1.Clinical analysis of 18 cases of breast primitive neuroectodermal tumor
Bin FANG ; Wentao LI ; Baoping ZHAI ; Jiquan LIU ; Haijun CHEN ; Gaoxiu LIU ; Cao WANG ; Hezhen LU ; Xuefang MI ; Danting WU
Chinese Journal of Endocrine Surgery 2019;13(2):113-118
Objective To investigate the clinical pathological characteristics and prognosis of primitive neuroectodermal tumor (PNET) of breast.Methods Patients with breast PNET were retrieved from CNKI,Pubmed,Europe PMC and other databases from Jan.1980 to Dec.2016.The clinical data of one patient with breast PNET in our hospital were analyzed retrospectively.Results 18 cases had painless,rapid growth mass as the main clinical features.The pathological morphology showed small round cell tumors,PAS staining positive.Immunohistochemistry CD99 and Fli-1 characteristic expression were the main indexes for the diagnosis of breast PNET.The positive expression of Vimentin,NSE,Syn and negative expression of CK,EMA,Desmin,CgA,LCA,S-100 also played an important role in the diagnosis of breast PNET.The positive expression of genetic marker EWSRI was the golden standard for diagnosis of breast PNET.The size of the tumor,surgical treatment,lymph node metastasis,distant metastasis and chemotherapy were the important factors that affect the prognosis of the PNET.The survival rates of 1 and 3 years were 71.4% and 33.3% respectively.Conclusions Breast PNET is a rare tumor with poor prognosis,and its diagnosis is highly dependent on pathology.Surgery can significantly improve the prognosis of the patients.Surgery should be the main treatment,combined with radiotherapy and chemotherapy.The current study does not show evidence of effectiveness in terms of endocrine or targeted drug therapy for breast PNET patients.
2.MLVA genotyping characteristics of 13 strains of Brucella isolated from non-brucellosis epidemic area Lianyungang City of Jiangsu Province
Danting JIN ; Chunlei ZUO ; Xinzhe WU ; Hongshu LIU ; Yong ZHAO ; Zhongming TAN ; Haifeng MAO
Chinese Journal of Endemiology 2020;39(8):547-550
Objective:To study the genotyping characteristics of Brucella strains isolated from Lianyungang City (non-brucellosis epidemic area) of Jiangsu Province. Methods:Preliminary identification of 13 suspected strains of Brucella isolated from blood culture in Clinical Microbiology Laboratory of the First People's Hospital of Lianyungang City in 2018 was conducted; at the same time, the specific gene bcsp31 and insertion sequence IS-711 of Brucella were detected by quantitative real-time PCR (Real-time PCR), and the identification results were rechecked and typed. Multiple locus variable-number tandem repeat analysis (MLVA) was applied for genotyping, and the sequencing results were edited by Mega 4.0 software. Results:All the 13 strains were identified as Brucella by preliminary identification. Real-time PCR confirmed that all the 13 strains were Brucella melitensis. The results of MLVA showed that 13 strains of Brucella melitensis were divided into 12 genotypes and clustered in the "middle Mediterranean cluster". Among 13 strains of Brucella melitensis, 3 strains were biovar 1, 2 strains were biovar 2 and 8 strains were biovar 3. Conclusion:All the Brucella strains isolated from Lianyungang City are Brucella melitensis and the MLVA cluster is in the "middle Mediterranean cluster".
