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Luo N, Luo X, Zheng S, Yao D, Zhao M, Cui Y, Zhu Y, Calhoun VD, Sun L, Sui J. Aberrant brain dynamics and spectral power in children with ADHD and its subtypes. Eur Child Adolesc Psychiatry 2023; 32:2223-2234. [PMID: 35996018 PMCID: PMC10576687 DOI: 10.1007/s00787-022-02068-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 08/08/2022] [Indexed: 12/16/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children, usually categorized as three subtypes, predominant inattention (ADHD-I), predominant hyperactivity-impulsivity (ADHD-HI), and a combined subtype (ADHD-C). Yet, common and unique abnormalities of electroencephalogram (EEG) across different subtypes remain poorly understood. Here, we leveraged microstate characteristics and power features to investigate temporal and frequency abnormalities in ADHD and its subtypes using high-density EEG on 161 participants (54 ADHD-Is and 53 ADHD-Cs and 54 healthy controls). Four EEG microstates were identified. The coverage of salience network (state C) were decreased in ADHD compared to HC (p = 1.46e-3), while the duration and contribution of frontal-parietal network (state D) were increased (p = 1.57e-3; p = 1.26e-4). Frequency power analysis also indicated that higher delta power in the fronto-central area (p = 6.75e-4) and higher power of theta/beta ratio in the bilateral fronto-temporal area (p = 3.05e-3) were observed in ADHD. By contrast, remarkable subtype differences were found primarily on the visual network (state B), of which ADHD-C have higher occurrence and coverage than ADHD-I (p = 9.35e-5; p = 1.51e-8), suggesting that children with ADHD-C might exhibit impulsivity of opening their eyes in an eye-closed experiment, leading to hyper-activated visual network. Moreover, the top discriminative features selected from support vector machine model with recursive feature elimination (SVM-RFE) well replicated the above results, which achieved an accuracy of 72.7% and 73.8% separately in classifying ADHD and two subtypes. To conclude, this study highlights EEG microstate dynamics and frequency features may serve as sensitive measurements to detect the subtle differences in ADHD and its subtypes, providing a new window for better diagnosis of ADHD.
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Affiliation(s)
- Na Luo
- Institute of Automation, Chinese Academy of Sciences, Brainnetome Center and National Laboratory of Pattern Recognition, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiangsheng Luo
- Peking University Sixth Hospital and, Peking University Institute of Mental Health, Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, 100191, China
| | - Suli Zheng
- Peking University Sixth Hospital and, Peking University Institute of Mental Health, Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, 100191, China
| | - Dongren Yao
- Massachusetts Eye and Ear Infirmary, Boston, MA, 02114, USA
- Harvard Medical School, Boston, MA, 02114, USA
| | - Min Zhao
- Institute of Automation, Chinese Academy of Sciences, Brainnetome Center and National Laboratory of Pattern Recognition, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yue Cui
- Institute of Automation, Chinese Academy of Sciences, Brainnetome Center and National Laboratory of Pattern Recognition, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu Zhu
- Peking University Sixth Hospital and, Peking University Institute of Mental Health, Beijing, 100191, China
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, 100191, China
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Li Sun
- Peking University Sixth Hospital and, Peking University Institute of Mental Health, Beijing, 100191, China.
- NHC Key Laboratory of Mental Health (Peking University) and National Clinical Research Center for Mental Disorders, (Peking University Sixth Hospital), Beijing, 100191, China.
| | - Jing Sui
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA.
