1
|
Zhu WY, Li YH, Zhang T, Peng M, Feng RE, Shi JH. [Diffuse thickening of bronchial walls with multiple nodular mucosal protrusions]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:346-351. [PMID: 38599810 DOI: 10.3760/cma.j.cn112147-20230913-00156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
A 58-year-old woman presented with a six-month history of nasal congestion, sore throat and cough, and a five-month history of dyspnea. She had a history of xerostomia for one year. On examination, the bilateral submandibular gland and parotid glands were enlarged. Parotid and anterior cervical lymph nodes were palpable. There were rales in both lungs. The rest of the physical examination was unremarkable. Sialographic analysis showed normal caliber in the main duct, stenosis in secondary ducts, and dilation in the proximal ducts. Minor salivary gland biopsy demonstrated periductal lymphocytic infiltration. Chest computed tomography (CT) showed diffuse thickening of the tracheal and bilateral bronchial walls. Bronchoscopy revealed macroscopic multiple nodules mainly in the trachea and bilateral main bronchus. Endobronchial biopsy showed lymphocytic infiltration in the bronchial submucosa. She was diagnosed with Sjögren's syndrome and treated with glucocorticoids. The dose of prednisone was started at 30 mg/d and tapered gradually. Following treatment, the patient's clinical condition improved dramatically, with shrinkage of the enlarged lymph nodes, bilateral submandibular and parotid glands. A repeated chest CT scan revealed improvement of the tracheal and bilateral bronchial thickening. Multiple nodules in the airway regressed, as evidenced by repeated bronchoscopic examination. The final diagnosis was a large-airway disease associated with Sjögren's syndrome.Among airway diseases in Sjögren's syndrome, peripheral airway diseases including bronchiolitis and bronchiectasis are common; however, central airway lesions in Sjögren's syndrome, especially with macroscopic nodules, are rare. In this case, we demonstrated tracheal and endobronchial nodules in Sjögren's syndrome as determined by clinical features, CT scan, bronchoscopy, and response to therapy.
Collapse
Affiliation(s)
- W Y Zhu
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y H Li
- Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Qinghai University, Qinghai 810001
| | - T Zhang
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - M Peng
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - R E Feng
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J H Shi
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| |
Collapse
|
2
|
Wu JD, Wang ZQ, Li QQ, Li ZC, Ren C, Wang DS, Chen JY, Tan Q, Li YH, Yang H. ASO Visual Abstract: A 3-Year Survival Update From a Phase II Study of Paclitaxel Plus Cisplatin and 5-Fluorouracil Induction Chemotherapy for Locally Advanced Borderline-Resectable Esophageal Squamous Cell Carcinoma: The NEOCRTEC-1601 Clinical Trial. Ann Surg Oncol 2024; 31:2527-2528. [PMID: 38245642 DOI: 10.1245/s10434-023-14801-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024]
Affiliation(s)
- Jia-Di Wu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Zhi-Qiang Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Qiao-Qiao Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Zhi-Chao Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Chao Ren
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - De-Shen Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Ji-Yang Chen
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Qiong Tan
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Yu-Hong Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
| | - Hong Yang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| |
Collapse
|
3
|
Qi J, Wang TJ, Wang MN, Shang LX, Chen L, Wang XF, Li YH, Xu H, Ma CF. [Risk prediction and function evaluation by T-cell epitope model and expression model of HLA-DPB1 mismatching in unrelated-donor hematopoietic stem cell transplantations]. Zhonghua Yi Xue Za Zhi 2024; 104:850-856. [PMID: 38462361 DOI: 10.3760/cma.j.cn112137-20231203-01275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Objective: To evaluate the risk prediction and assessment function of HLA-DPB1 T-cell epitope (TCE) model and expression model in human leukocyte antigen (HLA)-matched unrelated hematopoietic stem cell transplantation (MUD-HSCT) with HLA-DPB1 mismatching. Methods: A total of 364 (182 pairs) potential MUD-HSCT donors and recipients confirmed by HLA high-resolution typing in Shaanxi Blood Center from 2016 to 2019 were analyzed retrospectively. Of the 182 recipients, there were 121 males and 61 females with an average age of (26.3±14.2) years. Of the 182 donors, there were 148 males and 34 females with an average age of (33.7±7.5) years. Polymerase chain reaction-sequence-based typing (PCR-SBT), next-generation sequencing (NGS) and polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSO) based on LABScan®3D platform were used for high-resolution typing of HLA-A, B, C, DRB1, DQB1, DPB1 gene, and PCR-SBT was used for single nucleotide polymorphism (SNP) typing. TCE model and expression model were used to predict and evaluate the HLA-DPB1 mismatch pattern and acute graft-versus-host-disease (aGVHD) risk. Results: A total of 26 HLA-DPB1 alleles and their 3'-UTR rs9277534 SNP genotypes were detected in this study population, and two new alleles HLA-DPB1*1052∶01 and HLA-DPB1*1119∶01 were found and officially named. The overall mismatch rate of HLA-DPB1 in MUD-HSCT donors and recipients was 90.66% (165/182). In TCE model, the HLA-DPB1 mismatch rates of permissible mismatch (PM) and non-permissible mismatch (non-PM) were 47.80% (87/182) and 42.86% (78/182), respectively. The non-PM in GvH direction was 13.73% (25/182), and which in HvG direction was 29.12% (53/182). A total of 73 pairs of donors and recipients in TCE model met the evaluation criteria of expression model. Among of TCE PM group, recipient DP5 mismatches accounted for 34.25% (25/73) were predicted as aGVHD high risk according to expression model. For the TCE non-PM group, both the recipient DP2 mismatches of 6.85% (5/73) and recipient DP5 mismatches of 10.86% (8/73) were predicted to be at high risk for aGVHD. Risk prediction by TCE model and expression model was 27.27% concordant and 16.97% unconcordant. Conclusions: TCE model and expression model are effective tools to predict aGVHD risk of MUD-HSCT. Comprehensive application of the two models is helpful to the hierarchical assessment of HSCT risk.
Collapse
Affiliation(s)
- J Qi
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - T J Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - M N Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - L X Shang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - L Chen
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - X F Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - Y H Li
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - H Xu
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - C F Ma
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| |
Collapse
|
4
|
Wang F, Jin Y, Wang M, Luo HY, Fang WJ, Wang YN, Chen YX, Huang RJ, Guan WL, Li JB, Li YH, Wang FH, Hu XH, Zhang YQ, Qiu MZ, Liu LL, Wang ZX, Ren C, Wang DS, Zhang DS, Wang ZQ, Liao WT, Tian L, Zhao Q, Xu RH. Combined anti-PD-1, HDAC inhibitor and anti-VEGF for MSS/pMMR colorectal cancer: a randomized phase 2 trial. Nat Med 2024:10.1038/s41591-024-02813-1. [PMID: 38438735 DOI: 10.1038/s41591-024-02813-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 01/10/2024] [Indexed: 03/06/2024]
Abstract
Epigenetic modifications of chromatin, including histone acetylation, and tumor angiogenesis play pivotal roles in creating an immunosuppressive tumor microenvironment. In the randomized phase 2 CAPability-01 trial, we investigated the potential efficacy of combining the programmed cell death protein-1 (PD-1) monoclonal antibody sintilimab with the histone deacetylase inhibitor (HDACi) chidamide with or without the anti-vascular endothelial growth factor (VEGF) monoclonal antibody bevacizumab in patients with unresectable chemotherapy-refractory locally advanced or metastatic microsatellite stable/proficient mismatch repair (MSS/pMMR) colorectal cancer. Forty-eight patients were randomly assigned to either the doublet arm (sintilimab and chidamide, n = 23) or the triplet arm (sintilimab, chidamide and bevacizumab, n = 25). The primary endpoint of progression-free survival (PFS) rate at 18 weeks (18wPFS rate) was met with a rate of 43.8% (21 of 48) for the entire study population. Secondary endpoint results include a median PFS of 3.7 months, an overall response rate of 29.2% (14 of 48), a disease control rate of 56.3% (27 of 48) and a median duration of response of 12.0 months. The secondary endpoint of median overall survival time was not mature. The triplet arm exhibited significantly improved outcomes compared to the doublet arm, with a greater 18wPFS rate (64.0% versus 21.7%, P = 0.003), higher overall response rate (44.0% versus 13.0%, P = 0.027) and longer median PFS rate (7.3 months versus 1.5 months, P = 0.006). The most common treatment-emergent adverse events observed in both the triplet and doublet arms included proteinuria, thrombocytopenia, neutropenia, anemia, leukopenia and diarrhea. There were two treatment-related fatalities (hepatic failure and pneumonitis). Analysis of bulk RNA sequencing data from the patients suggested that the triplet combination enhanced CD8+ T cell infiltration, resulting in a more immunologically active tumor microenvironment. Our study suggests that the combination of a PD-1 antibody, an HDACi, and a VEGF antibody could be a promising treatment regimen for patients with MSS/pMMR advanced colorectal cancer. ClinicalTrials.gov registration: NCT04724239 .
Collapse
Affiliation(s)
- Feng Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China.
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China.
| | - Ying Jin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Min Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Hui-Yan Luo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Wei-Jia Fang
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China
| | - Ying-Nan Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Yan-Xing Chen
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Run-Jie Huang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Wen-Long Guan
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Ji-Bin Li
- Department of Clinical Research, Sun Yat-Sen University Cancer Center, Guangzhou, P. R. China
| | - Yu-Hong Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Feng-Hua Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Xiao-Hua Hu
- Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Yan-Qiao Zhang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, P. R. China
| | - Miao-Zhen Qiu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Lu-Lu Liu
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China
| | - Zi-Xian Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Chao Ren
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - De-Shen Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Dong-Sheng Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Zhi-Qiang Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Wen-Ting Liao
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Lin Tian
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Qi Zhao
- Bioinformatics Platform, Department of Experimental Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Rui-Hua Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University, Guangzhou, P. R. China.
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China.
| |
Collapse
|
5
|
Chen ZG, Ji XM, Xu YX, Fong WP, Liu XY, Liang JY, Tan Q, Wen L, Cai YY, Wang DS, Li YH. Methylated ctDNA predicts early recurrence risk in patients undergoing resection of initially unresectable colorectal cancer liver metastases. Ther Adv Med Oncol 2024; 16:17588359241230752. [PMID: 38425989 PMCID: PMC10903215 DOI: 10.1177/17588359241230752] [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: 07/19/2023] [Accepted: 01/18/2024] [Indexed: 03/02/2024] Open
Abstract
Background Patients with initially unresectable colorectal cancer liver metastases (IU-CRLM) might benefit from using an effective systemic treatment followed by resection of liver metastases but the curative success rate is quite low. Indeed, nearly one-third of patients exhibit early recurrence within the first 6 months after surgery, and these individuals often have poor overall survival. Objectives This study aims to clarify the application value of serial circulating tumor DNA (ctDNA) analysis in predicting the clinical outcome of IU-CRLM patients following liver metastasectomy. Design A retrospective study was conducted on a cohort of patients with IU-CRLM between February 2018 and April 2021. Methods Plasma samples at different time points during CRLM treatment [baseline (BL), preoperation (PRE), postoperation (POST), end-of-treatment (EOT), and progressive disease (PD)] were retrospectively collected from patients with initially unresectable CRLM enrolled at the Sun Yat-sen University Cancer Center. Dynamic changes of SEPTIN 9 (SEPT9) and Neuropeptide Y (NPY) methylated circulating tumor DNA (MetctDNA) levels in serial plasma samples were detected using droplet-digital PCR (ddPCR). Results SEPT9 and NPY genes were hypermethylated in colon cancer cell lines and tissues while no difference was observed between primary and metastatic tumors. Patients with MetctDNA positive at POST or EOT had significantly lower recurrence-free survival (RFS) compared to patients with MetctDNA negative at these time points [POST: Hazard ratio (HR) 9.44, 95% confidence interval (CI) 5.15-17.30, p < 0.001; EOT: HR 11.48, 95% CI 3.27-40.31, p < 0.001]. Multivariate analysis demonstrated that POST (OR 33.96, 95% CI 4.03-286.10, p = 0.001) and EOT (OR 18.36, 95% CI 1.14-295.71, p = 0.04) MetctDNA was an independent risk factor for early recurrence. Time-dependent receiver operating characteristic curve (T-ROC) analysis revealed that area under the curve (AUC) value was greatest at the relapse time point of 6 months post-intervention, with POST-AUC and EOT-AUC values of 0.74 (95% CI 0.66-0.81) and 0.73 (95% CI 0.53-0.94), respectively. Serial MetctDNA analysis showed that RFS was significantly lower in patients with no MetctDNA clearance compared with those with MetctDNA clearance (HR 26.05, 95% CI 4.92-137.81, p < 0.001). Conclusion Our study confirmed that serial ctDNA analysis of NPY and SEPT9 gene methylation could effectively predict early recurrence in IU-CRLM patients, especially at POST and EOT.
Collapse
Affiliation(s)
- Zhi-Gang Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Xiao-Meng Ji
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, P.R. China
| | - Yu-Xia Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Molecular Diagnostics Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - William Pat Fong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Xiao-Yun Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Molecular Diagnostics Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Jie-Ying Liang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Qiong Tan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Lei Wen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - Yan-Yu Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
| | - De-Shen Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dongfeng East Road, Guangzhou 510060, P.R. China
| | - Yu-Hong Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, P.R. China
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dongfeng East Road, Guangzhou 510060, P.R. China
| |
Collapse
|
6
|
Xing YZ, Guo HY, Xiang F, Li YH. Recent progress in hair follicle stem cell markers and their regulatory roles. World J Stem Cells 2024; 16:126-136. [PMID: 38455104 PMCID: PMC10915958 DOI: 10.4252/wjsc.v16.i2.126] [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] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/19/2023] [Accepted: 01/16/2024] [Indexed: 02/26/2024] Open
Abstract
Hair follicle stem cells (HFSCs) in the bulge are a multipotent adult stem cell population. They can periodically give rise to new HFs and even regenerate the epidermis and sebaceous glands during wound healing. An increasing number of biomarkers have been used to isolate, label, and trace HFSCs in recent years. Considering more detailed data from single-cell transcriptomics technology, we mainly focus on the important HFSC molecular markers and their regulatory roles in this review.
Collapse
Affiliation(s)
- Yi-Zhan Xing
- Department of Cell Biology, Army Medical University, Chongqing 400038, China
| | - Hai-Ying Guo
- Department of Cell Biology, Army Medical University, Chongqing 400038, China
| | - Fei Xiang
- Institute of Burn Research, Southwest Hospital, Army Medical University, Chongqing 400038, China
| | - Yu-Hong Li
- Department of Cell Biology, Army Medical University, Chongqing 400038, China.
| |
Collapse
|
7
|
Li YH, Liu L, Hu D, Zheng XY, Lyu J, Yu CQ, Pei P, Duan HP, Gao RQ, Pang ZC, Tian XC, Sun DJY. [Association between waist circumference and ischemic stroke: a prospective study in adults from Qingdao]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:178-184. [PMID: 38413054 DOI: 10.3760/cma.j.cn112338-20230911-00146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To analyze the association between waist circumference (WC) and ischemic stroke (IS). Methods: The data for the present study were from the prospective cohort study of China Kadoorie Biobank in Qingdao. Using baseline information and IS events of the participants, the Cox proportional hazard regression model and restricted cubic spline (RCS) were used to analyze the association between WC and IS. Results: A total of 33 355 participants were included in the study, with 302 008.88 person-years of follow-up. A total of 1 093 new cases of IS were observed. Multivariate Cox proportional hazard regression model analysis showed that compared to the respondents with normal WC (male <85.0 cm, female <80.0 cm), respondents with excessive WC (male ≥85.0 cm, female ≥80.0 cm) had a 78% higher risk of IS incidence [hazard ratio(HR)=1.78, 95%CI: 1.51-2.10], and the risk increased by 72% (HR=1.72, 95%CI: 1.40-2.12) and 83% (HR=1.83, 95%CI: 1.40-2.39) in men and women. According to the RCS, the increase in WC and the risk of IS showed an "S" trend of nonlinear dose-response relationship. Conclusions: The risk of IS would increase with the WC. Keeping a normal WC is important for preventing IS.
Collapse
Affiliation(s)
- Y H Li
- Department of Epidemiology and Biostatistics, School of Public Health, Qingdao University, Qingdao 266071, China
| | - L Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Qingdao University, Qingdao 266071, China
| | - D Hu
- Licang District Center for Disease Control and Prevention of Qingdao, Qingdao 266041, China
| | - X Y Zheng
- Licang District Center for Disease Control and Prevention of Qingdao, Qingdao 266041, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - H P Duan
- Qingdao Center for Disease Control and Prevention, Qingdao 266033, China Qingdao Institute of Preventive Medicine, Qingdao 266033, China
| | - R Q Gao
- Qingdao Center for Disease Control and Prevention, Qingdao 266033, China Qingdao Institute of Preventive Medicine, Qingdao 266033, China
| | - Z C Pang
- Qingdao Center for Disease Control and Prevention, Qingdao 266033, China Qingdao Institute of Preventive Medicine, Qingdao 266033, China
| | - X C Tian
- Qingdao Center for Disease Control and Prevention, Qingdao 266033, China Qingdao Institute of Preventive Medicine, Qingdao 266033, China
| | - D J Y Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| |
Collapse
|
8
|
Chen G, Qu Y, Li YH, Wang J, Dong LY, Luo XF, Zhao YL. [Analysis of the awareness rate and correlates of core information on tuberculosis prevention and control in elderly in Chinese]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:237-241. [PMID: 38413063 DOI: 10.3760/cma.j.cn112338-20230606-00351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To understand the awareness and influencing factors of core information on tuberculosis prevention and control in the elderly population in China. Methods: The study included all participants aged ≥60 from the "13th Five-Year" National Tuberculosis Control Plan end-term assessment in 2020, with 13 706 valid questionnaires obtained. Multivariate logistic regression was used to analyze the influencing factors of the awareness rate of core information on tuberculosis prevention and control in the elderly. Results: The total awareness rate of core information on tuberculosis prevention and control in the elderly aged ≥60 was 78.4%, with the highest for "suspicious symptoms of pulmonary tuberculosis" (85.4%) and the lowest for "whether pulmonary tuberculosis can be cured" (65.3%). The complete awareness rate of core information on tuberculosis prevention and control in the elderly was 41.3%, and the proportion of those who received tuberculosis health education is 67.6%. Multivariate logistic regression analysis results showed that factors associated with low awareness of core information included females (OR=0.93, 95%CI: 0.86-1.00), ages 70- (OR=0.91, 95%CI: 0.84-0.98) and ≥80 (OR=0.77, 95%CI: 0.68-0.87) and minority ethnicity (OR=0.85, 95%CI: 0.74-0.99). Factors associated with high awareness of core information included educational levels of junior high school (OR=1.46, 95%CI: 1.34-1.58), high school (OR=1.62, 95%CI: 1.45-1.81), junior college (OR=1.37, 95%CI: 1.11-1.68), and an undergraduate degree or higher (OR=1.52, 95%CI: 1.09-2.11), and receiving tuberculosis health education (OR=2.13, 95%CI: 1.97-2.27). Conclusions: In 2020, the awareness rate of core information on tuberculosis prevention and control in Chinese older adults aged ≥60 was lower than the national planning target. Therefore, there should be an increased focus on health education about tuberculosis for elderly females, those aged ≥70, ethnic minorities, and those with lower education levels.
