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Sun H, Huang L, Huang J. Sparteine Thiourea: The Synthesis of an N Chiral Bispidine-Quinolizidine-Derived Organocatalyst and Applications in Asymmetric Synthesis of Dihydropyrano[ c]chromenes. J Org Chem 2024; 89:7225-7232. [PMID: 38712792 DOI: 10.1021/acs.joc.4c00638] [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: 05/08/2024]
Abstract
Bispidine, a bridged bicyclic diamine, has been widely utilized as a rigid scaffold in chiral chelating ligands in asymmetric synthesis. In particular, a chiral bispidine-quinolizidine hybrid, such as sparteine, was utilized in asymmetric synthesis involving a metal, exhibiting superior catalytic activity. In this study, we report the design and synthesis of a series of sparteine-derived organocatalysts and the utilization of these catalysts in tandem Michael addition-cyclization reactions. These catalysts have shown excellent catalytic reactivity and enantioselectivity, and the corresponding dihydropyrano[c]chromenes have been prepared in ≤99% yield and ≤99% ee with a low catalyst loading. The recycled catalysts maintain a good catalytic performance even after four cycles, and a gram-scale reaction with a 1% catalyst loading is also performed, providing the product in 96% yield and 98% ee.
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Affiliation(s)
- Hexin Sun
- School of Pharmaceutical Science and Technology (SPST), Faculty of Medicine, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, P. R. China
- International Joint Research Centre for Molecular Sciences, Tianjin University, Tianjin 300072, China
- Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Lin Huang
- School of Pharmaceutical Science and Technology (SPST), Faculty of Medicine, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, P. R. China
- International Joint Research Centre for Molecular Sciences, Tianjin University, Tianjin 300072, China
- Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Jianhui Huang
- School of Pharmaceutical Science and Technology (SPST), Faculty of Medicine, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, P. R. China
- International Joint Research Centre for Molecular Sciences, Tianjin University, Tianjin 300072, China
- Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
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2
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Do VV, Spears CA, Ling PM, Eriksen MP, Weaver SR, Pechacek TF, Nyman AL, Emery SL, Berg CJ, Huang J. Racial/ethnic disparities in exposure to e-cigarette advertising among U.S. youth. Public Health 2024; 230:89-95. [PMID: 38521029 DOI: 10.1016/j.puhe.2024.02.011] [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: 08/16/2023] [Revised: 02/07/2024] [Accepted: 02/14/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVES This study aims to assess exposure to e-cigarette advertising across multiple marketing channels among U.S. youth and to examine whether racial/ethnic disparities exist in exposure to e-cigarette advertisements. STUDY DESIGN This is a cross-sectional study. METHODS Cross-sectional data were drawn from a longitudinal survey of participants recruited from two nationally representative panels (NORC's AmeriSpeak® and GfK's KnowledgePanel). A total of 2043 youth aged 13-17 completed the initial 2018 survey, and 2013 youth completed the follow-up survey in 2019 (including a replenishment sample of 690 youth). Outcome variables were self-reported e-cigarette advertisement exposure in the past three months through various sources, such as television, point of sale, and online/social media. Generalized estimating equation models were used to estimate the adjusted odds ratios (AOR) of the association between racial/ethnic identity and e-cigarette advertisement exposure. RESULTS The prevalence of reported exposure to e-cigarette advertisements through any channel was 79.8% (95% CI: 77.1-82.2) in 2018 and 74.9% (95% CI: 72.5-77.1) in 2019, respectively. Point of sale was the most common source of e-cigarette advertisement exposure in both years. Non-Hispanic Black and non-Hispanic Asian youth were more likely to report exposure to e-cigarette advertisements through television (AOR = 2.07, 95% CI: 1.44-2.99 and AOR = 2.11, 95% CI: 1.17-3.82, respectively) and online/social media (AOR = 1.61; 95% CI: 1.11-2.33 and AOR = 1.99, 95% CI: 1.10-3.59, respectively) channels compared with non-Hispanic White youth. CONCLUSIONS A substantial proportion of U.S. youth reported exposure to e-cigarette advertising through a variety of marketing channels. Significant racial/ethnic disparities existed, with non-Hispanic Black and Asian youth reporting more marketing exposure than their non-Hispanic White counterparts.
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Affiliation(s)
- V V Do
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - C A Spears
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - P M Ling
- Center for Tobacco Control Research and Education, University of California San Francisco, San Francisco, CA, USA; Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA
| | - M P Eriksen
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - S R Weaver
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - T F Pechacek
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - A L Nyman
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA
| | - S L Emery
- NORC at University of Chicago, Chicago, IL, USA
| | - C J Berg
- Department of Prevention & Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - J Huang
- Department of Health Policy & Behavioral Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA.
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3
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Walsh ME, Retzler R, Huang J, Daglish A, Tweedie D, Pepper C. A prospective cohort study exploring the impact of tonsillectomy on feeding difficulties in children. Clin Otolaryngol 2024; 49:314-319. [PMID: 38415339 DOI: 10.1111/coa.14148] [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: 07/21/2023] [Revised: 10/06/2023] [Accepted: 02/11/2024] [Indexed: 02/29/2024]
Abstract
OBJECTIVES Paediatric feeding difficulties are common, affecting up to 25% of otherwise healthy children, symptoms include food refusal, gagging, choking, and excessive mealtime duration. These symptoms are commonly described in pre-operative discussions about tonsillectomy. This prospective study explores the impact of tonsillectomy on paediatric feeding difficulties. DESIGN This prospective cohort study invited caregivers of children undergoing tonsillectomy to complete a PediEAT questionnaire about their children's feeding behaviours, pre and post-operatively. The study was completed in two phases with 9 questions administered in phase 1 and three additional questions added for phase 2. A free text comments box was also provided. Responses were graded from 0 to 5, where 0 is 'never a problem' and 5 is 'always a problem' with eating behaviours. SETTING The study was conducted at our institution, a tertiary paediatric ENT unit. PARTICIPANTS Children aged between 6 months - 7 years undergoing tonsillectomy for any indication were invited to participate. MAIN OUTCOME MEASURES Changes to the Pedi-EAT scores pre and post operatively were the main outcome measure. RESULTS 102 participants were recruited between January 2020 and January 2022. The mean age of participants was 4.1 years, 87% had a concurrent adenoidectomy. The mean time to completion of post-operative questionnaire was 23 weeks after surgery. 9 of the 12 questions showed a statistically significant improvement in post-operative scores using a paired student t-test (p < 0.05). The most significant improvements related to 'gets tired from eating and is not able to finish' (1.49 pre-op, 0.91 post op, p < 0.01) and 'eats food that needs to be chewed' (1.4 pre-op, 0.72 post-op, p < 0.01). 13% of participants only underwent tonsillectomy and this group also showed a statistically significant improvement in fatigue during eating (p < 0.05). CONCLUSION Symptoms of fatigue during eating and avoidance of food requiring mastication are most likely to improve following tonsillectomy in children.
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Affiliation(s)
- M E Walsh
- Evelina London Childrens' Hospital, London, UK
| | - R Retzler
- Evelina London Childrens' Hospital, London, UK
| | - J Huang
- Evelina London Childrens' Hospital, London, UK
| | - A Daglish
- Evelina London Childrens' Hospital, London, UK
| | - D Tweedie
- Evelina London Childrens' Hospital, London, UK
| | - C Pepper
- Evelina London Childrens' Hospital, London, UK
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Ding S, Garofalo AM, Wang HQ, Weisberg DB, Li ZY, Jian X, Eldon D, Victor BS, Marinoni A, Hu QM, Carvalho IS, Odstrčil T, Wang L, Hyatt AW, Osborne TH, Gong XZ, Qian JP, Huang J, McClenaghan J, Holcomb CT, Hanson JM. A high-density and high-confinement tokamak plasma regime for fusion energy. Nature 2024; 629:555-560. [PMID: 38658758 PMCID: PMC11096097 DOI: 10.1038/s41586-024-07313-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/14/2024] [Indexed: 04/26/2024]
Abstract
The tokamak approach, utilizing a toroidal magnetic field configuration to confine a hot plasma, is one of the most promising designs for developing reactors that can exploit nuclear fusion to generate electrical energy1,2. To reach the goal of an economical reactor, most tokamak reactor designs3-10 simultaneously require reaching a plasma line-averaged density above an empirical limit-the so-called Greenwald density11-and attaining an energy confinement quality better than the standard high-confinement mode12,13. However, such an operating regime has never been verified in experiments. In addition, a long-standing challenge in the high-confinement mode has been the compatibility between a high-performance core and avoiding large, transient edge perturbations that can cause very high heat loads on the plasma-facing-components in tokamaks. Here we report the demonstration of stable tokamak plasmas with a line-averaged density approximately 20% above the Greenwald density and an energy confinement quality of approximately 50% better than the standard high-confinement mode, which was realized by taking advantage of the enhanced suppression of turbulent transport granted by high density-gradients in the high-poloidal-beta scenario14,15. Furthermore, our experimental results show an integration of very low edge transient perturbations with the high normalized density and confinement core. The operating regime we report supports some critical requirements in many fusion reactor designs all over the world and opens a potential avenue to an operating point for producing economically attractive fusion energy.
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Affiliation(s)
- S Ding
- General Atomics, San Diego, CA, USA.
| | | | - H Q Wang
- General Atomics, San Diego, CA, USA
| | | | - Z Y Li
- General Atomics, San Diego, CA, USA
| | - X Jian
- General Atomics, San Diego, CA, USA
| | - D Eldon
- General Atomics, San Diego, CA, USA
| | - B S Victor
- Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - A Marinoni
- Plasma Science and Fusion Center, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Q M Hu
- Princeton Plasma Physics Laboratory, Princeton University, Princeton, NJ, USA
| | | | | | - L Wang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China
| | | | | | - X Z Gong
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China
| | - J P Qian
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China
| | - J Huang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China
| | | | - C T Holcomb
- Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - J M Hanson
- Department of Applied Mathematics and Applied Physics, Columbia University, New York, NY, USA
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5
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Huang L, Wang Q, Fu P, Sun Y, Xu J, Browne DL, Huang J. Extended Quinolizinium-Fused Corannulene Derivatives: Synthesis and Properties. JACS Au 2024; 4:1623-1631. [PMID: 38665663 PMCID: PMC11040561 DOI: 10.1021/jacsau.4c00105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 02/21/2024] [Accepted: 02/21/2024] [Indexed: 04/28/2024]
Abstract
Reported here is the design and synthesis of a novel class of extended quinolizinium-fused corannulene derivatives with curved geometry. These intriguing molecules were synthesized through a rationally designed synthetic strategy, utilizing double Skraup-Doebner-Von Miller quinoline synthesis and a rhodium-catalyzed C-H activation/annulation (CHAA) as the key steps. Single-crystal X-ray analysis revealed a bowl depth of 1.28-1.50 Å and a unique "windmill-like" shape packing of 12a(2PF6-) due to the curvature and incorporation of two aminium ions. All of the newly reported curved salts exhibit green to orange fluorescence with enhanced quantum yields (Φf = 9-13%) and improved dispersibility compared to the pristine corannulene (Φf = 1%). The reduced optical energy gap and lower energy frontier orbital found by doping extended corannulene systems with nitrogen cations was investigated by UV-vis, fluorescence, and theoretical calculations. Electrochemical measurements reveal a greater electron-accepting behavior compared with that of their pyridine analogues. The successful synthesis, isolation, and evaluation of these curved salts provide a fresh perspective and opportunity for the design of cationic nitrogen-doped curved aromatic hydrocarbon-based materials.
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Affiliation(s)
- Lin Huang
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
- Collaborative
Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, P. R. China
- Tianjin
Key Laboratory for Modern Drug Delivery & High-Efficiency, School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Qing Wang
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
- National
Institute of Biological Sciences, Beijing, No. 7 Science Park Road, Zhongguancun Life Science
Park, Beijing 102206, China
| | - Peng Fu
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
- Collaborative
Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, P. R. China
- Tianjin
Key Laboratory for Modern Drug Delivery & High-Efficiency, School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Yuzhu Sun
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
- Collaborative
Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, P. R. China
- Tianjin
Key Laboratory for Modern Drug Delivery & High-Efficiency, School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Jun Xu
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Duncan L. Browne
- Department
of Pharmaceutical and Biological Chemistry, School of Pharmacy, University College London (UCL), 29-39 Brunswick Square, Bloomsbury, London WC1N
1AX, U.K.
| | - Jianhui Huang
- School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
- Collaborative
Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, P. R. China
- Tianjin
Key Laboratory for Modern Drug Delivery & High-Efficiency, School
of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, P. R. China
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6
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Huang J, Li QY, Ji W, Guo XF, Hu XH. [Clinical and genetic analysis of a patient with HUPRA syndrome due to missense variants of SARS2 gene and literature review]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:172-179. [PMID: 38326069 DOI: 10.3760/cma.j.cn112148-20231009-00268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Objective: To explore the clinical manifestations and genotype of an infant with hyperuricemia, pulmonary hypertension, renal failure in infancy, and alkalosis syndrome (HUPRAS). Methods: Clinical data of the patient were collected. Peripheral blood samples from the patient and his parents were acquainted for whole exome sequencing. The filtrated variants were verified by Sanger sequencing. The pathogenicity of the variants was predicted by bioinformatic tools. Results: The patient is a male infant of 6 months old, carrying two missense variants in the SARS2 allele: a paternal inherited c.1205G>A (p. Arg402His) and a maternal inherited c.680G>A (p. Arg227Gln). The two variants were in extremely low population frequencies. The pathogenetic prediction tools categorized them as deleterious. Arg402 and Arg227 were highly conserved in evolution. The variants led to changes in the hydrogen bonds and hydrophobicity of seryl-tRNA synthetase encoded by SARS2. Conclusions: c.1205G>A (p. Arg402His) and c.680G>A (p. Arg227Gln) are the possible causative variants of the HUPRA syndrome.