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
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Li M, Xie S, Bi X, Sun F, Zeng Z, Deng W, Jiang T, Lin Y, Yang L, Lu Y, Zhang L, Yi W, Xie Y. An optimized mode of interferon intermittent therapy help improve HBsAg disappearance in chronic hepatitis B patients. Front Microbiol 2022; 13:960589. [PMID: 36110295 PMCID: PMC9468551 DOI: 10.3389/fmicb.2022.960589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/19/2022] [Indexed: 01/07/2023] Open
Abstract
BackgroundTo investigate the effect of intermittent interferon therapy mode on the disappearance of hepatitis B surface antigen (HBsAg) in chronic hepatitis B (CHB) patients.MethodsThis is a retrospective cohort study in CHB patients who were suspended from pegylated interferon α (PEG-IFNα) therapy due to a plateau in HBsAg decline during the initial treatment period, and resumed interferon therapy after an interval of 3–6 months. Patients received entecavir or tenofovir during the interval period. Hepatitis B virus (HBV) virological and serological indexes, clinical biochemical indexes, and blood routine tests were performed at the baseline and every 3 months during follow-up of initial interferon treatment. A functional cure was analyzed as a primary outcome.ResultsA total of 304 patients treated with intermittent PEG-IFNα were included in the statistical analysis, including 215 men and 89 women, aged 37.97 ± 8.53 years, and 73 hepatitis B e antigen (HBeAg)-negative and 231 HBeAg positive patients. In total 59 patients (19.41%) achieved HBsAg disappearance through the initial, intermittent, and retreatment of PEG-IFNα treatment, of whom 43 patients (14.14%) achieved HBsAg seroconversion. Early HBsAg response to initial treatment was significantly associated with HBsAg response at 12 and 24 weeks of retreatment. After the intermission period, the incidence of HBsAg disappearance in patients with early HBsAg response in the retreatment period was 43.87%. The baseline HBsAg and 12-week HBsAg response in the retreatment period had higher predictive value than the initial treatment HBsAg response.ConclusionThe initial, intermittent, and retreatment mode of interferon can help to improve the HBsAg disappearance rate in CHB patients.Clinical trial registration[www.ClinicalTrials.gov], identifier [NCT04028856].
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Affiliation(s)
- Minghui Li
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Si Xie
- Division of Hepatology, Hepato-Pancreato-Biliary Center, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Xiaoyue Bi
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Fangfang Sun
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Zhan Zeng
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Wen Deng
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Tingting Jiang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yanjie Lin
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
| | - Liu Yang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yao Lu
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Lu Zhang
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Wei Yi
- Department of Gynecology and Obstetrics, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Wei Yi,
| | - Yao Xie
- Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China
- Yao Xie,
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Sun N, Yang Y, Wang S, Zhang J, Gui J, Tai J, He L, Xu J, Li Y, Zhang X, Liu Q, Liu Z, Guo Y, Ni X. DCX and CRABP2 are candidate genes for differential diagnosis between pre-chemotherapy embryonic and alveolar rhabdomyosarcoma in pediatric patients. Pediatr Investig 2021; 5:106-111. [PMID: 34179706 PMCID: PMC8212716 DOI: 10.1002/ped4.12278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/26/2021] [Indexed: 11/17/2022] Open
Abstract
IMPORTANCE Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children. More than 90% of cases are classified as embryonic RMS (ERMS) or alveolar RMS (ARMS). ERMS has a worse prognosis than ARMS. Early differential diagnosis is of paramount importance for optimization of treatment. OBJECTIVE To identify genes that are differentially expressed between ARMS and ERMS, which can be used for accurate rhabdomyosarcoma classification. METHODS Three Gene Expression Omnibus datasets composed of ARMS and ERMS samples were screened and 35 differentially expressed genes (DEGs) were identified. Receiver operating characteristic curve analysis and area under the curve analysis was performed for these 35 DEGs and seven candidate genes with the best differential expression scores between ARMS and ERMS were determined. The expression of these seven candidate genes was validated by immunohistochemical analysis of pre-chemotherapy ARMS and ERMS specimens. RESULTS The levels of DCX and CRABP2 were confirmed to be remarkably different between paraffin-embedded ARMS and ERMS tissues, while EGFR abundance was only marginally different between these two RMS subtypes. INTERPRETATION DCX and CRABP2 are potential biomarkers for distinguishing ARMS from ERMS in pre-chemotherapy pediatric patients.
