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Shao L, Yang X, Sun Z, Tan X, Lu Z, Hu S, Dou W, Duan S. Three-dimensional pseudo-continuous arterial spin-labelled perfusion imaging for diagnosing upper cervical lymph node metastasis in patients with nasopharyngeal carcinoma: a whole-node histogram analysis. Clin Radiol 2024; 79:e736-e743. [PMID: 38341343 DOI: 10.1016/j.crad.2024.01.017] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 02/12/2024]
Abstract
AIM To evaluate whole-node histogram parameters of blood flow (BF) maps derived from three-dimensional pseudo-continuous arterial spin-labelled (3D pCASL) imaging in discriminating metastatic from benign upper cervical lymph nodes (UCLNs) for nasopharyngeal carcinoma (NPC) patients. MATERIALS AND METHODS Eighty NPC patients with a total of 170 histologically confirmed UCLNs (67 benign and 103 metastatic) were included retrospectively. Pre-treatment 3D pCASL imaging was performed and whole-node histogram analysis was then applied. Histogram parameters and morphological features, such as minimum axis diameter (MinAD), maximum axis diameter (MaxAD), and location of UCLNs, were assessed and compared between benign and metastatic lesions. Predictors were identified and further applied to establish a combined model by multivariate logistic regression in predicting the probability of metastatic UCLNs. Receiver operating characteristic (ROC) curves were used to analyse the diagnostic performance. RESULTS Metastatic UCLNs had larger MinAD and MinAD/MaxAD ratio, greater energy and entropy values, and higher incidence of level II (upper jugular group), but lower BF10th value than benign nodes (all p<0.05). MinAD, BF10th, energy, and entropy were validated as independent predictors in diagnosing metastatic UCLNs. The combined model yielded an area under the curve (AUC) of 0.932, accuracy of 84.42 %, sensitivity of 80.6 %, and specificity of 90.29 %. CONCLUSIONS Whole-node histogram analysis on BF maps is a feasible tool to differentiate metastatic from benign UCLNs in NPC patients, and the combined model can further improve the diagnostic efficacy.
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Affiliation(s)
- L Shao
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - X Yang
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - Z Sun
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China.
| | - X Tan
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - Z Lu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - S Hu
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi City, Jiangsu, China
| | - W Dou
- General Electric (GE) Healthcare, MR Research China, Beijing, China
| | - S Duan
- General Electric (GE) Healthcare China, Shanghai, China
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Li Y, Zhang W, Du J, Hu J, Hu R, Zeng Z, Jin-Si-Han EEMBK, Lian S, Wang H, Li Y, Pan Z, Feng C, Zhang X, Lu Z. Efficacy and Safety of Neoadjuvant Subcutaneous Envafolimab in dMMR/MSI-H Locally Advanced Colon Cancer. Target Oncol 2024:10.1007/s11523-024-01064-x. [PMID: 38691294 DOI: 10.1007/s11523-024-01064-x] [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] [Subscribe] [Scholar Register] [Accepted: 04/08/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND Neoadjuvant immunotherapy with programmed death-ligand 1 blockade for colon cancer, especially for mismatch repair-deficient (dMMR)/high microsatellite instability (MSI-H) colon cancer, has gained considerable attention recently. OBJECTIVE This study aimed to assess the safety and efficacy of neoadjuvant subcutaneous envafolimab in patients with dMMR/MSI-H locally advanced colon cancer. METHODS Patients with dMMR/MSI-H locally advanced colon cancer treated with envafolimab at Sun Yat-sen University Cancer Center and Yunnan Cancer Hospital from October 2021 to July 2023 were retrospectively reviewed and analyzed. The primary endpoint was the pathological complete response (CR) rate, and secondary endpoints were treatment-related adverse events and complete clinical response rate. RESULTS Overall, 15 patients were analyzed. After neoadjuvant immunotherapy with envafolimab, six patients achieved a CR, with five partial responses, and four stable disease. Three patients achieving a complete clinical response chose to accept a "watch and wait" strategy, and surgery was performed in 12 patients. Postoperative pathology results revealed seven patients achieved pathological CRs, and five patients achieved tumor regression grade 2, with 66.7% of the total CR rate. The most common treatment-related adverse events were pruritus and rash (40%), with no severe cases. No recurrences occurred over a 7.9-month follow-up. CONCLUSIONS Envafolimab yielded promising surgical outcomes and safety in dMMR/MSI-H locally advanced colon cancer, representing a promising treatment modality for this population.
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Affiliation(s)
- Yuan Li
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Weili Zhang
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Jie Du
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650000, Yunnan, People's Republic of China
| | - Jinlong Hu
- Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Ruixi Hu
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650000, Yunnan, People's Republic of China
| | - Ziyang Zeng
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - E-Er-Man-Bie-Ke Jin-Si-Han
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Shaopu Lian
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Hao Wang
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Yunfeng Li
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650000, Yunnan, People's Republic of China
| | - Zhizhong Pan
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China
| | - Cheng Feng
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China.
| | - Xuan Zhang
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650000, Yunnan, People's Republic of China.
| | - Zhenhai Lu
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, 651 Dongfeng Road East, Guangzhou, 510060, Guangdong, People's Republic of China.
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Tai Y, Chen Z, Luo T, Luo B, Deng C, Lu Z, Wen S, Wang J. MOF@COF Nanocapsules Enhance Soft Tissue Sarcoma Treatment: Synergistic Effects of Photodynamic Therapy and PARP Inhibition on Tumor Growth Suppression and Immune Response Activation. Adv Healthc Mater 2024; 13:e2303911. [PMID: 38215731 DOI: 10.1002/adhm.202303911] [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: 11/08/2023] [Revised: 01/07/2024] [Indexed: 01/14/2024]
Abstract
Soft tissue sarcomas (STS) are highly malignant tumors with limited treatment options owing to their heterogeneity and resistance to conventional therapies. Photodynamic therapy (PDT) and poly-ADP-ribose polymerase (PARP) inhibitors (PARPi) have shown potential for STS treatment, with PDT being effective for sarcomas located on the extremities and body surface and PARPi targeting defects in homologous recombination repair. To address the limitations of PDT and harness the potential of PARPi, herein, a novel therapeutic approach for STS treatment combining nanocapsules bearing integrated metal-organic frameworks (MOFs) and covalent organic frameworks (COFs), i.e., MOF@COF, with PDT and PARPi is proposed. Nanocapsules are designed, referred to as ZTN@COF@poloxamer, which contain a Zr-based MOF and tetrakis (4-carbethoxyphenyl) porphyrin as a photosensitizer, are coated with a COF to improve the sensitizing properties, and are loaded with niraparib to inhibit DNA repair. Experiments demonstrate that this new nanocapsules treatment significantly inhibits STS growth, promotes tumor cell apoptosis, exhibits high antitumor activity with minimal side effects, activates the immune response of the tumor, and inhibits lung metastasis in vivo. Therefore, MOF@COF nanocapsules combined with PARPi offer a promising approach for STS treatment, with the potential to enhance the efficacy of PDT and prevent tumor recurrence.
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Affiliation(s)
- Yi Tai
- Department of Musculoskeletal Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Zhihao Chen
- Department of Musculoskeletal Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Tianqi Luo
- Department of Musculoskeletal Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Bingling Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Chuangzhong Deng
- Department of Musculoskeletal Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Zhenhai Lu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Shijun Wen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
| | - Jin Wang
- Department of Musculoskeletal Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, P. R. China
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Li Y, Xu J, Chen C, Lu Z, Wan D, Li D, Li JS, Sorg AJ, Roberts CC, Mahajan S, Gallant MA, Pinkoviezky I, Cui Y, Taggart DJ, Li W. Multimodal epigenetic sequencing analysis (MESA) of cell-free DNA for non-invasive colorectal cancer detection. Genome Med 2024; 16:9. [PMID: 38225592 PMCID: PMC10790422 DOI: 10.1186/s13073-023-01280-6] [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: 05/09/2023] [Accepted: 12/22/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Detecting human cancers through cell-free DNA (cfDNA) in blood is a sensitive and non-invasive option. However, capturing multiple forms of epigenetic information remains a technical and financial challenge. METHODS To address this, we developed multimodal epigenetic sequencing analysis (MESA), a flexible and sensitive approach to capturing and integrating a diverse range of epigenetic features in cfDNA using a single experimental assay, i.e., non-disruptive bisulfite-free methylation sequencing, such as Enzymatic Methyl-seq. MESA enables simultaneous inference of four epigenetic modalities: cfDNA methylation, nucleosome occupancy, nucleosome fuzziness, and windowed protection score for regions surrounding gene promoters and polyadenylation sites. RESULTS When applied to 690 cfDNA samples from 3 colorectal cancer clinical cohorts, MESA's novel modalities, which include nucleosome fuzziness, and genomic features, including polyadenylation sites, improve cancer detection beyond the traditional epigenetic markers of promoter DNA methylation. CONCLUSIONS Together, MESA stands as a major advancement in the field by utilizing comprehensive and complementary epigenetic profiles of cfDNA for effective non-invasive cancer detection.
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Affiliation(s)
- Yumei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA
- School of Biology and Basic Medical Sciences, Soochow University, Suzhou, 215123, P. R. China
| | | | - Chaorong Chen
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA
| | - Zhenhai Lu
- 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
| | - Desen Wan
- 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
| | - Diange Li
- Guangzhou Youze Biological Pharmaceutical Technology Company Ltd, Guangzhou, 510005, P. R. China
| | - Jason S Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA
| | | | | | | | | | | | - Ya Cui
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA
| | | | - Wei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA.
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Li W, Zhou C, Yu L, Hou Z, Liu H, Kong L, Xu Y, He J, Lan J, Ou Q, Fang Y, Lu Z, Wu X, Pan Z, Peng J, Lin J. Tumor-derived lactate promotes resistance to bevacizumab treatment by facilitating autophagy enhancer protein RUBCNL expression through histone H3 lysine 18 lactylation (H3K18la) in colorectal cancer. Autophagy 2024; 20:114-130. [PMID: 37615625 PMCID: PMC10761097 DOI: 10.1080/15548627.2023.2249762] [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: 02/21/2023] [Revised: 08/10/2023] [Accepted: 08/13/2023] [Indexed: 08/25/2023] Open
Abstract
Bevacizumab plays an important role in the first and second line treatment for metastatic colorectal cancer (CRC). And induction of hypoxia and the tumors response to it plays an important role in determining the efficacy of antiangiogenic therapy while the connection between them remains unclear. Here, we found that lactate accumulated in the tumor environment of CRC and acted as substrates for histone lactylation, and this process was further induced by cellular enhanced glycolysis in hypoxia. We determined that CRC patients resistant to bevacizumab treatment presented with elevated levels of histone lactylation and inhibition of histone lactylation efficiently suppressed CRC tumorigenesis, progression and survival in hypoxia. Histone lactylation promoted the transcription of RUBCNL/Pacer, facilitating autophagosome maturation through interacting with BECN1 (beclin 1) and mediating the recruitment and function of the class III phosphatidylinositol 3-kinase complex, which had a crucial role in hypoxic cancer cells proliferation and survival. Moreover, combining inhibition of histone lactylation and macroautophagy/autophagy with bevacizumab treatment demonstrated remarkable treatment efficacy in bevacizumab-resistance patients-derived pre-clinical models. These findings delivered a new exploration and important supplement of metabolic reprogramming-epigenetic regulation, and provided a new strategy for improving clinical efficacy of bevacizumab in CRC by inhibition of histone lactylation.Abbreviations: 2-DG: 2-deoxy-D-glucose; BECN1: beclin 1; CQ: chloroquine; CRC: colorectal cancer; DMOG: dimethyloxalylglycine; H3K18la: histone H3 lysine 18 lactylation; MAP1LC3B/LC3B: microtubule associated protein 1 light chain 3 beta; Nala: sodium lactate; PDO: patient-derived orgnoid; PDX: patient-derived xenograft; RUBCNL/Pacer: rubicon like autophagy enhancer; SQSTM1/p62: sequestosome 1.
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Affiliation(s)
- Weihao Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Chi Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Long Yu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zhenlin Hou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Huashan Liu
- Department of Colorectal Surgery and Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lingheng Kong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Yanbo Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Jiahua He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Jin Lan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Qingjian Ou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Yujing Fang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zhenhai Lu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Xiaojun Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zhizhong Pan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Jianhong Peng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Junzhong Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
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Feng C, Li Y, Zang M, Jin-Si-Han EEMBK, He M, Lu Z. Unveiling the Research Landscape and Emerging Trends in Cell Cycle for Cancer Immunotherapy: A Bibliometric Analysis (1990-2022). Med Sci Monit 2023; 29:e940556. [PMID: 38037303 DOI: 10.12659/msm.940556] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND The direct and indirect roles of the cell cycle in immunology of the tumor microenvironment (TME) are topics of intense scientific interest. Therefore, this study aimed to investigate the knowledge domain and hotspots related to the cell cycle for cancer immunology applications. MATERIAL AND METHODS The Web of Science Core Collection (WoSCC) was used as a powerful tool for identifying articles related to cell cycle for cancer immunology applications. Co-occurrence relationships were examined with R, VOSviewer, and CiteSpace software. Related research hotspots and possible future trends were also examined. RESULTS A total of 1844 qualified English-language documents were obtained in WoSCC between 1999 and 2022, with a 7.66% annual growth rate. These eligible studies were co-authored by 2246 institutions in 51 countries/regions, with the greatest article number being published in the United States (36%, 664/1844), followed by China (19%, 351/1844) and Germany (4.5%, 83/1844). The top 3 institutions with the most publications and the top 3 academic journals (n=390 in total) on this topic that published the most articles were identified. Key nodes from the co-cited network were aggregated and identified to reveal the shift in cell cycle for cancer immunology applications. Notably, the current research hotspots in this field include "tumor progression", "chemotherapy", "resistance", "clinical trial", and "target population". CONCLUSIONS This study revealed field profiles, research hotspots, and future directions of cell cycle dysregulation-related immunology, and the findings will offer a vigorous roadmap for further studies in the combination therapy of cell cycle inhibitors and immune checkpoint inhibitors for treating various cancers. Our results can shed more light on relevant research in this field.