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Affiliation(s)
- J Huang
- Department of Cardiology, Fujian Children's Hospital, Fuzhou 350011, China
| | - Q Y Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung, Blood Vessel Diseases, Beijing 100029, China
| | - W Ji
- Department of Cardiology, Shanghai Jiaotong University School of Medicine, Shanghai Children's Medical Center, Shanghai 200127, China
| | - X F Guo
- Department of Pediatrics, Fujian Provincial Maternity and Children's Hospital, Fuzhou 350001, China
| | - X H Hu
- Department of Cardiology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200092, China
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7
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Zhou DY, Liu C, Huang J, Xu N, Ji X, Yang KX, Peng JB, Pan H, Xu WJ, Zhu Z. [Characteristics and clinical analysis of MLH1 c.463dupC gene mutation in a Lynch syndrome family]. Zhonghua Yi Xue Za Zhi 2024; 104:547-551. [PMID: 38317368 DOI: 10.3760/cma.j.cn112137-20231122-01170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
In this study, a case of Lynch syndrome (LS) family line with a novel mutation site in the MLH1 c.463dupC gene was reported and the clinical and pathogenic genetic features of this family were analyzed. A 40-year-old female patient with colon cancer diagnosed at the First Affiliated Hospital of Kunming Medical University on October 2, 2020 was retrospectively included. The clinical data of the family were collected and the family lineage was drawn. The family tumor history met the Amsterdam Criteria Ⅱ and the diagnostic criteria of LS in Chinese, which was a typical LS family lineage. A germline code-shift missense mutation c.463dupC in the MLH1 gene located in exon 6, a possible pathogenic variant, was detected by second-generation sequencing (NGS) in the patient. Subsequently, Sanger sequencing was performed on a total of 20 direct lineage members of the family of the MLH1 gene, 7 cases were found to harbor the mutation and included in the LS high-risk control. Follow-up to October 2023 showed that the patient had endometrial and cervical polyps, one case had colorectal cancer, and two cases had intestinal polyps, all were treated with early intervention and therapy; two cases did not show any clinical symptoms. This study is the first to report a new mutation site for the potentially pathogenic MLH1 c.463dupC, providing a rationale for the pathogenicity of the mutation and standardized health management for familial carriers.
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Affiliation(s)
- D Y Zhou
- Day Surgery Center, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - C Liu
- Day Surgery Center, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - J Huang
- Department of Oncology, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - N Xu
- Department of Oncology, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - X Ji
- Day Surgery Center, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - K X Yang
- Department of Oncology, Yunnan Provincial Cancer Hospital, Kunming 650118, China
| | - J B Peng
- Department of Oncology, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - H Pan
- Day Surgery Center, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - W J Xu
- Day Surgery Center, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Z Zhu
- Day Surgery Center, the First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
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8
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Wang Q, Fu X, Yan Y, Liu T, Xie Y, Song X, Zhou Y, Xu M, Wang P, Fu P, Huang J, Huang N. Structure-Based Identification of Organoruthenium Compounds as Nanomolar Antagonists of Cannabinoid Receptors. J Chem Inf Model 2024; 64:761-774. [PMID: 38215394 DOI: 10.1021/acs.jcim.3c01282] [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: 01/14/2024]
Abstract
Metal complexes exhibit a diverse range of coordination geometries, representing novel privileged scaffolds with convenient click types of preparation inaccessible for typical carbon-centered organic compounds. Herein, we explored the opportunity to identify biologically active organometallic complexes by reverse docking of a rigid, minimum-size octahedral organoruthenium scaffold against thousands of protein-binding pockets. Interestingly, cannabinoid receptor type 1 (CB1) was identified based on the docking scores and the degree of overlap between the docked organoruthenium scaffold and the hydrophobic scaffold of the cocrystallized ligand. Further structure-based optimization led to the discovery of organoruthenium complexes with nanomolar binding affinities and high selectivity toward CB2. Our work indicates that octahedral organoruthenium scaffolds may be advantageous for targeting the large and hydrophobic binding pockets and that the reverse docking approach may facilitate the discovery of novel privileged scaffolds, such as organometallic complexes, for exploring chemical space in lead discovery.
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Affiliation(s)
- Qing Wang
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
| | - Xuegang Fu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Yuting Yan
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Tao Liu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
| | - Yuting Xie
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
| | - Xiaoqing Song
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Yu Zhou
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
| | - Min Xu
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
| | - Ping Wang
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
| | - Peng Fu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Jianhui Huang
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
| | - Niu Huang
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing 102206, China
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing 102206, China
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9
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Wang Y, Hu D, Liu Y, Yang L, Huang J, Zhou J, Guo L, Fan X, Huang X, Peng M, Cheng C, Zhang W, Feng R, Tian X, Yu S, Xu KF. Sporadic lymphangioleiomyomatosis in a man with somatic mosaicism of TSC2 mutations, a case report. QJM 2024; 117:75-76. [PMID: 37843443 PMCID: PMC10849871 DOI: 10.1093/qjmed/hcad235] [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: 09/30/2023] [Indexed: 10/17/2023] Open
Affiliation(s)
- Y Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Hu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - L Yang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Huang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Zhou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Guo
- Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Center, Beijing, China
| | - X Fan
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - X Huang
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - M Peng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - C Cheng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - R Feng
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Tian
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Yu
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - K -F Xu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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10
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Wang HHX, Li YT, Huang J, Zhang H, Huang W, Wong MCS. COVID-19: emerging trends, healthcare practice, artificial intelligence-assisted decision support, and implications for service innovation. Hong Kong Med J 2024; 30:7-9. [PMID: 38385214 DOI: 10.12809/hkmj245155] [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: 02/23/2024] Open
Affiliation(s)
- H H X Wang
- Editors, Hong Kong Medical Journal
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- Young Cadre Branch, Guangdong Primary Healthcare Association, Guangzhou, China
| | - Y T Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - J Huang
- Editors, Hong Kong Medical Journal
- Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - H Zhang
- Department of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - W Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - M C S Wong
- Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Editor-in-Chief, Hong Kong Medical Journal
- School of Public Health, Fudan University, Shanghai, China
- The Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- School of Public Health, Peking University, Beijing, China
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11
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Lin WYY, Wong MCS, Huang J, Bai Y, Ng SC, Chan FKL. Dietary habits and physical activity during the third wave of the COVID-19 pandemic: associated factors, composite outcomes in a cross-sectional telephone survey of a Chinese population, and trend analysis. Hong Kong Med J 2024; 30:33-43. [PMID: 38369958 DOI: 10.12809/hkmj2210265] [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] [Indexed: 02/20/2024] Open
Abstract
INTRODUCTION The coronavirus disease 2019 (COVID-19) pandemic created many challenges for Hong Kong residents attempting to maintain healthy lifestyle habits. This study aimed to measure the prevalences of unhealthy dietary habits and physical inactivity levels in Hong Kong Chinese, identify associated factors, and conduct a time trend analysis during the third wave of the COVID-19 pandemic. METHODS A cross-sectional telephone survey was conducted in Hong Kong by simple random sampling. The survey comprised socio-demographic characteristics, clinical information, the Hong Kong Diet Score (HKDS), smoking and alcohol consumption, and a Chinese version of the International Physical Activity Questionnaire Short Form. The composite outcome was low HKDS, physical inactivity, smoking, and alcohol consumption. We used 14 Health Behaviour Survey reports from 2003 to 2019 to establish a trend analysis regarding fruit and vegetable consumption, physical activity level, smoking, and alcohol consumption. RESULTS We performed 1500 complete telephone surveys with a response rate of 58.8%. Most participants were older adults (≥65 years, 66.7%), women (65.6%), and married (77.9%). The HKDS was significantly lower in men, single individuals, low-income participants, alcohol drinkers, and patients with diabetes mellitus or renal disease. Participants who were single, undergoing long-term management of medical diseases, or had diabetes or renal diseases exhibited greater likelihood of physical inactivity. CONCLUSION Prevalences of unhealthy lifestyle habits were high among men, single individuals, and chronic disease patients during the third wave of the COVID-19 pandemic in Hong Kong. The adoption of physical activity habits tended to decrease in the past two decades.
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Affiliation(s)
- W Y Y Lin
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Microbiota Innovation Center, Hong Kong SAR, China
| | - M C S Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - J Huang
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y Bai
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S C Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Microbiota Innovation Center, Hong Kong SAR, China
- State Key Laboratory of Digestive Disease and Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - F K L Chan
- Microbiota Innovation Center, Hong Kong SAR, China
- Centre for Gut Microbiota Research, The Chinese University of Hong Kong, Hong Kong SAR, China
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12
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Yan XQ, Ye MJ, Zou Q, Chen P, He ZS, Wu B, He DL, He CH, Xue XY, Ji ZG, Chen H, Zhang S, Liu YP, Zhang XD, Fu C, Xu DF, Qiu MX, Lv JJ, Huang J, Ren XB, Cheng Y, Qin WJ, Zhang X, Zhou FJ, Ma LL, Guo JM, Ding DG, Wei SZ, He Y, Guo HQ, Shi BK, Liu L, Liu F, Hu ZQ, Jin XM, Yang L, Zhu SX, Liu JH, Huang YH, Xu T, Liu B, Sun T, Wang ZJ, Jiang HW, Yu DX, Zhou AP, Jiang J, Luan GD, Jin CL, Xu J, Hu JX, Huang YR, Guo J, Zhai W, Sheng XN. Toripalimab plus axitinib versus sunitinib as first-line treatment for advanced renal cell carcinoma: RENOTORCH, a randomized, open-label, phase III study. Ann Oncol 2024; 35:190-199. [PMID: 37872020 DOI: 10.1016/j.annonc.2023.09.3108] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors in combination with tyrosine kinase inhibitors are standard treatments for advanced clear cell renal cell carcinoma (RCC). This phase III RENOTORCH study compared the efficacy and safety of toripalimab plus axitinib versus sunitinib for the first-line treatment of patients with intermediate-/poor-risk advanced RCC. PATIENTS AND METHODS Patients with intermediate-/poor-risk unresectable or metastatic RCC were randomized in a ratio of 1 : 1 to receive toripalimab (240 mg intravenously once every 3 weeks) plus axitinib (5 mg orally twice daily) or sunitinib [50 mg orally once daily for 4 weeks (6-week cycle) or 2 weeks (3-week cycle)]. The primary endpoint was progression-free survival (PFS) assessed by an independent review committee (IRC). The secondary endpoints were investigator-assessed PFS, overall response rate (ORR), overall survival (OS), and safety. RESULTS A total of 421 patients were randomized to receive toripalimab plus axitinib (n = 210) or sunitinib (n = 211). With a median follow-up of 14.6 months, toripalimab plus axitinib significantly reduced the risk of disease progression or death by 35% compared with sunitinib as assessed by an IRC [hazard ratio (HR) 0.65, 95% confidence interval (CI) 0.49-0.86; P = 0.0028]. The median PFS was 18.0 months in the toripalimab-axitinib group, whereas it was 9.8 months in the sunitinib group. The IRC-assessed ORR was significantly higher in the toripalimab-axitinib group compared with the sunitinib group (56.7% versus 30.8%; P < 0.0001). An OS trend favoring toripalimab plus axitinib was also observed (HR 0.61, 95% CI 0.40-0.92). Treatment-related grade ≥3 adverse events occurred in 61.5% of patients in the toripalimab-axitinib group and 58.6% of patients in the sunitinib group. CONCLUSION In patients with previously untreated intermediate-/poor-risk advanced RCC, toripalimab plus axitinib provided significantly longer PFS and higher ORR than sunitinib and had a manageable safety profile TRIAL REGISTRATION: ClinicalTrials.gov NCT04394975.
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Affiliation(s)
- X Q Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - M J Ye
- Department of Urology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha
| | - Q Zou
- Department of Urology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Affiliated Cancer Hospital of Nanjing Medical University, Nanjing
| | - P Chen
- Department of Urology, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi
| | - Z S He
- Department of Urology, First Hospital of Peking University, Beijing
| | - B Wu
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang
| | - D L He
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an
| | - C H He
- Department of Urology, Cancer Hospital of Henan Province, Zhengzhou
| | - X Y Xue
- Department of Urology, The First Affiliated Hospital, Fujian Medical University, Fuzhou
| | - Z G Ji
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - H Chen
- Department of Urology, Harbin Medical University Cancer Hospital, Harbin
| | - S Zhang
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu
| | - Y P Liu
- Department of Oncology, The First Hospital of China Medical University, Shenyang
| | - X D Zhang
- Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing
| | - C Fu
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang
| | - D F Xu
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai
| | - M X Qiu
- Department of Urology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu
| | - J J Lv
- Department of Urology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan
| | - J Huang
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou
| | - X B Ren
- Department of Immunology and Biotherapy, Cancer Institute & Hospital, Tianjin Medical University, Tianjin
| | - Y Cheng
- Department of Medical Thoracic Oncology, Jilin Provincial Cancer Hospital, Changchun
| | - W J Qin
- Department of Urology, Xijing Hospital of Air Force Military Medical University, Xi'an
| | - X Zhang
- Department of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou
| | - L L Ma
- Department of Urology, Peking University Third Hospital, Beijing
| | - J M Guo
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai
| | - D G Ding
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou
| | - S Z Wei
- Department of Urology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
| | - Y He
- Department of Urology, The Affiliated Hospital of Jiaxing University, Jiaxing
| | - H Q Guo
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing
| | - B K Shi
- Department of Urology, Qilu Hospital of Shandong University, Jinan
| | - L Liu
- Department of Urology, Qilu Hospital of Shandong University, Jinan
| | - F Liu
- Department of Urology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou
| | - Z Q Hu
- Department of Urology, Tongji Hospital affiliated to Tongji Medical College of Huazhong University of Science & Technology, Wuhan
| | - X M Jin
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan
| | - L Yang
- Department of Urology, The Second Hospital of Lanzhou University, Lanzhou
| | - S X Zhu
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou
| | - J H Liu
- Department of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming
| | - Y H Huang
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou
| | - T Xu
- Department of Urology, Peking University People's Hospital, Beijing
| | - B Liu
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou
| | - T Sun
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang
| | - Z J Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing
| | - H W Jiang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai
| | - D X Yu
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei
| | - A P Zhou
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing
| | - J Jiang
- Department of Urology, The PLA General Hospital Army Characteristic Medical Center, Chongqing
| | - G D Luan
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - C L Jin
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - J Xu
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - J X Hu
- Shanghai Junshi Biosciences Co., Ltd., Shanghai
| | - Y R Huang
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing
| | - W Zhai
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - X N Sheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genitourinary Oncology, Peking University Cancer Hospital & Institute, Beijing.