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Affiliation(s)
- Nian Sun
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Yeran Yang
- Beijing Key Laboratory for Pediatric Diseases of OtolaryngologyHead and Neck SurgeryMOE Key Laboratory of Major Diseases in ChildrenBeijing Pediatric Research InstituteBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Shengcai Wang
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Jie Zhang
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Jingang Gui
- Laboratory of Tumor ImmunologyBeijing Pediatric Research InstituteBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Jun Tai
- Department of OtorhinolaryngologyChildren’s HospitalCapital Institute of PediatricsBeijingChina
| | - Lejian He
- Department of PathologyBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Jiatong Xu
- Department of PathologyBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Yanzhen Li
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Xuexi Zhang
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Qiaoyin Liu
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Zhiyong Liu
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Yongli Guo
- Beijing Key Laboratory for Pediatric Diseases of OtolaryngologyHead and Neck SurgeryMOE Key Laboratory of Major Diseases in ChildrenBeijing Pediatric Research InstituteBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Xin Ni
- Department of Otolaryngology, Head and Neck SurgeryBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
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He Q, Zhu J, Wang A, Ji K, Ji X, Zhang J, Wu X, Li X, Bu Z, Ji J. A decision analysis comparing three strategies for peritoneal lavage cytology testing in staging of gastric cancer in China. Cancer Med 2020; 9:8940-8949. [PMID: 33047873 PMCID: PMC7724308 DOI: 10.1002/cam4.3518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Positive peritoneal cytology (PCY) indicates metastasis (M1) in gastric cancer (GC) patients; both the American and Chinese guidelines recommend laparoscopic peritoneal lavage (LPL) for cytology. However, relatively high costs impair the widespread use of LPL in some resource-limited regions in China, and the cost-effectiveness of PCY testing remains unclear. Therefore, we performed a decision analysis to evaluate the cost-effectiveness of PCY testing by comparing the guideline-recommended intraoperative LPL, a newly proposed preoperative percutaneous peritoneal lavage (PPL), and a third strategy of exploratory laparotomy with no cytology testing (ELNC) among GC patients. METHODS We developed a decision-analytic Markov model of the aforementioned three strategies for a hypothetical cohort of GC patients with curative intent after initial imaging, from the perspective of Chinese society. We estimated costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) as primary outcomes; we also conducted one-way and probabilistic sensitivity analyses to investigate the model's robustness. RESULTS We found that ELNC was dominated (i.e., more expensive and less effective) by PPL and LPL. LPL was the most cost-effective method with an ICER of US$17,200/QALY compared to PPL, which was below the Chinese willingness-to-pay (WTP) threshold of US$29,313 per QALY gained. In sensitivity analyses, PPL was more likely to be cost-effective with a lower WTP threshold. CONCLUSIONS Cytology testing through either LPL or PPL was less expensive and more effective than ELNC among GC patients. Moreover, LPL was the most cost-effective modality at the current WTP threshold, while PPL could potentially be cost-effective in lower-income areas.
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Affiliation(s)
- Qifei He
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Jinyi Zhu
- Center for Health Decision ScienceHarvard T.H. Chan School of Public HealthBostonMAUSA
| | - Anqiang Wang
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Ke Ji
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Xin Ji
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Ji Zhang
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Xiaojiang Wu
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Xia Li
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Zhaode Bu
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
| | - Jiafu Ji
- Department of Gastrointestinal SurgeryKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education)Peking University Cancer Hospital & InstituteBeijingChina
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Yue Z, Ningning D, Lin Y, Jianming Y, Hongtu Z, Ligong Y, Feng L, Shuaibo W, Yousheng M. Correlation between CXCR4, CXCR5 and CCR7 expression and survival outcomes in patients with clinical T1N0M0 non-small cell lung cancer. Thorac Cancer 2020; 11:2955-2965. [PMID: 32896997 PMCID: PMC7529574 DOI: 10.1111/1759-7714.13645] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related death. Even if early detection and treatment have proven to be effective, the survival outcomes are still poor. METHODS Tissue samples and clinicopathological data of 244 patients with clinical T1N0M0 NSCLC were collected. We investigated CXCR4, CXCR5 and CCR7 expression levels using the immunohistochemical method and analyzed their correlations with clinicopathological characteristics and survival outcomes. RESULTS Elevated expression levels of CXCR4, CXCR5 and CCR7 were found in tumor tissues (P < 0.001). The expression levels were remarkably different in histological type (CXCR4, P = 0.032; CXCR5, P < 0.001; CCR7, P < 0.001) and LVI (CXCR4, P = 0.017; CXCR5, P = 0.030; CCR7, P < 0.001). In addition, CXCR4 and CXCR5 expression were significantly different in tumor differentiation (CXCR4, P < 0.001; CXCR5, P < 0.001). Survival analysis showed that patients with positive CXCR4 expression had a significantly lower five-year DFS (P = 0.007) and a lower five-year OS (P = 0.010). Patients in the CXCR5 positive group had a significantly lower five-year DFS (P = 0.038) and a lower five-year OS (P = 0.220), which were statistically insignificant. However, five-year DFS and five-year OS of patients with positive CCR7 expression were significantly higher (DFS: P < 0.001; OS: P < 0.001). CXCR5 and CCR7 expression were found to be independent prognostic factors through multivariate analysis. CONCLUSIONS Expression levels of CXCR4, CXCR5 and CCR7 were significantly higher in tumor tissues, and expression of CXCR5 and CCR7 were independent prognostic factors for survival. Moreover, all three chemokines were correlated to the survival outcomes of patients with clinical T1N0M0 NSCLC, providing potential prognosticators and therapy targets for lung cancer treatment.