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Affiliation(s)
- Cheng Feng
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Yuan Li
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Mengya Zang
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China (mainland)
| | - E-Er-Man-Bie-Ke Jin-Si-Han
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Meng He
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, Guangdong, China (mainland)
| | - Zhenhai Lu
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
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7
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Liu S, Sharp A, Lu Z, Ma ZF. Maternal iodine intake and adherence to iodine supplement recommendations in a group of Chinese women: the results from the WIN cohort study - CORRIGENDUM. Proc Nutr Soc 2023; 82:492. [PMID: 37078399 DOI: 10.1017/s0029665123002768] [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: 04/21/2023]
Affiliation(s)
- S Liu
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
- Harris-Wellbeing Research Centre, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - A Sharp
- Harris-Wellbeing Research Centre, Faculty of Health & Life Sciences, University of Liverpool, Liverpool, UK
| | - Z Lu
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Z F Ma
- Department of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
- Centre for Public Health and Wellbeing, School of Health and Social Wellbeing, College of Health, Science and Society, University of the West of England, Bristol, UK
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Yan S, Tu CY, Du CY, Luo J, Liu JF, Liu TQ, Liu Q, Liu J, Li XH, Wang LC, Fang ZP, Yi WM, Chen YJ, Li QL, Ni Y, Wu JC, Qin CJ, Gu YL, Lu Z, Lun ZJ, Du LX, Chen G, Zheng QC, Sun KJ, Han WQ, Yu J. [Effect of recombinant human thrombin for hemostasis in liver resection: a randomized controlled phase Ⅲ clinical trial]. Zhonghua Yi Xue Za Zhi 2023; 103:3416-3423. [PMID: 37963740 DOI: 10.3760/cma.j.cn112137-20230911-00438] [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: 11/16/2023]
Abstract
Objective: To evaluate the hemostatic efficacy, safety and immunogenicity of recombinant human thrombin in the treatment of liver wounds that still ooze after conventional surgical hemostasis. Methods: A multicenter, stratified randomized, double-blind, placebo-controlled phase Ⅲ trial with a planned enrollment of 510 subjects at 33 centers, with a 2∶1 randomization to the thrombin group versus the placebo group. An interim analysis will be conducted after approximately 70% of the subjects have completed the observation period. The primary efficacy endpoint was the rate of hemostasis within 6 minutes at the point of bleeding that could be evaluated. Safety analysis was performed one month after surgery, and the positive rates of anti-drug antibody (ADA) and neutralizing antibody were evaluated. Results: At the interim analysis, a total of 348 subjects had been randomized and received the study drug (215 were male and 133 were female). They were aged 19-69 (52.9±10.9)years. Among them, 232 were in the thrombin group and 116 were in the placebo group, with balanced and comparable demographics and baseline characteristics between the two groups. The hemostasis rate at 6 minutes was 71.6% (95%CI:65.75%-77.36%) in the thrombin group and 44.0% (95%CI: 34.93%-53.00%) in the placebo group, respectively (P<0.001). No grade≥3 drug-related adverse events and no drug-related deaths were reported from the study.No recombinant human thrombin-induced immunologically-enhanced ADA or immunologically-induced ADA was detected after topical use in subjects. Conclusion: Recombinant human thrombin has shown significant hemostatic efficacy and good safety in controlling bleeding during liver resection surgery, while also demonstrating low immunogenicity characteristics.
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Affiliation(s)
- S Yan
- Department of Hepatobiliary and Pancreatic Surgery, the Second Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - C Y Tu
- Department of General Surgery, Lishui Central Hospital, Lishui 323020, China
| | - C Y Du
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400042, China
| | - J Luo
- Department of Hepatobiliary and Intestinal Surgery, Hunan Cancer Hospital, Changsha 410031, China
| | - J F Liu
- Department of Hepatobiliary and Pancreatic Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - T Q Liu
- Department of General Surgery, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - Q Liu
- Department of Hepatobiliary Surgery, Liuzhou People's Hospital, Liuzhou 545006, China
| | - J Liu
- Department of Hepatobiliary Surgery, Guizhou Provicial People's Hospital, Guiyang 550002, China
| | - X H Li
- Department of Hepatobiliary Surgery, Liaocheng People's Hospital, Liaocheng 252000, China
| | - L C Wang
- Department of General Surgery, the Third People's Hospital of Hainan Province, Sanya 572000, China
| | - Z P Fang
- Department of Hepatobiliary Surgery, Taizhou Hospital of Zhejiang Province, Linhai 317099, China
| | - W M Yi
- Department of Hepatobiliary Surgery, Hunan Provincial People's Hospital, Changsha 410005, China
| | - Y J Chen
- Department of Hepatobiliary Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou 510120, China
| | - Q L Li
- Department of Hepatobiliary and Pancreatic Surgery, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - Y Ni
- Department of Hepatobiliary and Pancreatic Surgery, Shenzhen Second People's Hospital, Shenzhen 518035, China
| | - J C Wu
- Department of Hepatobiliary Surgery, Hainan Provincial People's Hospital, Haikou 570311, China
| | - C J Qin
- Department of General Surgery, Huaihe Hospital of Henan University, Kaifeng 475000, China
| | - Y L Gu
- Department of Hepatobiliary Surgery, Affiliated Hospital of Jiangnan Univeisity, Wuxi 214122, China
| | - Z Lu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Z J Lun
- Department of Hepatobiliary Vascular Surgery, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - L X Du
- Department of Hepatobiliary Surgery, Shanxi Provincial People's Hospital, Xi'an 710068, China
| | - G Chen
- Department of Hepatobiliary and Pancreatic Surgery, the First People's Hospital of Kunming, Kunming 650034, China
| | - Q C Zheng
- Department of Hepatobiliary Surgery, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430022, China
| | - K J Sun
- Department of Hepatobiliary Surgery, Zibo Central Hospital, Zibo 255036, China
| | - W Q Han
- Department of Urinary Surgery, Hunan Cancer Hospital, Changsha 410031, China
| | - J Yu
- Department of Hepatobiliary and Pancreatic Surgery, the First Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
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Feng C, Li Y, Tai Y, Zhang W, Wang H, Lian S, Jin-Si-Han EEMBK, Liu Y, Li X, Chen Q, He M, Lu Z. A neutrophil extracellular traps-related classification predicts prognosis and response to immunotherapy in colon cancer. Sci Rep 2023; 13:19297. [PMID: 37935721 PMCID: PMC10630512 DOI: 10.1038/s41598-023-45558-6] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023] Open
Abstract
Neutrophil extracellular traps (NETs) have been categorized as a form of inflammatory cell death mode of neutrophils (NETosis) involved in natural immunity and the regulation of adaptive immunity. More and more studies revealed the ability of NETs to reshape the tumor immune microenvironment (TIME) by limiting antitumor effector cells, which may impair the efficacy of immunotherapy. To explore whether NETs-related genes make vital impacts on Colon carcinoma (COAD), we have carried out a systematic analysis and showed several findings in the present work. First, we obtained the patient's data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) dataset, aiming to detect two NETs-associated subtypes by consensus clustering. For the purpose of annotating the roles of NETs-related pathways, gene ontology enrichment analyses were adopted. Next, we constructed a 6 novel NETs-related genes score using the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression model. We found that the NETs risk score was notably upregulated in COAD patient samples, and its levels were notably correlated with tumor clinicopathological and immune traits. Then, according to NETs-associated molecular subtypes and the risk signature, this study compared immune cell infiltration calculated through the estimate, CIBERSORT, TIMER, ssGSEA algorithms, tumor immune dysfunction, as well as exclusion (TIDE). Furthermore, we confirm that MPO(myeloperoxidase) was significantly upregulated in COAD patient samples, and its levels were significantly linked to tumor malignancy and clinic outcome. Moreover, multiplex immunohistochemistry (mIHC) spatial analysis confirmed that MPO was closely related to Treg and PD-1 + Treg in spatial location which suggested MPO may paly an important role in TIME formation. Altogether, the obtained results indicated that a six NETs-related genes prognostic signature was conducive to estimating the prognosis and response of chemo-/immuno-therapy of COAD patients.
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Affiliation(s)
- Cheng Feng
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China
| | - Yuan Li
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China
| | - Yi Tai
- Department of Musculoskeletal Oncology, Sun Yat-Senen University Cancer Center, Guangzhou, 510515, Guangdong, China
| | - Weili Zhang
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China
| | - Hao Wang
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China
| | - Shaopu Lian
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China
| | - E-Er-Man-Bie-Ke Jin-Si-Han
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China
| | - Yuanyuan Liu
- Department of Radiation Oncology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410021, Hunan, China
| | - Xinghui Li
- Department of Cardiology General Hospital of Xinjiang Military Command, No. 359 Youhao North Road, Saybak District, Urumqi, 830001, Xinjiang, China
| | - Qifeng Chen
- Department of Minimally Invasive Interventional Therapy, Liver Cancer Study and Service Group, Sun Yat-Sen University Cancer Center, Guangzhou, 510515, Guangdong, China.
| | - Meng He
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, Guangdong, China.
| | - Zhenhai Lu
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, 510515, Guangdong, China.
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Aguillard DP, Albahri T, Allspach D, Anisenkov A, Badgley K, Baeßler S, Bailey I, Bailey L, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Bedeschi F, Berz M, Bhattacharya M, Binney HP, Bloom P, Bono J, Bottalico E, Bowcock T, Braun S, Bressler M, Cantatore G, Carey RM, Casey BCK, Cauz D, Chakraborty R, Chapelain A, Chappa S, Charity S, Chen C, Cheng M, Chislett R, Chu Z, Chupp TE, Claessens C, Convery ME, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, Debevec PT, Di Falco S, Di Sciascio G, Drendel B, Driutti A, Duginov VN, Eads M, Edmonds A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Froemming NS, Gabbanini C, Gaines I, Galati MD, Ganguly S, Garcia A, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Goodenough L, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Halewood-Leagas T, Hampai D, Han F, Hempstead J, Hertzog DW, Hesketh G, Hess E, Hibbert A, Hodge Z, Hong KW, Hong R, Hu T, Hu Y, Iacovacci M, Incagli M, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler DS, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kinnaird N, Kraegeloh E, Krylov VA, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lu Z, Lucà A, Lukicov G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Mastroianni S, Miller JP, Miozzi S, Mitra B, Morgan JP, Morse WM, Mott J, Nath A, Ng JK, Nguyen H, Oksuzian Y, Omarov Z, Osofsky R, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Price J, Quinn B, Qureshi MUH, Ramachandran S, Ramberg E, Reimann R, Roberts BL, Rubin DL, Santi L, Schlesier C, Schreckenberger A, Semertzidis YK, Shemyakin D, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Weisskopf A, Welty-Rieger L, Winter P, Wu Y, Yu B, Yucel M, Zeng Y, Zhang C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm. Phys Rev Lett 2023; 131:161802. [PMID: 37925710 DOI: 10.1103/physrevlett.131.161802] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/05/2023] [Indexed: 11/07/2023]
Abstract
We present a new measurement of the positive muon magnetic anomaly, a_{μ}≡(g_{μ}-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, ω[over ˜]_{p}^{'}, and of the anomalous precession frequency corrected for beam dynamics effects, ω_{a}. From the ratio ω_{a}/ω[over ˜]_{p}^{'}, together with precisely determined external parameters, we determine a_{μ}=116 592 057(25)×10^{-11} (0.21 ppm). Combining this result with our previous result from the 2018 data, we obtain a_{μ}(FNAL)=116 592 055(24)×10^{-11} (0.20 ppm). The new experimental world average is a_{μ}(exp)=116 592 059(22)×10^{-11} (0.19 ppm), which represents a factor of 2 improvement in precision.
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Affiliation(s)
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - L Bailey
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H P Binney
- University of Washington, Seattle, Washington, USA
| | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- University of Liverpool, Liverpool, United Kingdom
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - S Braun
- University of Washington, Seattle, Washington, USA
| | - M Bressler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- Università di Udine, Udine, Italy
| | | | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- University of Liverpool, Liverpool, United Kingdom
| | - C Chen
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - M Cheng
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - C Claessens
- University of Washington, Seattle, Washington, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | | | - J D Crnkovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | | | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Edmonds
- Boston University, Boston, Massachusetts, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | | | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | | | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | | | - I Gaines
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | | | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - L Goodenough
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Argonne National Laboratory, Lemont, Illinois, USA
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - E Hess
- INFN, Sezione di Pisa, Pisa, Italy
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - T Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Y Hu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | | | | | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D S Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- University of Mississippi, University, Mississippi, USA
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - Z Lu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - B Mitra
- University of Mississippi, University, Mississippi, USA
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Nath
- INFN, Sezione di Napoli, Naples, Italy
| | - J K Ng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Oksuzian
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Z Omarov
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | | | | | - R N Pilato
- University of Liverpool, Liverpool, United Kingdom
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - M U H Qureshi
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Reimann
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- Università di Udine, Udine, Italy
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Cornell University, Ithaca, New York, USA
- Michigan State University, East Lansing, Michigan, USA
- University of Liverpool, Liverpool, United Kingdom
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | - A E Tewsley-Booth
- University of Kentucky, Lexington, Kentucky, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Michigan State University, East Lansing, Michigan, USA
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
- University of Liverpool, Liverpool, United Kingdom
| | - G Venanzoni
- University of Liverpool, Liverpool, United Kingdom
| | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - Y Wu
- Argonne National Laboratory, Lemont, Illinois, USA
| | - B Yu
- University of Mississippi, University, Mississippi, USA
| | - M Yucel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - Y Zeng
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - C Zhang
- University of Liverpool, Liverpool, United Kingdom
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11
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Wu F, Tang X, Zhang Y, Wei L, Wang T, Lu Z, Wei J, Ma S, Jiang L, Gao T, Huang Q. The Role of Radiation Therapy for Metastatic Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e555. [PMID: 37785704 DOI: 10.1016/j.ijrobp.2023.06.1865] [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] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Survival rates for women with metastatic cervical cancer (CC) are low, with limited management options. Radiation therapy (RT) for metastatic disease has led to prolonged survival in other malignancies, however, the data are scarce in CC. Herein, we evaluated the effect of RT for metastatic CC. MATERIALS/METHODS A total of 58 patients with metastatic CC between September 2019 and January 2023 were retrospectively analyzed. All the patients were treated with platinum-based chemotherapy combined with targeted therapy or immunotherapy followed with or without RT (NRT). The recent efficacy, survival status and prognostic factors were analyzed statistically. RESULTS Objective response rate (ORR) was 63.6% with one complete and twenty partial responses in RT group (n = 33) and 40.0% with two complete and eight partial responses in NRT group (n = 25), respectively (p = 0.074). Disease control rate (DCR) of the RT and NRT groups were 79.4% vs 80.0%, respectively (p = 0.861). Median follow-up time was 17 months (3-39months). In RT group, 11(33.3%) patients experienced local regional or distant failure and 9 (27.3%) patients were dead. In NRT group, 15(60%) patients had progression and 8 (32%) patients dead. There was no significant difference between the two groups in overall survival (OS); however, RT group displayed superior progression-free survival (PFS) (1-year OS: 72.7% vs. 68.0%, p = 0.460; 1-year PFS: 66.7% vs. 40.0%, p = 0.039). The multivariate analysis showed that RT, immunotherapy, lymph node metastasis only relevant predictor of superior PFS but not OS. In subgroup analysis, patients treated with RT appeared to have a better PFS in some specific cohorts, such as age>45 years (72.0% vs 36.4% P = 0.015), squamous carcinoma histology (71.0% vs 40.9% P = 0.017), metastatic at diagnosis (75.0% vs 47.6% P = 0.012), non-targeted therapy (72.4% vs 43.8% P = 0.040). No significant increase in treatment-related toxicity was observed in the RT group compared with the NRT group. CONCLUSION RT provided superior PFS in metastatic CC patients compared to NRT, and well tolerated. Moreover, RT, immunotherapy, lymph node metastasis only were independent significant prognostic factors for PFS. Subgroup analysis showed that combination of RT and chemotherapy obtained favorable PFS in metastatic CC patients with age>45 years, squamous carcinoma histology, metastatic at diagnosis, non-targeted therapy. Studies with a larger sample size and longer follow-up are warranted.