3.Infections in newly diagnosed systemic lupus erythematosus patients with high disease activity: a retrospective cohort study
Yuhong ZHOU ; Haiting WANG ; Liqin YU ; Wanlong WU ; Shikai GENG ; Fangfang SUN ; Danting ZHANG ; Yi CHEN ; Shuang YE
Chinese Journal of Rheumatology 2021;25(10):654-658
Objective:To determine the characteristics of hospitalized newly diagnosed systemic lupus erythematosus (SLE) patients with high disease activity, and identify the risk factors.Methods:Data from 194 newly diagnosed SLE patients at Shanghai Renji Hospital between May 2013 and December 2018 were collected retrospectively. All patients were followed up for 1 year or until death. Patients' demographic, clinical, and laboratory characteristics on admission and medication history were retrospectively collected as baseline data. Patients were divided into two groups, lupus patients with infection (51 cases) and lupus patients without infection (143 cases). The method of univariate analysis of data depended on the data distribution type. Variables that suggested association in the univariate analysis ( P<0.05) were entered into Cox regression model. Results:Among 194 patients with newly diagnosed SLE, 21 cases (11%) died and 51 cases (26%) were infected during 1-year follow-up. Regarding the infection site, 34 cases (67%) had lung infection, 9 cases (18%) had central nervous system infection and 9 cases (18%) had blood stream infection. Common bacteria were identified in 19 cases (45%), followed by fungal infection in 18 cases (43%) and mycobacterium infection in 7 cases (17%). Among the 51 patients with infection, 38 patients (75%) had infection within the first 3 months after diagnosis, and mortality in this group was significantly higher than that in the uninfected group (39%, 15/38 vs 2%, 3/143 , P<0.01). Comparing baseline parameters between patients with 3-month infection and without, significant differences ( P<0.05) were detected in age (≥40 years), systemic lupus erythematosus disease activity index (SLEDAI) score (>10 points), Systemic Lupus International Collaborating Clinic (SLICC)/American College of Rheumatology(ACR) systemic lupus erythematosus damage index (SDI) (≥1 point), pericardial effusion, nephritis, gastrointestinal vasculitis, diabetes, lymphocyte count <0.8×10 9/L platelet count <100×10 9/L, serum creatinine >104 mmol/L and serum globulin level <20 g/L. Finally, clinically meaningful candidate predictors were included in the Cox regression model and it showed that lymphocyte count <0.8×10 9/L, nephritis and gastrointestinal vasculitis were independently predictive for 3-month infection in new-onset lupus patients. Conclusion:Understanding disease spectrums and risk factors of infection in newly diagnosed SLE patients will help clinicians to manage those patients with infection effectively to achieve favorable prognosis.
4.Expert Consensus on the Application of Traditional Chinese Medicine in the Treatment of Cervical Cancer Related Complications
Jiamin LIU ; Siyu WU ; Liner CAI ; Hong TANG ; Danting WEN ; Xiujun ZHU ; Xiangdan HU ; Ping XIE ; Jing XIAO
World Science and Technology-Modernization of Traditional Chinese Medicine 2024;26(7):1688-1697
Cervical cancer is the leading cause of cancer death in women in the developing countries.The treatment based on surgery,radiotherapy and chemotherapy is often accompanied by intolerable complications.Clinical practice has proved that TCM therapy has a positive effect on the complications related to the treatment of cervical cancer,but there is still a lack of scientific and standardized application reference opinions.Based on Delphi method,our research group constructed and formulated an expert consensus study on the complications related to the treatment of cervical cancer with TCM therapies,so as to provide a reference for clinical treatment of such diseases.
5.Identification and homology analysis of Brucella in familial clustered infections
Danting JIN ; Jin YANG ; Zhongming TAN ; Xinzhe WU ; Chunlei ZUO ; Xiuzhen ZOU ; Haifeng MAO
Chinese Journal of Endemiology 2024;43(5):350-354
Objective:To identify species type and analyze the homology of Brucella in a family cluster infection. Methods:Two patients with brucellosis from the same family who were treated at the First People's Hospital of Lianyungang City, Jiangsu Province in May 2022 were selected as the research subjects. Brucella strains (H4LYG01 and H2LYG02) were isolated through blood culture. The isolated strains were identified for species type and homology analysis using a fully automated microbial mass spectrometry detection system. Molecular typing of the isolated strains was performed using multiple locus variable-number tandem-repeat analysis (MLVA) and multilocus sequence typing (MLST). Results:H4LYG01 and H2LYG02 were both Brucella Maltese, and the credibility scores were 9.745 and 9.627, respectively, and the homology was 100%. The MLVA results showed that the gene loci of H4LYG01 and H2LYG02 were completely identical, with the same genotype. The MLST results showed that the sequence type (ST) of H4LYG01 and H2LYG02 were both ST8 types. Conclusion:The two isolated strains of Brucella from a family with clustered infections are both Brucella Maltese and from the same source.
6.Best evidence summary for difficult peripheral intravenous catheterization in children
Ruming YE ; Xianghui HUANG ; Jianshan ZHENG ; Wenchao WANG ; Guanhong WU ; Ling LIU ; Yi ZHANG ; Danting LI ; Xiuyu YE
Chinese Journal of Modern Nursing 2024;30(6):790-795
Objective:To search, evaluate, and summarize the best evidence for difficult peripheral intravenous catheterization in children.Methods:Following the "6S" evidence pyramid model, literature related to the management of difficult peripheral veins in children was searched in both English and Chinese databases including UpToDate, BMJ Best Practice, National Guidelines Clearinghouse, the Joanna Briggs Institute Evidence-Based Health Care Database, PubMed, Medlive, SinoMed, CNKI, and Wanfang Database. The search period was from the establishment of the database to January 2023. Two researchers trained in systematic evidence-based nursing, independently evaluated the quality of included literature and extracted relevant evidence.Results:Five articles were included: two guidelines, two expert consensuses, and one systematic review. 19 best evidence were summarized, covering five aspects: difficult vein quality management, difficult vein assessment, difficult intravenous catheterization site and needle type selection, difficult intravenous catheterization auxiliary methods, and handling of failed difficult intravenous catheterization.Conclusions:This study summarizes the best evidence for difficult peripheral intravenous catheterization in children, demonstrating clinical nursing practicality. It provides evidence-based guidance for pediatric nursing staff performing difficult intravenous catheterization.
7.PD0325901, an ERK inhibitor, enhances the efficacy of PD-1 inhibitor in non-small cell lung carcinoma.
Min LUO ; Yuhui XIA ; Fang WANG ; Hong ZHANG ; Danting SU ; Chaoyue SU ; Chuan YANG ; Shaocong WU ; Sainan AN ; Suxia LIN ; Liwu FU
Acta Pharmaceutica Sinica B 2021;11(10):3120-3133
ERK pathway regulated the programmed death ligand-1 (PD-L1) expression which was linked to the response of programmed death-1 (PD-1)/PD-L1 blockade therapy. So it is deducible that ERK inhibitor could enhance the efficacy of PD-1 inhibitor in cancer immunotherapy. In this study, PD0325901, an oral potent ERK inhibitor, strongly enhanced the efficacy of PD-1 antibody
8.Construction of prognostic risk model of autophagy related genes in lung adenocarcinoma based on TGGA database
Xueqin Wang ; Yafeng Liu ; Jing Wu ; Jiawei Zhou ; Yingru Xing ; Xin Zhang ; Danting Li ; Jun Xie ; Xuansheng Ding ; Dong Hu
Acta Universitatis Medicinalis Anhui 2022;57(4):528-533
Objective:
A prognostic risk model for lung adenocarcinoma patients was established based on the cancer genome atlas(TCGA) database to explore the prognostic performance of autophagy related gene risk model for lung adenocarcinoma patients and its correlation with immune microenvironment.
Methods:
Clinical information and transcriptome data of lung adenocarcinoma patients were downloaded and extracted from TCGA database,and 232 autophagy-related genes were screened from the human autophagy database.cox regression analysis was used to screen out four autophagy genes independently associated with prognosis.The prognostic prediction model of lung adenocarcinoma was constructed by risk score ,and the performance of prediction model was evaluated by ROC curve.The relationship between risk scores and tumor immune microenvironment was explored using ESTIMATE ( estimation of stromal and immune cells in malignant tumour tissues using expression data) and CIBERSORT algo- rithms.
Results:
Thirty differentially expressed autophagy-related genes were identified in lung adenocarcinoma, of which four autophagy genes (BIRC5,ERO1A,ITGB4,NLRC4 ) could predict the prognosis of the patients. Grouped by risk score,the Kaplan-Meier analysis demonstrated that the survival rate of high-risk group was signifi- cantly lower than that of low-risk group(P<0. 000 1) .The ROC curve proved the accuracy of the model in predic- ting the prognosis of lung adenocarcinoma ( AUC = 0. 757 ) .The ESTIMATE and CIBERSORT analyses revealed that the risk scoring model was associated with multiple immune cells and immune infiltrates in the tumor microenvi- ronment.
Conclusion
Compared with clinical data,the autophagy gene prognostic risk model can better predict the prognosis of patients with lung adenocarcinoma.In the high-risk group,CD4 + memory quiescent cells can im- prove prognosis in lung adenocarcinoma patients.