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Agostini M, Alexander A, Araujo GR, Bakalyarov AM, Balata M, Barabanov I, Baudis L, Bauer C, Belogurov S, Bettini A, Bezrukov L, Biancacci V, Bossio E, Bothe V, Brudanin V, Brugnera R, Caldwell A, Cattadori C, Chernogorov A, Comellato T, D’Andrea V, Demidova EV, Marco ND, Doroshkevich E, Fischer F, Fomina M, Gangapshev A, Garfagnini A, Gooch C, Grabmayr P, Gurentsov V, Gusev K, Hakenmüller J, Hemmer S, Hofmann W, Huang J, Hult M, Inzhechik LV, Csáthy JJ, Jochum J, Junker M, Kazalov V, Kermaïdic Y, Khushbakht H, Kihm T, Kilgus K, Kirpichnikov IV, Klimenko A, Kneißl R, Knöpfle KT, Kochetov O, Kornoukhov VN, Korošec M, Krause P, Kuzminov VV, Laubenstein M, Lindner M, Lippi I, Lubashevskiy A, Lubsandorzhiev B, Lutter G, Macolino C, Majorovits B, Maneschg W, Manzanillas L, Marshall G, Misiaszek M, Morella M, Müller Y, Nemchenok I, Pandola L, Pelczar K, Pertoldi L, Piseri P, Pullia A, Ransom C, Rauscher L, Redchuk M, Riboldi S, Rumyantseva N, Sada C, Salamida F, Schönert S, Schreiner J, Schütt M, Schütz AK, Schulz O, Schwarz M, Schwingenheuer B, Selivanenko O, Shevchik E, Shirchenko M, Shtembari L, Simgen H, Smolnikov A, Stukov D, Vasenko AA, Veresnikova A, Vignoli C, Sturm KV, Wester T, Wiesinger C, Wojcik M, Yanovich E, Zatschler B, Zhitnikov I, Zhukov SV, Zinatulina D, Zschocke A, Zsigmond AJ, Zuber K, Zuzel G. An improved limit on the neutrinoless double-electron capture of 36Ar with GERDA. Eur Phys J C Part Fields 2024; 84:34. [PMID: 38229675 PMCID: PMC10788323 DOI: 10.1140/epjc/s10052-023-12280-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/21/2023] [Indexed: 01/18/2024]
Abstract
The GERmanium Detector Array (Gerda) experiment operated enriched high-purity germanium detectors in a liquid argon cryostat, which contains 0.33% of 36 Ar, a candidate isotope for the two-neutrino double-electron capture (2ν ECEC) and therefore for the neutrinoless double-electron capture (0ν ECEC). If detected, this process would give evidence of lepton number violation and the Majorana nature of neutrinos. In the radiative 0ν ECEC of 36 Ar, a monochromatic photon is emitted with an energy of 429.88 keV, which may be detected by the Gerda germanium detectors. We searched for the 36 Ar 0ν ECEC with Gerda data, with a total live time of 4.34 year (3.08 year accumulated during Gerda Phase II and 1.26 year during Gerda Phase I). No signal was found and a 90% CL lower limit on the half-life of this process was established T 1 / 2 > 1.5 · 10 22 year. Supplementary Information The online version contains supplementary material available at 10.1140/epjc/s10052-023-12280-6.
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14
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Huang J, Liao LY, Jiang WJ, Li YH, Lu BM, Wen ZP, Li FJ, Fang DL, Lu GM. Identification of new subtypes and potential genetic signatures in triple-negative breast cancer using weighted gene co-expression network analysis. Eur Rev Med Pharmacol Sci 2024; 28:603-614. [PMID: 38305604 DOI: 10.26355/eurrev_202401_35057] [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: 02/03/2024]
Abstract
OBJECTIVE Triple-negative breast cancer (TNBC) is a heterogeneous disease with aggressive behavior and poor prognosis. Here, we used gene expression profiling to define new subtypes of TNBC, which may improve prevention and treatment through personalized medicine. MATERIALS AND METHODS Gene expression profiles from the public datasets GSE76250, GSE61724, GSE61723, and GES76275 were subjected to co-expression analysis to identify differentially expressed genes (DEGs) between TNBC and non-TNBC tissues. Consistency clustering was used to define TNBC subtypes, whose correlation with gene modules was analyzed. Enrichment analysis was used to identify module genes' biological functions and pathways. Single-sample gene set enrichment analysis was used to assess immune cell infiltration in the different TNBC subtypes, and the ChAMP package was used to examine methylation sites in TNBC. RESULTS A total of 4,958 DEGs in TNBC were identified, which showed the same expression differences across all datasets as in the dataset GSE76250 and clustered into 9 co-expression modules. TNBC samples clustered into two subtypes based on nine hub genes from the modules. Class I showed the most significant correlation with module 1, whose genes were related mainly to interleukin-1 response, while class II showed the most significant correlation with module 6, whose genes were related mainly to the transforming growth factor-β pathway. Class I was significantly enriched in cell cycle and DNA replication, and tumors of this subtype showed lower immune cell infiltration than class II tumors. Tumor infiltration by Th2 cells correlated positively with the expression of MCM10 and negatively with the expression of PREX2. A greater methylation of CIDEC, DLC1, EDNRB, EGR2 and SRPK1 correlated with better prognosis. CONCLUSIONS Class I TNBC, for which a useful biomarker is MCM10, may be associated with a worse prognosis than class II TNBC, for which PREX2 may serve as a biomarker.
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Affiliation(s)
- J Huang
- Department of Gland Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.
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Staplin N, Haynes R, Judge PK, Wanner C, Green JB, Emberson J, Preiss D, Mayne KJ, Ng SYA, Sammons E, Zhu D, Hill M, Stevens W, Wallendszus K, Brenner S, Cheung AK, Liu ZH, Li J, Hooi LS, Liu WJ, Kadowaki T, Nangaku M, Levin A, Cherney D, Maggioni AP, Pontremoli R, Deo R, Goto S, Rossello X, Tuttle KR, Steubl D, Petrini M, Seidi S, Landray MJ, Baigent C, Herrington WG, Abat S, Abd Rahman R, Abdul Cader R, Abdul Hafidz MI, Abdul Wahab MZ, Abdullah NK, Abdul-Samad T, Abe M, Abraham N, Acheampong S, Achiri P, Acosta JA, Adeleke A, Adell V, Adewuyi-Dalton R, Adnan N, Africano A, Agharazii M, Aguilar F, Aguilera A, Ahmad M, Ahmad MK, Ahmad NA, Ahmad NH, Ahmad NI, Ahmad Miswan N, Ahmad Rosdi H, Ahmed I, Ahmed S, Ahmed S, Aiello J, Aitken A, AitSadi R, Aker S, Akimoto S, Akinfolarin A, Akram S, Alberici F, Albert C, Aldrich L, Alegata M, Alexander L, Alfaress S, Alhadj Ali M, Ali A, Ali A, Alicic R, Aliu A, Almaraz R, Almasarwah R, Almeida J, Aloisi A, Al-Rabadi L, Alscher D, Alvarez P, Al-Zeer B, Amat M, Ambrose C, Ammar H, An Y, Andriaccio L, Ansu K, Apostolidi A, Arai N, Araki H, Araki S, Arbi A, Arechiga O, Armstrong S, Arnold T, Aronoff S, Arriaga W, Arroyo J, Arteaga D, Asahara S, Asai A, Asai N, Asano S, Asawa M, Asmee MF, Aucella F, Augustin M, Avery A, Awad A, Awang IY, Awazawa M, Axler A, Ayub W, Azhari Z, Baccaro R, Badin C, Bagwell B, Bahlmann-Kroll E, Bahtar AZ, Baigent C, Bains D, Bajaj H, Baker R, Baldini E, Banas B, Banerjee D, Banno S, Bansal S, Barberi S, Barnes S, Barnini C, Barot C, Barrett K, Barrios R, Bartolomei Mecatti B, Barton I, Barton J, Basily W, Bavanandan S, Baxter A, Becker L, Beddhu S, Beige J, Beigh S, Bell S, Benck U, Beneat A, Bennett A, Bennett D, Benyon S, Berdeprado J, Bergler T, Bergner A, Berry M, Bevilacqua M, Bhairoo J, Bhandari S, Bhandary N, Bhatt A, Bhattarai M, Bhavsar M, Bian W, Bianchini F, Bianco S, Bilous R, Bilton J, Bilucaglia D, Bird C, Birudaraju D, Biscoveanu M, Blake C, Bleakley N, Bocchicchia K, Bodine S, Bodington R, Boedecker S, Bolduc M, Bolton S, Bond C, Boreky F, Boren K, Bouchi R, Bough L, Bovan D, Bowler C, Bowman L, Brar N, Braun C, Breach A, Breitenfeldt M, Brenner S, Brettschneider B, Brewer A, Brewer G, Brindle V, Brioni E, Brown C, Brown H, Brown L, Brown R, Brown S, Browne D, Bruce K, Brueckmann M, Brunskill N, Bryant M, Brzoska M, Bu Y, Buckman C, Budoff M, Bullen M, Burke A, Burnette S, Burston C, Busch M, Bushnell J, Butler S, Büttner C, Byrne C, Caamano A, Cadorna J, Cafiero C, Cagle M, Cai J, Calabrese K, Calvi C, Camilleri B, Camp S, Campbell D, Campbell R, Cao H, Capelli I, Caple M, Caplin B, Cardone A, Carle J, Carnall V, Caroppo M, Carr S, Carraro G, Carson M, Casares P, Castillo C, Castro C, Caudill B, Cejka V, Ceseri M, Cham L, Chamberlain A, Chambers J, Chan CBT, Chan JYM, Chan YC, Chang E, Chang E, Chant T, Chavagnon T, Chellamuthu P, Chen F, Chen J, Chen P, Chen TM, Chen Y, Chen Y, Cheng C, Cheng H, Cheng MC, Cherney D, Cheung AK, Ching CH, Chitalia N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, 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H, Jeffers L, Jenkins A, Jesky M, Jesus-Silva J, Jeyarajah D, Jiang Y, Jiao X, Jimenez G, Jin B, Jin Q, Jochims J, Johns B, Johnson C, Johnson T, Jolly S, Jones L, Jones L, Jones S, Jones T, Jones V, Joseph M, Joshi S, Judge P, Junejo N, Junus S, Kachele M, Kadowaki T, Kadoya H, Kaga H, Kai H, Kajio H, Kaluza-Schilling W, Kamaruzaman L, Kamarzarian A, Kamimura Y, Kamiya H, Kamundi C, Kan T, Kanaguchi Y, Kanazawa A, Kanda E, Kanegae S, Kaneko K, Kaneko K, Kang HY, Kano T, Karim M, Karounos D, Karsan W, Kasagi R, Kashihara N, Katagiri H, Katanosaka A, Katayama A, Katayama M, Katiman E, Kato K, Kato M, Kato N, Kato S, Kato T, Kato Y, Katsuda Y, Katsuno T, Kaufeld J, Kavak Y, Kawai I, Kawai M, Kawai M, Kawase A, Kawashima S, Kazory A, Kearney J, Keith B, Kellett J, Kelley S, Kershaw M, Ketteler M, Khai Q, Khairullah Q, Khandwala H, Khoo KKL, Khwaja A, Kidokoro K, Kielstein J, Kihara M, Kimber C, Kimura S, Kinashi H, Kingston H, Kinomura M, Kinsella-Perks E, Kitagawa M, Kitajima M, Kitamura S, Kiyosue A, Kiyota M, Klauser F, Klausmann G, Kmietschak W, Knapp K, Knight C, Knoppe A, Knott C, Kobayashi M, Kobayashi R, Kobayashi T, Koch M, Kodama S, Kodani N, Kogure E, Koizumi M, Kojima H, Kojo T, Kolhe N, Komaba H, Komiya T, Komori H, Kon SP, Kondo M, Kondo M, Kong W, Konishi M, Kono K, Koshino M, Kosugi T, Kothapalli B, Kozlowski T, Kraemer B, Kraemer-Guth A, Krappe J, Kraus D, Kriatselis C, Krieger C, Krish P, Kruger B, Ku Md Razi KR, Kuan Y, Kubota S, Kuhn S, Kumar P, Kume S, Kummer I, Kumuji R, Küpper A, Kuramae T, Kurian L, Kuribayashi C, Kurien R, Kuroda E, Kurose T, Kutschat A, Kuwabara N, Kuwata H, La Manna G, Lacey M, Lafferty K, LaFleur P, Lai V, Laity E, Lambert A, Landray MJ, Langlois M, Latif F, Latore E, Laundy E, Laurienti D, Lawson A, Lay M, Leal I, Leal I, Lee AK, Lee J, Lee KQ, Lee R, Lee SA, Lee YY, Lee-Barkey Y, Leonard N, Leoncini G, Leong CM, Lerario S, Leslie A, Levin A, Lewington A, Li J, Li N, Li X, Li Y, Liberti L, Liberti ME, Liew A, Liew YF, Lilavivat U, Lim SK, Lim YS, Limon E, Lin H, Lioudaki E, Liu H, Liu J, Liu L, Liu Q, Liu WJ, Liu X, Liu Z, Loader D, Lochhead H, Loh CL, Lorimer A, Loudermilk L, Loutan J, Low CK, Low CL, Low YM, Lozon Z, Lu Y, Lucci D, Ludwig U, Luker N, Lund D, Lustig R, Lyle S, Macdonald C, MacDougall I, Machicado R, MacLean D, Macleod P, Madera A, Madore F, Maeda K, Maegawa H, Maeno S, Mafham M, Magee J, Maggioni AP, Mah DY, Mahabadi V, Maiguma M, Makita Y, Makos G, Manco L, Mangiacapra R, Manley J, Mann P, Mano S, Marcotte G, Maris J, Mark P, Markau S, Markovic M, Marshall C, Martin M, Martinez C, Martinez S, Martins G, Maruyama K, Maruyama S, Marx K, Maselli A, Masengu A, Maskill A, Masumoto S, Masutani K, Matsumoto M, Matsunaga T, Matsuoka N, Matsushita M, Matthews M, Matthias S, Matvienko E, Maurer M, Maxwell P, Mayne KJ, Mazlan N, Mazlan SA, Mbuyisa A, McCafferty K, McCarroll F, McCarthy T, McClary-Wright C, McCray K, McDermott P, McDonald C, McDougall R, McHaffie E, McIntosh K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, Nakahara M, Nakamura J, Nakamura R, Nakamura T, Nakaoka M, Nakashima E, Nakata J, Nakata M, Nakatani S, Nakatsuka A, Nakayama Y, Nakhoul G, Nangaku M, Naverrete G, Navivala A, Nazeer I, Negrea L, Nethaji C, Newman E, Ng SYA, Ng TJ, Ngu LLS, Nimbkar T, Nishi H, Nishi M, Nishi S, Nishida Y, Nishiyama A, Niu J, Niu P, Nobili G, Nohara N, Nojima I, Nolan J, Nosseir H, Nozawa M, Nunn M, Nunokawa S, Oda M, Oe M, Oe Y, Ogane K, Ogawa W, Ogihara T, Oguchi G, Ohsugi M, Oishi K, Okada Y, Okajyo J, Okamoto S, Okamura K, Olufuwa O, Oluyombo R, Omata A, Omori Y, Ong LM, Ong YC, Onyema J, Oomatia A, Oommen A, Oremus R, Orimo Y, Ortalda V, Osaki Y, Osawa Y, Osmond Foster J, O'Sullivan A, Otani T, Othman N, Otomo S, O'Toole J, Owen L, Ozawa T, Padiyar A, Page N, Pajak S, Paliege A, Pandey A, Pandey R, Pariani H, Park J, Parrigon M, Passauer J, Patecki M, Patel M, Patel R, Patel T, Patel Z, Paul R, Paul R, Paulsen L, Pavone L, Peixoto A, Peji J, Peng BC, Peng K, Pennino L, Pereira E, Perez E, Pergola P, Pesce F, Pessolano G, Petchey W, Petr EJ, Pfab T, Phelan P, Phillips R, Phillips T, Phipps M, Piccinni G, Pickett T, Pickworth S, Piemontese M, Pinto D, Piper J, Plummer-Morgan J, Poehler D, Polese L, Poma V, Pontremoli R, Postal A, Pötz C, Power A, Pradhan N, Pradhan R, Preiss D, Preiss E, Preston K, Prib N, Price L, Provenzano C, Pugay C, Pulido R, Putz F, Qiao Y, Quartagno R, Quashie-Akponeware M, Rabara R, Rabasa-Lhoret R, Radhakrishnan D, Radley M, Raff R, Raguwaran S, Rahbari-Oskoui F, Rahman M, Rahmat K, Ramadoss S, Ramanaidu S, Ramasamy S, Ramli R, Ramli S, Ramsey T, Rankin A, Rashidi A, Raymond L, Razali WAFA, Read K, Reiner H, Reisler A, Reith C, Renner J, Rettenmaier B, Richmond L, Rijos D, Rivera R, Rivers V, Robinson H, Rocco M, Rodriguez-Bachiller I, Rodriquez R, Roesch C, Roesch J, Rogers J, Rohnstock M, Rolfsmeier S, Roman M, Romo A, Rosati A, Rosenberg S, Ross T, Rossello X, Roura M, Roussel M, Rovner S, Roy S, Rucker S, Rump L, Ruocco M, Ruse S, Russo F, Russo M, Ryder M, Sabarai A, Saccà C, Sachson R, Sadler E, Safiee NS, Sahani M, Saillant A, Saini J, Saito C, Saito S, Sakaguchi K, Sakai M, Salim H, Salviani C, Sammons E, Sampson A, Samson F, Sandercock P, Sanguila S, Santorelli G, Santoro D, Sarabu N, Saram T, Sardell R, Sasajima H, Sasaki T, Satko S, Sato A, Sato D, Sato H, Sato H, Sato J, Sato T, Sato Y, Satoh M, Sawada K, Schanz M, Scheidemantel F, Schemmelmann M, Schettler E, Schettler V, Schlieper GR, Schmidt C, Schmidt G, Schmidt U, Schmidt-Gurtler H, Schmude M, Schneider A, Schneider I, Schneider-Danwitz C, Schomig M, Schramm T, Schreiber A, Schricker S, Schroppel B, Schulte-Kemna L, Schulz E, Schumacher B, Schuster A, Schwab A, Scolari F, Scott A, Seeger W, Seeger W, Segal M, Seifert L, Seifert M, Sekiya M, Sellars R, Seman MR, Shah S, Shah S, Shainberg L, Shanmuganathan M, Shao F, Sharma K, Sharpe C, Sheikh-Ali M, Sheldon J, Shenton C, Shepherd A, Shepperd M, Sheridan R, Sheriff Z, Shibata Y, Shigehara T, Shikata K, Shimamura K, Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Chen R, Zhao B, Huang J, Zhang M, Wang Y, Fu J, Liang H, Zhan H. The Effects of Different Exercise Interventions on Patients with Subjective Cognitive Decline: A Systematic Review and Network Meta-Analysis. J Prev Alzheimers Dis 2024; 11:620-631. [PMID: 38706278 PMCID: PMC11060994 DOI: 10.14283/jpad.2024.65] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/18/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND AND OBJECTIVE Exercise is a promising non-pharmacological