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Affiliation(s)
- F Wu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - X Tang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiation Oncology, Liuzhou People's Hospital, Liuzhou, Guangxi, China
| | - Y Zhang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Wang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Z Lu
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - J Wei
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - S Ma
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - L Jiang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - T Gao
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Q Huang
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Zhou Z, Wang Y, Zhao F, Yao G, Yu H, Yu H, Bu L, Lu Z, Yan S. Radiation Induced Lung Injury in Rats after Pre-Oxygenation Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e279-e280. [PMID: 37785046 DOI: 10.1016/j.ijrobp.2023.06.1260] [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] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Deep inspiratory breath holding (DIBH) has been widely used during the radiotherapy of thoracic tumors. The main disadvantage of voluntary DIBH is the short duration of each breath hold. The hypocapnia induced by hyperoxia (oxygen concentration > 50%) pre-oxygenation (PreO2) combined with mechanical hyperventilation has been reported to prolong the duration of single breath hold, but its safety remains controversial, especially the sensitivity of lung tissue to radiation damage under hyperoxia exposure has not been elucidated. In this study, we aim to investigate the changes of radiation induced lung injury in rats after PreO2 radiation. MATERIALS/METHODS We evaluated the lung tissue of rats at different time points (48h, 2w, 4w, 8w, 12w) after thoracic radiation (15Gy single fraction to the right lung), and sequenced the transcriptome of lung tissue at 48 hours after irradiation. Rat cohorts (n = 7/group): 1. Control (Con); 2. Radiation group (RT); 3. Pre-oxygenation (oxygen concentration > 90%) for 8 hours before thoracic radiation (PreO2). RESULTS The inflammatory exudation emerged in the pulmonary interstitium at 48 hours, and reached the most serious alveolitis after four weeks of irradiation (the comparison of alveolitis scores in RT4w vs Con4w and PreO2(4w) vs Con4w, P<0.001) on hematoxylin-eosin staining. While the alveolitis scores in RT group and PreO2 group were not statistically different at each time point. Masson staining showed that the pulmonary fibrosis in the RT group and the PreO2 group reached an obvious pathological change at 12 weeks after irradiation, but the difference between the two groups was not significant. Transcriptome sequencing showed that the number of differential genes in PreO2 vs Con was 559 (302 up-regulated genes and 257 down-regulated genes). The GO enrichment analysis indicated that chromosome segregation was the most significant functional item with P value in the comparative analysis, and the KEGG enrichment analysis suggested that cell division was the most significant enrichment pathway of these differential genes. While there was a small quantity of differential genes in PreO2 vs RT group (3 up-regulated genes and 12 down-regulated genes). Pentose and glucuronate conversions were the most significant enrichment pathway of these differential genes. CONCLUSION This study demonstrated that PreO2 radiotherapy did not increase the severity of radiation induced lung injury in rats compared to conventional radiotherapy. Further study should be conducted to confirm these results and to investigate the regulatory mechanism of pneumonia caused by PreO2 radiotherapy.
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Affiliation(s)
- Z Zhou
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Y Wang
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - F Zhao
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- The First Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - L Bu
- Department of Radiation Oncology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhang Y, Ye X, Ge J, Guo D, Zheng D, Yu H, Chen Y, Yao G, Lu Z, Yuille A, Lu L, Jin D, Yan S. Deep Learning-Based Multi-Modality Segmentation of Primary Gross Tumor Volume in CT and MRI for Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e498. [PMID: 37785566 DOI: 10.1016/j.ijrobp.2023.06.1739] [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] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The delineation of primary gross tumor volume (GTV) of nasopharyngeal carcinoma (NPC) is an essential step for radiotherapy planning. In clinical practice, radiation oncologists manually delineate the GTV in planning CT with the help of diagnostic MRI. This is because NPC tumors are closely adjacent to many important anatomic structures, and CT and MRI provide complementary strength to accurately determine the tumor extension boundary. Manual delineation is time-consuming with the potential registration errors between MRI and CT decreasing the delineation accuracy. In this study, we propose a fully automated GTV segmentation method based on CT and MRI by first aligning MRI to CT, and then, segmenting the GTV using a multi-modality deep learning model. MATERIALS/METHODS We collected 104 nasopharyngeal carcinoma patients with both planning CT and diagnostic MRI scans (T1 & T2 phases). An experienced radiation oncologists manually delineated the GTV, which was further examined by another senior radiation oncologist. Then, a coarse to fine cross-modality registration from MRI to CT was conducted as follows: (1) A rigid transformation was performed on MRI to roughly align MRI to CT with similar anatomic position. (2) Then, the region of interest (RoI) on both CT and rigid-transformed MRI were cropped. (3) A leading cross-modality deformable registration algorithm, named DEEDS, was applied on the cropped MRI and CT RoIs to find an accurate local alignment. Next, using CT and registered MRI as the combined input, a multi-modality deep segmentation network based on nnUNet was trained to generate the GTV prediction. 20% patients were randomly selected as the unseen testing set to quantitatively evaluate the performance. RESULTS The quantitative NPC GTV segmentation performance is summarized in Table 1. The deep segmentation model using CT alone achieved reasonable high performance with 76.6% Dice score and 1.34mm average surface distance (ASD). When both CT and registered MRI were used, the segmentation model further improved the performance by 0.9% Dice score increase and 11% relative ASD error reduction, demonstrating the complementary strength of CT and MRI in determining NPC GTV. Notably, the achieved 77.5% Dice score and 1.19mm ASD by the multimodality model is among the top performing results reported in recent automatic NPC GTV segmentation using either CT or MRI modality. CONCLUSION We developed a fully automated multi-modal deep-learning model for NPC GTV segmentation. The developed model can segment the NPC GTV in high accuracy. With further optimization and validation, this automated model has potential to standardize the NPC GTV segmentation and significantly decrease the workload of radiation oncologists in clinical practice.
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Affiliation(s)
- Y Zhang
- Johns Hopkins University, Baltimore, MD
| | - X Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - D Guo
- Alibaba Group (US) Inc., New York, NY
| | - D Zheng
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Yu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - G Yao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Z Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - A Yuille
- Johns Hopkins University, Baltimore, MD
| | - L Lu
- Alibaba Group (US) Inc., New York, NY
| | - D Jin
- Alibaba Group (US) Inc., New York, NY
| | - S Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Wang X, Leng S, Lu Z, Huang S, Lee BH, Baskaran L, Yew MS, Teo L, Chan MY, Ngiam KY, Lee HK, Zhong L, Huang W. Context-aware deep network for coronary artery stenosis classification in coronary CT angiography. Annu Int Conf IEEE Eng Med Biol Soc 2023; 2023:1-4. [PMID: 38083399 DOI: 10.1109/embc40787.2023.10340650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Automatic coronary artery stenosis grading plays an important role in the diagnosis of coronary artery disease. Due to the difficulty of learning the informative features from varying grades of stenosis, it is still a challenging task to identify coronary artery stenosis from coronary CT angiography (CCTA). In this paper, we propose a context-aware deep network (CADN) for coronary artery stenosis classification. The proposed method integrates 3D CNN with Transformer to improve the feature representation of coronary artery stenosis in CCTA. We evaluate the proposed method on a multicenter dataset (APOLLO study with NCT05509010). Experimental results show that our proposed method can achieve the accuracy of 0.84, 0.83, and 0.86 for stenosis diagnosis on the lesion, artery, and patient levels, respectively.
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Lu Z, Li T, Liu C, Zheng Y, Song J. Development and validation of a survival prediction model and risk stratification for pancreatic neuroendocrine neoplasms. J Endocrinol Invest 2023; 46:927-937. [PMID: 36394822 DOI: 10.1007/s40618-022-01956-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/30/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE We explored risk variables associated with cancer-specific survival (CSS) in patients with pancreatic neuroendocrine neoplasms (PNENs) and created a network dynamic nomogram model to predict patient survival time. METHODS A total of 7750 patients with PNENs were included in this analysis, including 134 with functional PNENs and 7616 with nonfunctional PNENs. Clinical feature and prognosis differences between functional and nonfunctional PNENs were compared. Independent prognostic factors affecting CSS were analyzed by univariate and multifactorial Cox regression. Nomogram and web-based prognosis prediction of PNENs were developed and validated by C indices, decision curve analysis, and calibration plots. RESULTS Patients with functional PNENs were younger at diagnosis than those with nonfunctional PNENs. Functional PNENs had better prognoses than nonfunctional PNENs (5-year survival rates: 78.55% and 71.10%, respectively). Univariate and multifactorial Cox regression analyses showed that tumor infiltration (T), nodal metastasis (N), metastasis (M), tumor site, differentiation grade, age, marital status, and surgical treatment were independent prognostic risk factors for CSS, which were included in the prognostic nomogram and web-based prognosis calculator. The calibration plots and decision curve analysis showed that the nomogram had excellent prediction and clinical practical ability. The C indices for CSS in the training and validation cohorts were 0.848 (95% CI 0.838-0.8578) and 0.823 (95% CI 0.807-0.839), respectively. We scored all patients according to the nomogram and divided patients into three different risk groups. The prognosis of the low-risk population was significantly better than those of the middle- and high-risk populations based on Kaplan-Meier survival curve. CONCLUSION We analyzed the clinical features of PNENs and developed a convenient and web dynamic nomogram to predict CSS.
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Affiliation(s)
- Z Lu
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - T Li
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No. 1 Dahua Road, Dongcheng District, Beijing, 100730, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - C Liu
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Y Zheng
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
- Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - J Song
- Department of General Surgery, Department of Hepato-Bilio-Pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
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Ke P, Xu M, Xu J, Yuan X, Ni W, Sun Y, Zhang H, Zhang Y, Tian Q, Dowling R, Jiang H, Zhao Z, Lu Z. Association of residential greenness with the risk of metabolic syndrome in Chinese older adults: a longitudinal cohort study. J Endocrinol Invest 2023; 46:327-335. [PMID: 36006585 DOI: 10.1007/s40618-022-01904-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
AIMS We aimed to investigate the association between residential greenness and MetS in older Chinese adults. METHODS Longitudinal data on sociodemographic characteristics and lifestyle were collected from the Shenzhen Healthy Ageing Research (SHARE) cohort. Greenness exposure was assessed through satellite-derived Normalized Difference Vegetation Index (NDVI) values in the 250-m, 500-m, and 1250-m radius around the residential address for each participant. MetS was defined by standard guidelines for the Chinese population. RESULTS A total of 49,893 older Chinese adults with a mean age of 70.96 (SD = 5.26) years were included in the study. In the fully adjusted models, participants who lived in the highest quartile of NDVI250-m, NDVI500-m, and NDVI1250-m had a 15% (odds ratio, OR = 0.85, 95% confidence interval, CI: 0.80-0.90), 12% (OR = 0.88, 95% CI: 0.83-0.93), and 11% (OR = 0.89, 95% CI: 0.85-0.95) lower incidence of MetS, respectively, than those living in the lowest quartile (all p-trend < 0.01). Interactions and subgroup analyses showed that age, sex, smoking status, and drinking status were significant effect modifiers (p-interaction for all NDVI < 0.05). CONCLUSIONS Residential greenness is associated with a lower risk of MetS in Chinese older adults, especially for young older adults, females, non-smokers, and non-drinkers.
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Affiliation(s)
- P Ke
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - M Xu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China
| | - J Xu
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - X Yuan
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - W Ni
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Sun
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - H Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Y Zhang
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China
| | - Q Tian
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - R Dowling
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia
| | - H Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Bundoora, Melbourne, VIC, 3086, Australia.
- Centre for Health Equity, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Z Zhao
- Shenzhen Center for Chronic Disease Control, No. 2021 Buxin Road, Shenzhen, 518020, Guangdong, People's Republic of China.
| | - Z Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, Hubei, People's Republic of China.