Collapse
Affiliation(s)
- G Chen
- Department of Health Policy and Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y Qu
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Y H Li
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Wang
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L Y Dong
- Department of Health Policy and Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X F Luo
- Department of Health Policy and Management, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y L Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
9
|
Wu JD, Wang ZQ, Li QQ, Li ZC, Ren C, Wang DS, Chen JY, Tan Q, Li YH, Yang H. A 3-Year Survival Update from a Phase 2 Study of Paclitaxel Plus Cisplatin and 5-Fuorouracil Induction Chemotherapy for Locally Advanced Borderline-Resectable Esophageal Squamous Cell Carcinoma: The NEOCRTEC-1601 Clinical Trial. Ann Surg Oncol 2024; 31:838-846. [PMID: 37919448 PMCID: PMC10761379 DOI: 10.1245/s10434-023-14513-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/13/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND This study updated 3-year analyses to further characterize the impact of docetaxel, cisplatin, and fluorouracil (TPF) chemotherapy followed by surgery. METHODS This study was a single-center phase 2 clinical trial. Patients with a diagnosis of borderline resectable esophageal squamous cell carcinoma (BR-ESCC) because of the primary tumor or bulky lymph node that potentially invaded adjacent organs were eligible. The treatment started with TPF chemotherapy followed by surgery if the cancer was resectable, or by concurrent chemoradiation if it was unresectable. This updated report presents the 3-year overall survival (OS) and progression-free survival (PFS) rates. RESULTS Surgery was performed for 27 patients (57.4%), and R0 resection was confirmed in 25 patients (53.2%). Pathologic complete response was confirmed in four patients (8.5%). The median follow-up time for the surviving patients was 44.8 months (range, 3.4-74.6 months). The median OS for all the patients was 41.9 months (95% confidence interval [CI], 18.6-65.3 months), with a median PFS of 38.7 months (95% CI, 23.5-53.9 months). The 3-year survival rate for all the patients was 54.4%. The 3-year survival rate for the R0 patients was 65.4%. CONCLUSION Long-term follow-up evaluation confirmed that TPF followed by surgery is feasible and promising in terms of survival for BR-ESCC patients. Trial Registration ClinicalTrials.gov identifer: NCT02976909.
Collapse
Affiliation(s)
- Jia-Di Wu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Zhi-Qiang Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Qiao-Qiao Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Zhi-Chao Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Chao Ren
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - De-Shen Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Ji-Yang Chen
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Qiong Tan
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
| | - Yu-Hong Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
| | - Hong Yang
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
| |
Collapse
|
10
|
Peng YJ, Li YH, Du C, Guo YS, Song JT, Jia CY, Zhang X, Liu MJ, Wang ZM, Liu B, Yan SL, Yang YX, Tang XL, Lin GX, Li XY, Zhang Y, Yuan JH, Xu SK, Chen CD, Lu JH, Zou X, Wan CS, Hu QH. [The cases of tracing the source of patients infected with Omicron variant of SARS-CoV-2 based on wastewater-based epidemiology in Shenzhen]. Zhonghua Yi Xue Za Zhi 2024; 104:302-307. [PMID: 38246776 DOI: 10.3760/cma.j.cn112137-20231016-00766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Wastewater-based epidemiology (WBE) is an emerging discipline, which has been applied to drug abuse tracking and infectious disease pathogen surveillance. During the COVID-19 epidemic, WBE has been applied to monitor the epidemic trend and SARS-CoV-2 variants etc. In order to detect hidden COVID-19 cases and prevent transmission in the community, wastewater surveillance system for monitoring SARS-CoV-2 RNA was developed in Shenzhen. The sewage sampling sites were set up in key places such as the port areas, urban villages and residential communities of Futian, Nanshan, Luohu and Yantian districts. From July 26 to November 30, 2022, a total of 369 sewage sampling sites were set up, covering 1.93 million people. Continuous sampling was carried out for 3 hours in the peak period of water use every day. Sewage virus enrichment and SARS-CoV-2 nucleic acid detection were carried out by polyethylene glycol precipitation method and RT-qPCR, and a positive water sample disposal process was molded. This article aims to introduce the case of source tracing of COVID-19 infected patients based on urban sewage in Shenzhen. The sewage monitoring of Honghu water treatment plant in Luohu District played an early warning role, and the source of infection was traced. In the disposal of positive water samples in Futian South Road, Futian District, the important experience of monitoring point layout was obtained. In the sewage monitoring of Nanshan village, Nanshan District, the existence of occult infection was revealed. Sharing the experience of tracing the source of COVID-19 patients to avoid the spread of COVID-19 in the community based on wastewater surveillance of SARS-CoV-2 RNA in Shenzhen, and summarizing the advantages and application prospects of sewage surveillance can provide new ideas for monitoring emerging or re-emerging pathogens that are known to exhibit gastrointestinal excretion in the future.
Collapse
Affiliation(s)
- Y J Peng
- Biosafety Research Center, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Y H Li
- Microbiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - C Du
- Microbiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Y S Guo
- Division of Public Health Emergency, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - J T Song
- Water Ecology and Environment Division, Shenzhen Ecology and Environment Bureau, Shenzhen 518040, China
| | - C Y Jia
- Water Ecology and Environment Division, Shenzhen Ecology and Environment Bureau, Shenzhen 518040, China
| | - X Zhang
- Water Ecology and Environment Division, Shenzhen Ecology and Environment Bureau, Shenzhen 518040, China
| | - M J Liu
- Futian District Water Affairs Bureau, Shenzhen 518035, China
| | - Z M Wang
- Futian District Water Affairs Bureau, Shenzhen 518035, China
| | - B Liu
- Division of Water Supply and Drainage Management, Futian District Water Affairs Bureau, Shenzhen 518035, China
| | - S L Yan
- Division of Drainage and Disaster Prevention, Nanshan District Water Affairs Bureau, Shenzhen 518052, China
| | - Y X Yang
- Division of Drainage and Disaster Prevention, Nanshan District Water Affairs Bureau, Shenzhen 518052, China
| | - X L Tang
- Luohu Management Branch of Ecology Environment Bureau of Shenzhen Municipality, Shenzhen 518001, China
| | - G X Lin
- Division of Environmental Management, Luohu Management Branch of Ecology Environment Bureau of Shenzhen Municipality, Shenzhen 518001, China
| | - X Y Li
- Futian District Center for Disease Control and Prevention, Shenzhen 518040, China
| | - Y Zhang
- Department of Microbiological Laboratory, Futian District Center for Disease Control and Prevention, Shenzhen 518040, China
| | - J H Yuan
- Nanshan District Center for Disease Control and Prevention, Shenzhen 518054, China
| | - S K Xu
- Department of Infectious Disease Control and Prevention, Nanshan District Center for Disease Control and Prevention, Shenzhen 518054, China
| | - C D Chen
- Luohu District Center for Disease Control and Prevention, Shenzhen 518020, China
| | - J H Lu
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - X Zou
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - C S Wan
- Biosafety Research Center, School of Public Health, Southern Medical University, Guangzhou 510515, China BSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Q H Hu
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| |
Collapse
|
11
|
Zhuo YQ, Tu SF, Zhou X, Yang JL, Zhou LJ, Huang R, Huang YX, Li MF, Jin B, Wang B, Li SQ, Yuan ZT, Zhang LH, Liu L, Wang SB, Li YH. [Safety and efficacy of donor-derived chimeric antigen receptor T-cell therapy in patients with relapsed B-cell acute lymphoblastic leukemia after allogeneic hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2024; 45:74-81. [PMID: 38527842 DOI: 10.3760/cma.j.cn121090-20230815-00068] [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] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Objective: To investigated the safety and efficacy of donor-derived CD19+ or sequential CD19+ CD22+ chimeric antigen receptor T-cell (CAR-T) therapy in patients with B-cell acute lymphoblastic leukemia (B-ALL) after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Methods: The data of 22 patients with B-ALL who relapsed after allo-HSCT and who underwent donor-derived CAR-T therapy at the Zhujiang Hospital of Southern Medical University and the 920th Hospital of Joint Logistics Support Force of the People's Liberation Army of China from September 2015 to December 2022 were retrospectively analyzed. The primary endpoint was overall survival (OS), and the secondary endpoints were event-free survival (EFS), complete remission (CR) rate, and Grade 3-4 adverse events. Results: A total of 81.82% (n=18) of the 22 patients achieved minimal residual disease-negative CR after CAR-T infusion. The median follow-up time was 1037 (95% CI 546-1509) days, and the median OS and EFS were 287 (95% CI 132-441) days and 212 (95% CI 120-303) days, respectively. The 6-month OS and EFS rates were 67.90% (95% CI 48.30%-84.50%) and 58.70% (95% CI 37.92%-79.48%), respectively, and the 1-year OS and EFS rates were 41.10% (95% CI 19.15%-63.05%) and 34.30% (95% CI 13.92%-54.68%), respectively. Grade 1-2 cytokine release syndrome occurred in 36.36% (n=8) of the patients, and grade 3-4 occurred in 13.64% of the patients (n=3). Grade 2 and 4 graft-versus-host disease occurred in two patients. Conclusion: Donor-derived CAR-T therapy is safe and effective in patients with relapsed B-ALL after allo-HSCT.
Collapse
Affiliation(s)
- Y Q Zhuo
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - S F Tu
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - X Zhou
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - J L Yang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - L J Zhou
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - R Huang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - Y X Huang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - M F Li
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - B Jin
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - B Wang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| | - S Q Li
- Department of Hematology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming 650118, China
| | - Z T Yuan
- Department of Hematology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming 650118, China
| | - L H Zhang
- Department of Hematology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming 650118, China
| | - L Liu
- Department of Hematology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming 650118, China
| | - S B Wang
- Department of Hematology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming 650118, China
| | - Y H Li
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China
| |
Collapse
|
12
|
Huang ZY, Wen L, Ye LF, Lu YT, Pat Fong W, Zhang RJ, Wu SX, Chen ZG, Cai YY, Xu RH, Li YH, Du ZM, Wang DS. Clinical and molecular characteristics of RNF43 mutations as promising prognostic biomarkers in colorectal cancer. Ther Adv Med Oncol 2024; 16:17588359231220600. [PMID: 38205077 PMCID: PMC10777808 DOI: 10.1177/17588359231220600] [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: 04/05/2023] [Accepted: 11/21/2023] [Indexed: 01/12/2024] Open
Abstract
Background Transmembrane E3 ubiquitin ligase (RNF43) mutations are present in approximately 6-18% of colorectal cancers (CRC) and could enhance Wnt/β-catenin signaling, which is emerging as a promising therapeutic target. This study aims to investigate the clinical and molecular characteristics and potential heterogeneity of RNF43-mutant CRC. Methods A total of 78 patients with RNF43-mutant CRC were enrolled from July 2013 to November 2022. Demographic data, clinical characteristics, treatment regimens used, and survival outcomes were collected and analyzed. Results Our study uncovered that patients with RNF43 mutations in the N-terminal domain (NTD; n = 50) exhibited shorter overall survival (OS; median months, 50.80 versus not reached; p = 0.043) compared to those in the C-terminal domain (CTD; n = 17). Most RNF43 mutations in NTD had positive primary lymph node status, low tumor mutation burden (TMB-L), and correlated with proficient mismatch repair (pMMR)/microsatellite stable (MSS) status. By contrast, RNF43 mutations in CTD were significantly enriched in deficient MMR (dMMR)/microsatellite instability (MSI-H) tumors with high TMB (TMB-H). N-terminal RNF43-mutated tumors harbored a hotspot variant (RNF43 R117fs), which independently predicted a significantly worse outcome in pMMR/MSS CRC with a median OS of 18.9 months. Patients with RNF43 mutations and the BRAF V600E alterations demonstrated sensitivity to BRAF/EGFR inhibitors. Moreover, we observed that pMMR/MSS patients with RNF43 R117fs mutation had a higher incidence of stage IV, ⩾2 metastatic sites, low TMB, and none of them received PD-1/PD-L1 inhibitor therapy. Conclusion Our findings provide the first evidence that RNF43 mutations in NTD and the R117fs variant correlate with a poorer prognosis in CRC patients, providing strategies for Wnt-targeted therapy to improve clinical efficacy.
Collapse
Affiliation(s)
- Zi-Yao Huang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Lei Wen
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Liu-Fang Ye
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Yu-Ting Lu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - William Pat Fong
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Ren-Jing Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Si-Xian Wu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Zhi-Gang Chen
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Yan-Yu Cai
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Rui-Hua Xu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, P. R. China
| | - Yu-Hong Li
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, P. R. China
| | - Zi-Ming Du
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China
| | - De-Shen Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P. R. China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, P. R. China
| |
Collapse
|
13
|
Chen Y, Liang J, Li YH, Wang YJ. [Strategies and advances in laboratory tests for primary liver cancer]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:128-135. [PMID: 38228560 DOI: 10.3760/cma.j.cn112150-20230412-00288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Primary liver cancer is one of the leading causes of cancer-related deaths worldwide, its early diagnosis and early treatment are of great clinical importance. The main detection tools for liver cancer include serological indicators, imaging tests and risk assessment models. With the advancement of technology and research, the sensitivity and specificity of laboratory tests for liver cancer have been substantially improved, but there are still false negatives and low rates of early diagnosis. For different causes and prevalence regions, each country has developed its clinical practice guidelines to guide risk groups for effective prevention, early diagnosis and standardized treatment. It is important to establish a liver cancer diagnosis strategy that is suitable for China's national conditions, concerning the guidelines for the vigilance and prevention of liver cancer. In this article, the advantages and disadvantages of liver cancer-related tests and the impact of future development trends on laboratory strategies are explained from the perspective of laboratory testing strategies, to provide theoretical support for the practical application of liver cancer diagnostic strategies.
Collapse
Affiliation(s)
- Y Chen
- Department of Clinical Laboratory, Peking University Ditan Teaching Hospital, Beijing 100015, China
| | - J Liang
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Y H Li
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Y J Wang
- Department of Clinical Laboratory, Peking University Ditan Teaching Hospital, Beijing 100015, China Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| |
Collapse
|
14
|
Mao GM, Mo Z, Gu SM, Wang YY, Jiang YJ, Li YH, Li XQ, Chen ZJ, Wang XF, Lou XM, Liu CY. [Analysis of iodine nutritional status of children aged 8-10 years in Zhejiang Province from 2016 to 2021]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:11-17. [PMID: 38228544 DOI: 10.3760/cma.j.cn112150-20230707-00524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Objective: To analyze the iodine nutrition status of children aged 8 to 10 years in Zhejiang Province from 2016 to 2021. Methods: A multi-stage stratified sampling method was used to select non-residential children aged 8 to 10 years from 90 counties in Zhejiang Province. A total of 114 103 children were included in the study from 2016 to 2021. Direct titration method and arsenic-cerium catalytic spectrophotometry were used to detect salt iodine content and urinary iodine level, respectively, to evaluate the iodine nutritional status of children. Ultrasound was used to detect thyroid volume and analyze the current prevalence of goiter in school-age children. Results: The age of 114 103 children was (9.04 ± 0.81) years old, with 50.0% of (57 083) boys. The median of iodine content M (Q1, Q3) in children's household salt was 23.00 (19.80, 25.20) mg/kg, including 17 242 non-iodized salt, 6 173 unqualified iodized salt, and 90 688 qualified iodized salt. The coverage rate of iodized salt was 84.89%, and the coverage rate of qualified iodized salt was 79.48%. The proportion of non-iodized salt increased from 11.85% in 2016 to 16.04% in 2021 (χ2trend=111.427, P<0.001). The median of urinary iodine concentration M (Q1, Q3) in children was 182.50 (121.00, 261.00) μg/L, among which the proportions of iodine deficiency, iodine suitability, iodine over suitability, and iodine excess were 17.25% (19 686 cases), 39.21% (44 745 cases), 26.85% (30 638 cases), and 16.68% (19 034 cases), respectively. The median of urinary iodine concentration in children in inland areas [M (Q1, Q3): 190.90 (128.80, 269.00) μg/L] was significantly higher than that in children in coastal areas [M (Q1, Q3): 173.00 (113.00, 250.30) μg/L] (P<0.001). From 2016 to 2021, a total of 39 134 ultrasound examinations were conducted, and 1 229 cases of thyroid enlargement were detected. The goiter rate was 3.14% (95%CI: 2.97%-3.32%). The incidence of goiter in children in coastal areas [3.45% (95%CI: 3.19%-3.72%), 641/18 604] was higher than that in children in inland areas [2.86% (95%CI: 2.64%-3.10%), 588/20 530] (P=0.001). Conclusion: From 2016 to 2021, the iodine nutrition level of children aged 8-10 years in Zhejiang Province is generally suitable, and the rate of goiter in children meets the limit of iodine deficiency disease elimination standards.