therapy for subjective cognitive decline, but it is unclear which type of exercise is most effective. The objective was to assess the comparative effects and ranks of all exercise-based interventions on cognitive function in patients with subjective cognitive decline (SCD). METHOD In this network meta-analysis, Online databases for Web of Science, PubMed, Embase, Medline, Cochrane Library and PsycINFO were searched from inception to April 30, 2023. The included studies are randomized controlled trials assessing the efficacy of exercise interventions for individuals with SCD. The primary outcome measure is memory, while secondary outcome measures encompass executive function, attention, verbal fluency, and global cognitive function. Represented using Standardized Mean Differences (SMDs) along with their 95% Confidence Intervals (CIs). Bias assessment was conducted in accordance with the 'Cochrane Risk of Bias Assessment Tool, 2nd Edition' (RoB 2). Pairwise meta-analysis was carried out using the 'meta-analysis' module within STATA 14.0, and network meta-analysis was performed using the 'mvmeta' and 'network' packages available in STATA 14.0. Registration number CRD42023289687. RESULT This study included a total of 11 randomized controlled trials, encompassing 1,166 patients. Mind-body exercise was found to be efficacious in enhancing or sustaining memory (SMD: 0.58, 95%CI: 0.06 ~ 1.10) and executive function (SMD: 0.41, 95%CI: 0.09 ~ 0.73) in individuals with subjective cognitive decline. Furthermore, mind-body exercise exhibited the highest probability of being the most effective measures for improving or preventing the decline in memory (surface under cumulative ranking curve (SUCRA) value: 90.4) and executive function (SUCRA value: 91.8). The second-ranked moderate-intensity aerobic exercise has also shown a positive effect on the improvement of executive function in patients with subjective cognitive decline (SMD: 0.23, 95%CI: 0.03 ~ 0.43, SUCRA value: 68.2). However, we did not observe a significant effectiveness of exercise interventions on verbal fluency, attention, and overall cognitive function in subjective cognitive decline. CONCLUSION Mind-body exercise may potentially be the optimal strategies for enhancing memory and executive function in individuals with subjective cognitive decline. Additionally, moderate-intensity aerobic exercise has shown a modest positive effect on executive function in subjective cognitive decline. When resources permit, practical application of these findings may be considered. Nevertheless, further support for the conclusions of this study is warranted through larger sample sizes and well-designed multicenter trials.
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Affiliation(s)
- R Chen
- Hongrui Zhan, Zhuhai, Guangdong, China. Tel: +86 13823017727. E-mail address:
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Xu C, Wang Q, Wang D, Wang W, Fang W, Li Z, Liu A, Yu J, Zhong W, Wang Z, Zhang Y, Liu J, Zhang S, Cai X, Liu A, Li W, Zhan P, Liu H, Lv T, Miao L, Min L, Chen Y, Yuan J, Wang F, Jiang Z, Lin G, Huang L, Pu X, Lin R, Liu W, Rao C, Lv D, Yu Z, Li X, Tang C, Zhou C, Zhang J, Xue J, Guo H, Chu Q, Meng R, Wu J, Zhang R, Zhou J, Zhu Z, Li Y, Qiu H, Xia F, Lu Y, Chen X, Ge R, Dai E, Han Y, Pan W, Pang F, He Q, Huang J, Wang K, Wu F, Xu B, Wang L, Zhu Y, Lin L, Xie Y, Lin X, Cai J, Xu L, Li J, Jiao X, Li K, Wei J, Feng H, Wang L, Du Y, Yao W, Shi X, Niu X, Yuan D, Yao Y, Huang J, Feng Y, Zhang Y, Sun P, Wang H, Ye M, Wang Z, Hao Y, Wang Z, Wan B, Lv D, Yang S, Kang J, Zhang J, Zhang C, Ou J, Shi L, Wang Y, Li B, Zhang Z, Li Z, Liu Z, Yang N, Wu L, Wang H, Jin G, Wang G, Wang J, Fang M, Fang Y, Li Y, Wang X, Zhang Y, Zhu X, Shen Y, Ma S, Wang B, Si L, Song Y, Lu Y, Chen J, Song Z. Expert Consensus on the Diagnosis and Treatment of NRG1/2 Gene Fusion Solid Tumors. Glob Med Genet 2024; 11:86-99. [PMID: 38414979 PMCID: PMC10898996 DOI: 10.1055/s-0044-1781457] [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] [Indexed: 02/29/2024] Open
Abstract
The fusion genes NRG1 and NRG2 , members of the epidermal growth factor (EGF) receptor family, have emerged as key drivers in cancer. Upon fusion, NRG1 retains its EGF-like active domain, binds to the ERBB ligand family, and triggers intracellular signaling cascades, promoting uncontrolled cell proliferation. The incidence of NRG1 gene fusion varies across cancer types, with lung cancer being the most prevalent at 0.19 to 0.27%. CD74 and SLC3A2 are the most frequently observed fusion partners. RNA-based next-generation sequencing is the primary method for detecting NRG1 and NRG2 gene fusions, whereas pERBB3 immunohistochemistry can serve as a rapid prescreening tool for identifying NRG1 -positive patients. Currently, there are no approved targeted drugs for NRG1 and NRG2 . Common treatment approaches involve pan-ERBB inhibitors, small molecule inhibitors targeting ERBB2 or ERBB3, and monoclonal antibodies. Given the current landscape of NRG1 and NRG2 in solid tumors, a consensus among diagnostic and treatment experts is proposed, and clinical trials hold promise for benefiting more patients with NRG1 and NRG2 gene fusion solid tumors.
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Affiliation(s)
- Chunwei Xu
- Department of Scientific Research, Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Hangzhou Zhejiang, People's Republic of China
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Qian Wang
- Department of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing Jiangsu, People's Republic of China
| | - Dong Wang
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Wenxian Wang
- Department of Chemotherapy, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China
| | - Wenfeng Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou Guangdong, People's Republic of China
| | - Ziming Li
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Aijun Liu
- Senior Department of Pathology, the 7th Medical Center of PLA General Hospital, Beijing, People's Republic of China
| | - Jinpu Yu
- Department of Cancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China
| | - Wenzhao Zhong
- Department of Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, Guangzhou Guangdong, People's Republic of China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Yongchang Zhang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha Hunan, People's Republic of China
| | - Jingjing Liu
- Department of Thoracic Cancer, Jilin Cancer Hospital, Jilin Changchun, People's Republic of China
| | - Shirong Zhang
- Department of Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer Center, Zhejiang University School of Medicine, Hangzhou Zhejiang, People's Republic of China
| | - Xiuyu Cai
- Department of VIP Inpatient, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, People's Republic of China
| | - Anwen Liu
- Department of Oncology, Second Affiliated Hospital of Nanchang University, Nanchang Jiangxi, People's Republic of China
| | - Wen Li
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou Zhejiang, People's Republic of China
| | - Ping Zhan
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Hongbing Liu
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Tangfeng Lv
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Liyun Miao
- Department of Respiratory Medicine, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Lingfeng Min
- Department of Respiratory Medicine, Clinical Medical School of Yangzhou University, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, People's Republic of China
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou Fujian, People's Republic of China
| | - Jingping Yuan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan Hubei, People's Republic of China
| | - Feng Wang
- Department of Internal Medicine, Cancer Center of PLA, Qinhuai Medical Area, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, People's Republic of China
| | - Zhansheng Jiang
- Department of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China
| | - Gen Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou Fujian, People's Republic of China
| | - Long Huang
- Department of Oncology, Second Affiliated Hospital of Nanchang University, Nanchang Jiangxi, People's Republic of China
| | - Xingxiang Pu
- Department of Medical Oncology, Lung Cancer and Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha Hunan, People's Republic of China
| | - Rongbo Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou Fujian, People's Republic of China
| | - Weifeng Liu
- Department of Orthopaedic Oncology Surgery, Beijing Ji Shui Tan Hospital, Peking University, Beijing, People's Republic of China
| | - Chuangzhou Rao
- Department of Radiotherapy and Chemotherapy, Hwamei Hospital, University of Chinese Academy of Sciences, Ningbo Zhejiang, People's Republic of China
| | - Dongqing Lv
- Department of Pulmonary Medicine, Taizhou Hospital of Wenzhou Medical University, Taizhou Zhejiang, People's Republic of China
| | - Zongyang Yu
- Department of Respiratory Medicine, the 900th Hospital of the Joint Logistics Team (the Former Fuzhou General Hospital), Fujian Medical University, Fuzhou Fujian, People's Republic of China
| | - Xiaoyan Li
- Department of Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Chuanhao Tang
- Department of Medical Oncology, Peking University International Hospital, Beijing, People's Republic of China
| | - Chengzhi Zhou
- Department of State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University (The First Affiliated Hospital of Guangzhou Medical University), Guangzhou Guangdong, People's Republic of China
| | - Junping Zhang
- Department of Thoracic Oncology, Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Taiyuan Shanxi, People's Republic of China
| | - Junli Xue
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China
| | - Hui Guo
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi, People's Republic of China
| | - Qian Chu
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei, People's Republic of China
| | - Rui Meng
- Department of Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei, People's Republic of China
| | - Jingxun Wu
- Department of Medical Oncology, the First Affiliated Hospital of Medicine, Xiamen University, Xiamen Fujian, People's Republic of China
| | - Rui Zhang
- Department of Medical Oncology, Cancer Hospital of China Medical University, Shenyang Liaoning, People's Republic of China
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu Sichuan, People's Republic of China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
| | - Yongheng Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Hong Qiu
- Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei, People's Republic of China
| | - Fan Xia
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
| | - Yuanyuan Lu
- Department of State Key Laboratory of Cancer Biology, National Clinical Research Center for Digestive Diseases and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an Shaanxi, People's Republic of China
| | - Xiaofeng Chen
- Department of Oncology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing Jiangsu, People's Republic of China
| | - Rui Ge
- Department of General Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, People's Republic of China
| | - Enyong Dai
- Department of Oncology and Hematology, China-Japan Union Hospital of Jilin University, Changchun Jilin, People's Republic of China
| | - Yu Han
- Department of Gastrointestinal Oncology, Harbin Medical University Cancer Hospital, Harbin Heilongjiang, People's Republic of China
| | - Weiwei Pan
- Department of Cell Biology, College of Medicine, Jiaxing University, Jiaxing Zhejiang, People's Republic of China
| | - Fei Pang
- Department of Medical, Shanghai OrigiMed Co., Ltd., Shanghai, People's Republic of China
| | - Qingqing He
- Department of Medical, Shanghai OrigiMed Co., Ltd., Shanghai, People's Republic of China
| | - Jintao Huang
- Department of Medical, Shanghai OrigiMed Co., Ltd., Shanghai, People's Republic of China
| | - Kai Wang
- Department of Medical, Shanghai OrigiMed Co., Ltd., Shanghai, People's Republic of China
| | - Fan Wu
- Department of Medical, Stone Pharmaceuticals (Suzhou) Co., Ltd., Shanghai, People's Republic of China
| | - Bingwei Xu
- Department of Biotherapy, Cancer Institute, First Affiliated Hospital of China Medical University, Shenyang, People's Republic of China
| | - Liping Wang
- Department of Oncology, Baotou Cancer Hospital, Baotou Inner Mongolia, People's Republic of China
| | - Youcai Zhu
- Department of Thoracic Disease Diagnosis and Treatment Center, Zhejiang Rongjun Hospital, The Third Affiliated Hospital of Jiaxing University, Jiaxing Zhejiang, People's Republic of China
| | - Li Lin
- Department of Medical Oncology, Peking University International Hospital, Beijing, People's Republic of China
| | - Yanru Xie
- Department of Oncology, Lishui Municipal Central Hospital, Lishui Zhejiang, People's Republic of China
| | - Xinqing Lin
- Department of State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University (The First Affiliated Hospital of Guangzhou Medical University), Guangzhou Guangdong, People's Republic of China
| | - Jing Cai
- Department of Oncology, Second Affiliated Hospital of Nanchang University, Nanchang Jiangxi, People's Republic of China
| | - Ling Xu
- Department of Interventional Pulmonary Diseases, Anhui Chest Hospital, Hefei Anhui, People's Republic of China
| | - Jisheng Li
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinnan Shangdong, People's Republic of China
| | - Xiaodong Jiao
- Department of Medical Oncology, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, People's Republic of China
| | - Kainan Li
- Department of Oncology, Shandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan Shandong, People's Republic of China
| | - Jia Wei
- Department of the Comprehensive Cancer Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Huijing Feng
- Department of Thoracic Oncology, Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Taiyuan Shanxi, People's Republic of China
| | - Lin Wang
- Department of Pathology, Shanxi Academy of Medical Sciences, Shanxi Bethune Hospital, Taiyuan Shanxi, People's Republic of China
| | - Yingying Du
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei Anhui, People's Republic of China
| | - Wang Yao
- Department of Interventional Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou Guangdong, People's Republic of China
| | - Xuefei Shi
- Department of Respiratory Medicine, Huzhou Hospital, Zhejiang University School of Medicine, Huzhou Zhejiang, People's Republic of China
| | - Xiaomin Niu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Dongmei Yuan
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Yanwen Yao
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Jianhui Huang