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Wang F, Lu S, Cao D, Qian J, Li C, Zhang R, Wang F, Wu M, Liu Y, Pan Z, Wu X, Lu Z, Ding P, Li L, Lin J, Catteau A, Galon J, Chen G. Prognostic and predictive value of Immunoscore and its correlation with ctDNA in stage II colorectal cancer. Oncoimmunology 2023; 12:2161167. [PMID: 36632564 PMCID: PMC9828598 DOI: 10.1080/2162402x.2022.2161167] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
This study aimed to validate the prognostic value of Immunoscore (IS) in stage II colorectal cancer (CRC), and explore the roles of IS and circulating tumor DNA (ctDNA) in the adjuvant treatment for early-stage CRC. Resected tumor samples from stage II CRC patients were collected from the Sun Yat-sen University Cancer Center. The densities of CD3+ and CD8+ lymphocytes were quantified and converted to IS and classified into Low, Intermediate (Int), and High groups according to predefined cutoffs. A total of 113 patients were included in the study. Patients with IS-High, Int, and Low were 43 (38%), 62 (55%), and 8 (7%), respectively. Patients with IS-High had an excellent clinical outcome, with none recurring during a median follow-up of 3 years, including 15 (35%) clinical high-risk patients. The 3-year disease-free survival (DFS) was 100% for IS-High, 76% for IS-Int, and 47% for IS-Low (P < .001). In the multivariate Cox analysis, IS was the only significant parameter associated with DFS. IS-Int and IS-Low patients with adjuvant chemotherapy had improved DFS compared to those who did not receive adjuvant chemotherapy (HR = 0.3; 95% CI 0.1-0.92; P = .026). Among the 49 patients with postoperative ctDNA data, IS-High patients had the lowest ctDNA positivity rate, suggesting that they were most eligible for chemotherapy-free treatment. IS had a strong prognostic value in Chinese patients with stage II CRC and demonstrates its clinical utility. IS and ctDNA will jointly optimize the adjuvant treatment strategies for early-stage CRC.
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Affiliation(s)
- Fulong Wang
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Shixun Lu
- Department of Pathology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Di Cao
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Juanjuan Qian
- Department of Medicine, Genecast Biotechnology Co., Ltd, Beijing, China
| | - Cong Li
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Rongxin Zhang
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Feng Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Miaoqing Wu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Yifan Liu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Zhizhong Pan
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Xiaojun Wu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Zhenhai Lu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Peirong Ding
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Liren Li
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | - Junzhong Lin
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
| | | | - Jérôme Galon
- Veracyte, Marseille, France,INSERM, Laboratory of Integrative Cancer Immunology, Paris, France,Equipe Labellisée Ligue Contre le Cancer, Paris, France,Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France,CONTACT Jérôme Galon INSERM, Laboratory of Integrative Cancer Immunology. Cordeliers Research Centre. 15 rue de l’école de médecine, Paris75006, France
| | - Gong Chen
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, Hong Kong, China
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Zhang L, Deng Y, Liu S, Zhang W, Hong Z, Lu Z, Pan Z, Wu X, Peng J. Lymphovascular invasion represents a superior prognostic and predictive pathological factor of the duration of adjuvant chemotherapy for stage III colon cancer patients. BMC Cancer 2023; 23:3. [PMID: 36593480 PMCID: PMC9808960 DOI: 10.1186/s12885-022-10416-7] [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: 08/09/2022] [Accepted: 12/06/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Lymphovascular invasion (LVI) and perineural invasion (PNI) can indicate poor survival outcomes in colorectal cancer, but few studies have focused on stage III colon cancer. The current study aimed to confirm the prognostic value of LVI and PNI and identify patients who could benefit from a complete duration of adjuvant chemotherapy based on the two pathological factors. METHODS We enrolled 402 consecutive patients with stage III colon cancer who received colon tumor resection from November 2007 to June 2016 at Sun Yat-sen University Cancer Center. Survival analyses were performed by using Kaplan-Meier method with log-rank tests. Risk factors related to disease-free survival (DFS) and overall survival (OS) were identified through Cox proportional hazards analysis. RESULTS 141 (35.1%) patients presented with LVI, and 108 (26.9%) patients with PNI. The LVI-positive group was associated with poorer 3-year DFS (86.5% vs. 76.3%, P = 0.001) and OS (96.0% vs. 89.1%, P = 0.003) rates compared with the LVI-negative group. The PNI-positive group showed a worse outcome compared with the PNI-negative group in 3-year DFS rate (72.5% vs. 86.7%, P < 0.001). Moreover, LVI-positive group present better 3-year DFS and OS rate in patients completing 6-8 cycles of adjuvant chemotherapy than those less than 6 cycles (3-year DFS: 80.0% vs. 64.9%, P = 0.019; 3-year OS: 93.2% vs. 76.3%, P = 0.002). CONCLUSIONS LVI is a superior prognostic factor to PNI in stage III colon cancer patients undergoing curative treatment. PNI status can noly predict the 3-year DFS wihout affecting the 3-year OS. Furthermore, LVI also represents an effective indicator for adjuvant chemotherapy duration.
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Affiliation(s)
- Linjie Zhang
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Yuxiang Deng
- grid.440601.70000 0004 1798 0578Department of Thyroid and Breast Surgery, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, 518000 Shenzhen, P. R. China
| | - Songran Liu
- grid.488530.20000 0004 1803 6191Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Weili Zhang
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Zhigang Hong
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Zhenhai Lu
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Zhizhong Pan
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Xiaojun Wu
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
| | - Jianhong Peng
- grid.488530.20000 0004 1803 6191Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangdong 510060 Guangzhou, P. R. China
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Hu M, Chen Z, Hu D, Xi S, Wang D, Zhang X, Fong WP, Wen L, Cai Y, Yuan Y, Li B, Wu X, Lu Z, Chen G, Li L, Ding P, Pan Z, Wan D, Du Z, Chen M, Li Y. Delineating the molecular landscape of different histopathological growth patterns in colorectal cancer liver metastases. Front Immunol 2022; 13:1045329. [PMID: 36591262 PMCID: PMC9800416 DOI: 10.3389/fimmu.2022.1045329] [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: 09/15/2022] [Accepted: 11/14/2022] [Indexed: 12/23/2022] Open
Abstract
Background Histopathological growth patterns (HGPs) have shown important prognostic values for patients with colorectal cancer liver metastases, but the potential molecular mechanisms remain largely unknown. Methods We performed an exploratory analysis by conducting the RNA sequencing of primary colorectal lesions, colorectal liver metastatic lesions and normal liver tissues. Findings We found that desmoplastic HGPs of the metastatic lesions were significantly enriched in EMT, angiogenesis, stroma, and immune signaling pathways, while replacement HGPs were enriched in metabolism, cell cycle, and DNA damage repair pathways. With the exception of immune-related genes, the differentially expressed genes of the two HGPs from colorectal liver metastases were mostly inherited from the primary tumor. Moreover, normal liver tissue in the desmoplastic HGP subgroup was markedly enriched in the fibrinous inflammation pathway. Conclusions We surmised that HGPs are observable morphological changes resulting from the regulation of molecular expressions, which is the combined effect of the heterogeneity and remodeling of primary tumors seeds and liver soils.
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Affiliation(s)
- Mingtao Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhigang Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dandan Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Shaoyan Xi
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Deshen Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiaolong Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 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, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Lei Wen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yanyu Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yunfei Yuan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Binkui Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiaojun Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhenhai Lu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Gong Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Liren Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Peirong Ding
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhizhong Pan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Desen Wan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Colorectal Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ziming Du
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Yuhong Li, ; Minshan Chen, ; Ziming Du,
| | - Minshan Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Yuhong Li, ; Minshan Chen, ; Ziming Du,
| | - Yuhong Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Yuhong Li, ; Minshan Chen, ; Ziming Du,
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Lu Z, Piro M. Computational fluid dynamic investigations of flow bypass through an aged CANDU pressure tube. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2022.109345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Becksfort J, Lucas J, Hsu C, Vajapeyam S, Wang C, Simpson E, Chiang J, Armstrong J, Soike M, Young M, Kann B, Li Y, Li C, Lu Z, Kline C, Meuller S, Gajjar A, Merchant T, Baker S, Patay Z, Wright K, Poussaint T, Tinkle C. Conventional and Cross-Channel MR Radiomic Features do Not Predict Histone H3 Status in DIPG: Genomic and Clinical Evaluation of a Multi-Institutional Cohort. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Liu H, Wu P, Xie J, Zhang S, Lu Z. Multifocal amyloidosis of the upper aerodigestive tract. QJM 2022; 115:689-690. [PMID: 35699518 DOI: 10.1093/qjmed/hcac145] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Indexed: 02/05/2023] Open
Affiliation(s)
- H Liu
- Shantou University Medical College, 22 Xinling Road, Shantou, 515000, Guangdong, China
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - P Wu
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, Guangdong, China
| | - J Xie
- Shantou University Medical College, 22 Xinling Road, Shantou, 515000, Guangdong, China
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - S Zhang
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
| | - Z Lu
- Department of Otolaryngology-Head and Neck Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China
- The Second School of Clinical Medicine, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, Guangdong, China
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Lu Z, Tilly M, Wolters F, De Groot NMS, Ikram MA, Kavousi M. Plasma amyloid-beta levels and risk of new-onset atrial fibrillation in the general population. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2302] [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: 11/12/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is a major health burden worldwide, with significant sex differences in epidemiology and risk factors. Amyloid-β40 (Aβ40) and Amyloid-β42 (Aβ42), the hallmark of cerebral amyloid angiopathy, have recently been linked to prevalence and prognosis of several cardiovascular outcomes including stroke and coronary heart disease. However, whether these biomarkers are associated with incident AF remains largely unknown.
Purpose
To investigate the associations between plasma concentrations of Aβ40 and Aβ42 with new-onset AF.
Methods
4,134 participants without a history of AF at baseline (from 2002 to 2005) with qualified plasma samples in the Rotterdam Study were included in this study. AF was diagnosed by electrocardiograms, general practitioners' and hospital records. Cox proportional hazards regression models with natural cubic splines were used to assess the linear/nonlinear association between biomarkers and risk of new-onset AF. All models were adjusted for traditional cardiovascular risk factors.
Results
Mean age was 71.3±7.2 years and 2,383 (57.6%) were women. Median follow-up time was 9.2 years. In the fully adjusted model, higher levels of Aβ40 [hazard ratio, 95% confidence interval: 1.16 (1.05–1.28)] and Aβ42 [1.19 (1.09–1.31)], as well as Amyloid-β42 to β40 ratio (Aβ42/40) [1.09 (1.02–1.17)] were significantly associated with incident AF. The observed association between Aβ40 and AF attenuated after mutual adjustment for Aβ42 [1.05 (0.92–1.19)]. In addition, a J-shaped association was found between Aβ40 and AF with the lowest AF risk at Aβ40 values of 212.5 pg/ml.
Conclusions
Both Aβ40 and Aβ42 were independently significantly associated with new-onset AF in the general population independent of cardiovascular risk factors. Findings also suggest a stronger association between AF onset and Aβ42 and AF onset, compared to Aβ40. A nonlinear association was found between Aβ40 and AF, reflecting a substantially increased AF risk among participants with severely increased Aβ40 values.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Tilly
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - F Wolters
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology , Rotterdam , The Netherlands
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
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Lu Z, Ntlapto N, Tilly M, Ikram MA, De Groot NMS, Kavousi M. Cardiometabolic multimorbidity and lifetime risk of atrial fibrillation among men and women. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2241] [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: 11/15/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) is the most common cardiac arrythmia worldwide, with an increased risk of comorbidity, and significant sex differences in pathophysiology and prognosis. Cardiometabolic disorders, including obesity, hypertension, diabetes mellitus, coronary heart disease, stroke, and heart failure commonly coexist with AF. However, the sex-specific patterns and (combined) impact of cardiometabolic disorders on the risk of new-onset AF remains largely unknown.
Purpose
To examine the association between patterns of cardiometabolic multimorbidity and new-onset AF and lifetime risk of AF incidence among men and women.
Methods
4,113 men and 5,432 women free of prevalent AF at baseline (from 1996 to 2008) from the Rotterdam Study were included. AF incidents were assessed by electrocardiograms and general practitioners' and hospital records, and followed up to January 1st, 2014. Sex-specific Cox proportional hazards regression models were used to assess the association between the amount of cardiometabolic disorders and risks of new-onset AF. Models were adjusted for traditional cardiovascular risk factors. Remaining lifetime risk for AF was estimated across the cardiometabolic multimorbidity groups at index ages of 55, 65, and ≥75 years up to age 108.
Results
Mean age at baseline was 65.5±9.4 years. Median follow-up time was 10.8 years. In the fully-adjusted model, a significant association was found between the amount of cardiometabolic disorders and incident AF among women but not men. Compared to women without cardiometabolic disorders, women with 3 (hazard ratios, 95% conference intervals: 2.17 (1.24–3.79)) and ≥4 comorbidities (4.58 (2.22–9.48)) had higher AF risks. The lifetime risk for AF was significantly increased with the number of cardiometabolic disorders among both men and women. At index age of 55 years, the lifetime risks (95% confidence interval) for AF were 25.2% (17.1–33.4), 24.2% (20.0–28.9), 27.1% (23.2–31.0), 30.0% (24.3–35.7) and 34.1% (22.4–45.7), for 0, 1, 2, 3, and ≥4 comorbid cardiometabolic disorders among men, respectively. Corresponding risks were 16.3% (6.68–25.9), 20.3% (16.3–24.3), 27.6% (24.1–31.2), 23.6% (17.8–29.4) and 33.3% (16.0–50.2) among women.