Collapse
Affiliation(s)
- G M Mao
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Z Mo
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - S M Gu
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Y Wang
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y J Jiang
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y H Li
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - X Q Li
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Z J Chen
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - X F Wang
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - X M Lou
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - C Y Liu
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| |
Collapse
|
15
|
Li CX, Wang XH, Ma ZQ, Zhan YH, Shen LJ, Wang F, Li YH. [Prevalence of Helicobacter pylori infection and risk factors among family members in Qinghai Province, China]. Zhonghua Nei Ke Za Zhi 2024; 63:41-45. [PMID: 38186116 DOI: 10.3760/cma.j.cn112138-112138-20231028-00259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Objective: To investigate the prevalence of Helicobacter pylori infection among family members, and analyze associated risk factors. Methods: The current investigation was a cross-sectional study. The Qinghai region was stratified into urban areas, agricultural areas, and pastoral areas. The urban areas of Xining City, the agricultural areas of Haidong City, and the pastoral areas of Haibei Tibetan Autonomous Prefecture were selected. A total of 396 resident families (1 131 people) who underwent health checkups from 2021 to 2022 in the above areas were included in the survey study. Questionnaires were administered and H. pylori infection was detected using the 13C-urea breath test. Numerical data were expressed as cases and percentages, and the Chi-square test was used to compare differences in H. pylori infection rates in the populations and families in each group. Multifactorial logistic regression was used to analyze risk factors for H. pylori infection, and P<0.05 was considered statistically significant. Results: The prevalence of H. pylori infection in Qinghai province was 52.8% (597/1 131) and the prevalence of H. pylori infection in households was 80.6% (319/396). In H. pylori-positive households with at least 1 infected spouse, 40.4% (36/89) had only 1 infected spouse, and in 59.6% (53/89) both spouses were infected. In analysis of children infected by parents with H. pylori, 20.0% (9/45) of households had fathers and children infected, 48.9% (22/45) had mothers and children infected, and 31.1% (14/45) had both parents and children infected. In univariate analysis there was a statistically significant difference in the overall comparison of H. pylori infection rates among families with different numbers of people living together (χ2=11.12, P=0.004), and between-group comparisons suggested that H. pylori infection rates were higher in families with 4 or 5 people and more than 5 people living together than in families with 2 or 3 people living together. The H. pylori infection rate was higher in families that did not use serving chopsticks and spoons during family meals than in families that did use serving chopsticks and spoons (χ2=6.12, P=0.013). In multifactorial logistic regression analyses the number of people living together in a family and whether or not serving chopsticks and spoons were used at family meals were associated with H. pylori infection (P<0.05). Conclusion: The H. pylori infection rate in families in Qinghai Province is high, and there is a clear association with family aggregation. It is more common for both members of a couple to be infected, and H. pylori infection of a mother has a greater effect on the children's infection status than H. pylori infection of a father. The infection rate of H. pylori was lower in families that used serving chopsticks and spoons during dinner gatherings, and the fewer the number of people living together in the family, the lower the H. pylori infection rate.
Collapse
Affiliation(s)
- C X Li
- College of Clinical Medicine, Qinghai University, Xining 810016, China Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| | - X H Wang
- Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| | - Z Q Ma
- Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| | - Y H Zhan
- Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| | - L J Shen
- Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| | - F Wang
- Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| | - Y H Li
- Department of Gastroenterology, the Affiliated Hospital of Qinghai University, Xining 810012, China
| |
Collapse
|
16
|
Liu CL, Chen DJ, Chen CY, Zhou XH, Jiang Y, Liu JY, Chen YE, Hu CR, Dong JJ, Li P, Wen M, Li YH, Zhang HL. [Clinical analysis of 86 cases of acute fatty liver of pregnancy]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:896-902. [PMID: 38123195 DOI: 10.3760/cma.j.cn112141-20230814-00047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To investigate the clinical characteristics and maternal and fetal prognosis of pregnant women with acute fatty liver of pregnancy (AFLP). Methods: The clinical data of 86 AFLP pregnant women admitted to the Third Affiliated Hospital of Guangzhou Medical University from September 2017 to August 2022 were collected, and their general data, clinical characteristics, laboratory tests and maternal and fetal outcomes were retrospectively analyzed. Results: (1) General information: the age of the 86 pregnant women with AFLP was (30.8±5.4) years, and the body mass index was (21.0±2.5) kg/m2. There were 50 primiparas (58.1%, 50/86) and 36 multiparas (41.9%, 36/86). There were 64 singleton pregnancies (74.4%, 64/86) and 22 twin pregnancies (25.6%, 22/86). (2) Clinical characteristics: the main complaints of AFLP pregnant women were gastrointestinal symptoms, including epigastric pain (68.6%, 59/86), nausea (47.7%, 41/86), anorexia (46.5%, 40/86), vomiting (39.5%, 34/86). The main non-gastrointestinal symptoms were jaundice of skin and/or scleral (54.7%, 47/86), edema (38.4%, 33/86), fatigue (19.8%, 17/86), bleeding tendency (16.3%, 14/86), polydipsia or polyuria (14.0%, 12/86), skin itching (8.1%, 7/86), and 17.4% (15/86) AFLP pregnant women had no obvious symptoms. (3) Laboratory tests: the incidence of liver and kidney dysfunction and abnormal coagulation function in AFLP pregnant women was high, and the levels of blood ammonia, lactate dehydrogenase and lactic acid were increased, and the levels of hemoglobin, platelet and albumin decreased. However, only 24 cases (27.9%, 24/86) of AFLP pregnant women showed fatty liver by imageology examination. (4) Pregnancy outcomes: ① AFLP pregnant women had a high incidence of pregnancy complications, mainly including renal insufficiency (95.3%, 82/86), preterm birth (46.5%, 40/86), hypertensive disorders in pregnancy (30.2%, 26/86), gestational diabetes mellitus (36.0%, 31/86), fetal distress (24.4%, 21/86), pulmonary infection (23.3%, 20/86), disseminated intravascular coagulation (16.3%, 14/86), multiple organ dysfunction syndrome (16.3%, 14/86), hepatic encephalopathy (9.3%, 8/86), and intrauterine fetal death (2.3%, 2/86). ② Treatment and outcome of AFLP pregnant women: the intensive care unit transfer rate of AFLP pregnant women was 66.3% (57/86). 82 cases were improved and discharged after treatment, 2 cases were transferred to other hospitals for follow-up treatment, and 2 cases (2.3%, 2/86) died. ③ Neonatal outcomes: except for 2 cases of intrauterine death, a total of 106 neonates were delivered, including 39 cases (36.8%, 39/106) of neonatal asphyxia, 63 cases (59.4%, 63/106) of neonatal intensive care unit admission, and 3 cases (2.8%, 3/106) of neonatal death. Conclusions: AFLP is a severe obstetric complication, which is harmful to mother and fetus. In the process of clinical diagnosis and treatment, attention should be paid to the clinical manifestations and laboratory tests of pregnant women, early diagnosis and active treatment, so as to improve maternal and fetal outcomes.
Collapse
Affiliation(s)
- C L Liu
- Department of Obstetrics and Gynecology, the Third Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangzhou 510150, China
| | - D J Chen
- Department of Obstetrics and Gynecology, the Third Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangzhou 510150, China
| | - C Y Chen
- Department of Obstetrics and Gynecology, the Third Clinical College of Guangzhou Medical University, Guangzhou 511436, China
| | - X H Zhou
- Department of Obstetrics and Gynecology, the Third Clinical College of Guangzhou Medical University, Guangzhou 511436, China
| | - Y Jiang
- Department of Obstetrics and Gynecology, the Third Clinical College of Guangzhou Medical University, Guangzhou 511436, China
| | - J Y Liu
- Department of Obstetrics and Gynecology, the Third Clinical College of Guangzhou Medical University, Guangzhou 511436, China
| | - Y E Chen
- Department of Obstetrics and Gynecology, the Third Clinical College of Guangzhou Medical University, Guangzhou 511436, China
| | - C R Hu
- Department of Obstetrics and Gynecology, the Third Clinical College of Guangzhou Medical University, Guangzhou 511436, China
| | - J J Dong
- Department of Obstetrics and Gynecology, the Third Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangzhou 510150, China
| | - P Li
- Department of Obstetrics and Gynecology, the Maternal and Child Health Hospital of Hunan Province, Changsha 410028, China
| | - M Wen
- Department of Obstetrics and Gynecology, the Fourth People's Hospital of Guiyang, Guiyang 550007, China
| | - Y H Li
- Department of Obstetrics and Gynecology, the First People's Hospital of Yulin, Yulin 537000, China
| | - H L Zhang
- Department of Obstetrics and Gynecology, the Third Affiliated Hospital of Guangzhou Medical University, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangzhou 510150, China
| |
Collapse
|
17
|
Huang Y, Ge MX, Li YH, Li JL, Yu Q, Xiao FH, Ao HS, Yang LQ, Li J, He Y, Kong QP. Longevity-Associated Transcription Factor ATF7 Promotes Healthspan by Suppressing Cellular Senescence and Systematic Inflammation. Aging Dis 2023:AD.2022.1217. [PMID: 37163432 PMCID: PMC10389835 DOI: 10.14336/ad.2022.1217] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/17/2022] [Indexed: 05/12/2023] Open
Abstract
Aging is characterized by persistent low-grade systematic inflammation, which is largely responsible for the occurrence of various age-associated diseases. We and others have previously reported that long-lived people (such as centenarians) can delay the onset of or even escape certain major age-related diseases. Here, by screening blood transcriptome and inflammatory profiles, we found that long-lived individuals had a relatively lower inflammation level (IL6, TNFα), accompanied by up-regulation of activating transcription factor 7 (ATF7). Interestingly, ATF7 expression was gradually reduced during cellular senescence. Loss of ATF7 induced cellular senescence, while overexpression delayed senescence progress and senescence-associated secretory phenotype (SASP) secretion. We showed that the anti-senescence effects of ATF7 were achieved by inhibiting nuclear factor kappa B (NF-κB) signaling and increasing histone H3K9 dimethylation (H3K9me2). In Caenorhabditis elegans, ATF7 overexpression significantly suppressed aging biomarkers and extended lifespan. Our findings suggest that ATF7 is a longevity-promoting factor that lowers cellular senescence and inflammation in long-lived individuals.
Collapse
Affiliation(s)
- Yaqun Huang
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Department of Dermatology/National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410000, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China
| | - Ming-Xia Ge
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Yu-Hong Li
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jing-Lin Li
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Department of Dermatology/National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410000, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China
| | - Qin Yu
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Fu-Hui Xiao
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Hong-Shun Ao
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Beijing, China
| | - Li-Qin Yang
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Ji Li
- Department of Dermatology/National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410000, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China
| | - Yonghan He
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Qing-Peng Kong
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| |
Collapse
|
18
|
Peng HZ, Li J, Li YH, Xu YQ, Peng JQ, Xie XB. [Research progress of common respiratory virus receptor binding sites]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:2212-2219. [PMID: 38186178 DOI: 10.3760/cma.j.cn112150-20230911-00175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Respiratory viral infections are an important public health problem worldwide, with complex mechanisms of infection, and the key to infection lies in the specific binding between respiratory viruses and receptors. This article provides an overview of the progress in the study of receptors for respiratory viruses, such as coronavirus and influenza virus (IV), with a focus on the binding sites of receptors such as angiotensin-converting enzyme 2 (ACE2) and sialic acid (SA) to respiratory viruses and the role of receptor diversity in respiratory viral infections. An in-depth study of the binding sites between viruses and receptors will help to understand the molecular mechanism of respiratory viral infections and provide a theoretical basis for disease prevention and control and the development of new therapeutic targets.
Collapse
Affiliation(s)
- H Z Peng
- Department of Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - J Li
- Department of Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - Y H Li
- Department of Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - Y Q Xu
- Department of Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - J Q Peng
- Department of Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - X B Xie
- Department of Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| |
Collapse
|
19
|
Lei W, Chen CY, Zhou FJ, Ma YL, Li YH, Zhang H. Tanshinol alleviates ischemia-induced myocardial fibrosis via targeting ERK2 and disturbing the intermolecular autophosphorylation of ERK2 Thr188. Biomed Pharmacother 2023; 168:115729. [PMID: 37862964 DOI: 10.1016/j.biopha.2023.115729] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 10/22/2023] Open
Abstract
Myocardial fibrosis is the fundamental remodeling process in myocardial ischemia (MI) and also the major contributor of heart failure and death. Tanshinol (Danshensu in Chinese, DSS), a major ingredient of salvia mitiorrhiza Bunge (Lamiaceae) root, exerted significant cardio protection effects. In this study, we aimed to identify the action target and then uncover the mechanism of DSS alleviating myocardial fibrosis. The pharmacological activities of DSS protecting ischemic cardiac was assessed and the myocardial proteomics was carried out. To identify the target of DSS, a cellular thermal shift assay combined with LC-MS identification was conducted. Surface plasmon resonance assay, molecular dynamics simulation and pharmacological and molecular biology approaches were adopted to explore the action mechanisms of DSS. Our results revealed that DSS effectively alleviated MI-induced left ventricle dysfunctions and the increasements of circulating myocardial markers. Besides, DSS significantly reversed the proteomic profile related to myocardial fibrotic processes and the ERK2 was identified as a crucial cellular target of DSS. DSS abated the temperature-dependent denaturation of ERK2 in a dose-dependent manner and the KD value of DSS and ERK2 was 60.19 μM. After Ang II stimulation, DSS suppressed the phosphorylation of Thr188 rather than the classic residues in TEY motif. DSS interfered the ERK2 homo-dimerization and then blocked the intermolecular autophosphorylation at Thr188 site. Thereout, DSS inhibited the nuclear translocation of ERK2 and the expression of downstream fibrotic biomolecules. Collectively, our results demonstrated that DSS targeted ERK2 and suppressed the intermolecular autophosphorylation at Thr188 residue, thus protecting ischemic myocardia from fibrosis remodeling.
Collapse
Affiliation(s)
- Wei Lei
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District,Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Chun-Yan Chen
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District,Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Feng-Jie Zhou
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District,Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yao-Lei Ma
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District,Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yu-Hong Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District,Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Han Zhang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District,Tianjin 301617, China; Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| |
Collapse
|
20
|
Zhang R, Yang Y, Hu C, Huang M, Cen W, Ling D, Long Y, Yang XH, Xu B, Peng J, Wang S, Zhu W, Wei M, Yang J, Xu Y, Zhang X, Ma J, Wang F, Zhang H, Ma P, Zhu X, Song G, Sun LY, Wang DS, Wang FH, Li YH, Santagata S, Li Q, Feng YF, Du Z. Comprehensive analysis reveals potential therapeutic targets and an integrated risk stratification model for solitary fibrous tumors. Nat Commun 2023; 14:7479. [PMID: 37980418 PMCID: PMC10657378 DOI: 10.1038/s41467-023-43249-4] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 11/03/2023] [Indexed: 11/20/2023] Open
Abstract
Solitary fibrous tumors (SFTs) are rare mesenchymal tumors with unpredictable evolution and with a recurrence or metastasis rate of 10-40%. Current medical treatments for relapsed SFTs remain ineffective. Here, we identify potential therapeutic targets and risk factors, including IDH1 p.R132S, high PD-L1 expression, and predominant macrophage infiltration, suggesting the potential benefits of combinational immune therapy and targeted therapy for SFTs. An integrated risk model incorporating mitotic count, density of Ki-67+ cells and CD163+ cells, MTOR mutation is developed, applying a discovery cohort of 101 primary non-CNS patients with negative tumor margins (NTM) and validated in three independent cohorts of 210 SFTs with the same criteria, and in 36 primary CNS SFTs with NTM. Compared with the existing models, our model shows significantly improved efficacy in identifying high-risk primary non-CNS and CNS SFTs with NTM for tumor progression.Our findings hold promise for advancing therapeutic strategies and refining risk prediction in SFTs.
Collapse
Affiliation(s)
- Renjing Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yang Yang
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China
| | - Chunfang Hu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Mayan Huang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Wenjian Cen
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Dongyi Ling
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yakang Long
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xin-Hua Yang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Boheng Xu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Junling Peng
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Sujie Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Weijie Zhu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Mingbiao Wei
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jiaojiao Yang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yuxia Xu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xu Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jiangjun Ma
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Fang Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Hongtu Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Peiqing Ma
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiaojun Zhu
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Guohui Song
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Li-Yue Sun
- Second Department of Oncology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China
| | - De-Shen Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Feng-Hua Wang
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yu-Hong Li
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Sandro Santagata
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Qin Li
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong-Hong Kong Joint Laboratory for RNA Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
- Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
| | - Yan-Fen Feng
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Ziming Du
- State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| |
Collapse
|
21
|
Zhang L, Huang J, Dai L, Zhu G, Yang XL, He Z, Li YH, Yang H, Zhang CQ, Shen KF, Liang P. Expression profiles of α-synuclein in cortical lesions of patients with FCD IIb and TSC, and FCD rats. Front Neurol 2023; 14:1255097. [PMID: 38020594 PMCID: PMC10662349 DOI: 10.3389/fneur.2023.1255097] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 10/06/2023] [Indexed: 12/01/2023] Open
Abstract
Background Focal cortical dysplasia (FCD) IIb and tuberous sclerosis complex (TSC) are common causes of drug-resistant epilepsy in children. However, the etiologies related to the development of FCD IIb and TSC are not fully understood. α-synuclein (α-syn) is a member of synucleins family that plays crucial roles in modulating synaptic transmission in central nervous system. Here, we explored the expression profiles and potential pathogenic functions of α-syn in cortical lesions of epileptic patients with FCD IIb and TSC. Methods Surgical specimens from epileptic patients with FCD IIb and TSC, as well as FCD rats generated by in utero X-ray-radiation were adopted in this study and studied with immunohistochemistry, immunofluorescence, western blotting, and co-immunoprecipitation etc. molecular biological techniques. Result Our results showed that α-syn expression was reduced in FCD IIb and TSC lesions. Specifically, α-syn protein was intensely expressed in dysplastic neurons (DNs) and balloon cells (BCs) in FCD IIb lesions, whereas was barely detected in DNs and giant cells (GCs) of TSC lesions. Additionally, p-α-syn, the aggregated form of α-syn, was detected in DNs, BCs, GCs, and glia-like cells of FCD IIb and TSC lesions. We previous showed that the function of N-methyl-D-aspartate receptor (NMDAR) was enhanced in FCD rats generated by X-ray-radiation. Here, we found the interaction between α-syn and NMDAR subunits NMDAR2A, NMDAR2B were augmented in cortical lesions of FCD patients and FCD rats. Conclusion These results suggested a potential role of α-syn in the pathogenesis of FCD IIb and TSC by interfering with NMDAR.