- Department of Oncology, Lishui Municipal Central Hospital, Lishui Zhejiang, People's Republic of China
| | - Yue Feng
- Department of Gynecologic Radiation Oncology, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China
| | - Yinbin Zhang
- Department of Oncology, the Second Affiliated Hospital of Medical College, Xi′an Jiaotong University, Xi'an Shaanxi, People's Republic of China
| | - Pingli Sun
- Department of Pathology, The Second Hospital of Jilin University, Changchun Jilin, People's Republic of China
| | - Hong Wang
- Senior Department of Oncology, The 5th Medical Center of PLA General Hospital, Beijing, People's Republic of China
| | - Mingxiang Ye
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Zhaofeng Wang
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Yue Hao
- Department of Chemotherapy, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China
| | - Zhen Wang
- Department of Radiation Oncology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, People's Republic of China
| | - Bin Wan
- Department of Respiratory Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing Jiangsu, People's Republic of China
| | - Donglai Lv
- Department of Clinical Oncology, The 901 Hospital of Joint Logistics Support Force of People Liberation Army, Hefei Anhui, People's Republic of China
| | - Shengjie Yang
- Department of Thoracic Surgery, Chuxiong Yi Autonomous Prefecture People's Hospital, Chuxiong, People's Republic of China
| | - Jin Kang
- Department of Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, Guangzhou Guangdong, People's Republic of China
| | - Jiatao Zhang
- Department of Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, Guangzhou Guangdong, People's Republic of China
| | - Chao Zhang
- Department of Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, Guangzhou Guangdong, People's Republic of China
| | - Juanjuan Ou
- Department of Oncology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China
| | - Lin Shi
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Yina Wang
- Department of Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou Zhejiang, People's Republic of China
| | - Bihui Li
- Department of Oncology, The Second Affiliated Hospital of Guilin Medical University, Guilin Guangxi, People's Republic of China
| | - Zhang Zhang
- Department of International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), Guangzhou City Key Laboratory of Precision Chemical Drug Development, School of Pharmacy, Jinan University, Guangzhou, Guangdong, People's Republic of China
| | - Zhongwu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Zhefeng Liu
- Senior Department of Oncology, The 5th Medical Center of PLA General Hospital, Beijing, People's Republic of China
| | - Nong Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha Hunan, People's Republic of China
| | - Lin Wu
- Department of Medical Oncology, Lung Cancer and Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha Hunan, People's Republic of China
| | - Huijuan Wang
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou Henan, People's Republic of China
| | - Gu Jin
- Department of Bone and Soft-tissue Surgery, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou Zhejiang, People's Republic of China
| | - Guansong Wang
- Institute of Respiratory Diseases, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China
| | - Jiandong Wang
- Department of Pathology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, People's Republic of China
| | - Meiyu Fang
- Department of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing Jiangsu, People's Republic of China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou Zhejiang, People's Republic of China
| | - Yuan Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
| | - Xiaojia Wang
- Department of Chemotherapy, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China
| | - Yiping Zhang
- Department of Chemotherapy, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China
| | - Xixu Zhu
- Department of Radiation Oncology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, People's Republic of China
| | - Yi Shen
- Department of Thoracic Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Shenglin Ma
- Department of Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou Cancer Hospital, Cancer Center, Zhejiang University School of Medicine, Hangzhou Zhejiang, People's Republic of China
| | - Biyun Wang
- Department of Breast Cancer and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Lu Si
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yong Song
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing Jiangsu, People's Republic of China
| | - Yuanzhi Lu
- Department of Clinical Pathology, the First Affiliated Hospital of Jinan University, Guangzhou Guangdong, People's Republic of China
| | - Jing Chen
- Department of Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei, People's Republic of China
| | - Zhengbo Song
- Department of Chemotherapy, Chinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, People's Republic of China
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Huang J, Zhang XH, Cai Y, Yang D, Shi J, Xing P, Xu T, Wu L, Su W, Xu R, Wei T, Chen HJ, Yang JJ. Rationale and Design of a Phase II Trial of Combined Serplulimab and Chemotherapy in Patients with Histologically Transformed Small Cell Lung Cancer: a Prospective, Single-arm and Multicentre Study. Clin Oncol (R Coll Radiol) 2024; 36:39-45. [PMID: 37977903 DOI: 10.1016/j.clon.2023.11.030] [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: 10/10/2023] [Accepted: 11/07/2023] [Indexed: 11/19/2023]
Abstract
AIMS Transformed small cell lung cancer (T-SCLC) is a highly aggressive clinical disease with a notably poor prognosis. It most often arises from epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) following treatment. To date, no standard treatment has been established for T-SCLC. Platinum-etoposide was the most commonly used regimen, but progression-free survival remains unsatisfactory. Therefore, there is an urgent unmet need to develop novel and effective strategies for this population. Our study, a multicentre, open-label, single-arm phase II clinical trial (NCT05957510), aims to evaluate the efficacy and safety of serplulimab plus chemotherapy in untreated T-SCLC patients after histological transformation. MATERIALS AND METHODS In total, 36 eligible participants experiencing SCLC transformation from EGFR-mutant NSCLC will be enrolled to receive combination therapy of serplulimab, etoposide and carboplatin for four to six cycles, followed by maintenance therapy with serplulimab for up to 2 years. The primary endpoint is progression-free survival; secondary endpoints include objective response rate, overall survival and safety. RESULTS Enrolment started in July 2023 and is ongoing, with an estimated completion date of December 2025. CONCLUSIONS This study aims to provide valuable insights into the efficacy and safety of combining serplulimab with chemotherapy for treating patients with T-SCLC originating from EGFR-mutant NSCLC.
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Affiliation(s)
- J Huang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - X-H Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Y Cai
- Medical Oncology Department V, Guangdong Nongken Central Hospital, Zhanjiang, China
| | - D Yang
- The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - J Shi
- The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - P Xing
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - T Xu
- The Affiliated Hospital of Qingdao University, Qingdao, China
| | - L Wu
- The First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - W Su
- Department of Pulmonary Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - R Xu
- Department of Oncology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - T Wei
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - H-J Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - J-J Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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McDaniel CC, Lo-Ciganic WH, Huang J, Chou C. A machine learning model to predict therapeutic inertia in type 2 diabetes using electronic health record data. J Endocrinol Invest 2023:10.1007/s40618-023-02259-1. [PMID: 38160431 DOI: 10.1007/s40618-023-02259-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/24/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE To estimate the therapeutic inertia prevalence for patients with type 2 diabetes, develop and validate a machine learning model predicting therapeutic inertia, and determine the added predictive value of area-level social determinants of health (SDOH). METHODS This prognostic study with a retrospective cohort design used OneFlorida data (linked electronic health records (EHRs) from 1240 practices/clinics in Florida). The study cohort included adults (aged ≥ 18) with type 2 diabetes, HbA1C ≥ 7% (53 mmol/mol), ≥one ambulatory visit, and ≥one antihyperglycemic medication prescribed (excluded patients prescribed insulin before HbA1C). The outcome was therapeutic inertia, defined as absence of treatment intensification within six months after HbA1C ≥ 7% (53 mmol/mol). The predictors were patient, provider, and healthcare system factors. Machine learning methods included gradient boosting machines (GBM), random forests (RF), elastic net (EN), and least absolute shrinkage and selection operator (LASSO). The DeLong test compared the discriminative ability (represented by C-statistics) between models. RESULTS The cohort included 31,087 patients with type 2 diabetes (mean age = 58.89 (SD = 13.27) years, 50.50% male, 58.89% White). The therapeutic inertia prevalence was 39.80% among the 68,445 records. GBM outperformed (C-statistic from testing sample = 0.84, 95% CI = 0.83-0.84) RF (C-statistic = 0.80, 95% CI = 0.79-0.80), EN (C-statistic = 0.80, 95% CI = 0.80-0.81), and LASSO (C-statistic = 0.80, 95% CI = 0.80-0.81), p < 0.05. Area-level SDOH significantly increased the discriminative ability versus models without SDOH (C-statistic for GBM = 0.84, 95% CI = 0.84-0.85 vs. 0.84, 95% CI = 0.83-0.84), p < 0.05. CONCLUSIONS Using EHRs of patients with type 2 diabetes from a large state, machine learning predicted therapeutic inertia (prevalence = 40%). The model's ability to predict patients at high risk of therapeutic inertia is clinically applicable to diabetes care.
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Affiliation(s)
- C C McDaniel
- Department of Health Outcomes Research and Policy, Harrison College of Pharmacy, Auburn University, 4306 Walker Building, Auburn, AL, 36849, USA.
| | - W-H Lo-Ciganic
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA
- Division of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Center for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, USA
- North Florida/South Georgia Veterans Health System, Geriatric Research Education and Clinical Center, Gainesville, FL, USA
| | - J Huang
- Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - C Chou
- Department of Health Outcomes Research and Policy, Harrison College of Pharmacy, Auburn University, 4306 Walker Building, Auburn, AL, 36849, USA
- Department of Medical Research, China Medical University Hospital, Taichung City, Taiwan
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Yang DZ, Huang J. [The new era of the assessment and management of polycystic ovary syndrome: the interpretation of 2023 International Evidence-based Guideline for the Assessment and Management of Polycystic Ovary Syndrome]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:881-887. [PMID: 38123193 DOI: 10.3760/cma.j.cn112141-20231015-00148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
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22
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Li AA, Huang J. [Research progress of myocardial work in assessment of subclinical myocardial systolic dysfunction using pressure-strain loop technique]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1295-1299. [PMID: 38123216 DOI: 10.3760/cma.j.cn112148-20230925-00187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- A A Li
- Department of Echocardiography, Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou 213000, China
| | - J Huang
- Department of Echocardiography, Affiliated Changzhou Second People's Hospital with Nanjing Medical University, Changzhou 213000, China
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Liang W, Kwan ATH, Ye H, Mofatteh M, Feng M, Wellington J, Fu P, Wei W, Sun Y, Huang J, Luo J, Chen Y, Yang S, Zhou S. Post-ASPECTS and Post-PC-ASPECTS Predict the Outcome of Anterior and Posterior Ischemic Stroke Following Thrombectomy. Risk Manag Healthc Policy 2023; 16:2757-2769. [PMID: 38130745 PMCID: PMC10733595 DOI: 10.2147/rmhp.s436661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023] Open
Abstract
Purpose In this study, we aimed to determine whether post-Alberta Stroke Project Early CT Changes Score (post-ASPECTS) in anterior stroke and post-(posterior circulation) PC-ASPECTS in posterior stroke on CT can predict post-endovascular thrombectomy (EVT) functional outcomes among patients with acute ischemic stroke (AIS) after EVT. Patients and Methods A total of 247 consecutive patients aged 18 and over receiving EVT for LVO-related AIS were recruited into a prospective database. The data was retrospectively analyzed between March 2019 and February 2022 from two comprehensive tertiary care stroke centers: Foshan Sanshui District People's Hospital and First People's Hospital of Foshan in China. Patient parameters included EVT within 24 hr of symptom onset, premorbid modified Rankin scale (mRS) ≤2, presence of distal and terminal cerebral blood vessel occlusion, and subsequent 24-72-hr post-stroke onset CT scan. Univariate comparisons were performed using the Fisher's exact test or χ2 test for categorical variables and the Mann-Whitney U-test for continuous variables. Logistic regression analysis was performed to further analyze for adjusting for confounding factors. A p-value of ≤0.05 was statistically significant. Results Overall, 236 individuals with 196 anterior circulation ischemic strokes and 40 posterior strokes of basilar artery occlusion were examined. Post-ASPECTS in anterior stroke and post-pc-ASPECTS as strong positive markers of favorable outcome at 90 days post-EVT; and lower rates of inpatient mortality/hospice discharge, 90-day mortality, and 90-day poor outcome were observed. Moreover, patients in the post-ASPECTS ≥ 7 cohort experienced shorter door-to-recanalization time (DRT), puncture-to-recanalization time (PRT), and last known normal-to-puncture time (LKNPT). Conclusion Post-ASPECTS ≥7 in anterior circulation AIS and post-pc-ASPECTS ≥7 in posterior circulation can serve as strong prognostic markers of functional outcome after EVT.