Conclusions
We observed a significant combined impact of cardiometabolic disorders on AF risk, most evidently among women. Participants with cardiometabolic multimorbidity had a significantly increased lifetime risk of AF, especially at a young index age.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N Ntlapto
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M Tilly
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology , Rotterdam , The Netherlands
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology , Rotterdam , The Netherlands
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Nagy T, Ann Gormley M, Moschella P, Lu Z, Rodriguez J, Roth P. 71 HIV Pre-exposure Prophylaxis in the Emergency Department: A Systematic Review. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wang C, Lu Z, Simpson C, Lee D, Tranmer J. PREDICTING LONG-TERM SURVIVAL AFTER DE NOVO CARDIOVERTER DEFIBRILLATOR IMPLANTATION FOR PRIMARY PREVENTION. Can J Cardiol 2022. [DOI: 10.1016/j.cjca.2022.08.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Cybulski T, Klug Z, Nelson R, Sala M, Diaz E, Lu Z, Misharin A, Jain M. 427 Persistence of cell type–specific transcriptomic changes in the nasal epithelium of people with cystic fibrosis receiving cystic fibrosis transmembrane conductance regulator modulators. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01117-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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28
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Xu Y, He J, Li W, Zhang W, Liu S, He J, Pan Z, Lu Z, Peng J, Lin J. The Pathologic Complete Response Ratio of Liver Metastases Represents a Valuable Prognostic Indicator. Pathol Oncol Res 2022; 28:1610663. [PMID: 36147656 PMCID: PMC9485473 DOI: 10.3389/pore.2022.1610663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022]
Abstract
Background and Objectives: The aim of this study was to evaluate the role of the pathologic complete response ratio of liver metastases (PCRRLM) in predicting the prognosis and recurrence of colorectal cancer liver metastases (CRLM). Methods: A total of 305 CRLM patients who underwent preoperative chemotherapy followed by hepatectomy were included. PCRRLM was defined as the number of liver metastases exhibiting pathologic complete response (PCR) divided by the number of total resected liver metastases. The Kaplan–Meier method was used to calculate survival, and differences were examined by the log-rank test. Univariate and multivariate analyses were performed to identify the predictors of PCRRLM, recurrence-free survival (RFS) and overall survival (OS). Results: Among the 305 included patients, 44 (14.4%) achieved a PCRRLM ≥0.50 (including PCRRLM = 1), and 261 (85.6%) achieved a PCRRLM <0.50 (including PCRRLM = 0). Patients of an older age (≥55 years old) and those with higher carcinoembryonic antigen (CEA) levels (≥5 ng/ml) were less likely to achieve a PCRRLM ≥0.50. In the multivariate analysis, PCRRLM≥ 0.50 (vs. < 0.50, HR [95% CI]: 0.67 [0.46–0.99], p = 0.043) was associated with better RFS. Positive lymph node status (vs. negative, HR [95% CI]: 1.46 [1.04–2.05], p = 0.028) and TBS ≥5 (vs. < 5, HR [95% CI]: 1.44 [1.02–2.04], p = 0.038) were associated with worse RFS. Conclusion: PCRRLM was significantly associated with long-term RFS after preoperative chemotherapy and CRLM resection. Thus, it may be a valuable indicator of recurrence in CRLM patients.
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Tian M, Lu Z, Chen S, Lu G, Bu F, Deng W, Ding R. 1014P Resistance landscape to almonertinib in EGFR-mutated NSCLC. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Junde Z, Tingting L, Lu Z, Shan C, Dan Y, Yizhen Z. Lithium chloride promotes neural functional recovery after local cerebral ischaemia injury in rats through Wnt signalling pathway activation. Folia Morphol (Warsz) 2022; 82:519-532. [PMID: 35916382 DOI: 10.5603/fm.a2022.0068] [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: 05/23/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Lithium chloride (LiCl) has a significant neuroprotective effect in cerebral ischaemia. However, to date, there is a paucity of evidence on the role of LiCl in neural restoration after brain ischaemia and the signalling pathways involved remain unclear. MATERIALS AND METHODS Therefore, to address this gap, the middle cerebral artery occlusion (MCAO) rat model was used to simulate human ischaemia stroke. Male Sprague-Dawley rats were given MCAO for 90 min followed by reperfusion, and Dickkopf-1 (DKK1, 5.0 μg/kg) was administered half an hour before MCAO. Rats were then treated with hypodermic injection of LiCl (2.0 mmol/kg) twice a day for 1 week. After treatment, cognitive impairment was assessed by the Morris water maze test. Neurological deficit score, 2,3,5-triphenyl tetrazolium chloride staining, brain water content, and histopathology were used to evaluate brain damage. Enzyme-linked immunosorbent assay was used to measure oxidative stress damage and inflammatory cytokines. Apoptosis of the hippocampal neurons was tested by western blot. The key factors of Wnt signalling pathway in the ischaemic penumbra were detected by immunofluorescence staining and quantitative real-time polymerase chain reaction. RESULTS Current experimental results showed that LiCl treatment significantly improved the impaired spatial learning and memory ability, suppressed oxidative stress, inflammatory reaction, and neuron apoptosis accompanied by attenuating neuronal damage, which subsequently decreased the brain oedema, infarct volume and neurological deficit. Furthermore, the treatment of LiCl activated Wnt signalling pathway. Interestingly, the aforementioned effects of LiCl treatment were markedly reversed by administration of DKK1, an inhibitor of Wnt signalling pathway. CONCLUSIONS These results indicate that LiCl exhibits neuroprotective effects in focal cerebral ischaemia by Wnt signalling pathway activation, and it might have latent clinical application for the prevention and treatment of ischaemic stroke.
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Affiliation(s)
- Z Junde
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China.
| | - L Tingting
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Z Lu
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - C Shan
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
| | - Y Dan
- Department of Anatomy, School of Basic Medicine, Guizhou Medical University, Guiyang, China
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Lu Z, Gong Z, Wang H, Zhu M, Jiang H, Cao Y. P-382 Decrease of serum estradiol prior to human chorionic gonadotrophin administration have an impact on live birth in IVF/ICSI cycles. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.360] [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] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Whether decrease of serum estradiol prior to human chorionic gonadotrophin administration have an impact on live birth in IVF/ICSI cycles?
Summary answer
The E2 change before the day of hCG administration had significant correlation with live birth. The live birth rate decreased with decreasing serum E2 level.
What is known already
The objective of this study was to assess the effects of a decrease of estradiol (E2) levels on the day of human chorionic gonadotrophin (hCG) administration on in vitro fertilization /intracytoplasmic sperm injection (IVF/ICSI) outcomes, including cycles with long, antagonist and micro stimulus protocols.
Study design, size, duration
In this retrospective cohort study, 1303 patients who received IVF/ICSI non-donor treatment were identified. Patients were divided into two groups according to live birth and the characteristics of IVF/ICSI cycles were compared between groups, including baseline infertility parameters, ovarian stimulation characteristics and embryo laboratory manipulation parameters.
Participants/materials, setting, methods
In this retrospective cohort study, 1303 patients who received IVF/ICSI non-donor treatment were identified. Patients were divided into two groups according to live birth and the characteristics of IVF/ICSI cycles were compared between groups, including baseline infertility parameters, ovarian stimulation characteristics and embryo laboratory manipulation parameters. The multivariate logistic regression model was performed to adjust potential confounders and assess correlation between E2 dynamics before hCG administration and live birth.
Main results and the role of chance
Our results revealed that patients without live birth had higher age (32.13 ± 4.33 vs. 30.21 ± 3.71, P < 0.001) and pervious miscarriages (0.57 ± 0.95 vs. 0.46 ± 0.83, P = 0.0295), while had lower number of oocytes retrieved (8.95 ± 4.69 vs. 12.36 ± 5.54, P < 0.001), day of hCG E2 (8269.53 ± 4104.22 vs. 9580.71 ± 3534.11, P < 0.001) and endometrium thickness (10.37 ± 3.66 vs. 11.50 ± 3.40, P < 0.001) compared with patients with live birth. Additionally, the multivariate logistic regression analysis displayed significant impact of serum E2 change on the live birth, and the achievement of live birth [OR (95%CI) 0.81 (0.71, 0.92), P = 0.001] decreased with the decreasing level of serum E2 before hCG trigger day. Estradiol stratification analyses displayed the OR and 95% CI for the association between △E2 and live birth among patients with different levels of estradiol decline (<25%, 25%–50%, 50%–75%, >75%). Compared with the <25% decline and 25%–50% decline groups, the ORs of 50%–75% and >75% decline groups were 1.66 (95% CI: 1.12-2.45, P = 0.012) and 2.00 (95% CI: 1.39-2.89, P < 0.001), respectively, after adjusting potential confounders.
Limitations, reasons for caution
There was concealment of randomization and blinding of outcome assessments reducing the risk of selection and measurement bias.
Wider implications of the findings
In summary, the E2 change before the day of hCG administration had significant correlation with live birth, and the live birth decreased with the decreasing level of serum E2 before hCG trigger day. The patients with a greater decline in the E2 level more likely to had poor clinical outcomes.
Trial registration number
Chi CTR1900026088
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Affiliation(s)
- Z Lu
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - Z Gong
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - H Wang
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - M Zhu
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - H Jiang
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
| | - Y Cao
- The First Affiliated Hospital of Anhui Medical University, Reproductive Medicine Center- Department of Obstetrics and Gynecology , Hefei, China
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32
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Liu X, Li H, Zeng L, Lu Z, Chen S, Bibikova M, Chen Z, Fan J. P-129 Evaluation of HER2 status in equivocal gastric cancer tissue samples using surrogate DNA methylation markers. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Lu Z, Geurts S, Aribas E, De Groot NMS, Kavousi M. Women-specific risk factors and risk of incident atrial fibrillation in UK Biobank. Eur J Prev Cardiol 2022. [DOI: 10.1093/eurjpc/zwac056.146] [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: 11/12/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Atrial fibrillation (AF) is the most common cardiac arrhythmia worldwide and carries a large morbidity and mortality risk. Recent evidence suggests differences in epidemiology and pathophysiology of AF between women and men and underscores a poorer prognosis of AF among women. This calls for further investigation regarding the impact of women-specific risk factors on AF development.
Purpose
To investigate the association between women-specific risk factors and new-onset AF.
Methods
235,191 women (mean [standard deviation] age: 55.7 [8.1] years) free of AF and without a history of hysterectomy and/or bilateral oophorectomy from the UK Biobank were included. Various women-specific risk factors were assessed from 2006 to 2010. Follow-up of new-onset AF occurred through October 2020. Cox proportional hazards analyses were performed to investigate prospective associations between each risk factor and incident AF. Additionally, natural splines were used to identify any potential nonlinear associations.
Results
After a median follow-up of 11.6 (interquartile range: 10.9–12.3) years, 4,629 (2%) women experienced new-onset AF. In fully adjusted models, having experienced irregular menstrual cycle was significantly associated with increased new-onset AF risk [hazard ratio (HR); 95% confidence interval (CI): 1.34; 1.01-1.79]. In addition, nonlinear associations were found between menopausal age, menarcheal age, number of live births, and number of total reproductive years with incident AF. Compared to the reference, early menopause (menopause <45 years of age) or delayed menopause (>60 years) significantly increased risks of incident AF (HR; 95CI: 1.24; 1.10-1.39 and 1.34; 1.01-1.78, respectively). Compared to the reference, both early menarche (menarche ≤11 years) and late menarche (menarche ≥13 years) were associated with AF incidence (HR; 95CI: 1.10; 1.00-1.21 and 1.08; 1.00-1.17, respectively). Compared to women with one or two children, having no children (HR; 95CI: 1.13; 1.04-1.24), or more than six children (HR; 95%CI: 1.67; 1.03-2.70) were associated with higher AF risks. Having reproductive years ≤20 years was significantly associated with incident AF (HR; 95CI: 1.74; 1.07-2.86).
Conclusions
Having experienced early or delayed menopause, early or late menarche, or irregular menstrual cycles conferred higher risks of incident AF among women in the UK Biobank. Interestingly, both nulliparity and multiparity, compared to having one or two children, were associated with an increased AF risk. Our results highlight the importance of knowledge regarding the reproductive history of women in devising screening strategies for AF prevention.
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - S Geurts
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - E Aribas
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - NMS De Groot
- Erasmus University Medical Centre, Department of Cardiology, Rotterdam, Netherlands (The)
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
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Lin J, Sun H, Zhang W, Hong Z, Lu Z, Pan Z, Hou Z, Peng J. Conversion therapy with the intent to perform radical local treatment may not be suitable for patients with 10 or more liver metastases from colorectal cancer. Cancer Med 2022; 11:4225-4235. [PMID: 35466587 DOI: 10.1002/cam4.4775] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/18/2022] [Accepted: 04/01/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The number of colorectal cancer liver metastases (CRLMs) is usually considered a contradictory indicator to surgical resection. However, some patients with initially unresectable CRLMs can receive radical local treatment after conversion therapy. This study aimed to evaluate the effect of radical local treatment after conversion therapy and the prognosis of patients with more than 10 initially unresectable CRLMs. METHODS Data for a total of 229 patients with initially unresectable CRLMs were retrospectively reviewed between December 2012 and January 2020. Among these patients, 107 had ≥10 CRLMs, and 122 had <10 CRLMs. Overall survival (OS) and progression-free survival (PFS) were used to reflect the prognosis of different groups of patients. Conversion therapy was defined as an initially unresectable liver metastasis converted into an R0 resectable lesion after systemic chemotherapy. Radical local treatment included hepatectomy and radiofrequency ablation (RFA). RESULTS Patients with ≥10 CRLMs had a lower conversion rate (42.7% vs. 56.6%, p = 0.001). Baseline clinical N stage 1-2, ≥8 first-line chemotherapy courses, and stable disease (SD) according to the Response Evaluation Criteria in Solid Tumours (RECIST) were independent factors predictive of conversion failure. Primary tumour location in the right colon, RECIST response of SD, and the absence of targeted therapy were independent factors predictive of unfavourable OS. The survival curves revealed that the OS of patients with or without conversion could be distinguished only among patients with <10 CRLMs (89.9% [95% CI, 82.5%-98.0%] vs. 58.9% [95% CI, 45.2%-76.7%], p < 0.001); this cut-off point could also distinguish patients with a successful conversion outcome according to OS (89.9% [95% CI, 82.5-98.0%] vs. 58.2% [95% CI, 42.2-80.4%], p = 0.008). CONCLUSION For CRLMs ≥ 10, patients with a successful conversion outcome cannot be distinguished from those without successful conversion outcome according to OS. Thus, conversion therapy with the intent to perform radical local treatment may not be suitable for patients with 10 or more liver metastases from colorectal cancer.