Collapse
Affiliation(s)
- Li Zhang
- Department of Neurosurgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Jun Huang
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Lu Dai
- Chongqing Institute for Brain and Intelligence, Guang Yang Bay Laboratory, Chongqing, China
| | - Gang Zhu
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Xiao-Lin Yang
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Zeng He
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Yu-Hong Li
- Department of Cell Biology, Basic Medical College, Army Medical University, Chongqing, China
| | - Hui Yang
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
- Chongqing Institute for Brain and Intelligence, Guang Yang Bay Laboratory, Chongqing, China
| | - Chun-Qing Zhang
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Kai-Feng Shen
- Department of Neurosurgery, Epilepsy Research Center of PLA, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Ping Liang
- Department of Neurosurgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| |
Collapse
|
22
|
Kuai YX, Li M, Jiang Z, Chen J, Bai ZJ, Li XZ, Lu GP, Li YH. [Comparison of diagnostic criteria for acute kidney injury in critically ill children]. Zhonghua Er Ke Za Zhi 2023; 61:1011-1017. [PMID: 37899340 DOI: 10.3760/cma.j.cn112140-20230623-00418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Objective: The kidney disease: improving global outcome (KDIGO) and pediatric reference change value optimized for acute kidney injury (pROCK) criteria were used to evaluate the incidence, stages and mortality of acute kidney injury (AKI). The differences between the 2 criteria were compared for exploring the value of pROCK criteria in diagnosing pediatric AKI and predicting adverse outcomes. Methods: In the multicenter prospective clinical cohort study, we collected general data and clinical data such as serum creatinine values from 1 120 children admitted to 4 PICUs of Children's Hospital of Soochow University, Children's Hospital of Fudan University, Anhui Provincial Children's Hospital, and Xuzhou Children's Hospital from September 2019 to February 2021. AKI was defined and staged according to the KDIGO and pROCK criteria. The incidence of AKI, the consistency of AKI definite diagnosis and stages, and the mortality in PICU were compared between the 2 groups. The chi-square test or Fisher's exact test was applied for comparison between 2 groups. The Cohen's Kappa and Weighted Kappa analyses were used for evaluating diagnostic consistency. The Cox regression analysis was used to evaluate the correlation between AKI and mortality. Results: A total of 1 120 critically ill children were included, with an age of 33 (10, 84) months. There are 668 boys and 452 girls. The incidence of AKI defined by the KDIGO guideline was higher than that defined by pROCK criteria (27.2%(305/1 120), 14.7%(165/1 120), χ2=52.78, P<0.001). The concordance rates of the 2 criteria for the diagnosis of AKI and AKI staging were 87.0% (κ=0.62) and 79.7% (κ=0.58), respectively. Totally 63 infants with AKI stage 1 defined by the KDIGO guideline were redefined as non-AKI by following the pROCK criteria. The PICU mortality rate of these infants was similar to patients without AKI defined by KDIGO guideline(P=0.761). After adjusting for confounders, AKI defined by KDIGO or pROCK criteria was an independent risk factor of death in PICU (AHR=2.04, 2.73,95%CI 1.27-3.29, 1.74-4.28, both P<0.01), and the risk of death was higher when using the pROCK compared with the KDIGO criteria. As for the KDIGO criteria, mild AKI was not associated with the mortality in PICU (P=0.702), while severe AKI was associated with increased mortality (P<0.001). As for the pROCK criteria, both mild and severe AKI were risk factors of PICU death in children (HR=3.51, 6.70, 95%CI 1.94-6.34, 4.30-10.44, both P<0.001). In addition, The AKI severity was positively associated with the mortality. Conclusions: The AKI incidence and staging varied depending on the used diagnostic criteria. The KDIGO definition is more sensitive, while the pROCK-defined AKI is more strongly associated with high mortality rate.
Collapse
Affiliation(s)
- Y X Kuai
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - M Li
- Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei 230002, China
| | - Z Jiang
- Pediatric Intensive Care Unit, Xuzhou Children's Hospital, Xuzhou 221002, China
| | - J Chen
- Pediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou 215000, China
| | - Z J Bai
- Pediatric Intensive Care Unit, Children's Hospital of Soochow University, Suzhou 215000, China
| | - X Z Li
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| | - G P Lu
- Pediatric Intensive Care Unit, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Y H Li
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou 215000, China
| |
Collapse
|
23
|
Yang SS, Zhao YY, Luo ZJ, He C, Li YH. [Clinical characteristics and analysis of risk factors for heart injuries in 55 patients with lightning injury on plateau in Tibet Autonomous Region]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:968-976. [PMID: 37899563 DOI: 10.3760/cma.j.cn501225-20230413-00124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Objective: To explore the clinical characteristics and treatment outcomes of patients with lightning injury on plateau in Tibet Autonomous Region, and to analyze the risk factors for heart injuries in these patients. Methods: A retrospective case series study was conducted. From January 2008 to July 2023, 55 patients with lightning injury who met the inclusion criteria were admitted to the General Hospital of PLA Tibet Military Area Command. The gender, age, ethnicity, time of injury, location of injury (average altitude), activity at the time of injury, the occurrence of thermal burns on the body surface, the occurrence of complication, the occurrence of combined injury, underlying disease or physiological process before injury, length of hospital stay, treatment outcome, and effective rate of treatment were recorded. The patients were divided into juvenile group (11 cases), young group (28 cases), middle-aged group (14 cases), and elderly group (2 cases) according to age bracket, then the gender and ethnicity distribution of patients in the 4 groups were compared. According to the occurrence of heart injuries at admission, the patients were divided into heart injury group (44 cases) and non-heart injury group (11 cases), then the gender, age, ethnicity, average altitude of location of injury, length of hospital stay, the occurrence of complication, the occurrence of combined injury, site of thermal burns on the body surface, and area of thermal burns on the body surface in patients were compared between the two groups. Data were statistically analyzed with Mann-Whitney U test, chi-square test, or Fisher's exact probability test. The multivariate logistic regression analysis was conducted to screen the independent risk factors for heart injury in patients with lightning injury. Results: Among the 55 patients aged 10-68 years, 39 were male and 16 were female, including 47 Tibetans and 8 Hans. There were no statistically significant differences in gender or ethnicity distribution of patients among the 4 groups with different age brackets (P>0.05). Lightning injuries occurred from May to September, which mostly occurred in June and July. The incidence of lightning injury was higher in Chengguan District of Lhasa City (average altitude of 3 650 m) and Baqing County of Naqu City (average altitude of 4 500 m), being 20.0% (11/55) and 16.4% (9/55), respectively. A total of 96.4% (53/55) of the patients were engaged in outdoor activities when injured, such as grazing, digging Cordyceps, and harvesting highland barley. Among the 55 patients, 46 (83.6%) cases had thermal burns on the body surface, with burn area mainly being not more than 10% total body surface area and burn depth mainly being deep partial-thickness. Fifty-two (94.5%) patients had complications, with heart injury being the most common complication (44 cases, 80.0%). Twenty-two (40.0%) patients had 11 combined injuries, and traumatic brain injury was the most common combined injury. Seventeen (30.9%) patients had 11 underlying diseases or physiological processes before injury. The length of hospital stay of patients was 9 (5, 17) d. Among the 55 patients, 14 cases were cured and discharged, 40 cases were improved, and 1 case died, with effective rate of treatment of 98.2%. Compared with those in non-heart injury group, the proportion of complication occurrence (χ2=12.28), the proportion of trunk burns (χ2=5.15), and the average altitude of location of injury (Z=-2.38) of patients in heart injury group were increased significantly (P<0.05), while there were no significant changes in the other indicators (P>0.05). Multivariate logistic regression analysis showed that the average altitude at the location of injury was the independent risk factor for heart injury in patients with lightning injury (with odds ratio of 3.28, 95% confidence interval of 1.35-7.99, P<0.05). Conclusions: Lightning injuries on plateau in Tibet Autonomous Region mainly occur from May to September, with an average altitude of 4 500 m at the location of injury. Patients with lightning injury are injured when participating outdoor activities, and the affected patients are mainly mainly young male Tibetans. Most of the injuries are mild burns. Lightning injuries are complex and have many complications, with heart injury being the most common one. The average altitude at the location of injury is the independent risk factor for heart injury in patients with lightning injury.
Collapse
Affiliation(s)
- S S Yang
- Department of Burns, the General Hospital of PLA Tibet Military Area Command, Lhasa 850007, China
| | - Y Y Zhao
- Faculty of Medicine, Tibet University, Lhasa 850033, China
| | - Z J Luo
- Department of Burns, the General Hospital of PLA Tibet Military Area Command, Lhasa 850007, China
| | - C He
- Department of Burns, the General Hospital of PLA Tibet Military Area Command, Lhasa 850007, China
| | - Y H Li
- Department of Burns, the General Hospital of PLA Tibet Military Area Command, Lhasa 850007, China
| |
Collapse
|
24
|
Su YW, Li YH, Wang JY, Zhang Y, Zhou LL, Wang Z. [Effects of electric welding on hearing loss and respiratory damage]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:832-837. [PMID: 37935549 DOI: 10.3760/cma.j.cn121094-20221009-00477] [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] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Objective: To investigate the occupational health status of electric welding workers and explore the effects of electric welding on hearing loss and respiratory damage. Methods: From August to December 2021, the cluster sampling method was used to select workers from an automobile manufacturer in Guangzhou City as research subjects: 636 welding workers in the welding workshop as the welding group, 757 assembly workers in the engine workshop and the final assembly workshop exposed to pure noise as the assembly group. Occupational disease hazard factors were detected for welding positions and assembly positions, and occupational health examination was carried out for research subjects. The occupational health status, the trends of hearing loss and respiratory abnormalities with working age were compared and analyzed between the two groups. Binary logistic regression was used to analyze the association between hearing loss and respiratory abnormalities in welding workers. Results: The excess rates of welding fumes, manganese and its compounds in the welding position were both 9.68% (3/31). Its noise exposure intensity [ (85.36±2.68) dB (A) ] and excess rate [48.39% (15/31) ] were not significantly different from those in the assembly position [ (84.86±3.28) dB (A) and 43.24% (16/37) ] (P>0.05). The results of the occupational health examination showed that the detection rates of hearing loss, digital radiography (DR) chest X-ray abnormality, alanine aminotransferase abnormality, deazelaic aminotransferase abnormality and white blood cell count abnormality of workers in the welding group were higher than those in the assembly group (P<0.05). The detection rates of hearing loss, DR chest X-ray abnormality, pulmonary ventilation abnormality in the welding group and the detection rate of hearing loss in the assembly group increased with the working age of the workers (P<0.05). The hearing loss detection rate and DR chest X-ray abnormality detection rate of the workers with ≥9 years working age in the welding group were both higher than those in the assembly group workers with same working age (P<0.05). The binary logistic regression analysis showed that abnormal pulmonary ventilation and abnormal DR chest X-ray were the risk factors for hearing loss in welding workers (OR=10.83, 95%CI: 7.31-16.06; OR=16.59, 95%CI: 5.72-48.10; P<0.05) . Conclusion: Hearing loss and respiratory damage are prominent problems among welding workers, and the detection rates of abnormality increase with the working age of the workers. Hearing loss in welding workers is associated with abnormal pulmonary ventilation and abnormal DR chest X-ray.
Collapse
Affiliation(s)
- Y W Su
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Y H Li
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - J Y Wang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Y Zhang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - L L Zhou
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| | - Z Wang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China
| |
Collapse
|
25
|
Tan LW, Wan JL, Zhu CH, Xu H, Xia ZK, Chen LZ, Wu XC, Wang F, Liu XR, Zhao CG, Li XZ, Mao JH, Wang XW, Huang WY, Li YH, Zhang JJ, Feng SP, Yang J, Liu JJ, Gao CL, Rong LP, Shuai LJ, Xu K, Zhang HJ, Li Q, Zhang AH, Wang M. Risk factors for renal outcomes in children with antineutrophil cytoplasmic antibody-associated vasculitis: a nationwide retrospective study in China. World J Pediatr 2023:10.1007/s12519-023-00753-3. [PMID: 37853276 DOI: 10.1007/s12519-023-00753-3] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/31/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND Pediatric antineutrophil cytoplasmic antibody-associated vasculitis (AAV) is a life-threatening systemic vasculitis featured by liability to renal involvement. However, there are few studies on the risk factors and predictive models for renal outcomes of AAV in children. METHODS Data from 179 AAV children in multiple centers between January 2012 and March 2020 were collected retrospectively. The risk factors and predictive model of end-stage renal disease (ESRD) in AAV were explored. RESULTS Renal involvement was the most typical manifestation (95.5%), and the crescent was the predominant pathological lesion (84.9%). The estimated glomerular filtration rate (eGFR) was evaluated in 114 patients, of whom 59.6% developed ESRD, and the median time to ESRD was 3.20 months. The eGFR [P = 0.006, odds ratio (OR) = 0.955, 95% confidence interval (CI) = 0.924-0.987] and the percentages of global glomerulosclerosis (pGGS; P = 0.018, OR = 1.060, 95% CI = 1.010-1.112) were independent risk factors for ESRD of renal biopsy. Based on the pGGS and eGFR at renal biopsy, we developed three risk grades of ESRD and one predictive model. The Kaplan‒Meier curve indicated that renal outcomes were significantly different in different risk grades (P < 0.001). Compared with serum creatinine at baseline, the predictive model had higher accuracy (0.86 versus 0.58, P < 0.001) and a lower coefficient of variation (0.07 versus 0.92) in external validation. CONCLUSIONS Renal involvement is the most common manifestation of pediatric AAV in China, of which more than half deteriorates into ESRD. The predictive model based on eGFR at renal biopsy and the pGGS may be stable and accurate in speculating the risk of ESRD in AAV children. Supplementary file 2 (MP4 18937 KB).
Collapse
Affiliation(s)
- Li-Wen Tan
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Zhongshan 2nd Rd.136, Chongqing, 400014, China
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Jun-Li Wan
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Zhongshan 2nd Rd.136, Chongqing, 400014, China
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Chun-Hua Zhu
- Department of Nephrology, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, National Paediatric Medical Center of China, Shanghai, China
| | - Zheng-Kun Xia
- Department of Pediatrics, Jinling Hospital, Nanjing Medical University, Nanjing, China
- Department of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China
- Department of Pediatrics, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Li-Zhi Chen
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xiao-Chuan Wu
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Fang Wang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Xiao-Rong Liu
- Department of Nephrology, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
- National Center for Children's Health, Beijing, China
| | - Cheng-Guang Zhao
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Zhong Li
- Department of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, China
| | - Jian-Hua Mao
- Department of Nephrology, Children Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao-Wen Wang
- Department of Nephrology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Wen-Yan Huang
- Department of Nephrology and Rheumatology, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yu-Hong Li
- Pediatric Nephrology Department, Guiyang Maternal & Child Health Care Hospital, Guiyang, China
| | - Jian-Jiang Zhang
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shi-Pin Feng
- Department of Nephrology, Chengdu Women and Children Central Hospital, Chengdu, 610041, China
| | - Jun Yang
- Department of Rheumatology and Immunology, Shenzhen Children's Hospital, Shenzhen, China
| | - Jiao-Jiao Liu
- Department of Nephrology, Children's Hospital of Fudan University, National Paediatric Medical Center of China, Shanghai, China
| | - Chun-Lin Gao
- Department of Pediatrics, Jinling Hospital, Nanjing Medical University, Nanjing, China
- Department of Pediatrics, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China
- Department of Pediatrics, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Li-Ping Rong
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Lan-Jun Shuai
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ke Xu
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - He-Jia Zhang
- Department of Nephrology, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
- National Center for Children's Health, Beijing, China
| | - Qiu Li
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Zhongshan 2nd Rd.136, Chongqing, 400014, China
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Ai-Hua Zhang
- Department of Nephrology, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China.
| | - Mo Wang
- Department of Nephrology, Children's Hospital of Chongqing Medical University, Zhongshan 2nd Rd.136, Chongqing, 400014, China.
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
- Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing, China.
| |
Collapse
|
26
|
Yang JW, Tang CH, Dai M, Duan J, Li YH, Yang J, Yang T, Gao Y, Ban D, Zhu JC, Yuan TY, Li Y, Fu HM. [Clinical characteristics of children with SARS-CoV-2 Omicron variant infection in Kunming]. Zhonghua Er Ke Za Zhi 2023; 61:922-927. [PMID: 37803860 DOI: 10.3760/cma.j.cn112140-20230712-00448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Objective: To investigate the clinical characteristics of hospitalized children infected with the Omicron variant in Kunming after the withdrawal of non-pharmaceutical interventions (NPI) and analyze the risk factors of severe cases. Methods: Clinical data was retrospectively collected from 1 145 children with SARS-CoV-2 Omicron infection who were hospitalized in six tertiary grade A hospitals in Kunming from December 10th, 2022 to January 9th, 2023. According to clinical severity, these patients were divided into the general and severe SARS-CoV-2 groups, and their clinical and laboratory data were compared. Between-group comparison was performed using t-test, chi-square test and Mann-Whitney U test. Spearman correlation test and multivariate Logistic regression analysis were used to determine the risk factors of severe illness. Results: A total of 1 145 hospitalized patients were included, of whom 677 were male and 468 female. The age of these patients at visit was 1.7 (0.5, 4.1) years. Specifically, there were 758 patients (66.2%) aged ≤3 years at visit and 387 patients (33.8%) aged >3 years. Of these children, 89 cases (7.8%) had underline diseases and the remaining 1 056 cases (92.2%) had no combined diseases. Additionally, of all the patients, 319 cases (27.9%) were vaccinated with one or two doses of SARS-CoV-2 vaccine, 748 cases (65.3%) had acute upper respiratory tract infection (AURTI), and six cases died (0.5%). A total of 1 051 cases (91.8%) were grouped into general SARS-CoV-2 group and 94 cases (8.2%) were grouped into severe SARS-CoV-2 group. Compared with the general cases, the severe cases showed a lower rate of SARS-CoV-2 vaccination and younger median age, lower lymphocyte count, as well as proportions of CD8+T lymphocyte (36 cases (38.3%) vs. 283 cases (26.9%), 0.5 (2.6, 8.0) vs. 1.6 (0.5, 3.9) years, 1.3 (1.0, 2.7) ×109 vs. 2.7 (1.3,4.4)×109/L, 0.17 (0.12, 0.24) vs. 0.21 (0.15, 0.16), respectively, χ2=4.88, Z=-2.21,-5.03,-2.53, all P<0.05). On the other hand, the length of hospital stay, proportion of underline diseases, ALT, AST, creatine kinase isoenzyme, and troponin T were higher in the severe group compared to those in the general group ((11.6±5.9) vs. (5.3±1.8) d, 41 cases (43.6%) vs. 48 cases (4.6%), 67 (26,120) vs. 20 (15, 32) U/L, 51 (33, 123) vs. 44 (34, 58) U/L、56.9 (23.0, 219.3) vs. 3.6 (1.9, 17.9) U/L, 12.0 (4.9, 56.5) vs. 3.0 (3.0, 7.0) ×10-3 pg/L,respectively, t=-20.43, χ2=183.52, Z=-9.14,-3.12,-6.38,-3.81, all P<0.05). Multivariate regression analysis indicated that increased leukocyte count (OR=1.88, 95%CI 1.18-2.97, P<0.01), CRP (OR=1.18, 95%CI 1.06-1.31, P<0.01), ferritin (OR=1.01, 95%CI 1.00-1.00, P<0.01), interleukin (IL)-6 (OR=1.05, 95%CI 1.01-1.08, P=0.012), D-dimer (OR=2.56, 95%CI 1.44-4.56, P<0.01) and decreased CD4+T lymphocyte (OR=0.84, 95%CI 0.73-0.98, P=0.030) were independently associated with the risk of severe SARS-CoV-2 in hospitalized children with Omicron infection. Conclusions: After the withdrawal of NPI, the pediatric inpatients with Omicron infection in Kunming were predominantly children younger than 3 years of age, and mainly manifested as AURTI with relatively low rate of severe SARS-CoV-2 infection and mortality. Elevated leukocyte counts, CRP, ferritin, IL-6, D-dimer, and decreased CD4+T lymphocytes are significant risk factors for developing severe SARS-CoV-2 infection.