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Affiliation(s)
- Wenjun Liang
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Angela T H Kwan
- Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Huifang Ye
- Department of Pharmacy, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Mohammad Mofatteh
- School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, United Kingdom
| | - Mingzhu Feng
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Jack Wellington
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Pingzhong Fu
- Department of Radiology, Foshan Sanshui District People’s Hospital, Foshan, Guangdong Province, People’s Republic of China
| | - Wenlong Wei
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Yu Sun
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Jianhui Huang
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| | - Jie Luo
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
| | - Yimin Chen
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Shuiquan Yang
- Department of Neurology and Advanced National Stroke Center, Foshan Sanshui District People’s Hospital, Foshan, People’s Republic of China
| | - Sijie Zhou
- Department of Surgery of Cerebrovascular Diseases, First People’s Hospital of Foshan, Foshan, Guangdong Province, People’s Republic of China
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Zhou M, Yao L, Wu Y, Lin S, Huang J. [Analysis and prediction of burden of viral hepatitis C-associated diseases in China from 1990 to 2044]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:476-485. [PMID: 38148536 DOI: 10.16250/j.32.1374.2023059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To measure the burden of hepatitis C-associated diseases in China from 1990 to 2019, and to predict its changes from 2020 to 2044, so as to provide insights into formulation of the targeted hepatitis C control strategy. METHODS The total burden due to hepatitis C-associated diseases in China from 1990 to 2019 were extracted from the Global Burden of Disease 2019 (GBD 2019) data resources, and the trends in age-standardized prevalence, incidence, mortality and disability-adjusted life years (DALYs) rate of hepatitis C-associated acute hepatitis C (AHC), chronic liver diseases (CLD) and liver cancer in China from 1990 to 2019 were evaluated in China from 1990 to 2019 using estimated annual percentage change (EAPC). In addition, the changes in the burden of hepatitis C-associated diseases were predicted in China from 2020 to 2044 using a Bayesian model. RESULTS The prevalence, incidence, mortality and DALY rate of hepatitis C-associated diseases all appeared an overall tendency towards a decline in China from 1990 to 2019 (EAPC = -2.64%, -2.24%, -3.81% and -3.90%, respectively); however, there was a minor rise in the incidence and prevalence of hepatitis C-associated diseases from 2015 to 2019. The overall prevalence of hepatitis C-associated diseases reduced from 2 152.7/105 in 1990 to 1 254.1/105 in 2019 in China, with a reduction of 41.7%. The overall incidence reduced from 87.9/105 in 1990 to 55.0/105 in 2019 in China, with a reduction of 37.4%, and the highest incidence was seen for AHC, followed by CLD and liver cancer. The overall mortality and DALY rate of hepatitis C-associated diseases was 4.0/105 and 100.8/105 in China from 1990 to 2019, with CLD showing the largest contributions to the gross mortality and DALY. The mortality and DALY rate of hepatitis C-associated diseases were 5.5/105 and 142.4/105 among men in China in 2019, which were both much higher than among women (2.8/105 and 60.3/105, respectively), and the overall prevalence (1 604.9/105), mortality (30.2/105) and DALYs (437.1/105) of hepatitis C-associated diseases were all highest among patients at ages of 70 years and older, and the highest incidence was seen among patients at ages of 0 to 9 years (167.3/105). The incidence of hepatitis C-associated diseases was predicted to rise in China from 2020 to 2044; however, the DALY rate was projected to appear a tendency towards a decline. CONCLUSIONS Although the burden of hepatitis C-associated diseases showed a tendency towards a decline in China from 1990 to 2019, the burden remained high, and was predicted to slightly rise from 2020 to 2044. High attention should be paid to screening of hepatitis C among infants and treatment among adults.
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Affiliation(s)
- M Zhou
- Medical Department, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian 350005, China
| | - L Yao
- Department of Hepatology, The First Affiliated Hospital, Fujian Medical University, Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
| | - Y Wu
- Department of Hepatology, The First Affiliated Hospital, Fujian Medical University, Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
| | - S Lin
- Department of Hepatology, The First Affiliated Hospital, Fujian Medical University, Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
| | - J Huang
- Department of Hepatology, The First Affiliated Hospital, Fujian Medical University, Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
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Zou Z, Guo T, Gong G, Lin F, Sun Y, Huang J, Liao J, Wen H. Site regulation and luminescence properties of Eu 3+, Eu 2+ in (La, Mg):SrAl 12O 19 matrix. Spectrochim Acta A Mol Biomol Spectrosc 2023; 302:123053. [PMID: 37393668 DOI: 10.1016/j.saa.2023.123053] [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: 04/10/2023] [Revised: 06/16/2023] [Accepted: 06/18/2023] [Indexed: 07/04/2023]
Abstract
The partially and equivalent substitution of La + Mg → Sr + Al in SrAl12O19 lattice is an effective strategy to provide trivalent sites, reduce the site occupation splitting of Al and stabilize the entire lattice. When excited by 397 nm, the Eu3+ activated La, Mg:SrAl12O19 (ASL) phosphor shows intense linear emission through the 5D0→7F4 transition at 707 nm when compared with SrAl12O19:Eu3+. Especially, the Eu, Mg co-doped Sr1-xLaxMgxAl12-xO19 with certain amount of x = 1/3 exhibits the significant intense photoluminescence, which was demonstrated through a lattice evolutional model. Eu2+ in the host with 1/3 ratio of (La, Mg) substitution shows broad blue emission and as short fluorescence lifetime as 248 ns. The temperature-depended fluorescence quenching behavior confirms the essence of strong electric-phonon coupling originated from distorted and polarized crystal field around Eu2+/Sr2+ site. Basing on site regulation of SrAl12O19 matrix, our study provides a reference for exploration on efficient rare earth ions activated luminescent laser or scintillation materials.
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Affiliation(s)
- Zhenggang Zou
- Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, China; National Rare Earth Functional Material Innovation Center, Ganzhou 341100, China
| | - Tingting Guo
- Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Guoliang Gong
- Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, China; National Rare Earth Functional Material Innovation Center, Ganzhou 341100, China; College of Rare Earths, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Fulin Lin
- Xiamen Institute of Rare Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen 361021, China
| | - Yijian Sun
- Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, China; National Rare Earth Functional Material Innovation Center, Ganzhou 341100, China; College of Rare Earths, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Jianhui Huang
- National Rare Earth Functional Material Innovation Center, Ganzhou 341100, China; College of Rare Earths, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Jinsheng Liao
- Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, China
| | - Herui Wen
- Faculty of Materials Metallurgy and Chemistry, Jiangxi University of Science and Technology, Ganzhou 341000, China; National Rare Earth Functional Material Innovation Center, Ganzhou 341100, China
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Niu G, Wang R, Zhou H, Yang J, Lu X, Han X, Huang J. Nitrogen addition and mowing had only weak interactive effects on macronutrients in plant-soil systems of a typical steppe in Inner Mongolia. J Environ Manage 2023; 347:119121. [PMID: 37778064 DOI: 10.1016/j.jenvman.2023.119121] [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] [Received: 06/19/2023] [Revised: 08/08/2023] [Accepted: 09/01/2023] [Indexed: 10/03/2023]
Abstract
Effective management of macronutrients is pivotal in the optimization and provisioning of ecosystem services in grassland areas, particularly in degraded grasslands. In such instances where mowing and nitrogen (N) fertilization have emerged as predominant management strategies, nutrient management is especially important. However, the precise effects of these concurrent practices on the distribution of macronutrients in plant-soil systems remain unclear. Here we evaluated the effects of 12 years of N addition (2, 10, and 50 g N m-2 year-1) and mowing on the concentrations and pools of six macronutrients (i.e., N; phosphorus P; sulfur S, calcium Ca, magnesium Mg, and potassium K) in three plant components (aboveground plants, litter, and belowground roots) at the community level and in the soil in a typical steppe in Inner Mongolia. Our results revealed that N addition generally raised the N concentration in the entire plant-soil system, regardless of whether plots were mowed. Higher N addition (10 and 50 g N m-2 year-1) also led to higher concentrations of P (+22%, averaging two N addition rates), S (+16%), K (+22%), Ca (+22%), and Mg (+24%) in plants but lower concentrations of these nutrients in the litter. Similar decreases in K (-9%), Ca (-46%), and Mg (-8%) were observed in the roots. In light of the observed increases in vegetation biomass and the lack of pronounced changes in soil bulk density, we found that the ecosystem N enrichment resulted in increased pools of all measured macronutrients in plants, litter, and roots (with the exception of Ca in the roots) while concurrently decreased the pools of P (-20%, averaging two higher N addition rates), S (-12%), K (-10%), Ca (-37%), and Mg (-19%) in the soil, with no obvious effect of the mowing practice. Overall, mowing exhibited a very limited capacity to alleviate the effects of long-term N addition on macronutrients in the plant-soil system. These findings highlight the importance of considering the distribution of macronutrients across distinct plant organs and the dynamic nutrient interplay between plants and soil, particularly in the context of long-term fertilization and mowing practices, when formulating effective grassland management strategies.
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Affiliation(s)
- Guoxiang Niu
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, 100093, China; Section of Microbial Ecology, Department of Biology, Lund University, Ecology Building, Lund, Sweden; South China National Botanical Garden, Guangzhou, 510650, China.
| | - Ruzhen Wang
- School of Life Sciences, Hebei University, Baoding, 071002, China
| | - Hao Zhou
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, SE22362, Sweden
| | - Junjie Yang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, 100093, China.
| | - Xiankai Lu
- Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China
| | - Xingguo Han
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, 100093, China
| | - Jianhui Huang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, 100093, China.
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Xiang J, Liu X, Hao Y, Zhu Y, Wu M, Lou J, Wang Y, Xu C, Xie Y, Huang J. Clinical characteristics and treatment efficacy of immune checkpoint inhibitors (ICIs) in patients with ICIs-induced Adrenal insufficiency. Transl Oncol 2023; 38:101787. [PMID: 37729740 PMCID: PMC10518362 DOI: 10.1016/j.tranon.2023.101787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Adrenal insufficiency (AI) caused by immune checkpoint inhibitors (ICIs) is an extremely rare immune-related adverse event (irAE). The detailed clinical characteristics and outcomes of patients with ICI-induced AI are unavailable. This study aimed to explore the clinical characteristics and efficacy of treatment in patients with ICI-induced AI. METHODS We retrospectively collected information on patients diagnosed with AI caused by ICIs at LiShui Municipal Central Hospital and Zhejiang Cancer Hospital, including baseline characteristics, laboratory results, symptoms, treatment outcomes of AI, and hormone use. Survival outcomes were calculated using the Kaplan-Meier method and stratified according to the different situations. RESULTS From December 2020 to February 2023, among 1014 patients treated with ICI therapy, a total of twenty patients were diagnosed with ICI-induced AI. Most of the patients were men (80%, n = 16), with a performance status (PS) of 0 - 1 (95%, n = 19). The median (range) age was 65.9 (49-80) years and 14 patients (70%) were treated with ICIs as first-line therapy. The majority of the patients (70%, n = 14) experienced grade 3 - 4 AI. All patients received corticosteroid replacement therapy, and only 7 patients recovered. The median time to the diagnosis of AI after starting ICI therapy was 5.2 (3.0 - 7.5) months. The objective response rate was 70% and median progression-free survival in these patients was 16.0 months (95% confidence interval: 11.7 - 20.3 months). CONCLUSIONS ICI-induced AI is a rare irAE, and close monitoring of cortisol levels is important. Patients diagnosed with AI after receiving immunotherapy seem to have a favorable outcome.
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Affiliation(s)
- Jing Xiang
- Department of Clinical Trial, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China; The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
| | - Xueni Liu
- Department of Medical Oncology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - Yue Hao
- Department of Clinical Trial, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China; The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
| | - Yanyan Zhu
- Department of Pharmacy, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - Minhua Wu
- Department of Medical Oncology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - Jian Lou
- Department of Medical Oncology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - Yonghui Wang
- Department of Medical Oncology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - Chunwei Xu
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China; Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310018, China
| | - Yanru Xie
- Department of Medical Oncology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China; The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang 323000, China.
| | - Jianhui Huang
- Department of Medical Oncology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China; The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang 323000, China.
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Su H, Liao Y, Yuan X, Huang J, Chen Y, Zhao B. G/ β- TCP composite scaffold material promotes osteogenic differentiation of bone marrow mesenchymal stem cells. J Biomed Mater Res B Appl Biomater 2023; 111:2025-2031. [PMID: 37530537 DOI: 10.1002/jbm.b.35302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 06/10/2023] [Accepted: 07/05/2023] [Indexed: 08/03/2023]
Abstract
To explore self-made graphene/β Graphene (G)/β- tricalcium phosphate, G/β- The effect of TCP composite scaffold material on osteogenic differentiation of BMSC. Preparation of G/β- TCP composite material was used to investigate the effect of composite material on bone marrow mesenchymal stem cell ossification/β- TCP material was used to treat primary BMSCs of rats. Cell morphology changes were observed under scanning electron microscopy, cell cycle and proliferation were detected by flow cytometry, and gene expression of chondrogenic genes Fibronectin, collagen I, collagen II, ICAM, and VCAM was detected by q-PCR. In addition, using osteogenic induction medium and G/β- TCP composite materials were co treated with BMSCs, and ALP and alizarin red staining were used to observe the effect of the materials on osteogenic differentiation. q-PCR was used to detect the gene expression of osteogenic related genes Runx2, OCN, and OPN. G/ β- After the TCP composite was co cultured with BMSC, the proportion of G0/G1 phase of BMSC cells was significantly increased, the cell proliferation ability was enhanced, and the gene expression of fibronectin, collagen I, collagen II, ICAM, and VCAM were significantly increased. The ALP staining results indicate that BMSC in G/β- After treatment with TCP composite material, significant enhancement of osteogenic ability was observed at 7,14 and 21 days. In addition, BMSC in G/β- A significant increase in calcium deposition was observed at 7,14 and 21 days after treatment with TCP composite materials. The effect of different time points on the expression of osteogenic related genes varies. At 7 and 14 days, the expression of RUNX2 was significantly reduced compared to the control, but significantly increased at 21 days; OCN significantly increased on the 21st day; OPN significantly increased at 14 days. G/β- TCP materials significantly promote the osteogenic differentiation of BMSCs.