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Affiliation(s)
- Zhao Yue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ding Ningning
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yang Lin
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ying Jianming
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhang Hongtu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yuan Ligong
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Li Feng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Wang Shuaibo
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Mao Yousheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Yang SL, Chen L, He Y, Zhao H, Wu YM. Effect of neoadjuvant chemotherapy followed by surgery for FIGO stage I-II cervical cancer: a meta-analysis. J Int Med Res 2020; 48:300060520945507. [PMID: 32867558 PMCID: PMC7469733 DOI: 10.1177/0300060520945507] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 07/03/2020] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE In this meta-analysis, we aimed to evaluate the oncological outcomes of preoperative neoadjuvant chemotherapy followed by radical surgery compared with radical surgery alone for treatment of International Federation of Gynecology and Obstetrics (FIGO) stage I-II cervical cancer. METHOD We searched for studies comparing the safety and efficacy of neoadjuvant chemotherapy plus surgery versus surgery alone in treatment outcomes of locally advanced cervical cancer. Meta-analysis was used to calculate the pooled odds ratios with corresponding 95% confidence intervals (CI). RESULTS Sixteen studies were included in our analysis. Pooled analysis of overall survival rate [odds ratio (OR) = 1.09, 95% CI: 0.83-1.43] and progression-free survival rate (OR = 1.10, 95% CI: 0.77-1.57) showed that preoperative neoadjuvant chemotherapy did not have a benefit compared with surgery alone in terms of survival rates. The pooled results for postoperative parameters indicated that preoperative neoadjuvant chemotherapy followed by radical surgery was associated with a high rate of vascular space involvement (OR = 0.25, 95% CI: 0.17-0.35) and parametrial infiltration (OR = 0.60, 95% CI: 0.45-0.79). CONCLUSIONS This meta-analysis indicated that surgery following neoadjuvant chemotherapy for FIGO stage I-II cervical cancer and surgery alone had similar oncological outcomes.
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Affiliation(s)
- Shu-Li Yang
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Ling Chen
- Guangzhou Red Cross Hospital, Guangzhou, China
| | - Yue He
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Hui Zhao
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Yu-Mei Wu
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
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Luo N, Sui J, Abrol A, Lin D, Chen J, Vergara VM, Fu Z, Du Y, Damaraju E, Xu Y, Turner JA, Calhoun VD. Age-related structural and functional variations in 5,967 individuals across the adult lifespan. Hum Brain Mapp 2020; 41:1725-1737. [PMID: 31876339 PMCID: PMC7267948 DOI: 10.1002/hbm.24905] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 11/24/2019] [Accepted: 12/10/2019] [Indexed: 12/13/2022] Open
Abstract
Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated the relationship between age and brain imaging, the results are heterogeneous due to small sample sizes and relatively narrow age ranges. Here, based on year-wise estimation of 5,967 subjects from 13 to 72 years old, we aimed to provide a more precise description of adult lifespan variation trajectories of gray matter volume (GMV), structural network correlation (SNC), and functional network connectivity (FNC) using independent component analysis and multivariate linear regression model. Our results revealed the following relationships: (a) GMV linearly declined with age in most regions, while parahippocampus showed an inverted U-shape quadratic relationship with age; SNC presented a U-shape quadratic relationship with age within cerebellum, and inverted U-shape relationship primarily in the default mode network (DMN) and frontoparietal (FP) related correlation. (b) FNC tended to linearly decrease within resting-state networks (RSNs), especially in the visual network and DMN. Early increase was revealed between RSNs, primarily in FP and DMN, which experienced a decrease at older ages. U-shape relationship was also revealed to compensate for the cognition deficit in attention and subcortical related connectivity at late years. (c) The link between middle occipital gyrus and insula, as well as precuneus and cerebellum, exhibited similar changing trends between SNC and FNC across the adult lifespan. Collectively, these results highlight the benefit of lifespan study and provide a precise description of age-related regional variation and SNC/FNC changes based on a large dataset.