Collapse
Affiliation(s)
- J W Yang
- Department of Respiratory and Critical Care Medicine, Kunming Children's Hospital, Yunnan Provincial Key Laboratory of Children's Major Diseases Research, Kunming 650034, China
| | - C H Tang
- Department of Pediatrics, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - M Dai
- Department of Pediatrics, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - J Duan
- Department of Pediatrics, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Y H Li
- Department of Pediatrics, the Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
| | - J Yang
- Department of Respiratory and Critical Care Medicine, Kunming Children's Hospital, Yunnan Provincial Key Laboratory of Children's Major Diseases Research, Kunming 650034, China
| | - T Yang
- Department of Pediatrics, Yan'an Hospital of Kunming, Kunming 650051, China
| | - Y Gao
- Department of Pediatrics, the People's Hospital of Anning City, Kunming 650300, China
| | - D Ban
- Department of Respiratory and Critical Care Medicine, Kunming Children's Hospital, Yunnan Provincial Key Laboratory of Children's Major Diseases Research, Kunming 650034, China
| | - J C Zhu
- Department of Pediatrics, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - T Y Yuan
- Department of Respiratory and Critical Care Medicine, Kunming Children's Hospital, Yunnan Provincial Key Laboratory of Children's Major Diseases Research, Kunming 650034, China
| | - Y Li
- Department of Respiratory and Critical Care Medicine, Kunming Children's Hospital, Yunnan Provincial Key Laboratory of Children's Major Diseases Research, Kunming 650034, China
| | - H M Fu
- Department of Respiratory and Critical Care Medicine, Kunming Children's Hospital, Yunnan Provincial Key Laboratory of Children's Major Diseases Research, Kunming 650034, China
| |
Collapse
|
27
|
Wang Q, Li YL, Yin YL, Hu B, Yu CC, Wang ZD, Li YH, Xu CJ, Wang YB. Association of air pollutants and meteorological factors with tuberculosis: a national multicenter ecological study in China. Int J Biometeorol 2023; 67:1629-1641. [PMID: 37535117 DOI: 10.1007/s00484-023-02524-1] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 08/04/2023]
Abstract
The impact of weather variability and air pollutants on tuberculosis (TB) has been a research hotspot. Previous studies have mostly been limited to a certain area or with a small sample size of cases, and multi-scale systematic studies are lacking. In this study, 14,816,329 TB cases were collected from 31 provinces in China between 2004 and 2018 to estimate the association between TB risk and meteorological factors and air pollutants using a two-stage time-series analysis. The impact and lagged time of meteorological factors and air pollutants on TB risk varied greatly in different provinces and regions. Overall cumulative exposure-response summary associations across 31 provinces suggested that high monthly mean relative humidity (RH) (66.8-82.4%, percentile56-100 (P56-100)), rainfall (316.5-331.1 mm, P96-100), PM2.5 exposure concentration (93.3-145.0 μg/m3, P58-100), and low monthly mean wind speed (1.6-2.1 m/s, P0-38) increased the risk of TB incidence, with a relative risk (RR) of 1.10 (95% CI: 1.04-1.16), 1.10 (95% CI: 1.03-1.16), 2.08 (95% CI: 1.18-3.65), and 2.06 (95% CI: 1.27-3.33), and attributable risk percent (AR%) of 9%, 9%, 52%, and 51%, respectively. Conversely, high monthly average wind speed (2.3-2.9 m/s, P54-100) and mean temperature (20.2-25.3 °C, P79-96), and low monthly average rainfall (2.4-25.2 mm, P0-7) and concentration of SO2 (8.1-21.2 μg/m3, P0-16) exposure decreased the risk of TB incidence, with an overall cumulative RR of 0.92 (95% CI: 0.87-0.98), 0.74 (95% CI: 0.59-0.94), 0.87 (95% CI: 0.79-0.95), and 0.72 (95% CI: 0.56-0.93), respectively. Our study provided insights into future planning of public health interventions for TB.
Collapse
Affiliation(s)
- Qian Wang
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Yan-Lin Li
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Ya-Ling Yin
- Sino-UK Joint Laboratory of Brain Function and Injury of Henan Province, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Bin Hu
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Chong-Chong Yu
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China
| | - Zhen-de Wang
- School of Public Health, Weifang Medical University, Shandong Province, Weifang, 261053, China
- National Center for Tuberculosis Control and Prevention, China Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yu-Hong Li
- National Center for Tuberculosis Control and Prevention, China Center for Disease Control and Prevention, Beijing, 102206, China
| | - Chun-Jie Xu
- Institute of Medical Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical Sciences, Beijing, 100730, China.
| | - Yong-Bin Wang
- School of Public Health, Xinxiang Medical University, Henan Province, Xinxiang, 453003, China.
| |
Collapse
|
28
|
Li P, Wu Y, Xie Y, Chen F, Chen SS, Li YH, Lu QQ, Li J, Li YW, Pei DX, Chen YJ, Chen H, Li Y, Wang W, Wang H, Yu HT, Ba Z, Cheng D, Ning LP, Luo CL, Qin XS, Zhang J, Wu N, Xie HJ, Pan JH, Shui J, Wang J, Yang JP, Liu XH, Xu FX, Yang L, Hu LY, Zhang Q, Li B, Liu QL, Zhang M, Shen SJ, Jiang MM, Wu Y, Hu JW, Liu SQ, Gu DY, Xie XB. [HbA1c comparison and diagnostic efficacy analysis of multi center different glycosylated hemoglobin detection systems]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1047-1058. [PMID: 37482740 DOI: 10.3760/cma.j.cn112150-20221221-01220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R2 of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Collapse
Affiliation(s)
- P Li
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - Y Wu
- Changsha DIAN Medical Laboratory, Changsha 410000, China
| | - Y Xie
- Changsha DIAN Medical Laboratory, Changsha 410000, China
| | - F Chen
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - S S Chen
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - Y H Li
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - Q Q Lu
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - J Li
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| | - Y W Li
- Department of Laboratory Medicine, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou 450002, China
| | - D X Pei
- Department of Laboratory Medicine, Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou 450002, China
| | - Y J Chen
- Department of Medical Laboratory, Nanjing Maternity and Child Health Care Hospital, Nanjing 210004, China
| | - H Chen
- Department of Clinical Laboratory, the Third Xiangya Hospital of Central South University, Changsha 410013, China
| | - Y Li
- Department of Medical Laboratory, the First Affiliated Hospital of Shandong First Medical University, Jinan 250014,China
| | - W Wang
- Department of Laboratory Medicine, Dongguan Chang'an Hospital, Dongguan 523843, China
| | - H Wang
- Department of Laboratory, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China
| | - H T Yu
- Department of Laboratory, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China
| | - Z Ba
- Clinical Laboratory, Tibetan Hospital of Tibet Atonomous Region, Lhasa 850002, China
| | - D Cheng
- Clinical Laboratory, Tibetan Hospital of Tibet Atonomous Region, Lhasa 850002, China
| | - L P Ning
- Department of Clinical Laboratory, the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - C L Luo
- Department of Clinical Laboratory, the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - X S Qin
- Department of Clinical Laboratory, Shengjing hospital of China Medical University, Shenyang 110004, China
| | - J Zhang
- Department of Clinical Laboratory, Shengjing hospital of China Medical University, Shenyang 110004, China
| | - N Wu
- Department of Medical Laboratory, Hengyang First People's Hospital, Hengyang 421002, China
| | - H J Xie
- Department of Medical Laboratory, Hengyang First People's Hospital, Hengyang 421002, China
| | - J H Pan
- Department of Medical Laboratory, the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha 410004, China
| | - J Shui
- Department of Medical Laboratory, the Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha 410004, China
| | - J Wang
- Department of Medical Laboratory, the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang 330006, China
| | - J P Yang
- Department of Medical Laboratory, the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang 330006, China
| | - X H Liu
- Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai 200135, China
| | - F X Xu
- Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai 200135, China
| | - L Yang
- Department of Medical Laboratory, the People's Hospital of Chongqing Liang Jiang New Area, Chongqing 401121, China
| | - L Y Hu
- Department of Medical Laboratory, the People's Hospital of Chongqing Liang Jiang New Area, Chongqing 401121, China
| | - Q Zhang
- Department of Medical Laboratory, Taihe Hospital of traditional Chinese Medicine, Taihe County 236600, China
| | - B Li
- Department of Medical Laboratory, Taihe Hospital of traditional Chinese Medicine, Taihe County 236600, China
| | - Q L Liu
- Department of Clinical Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
| | - M Zhang
- Department of Clinical Laboratory, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
| | - S J Shen
- Department of Medical Laboratory, the First People's Hospitao of Jiashan County, Zhejiang Province, Jiashan County 314100, China
| | - M M Jiang
- Department of Medical Laboratory, the First People's Hospitao of Jiashan County, Zhejiang Province, Jiashan County 314100, China
| | - Y Wu
- Department of Clinical Laboratory, the Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha 410005, China
| | - J W Hu
- Department of Clinical Laboratory, the Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha 410005, China
| | - S Q Liu
- Department of Clinical Laboratory Medicine, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421002, China
| | - D Y Gu
- Department of Laboratory Medicine, Shenzhen Second People's Hospital, Shenzhen 518025, China
| | - X B Xie
- Department of Medical Laboratory and Pathology Center, the First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China
| |
Collapse
|
29
|
Qiu MZ, Chen Q, Zheng DY, Zhao Q, Wu QN, Zhou ZW, Yang LQ, Luo QY, Sun YT, Lai MY, Yuan SS, Wang FH, Luo HY, Wang F, Li YH, Zhang HZ, Xu RH. Precise microdissection of gastric mixed adeno-neuroendocrine carcinoma dissects its genomic landscape and evolutionary clonal origins. Cell Rep 2023; 42:112576. [PMID: 37285266 DOI: 10.1016/j.celrep.2023.112576] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 03/02/2023] [Accepted: 05/15/2023] [Indexed: 06/09/2023] Open
Abstract
Gastric mixed adenoneuroendocrine carcinoma (MANEC) is a clinically aggressive and heterogeneous tumor composed of adenocarcinoma (ACA) and neuroendocrine carcinoma (NEC). The genomic properties and evolutionary clonal origins of MANEC remain unclear. We conduct whole-exome and multiregional sequencing on 101 samples from 33 patients to elucidate their evolutionary paths. We identify four significantly mutated genes, TP53, RB1, APC, and CTNNB1. MANEC resembles chromosomal instability stomach adenocarcinoma in that whole-genome doubling in MANEC is predominant and occurs earlier than most copy-number losses. All tumors are of monoclonal origin, and NEC components show more aggressive genomic properties than their ACA counterparts. The phylogenetic trees show two tumor divergence patterns, including sequential and parallel divergence. Furthermore, ACA-to-NEC rather than NEC-to-ACA transition is confirmed by immunohistochemistry on 6 biomarkers in ACA- and NEC-dominant regions. These results provide insights into the clonal origin and tumor differentiation of MANEC.
Collapse
Affiliation(s)
- Miao-Zhen Qiu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Qingjian Chen
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China; State Key Laboratory of Systems Medicine for Cancer, Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, P.R. China
| | - Dan-Yang Zheng
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China; Department of Clinical Oncology, LKS Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Qi Zhao
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Qi-Nian Wu
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Zhi-Wei Zhou
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Li-Qiong Yang
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Qiu-Yun Luo
- Department of Basic Research, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Yu-Ting Sun
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Ming-Yu Lai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Sha-Sha Yuan
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Feng-Hua Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Hui-Yan Luo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Feng Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Yu-Hong Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Hui-Zhong Zhang
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China
| | - Rui-Hua Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P.R. China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, P.R. China.
| |
Collapse
|
30
|
Li T, Li YH, Zhang M. Correction to: Bronchial tuberculosis with recurrent spontaneous pneumothorax: A case report. BMC Pulm Med 2023; 23:204. [PMID: 37308921 DOI: 10.1186/s12890-023-02461-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023] Open
Affiliation(s)
- Ting Li
- The Affiliated Hospital of Qinghai University, Xining, 810001, China.
| | - Yu-Hong Li
- Department of Respiratory Medicine, The Affiliated Hospital of Qinghai University, Xining, 810001, China
| | - Ming Zhang
- Department of Respiratory Medicine, The Affiliated Hospital of Qinghai University, Xining, 810001, China
| |
Collapse
|
31
|
Zhuang YL, Lu J, Wu SK, Zhang ZH, Wei ZM, Li YH, Hu T, Kang M, Deng AP. [Epidemiologic characteristics and influencing factors of influenza outbreaks in Guangdong Province, 2015-2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:942-948. [PMID: 37380417 DOI: 10.3760/cma.j.cn112338-20221010-00867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Objective: To grasp the epidemiological characteristics of influenza outbreaks in Guangdong Province by analyzing the outbreaks of influenza-like cases reported in Guangdong Province from January 2015 to the end of August 2022. Methods: In response to the outbreak of epidemics in Guangdong Province from 2015 to 2022, information on on-site epidemic control was collected, and epidemiological analysis was conducted to describe the characteristics of the epidemics. The factors that influence the intensity and duration of the outbreak were determined through a logistic regression model. Results: A total of 1 901 influenza outbreaks were reported in Guangdong Province, with an overall incidence of 2.05%. Most outbreak reports occurred from November to January of the following year (50.24%, 955/1 901) and from April to June (29.88%, 568/1 901). A total of 59.23% (1 126/1 901) of the outbreaks were reported in the Pearl River Delta region, and primary and secondary schools were the main places where outbreaks occurred (88.01%, 1 673/1 901). Outbreaks with 10-29 cases were the most common (66.18%, 1 258/1 901), and most outbreaks lasted less than seven days (50.93%,906/1 779). The size of the outbreak was related to the nursery school (aOR=0.38, 95%CI:0.15-0.93), the Pearl River Delta region (aOR=0.60, 95%CI:0.44-0.83), the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=3.01, 95%CI:1.84-4.90), the influenza A(H1N1) (aOR=2.02, 95%CI:1.15-3.55) and the influenza B (Yamagata) (aOR=2.94, 95%CI: 1.50-5.76). The duration of outbreaks was related to school closures (aOR=0.65, 95%CI: 0.47-0.89), the Pearl River Delta region (aOR=0.65, 95%CI: 0.50-0.83) and the time interval between the onset of the first case and the time of report (>7 days compared with ≤3 days: aOR=13.33, 95%CI: 8.80-20.19; 4-7 days compared with ≤3 days: aOR=2.56, 95%CI: 1.81-3.61). Conclusions: An influenza outbreak in Guangdong Province exhibits two peaks, one in the winter and spring seasons and the other in the summer. Primary and secondary schools are high-risk areas, and early reporting of outbreaks is critical for controlling influenza outbreaks in schools. Furthermore, comprehensive measures should be taken to prevent the spread of the epidemic.
Collapse
Affiliation(s)
- Y L Zhuang
- Institute of Infectious Disease Control and Prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China
| | - J Lu
- Institute of Infectious Disease Control and Prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China
| | - S K Wu
- Guangdong Provincial Field Epidemiology Training Program, Guangdong Provincial Center for Disease Control and Prevention,Guangzhou 511400, China Chancheng District of Foshan Center for Disease Control and Prevention, Foshan 528000, China
| | - Z H Zhang
- Guangdong Provincial Field Epidemiology Training Program, Guangdong Provincial Center for Disease Control and Prevention,Guangzhou 511400, China Zengcheng District of Guangzhou Center for Disease Control and Prevention, Guangzhou 511300, China
| | - Z M Wei
- Guangdong Provincial Field Epidemiology Training Program, Guangdong Provincial Center for Disease Control and Prevention,Guangzhou 511400, China Guangdong Provincial Institute of Biological Products and Materia Medica, Guangzhou 511000, China
| | - Y H Li
- Institute of Infectious Disease Control and Prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China
| | - T Hu
- Institute of Infectious Disease Control and Prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China
| | - M Kang
- Institute of Infectious Disease Control and Prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China
| | - A P Deng
- Institute of Infectious Disease Control and Prevention,Guangdong Workstation for Emerging Infectious Disease Control and Prevention,Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511400, China
| |
Collapse
|
32
|
Hao MJ, Ma LP, Chen HJ, Li YH, Zhang L. [Discussion on two common problems in renal transplantation donor-specificity discrimination of anti-human leukocyte antigen antibody]. Zhonghua Yi Xue Za Zhi 2023; 103:1571-1574. [PMID: 37246009 DOI: 10.3760/cma.j.cn112137-20221228-02711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Antibody-mediated rejection (AMR) is a key factor affecting the long-term survival of renal allografts. Donor-specific antibody (DSA) is the etiology of AMR. So it is very important to accurately detect DSA. The single antigen bead (SAB) method, which is widely used in clinical practice, is prone to miss DSA detection and underestimate its mean fluorescence intensity (MFI). In this paper, the probability of missed detection of two SAB reagents was calculated by comparing common HLA alleles in China population, and the in vitro effect of antibody cross reaction on MFI value of DSA was revealed. The authors emphasized the clinical significance of the above two problems, tried to manage them by using functional epitope (eplet) analysis and give some clinical examples. Finally, the limitations of this correction method were analyzed.