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Affiliation(s)
- Hairong Su
- Department of Traditional Chinese Medicine, Maoming People's Hospital, Maoming, Guandong, China
| | - Yong Liao
- Department of Pharmacy, Maoming People's Hospital, Maoming, Guandong, China
| | - Xiaolu Yuan
- Department of Pathology, Maoming People's Hospital, Maoming, Guandong, China
| | - Jianhui Huang
- Department of Spine Surgery, Maoming People's Hospital, Maoming, Guandong, China
| | - Ya Chen
- Department of Spine Surgery, Maoming People's Hospital, Maoming, Guandong, China
| | - Binxiu Zhao
- Department of Spine Surgery, Maoming People's Hospital, Maoming, Guandong, China
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Yao L, Lin S, Huang J, Wu Y. [Burden of hepatitis B-associated diseases in China from 1990 to 2030]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:464-475. [PMID: 38148535 DOI: 10.16250/j.32.1374.2023068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To measure the burden of hepatitis B-associated diseases in China from 1990 to 2019, and to predict its changes from 2020 to 2030. METHODS The age-standardized prevalence, incidence, mortality and disability-adjusted life years (DALY) rate of hepatitis B-associated diseases in China from 1990 to 2019 were extracted from the Global Burden of Disease 2019 (GBD 2019) data resources, and the trends in burdens of hepatitis B-associated diseases were evaluated from 1990 to 2019 using estimated annual percentage change (EAPC) and annual percent change (APC). In addition, the changes in the burden of hepatitis B-associated diseases were predicted in China from 2020 to 2023 using the Bayesian model. RESULTS The overall incidence of hepatitis B-associated diseases reduced from 2 725.98/105 in 1990 to 1 397.31/105 in 2019 in China [estimated annual percentage change (EAPC) = -2.35%, 95% confidential interval (CI): (-2.58%, -2.13%)], with a reduction in the prevalence from 12 239.53/105 in 1990 to 6 566.12/105 in 2019 [EAPC = -2.34%, 95% CI: (-2.54%, -2.14%)], a reduction in the mortality from 24.67/105 in 1990 to 8.07/105 in 2019 [EAPC = -4.92%, 95% CI: (-5.37%, -4.47%)], and a reduction in the DALY rate from 793.38/105 in 1990 to 247.71/105 in 2019 [(EAPC = -5.15%, 95% CI: (-5.64%, -4.66%)]. The DALY rate of hepatitis B-associated diseases were mainly attributed to liver cancer, and the DALY rate of hepatitis B-associated diseases appeared a tendency towards a rise in China from 2012 to 2019 [APC = 1.30%, 95% CI: (0.16%, 2.45%)]. The overall burden of hepatitis Bassociated diseases was higher in males than in females, and the DALY rate of hepatitis B-associated diseases increased with age, with the greatest DALY rate seen among patients at ages of 50 to 69 years. The overall incidence of hepatitis B-associated diseases was projected to be 866.79/105 in China in 2030, with the greatest incidence seen in acute hepatitis B (854.87/105), and the burden of hepatitis B-associated diseases was predicted to decline in China from 2020 to 2030; however, the burden of liver disease was projected to appear a tendency towards a rise. CONCLUSIONS The burden of hepatitis B-associated diseases appears an overall tendency towards a decline in China from 1990 to 2030; however, the burden of liver cancer appears a tendency towards aggravation. Early diagnosis and treatment of liver cancer should be given a high priority.
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Affiliation(s)
- L Yao
- Department of Hepatology, the First Affiliated Hospital of Fujian Medical University; Hepatology Research Institute, Fujian Medical University; Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
| | - S Lin
- Department of Hepatology, the First Affiliated Hospital of Fujian Medical University; Hepatology Research Institute, Fujian Medical University; Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
| | - J Huang
- Department of Hepatology, the First Affiliated Hospital of Fujian Medical University; Hepatology Research Institute, Fujian Medical University; Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
| | - Y Wu
- Department of Hepatology, the First Affiliated Hospital of Fujian Medical University; Hepatology Research Institute, Fujian Medical University; Fujian Clinical Research Center for Hepatopathy and Intestinal Diseases, Fuzhou, Fujian 350005, China
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Zhou Y, Tang L, Tong Y, Huang J, Wang J, Zhang Y, Jiang H, Xu N, Gong Y, Yin J, Jiang Q, Zhou J, Zhou Y. [Spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti- Schistosoma antibody in Hunan Province in 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:444-450. [PMID: 38148532 DOI: 10.16250/j.32.1374.2023103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To investigate the spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody, and to examine the correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, so as to provide insights into advanced schistosomiais control in the province. METHODS The epidemiological data of schistosomiasis in Hunan Province in 2020 were collected, including number of permanent residents in survey villages, number of advanced schistosomiasis patients, number of residents receiving serological tests and number of residents seropositive for anti-Schistosoma antibody, and the prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were descriptively analyzed. Village-based spatial distribution characteristics of prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were identified in Hunan Province in 2020, and the correlation between the revalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody was examined using Spearman correlation analysis. RESULTS The prevalence of advanced schistosomiasis was 0 to 2.72% and the seroprevalence of anti-Schistosoma antibody was 0 to 20.25% in 1 153 schistosomiasis-endemic villages in Hunan Province in 2020. Spatial clusters were identified in both the prevalence of advanced schistosomiasis (global Moran's I = 0.416, P < 0.01) and the seroprevalence of anti-Schistosoma antibody (global Moran's I = 0.711, P < 0.01) in Hunan Province. Local spatial autocorrelation analysis identified 98 schistosomiasis-endemic villages with high-high clusters of the prevalence of advanced schistosomiasis, 134 endemic villages with high-high clusters of the seroprevalence of anti-Schistosoma antibody and 36 endemic villages with high-high clusters of both the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province. In addition, spearman correlation analysis showed a positive correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody (rs = 0.235, P < 0.05). CONCLUSIONS There were spatial clusters of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, which were predominantly located in areas neighboring the Dongting Lake. These clusters should be given a high priority in the schistosomiasis control programs.
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Affiliation(s)
- Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - L Tang
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Tong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Huang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - H Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - N Xu
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Gong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Zhou
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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Yuan H, Fang CL, Deng YP, Huang J, Niu RZ, Chen JL, Chen TB, Zhu ZQ, Chen L, Xiong LL, Wang TH. Corrigendum to "A2B5-positive oligodendrocyte precursor cell transplantation improves neurological deficits in rats following spinal cord contusion associated with changes in expression of factors involved in the Notch signaling pathway" [Neurochirurgie 68 (2) (2022) 188-95]. Neurochirurgie 2023; 70:101481. [PMID: 37925774 DOI: 10.1016/j.neuchi.2023.101481] [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: 11/07/2023]
Affiliation(s)
- H Yuan
- Institute of Neuroscience, Kunming Medical University, Kunming 650031, Yunnan, China; Department of Spine Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, Guizhou, China
| | - C-L Fang
- Institute of Neurological Disease, Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China; Department of Anesthesiology, National Traditional Chinese Medicine Clinical Research Base and Western Medicine Translational Medicine Research Center, Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou 646000, Sichuan, China
| | - Y-P Deng
- Department of Anesthesiology, National Traditional Chinese Medicine Clinical Research Base and Western Medicine Translational Medicine Research Center, Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou 646000, Sichuan, China
| | - J Huang
- Institute of Neuroscience, Kunming Medical University, Kunming 650031, Yunnan, China
| | - R-Z Niu
- Laboratory Animal Department, Kunming Medical University, Kunming 650031, Yunnan, China
| | - J-L Chen
- Laboratory Animal Department, Kunming Medical University, Kunming 650031, Yunnan, China
| | - T-B Chen
- Laboratory Animal Department, Kunming Medical University, Kunming 650031, Yunnan, China
| | - Z-Q Zhu
- Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, Guizhou, China
| | - L Chen
- Institute of Neurological Disease, Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - L-L Xiong
- Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, Guizhou, China
| | - T-H Wang
- Institute of Neuroscience, Kunming Medical University, Kunming 650031, Yunnan, China; Laboratory Animal Department, Kunming Medical University, Kunming 650031, Yunnan, China; Institute of Neurological Disease, Translational Neuroscience Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
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Chin-Hon J, Davenport L, Huang J, Akerman M, Hindenburg A. Safety and efficacy of oral anticoagulants in extreme weights. Thromb Res 2023; 231:1-6. [PMID: 37738772 DOI: 10.1016/j.thromres.2023.09.001] [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: 04/16/2023] [Revised: 08/29/2023] [Accepted: 09/04/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND The 2021 International Society on Thrombosis and Haemostasis' (ISTH) recommends standard doses of apixaban and rivaroxaban regardless of high body mass index (BMI) and weight, but had not compare DOACs head-to-head in obesity or address underweight patients. METHODS Our aim is to evaluate the safety and efficacy of DOACs in underweight and obese patients compared to warfarin. The primary endpoints include incidence of thromboembolic and bleeding events. Descriptive statistics was used for continuous variables. The Kruskal-Wallis test was used to compare the four-groups for continuous measures and the chi-square test or Fisher's exact test was used to analyze categorical data. The chi-square test or Fisher's exact test, was used for categorical variables, and the Mann-Whitney test (the non-parametric counterpart to the two-sample t-test) for continuous data. RESULTS Of 2940 patients receiving anticoagulation for venous thromboembolism (VTE) treatment or atrial fibrillation (AF), 492 met eligibility criteria. Within each group, 248 patients received warfarin, 101 received apixaban, 100 received rivaroxaban and 43 received dabigatran. Patients were characterized in 4 body mass index (BMI) categories, in which 80 were underweight and 412 were obese. CONCLUSIONS When each DOAC was compared to warfarin in rates of VTE, apixaban showed statistically significant lower rate of VTE (p = 0.0149). However, no statistical significance was identified in the rate of VTE between DOACs combined vs. warfarin (p = 0.1529). When each DOAC was compared to warfarin, apixaban showed the lowest rate of overall bleeding (p = 0.0194). However, no statistical difference in the rate of bleeding was observed between DOACs combined vs. warfarin (p = 0.3284). Patients with extreme body weights requiring anticoagulation for VTE and AF may safety benefit from DOAC therapy. This evaluation showed apixaban with the lowest rate of VTE and bleeding compared to warfarin, rivaroxaban, and dabigatran. These results provide experience for the clinician to use DOACs, particularly apixaban, in underweight and obese populations.
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Affiliation(s)
- J Chin-Hon
- NYU Langone Hospital - Long Island, Department of Pharmacy, United States of America; NYU Long Island School of Medicine, United States of America.
| | - L Davenport
- NYU Langone Hospital - Long Island, Department of Pharmacy, United States of America
| | - J Huang
- Perlmutter Cancer Center at NYU Langone Hematology Oncology Associates - Mineola, United States of America
| | - M Akerman
- NYU Long Island School of Medicine, United States of America
| | - A Hindenburg
- NYU Long Island School of Medicine, United States of America; Perlmutter Cancer Center at NYU Langone Hematology Oncology Associates - Mineola, United States of America
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Lu S, Xie W, Zhang Y, Sun F, Huang J, Wang J, Zhu J, Zhen Z, Zhang Y. Off-target resistance to larotrectinib in two patients with NTRK fusion-positive pediatric solid tumors. Ann Oncol 2023; 34:1065-1067. [PMID: 37666486 DOI: 10.1016/j.annonc.2023.08.015] [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] [Received: 03/24/2023] [Revised: 08/13/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023] Open
Affiliation(s)
- S 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 Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - W Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Y Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - F Sun
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J 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 Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J Zhu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Z Zhen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Y Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Pediatric Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
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Shao L, Peng Y, Liu H, Zhao R, Jiang L, Li Y, Han P, Jiang Y, Wei C, Han X, Huang J. Applied phosphorus is maintained in labile and moderately occluded fractions in a typical meadow steppe with the addition of multiple nutrients. J Environ Manage 2023; 345:118807. [PMID: 37591093 DOI: 10.1016/j.jenvman.2023.118807] [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] [Received: 04/15/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 08/19/2023]
Abstract
Phosphorus (P) is a limiting nutrient second only to nitrogen (N) in the drylands of the world. Most previous studies have focused on N transformation processes in grassland ecosystems, particularly under artificial fertilization with N and atmospheric N deposition. However, P cycling processes under natural conditions and when P is applied as an inorganic P fertilizer have been understudied. Therefore, it is essential to examine the fate of applied P in grassland ecosystems that have experienced long-term grazing and, under certain circumstances, continuous hay harvest. We conducted a 3-year field experiment with the addition of multiple nutrient elements in a typical meadow steppe to investigate the fate of the applied P in various fractions of P pools in the top soil. We found that the addition of multiple nutrients significantly increased P concentrations in the labile inorganic P (Lab-Pi) and moderately occluded inorganic P (Mod-Pi) fractions but not in the recalcitrant inorganic P (Rec-Pi) fraction. An increase in the concentration of total inorganic P was found only when P and N were applied together. However, the addition of other nutrients did not change P concentrations in any fraction of the mineral soil. The addition of P and N significantly increased the total amount of P taken up by the aboveground plants but had no effect on the levels of organic and microbial P in the soil. Together, our results indicate that the P applied in this grassland ecosystem is taken up by plants, leaving most of the unutilized P as Lab-Pi and Mod-Pi rather than being immobilized in Rec-Pi or by microbial biomass. This implies that the grassland ecosystem that we studied has a relatively low P adsorption capacity, and the application of inorganic P to replenish soil P deficiency in degraded grasslands due to long-term grazing of livestock or continuous harvest of forage in the region could be a practical management strategy to maintain soil P fertility.
