEN ; Xiaodong CHEN
Chinese Journal of Dermatology 2011;44(2):77-79
A 70-year-old female patient presented with several cutaneous masses on the left neck and trunk for 40 years. Some masses were removed by surgical operation more than 10 years prior to the presentation, but recurred subsequently along with an increase in lesion number. Persistent dull pain emerged at the lesion sites 2 months prior to the presentation and the masses on the left neck ulcerated 10 days prior to the presentation. Histopathology showed tumor cell clumps in the dermis with benign eccrine spiradenoma components in the centre region and carcinomatous components in the periphery. The carcinomatous components included slightly atypical cells and hyaline degeneration. Immunohistochemically, carcinoembryonic antigen and epithelial membrane antigen were observed in the tumor tissues. The case was diagnosed as eccrine spiradenocarcinoma. The masses were surgically removed, but recurred 1 month later, increased in size and number and ulcerated 3 months later, and the patient died 6 months after the surgery.
2.Effect of estrogen-related receptor α-mediated lipophagy on proliferation and migration abilities of nasopharyngeal cancer cells
Xiuzhi KONG ; Ying SHAN ; Yiwen YOU ; Miao GU ; Haijuan XIAO ; Mengdie YOU ; Bo YOU
Cancer Research and Clinic 2024;36(2):105-111
Objective:To investigate the effect of estrogen-related receptor α (ESRRA)-mediated lipophagy on the proliferation and migration abilities of nasopharyngeal carcinoma cells.Methods:A total of 16 clinical samples diagnosed by pathology in the Affiliated Hospital of Nantong University from 2021 to 2023 were selected, including 8 normal nasopharyngeal mucosa tissues and 8 nasopharyngeal carcinoma tissues. Immortalized normal nasopharyngeal epithelial cell line NP69 and nasopharyngeal carcinoma cell lines C666-1, CNE2, TW03-EBV and TW03 were selected. The cell lines C666-1 and CNE2 were divided into the siR-NC group (transfected with small interfering RNA negative control sequence) and siR-ESRRA group (transfected with small interfering RNA against ESRRA gene). The relative expression levels of ESRRA were detected by Western blotting and immunohistochemical assay. EdU assay was used to detect the proliferation ability of C666-1 and CNE2 cells, and Transwell assay was used to detect the migration ability. Real-time fluorescence quantitative polymerase chain reaction (qRT-PCR) was used to detect the relative expression levels of ESRRA and perilipin 3 (PLIN3) mRNA. The formation of lipophagy in C666-1 and CNE2 cells was observed by transmission electron microscopy. The co-localization of LC3, PLIN3 and LAMP2 with lipid droplets labeling with Bodipy was detected by immunofluorescence assay. Dual-luciferase reporter gene assay was used to verify the targeting relationship between ESRRA and PLIN3.Results:The relative expression level of ESRRA in nasopharyngeal carcinoma tissues was higher than that in normal nasopharyngeal mucosa tissues(1.15±0.75 vs. 0.32±0.21, t = 3.02, P = 0.009). The relative expression level of ESRRA in nasopharyngeal carcinoma cell lines C666-1 (1.539±0.044), CNE2 (1.420±0.030), TW03-EBV (2.867±0.044), and TW03 (1.323±0.022) were higher than that in normal nasopharyngeal epithelial cell line NP69 (0.094±0.002), and the difference was statistically significant ( F = 34.08, P < 0.001).The results of EdU assay showed that the proportions of EdU labeled positive cells in CNE2 cells of siR-NC group and siR-ESRRA group were (70.44±4.06)% and (51.51±0.92)% ( t = 7.88, P = 0.001), and the proportions in C666-1 cells were (62.25±3.89)% and (54.91±0.27)% ( t = 3.26, P = 0.031). The results of Transwell assay showed that the number of migrating cells in CNE2 and C666-1 cells was less than that in siR-NC group [CNE2 cells: (181±7) cells vs. (261±21) cells; C666-1 cells: (201±16) cells vs. (256±7) cells], and the differences were statistically significant ( t = 6.30, P = 0.003; t = 5.43, P = 0.006). According to qRT-PCR results, the relative expression level of PLIN3 mRNA in the siR-ESRRA group was higher than that in the siR-NC group (CNE2 cells: 1.58±0.16 vs. 0.83±0.17, t = 5.59, P = 0.005; C666-1 cells: 1.37±0.12 vs. 1.06±0.06, t = 3.86, P = 0.018). The dual-luciferase reporter gene assay results indicated a targeted binding interaction between PLIN3 and ESRRA. Transmission electron microscopy observation showed that the lipid droplets in nasopharyngeal carcinoma cells increased and the binding to autophagosomes decreased after knockdown of ESRRA. The results of immunofluorescence assay demonstrated that, in contrast to the siR-NC group, there was a decrease in the co-localization of LC3 and LAMP2 and an increase in the co-localization of lipid droplets with PLIN3. Conclusions:ESRRA is highly expressed in nasopharyngeal carcinoma tissues and cells. As a transcription repressor, ESRRA may work to prevent PLIN3 from being transcribed, decrease lipid droplet stability, mediate lipophagy, and promote proliferation and migration of nasopharyngeal carcinoma cells.