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Affiliation(s)
- Junzhong Lin
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Hui Sun
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P. R. China
| | - Weili Zhang
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Zhigang Hong
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Zhenhai Lu
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Zhizhong Pan
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Zhenlin Hou
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
| | - Jianhong Peng
- Department of Colorectal Surgery, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, P. R. China
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Li W, Zhou J, Zhang T, Tai Y, Xu Y, Bai Y, Jiang Y, Lu Z, Li L, Huang J, Pan Z, Wu X, Peng J, Lin J. A novel score system for predicting conversion to no evidence of Disease (C-NED) in initially unresectable colorectal cancer liver metastases. Am J Cancer Res 2022; 12:1648-1659. [PMID: 35530285 PMCID: PMC9077072] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023] Open
Abstract
An estimated 70-80% of cases of colorectal cancer liver metastasis (CRLM) are defined as initially unresectable. "Converting" to no evidence of disease (NED) status may prolong survival. The current study aimed to develop a novel scoring system that predicts the conversion outcome for initially unresectable CRLM. A total of 215 consecutive CRLM patients who received first-line systemic therapy from December 2012 to January 2020 at Sun Yat-sen University Cancer Center were enrolled in the internal cohort. Forty CRLM patients from the database of the Chinese Colorectal Cancer Multidisciplinary Team Alliance were enrolled in the external cohort. A logistic regression model was applied to identify risk factors associated with the conversion outcome. The tumor-to-liver volume ratio (TLVR) was calculated as the total tumor volume divided by the total liver volume, and its cutoff value was 0.23. Three predictors of conversion failure were identified in the internal cohort and incorporated into the C-NED score: poor tumor differentiation (1 point), number of liver metastases > 8 (1 point) and TLVR ≥ 0.23 (1 point). The conversion rate was significantly negatively associated with the C-NED score (P < 0.001). The C-indexes of the C-NED score for predicting successful conversion outcome in the internal cohort and external cohort were 0.734 (95% confidence interval (CI), 0.668-0.800) and 0.736 (95% CIs, 0.566-0.907), respectively. Median progression-free survival (PFS) time (P = 0.001) and overall survival (OS) time (P = 0.003) were statistically significant different among different C-NED score groups. Our study demonstrated that the C-NED score is an effective scoring system that indicates the actual conversion probability for initially unresectable CRLM patients before treatment, which can serve as a tool that guides optimal first-line management strategies.
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Affiliation(s)
- Weihao Li
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Jian Zhou
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Tianqi Zhang
- Department of Minimally Invasive Interventional Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Yi Tai
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Yanbo Xu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Yanfang Bai
- Department of Anesthesiology & Operating Theatre, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Yu Jiang
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Zhenhai Lu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Liren Li
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Jinhua Huang
- Department of Minimally Invasive Interventional Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Zhizhong Pan
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Xiaojun Wu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Jianhong Peng
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
| | - Junzhong Lin
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineGuangzhou 510060, Guangdong, P. R. China
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Xiao L, Hua F, Knops JMH, Zhao X, Mishra C, Lovari S, Alexander JS, Weckworth B, Lu Z. Spatial separation of prey from livestock facilitates coexistence of a specialized large carnivore with human land use. Anim Conserv 2022. [DOI: 10.1111/acv.12769] [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: 11/30/2022]
Affiliation(s)
- L Xiao
- School of Life Sciences Peking University Beijing China
- Department of Health and Environmental Sciences Xi'an Jiaotong‐Liverpool University Suzhou China
| | - F Hua
- Institute of Ecology, College of Urban and Environmental Sciences Peking University Beijing China
| | - J M H Knops
- Department of Health and Environmental Sciences Xi'an Jiaotong‐Liverpool University Suzhou China
| | - X Zhao
- Shanshui Conservation Center Beijing China
| | - C Mishra
- Snow Leopard Trust Seattle WA USA
| | - S Lovari
- Department of Life Sciences University of Siena Siena Italy
| | | | | | - Z Lu
- School of Life Sciences Peking University Beijing China
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37
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Vanderpont AK, Lobson C, Lu Z, Luong K, Arentsen M, Vera T, Moore D, White MS, Prosser RS, Wong CS, Hanson ML. Fate of thiamethoxam from treated seeds in mesocosms and response of aquatic invertebrate communities. Ecotoxicology 2022; 31:341-356. [PMID: 35000026 DOI: 10.1007/s10646-021-02500-8] [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] [Subscribe] [Scholar Register] [Accepted: 10/23/2021] [Indexed: 06/14/2023]
Abstract
Thiamethoxam is a neonicotinoid insecticide widely applied in the Canadian Prairies. It has been detected in surface waters of agro-ecosystems, including wetlands, but the potential effects on non-target invertebrate communities in these wetlands have not been well characterized. In an effort to understand better the fate of thiamethoxam in wetlands and the response of invertebrates (zooplankton and emergent insects), model systems were used to mimic wetland flooding into planted fields. Outdoor mesocosms were treated with a single application of thiamethoxam-treated canola seeds at three treatment levels based on a recommended seeding rate (i.e., 6 kg/ha; 1×, 10×, and 100× seeding rate) and monitored over ten weeks. The mean half-life of thiamethoxam in the water column was 6.2 d. There was no ecologically meaningful impact on zooplankton abundances or community structure among treatments. Statistically significant differences were observed in aquatic insect abundance between control mesocosms and the two greatest thiamethoxam treatments (10× and 100× seeding rate). The observed results indicate exposure to thiamethoxam at environmentally relevant concentrations likely does not represent a significant ecological risk to abundance and community structure of wetland zooplankton and emergent insects.
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Affiliation(s)
- A K Vanderpont
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - C Lobson
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Z Lu
- Institut des Sciences de la Mer de Rimouski, Université du Québec à Rimouski, Rimouski, Québec, G5L 3A1, Canada
| | - K Luong
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
| | - M Arentsen
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
| | - T Vera
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
| | - D Moore
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - M S White
- EcoMetrix Inc, Mississauga, ON, L5N 2L8, Canada
| | - R S Prosser
- School of Environmental Sciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - C S Wong
- Richardson College for the Environment, University of Winnipeg, Winnipeg, MB, Canada
- Southern California Coastal Water Research Project Authority, Costa Mesa, CA, 92626, USA
| | - M L Hanson
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada.
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38
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Diehl S, Kim A, Angelini G, Joo K, Adhikari S, Amaryan M, Arratia M, Atac H, Avakian H, Ayerbe Gayoso C, Baltzell NA, Barion L, Bastami S, Battaglieri M, Bedlinskiy I, Benmokhtar F, Bianconi A, Biselli AS, Bondi M, Bossù F, Boiarinov S, Brinkmann KT, Briscoe WJ, Brooks W, Bulumulla D, Burkert VD, Carman DS, Carvajal JC, Celentano A, Chatagnon P, Chetry T, Ciullo G, Clark L, Clary BA, Cole PL, Contalbrigo M, Costantini G, Crede V, D'Angelo A, Dashyan N, De Vita R, Defurne M, Deur A, Dilks C, Djalali C, Dugger M, Dupre R, Egiyan H, Ehrhart M, El Alaoui A, El Fassi L, Elouadrhiri L, Fegan S, Filippi A, Forest T, Gavalian G, Gilfoyle GP, Girod FX, Glazier DI, Golubenko AA, Gothe RW, Gotra Y, Griffioen KA, Guidal M, Hafidi K, Hakobyan H, Hattawy M, Hauenstein F, Hayward TB, Heddle D, Hicks K, Hobart A, Holtrop M, Hyde CE, Ireland DG, Isupov EL, Jo HS, Johnston R, Joosten S, Keller D, Khachatryan M, Khanal A, Kim W, Kripko A, Kubarovsky V, Kuhn SE, Lanza L, Leali M, Lee S, Lenisa P, Livingston K, Lu Z, MacGregor IJD, Marchand D, Markov N, Marsicano L, Mascagna V, McKinnon B, Meziani ZE, Milner RG, Mineeva T, Mirazita M, Mokeev V, Moran P, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Naidoo P, Nanda S, Neupane K, Niccolai S, Niculescu G, O'Connell TR, Osipenko M, Paolone M, Pappalardo LL, Paremuzyan R, Pasyuk E, Phelps W, Pogorelko O, Prok Y, Prokudin A, Raue BA, Ripani M, Ritman J, Rizzo A, Roberts CD, Rossi P, Rowley J, Sabatié F, Salgado C, Schmidt A, Segarra EP, Sharabian YG, Shrestha U, Simmerling P, Sokhan D, Soto O, Sparveris N, Stepanyan S, Stoler P, Strakovsky II, Strauch S, Tezgin K, Thornton A, Tyler N, Tyson R, Ungaro M, Venturelli L, Voskanyan H, Vossen A, Voutier E, Watts DP, Wei K, Wei X, Xu SS, Yale B, Zachariou N, Zhang J. Multidimensional, High Precision Measurements of Beam Single Spin Asymmetries in Semi-inclusive π^{+} Electroproduction off Protons in the Valence Region. Phys Rev Lett 2022; 128:062005. [PMID: 35213183 DOI: 10.1103/physrevlett.128.062005] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 09/28/2021] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
High precision measurements of the polarized electron beam-spin asymmetry in semi-inclusive deep inelastic scattering (SIDIS) from the proton have been performed using a 10.6 GeV incident electron beam and the CLAS12 spectrometer at Jefferson Lab. We report here a high precision multidimensional study of single π^{+} SIDIS data over a large kinematic range in Bjorken x, fractional energy, and transverse momentum of the hadron as well as photon virtualities Q^{2} ranging from 1-7 GeV^{2}. In particular, the structure function ratio F_{LU}^{sinϕ}/F_{UU} has been determined, where F_{LU}^{sinϕ} is a twist-3 quantity that can reveal novel aspects of emergent hadron mass and quark-gluon correlations within the nucleon. The data's impact on the evolving understanding of the underlying reaction mechanisms and their kinematic variation is explored using theoretical models for the different contributing transverse momentum dependent parton distribution functions.
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Affiliation(s)
- S Diehl
- University of Connecticut, Storrs, Connecticut 06269, USA
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - G Angelini
- The George Washington University, Washington, D.C. 20052, USA
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Adhikari
- Florida International University, Miami, Florida 33199, USA
| | - M Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Arratia
- University of California, Riverside, California 92521, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Ayerbe Gayoso
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N A Baltzell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Barion
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - S Bastami
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Battaglieri
- INFN, Sezione di Genova, 16146 Genova, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - F Benmokhtar
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - A Bianconi
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - A S Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - M Bondi
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - F Bossù
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K-T Brinkmann
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - W Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J C Carvajal
- Florida International University, Miami, Florida 33199, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - P Chatagnon
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - T Chetry
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B A Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Lamar University, 4400 MLK Blvd, P.O. Box 10046, Beaumont, Texas 77710, USA
| | | | - G Costantini
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Defurne
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Dilks
- Duke University, Durham, North Carolina 27708-0305, USA
| | - C Djalali
- Ohio University, Athens, Ohio 45701, USA
| | - M Dugger
- Arizona State University, Tempe, Arizona 85281, USA
| | - R Dupre
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H Egiyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ehrhart
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - A El Alaoui
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Fegan
- University of York, York YO10 5DD, United Kingdom
| | - A Filippi
- INFN, Sezione di Torino, 10125 Torino, Italy
| | - T Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - G Gavalian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - A A Golubenko
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Y Gotra
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - M Guidal
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - M Hattawy
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F Hauenstein
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - T B Hayward
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - D Heddle
- Christopher Newport University, Newport News, Virginia 23606, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - A Hobart
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - R Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - S Joosten
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khachatryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Khanal
- Florida International University, Miami, Florida 33199, USA
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Kripko
- II. Physikalisches Institut der Universität Gießen, 35392 Gießen, Germany
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Lanza
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - M Leali
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - S Lee
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - P Lenisa
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z Lu
- School of Physics, Southeast University, Nanjing 211189, Jiangsu, China
| | | | - D Marchand
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Marsicano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - V Mascagna
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi dell'Insubria, 22100 Como, Italy
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Z E Meziani
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R G Milner
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - T Mineeva
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Moran
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - C Munoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Naidoo
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Nanda
- Mississippi State University, Mississippi State, Mississippi 39762-5167, USA
| | - K Neupane
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Niccolai
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - T R O'Connell
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - M Paolone
- New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico 88003, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L L Pappalardo
- Universitá di Ferrara, 44121 Ferrara, Italy
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - O Pogorelko
- National Research Centre Kurchatov Institute-ITEP, Moscow, 117259, Russia
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Prokudin
- Science Division, Penn State University Berks, Reading, Pennsylvania 19610, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B A Raue
- Florida International University, Miami, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - J Ritman
- Institute fur Kernphysik (Juelich), Juelich, Germany
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
- Università di Roma Tor Vergata, 00133 Rome Italy
| | - C D Roberts
- School of Physics and Institute for Nonperturbative Physics, Nanjing University, Nanjing 210093, Jiangsu, China
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Rowley
- Ohio University, Athens, Ohio 45701, USA
| | - F Sabatié
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Schmidt
- The George Washington University, Washington, D.C. 20052, USA
| | - E P Segarra
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - U Shrestha
- Ohio University, Athens, Ohio 45701, USA
| | - P Simmerling
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Soto
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Stoler
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Tezgin
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Thornton
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Tyler
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Tyson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L Venturelli
- INFN, Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Brescia, 25123 Brescia, Italy
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - A Vossen
- Duke University, Durham, North Carolina 27708-0305, USA
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D P Watts
- University of York, York YO10 5DD, United Kingdom
| | - K Wei
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S-S Xu
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China
| | - B Yale
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - N Zachariou
- University of York, York YO10 5DD, United Kingdom
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22901, USA
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Abstract
BACKGROUND AND AIMS To compare the association of geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) scores with malnutrition, and to study their association with clinical outcomes in older adult cancer patients. METHODS This retrospective analysis was conducted on 854 older adult cancer patients collected from 34 hospitals in 18 cities in China between June and September 2014. Anthropometric and hematological examination results at admission were collected, and subjective global assessment was used. Clinical outcomes, such as complications, length of hospital stays, and hospital costs, were recorded. Receiver operating characteristic curves were used to evaluate the accuracy of the two nutritional assessment tools for malnutrition. The association between GNRI and CONUT score and clinical outcomes was analyzed using the chi-square test, t-test, or rank sum test. RESULTS Among 854 patients with cancer, the prevalence of malnutrition was 42.7%. Compared with subjective global assessment, the GNRI had a significantly higher accuracy than the CONUT score in predicting malnutrition (area under the curve 0.704, 95% confidence interval, 0.658 - 0.750, P < 0.001). The GNRI was significantly associated with the occurrence of complications (χ2 = 4.985, P = 0.026), and low GNRI (≤98) was associated with a longer length of hospital stay (t = -2.179, P = 0.030). CONCLUSIONS The GNRI may be used to assess malnutrition in older adult cancer patients and can predict poor clinical outcomes in these patients.
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Affiliation(s)
- C Liu
- Mingwei Zhu, Hongyuan Cui, Department of General Surgery, Department of Hepato-bilio-pancreatic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, China, ;
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Shen X, Dong H, Jiang H, Cao H, Dowling R, Feng J, Lei Z, Zhao Y, Nui Z, Pu B, Lu Z, Gan Y. The global prevalence of sexual violence against pregnant women: a systematic review and meta-analysis. Women Health 2021; 62:37-45. [PMID: 34886757 DOI: 10.1080/03630242.2021.2011824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
When committed against pregnant women, sexual violence may have adverse health consequences for both the mother and the unborn child. To date, no studies have systematically summarized the global prevalence of sexual violence against pregnant women. We conducted a comprehensive search of PubMed, Embase and Web of Science from inception dates to January 2021 for studies reporting the prevalence of sexual violence against pregnant women. Prevalence was estimated using a random-effects meta-analysis. Heterogeneity was evaluated using the I2 statistic. Differences by study level characteristics were estimated through subgroup analysis and meta-regression. A total of 10 cross-sectional studies (a total of 8,439 participants) were included. The pooled proportion of sexual violence was 0.31 (95% CI: 0.22-0.40). Subgroup analyses showed higher prevalence of sexual violence against pregnant women in the 2010-2019 period (0.35, 95% CI0.15-7.53) and developing countries (0.32, 95% CI0.19-0.45). Almost one in three (31%) pregnant women around the world has been a victim of sexual violence in their lifetime. Sexual violence against pregnant women continues to be a major public health challenge. The global prevalence of sexual violence against pregnant women warrants the collective attention of the entire society.
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Affiliation(s)
- Xin Shen
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Dong
- Department Of General Practice, Shouyilu Street Community Health Service Center, Wuhan, Hubei, China
| | - Heng Jiang
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Australia.,Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Hui Cao
- Department of Labor Economics and Management, Beijing Vocational College of Labour and Social Security, Beijing, China
| | - Rowan Dowling
- Centre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, Australia
| | - Jing Feng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zihui Lei
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuxin Zhao
- Community Health Service Management Center, Shenzhen Fuyong People's Hospital, Shenzhen, Guangdong, China
| | - Zhenyu Nui
- Department of Public Health and Preventive Medicine, Medical College of Shihezi University, Shihezi, Xinjiang, China
| | - Bo Pu
- School of Business and Tourism, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Z Lu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Lu Z, Hua K, Chen Y, Hu C. Standard practice of presacral exposure during transvaginal natural orifice transluminal endoscopic surgery for sacrocolpopexy. BJOG 2021; 129:1004-1007. [PMID: 34839566 DOI: 10.1111/1471-0528.17030] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2021] [Indexed: 02/03/2023]
Abstract
We describe the standard practice of presacral exposure during transvaginal natural orifice transluminal endoscopic surgery (vNOTES) for sacrocolpopexy in women with uterine prolapse. In this video, we demonstrate the key techniques: identifying the right hypogastric nerve (rHN) before opening the pelvic peritoneum; removing the fat and loose connective tissue along the rHN to expose the presacral fascia; incising the presacral fascia to reach the presacral space to expose the middle sacral vasculature and the anterior longitudinal ligament (ALL) of the first sacral vertebra (S1) below the promontory; attaching the mesh to the ALL to avoid vessel injury; and completing the peritonealisation.
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Affiliation(s)
- Z Lu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - K Hua
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - Y Chen
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - C Hu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
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Li K, Feng J, Yuan X, Gan L, Lu Z, Xiong R. Study on a new manner of the magnetization switching actuated by a unidirectional pulse current. Nanotechnology 2021; 33:025001. [PMID: 34614479 DOI: 10.1088/1361-6528/ac2d48] [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] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
A new writing scheme with a unidirectional pulse current is proposed for spin transfer torque (STT) based magnetic random-access memory (MRAM). To investigate the feasibility of the writing scheme, bilayered nano-pillars composed of a soft layer with small in-plane shape anisotropy and a hard layer with either large perpendicular anisotropy (PMA) or in-plane anisotropy (IMA) are designed and their switching behaviors are studied. It is found that in either type of bilayered nano-pillars, with the aid of the attached hard layer, the magnetization of the soft layer can be switched back and forth under a unidirectional pulse current. In an IMA/IMA nano-pillar, the magnetization of the free layer (FL) can achieve excellent alignment, which is in contrast to the IMA/PMA nano-pillar. By optimizing the dimensions and magnetic parameters of the IMA/IMA nano-pillar, a decently low switching current density (4.3 × 1011A m-2) and ultrashort switching time (<1 ns) can be reached. Based on these results, the unidirectional writing scheme is practical if an IMA/IMA bilayer is used to replace the FL in a magnetic tunnel junction. Considering that a unidirectional writing scheme can enable the application of materials with high spin polarization such as half metals, and avoid the injection of writing current into junction using a special design, it may be very promising for STT-MRAM.
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Affiliation(s)
- K Li
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - J Feng
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - X Yuan
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - L Gan
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - Z Lu
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
- School of Materials and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - R Xiong
- Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China
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Lu Z, Tilly MJ, Aribas E, Bos D, De Knegt R, Ikram MA, De Groot NMS, Voortman T, Kavousi M. Imaging-based body fat depots and new-onset atrial fibrillation in general population. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2612] [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: 11/15/2022] Open
Abstract
Abstract
Background
Obesity is a well-established risk factor for incident atrial fibrillation (AF). Whether different body fat depots differentially associate with AF development remains largely unknown.
Purpose
We aimed to investigate the associations between various body fat depots and the risk of new-onset AF among middle-aged and elderly individuals from general population.
Methods
In the prospective population-based cohort study, body composition was assessed using dual-energy X-ray absorptiometry (DXA) and total body mass, lean mass, fat mass, android and gynoid fat were analyzed (N=3468). Liver fat and epicardial fat were assessed using computed tomography (CT) (N=2145). A body fat score was defined by adding tertiles of each fat depot. All participants were followed for the occurrence of AF until 1st Jan. 2014. Principle component analysis was conducted to identify body fat distribution patterns. Time-to-event analyses were performed using Cox proportional hazards regression analysis. Hazard ratios (HR) and 95% confidence-intervals (95% CI), adjusted for cardiovascular risk factors, were calculated.
Results
Mean (standard deviation) of age for participants in DXA study and CT study was 74.42 (6.85) and 68.66 (6.41) years, respectively. AF incidence rate was 13.1 per 1000 person-years during a median follow-up time of 9.62 years. In the adjusted model, fat mass (HR; 95% CI: 1.33; 1.05–1.68), lean mass (1.40; 1.15–1.72), gynoid fat mass (1.36; 1.12–1.65), and total body mass (1.51; 1.21–1.89) were significantly associated with new-onset AF. Of note, android-to-gynoid fat ratio was inversely associated with incident AF (HR; 95% CI: 0.81; 0.70–0.94). Larger body fat score was associated with increased risk of incident AF (P for trend <0.01). Two fat distribution patterns were identified. Adherence to the fat- and gynoid fat- pattern (P for trend = 0.035), but not muscle- and visceral fat- pattern (P for trend = 0.35), was significantly associated with larger risk of new-onset AF.
Conclusions
Various body fat depots were associated with new-onset AF. Larger values of total body mass carried the highest risk for incident AF. The inverse association between android to gynoid fat ratio with AF presents a novel finding. A significant dose-response relationship between body fat accumulation and risk of new-onset AF was observed, implying a collective impact of fat depots on AF development. Findings also suggest that various fat depots, characterized by different fat distribution patterns, may exert differential combined effect on the risk of incident AF.
Funding Acknowledgement
Type of funding sources: None. Fat depots and atrial fibrillation
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M J Tilly
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - E Aribas
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - D Bos
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - R De Knegt
- Erasmus University Medical Centre, Department of Internal Medicine, Rotterdam, Netherlands (The)
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology, Rotterdam, Netherlands (The)
| | - T Voortman
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
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Zhang B, Yu D, Lu Z. Constipation is associated with worse prognosis of thrombolytic AIS: a single-center prospective study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2055] [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: 11/15/2022] Open
Abstract
Abstract
Background and purpose
Previous clinical studies have found that constipation was associated with the prognosis of ischemic stroke patients. This information may provide new ideas for thrombolytic AIS (acute cerebral arterial thrombosis) patients' short-term prognostic assessment. Our study was designed to investigate the risk factors of constipation and its association with the prognosis in thrombolytic AIS patients.
Methods
The prospective cohort study included 97 AIS patients treated with intravenous thrombolysis. Three days without defecation in thrombolytic patients was recorded as constipation in clinic. The risk factors for constipation included demographics, clinical characteristics, laboratory parameters and partial treatments. Scores of NIHSS and mRS and length of stay (LOS) in ICU and hospital were used to evaluate the effect of constipation on patients' neurological function and short-term prognosis.
Results
The incidence of constipation was 49.48% in the first three days after intravenous thrombolysis. The use of stomach tube and antibiotics made patients more prone to constipation (odds ratio OR: 5.01, 95% CI: 2.04–12.32, P=0.000; odds ratio: 6.06, 95% CI: 2.35–15.61, P=0.000). The occurrence of constipation resulted in significantly longer ICU and hospital LOS (2.29±1.63 versus 4.75±4.22, P=0.000; 11.08±10.01 versus 15.73±12.36, P=0.044). Moreover, constipation worsened the thrombolytic AIS patients' short-term neurological recovery (mRS at 3 months: 1.53±1.72 versus 2.41±1.92, P=0.02). Oral probiotics for constipation during hospitalization not only prolonged patients' stay in the ICU (2.91±2.28 versus 6.44±4.88, P=0.003), but also resulted in poorer short-term neurological functional outcomes (mRS at 3 months: 1.57±1.53 versus 3.26±1.91, P=0.002).
Conclusions
The occurrence of constipation in the first three days was associated with the longer ICU and hospital stay and a worse short-term prognosis, suggesting that constipation may be a predictor of thrombolytic AIS patients' prognosis. Further studies of constipation and its appropriate therapy strategy are needed to solve the plight of thrombolytic AIS with constipation.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- B Zhang
- Third Affiliated Hospital of Sun Yat-sen University, Department of Neurology, Guangzhou, China
| | - D Yu
- Third Affiliated Hospital of Sun Yat-sen University, Department of Neurology, Guangzhou, China
| | - Z Lu
- Third Affiliated Hospital of Sun Yat-sen University, Department of Neurology, Guangzhou, China
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Tilly MJ, Lu Z, Geurts S, Ikram MA, De Maat MPM, Ikram MK, De Groot NMS, Kavousi M. Distribution and risk profile of atrial fibrillation patterns among women and men from the general population. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2415] [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: 11/14/2022] Open
Abstract
Abstract
Background
In a clinical setting, atrial fibrillation (AF) subgroups are defined, including paroxysmal, persistent, and permanent AF. These subgroups differ in terms of clinical characteristics, management strategy, and long-term outcomes. Application of clinical classifications in population-based settings is challenging as they are based on the duration of symptoms, recurrence, and treatment.
Purpose
We aim to develop an objective and standardized classification for AF patterns in the general population and examine the associated cardiovascular risk profiles and outcomes for the identified AF patterns.
Methods
Participants with only one reported AF episode were categorized as single-documented AF, if at least two separate AF episodes were reported as multiple-documented AF and as longstanding persistent AF if at least two consecutive ECG's at the research center showed AF, not followed by an ECG showing sinus rhythm. We fitted mixed effect models with age as time scale to characterize sex-specific cardiovascular risk factor trajectories preceding each AF pattern. We further used Cox proportional hazard modelling to describe the risk of coronary heart disease (CHD), heart failure (HF), stroke, and all-cause mortality following AF.
Results
We included 14,620 men and women aged ≥45 years. 1137 participants were categorized as single-documented AF, 208 as multiple-documented AF, and 57 as longstanding persistent AF. We identified significant differences in the preceding trajectories of weight, body mass index, systolic blood pressure, diastolic blood pressure, waist circumference, hip circumference, and waist-hip ratio with various AF patterns. In general, both men and women with persistent-elevated levels of these risk factors were prone to longstanding persistent AF.
AF was associated with a large risk for subsequent CHD, HF, stroke, and mortality in the general population. Among the different AF patterns, single-documented AF conferred the largest risk of CHD [hazard ratio, 95% confidence interval: 1.92 (1.19–3.03)] and mortality [1.70 (1.41–2.07)] as compared to multiple-documented AF, and as compared to longstanding persistent AF [1.45 (0.72–2.90) and 3.66 (2.25–5.95), respectively].
Conclusion
We developed a classification for AF patterns within a general population. We identified differences in risk factor trajectories preceding each AF pattern, which implies differences in pathophysiological mechanisms underlying AF. Participants with single-documented AF showed worse prognosis than those with multiple AF episodes. This might be due to the subgroup definition, since participants should live for a longer period of time to be categorized in the multiple-documented AF and longstanding persistent AF groups. This can also imply that participants suffering from multiple AF episodes are more frequently monitored, and treated for other risk factors. However, this could also suggest that singular AF episodes are not as innocent as commonly thought.
Funding Acknowledgement
Type of funding sources: Public hospital(s). Main funding source(s): - Erasmus MC Mrace grant. - Netherlands Organization for the Health Research and Development (ZonMw) Figure 1Figure 2. Progosis of various AF patterns
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Affiliation(s)
- M J Tilly
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - Z Lu
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - S Geurts
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M A Ikram
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M P M De Maat
- Erasmus University Medical Centre, Department of Hematology, Rotterdam, Netherlands (The)
| | - M K Ikram
- Erasmus University Medical Centre, Department of Neurology, Rotterdam, Netherlands (The)
| | - N M S De Groot
- Erasmus University Medical Centre, Department of Cardiology, Rotterdam, Netherlands (The)
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
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Abstract
Abstract
Background
Although there are many indicators to assess nutritional status, a more comprehensive and objective indicator is still needed in clinical practice. In this study, we evaluated the relationship between the prognostic nutritional index (PNI) and clinical outcomes in patients with critically ill stroke.
Methods
Subjects who were diagnosed as stroke in the Beth Israel Deaconess Medical Center between 2001 and 2012 were identified from the Medical Information Mart for Intensive Care (MIMIC) III database. PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3). The multivariate logistic regression and the Cox regression analysis were performed to assess the impact of PNI on 3-month and 4-year mortality in stroke patients.
Results
A total of 624 subjects were included in this study. Compared with the high-PNI group, those in the Low PNI group had lower body mass index (BMI), hemoglobin, neutrophil count, lymphocyte count and albumin. On the contrary, Age, Blood urea nitrogen (BUN), Creatinine (Cre), simplified acute physiologic scoreII (SAPSII) score and sequential organ failure assessment (SOFA) score of the low PNI group were higher than the high PNI group. After adjusting for other confounders, PNI was independently associated with 3-month mortality (adjusted odds ratio = 1.910; 95% confidence interval, 1.244–2.933; P=0.003). By the Kaplan-Meier analysis, patients in the low PNI group presented significantly shorter survival time and higher death rate. The Cox regression model indicated low PNI as an independent risk factor of 4-year all-cause mortality of stroke patients (hazard ratio = 1.824; 95% CI, 1.340–2.483; P<0.001).
Conclusions
Low PNI is independently associated with short-term and long-term prognosis in patients with critically ill stroke.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- B Zhang
- Third Affiliated Hospital of Sun Yat-sen University, Department of Neurology, Guangzhou, China
| | - Q Zhu
- Third Affiliated Hospital of Sun Yat-sen University, Department of Neurology, Guangzhou, China
| | - Z Lu
- Third Affiliated Hospital of Sun Yat-sen University, Department of Neurology, Guangzhou, China
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Lu Z, Tilly M, Aribas E, Roeters Van Lennep J, Ikram M, De Groot N, Van Rosmalen J, Kavousi M. Trajectories of metabolic risk factors and risk of new-onset atrial fibrillation among men and women. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0584] [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
Atrial fibrillation (AF) is the most common cardiac arrhythmia with major public health impact. Obesity and hypertension are among the most important risk factors to AF development. The link between AF and its pathogenetic factors are complex and comprehensive assessment of the impact of various long-term trajectories of anthropometric measures and blood pressure on incident AF among men and women is sparse.
Purpose
To investigate sex-specific trajectories of various anthropometric measures and blood pressure at population level, and further assess the impact of these trajectories on incident AF.
Methods
We included 5263 participants (mean age 72.1 years) with available repeated assessments measured 2 to 4 times for weight, body mass index (BMI), hip circumference (HC), waist circumference (WC), waist-to-hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP) and mean arterial pressure (MAP). Latent class linear mixed model with age as the time scale were fitted to identify the potential various classes in each risk factor. Cox proportional hazards regression models were used to assess the association between risk factors' trajectories and risk of new-onset AF, with the most favorable trajectory as a reference. Models were adjusted for traditional cardiovascular risk factors.
Results
2159 (41.0%) of all participants were men. Median follow-up time was 9.76 years during which the incidence rate of AF was 16.2 per 1000 person-years for men, and 11.3 per 1000 person-years for women. In full-adjusted model, various trajectories of BMI, HC, and MAP were significantly associated with incident AF among men, and trajectories of weight, BMI, WC, HC, SBP, PP and MAP were significantly associated with incident AF among women. For BMI, persistent-increasing BMI trajectory carried the highest risk for AF with hazard ratio (HR) and 95% confidence interval (95% CI) of 1.39 (1.05–1.85) in men and 1.60 (1.19–2.15) in women. Also, persistently increasing trajectories of weight [1.69 (1.20–2.37)], WC [1.39 (1.04–1.86)] and HC [1.56 (1.05–2.34)] among women conferred the largest risks. For SBP, the persistently hypertensive trajectory carried the largest risk for AF among women [2.06 (1.25–3.39)], while intensively increasing SBP trajectory conferred the largest risk among men [1.34 (0.89–2.02)], albeit non-significant. Similar associations were observed for MAP among men and women; associated risks were 1.77 (1.25–2.51) for the persistent-hypertensive trajectory in women and 1.64 (1.16–2.33) for the intensive-increasing trajectory in men.
Conclusions
Various trajectories of metabolic risk factors were associated with new-onset AF among men and women. Sex-specific associations between SBP and MAP with AF could imply the differential long-term impact of vascular function on AF development among men and women. This highlights the importance of sex-specific preventive strategies for AF in general population.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Gender and Prevention grant, ZonMwCSC scholarship for PhD research
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Affiliation(s)
- Z Lu
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - M.J Tilly
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - E Aribas
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - J.E Roeters Van Lennep
- Erasmus University Medical Centre, Department of Internal Medicine, Rotterdam, Netherlands (The)
| | - M.A Ikram
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
| | - N.M.S De Groot
- Erasmus University Medical Centre, Department of Cardiology, Rotterdam, Netherlands (The)
| | - J Van Rosmalen
- Erasmus University Medical Centre, Department of Biostatistics, Rotterdam, Netherlands (The)
| | - M Kavousi
- Erasmus University Medical Centre, Department of Epidemiology, Rotterdam, Netherlands (The)
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Zhou C, Xiong A, Miao L, Chen J, Li K, Liu H, Ma Z, Wang H, Lu Z, Shen J, Zhao J, Li W, Bi M, Zhang J, Xing L. P51.03 Oritinib (SH-1028), a Third-generation EGFR-TKI in Advanced NSCLC Patients with Positive EGFR T790M: Results of a Single-arm Phase Ib Trial. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Sun J, Liu H, Dang L, Liu J, Wang J, Lu Z, Lu Y. Genome shuffling of Lactobacillus plantarum 163 enhanced antibacterial activity and usefulness in preserving orange juice. Lett Appl Microbiol 2021; 73:741-749. [PMID: 34562034 DOI: 10.1111/lam.13566] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 07/15/2021] [Revised: 08/25/2021] [Accepted: 09/17/2021] [Indexed: 01/04/2023]
Abstract
Lactic acid bacteria have been used to inhibit the growth of spoilage bacteria in food and animal feeds. For instance, Lactobacillus plantarum 163 can inhibit efficiently the growth of both gram-positive and gram-negative bacteria. In our study, the antibacterial activity of L. plantarum 163 was further improved significantly by genome shuffling. The optimal conditions for protoplast formation and regeneration were 20 mg ml-1 lysozyme and 5 mg ml-1 mutanolysin for 30 min at 37°C using 0·5 mol l-1 sucrose as stabilizer. The protoplasts were inactivated under ultraviolet light for 120 s or heated at 58°C for 20 min. After two rounds of genome shuffling, the inhibitory activity of strain F2-14 was improved by 2·45- and 1·99-fold, respectively, as compared to their parent strains. The prepared antibacterial peptides supernatant (APS) was added to the orange juice to inhibit spores of Alicyclobacillus acidoterrestris (SAA) at 45 and 28°C. Results showed that the growth of A. acidoterrestris was significantly inhibited, and the decrease in total soluble solids, OD value and pH value was also delayed. After treatment with APS, the thermal sensitivity of spores was increased and its D value was reduced to 13·78, 3·87 and 1·47 min at 80, 90 and 95°C respectively.
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Affiliation(s)
- J Sun
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing, China
| | - H Liu
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - L Dang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - J Liu
- China-Canada Joint Lab of Food Nutrition and Health (Beijing), Beijing Technology & Business University (BTBU), Beijing, China
| | - J Wang
- China-Canada Joint Lab of Food Nutrition and Health (Beijing), Beijing Technology & Business University (BTBU), Beijing, China
| | - Z Lu
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Y Lu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing, China
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50
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Zhang Y, Betran AP, Li X, Liu D, Yuan N, Shang L, Lin W, Tu S, Wang L, Wu X, Zhu T, Zhang Y, Lu Z, Zheng L, Gu C, Fang J, Liu Z, Ma L, Cai Z, Yang X, Li H, Zhang H, Zhao X, Yan L, Wang L, Sun X, Luo Q, Liu L, Zhu J, Qin W, Yao Q, Dong S, Yang Y, Cui Z, He Y, Feng X, He L, Zhang H, Zhang L, Wang X, Souza JP, Qi H, Duan T, Zhang J. What is an appropriate caesarean delivery rate for China: a multicentre survey. BJOG 2021; 129:138-147. [PMID: 34559941 PMCID: PMC9297886 DOI: 10.1111/1471-0528.16951] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2021] [Indexed: 11/30/2022]
Abstract
Objective To assess the current status of caesarean delivery (CD) in China, propose reference CD rates for China overall, and by regions, investigate the main indications for CDs and identify possible areas for safe reduction. Design A multicentre cross‐sectional study. Setting A total of 94 hospitals across 23 provinces in China. Population A total of 73 977 randomly selected deliveries. Methods We used a modified Robson classification to characterise CDs in subgroups and by regions, and the World Health Organization (WHO) C‐Model to calculate reference CD rates. Main outcome measures CD rates in China. Results In 2015–2016, the overall CD rate in China was 38.9% (95% CI 38.6–39.3%). Considering the obstetric characteristics of the population, the multivariable model‐based reference CD rate was estimated at 28.5% (95% CI 28.3–28.8%). Accordingly, an absolute reduction of 10.4% (or 26.7% relative reduction) may be considered. The CD rate varied substantially by region. Previous CD was the most common indication in all regions, accounting for 38.2% of all CDs, followed by maternal request (9.8%), labour dystocia (8.3%), fetal distress (7.7%) and malpresentation (7.6%). Overall, 12.7% of women had prelabour CDs, contributing to 32.8% of the total CDs. Conclusions Nearly 39% of births were delivered by caesarean in China but a reduction of this rate by a quarter may be considered attainable. Repeat CD contributed more than one‐third of the total CDs. Given the large variation in maternal characteristics, region‐specific or even hospital‐specific reference CD rates are needed for precision management of CD. Tweetable abstract The caesarean rate in 2015–2016 in China was 38.9%, whereas the reference rate was 28.5%. The caesarean rate in 2015–2016 in China was 38.9%, whereas the reference rate was 28.5%. Linked article This article is commented on by M Varner, p. 148 in this issue. To view this mini commentary visit https://doi.org/10.1111/1471-0528.16953.
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Affiliation(s)
- Y Zhang
- Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - A P Betran
- UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization (WHO), Geneva, Switzerland
| | - X Li
- Obstetrics and Gynaecology Hospital of Fudan University, Shanghai, China
| | - D Liu
- Dongguan City Maternal and Child Health Hospital, Southern Medical University, Guangdong, China
| | - N Yuan
- Department of Obstetrics and Gynaecology, The Second Hospital Affiliated to Shaanxi University of Chinese Medicine, Shaanxi, China
| | - L Shang
- Department of Obstetrics, The Maternal and Child Health Hospital of Xinxiang, Henan, China
| | - W Lin
- Department of Obstetrics, The Maternal and Child Health Hospital of Dalian, Liaoning, China
| | - S Tu
- Department of Obstetrics and Gynaecology, Southwest Medical University, Sichuan, China
| | - L Wang
- Department of Obstetrics and Gynaecology, The First Hospital Affiliated to Kunming Medical University, Yunnan, China
| | - X Wu
- Department of Obstetrics, Jiangsu Women and Child Health Hospital, Jiangsu, China
| | - T Zhu
- The First People's Hospital of Zhaotong, Kunming Medical University, Yunnan, China
| | - Y Zhang
- Department of Obstetrics, The Maternal and Child Health Hospital of Qujing, Yunnan, China
| | - Z Lu
- Suining Central Hospital, Chongqing Medical University, Sichuan, China
| | - L Zheng
- Taizhou Hospital of Zhejiang Province, Zhejiang, China
| | - C Gu
- Yangzhou Maternal and Child Care Service Centre, Jiangsu, China
| | - J Fang
- Qingdao Chengyang People's Hospital, Shandong First Medical University, Shandong, China
| | - Z Liu
- Department of Obstetrics, The Maternal and Child Health Hospital of Baoji, Shaanxi, China
| | - L Ma
- Yanshi City People's Hospital, Henan, China
| | - Z Cai
- Department of Obstetrics and Gynaecology, Aviation Hospital of Beijing, China Medical University, Beijing, China
| | - X Yang
- Department of Obstetrics, The Maternal and Child Health Hospital of Luohu District, Shenzhen, China
| | - H Li
- Yanan University Affiliated Hospital, Shaanxi, China
| | - H Zhang
- Haikou Hospital of the Maternal and Child Health, Hainan, China
| | - X Zhao
- The First People's Hospital of Taizhou, Wenzhou Medical University, Zhejiang, China
| | - L Yan
- The Second Affiliated Hospital of Hebei North University, Hebei, China
| | - L Wang
- Department of Obstetrics and Gynaecology, The 174th Hospital of the Chinese People's Liberation Army, Xiamen University, Fujian, China
| | - X Sun
- Puyang Maternal and Child Care Centres, Henan, China
| | - Q Luo
- Luzhou People's Hospital, Sichuan, China
| | - L Liu
- Affiliated Hospital of Jiangsu University, Jiangsu, China
| | - J Zhu
- The Second People's Hospital of Tongxiang, Zhejiang, China
| | - W Qin
- Department of Obstetrics and Gynaecology, Aviation Hospital of Beijing, China Medical University, Beijing, China
| | - Q Yao
- The Central Hospital of Shaoyang, University of South China, Hunan, China
| | - S Dong
- Affiliated Hospital of Zunyi Medical University, Guizhou, China
| | - Y Yang
- The First Affiliated Hospital of Anhui Medical University, Anhui, China
| | - Z Cui
- Department of Obstetrics, The Maternal and Child Health Hospital of Cangzhou, Hebei, China
| | - Y He
- The Second People's Hospital of Qingyuan City, Guangdong, China
| | - X Feng
- Department of Obstetrics and Gynaecology, Fujian Medical University Union Hospital, Fujian Medical University, Fujian, China
| | - L He
- The People's Hospital of Pengzhou, Sichuan, China
| | - H Zhang
- Department of Obstetrics, Eastern District of the Fourth Hospital of Hebei Medical University, Hebei, China
| | - L Zhang
- Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - X Wang
- Department of Obstetrics and Gynaecology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J P Souza
- Department of Social Medicine, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, São Paulo, Brazil
| | - H Qi
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - T Duan
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - J Zhang
- Ministry of Education - Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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