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Affiliation(s)
- Lingyu Shao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Erguna Forest-Steppe Ecotone Ecosystem Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Yang Peng
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Heyong Liu
- School of Life Sciences, Hebei University, Baoding, 071002, China
| | - Ruonan Zhao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liangchao Jiang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Li
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Peng Han
- Erguna Forest-Steppe Ecotone Ecosystem Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
| | - Yong Jiang
- School of Life Sciences, Hebei University, Baoding, 071002, China
| | - Cunzheng Wei
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xingguo Han
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jianhui Huang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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Pu X, Xu C, Wang Q, Wang W, Wu F, Cai X, Song Z, Yu J, Zhong W, Wang Z, Zhang Y, Liu J, Zhang S, Liu A, Li W, Zhan P, Liu H, Lv T, Miao L, Min L, Lin G, Huang L, Yuan J, Jiang Z, Rao C, Lv D, Yu Z, Li X, Tang C, Zhou C, Zhang J, Guo H, Chu Q, Meng R, Liu X, Wu J, Zhou J, Zhu Z, Pan W, Pang F, Huang J, Wang K, Wu F, Shen T, Zou S, Xu B, Wang L, Zhu Y, Lin X, Cai J, Xu L, Li J, Jiao X, Li K, Feng H, Wang L, Du Y, Yao W, Shi X, Niu X, Yuan D, Yao Y, Kang J, Zhang J, Zhang C, Fu J, Huang J, Zhang Y, Sun P, Wang H, Ye M, Wang D, Wang Z, Hao Y, Wang Z, Wan B, Lv D, Lan G, Yang S, Shi L, Wang Y, Li B, Zhang Z, Li Z, Li Y, Liu Z, Yang N, Wang H, Huang W, Hong Z, Wang G, Wang J, Fang M, Fang Y, Zhu X, Shen Y, Zhang Y, Ma S, Song Y, Lu Y, Fang W, Li Z, Wu L. Expert consensus on the diagnosis and treatment of RET gene fusion non-small cell lung cancer in China. Thorac Cancer 2023; 14:3166-3177. [PMID: 37718634 PMCID: PMC10626248 DOI: 10.1111/1759-7714.15105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/19/2023] Open
Abstract
The rearranged during transfection (RET) gene is one of the receptor tyrosine kinases and cell-surface molecules responsible for transmitting signals that regulate cell growth and differentiation. In non-small cell lung cancer (NSCLC), RET fusion is a rare driver gene alteration associated with a poor prognosis. Fortunately, two selective RET inhibitors (sRETi), namely pralsetinib and selpercatinib, have been approved for treating RET fusion NSCLC due to their remarkable efficacy and safety profiles. These inhibitors have shown the ability to overcome resistance to multikinase inhibitors (MKIs). Furthermore, ongoing clinical trials are investigating several second-generation sRETis that are specifically designed to target solvent front mutations, which pose a challenge for first-generation sRETis. The effective screening of patients is the first crucial step in the clinical application of RET-targeted therapy. Currently, four methods are widely used for detecting gene rearrangements: next-generation sequencing (NGS), reverse transcription-polymerase chain reaction (RT-PCR), fluorescence in situ hybridization (FISH), and immunohistochemistry (IHC). Each of these methods has its advantages and limitations. To streamline the clinical workflow and improve diagnostic and treatment strategies for RET fusion NSCLC, our expert group has reached a consensus. Our objective is to maximize the clinical benefit for patients and promote standardized approaches to RET fusion screening and therapy.
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Affiliation(s)
- Xingxiang Pu
- The Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South UniversityCentral South UniversityChangshaPeople's Republic of China
| | - Chunwei Xu
- Institute of Cancer and Basic Medicine (ICBM)Chinese Academy of SciencesHangzhouPeople's Republic of China
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Qian Wang
- Department of Respiratory MedicineAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese MedicineNanjingPeople's Republic of China
| | - Wenxian Wang
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Fang Wu
- Department of Oncology, The Second Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Xiuyu Cai
- Department of VIP Inpatient, Sun Yat‐Sen University Cancer Center, State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Zhengbo Song
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Jinpu Yu
- Department of Cancer Molecular Diagnostics CoreTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Yongchang Zhang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaPeople's Republic of China
| | - Jingjing Liu
- Department of Thoracic CancerJilin Cancer HospitalJilinPeople's Republic of China
| | - Shirong Zhang
- Translational Medicine Research Center, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer CenterZhejiang University School of MedicineHangzhouPeople's Republic of China
| | - Anwen Liu
- Department of OncologySecond Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Wen Li
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Cancer CenterZhejiang UniversityHangzhouPeople's Republic of China
| | - Ping Zhan
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Hongbing Liu
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Tangfeng Lv
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Liyun Miao
- Department of Respiratory Medicine, Affiliated Drum Tower HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Lingfeng Min
- Department of Respiratory MedicineClinical Medical School of Yangzhou University, Subei People's Hospital of Jiangsu ProvinceYangzhouPeople's Republic of China
| | - Gen Lin
- Department of Medical OncologyFujian Medical University Cancer Hospital & Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Long Huang
- Department of OncologySecond Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Jingping Yuan
- Department of PathologyRenmin Hospital of Wuhan UniversityWuhanPeople's Republic of China
| | - Zhansheng Jiang
- Department of Integrative OncologyTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Chuangzhou Rao
- Department of Radiotherapy and Chemotherapy, Hwamei HospitalUniversity of Chinese Academy of SciencesNingboPeople's Republic of China
| | - Dongqing Lv
- Department of Pulmonary MedicineTaizhou Hospital of Wenzhou Medical UniversityTaizhouPeople's Republic of China
| | - Zongyang Yu
- Department of Respiratory Medicine, the 900th Hospital of the Joint Logistics Team (the Former Fuzhou General Hospital)Fujian Medical UniversityFuzhouPeople's Republic of China
| | - Xiaoyan Li
- Department of Oncology, Beijing Tiantan HospitalCapital Medical UniversityBeijingPeople's Republic of China
| | - Chuanhao Tang
- Department of Medical OncologyPeking University International HospitalBeijingPeople's Republic of China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory HealthThe First Affiliated Hospital of Guangzhou Medical University (The First Affiliated Hospital of Guangzhou Medical University)GuangzhouPeople's Republic of China
| | - Junping Zhang
- Department of Thoracic Oncology, Shanxi Academy of Medical SciencesShanxi Bethune HospitalTaiyuanPeople's Republic of China
| | - Hui Guo
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anPeople's Republic of China
| | - Qian Chu
- Department of Oncology, Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Rui Meng
- Cancer Center, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Xuewen Liu
- Department of Oncology, the Third Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Jingxun Wu
- Department of Medical Oncology, the First Affiliated Hospital of MedicineXiamen UniversityXiamenPeople's Republic of China
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of MedicineUniversity of Electronic Science and TechnologyChengduPeople's Republic of China
| | - Zhengfei Zhu
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiPeople's Republic of China
| | - Weiwei Pan
- Department of Cell Biology, College of MedicineJiaxing UniversityJiaxingPeople's Republic of China
| | - Fei Pang
- Department of MedicalShanghai OrigiMed Co, LtdShanghaiPeople's Republic of China
| | - Jintao Huang
- Department of MedicalShanghai OrigiMed Co, LtdShanghaiPeople's Republic of China
| | - Kai Wang
- Department of MedicalShanghai OrigiMed Co, LtdShanghaiPeople's Republic of China
| | - Fan Wu
- Department of MedicalMenarini Silicon Biosystems SpaShanghaiPeople's Republic of China
| | - Tingting Shen
- Department of MedicalStone Pharmaceuticals (Suzhou) Co., Ltd.ShanghaiPeople's Republic of China
| | - Shirui Zou
- Department of MedicalStone Pharmaceuticals (Suzhou) Co., Ltd.ShanghaiPeople's Republic of China
| | - Bingwei Xu
- Department of Biotherapy, Cancer InstituteFirst Affiliated Hospital of China Medical UniversityShenyangPeople's Republic of China
| | - Liping Wang
- Department of OncologyBaotou Cancer HospitalBaotouPeople's Republic of China
| | - Youcai Zhu
- Department of Thoracic Disease Diagnosis and Treatment Center, Zhejiang Rongjun HospitalThe Third Affiliated Hospital of Jiaxing UniversityJiaxingPeople's Republic of China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease; Guangzhou Institute of Respiratory HealthThe First Affiliated Hospital of Guangzhou Medical University (The First Affiliated Hospital of Guangzhou Medical University)GuangzhouPeople's Republic of China
| | - Jing Cai
- Department of OncologySecond Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Ling Xu
- Department of Interventional Pulmonary DiseasesAnhui Chest HospitalHefeiPeople's Republic of China
| | - Jisheng Li
- Department of Medical Oncology, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinnanPeople's Republic of China
| | - Xiaodong Jiao
- Department of Medical Oncology, Shanghai Changzheng HospitalNaval Medical UniversityShanghaiPeople's Republic of China
| | - Kainan Li
- Department of Oncology, Shandong Provincial Third Hospital, Cheeloo College of MedicineShandong UniversityJinanPeople's Republic of China
| | - Huijing Feng
- Department of Thoracic Oncology, Shanxi Academy of Medical SciencesShanxi Bethune HospitalTaiyuanPeople's Republic of China
| | - Lin Wang
- Department of Pathology, Shanxi Academy of Medical SciencesShanxi Bethune HospitalTaiyuanPeople's Republic of China
| | - Yingying Du
- Department of OncologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Wang Yao
- Department of Interventional Oncology, The First Affiliated HospitalSun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Xuefei Shi
- Department of Respiratory Medicine, Huzhou HospitalZhejiang University School of MedicineHuzhouPeople's Republic of China
| | - Xiaomin Niu
- Department of Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPeople's Republic of China
| | - Dongmei Yuan
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yanwen Yao
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Jing Kang
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Jiatao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's HospitalGuangdong Academy of Medical Sciences, School of MedicineGuangzhouPeople's Republic of China
| | - Jianfei Fu
- Department of Medical Oncology, Affiliated Jinhua HospitalZhejiang University School of MedicineJinhuaPeople's Republic of China
| | - Jianhui Huang
- Department of OncologyLishui Municipal Central HospitalLishuiPeople's Republic of China
| | - Yinbin Zhang
- Department of Oncology, the Second Affiliated Hospital of Medical CollegeXi'an Jiaotong UniversityXi'anPeople's Republic of China
| | - Pingli Sun
- Department of PathologyThe Second Hospital of Jilin UniversityChangchunPeople's Republic of China
| | - Hong Wang
- Senior Department of OncologyThe 5th Medical Center of PLA General HospitalBeijingPeople's Republic of China
| | - Mingxiang Ye
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Dong Wang
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Zhaofeng Wang
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yue Hao
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Zhen Wang
- Department of Radiation Oncology, Affiliated Jinling HospitalMedical School of NanjingNanjingPeople's Republic of China
| | - Bing Wan
- Department of Respiratory MedicineThe Affiliated Jiangning Hospital of Nanjing Medical UniversityNanjingPeople's Republic of China
| | - Donglai Lv
- Department of Clinical OncologyThe 901 Hospital of Joint Logistics Support Force of People Liberation ArmyHefeiPeople's Republic of China
| | - Gang Lan
- Department of Thoracic Disease Diagnosis and Treatment Center, Zhejiang Rongjun HospitalThe Third Affiliated Hospital of Jiaxing UniversityJiaxingPeople's Republic of China
| | - Shengjie Yang
- Department of Thoracic SurgeryChuxiong Yi Autonomous Prefecture People's HospitalChuxiongPeople's Republic of China
| | - Lin Shi
- Department of Respiratory Medicine, Zhongshan HospitalFudan UniversityShanghaiPeople's Republic of China
| | - Yina Wang
- Department of Oncology, The First Affiliated Hospital, College of MedicineZhejiang UniversityHangzhouPeople's Republic of China
| | - Bihui Li
- Department of OncologyThe Second Affiliated Hospital of Guilin Medical UniversityGuilinPeople's Republic of China
| | - Zhang Zhang
- International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Discovery of Chinese Ministry of Education (MOE), Guangzhou City Key Laboratory of Precision Chemical Drug Development, School of PharmacyJinan UniversityGuangzhouPeople's Republic of China
| | - Zhongwu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of PathologyPeking University Cancer Hospital & InstituteBeijingPeople's Republic of China
| | - Yuan Li
- Department of PathologyFudan University Shanghai Cancer CenterShanghaiPeople's Republic of China
| | - Zhefeng Liu
- Senior Department of OncologyThe 5th Medical Center of PLA General HospitalBeijingPeople's Republic of China
| | - Nong Yang
- Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaPeople's Republic of China
| | - Huijuan Wang
- Department of Medical OncologyThe Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer HospitalZhengzhouPeople's Republic of China
| | - Wenbin Huang
- Department of Pathologythe First Affiliated Hospital of Henan University of Science and TechnologyLuoyangPeople's Republic of China
| | - Zhuan Hong
- Department of Medical Oncology, Jiangsu Cancer HospitalNanjing Medical University Affiliated Cancer HospitalNanjingPeople's Republic of China
| | - Guansong Wang
- Institute of Respiratory Diseases, Xinqiao HospitalThird Military Medical UniversityChongqingPeople's Republic of China
| | - Jiandong Wang
- Department of Pathology, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Meiyu Fang
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw HospitalZhejiang UniversityHangzhouPeople's Republic of China
| | - Xixu Zhu
- Department of Radiation Oncology, Affiliated Jinling HospitalMedical School of NanjingNanjingPeople's Republic of China
| | - Yi Shen
- Department of Thoracic Surgery, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yiping Zhang
- Department of ChemotherapyChinese Academy of Sciences University Cancer Hospital (Zhejiang Cancer Hospital)HangzhouPeople's Republic of China
| | - Shenglin Ma
- Department of Oncology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou Cancer Hospital, Cancer CenterZhejiang University School of MedicineHangzhouPeople's Republic of China
| | - Yong Song
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Yuanzhi Lu
- Department of Clinical PathologyThe First Affiliated Hospital of Jinan UniversityGuangzhouPeople's Republic of China
| | - Wenfeng Fang
- Department of Medical Oncology, Sun Yat‐sen University Cancer Center, State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangzhouPeople's Republic of China
| | - Ziming Li
- Department of Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiPeople's Republic of China
| | - Lin Wu
- The Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South UniversityCentral South UniversityChangshaPeople's Republic of China
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36
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Agostini M, Alexander A, Araujo GR, Bakalyarov AM, Balata M, Barabanov I, Baudis L, Bauer C, Belogurov S, Bettini A, