1.MRI characters of 52 cases of septate uterus
Shijia WANG ; Zhigang HAN ; Xiaomei TIAN ; Jielin XIE ; Mengwei ZHANG ; Di ZHANG ; Guofi ZHANG
Chinese Journal of General Practitioners 2012;11(2):143-145
Magnetic resonance imaging (MRI) findings of 52 patients with septate uterus were retrospectively analyzed.There were 19 cases of complete septate uterus and 32 cases of partial septate uterus confirmed by hysteroscopy or hysteroscopy combined with laparoscopy,and 1 case without surgery.According to MRI findings,19 cases were diagnosed as complete septate uterus,32 cases as partial septate uterus and 1 case as intrauterine adhesion.The results indicated that MRIcan be used in diagnosis of septate uterus.
2.EGFR Exon 20 Insertion Mutation:Research Status and New Treatment Strategies
TIAN MENGWEI ; WANG NA ; DOU ZHANJUN ; SONG XIA ; ZHANG XIA
Chinese Journal of Lung Cancer 2024;27(8):579-592
In non-small cell lung cancer(NSCLC),as an improtant oncogenic driver gene,epidermal growth factor receptor exon 20 insertion(EGFR ex20ins)has a unique protein structure and is primarily drug-resistant to tradi-tional EGFR-tyrosine kinase inhibitors(EGFR-TKIs).In recent years,exploration of targeted therapy for EGFR ex20ins has never stopped.Firstly Mobocertinib and Amivantamab obtained approval from U.S.Food and Drug Administration(FDA)for EGFR ex20ins mutant NSCLC patients,then other drugs,such as Sunvozertinib,made breakthroughs and combination therapies also obtained gains.Multi-pronged measures are hopeful to overcome EGFR ex20ins drug resistance.As men-tioned above,it's definitely important to gain deeper understanding of molecular mechanism of EGFR ex20ins and assess ef-fect and difference between novel drugs.This review is devoted to make a summary about newest achievement so to provide valuable reference about precise therapy for patients with EGFR ex20ins.
3.Status and influencing factors of preoperative frailty in elderly patients undergoing neurosurgery
Yunyun LIU ; Jun WANG ; Tian ZHOU ; Mengwei NING ; Ying XU
Chinese Journal of Modern Nursing 2023;29(35):4861-4865
Objective:To investigate the status of preoperative frailty in elderly patients undergoing neurosurgery and explore its influencing factors.Methods:A total of 135 elderly patients undergoing neurosurgery in Xuanwu Hospital Capital Medical University from April 2020 to March 2021 were selected as the research objects by the convenient sampling method. The survey was conducted using the general information questionnaire, Clinical Frailty Scale, Short-Form Mini Nutritional Assessment, Barthel Index Evaluation Scale and Geriatric Depression Scale-15. Logistic regression analysis was used to screen the influencing factors of preoperative frailty in elderly patients undergoing neurosurgery.Results:A total of 135 questionnaires were sent out, and 123 were effectively collected, with an effective recovery rate of 91.1%. Among 123 elderly neurosurgical patients, the incidence of preoperative frailty was 32.5% (40/123) . The results of logistic regression analysis showed that female, malnutrition and self-care ability were the influencing factors for preoperative frailty in elderly neurosurgical patients ( P<0.05) . Conclusions:The incidence of preoperative frailty in elderly neurosurgical patients is relatively high, which should be actively evaluated clinically, considering the gender difference of patients, improving the nutritional status of patients, effectively helping the self-care dependent population and improving the prognosis of patients.
4.The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
Song SHUHUI ; Ma LINA ; Zou DONG ; Tian DONGMEI ; Li CUIPING ; Zhu JUNWEI ; Chen MEILI ; Wang ANKE ; Ma YINGKE ; Li MENGWEI ; Teng XUFEI ; Cui YING ; Duan GUANGYA ; Zhang MOCHEN ; Jin TONG ; Shi CHENGMIN ; Du ZHENGLIN ; Zhang YADONG ; Liu CHUANDONG ; Li RUJIAO ; Zeng JINGYAO ; Hao LILI ; Jiang SHUAI ; Chen HUA ; Han DALI ; Xiao JINGFA ; Zhang ZHANG ; Zhao WENMING ; Xue YONGBIAO ; Bao YIMING
Genomics, Proteomics & Bioinformatics 2020;18(6):749-759
On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.