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Affiliation(s)
- Na Luo
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
- CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of Automation, Chinese Academy of SciencesBeijingChina
| | - Anees Abrol
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Dongdong Lin
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Jiayu Chen
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Victor M. Vergara
- CAS Center for Excellence in Brain Science and Intelligence TechnologyInstitute of Automation, Chinese Academy of SciencesBeijingChina
| | - Zening Fu
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Yuhui Du
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
- School of Computer and Information TechnologyShanxi UniversityTaiyuanChina
| | - Eswar Damaraju
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
| | - Yong Xu
- Department of PsychiatryFirst Clinical Medical College/ First Hospital of Shanxi Medical UniversityTaiyuanChina
| | - Jessica A. Turner
- Department of PsychologyNeuroscience Institute, Georgia State UniversityAtlantaGeorgia
| | - Vince D. Calhoun
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory UniversityAtlantaGeorgia
- Department of PsychiatryYale University, School of MedicineNew HavenConnecticut
- Department of Psychology, Computer ScienceNeuroscience Institute, and Physics, Georgia State UniversityAtlantaGeorgia
- Department of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaGeorgia
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Wang X, Liang X, Jiang Z, Nguchu BA, Zhou Y, Wang Y, Wang H, Li Y, Zhu Y, Wu F, Gao J, Qiu B. Decoding and mapping task states of the human brain via deep learning. Hum Brain Mapp 2020; 41:1505-1519. [PMID: 31816152 PMCID: PMC7267978 DOI: 10.1002/hbm.24891] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 11/20/2019] [Accepted: 11/27/2019] [Indexed: 02/06/2023] Open
Abstract
Support vector machine (SVM)-based multivariate pattern analysis (MVPA) has delivered promising performance in decoding specific task states based on functional magnetic resonance imaging (fMRI) of the human brain. Conventionally, the SVM-MVPA requires careful feature selection/extraction according to expert knowledge. In this study, we propose a deep neural network (DNN) for directly decoding multiple brain task states from fMRI signals of the brain without any burden for feature handcrafts. We trained and tested the DNN classifier using task fMRI data from the Human Connectome Project's S1200 dataset (N = 1,034). In tests to verify its performance, the proposed classification method identified seven tasks with an average accuracy of 93.7%. We also showed the general applicability of the DNN for transfer learning to small datasets (N = 43), a situation encountered in typical neuroscience research. The proposed method achieved an average accuracy of 89.0 and 94.7% on a working memory task and a motor classification task, respectively, higher than the accuracy of 69.2 and 68.6% obtained by the SVM-MVPA. A network visualization analysis showed that the DNN automatically detected features from areas of the brain related to each task. Without incurring the burden of handcrafting the features, the proposed deep decoding method can classify brain task states highly accurately, and is a powerful tool for fMRI researchers.
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Affiliation(s)
- Xiaoxiao Wang
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Xiao Liang
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Zhoufan Jiang
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Benedictor A. Nguchu
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Yawen Zhou
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Yanming Wang
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Huijuan Wang
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Yu Li
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Yuying Zhu
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Feng Wu
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
| | - Jia‐Hong Gao
- MRI Research Center and Beijing City Key Lab for Medical Physics and EngineeringPeking UniversityBeijingChina
- McGovern Institute for Brain Research, Peking UniversityBeijingChina
| | - Bensheng Qiu
- Centers for Biomedical EngineeringUniversity of Science and Technology of ChinaHefeiChina
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9