3.Construction of a closed-loop management model of drugs in operating room based on intelligent Internet of Things system
Hua QIAN ; Meixin NI ; Hanzhong CAO ; Haijuan GU ; Xianxian XIA
China Pharmacy 2024;35(14):1696-1700
OBJECTIVE To provide reference for improving the level of hospital pharmaceutical management for operating room drugs. METHODS The operating room pharmacy of our hospital utilized the concept and means of the Internet of Things (IoT) to build an intelligent IoT system for operating room drugs (hereinafter referred to as the “IoT system”), and optimized and improved it. The quality of drug management in the operating room of our hospital during the initial phase of the IoT system (Q1 2022) and after optimization and improvement (Q1 2023) were compared by setting indicators from four aspects: quality, efficiency, cost, and satisfaction. RESULTS After more than a year of optimization and improvement, our hospital has built a traceable IoT system for the entire drug process that integrated surgical anesthesia systems and hospital information systems, with the direction of drug circulation in the operating room as the axis, using intelligent drug vehicles as the hardware foundation, and anesthesia doctor’s order information system as the software medium. After the optimization and improvement of the IoT system, the standardized score of anesthesia orders in the operating room increased from (68.5±3.5) points in the initial period to (97.0± 2.7) points; the consistency rate between accounts and materials increased from (82.40±8.85)% to (96.50±4.80)%; the time of taking medicine was shortened from (40±8) min to (12±3) min; the frequency of drug withdrawal was reduced from (36.0± 6.5) times/day to (15.5±3.0) times/day; the cost of loss drugs was decreased from (1 292.61±305.90) yuan to (594.24±195.05) yuan; the satisfaction was increased from (80.5±6.5) points to (96.0±3.0) points. All indicators were significantly improved with statistically significant differences (P<0.05). CONCLUSIONS The intelligent IoT system constructed by our hospital effectively ensures the accessibility, timeliness, and safety of intraoperative medication, which is conducive to improving the quality of drug management in the operating room.
4.Longitudinal extrauterine growth restriction in extremely preterm infants: current status and prediction model
Xiaofang HUANG ; Qi FENG ; Shuaijun LI ; Xiuying TIAN ; Yong JI ; Ying ZHOU ; Bo TIAN ; Yuemei LI ; Wei GUO ; Shufen ZHAI ; Haiying HE ; Xia LIU ; Rongxiu ZHENG ; Shasha FAN ; Li MA ; Hongyun WANG ; Xiaoying WANG ; Shanyamei HUANG ; Jinyu LI ; Hua XIE ; Xiaoxiang LI ; Pingping ZHANG ; Hua MEI ; Yanju HU ; Ming YANG ; Lu CHEN ; Yajing LI ; Xiaohong GU ; Shengshun QUE ; Xiaoxian YAN ; Haijuan WANG ; Lixia SUN ; Liang ZHANG ; Jiuye GUO
Chinese Journal of Neonatology 2024;39(3):136-144
Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.