Collapse
Affiliation(s)
- M J Hao
- Department of Organ Transplantation, Changhai Hospital Affiliated to Naval Medical University, Shanghai 200433, China
| | - L P Ma
- Suzhou Caibo Medical Research Institute, Suzhou 215000, China
| | - H J Chen
- Department of Organ Transplantation, Changhai Hospital Affiliated to Naval Medical University, Shanghai 200433, China
| | - Y H Li
- Department of Nursing, Changhai Hospital Affiliated to Naval Medical University, Shanghai 200433, China
| | - L Zhang
- Department of Organ Transplantation, Changhai Hospital Affiliated to Naval Medical University, Shanghai 200433, China
| |
Collapse
|
33
|
Song WZ, Qiu LX, Wang XC, Li YH, Hu FY, Li YF, Li RS, Zhou XS. [Constructing the Bayesian network models to explore the factors related to glomerular and tubular injury]. Zhonghua Yi Xue Za Zhi 2023; 103:1401-1409. [PMID: 37150693 DOI: 10.3760/cma.j.cn112137-20221101-02279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Objective: To construct Bayesian network (BN) models to explore the factors related to glomerular injury (GI) and tubular injury (TI). Methods: A cross-sectional study was carried out. From April to November 2019, Shanxi Provincial People's Hospital performed an opportunistic screening for chronic kidney disease in 10 counties of Shanxi Province. The general data and laboratory results of blood and urine samples were collected. Chi-square test and logistic regression were used to explore the related factors of GI and TI, which were included in the construction of BN models with max-min hill-climbing (MMHC) algorithm. Results: A total of 12 269 participants were included, there were 5 198 males and 7 071 females, with a median age of 58 (40-91) years. The prevalence of GI and TI was 12.7% (1 561/12 269) and 11.6% (1 425/12 269), respectively. The BN model consisted of 8 nodes and 10 edges for GI, and 11 nodes and 17 edges for TI, respectively. BN models showed that age and glycated hemoglobin were direct related factors for GI, while gender and fasting blood glucose were indirect related factors for GI. Age, gender, fasting blood glucose and glycosylated hemoglobin were direct related factors for TI. Additionally, the area under the receiver operating characteristic curve (AUC) was 0.761 (95%CI: 0.746-0.777) and 0.753 (95%CI: 0.736-0.769) for GI and TI BN models, respectively. Conclusions: BN models allow for identifying the complex network relationships among the factors related to GI and TI. Meanwhile, Bayesian risk reasoning can provide reference value for the clinical prevention of GI and TI.
Collapse
Affiliation(s)
- W Z Song
- Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan 030012, China
| | - L X Qiu
- School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - X C Wang
- School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Y H Li
- Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China
| | - F Y Hu
- Department of Neurology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Taiyuan 030012, China
| | - Y F Li
- Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China
| | - R S Li
- Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China
| | - X S Zhou
- Department of Nephrology, the Fifth Hospital of Shanxi Medical University (Shanxi Provincial People's Hospital), Shanxi Provincial Key Laboratory of Kidney Disease, Taiyuan 030012, China
| |
Collapse
|
34
|
Wang LD, Zhang PH, Li Y, Li YH, Zhang B, Wang HJ, Wu J, Han JH, Li CN, Li N, Li XH, Ding GG, Wu ZS. [Deepening the Action on Salt Reduction in China-suggestions on strategy and implementation plan]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1-10. [PMID: 37190746 DOI: 10.3760/cma.j.cn112150-20221205-01176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Excessive sodium/salt intake is the leading dietary risk factor for the loss of healthy life in the Chinese population. The "Healthy China 2030" Action Plan set the goal of reducing salt intake by 20% by 2030. However, salt intake in China is still at a very high level in the world, with adults reaching 11 g/d, more than twice the recommended limit of 5 g/d. The current policies and action plans of China have targeted catering workers, children, adolescents, and home chefs in salt, oil, and sugar reduction actions. However, there are still obvious deficiencies in the coordinated promotion and implementation. This study, therefore, proposed a set of comprehensive strategies (named CHRPS that is composed of communication and education, salt reduction in home cooking, salt reduction in restaurants, reducing salt content in pre-packaged food, and surveillance and evaluation) and key implementation points for further deepening the salt reduction action in China. These strategies were developed based on the main sources of dietary sodium for Chinese residents, the status of"knowledge, attitude and practice"in salt reduction, evidence of effective intervention measures, existing policies and requirements, and the salt reduction strategies of the World Health Organization and experience from some other countries. As a scientific reference, the CHRPS strategies will help the government and relevant organizations quickly implement salt reduction work and facilitate the earlier realization of China's salt reduction goal.
Collapse
Affiliation(s)
- L D Wang
- Chinese Preventive Medicine Association, Beijing 100062
| | - P H Zhang
- The George Institute for Global Health (Australia) Beijing Representative Office, Beijing 100600
| | - Y Li
- The George Institute for Global Health (Australia) Beijing Representative Office, Beijing 100600
| | - Y H Li
- Chinese Center for Health Education, Beijing 100011
| | - B Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050
| | - H J Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050
| | - J Wu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050
| | - J H Han
- Chinese Nutrition Society, Beijing 100020
| | - C N Li
- Chinese Center for Health Education, Beijing 100011
| | - N Li
- China National Center for Food Safety Risk Assessment, Beijing 100024
| | - X H Li
- People's Medical Publishing House, Beijing 100021
| | - G G Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050
| | - Z S Wu
- Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Diseases, Capital Medical University, Beijing 100029
| |
Collapse
|
35
|
Liu XH, Cao ZJ, Chen LW, Zhang DL, Qu XX, Li YH, Tang YP, Bao YR, Ying H. The association between serum folate and gestational diabetes mellitus: a large retrospective cohort study in Chinese population. Public Health Nutr 2023; 26:1014-1021. [PMID: 36093642 PMCID: PMC10346082 DOI: 10.1017/s136898002200194x] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 07/28/2022] [Accepted: 08/23/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To investigate the association between folate levels and the risk of gestational diabetes mellitus (GDM) risk during the whole pregnancy. DESIGN In this retrospective cohort study of pregnant women, serum folate levels were measured before 24 gestational weeks (GW). GDM was diagnosed between 24th and 28th GW based on the criteria of the International Association of Diabetes and Pregnancy Study Groups. General linear models were performed to examine the association of serum folate with plasma glucose (i.e. linear regressions) and risk of GDM (i.e. log-binomial regressions) after controlling for confounders. Restricted cubic spline regression was conducted to test the dosage-response relationship between serum folate and the risk of GDM. SETTING A sigle, urban hospital in Shanghai, China. PARTICIPANTS A total of 42 478 women who received antenatal care from April 2013 to March 2017 were included. RESULTS Consistent positive associations were observed between serum folate and plasma glucose levels (fasting, 1-h, 2-h). The adjusted relative risks (RR) and 95 % CI of GDM across serum folate quartiles were 1·00 (reference), 1·15 (95 % CI (1·04, 1·26)), 1·40 (95 % CI (1·27, 1·54)) and 1·54 (95 % CI (1·40, 1·69)), respectively (P-for-trend < 0·001). The positive association between serum folate and GDM remained when stratified by vitamin B12 (adequate v. deficient groups) and the GW of serum folate measurement (≤13 GW v. >13 GWs). CONCLUSIONS The findings of this study may provide important evidence for the public health and clinical guidelines of pregnancy folate supplementation in terms of GDM prevention.
Collapse
Affiliation(s)
- Xiao-Hui Liu
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 550 Hunan RD, Shanghai201204, People’s Republic of China
| | - Zhi-Juan Cao
- Department of Clinical Research Center, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Li-Wei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA
| | - Dong-Lan Zhang
- Division of Health Services Research, Department of Foundations of Medicine, New York University, Long Island, School of Medicine, Mineola, NY, USA
| | - Xiao-Xian Qu
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 550 Hunan RD, Shanghai201204, People’s Republic of China
| | - Yu-Hong Li
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 550 Hunan RD, Shanghai201204, People’s Republic of China
| | - Yu-Ping Tang
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 550 Hunan RD, Shanghai201204, People’s Republic of China
| | - Yi-Rong Bao
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 550 Hunan RD, Shanghai201204, People’s Republic of China
| | - Hao Ying
- Department of Obstetrics, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 550 Hunan RD, Shanghai201204, People’s Republic of China
| |
Collapse
|
36
|
Chen YX, Wang ZX, Jin Y, Zhao Q, Liu ZX, Zuo ZX, Ju HQ, Cui C, Yao J, Zhang Y, Li M, Feng J, Tian L, Xia XJ, Feng H, Yao S, Wang FH, Li YH, Wang F, Xu RH. An immunogenic and oncogenic feature-based classification for chemotherapy plus PD-1 blockade in advanced esophageal squamous cell carcinoma. Cancer Cell 2023; 41:919-932.e5. [PMID: 37059106 DOI: 10.1016/j.ccell.2023.03.016] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/18/2022] [Accepted: 03/22/2023] [Indexed: 04/16/2023]
Abstract
Although chemotherapy plus PD-1 blockade (chemo+anti-PD-1) has become the standard first-line therapy for advanced esophageal squamous cell carcinoma (ESCC), reliable biomarkers for this regimen are lacking. Here we perform whole-exome sequencing on tumor samples from 486 patients of the JUPITER-06 study and develop a copy number alteration-corrected tumor mutational burden that depicts immunogenicity more precisely and predicts chemo+anti-PD-1 efficacy. We identify several other favorable immunogenic features (e.g., HLA-I/II diversity) and risk oncogenic alterations (e.g., PIK3CA and TET2 mutation) associated with chemo+anti-PD-1 efficacy. An esophageal cancer genome-based immuno-oncology classification (EGIC) scheme incorporating these immunogenic features and oncogenic alterations is established. Chemo+anti-PD-1 achieves significant survival improvements in EGIC1 (immunogenic feature-favorable and oncogenic alteration-negative) and EGIC2 (either immunogenic feature-favorable or oncogenic alteration-negative) subgroups, but not the EGIC3 subgroup (immunogenic feature-unfavorable and oncogenic alteration-positive). Thus, EGIC may guide future individualized treatment strategies and inform mechanistic biomarker research for chemo+anti-PD-1 treatment in patients with advanced ESCC.
Collapse
Affiliation(s)
- Yan-Xing Chen
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Zi-Xian Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
| | - Ying Jin
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China
| | - Qi Zhao
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Ze-Xian Liu
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Zhi-Xiang Zuo
- Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Huai-Qiang Ju
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Chengxu Cui
- Cancer Hospital Chinese Academy of Medical Sciences, Beijing 100021, China
| | - Jun Yao
- The First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471000, China
| | - Yanqiao Zhang
- Harbin Medical University Cancer Hospital, Harbin 150081, China
| | - Mengxia Li
- Army Medical Center of PLA, Chongqing 400042, China
| | - Jifeng Feng
- Jiangsu Cancer Hospital, Nanjing 210009, China
| | - Lin Tian
- Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xiao-Jun Xia
- Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Hui Feng
- Shanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA
| | - Sheng Yao
- Shanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA
| | - Feng-Hua Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Yu-Hong Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Feng Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China.
| | - Rui-Hua Xu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China.
| |
Collapse
|
37
|
Li T, Li YH, Zhang M. Bronchial tuberculosis with recurrent spontaneous pneumothorax: A case report. BMC Pulm Med 2023; 23:93. [PMID: 36944976 PMCID: PMC10029200 DOI: 10.1186/s12890-023-02374-y] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 02/28/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Spontaneous pneumothorax associated with tuberculosis due to clinical manifestations, imaging findings and negative pleural biopsy is rare. CASE REPORT A 43-year-old young woman went to the hospital several times because of recurrent dyspnea and was diagnosed with a right spontaneous pneumothorax. She underwent multiple closed thoracic drainage procedures, but the pneumothorax was not completely resolved. Pleural biopsy pathology was chronic inflammation; there was no evidence of tuberculosis. A small amount of pneumothorax persisted, intermittent dyspnea became more severe, and pneumothorax increased. Bronchoscopy showed thickening of the left lung lingular segment mucosa, and the bronchial lavage fluid gene X-PERT/rifampicin resistance test was positive. After one month of anti-tuberculosis treatment, the symptoms of short breath were completely relieved, and chest computerized tomography (CT) showed complete resolution of the right pneumothorax. CONCLUSIONS When searching for the cause of spontaneous pneumothorax, people should not overlook tuberculosis-related secondary pneumothorax, which should be diagnosed and treated as soon as possible.
Collapse
Affiliation(s)
- Ting Li
- The Affiliated Hospital of Qinghai University, Xining, 810001, China.
| | - Yu-Hong Li
- Department of Respiratory Medicine, The Affiliated Hospital of Qinghai University, Xining, 810001, China
| | - Ming Zhang
- Department of Respiratory Medicine, The Affiliated Hospital of Qinghai University, Xining, 810001, China
| |
Collapse
|
38
|
Girardi F, Matz M, Stiller C, You H, Marcos Gragera R, Valkov MY, Bulliard JL, De P, Morrison D, Wanner M, O'Brian DK, Saint-Jacques N, Coleman MP, Allemani C, Hamdi-Chérif M, Kara L, Meguenni K, Regagba D, Bayo S, Cheick Bougadari T, Manraj SS, Bendahhou K, Ladipo A, Ogunbiyi OJ, Somdyala NIM, Chaplin MA, Moreno F, Calabrano GH, Espinola SB, Carballo Quintero B, Fita R, Laspada WD, Ibañez SG, Lima CA, Da Costa AM, De Souza PCF, Chaves J, Laporte CA, Curado MP, de Oliveira JC, Veneziano CLA, Veneziano DB, Almeida ABM, Latorre MRDO, Rebelo MS, Santos MO, Azevedo e Silva G, Galaz JC, Aparicio Aravena M, Sanhueza Monsalve J, Herrmann DA, Vargas S, Herrera VM, Uribe CJ, Bravo LE, Garcia LS, Arias-Ortiz NE, Morantes D, Jurado DM, Yépez Chamorro MC, Delgado S, Ramirez M, Galán Alvarez YH, Torres P, Martínez-Reyes F, Jaramillo L, Quinto R, Castillo J, Mendoza M, Cueva P, Yépez JG, Bhakkan B, Deloumeaux J, Joachim C, Macni J, Carrillo R, Shalkow Klincovstein J, Rivera Gomez R, Perez P, Poquioma E, Tortolero-Luna G, Zavala D, Alonso R, Barrios E, Eckstrand A, Nikiforuk C, Woods RR, Noonan G, Turner D, Kumar E, Zhang B, Dowden JJ, Doyle GP, Saint-Jacques N, Walsh G, Anam A, De P, McClure CA, Vriends KA, Bertrand C, Ramanakumar AV, Davis L, Kozie S, Freeman T, George JT, Avila RM, O’Brien DK, Holt A, Almon L, Kwong S, Morris C, Rycroft R, Mueller L, Phillips CE, Brown H, Cromartie B, Ruterbusch J, Schwartz AG, Levin GM, Wohler B, Bayakly R, Ward KC, Gomez SL, McKinley M, Cress R, Davis J, Hernandez B, Johnson CJ, Morawski BM, Ruppert LP, Bentler S, Charlton ME, Huang B, Tucker TC, Deapen D, Liu L, Hsieh MC, Wu XC, Schwenn M, Stern K, Gershman ST, Knowlton RC, Alverson G, Weaver T, Desai J, Rogers DB, Jackson-Thompson J, Lemons D, Zimmerman HJ, Hood M, Roberts-Johnson J, Hammond W, Rees JR, Pawlish KS, Stroup A, Key C, Wiggins C, Kahn AR, Schymura MJ, Radhakrishnan S, Rao C, Giljahn LK, Slocumb RM, Dabbs C, Espinoza RE, Aird KG, Beran T, Rubertone JJ, Slack SJ, Oh J, Janes TA, Schwartz SM, Chiodini SC, Hurley DM, Whiteside MA, Rai S, Williams MA, Herget K, Sweeney C, Kachajian J, Keitheri Cheteri MB, Migliore Santiago P, Blankenship SE, Conaway JL, Borchers R, Malicki R, Espinoza J, Grandpre J, Weir HK, Wilson R, Edwards BK, Mariotto A, Rodriguez-Galindo C, Wang N, Yang L, Chen JS, Zhou Y, He YT, Song GH, Gu XP, Mei D, Mu HJ, Ge HM, Wu TH, Li YY, Zhao DL, Jin F, Zhang JH, Zhu FD, Junhua Q, Yang YL, Jiang CX, Biao W, Wang J, Li QL, Yi H, Zhou X, Dong J, Li W, Fu FX, Liu SZ, Chen JG, Zhu J, Li YH, Lu YQ, Fan M, Huang SQ, Guo GP, Zhaolai H, Wei K, Chen WQ, Wei W, Zeng H, Demetriou AV, Mang WK, Ngan KC, Kataki AC, Krishnatreya M, Jayalekshmi PA, Sebastian P, George PS, Mathew A, Nandakumar A, Malekzadeh R, Roshandel G, Keinan-Boker L, Silverman BG, Ito H, Koyanagi Y, Sato M, Tobori F, Nakata I, Teramoto N, Hattori M, Kaizaki Y, Moki F, Sugiyama H, Utada M, Nishimura M, Yoshida K, Kurosawa K, Nemoto Y, Narimatsu H, Sakaguchi M, Kanemura S, Naito M, Narisawa R, Miyashiro I, Nakata K, Mori D, Yoshitake M, Oki I, Fukushima N, Shibata A, Iwasa K, Ono C, Matsuda T, Nimri O, Jung KW, Won YJ, Alawadhi E, Elbasmi A, Ab Manan A, Adam F, Nansalmaa E, Tudev U, Ochir C, Al Khater AM, El Mistiri MM, Lim GH, Teo YY, Chiang CJ, Lee WC, Buasom R, Sangrajrang S, Suwanrungruang K, Vatanasapt P, Daoprasert K, Pongnikorn D, Leklob A, Sangkitipaiboon S, Geater SL, Sriplung H, Ceylan O, Kög I, Dirican O, Köse T, Gurbuz T, Karaşahin FE, Turhan D, Aktaş U, Halat Y, Eser S, Yakut CI, Altinisik M, Cavusoglu Y, Türkköylü A, Üçüncü N, Hackl M, Zborovskaya AA, Aleinikova OV, Henau K, Van Eycken L, Atanasov TY, Valerianova Z, Šekerija M, Dušek L, Zvolský M, Steinrud Mørch L, Storm H, Wessel Skovlund C, Innos K, Mägi M, Malila N, Seppä K, Jégu J, Velten M, Cornet E, Troussard X, Bouvier AM, Guizard AV, Bouvier V, Launoy G, Dabakuyo Yonli S, Poillot ML, Maynadié M, Mounier M, Vaconnet L, Woronoff AS, Daoulas M, Robaszkiewicz M, Clavel J, Poulalhon C, Desandes E, Lacour B, Baldi I, Amadeo B, Coureau G, Monnereau A, Orazio S, Audoin M, D’Almeida TC, Boyer S, Hammas K, Trétarre B, Colonna M, Delafosse P, Plouvier S, Cowppli-Bony A, Molinié F, Bara S, Ganry O, Lapôtre-Ledoux B, Daubisse-Marliac L, Bossard N, Uhry Z, Estève J, Stabenow R, Wilsdorf-Köhler H, Eberle A, Luttmann S, Löhden I, Nennecke AL, Kieschke J, Sirri E, Justenhoven C, Reinwald F, Holleczek B, Eisemann N, Katalinic A, Asquez RA, Kumar V, Petridou E, Ólafsdóttir EJ, Tryggvadóttir L, Murray DE, Walsh PM, Sundseth H, Harney M, Mazzoleni G, Vittadello F, Coviello E, Cuccaro F, Galasso R, Sampietro G, Giacomin A, Magoni M, Ardizzone A, D’Argenzio A, Di Prima AA, Ippolito A, Lavecchia AM, Sutera Sardo A, Gola G, Ballotari P, Giacomazzi E, Ferretti S, Dal Maso L, Serraino D, Celesia MV, Filiberti RA, Pannozzo F, Melcarne A, Quarta F, Andreano A, Russo AG, Carrozzi G, Cirilli C, Cavalieri d’Oro L, Rognoni M, Fusco M, Vitale MF, Usala M, Cusimano R, Mazzucco W, Michiara M, Sgargi P, Boschetti L, Marguati S, Chiaranda G, Seghini P, Maule MM, Merletti F, Spata E, Tumino R, Mancuso P, Cassetti T, Sassatelli R, Falcini F, Giorgetti S, Caiazzo AL, Cavallo R, Piras D, Bella F, Madeddu A, Fanetti AC, Maspero S, Carone S, Mincuzzi A, Candela G, Scuderi T, Gentilini MA, Rizzello R, Rosso S, Caldarella A, Intrieri T, Bianconi F, Contiero P, Tagliabue G, Rugge M, Zorzi M, Beggiato S, Brustolin A, Gatta G, De Angelis R, Vicentini M, Zanetti R, Stracci F, Maurina A, Oniščuka M, Mousavi M, Steponaviciene L, Vincerževskienė I, Azzopardi MJ, Calleja N, Siesling S, Visser O, Johannesen TB, Larønningen S, Trojanowski M, Macek P, Mierzwa T, Rachtan J, Rosińska A, Kępska K, Kościańska B, Barna K, Sulkowska U, Gebauer T, Łapińska JB, Wójcik-Tomaszewska J, Motnyk M, Patro A, Gos A, Sikorska K, Bielska-Lasota M, Didkowska JA, Wojciechowska U, Forjaz de Lacerda G, Rego RA, Carrito B, Pais A, Bento MJ, Rodrigues J, Lourenço A, Mayer-da-Silva A, Coza D, Todescu AI, Valkov MY, Gusenkova L, Lazarevich O, Prudnikova O, Vjushkov DM, Egorova A, Orlov A, Pikalova LV, Zhuikova LD, Adamcik J, Safaei Diba C, Zadnik V, Žagar T, De-La-Cruz M, Lopez-de-Munain A, Aleman A, Rojas D, Chillarón RJ, Navarro AIM, Marcos-Gragera R, Puigdemont M, Rodríguez-Barranco M, Sánchez Perez MJ, Franch Sureda P, Ramos Montserrat M, Chirlaque López MD, Sánchez Gil A, Ardanaz E, Guevara M, Cañete-Nieto A, Peris-Bonet R, Carulla M, Galceran J, Almela F, Sabater C, Khan S, Pettersson D, Dickman P, Staehelin K, Struchen B, Egger Hayoz C, Rapiti E, Schaffar R, Went P, Mousavi SM, Bulliard JL, Maspoli-Conconi M, Kuehni CE, Redmond SM, Bordoni A, Ortelli L, Chiolero A, Konzelmann I, Rohrmann S, Wanner M, Broggio J, Rashbass J, Stiller C, Fitzpatrick D, Gavin A, Morrison DS, Thomson CS, Greene G, Huws DW, Grayson M, Rawcliffe H, Allemani C, Coleman MP, Di Carlo V, Girardi F, Matz M, Minicozzi P, Sanz N, Ssenyonga N, James D, Stephens R, Chalker E, Smith M, Gugusheff J, You H, Qin Li S, Dugdale S, Moore J, Philpot S, Pfeiffer R, Thomas H, Silva Ragaini B, Venn AJ, Evans SM, Te Marvelde L, Savietto V, Trevithick R, Aitken J, Currow D, Fowler C, Lewis C. Global survival trends for brain tumors, by histology: analysis of individual records for 556,237 adults diagnosed in 59 countries during 2000-2014 (CONCORD-3). Neuro Oncol 2023; 25:580-592. [PMID: 36355361 PMCID: PMC10013649 DOI: 10.1093/neuonc/noac217] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Survival is a key metric of the effectiveness of a health system in managing cancer. We set out to provide a comprehensive examination of worldwide variation and trends in survival from brain tumors in adults, by histology. METHODS We analyzed individual data for adults (15-99 years) diagnosed with a brain tumor (ICD-O-3 topography code C71) during 2000-2014, regardless of tumor behavior. Data underwent a 3-phase quality control as part of CONCORD-3. We estimated net survival for 11 histology groups, using the unbiased nonparametric Pohar Perme estimator. RESULTS The study included 556,237 adults. In 2010-2014, the global range in age-standardized 5-year net survival for the most common sub-types was broad: in the range 20%-38% for diffuse and anaplastic astrocytoma, from 4% to 17% for glioblastoma, and between 32% and 69% for oligodendroglioma. For patients with glioblastoma, the largest gains in survival occurred between 2000-2004 and 2005-2009. These improvements were more noticeable among adults diagnosed aged 40-70 years than among younger adults. CONCLUSIONS To the best of our knowledge, this study provides the largest account to date of global trends in population-based survival for brain tumors by histology in adults. We have highlighted remarkable gains in 5-year survival from glioblastoma since 2005, providing large-scale empirical evidence on the uptake of chemoradiation at population level. Worldwide, survival improvements have been extensive, but some countries still lag behind. Our findings may help clinicians involved in national and international tumor pathway boards to promote initiatives aimed at more extensive implementation of clinical guidelines.
Collapse
Affiliation(s)
- Fabio Girardi
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK.,Division of Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Melissa Matz
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
| | - Charles Stiller
- National Cancer Registration and Analysis Service, Public Health England, London, UK
| | - Hui You
- Cancer Information Analysis Unit, Cancer Institute NSW, St Leonards, New South Wales, Australia
| | - Rafael Marcos Gragera
- Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona, Spain
| | - Mikhail Y Valkov
- Department of Radiology, Radiotherapy and Oncology, Northern State Medical University, Arkhangelsk, Russia
| | - Jean-Luc Bulliard
- Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.,Neuchâtel and Jura Tumour Registry, Neuchâtel, Switzerland
| | - Prithwish De
- Surveillance and Cancer Registry, and Research Office, Clinical Institutes and Quality Programs, Ontario Health, Toronto, Ontario, Canada
| | - David Morrison
- Scottish Cancer Registry, Public Health Scotland, Edinburgh, UK
| | - Miriam Wanner
- Cancer Registry Zürich, Zug, Schaffhausen and Schwyz, University Hospital Zürich, Zürich, Switzerland
| | - David K O'Brian
- Alaska Cancer Registry, Alaska Department of Health and Social Services, Anchorage, Alaska, USA
| | - Nathalie Saint-Jacques
- Department of Medicine and Community Health and Epidemiology, Centre for Clinical Research, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Michel P Coleman
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK.,Cancer Division, University College London Hospitals NHS Foundation Trust, London, UK
| | - Claudia Allemani
- Cancer Survival Group, London School of Hygiene and Tropical Medicine, London, UK
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
39
|
Xie L, Yang C, Jiang M, Qiu YQ, Cai R, Hu LL, Jiang YX, Wang L, Chen QC, Wu S, Shi XL, Hu QH, Li YH. [Genomic epidemiology of Vibrio parahaemolyticus from acute diarrheal patients in Shenzhen City from 2013 to 2021]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:386-392. [PMID: 36922172 DOI: 10.3760/cma.j.cn112150-20220823-00832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Objective: To characterize the prevalence and genomic epidemiology of Vibrio parahaemolyticus from acute diarrheal patients in Shenzhen City from 2013 to 2021. Methods: Based on the Shenzhen Infectious Diarrhea Surveillance System, acute diarrheal patients were actively monitored in sentinel hospitals from 2013 to 2021. Whole-genome sequencing (WGS) of Vibrio parahaemolyticus isolates was performed, and the genomic population structure, serotypes, virulence genes and multilocus sequence typing were analyzed. Outbreak clusters from 2019 to 2021 were explored based on single-nucleotide polymorphism analysis. Results: A total of 48 623 acute diarrhea cases were monitored in 15 sentinel hospitals from 2013 to 2021, and 1 135 Vibrio parahaemolyticus strains were isolated, with a positive isolation rate of 2.3%. Qualified whole-genome sequencing data of 852 isolates were obtained. Eighty-nine serotypes, 21 known ST types and 5 new ST types were identified by sequence analysis, and 93.2% of strains were detected with toxin profile of tdh+trh-. 8 clonal groups (CGs) were captured, with CG3 as the absolute predominance, followed by CG189. The CG3 group was dominated by O3:K6 serotype and ST3 sequence type, while CG189 group was mainly O4:KUT, O4:K8 serotypes and ST189a and ST189 type. A total of 13 clusters were identified, containing 154 cases. About 30 outbreak clusters with 29 outbreak clusters caused by CG3 strains from 2019 to 2021. Conclusion: Vibrio parahaemolyticus is a major pathogen of acute infectious diarrhea in Shenzhen City, with diverse population structures. CG3 and CG189 have been prevalent and predominant in Shenzhen City for a long time. Scattered outbreaks and persistent sources of contamination ignored by traditional methods could be captured by WGS analysis. Tracing the source of epidemic clone groups and taking precise prevention and control measures are expected to significantly reduce the burden of diarrhea diseases caused by Vibrio parahaemolyticus infection in Shenzhen City.
Collapse
Affiliation(s)
- L Xie
- School of Public Health, University of South China, Hengyang 421001, China
| | - C Yang
- Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China
| | - M Jiang
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Y Q Qiu
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - R Cai
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - L L Hu
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Y X Jiang
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - L Wang
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Q C Chen
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - S Wu
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - X L Shi
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Q H Hu
- School of Public Health, University of South China, Hengyang 421001, China Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Y H Li
- Institute of Pathogenic Microbiology,Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| |
Collapse
|
40
|
Liu ZX, Zhang XL, Zhao Q, Chen Y, Sheng H, He CY, Sun YT, Lai MY, Wu MQ, Zuo ZX, Wang W, Zhou ZW, Wang FH, Li YH, Xu RH, Qiu MZ. Whole-Exome Sequencing Among Chinese Patients With Hereditary Diffuse Gastric Cancer. JAMA Netw Open 2022; 5:e2245836. [PMID: 36484990 PMCID: PMC9856492 DOI: 10.1001/jamanetworkopen.2022.45836] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
IMPORTANCE The E-cadherin gene, CDH1, and the α-E-catenin gene, CTNNA1, were previously identified as hereditary diffuse gastric cancer (HDGC) susceptibility genes, explaining 25% to 50% of HDGC cases. The genetic basis underlying disease susceptibility in the remaining 50% to 75% of patients with HDGC is still unknown. OBJECTIVE To assess the incidence rate of CDH1 germline alterations in HDGC, identify new susceptibility genes that can be used for screening of HDGC, and provide a genetic landscape for HDGC. DESIGN, SETTING, AND PARTICIPANTS This cohort study conducted retrospective whole-exome and targeted sequencing of 284 leukocyte samples and 186 paired tumor samples from Chinese patients with HDGC over a long follow-up period (median, 21.7 [range, 0.6-185.9] months). Among 10 431 patients diagnosed with gastric cancer between January 1, 2002, and August 31, 2018, 284 patients who met the criteria for HDGC were included. Data were analyzed from August 1 to 30, 2020. MAIN OUTCOMES AND MEASURES Incidence rate of CDH1 germline alterations, identification of new HDGC susceptibility genes, and genetic landscape of HDGC. RESULTS Among 284 Chinese patients, 161 (56.7%) were female, and the median age was 35 (range, 20-75) years. The frequency of CDH1 germline alterations was 2.8%, whereas the frequency of CDH1 somatic alterations was 25.3%. The genes with the highest incidence (>10%) of private germline alterations (including insertions and deletions) in the HDGC cohort were MUC4, ABCA13, ZNF469, FCGBP, IGFN1, RNF213, and SSPO, whereas previously reported germline alterations of CTNNA1, BRCA2, STK11, PRSS1, ATM, MSR1, PALB2, BRCA1, and RAD51C were observed at low frequencies (median, 4 [range, 1-12] cases). Furthermore, enrichment of the somatic variant signature of exposure to aflatoxin suggested potential interaction between genetics and environment in HDGC. Double-hit events in genes such as CACNA1D were observed, which suggested that these events might serve as important mechanisms for HDGC tumorigenesis. In addition, germline variants of FSIP2, HSPG2, and NCKAP5 and somatic alterations of FGFR3, ASPSCR1, CIC, DGCR8, and LZTR1 were associated with poor overall survival among patients with HDGC. CONCLUSIONS AND RELEVANCE This study provided a genetic landscape for HDGC. The study's findings challenged the previously reported high germline alteration rate of CDH1 in HDGC and identified new potential susceptibility genes. Analyses of variant signatures and double-hit events revealed potentially important mechanisms for HDGC tumorigenesis. Findings from the present study may provide helpful information for further investigations of HDGC.
Collapse
Affiliation(s)
- Ze-Xian Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Xiao-Long Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Qi Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Yungchang Chen
- Department of Medical Oncology, The First People’s Hospital of Foshan, Chancheng District, Foshan, People’s Republic of China
| | - Hui Sheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Cai-Yun He
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Yu-Ting Sun
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Ming-Yu Lai
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Min-Qing Wu
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Zhi-Xiang Zuo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
| | - Wei Wang
- Department of Medical Oncology, The First People’s Hospital of Foshan, Chancheng District, Foshan, People’s Republic of China
| | - Zhi-Wei Zhou
- Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Feng-Hua Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Yu-Hong Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Rui-Hua Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
- Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, People’s Republic of China
| | - Miao-Zhen Qiu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| |
Collapse
|
41
|
Shi WK, Qiu XY, Li YH, Lin GL. [Risk factor and early diagnosis of anastomotic leakage after rectal cancer surgery]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:981-986. [PMID: 36396373 DOI: 10.3760/cma.j.cn441530-20220827-00357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Anastomotic leakage (AL) is one of the most serious complications after sphincter- preserving surgery for rectal cancer, which can significantly prolong the length of stay of patients, increase perioperative mortality, cause dysfunction, shorten overall survival and recurrence-free survival of patients. In order to reduce the serious consequences caused by AL, prediction of AL through preoperative and intraoperative risk factors are of great importance. However, the influences of neoadjuvant chemoradiotherapy, protective stoma, laparoscopic surgery and some intraoperative manipulations on AL are still controversial. Through the auxiliary judgment of anastomotic blood supply during operation, such as indocyanine green imaging, hemodynamic ultrasound, etc., it is expected to achieve the source control of AL. Early diagnosis of AL can be achieved by attention to clinical manifestations and drainage, examination of peripheral blood, drainage and intestinal flora, identification of high risk factors such as fever, diarrhea and increased infectious indicators, and timely administration of CT with contrast enema.
Collapse
Affiliation(s)
- W K Shi
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X Y Qiu
- Department of Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y H Li
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - G L Lin
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| |
Collapse
|
42
|
Wei XL, Zhang Y, Zhao HY, Fang WF, Luo HY, Qiu MZ, He MM, Zou BY, Xie J, Jin CL, Zhou XF, Wang F, Wang FH, Li YH, Wang ZQ, Xu RH. Safety and Clinical Activity of SHR7390 Monotherapy or Combined With Camrelizumab for Advanced Solid Tumor: Results From Two Phase I Trials. Oncologist 2022; 28:e36-e44. [PMID: 36398872 PMCID: PMC9847543 DOI: 10.1093/oncolo/oyac225] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/16/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND SHR7390 is a novel, selective MEK1/2 inhibitor. Here, we report results from two phase I trials conducted to evaluate the tolerability, safety and antitumor activity of SHR7390 monotherapy for advanced solid tumors and SHR7390 plus camrelizumab for treatment-refractory advanced or metastatic colorectal cancer (CRC). PATIENTS AND METHODS Patients received SHR7390 alone or combined with fixed-dose camrelizumab (200 mg every 2 weeks) in an accelerated titration scheme to determine the maximum tolerated dose (MTD). A recommended dose for expansion was determined based on the safety and tolerability of the dose-escalation stage. The primary endpoints were dose limiting toxicity (DLT) and MTD. RESULTS In the SHR7390 monotherapy trial, 16 patients were enrolled. DLTs were reported in the 1.0 mg cohort, and the MTD was 0.75 mg. Grade ≥3 treatment-related adverse events (TRAEs) were recorded in 4 patients (25.0%). No patients achieved objective response. In the SHR7390 combination trial, 22 patients with CRC were enrolled. One DLT was reported in the 0.5 mg cohort and the MTD was not reached. Grade ≥3 TRAEs were observed in 8 patients (36.4%), with the most common being rash (n=4). One grade 5 TRAE (increased intracranial pressure) occurred. Five patients (22.7%) achieved partial response, including one of 3 patients with MSS/MSI-L and BRAF mutant tumors, one of 15 patients with MSS/MSI-L and BRAF wild type tumors, and all 3 patients with MSI-H tumors. CONCLUSIONS SHR7390 0.5 mg plus camrelizumab showed a manageable safety profile. Preliminary clinical activity was reported regardless of MSI and BRAF status.
Collapse
Affiliation(s)
- Xiao-Li Wei
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Yang Zhang
- Department of Clinical Research Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Hong-Yun Zhao
- Department of Clinical Research Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Wen-Feng Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Hui-Yan Luo
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Miao-Zhen Qiu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Ming-Ming He
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Ben-Yan Zou
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Jie Xie
- Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals Co., Ltd. (formerly Jiangsu Hengrui Medicine Co., Ltd.), Shanghai, People’s Republic of China
| | - Chun-Lei Jin
- Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals Co., Ltd. (formerly Jiangsu Hengrui Medicine Co., Ltd.), Shanghai, People’s Republic of China
| | - Xian-Feng Zhou
- Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals Co., Ltd. (formerly Jiangsu Hengrui Medicine Co., Ltd.), Shanghai, People’s Republic of China
| | - Feng Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Feng-Hua Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Yu-Hong Li
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Zhi-Qiang Wang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China
| | - Rui-Hua Xu
- Corresponding author: Rui-Hua Xu, MD, Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine; Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Science; 651 Dong Feng Road East, Guangzhou 510060, Guangdong Province, People’s Republic of China. Tel: +86 20 8734 3468; Fax: +86 20 8734 3468;
| |
Collapse
|
43
|
Li YH, Huang XQ, Lin YN, Chen XJ, Chen L, Liu EB, Mi YC, Ru K. [Mutational features of immunoglobulin heavy chain variable region gene in patients with chronic lymphocytic leukemia]. Zhonghua Bing Li Xue Za Zhi 2022; 51:1135-1140. [PMID: 36323543 DOI: 10.3760/cma.j.cn112151-20220309-00159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the mutational features of the immunoglobulin heavy chain variable region (IgHV) gene in patients with chronic lymphocytic leukemia (CLL) using immunophenotypic and molecular genetic methods. Methods: The laboratory results of 266 CLL patients who underwent IgHV gene examination at Sino-US diagnostics laboratory from February 2020 to February 2021 were analyzed for the IgVH mutational status and presence of specific IgVH fragments. In addition, their immunophenotypic, molecular, chromosomal karyotypic, and FISH profiles were investigated and correlated with the IgVH mutational status. Results: Among 266 patients, 172 were male and 94 were female, with a media age of 67 years (20-82 years).There were more patients with mutated IgHV (m-IgHV) than unmutated IgHV (un-IgHV) (69.2%∶30.8%). There was association of VH family and the presence of gene fragments: the overall incidence of VH families including VH3 family (142/266, 53.4%), VH4 family (75/266, 28.2%), and VH1 family (34/266, 12.8%) was about 95%, among which the proportion of VH4-34 (26/266, 9.8%), VH3-23 (25/266, 9.4%), VH3-7 (24/266, 9.0%), and VH4-39 (16/266, 6.0%) was about 35%. VH3-20 and VH3-49 only occurred in un-IgHV (P<0.05). In addition, the expression rates of CD38 (26.3% vs. 3.0%), CD79b (71.1%∶45.5%) and 11q deletion (25.5%∶5.3%) were higher in un-IgHV, and single trisomy 12 (37.9%∶5.6%) were more commonly found in m-IgHV (P<0.05). MYD88 was one of the major mutation genes in m-IgHV, while ATM had the highest mutation rate in un-IgHV. Conclusion: CLL patients have differential expression in terms of IgHV gene mutations, correlating to their immunophenotype and genetics characteristics.
Collapse
Affiliation(s)
- Y H Li
- Tianjin Sino-US Diagnostics Laboratory, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin 300385, China
| | - X Q Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - Y N Lin
- Tianjin Sino-US Diagnostics Laboratory, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin 300385, China
| | - X J Chen
- Tianjin Sino-US Diagnostics Laboratory, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin 300385, China
| | - L Chen
- Tianjin Sino-US Diagnostics Laboratory, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin 300385, China
| | - E B Liu
- Tianjin Sino-US Diagnostics Laboratory, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin 300385, China
| | - Y C Mi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300020, China
| | - K Ru
- Tianjin Sino-US Diagnostics Laboratory, Tianjin Enterprise Key Laboratory of AI-aided Hematopathology Diagnosis, Tianjin 300385, China
| |
Collapse
|
44
|
Bao F, Wang Y, Ju SQ, Sun WJ, Li YH, Zhang YC, Sun XY, Jiang C, Cong H. [Correlation between serum uric acid and creatinine ratio and metabolic syndrome based on physical examination population in Nantong area]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1630-1635. [PMID: 36372755 DOI: 10.3760/cma.j.cn112150-20220617-00620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
To investigate the relationship between serum uric acid to creatinine ratio (SUA/Cr) and metabolic syndrome (MS) and other indexes on physical examination population in Nantong area. Using the method of cross-sectional study, 8 148 physical examiners in the physical examination center of the Affiliated Hospital of Nantong University from January 2017 to April 2020 were used as the research objects, and the clinical data and serum biochemical indicators such as smoking and alcohol addiction, physical examination and so on were collected. According to the standard diagnosis of MS of Diabetes Society of Chinese Medical Association, the patients were grouped according to the quartile of SUA/Cr and the clinical data of each group were compared. Pearson correlation analysis and logistic regression analysis were used to explore the correlation between SUA/Cr and clinical indicators and the relationship between SUA/Cr and the risk of MS. The results showed that UA and SUA/Cr were the lowest in normal metabolism group, followed by abnormal metabolism group and the highest in MS group, The difference between the two groups was statistically significant (H=919.21 and 629.34, P<0.001). According to the SUA/Cr quartile, the population was divided into four groups. After adjusting for gender, age, smoking history and drinking history, SUA/Cr in group Q1 was positively correlated with BMI and TG (r=0.061 and 0.080, P<0.05), but negatively correlated with HDL-C (r=-0.057, P<0.05). Multivariate logistic regression results showed that after adjusting for age, sex, smoking history and drinking history, the risk of MS for BMI, SBP, DBP, FBG, TG, HDL-C and SUA/Cr [OR (95%CI)] were: 1.44 (1.41-1.47), 1.07 (1.06-1.07), 1.10 (1.10-1.11), 1.83 (1.73-1.92), 1.89 (1.79-1.99), 0.08 (0.06-0.10) and 1.54 (1.47-1.62). Compared with SUA/Cr group Q1, the risk of MS in group Q2, Q3 and Q4 increased by 75%, 162% and 346%, respectively. In conclusion, there was an independent positive correlation between SUA/Cr and MS risk in Nantong area.
Collapse
Affiliation(s)
- F Bao
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - Y Wang
- School of Public Health, Nantong University, Nantong 226019, China
| | - S Q Ju
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - W J Sun
- School of Public Health, Nantong University, Nantong 226019, China
| | - Y H Li
- School of Public Health, Nantong University, Nantong 226019, China
| | - Y C Zhang
- School of Public Health, Nantong University, Nantong 226019, China
| | - X Y Sun
- Department of Blood Transfusion, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - C Jiang
- Department of Blood Transfusion, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - H Cong
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| |
Collapse
|
45
|
Yu YC, Shi TM, Gu SL, Li YH, Yang XM, Fan Q, Wang YD. A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy. Front Oncol 2022; 12:1053800. [PMID: 36408176 PMCID: PMC9667097 DOI: 10.3389/fonc.2022.1053800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 10/21/2022] [Indexed: 11/05/2022] Open
Abstract
Herein, A non-invasive pathomics approach was developed to reveal the methylation status in patients with cervical squamous cell carcinoma and predict clinical outcomes and treatment response. Using the MethylMix algorithm, 14 methylation-driven genes were selected for further analysis. We confirmed that methylation-driven genes were differentially expressed in immune, stromal, and tumor cells. In addition, we constructed a methylation-driven model and explored the alterations in immunocyte infiltration between the different models. The methylation-driven subtypes identified in our investigation could effectively predict the clinical outcomes of cervical cancer. To further evaluate the level of methylation-driven patterns, we constructed a risk model with four genes. Significant correlations were observed between the score and immune response markers, including PD1 and CTLA4. Multiple immune infiltration algorithms evaluated the level of immunocyte infiltration between the high- and low-risk groups, while the components of anti-tumor immunocytes in the low-risk group were significantly increased. Subsequently, a total of 205 acquired whole-slide imaging (WSI) images were processed to capture image signatures, and the pathological algorithm was employed to construct an image prediction model based on the risk score classification. The model achieved an area under the curve (AUC) of 0.737 and 0.582 for the training and test datasets, respectively. Moreover, we conducted vitro assays for validation of hub risk gene. The proposed prediction model is a non-invasive method that combines pathomics features and genomic profiles and shows satisfactory performance in predicting patient survival and treatment response. More interdisciplinary fields combining medicine and electronics should be explored in the future.
Collapse
Affiliation(s)
- Yu-Chong Yu
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tian-Ming Shi
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sheng-Lan Gu
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Hong Li
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Ming Yang
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiong Fan
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Yu-Dong Wang, ; Qiong Fan,
| | - Yu-Dong Wang
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology Affiliated to The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Yu-Dong Wang, ; Qiong Fan,
| |
Collapse
|
46
|
Wu X, Xu R, Yu W, Huang F, Zheng XJ, Zhao XR, Li YH, Duan Y. [In situ recurrence and sacral metastasis after surgery: a case of adrenal pheochromocytoma]. Zhonghua Nei Ke Za Zhi 2022; 61:1260-1262. [PMID: 36323570 DOI: 10.3760/cma.j.cn112138-20211229-00924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- X Wu
- Department of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan 250014, China
| | - R Xu
- Department of Cardiology, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - W Yu
- Department of Cardiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan 250014, China
| | - F Huang
- Department of Medical Ultrasound, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - X J Zheng
- Department of Cardiology, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - X R Zhao
- Department of Cardiology, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - Y H Li
- Department of Cardiology, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| | - Yanhua Duan
- Department of Nuclear Medicine, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan 250014, China
| |
Collapse
|
47
|
Zhao DW, Zhou ZH, Zhao JL, Chen D, Yang ZY, Wang J, Long XB, Zhang YJ, Yang P, Cao Y, Li JB, Zhou FJ, Li YH. [Landscape and metastases of the lymph nodes in prostatic anterior fat pad at radical prostatectomy]. Zhonghua Wai Ke Za Zhi 2022; 60:999-1003. [PMID: 36323582 DOI: 10.3760/cma.j.cn112139-20220224-00082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objectives: To examine the landscape and metastases of the lymph nodes in prostatic anterior fat pad (PAFP) at radical prostatectomy (RP), and to describe the clinical characteristic of the patients with lymph node metastases in PAFP. Methods: The clinical and pathological data of 287 prostate cancer patients underwent RP from December 2019 to August 2021 in Department of Urology, Sun Yat-sen University Cancer Center were collected and analyzed retrospectively. All patients were male, aging (66±7) years (range: 42 to 83 years). The preoperative prostate-specific antigen (PSA) (M(IQR)) were 16.00(29.64) μg/L (range: 0.01 to 99.90 μg/L). There were 244 patients with localized or locally advanced prostate cancer and 43 patients with metastatic prostate cancer. All PAFP were dissected at RP routinely and were sent for pathologic analysis respectively. The PAFP was dissected from the prostate apex caudally toward the bladder neck and dissection extended to the joint of the prostate and the endopelvic fascia bilaterally. All the specimen of PAFP were examined and reported by subspecialty pathologists of genitourinary tumors. Statistical analysis was performed by Student t test, Wilcoxon rank-sum test, χ2 test or Fisher exact test. Results: There were 8.0% (23/287) patients with lymph nodes in PAFP, 3.8% (11/287) patients with PAFP lymph node metastases. Pathologically upstaged occurred in 1 patient due to the PAFP lymph node as the solitary metastatic lesion. Patients with lymph node metastases in PAFP presented higher preoperative PSA (M(IQR): 48.2(73.0) μg/L vs. 15.4(26.5) μg/L, Z=3.158, P=0.002), clinical T stage and N stage (Z=2.977, P=0.003; Z=2.780, P=0.005) and preoperative Gleason score (Z=2.205, P=0.027). Conclusions: Routine dissection of PAFP at RP and separately pathological analysis may allow more lymph nodes and lymph node metastases detection. More accurate pathological N stage may be acquired and consequently may improve the survival of patients by offering more appropriate adjuvant or salvage therapy.
Collapse
Affiliation(s)
- D W Zhao
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Z H Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - J L Zhao
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - D Chen
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Z Y Yang
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - J Wang
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - X B Long
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Y J Zhang
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - P Yang
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Y Cao
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - J B Li
- Department of Good Clinical Practice, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Y H Li
- Department of Urology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collabrative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| |
Collapse
|
48
|
Yang DK, Liao LY, Li YH, Zhong GQ, Zhang XJ, Zhang W, Hao BL, Hu LQ, Wan BN, Hu ZM, Zhang YM, Gorini G, Nocente M, Tardocchi M, Li XQ, Xiao CJ, Fan TS. Simulations of neutral beam injection and ion cyclotron resonance heating synergy in high power EAST scenarios. Rev Sci Instrum 2022; 93:113501. [PMID: 36461431 DOI: 10.1063/5.0101645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/28/2022] [Indexed: 06/17/2023]
Abstract
The EAST plasmas heated with deuterium neutral beam injection and ion cyclotron resonance heating (ICRH) have been simulated by the TRANSP code. The analysis has been conducted using the full wave solver TORIC5, the radio frequency (RF)-kick operator, and NUBEAM to model the RF heating effects on fast ion velocity distribution. In this work, we present several simulated results compared with experiments for high power EAST scenarios, indicating that the interactions between ICRH and fast ions can significantly accelerate fast ions, which are confirmed by the increased neutron yield and broadened neutron emission spectrum measurements.
Collapse
Affiliation(s)
- D K Yang
- State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - L Y Liao
- State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Y H Li
- State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - G Q Zhong
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
| | - X J Zhang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
| | - W Zhang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
| | - B L Hao
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
| | - L Q Hu
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
| | - B N Wan
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
| | - Z M Hu
- Interdisciplinary InnoCentre for Nuclear Technology, Nanjing University, Nanjing 211106, Jiangsu, China
| | - Y M Zhang
- China Academy of Engineering Physics, Mianyang 621900, Sichuan, China
| | - G Gorini
- Dipartimento di Fisica "G. Occhialini," Università degli Studi di Milano-Bicocca, Milano 20126, Italy
| | - M Nocente
- Dipartimento di Fisica "G. Occhialini," Università degli Studi di Milano-Bicocca, Milano 20126, Italy
| | - M Tardocchi
- Institute for Plasma Science and Technology, National Research Council, Milan 20125, Italy
| | - X Q Li
- State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - C J Xiao
- State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - T S Fan
- State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| |
Collapse
|
49
|
Ma T, Li YH, Chen MM, Ma Y, Gao D, Chen L, Ma Q, Zhang Y, Liu JY, Wang XX, Dong YH, Ma J. [Associations between early onset of puberty and obesity types in children: Based on both the cross-sectional study and cohort study]. Beijing Da Xue Xue Bao Yi Xue Ban 2022; 54. [PMID: 36241240 PMCID: PMC9568395 DOI: 10.19723/j.issn.1671-167x.2022.05.025] [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] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
OBJECTIVE To explore and analyze the relationship between early onset of puberty and different types of obesity in children, by combining large sample cross-sectional survey data with long-term longitudinal cohort data, so as to provide clues for further clarifying the health hazards of early onset of puberty and obesity prevention and control. METHODS The research data were from the cross-sectional survey data of seven provinces(autonomous regions, municipalities) in China and the cohort data of adolescent development in Xiamen. The study first found the association between early onset of puberty and obesity by Logistic regression on the cross-sectional data, and then used Poisson regression to analyze the association between early puberty initiation and various types of obesity risk. RESULTS In the study, 43 137 and 1 266 children were included in the cross-sectional survey and cohort survey respectively. The cross-sectional study found that among the girls aged 10-13 years, compared with the girls of the same age who did not start puberty, the body mass index (BMI)-Z score of the girls in the puberty start group was 0.5-0.8 higher, and the waist circumference Z score was 0.4-0.7 higher, and the risk of various types of obesity was higher. At the same time, the early onset of puberty was positively correlated with simple obesity, central obesity and compound obesity, the OR (95%CI) were 1.86 (1.42-2.44), 1.95 (1.65-2.32) and 1.86 (1.41-2.45), respectively. No significant association was found in boys. According to the cohort data, in girls, the risk of simple obesity was 6.00 times [RR (95%CI): 6.00 (1.07-33.60)], the risk of central obesity was 3.30 times [RR (95%CI): 3.30 (1.22-8.92)], and the risk of compound obesity was 5.76 times [RR (95%CI): 5.76 (1.03-32.30)], compared with the group without early puberty initiation, while no association between early puberty initiation and obesity was found in boys. CONCLUSION Based on the cross-sectional survey and longitudinal cohort survey, it is confirmed that the early onset of puberty in girls may increase the risk of simple obesity, central obesity and compound obesity, while there is no significant correlation between puberty onset and obesity in boys.
Collapse
Affiliation(s)
- T Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Y H Li
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - M M Chen
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Y Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - D Gao
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - L Chen
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Q Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Y Zhang
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - J Y Liu
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - X X Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
| | - Y H Dong
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - J Ma
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| |
Collapse
|
50
|
Chen CY, Li YH, Lee CH, Lin HW, Lin SH. Legacy effects of infection in patients with heart failure: a national cohort study of 31,318 patients in Taiwan. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Although infection is a common cause of hospitalization in patients (pts) with heart failure (HF), the long-term cardiovascular (CV) prognosis in HF after infection is not well studied.
Methods and results
From 2009 to 2015, 310,485 pts with their first HF admissions and survival to discharge were identified from the National Health Insurance Research Database. Among the pts, 103,505 (33.3%) were readmitted within 1 year after HF discharge for infection, including pneumonia (44.2%), urinary tract infection (UTI) (37.9%), skin and soft tissue infections (9.7%), and others (8.1%). Those without admission for any infection were controls. We compared the primary composite endpoint, including all-cause death, acute myocardial infarction (AMI), stroke, and hospitalization for HF (HHF) between the 2 groups after the infection episode. After propensity score matching, the clinical characteristics (age 71.7±13.9 years, male 52.0%) and treatment were similar between the groups (n=15,659 in each group). In a mean follow-up time of 4.3±2.9 years, 86.2% pts with a history of infection admission and 63.6% pts in the control group met the primary endpoint. Multivariate Cox proportional hazards analysis showed the infection group had a higher risk of the primary composite endpoint (HR 1.760, 95% CI 1.714–1.807), including all-cause death (HR 1.587, 95% CI: 1.540–1.636), HHF (HR 1.993, 95% CI 1.922–2.066), AMI (HR 1.332, 95% CI 1.224–1.450), and stroke (HR 1.769, 95% CI 1.664–1.882). In infection group, HHF was the earliest outcome event with a mean time of 17.5 months and mortality is the second early event with a mean time of 23 months after discharge from the infection episode. Pneumonia carried a higher risk than UTI for the primary composite endpoint (HR 1.140, 95% CI 1.104–1.178).
Conclusions
One-third of HF pts discharged from the hospital experienced acute infection that required readmission. The pts had worse CV prognosis after readmission for infectious disease compared to those without infection
Funding Acknowledgement
Type of funding sources: Private hospital(s). Main funding source(s): This study is supported by National Cheng Kung University Hospital and Tainan Hospital, Ministry of Health and Welfare, Taiwan.
Collapse
Affiliation(s)
- C Y Chen
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - Y H Li
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - C H Lee
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - H W Lin
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - S H Lin
- National Cheng Kung University , Tainan , Taiwan
| |
Collapse
|