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Sun L, Zhang L, Zhang N, Han J, Li Z, Zhang T, Yao L, Ma Y, Wang L, Liu Y, Guo C, Wu Q. Evaluation of Hemodynamic Changes in Fetuses With Isolated Mild-to-Moderate Ventriculomegaly by Transabdominal Ultrasound. J Ultrasound Med 2020; 39:453-461. [PMID: 31448445 PMCID: PMC7065132 DOI: 10.1002/jum.15121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 07/25/2019] [Accepted: 08/04/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVES To investigate fetal hemodynamic alterations using transabdominal ultrasound in fetuses with isolated mild-to-moderate ventriculomegaly (VM). METHODS Fetuses diagnosed with isolated mild-to-moderate VM by transabdominal ultrasound were evaluated for hemodynamic changes, including changes in fetal cardiac function, the umbilical artery, the ductus venosus, and the middle cerebral artery. The fetuses with isolated mild-to-moderate VM were divided into 2 groups, namely, before 32 weeks' gestation (20 weeks-31 weeks 6 days) and after 32 weeks' gestation (32-38 weeks), and matched to corresponding healthy control fetuses. RESULTS The 53 fetuses with VM before 32 weeks had a longer mean isovolumetric relaxation time (IRT; mean ± SD, 42.9 ± 6.8 versus 40.4 ± 5.0 milliseconds; P < .05) and an apparently higher modified myocardial performance index 0.46 ± 0.06 versus 0.43 ± 0.05; P < .01) than the healthy control fetuses. The 43 fetuses with VM after 32 weeks had a significantly longer mean IRT (45.5 ± 6.7 versus 40.9 ± 7.2 milliseconds; P < .01) and a lower UA pulsatility index (0.81 ± 0.13 versus 0.89 ± 0.11; P < .01). The optimal cutoff levels for the IRT in the prediction of adverse perinatal outcomes were 40 and 43 milliseconds before and after 32 weeks, respectively (sensitivity, 100% versus 100%; specificity, 40.4% versus 50.0%; area under the curve, 0.601 versus 0.748; 95% confidence interval, 0.457-0.733 versus 0.590-0.869; P = .291 versus .005). CONCLUSIONS Some fetuses with isolated mild-to-moderate VM may have impaired cardiac function, characterized by a higher modified myocardial performance index or longer IRT. This finding might be useful for improving fetal surveillance.
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Affiliation(s)
- Lijuan Sun
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Lina Zhang
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Na Zhang
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Jijing Han
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Zhen Li
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Tiejuan Zhang
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Ling Yao
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Yuqing Ma
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Li Wang
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Yan Liu
- Department of Obstetrics, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Cuixia Guo
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
| | - Qingqing Wu
- Department of Ultrasound, Beijing Obstetrics and Gynecology HospitalCapital Medical UniversityBeijingChina
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10
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Fan H, Su Y, Duan C, Zhao Q, Wang X, Zhu S, Zhao W, Jin M, Ma X. Iron deficiency in children at the time of initial neuroblastoma diagnosis. Pediatr Investig 2020; 4:17-22. [PMID: 32851337 PMCID: PMC7331340 DOI: 10.1002/ped4.12156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 07/23/2019] [Indexed: 11/25/2022] Open
Abstract
IMPORTANCE There is a high incidence of iron deficiency in children worldwide. Notably, however, while iron deficiency is the most common cause of anemia, little is known about the prevalence and different types of iron deficiency in neuroblastoma patients. OBJECTIVE The aim of the present study was to investigate the prevalence of iron deficiency in patients newly diagnosed with neuroblastoma. METHODS A total of 195 newly diagnosed neuroblastoma patients from November 2015 to January 2018 were analyzed retrospectively. The survival analysis was estimated by the Kaplan-Meier method. RESULTS Of the 195 neuroblastoma patients included in the study, 121 (62.1%) had iron deficiency, 55 (28.2%) had absolute iron deficiency, and 66 (33.9%) had functional iron deficiency. Being aged ≥ 18 months, tumor originating in the abdomen, International Neuroblastoma Risk Group Staging System M, high-risk neuroblastoma, lactate dehydrogenase ≥ 1500 U/L, neuron-specific enolase ≥ 100 U/L, unfavorable histologic category, MYCN amplification, chromosome 1p loss, and bone marrow metastasis were associated with significantly higher rates of functional iron deficiency (P < 0.05). INTERPRETATION Functional iron deficiency at the time of initial neuroblastoma diagnosis predicted lower event-free survival. Long-term effects of iron supplementation in neuroblastoma patients with different types of iron deficiency need to be further studied.
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Affiliation(s)
- Hongjun Fan
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Yan Su
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Chao Duan
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Qian Zhao
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Xisi Wang
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Shuai Zhu
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Wen Zhao
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Mei Jin
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
| | - Xiaoli Ma
- Beijing Key Laboratory of Pediatric Hematology OncologyNational Discipline of PediatricsMinistry of EducationMOE Key Laboratory of Major Diseases in ChildrenHematology Oncology CenterBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina
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11
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Yin X, Wu H, Zhang B, Zhu N, Chen T, Ma X, Zhang L, Lv L, Zhang M, Wang F, Tang X. Tojapride prevents CaSR-mediated NLRP3 inflammasome activation in oesophageal epithelium irritated by acidic bile salts. J Cell Mol Med 2020; 24:1208-1219. [PMID: 31859410 PMCID: PMC6991659 DOI: 10.1111/jcmm.14631] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/23/2019] [Accepted: 08/06/2019] [Indexed: 12/11/2022] Open
Abstract
Impairment of the oesophageal epithelium in patients with reflux oesophagitis (RE) is a cytokine-mediated injury rather than a chemical burn. The present study was conducted to explore CaSR/NLRP3 inflammasome pathway activation and cytokines IL-1β and IL-18 release in oesophageal epithelia injured by refluxates and the effects of Tojapride on that signal regulation. Using a modified RE rat model with Tojapride administration and Tojapride-pretreated SV40-immortalized human oesophageal epithelial cells (HET-1A) exposed to acidic bile salts pretreated with Tojapride, we evaluated the therapeutic effects of Tojapride on oesophageal epithelial barrier function, the expression of CaSR/NLRP3 inflammasome pathway-related proteins and the release of downstream cytokines in response to acidic bile salt irritation. In vivo, Tojapride treatment ameliorated the general condition and pathological lesions of the oesophageal epithelium in modified RE rats. In addition, Tojapride effectively blocked the CaSR-mediated NLRP3 inflammasome activation in modified RE rats. In vitro, Tojapride treatment can reverse the harmful effect of acidic bile salts, which reduced transepithelial electrical resistance (TEER), up-regulated the CaSR-mediated NLRP3 inflammasome pathway and increased caspase-1 activity, LDH release and cytokines secretion. Taken together, these data show that Tojapride can prevent CaSR-mediated NLRP3 inflammasome activation and alleviate oesophageal epithelial injury induced by acidic bile salt exposure.
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Affiliation(s)
- Xiao‐Lan Yin
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Hao‐Meng Wu
- Department of Gastroenterology, Guangzhou Higher Education Mega CenterThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Xiao‐gu‐wei JieGuangzhouChina
| | - Bei‐Huang Zhang
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Ning‐Wei Zhu
- Department of PharmacyZhejiang Pharmaceutical CollegeNingboChina
| | - Ting Chen
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Xiang‐Xue Ma
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Li‐Ying Zhang
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Lin Lv
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Min Zhang
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Feng‐Yun Wang
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
| | - Xu‐Dong Tang
- Department of GastroenterologyChina Academy of Chinese Medical SciencesXiyuan HospitalBeijingChina
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12
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Weng C, Kosalka J, Berkyurek AC, Stempor P, Feng X, Mao H, Zeng C, Li WJ, Yan YH, Dong MQ, Morero NR, Zuliani C, Barabas O, Ahringer J, Guang S, Miska EA. The USTC co-opts an ancient machinery to drive piRNA transcription in C. elegans. Genes Dev 2019; 33:90-102. [PMID: 30567997 PMCID: PMC6317315 DOI: 10.1101/gad.319293.118] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Accepted: 10/19/2018] [Indexed: 01/15/2023]
Abstract
Piwi-interacting RNAs (piRNAs) engage Piwi proteins to suppress transposons and nonself nucleic acids and maintain genome integrity and are essential for fertility in a variety of organisms. In Caenorhabditis elegans, most piRNA precursors are transcribed from two genomic clusters that contain thousands of individual piRNA transcription units. While a few genes have been shown to be required for piRNA biogenesis, the mechanism of piRNA transcription remains elusive. Here we used functional proteomics approaches to identify an upstream sequence transcription complex (USTC) that is essential for piRNA biogenesis. The USTC contains piRNA silencing-defective 1 (PRDE-1), SNPC-4, twenty-one-U fouled-up 4 (TOFU-4), and TOFU-5. The USTC forms unique piRNA foci in germline nuclei and coats the piRNA cluster genomic loci. USTC factors associate with the Ruby motif just upstream of type I piRNA genes. USTC factors are also mutually dependent for binding to the piRNA clusters and forming the piRNA foci. Interestingly, USTC components bind differentially to piRNAs in the clusters and other noncoding RNA genes. These results reveal the USTC as a striking example of the repurposing of a general transcription factor complex to aid in genome defense against transposons.
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Affiliation(s)
- Chenchun Weng
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Joanna Kosalka
- Wellcome Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom
| | - Ahmet C Berkyurek
- Wellcome Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom
| | - Przemyslaw Stempor
- Wellcome Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom
| | - Xuezhu Feng
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Hui Mao
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Chenming Zeng
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Wen-Jun Li
- National Institute of Biological Sciences, Beijing 102206, China
| | - Yong-Hong Yan
- National Institute of Biological Sciences, Beijing 102206, China
| | - Meng-Qiu Dong
- National Institute of Biological Sciences, Beijing 102206, China
| | - Natalia Rosalía Morero
- Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany
| | - Cecilia Zuliani
- Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany
| | - Orsolya Barabas
- Structural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany
| | - Julie Ahringer
- Wellcome Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom
| | - Shouhong Guang
- Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China
| | - Eric A Miska
- Wellcome Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, United Kingdom; Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom
- Wellcome Sanger Institute, Cambridge CB10 1SA, United Kingdom
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13
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Zhang Q, Ma H, Ma J, Wang D, Zhao Y, Wang T, Li Z, Wu R, Zhang R. Clinical and genetic analysis of immunodeficiency-related diseases associated with PIK3CD mutations. Pediatr Investig 2018; 2:257-262. [PMID: 32851276 PMCID: PMC7331349 DOI: 10.1002/ped4.12101] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 12/12/2018] [Indexed: 11/12/2022] Open
Affiliation(s)
- Qing Zhang
- Hematology and Oncology Laboratory, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Honghao Ma
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Jie Ma
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Dong Wang
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Yunze Zhao
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Tianyou Wang
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Zhigang Li
- Hematology and Oncology Laboratory, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Runhui Wu
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
| | - Rui Zhang
- Beijing Key Laboratory of Pediatric Hematology Oncology; National Key Discipline of Pediatrics (Capital Medical University); Key Laboratory of Major Diseases in Children, Ministry of Education; Department of Hematology Oncology Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's HealthBeijingChina
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14
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Xie M, Dart DA, Guo T, Xing XF, Cheng XJ, Du H, Jiang WG, Wen XZ, Ji JF. MicroRNA-1 acts as a tumor suppressor microRNA by inhibiting angiogenesis-related growth factors in human gastric cancer. Gastric Cancer 2018; 21:41-54. [PMID: 28493075 PMCID: PMC5741792 DOI: 10.1007/s10120-017-0721-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 04/17/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND We recently reported that miR-1 was one of the most significantly downregulated microRNAs in gastric cancer (GC) patients from The Cancer Genome Atlas microRNA sequencing data. Here we aim to elucidate the role of miR-1 in gastric carcinogenesis. METHODS We measured miR-1 expression in human GC cell lines and 90 paired primary GC samples, and analyzed the association of its status with clinicopathological features. The effect of miR-1 on GC cells was evaluated by proliferation and migration assay. To identify the target genes of miR-1, bioinformatic analysis and protein array analysis were performed. Moreover, the regulation mechanism of miR-1 with regard to these predicted targets was investigated by quantitative PCR (qPCR), Western blot, ELISA, and endothelial cell tube formation. The putative binding site of miR-1 on target genes was assessed by a reporter assay. RESULTS Expression of miR-1 was obviously decreased in GC cell lines and primary tissues. Patients with low miR-1 expression had significantly shorter overall survival compared with those with high miR-1 expression (P = 0.0027). Overexpression of miR-1 in GC cells inhibited proliferation, migration, and tube formation of endothelial cells by suppressing expression of vascular endothelial growth factor A (VEGF-A) and endothelin 1 (EDN1). Conversely, inhibition of miR-1 with use of antago-miR-1 caused an increase in expression of VEGF-A and EDN1 in nonmalignant GC cells or low-malignancy GC cells. CONCLUSIONS MiR-1 acts as a tumor suppressor by inhibiting angiogenesis-related growth factors in human gastric cancer. Downregulated miR-1 not only promotes cellular proliferation and migration of GC cells, but may activates proangiogenesis signaling and stimulates the proliferation and migration of endothelial cells, indicating the possibility of new strategies for GC therapy.
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Affiliation(s)
- Meng Xie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Dafydd Alwyn Dart
- Cardiff China Medical Research Collaborative, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
| | - Ting Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiao-Fang Xing
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiao-Jing Cheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hong Du
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Wen G Jiang
- Cardiff China Medical Research Collaborative, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK.
| | - Xian-Zi Wen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China.
| | - Jia-Fu Ji
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, China.
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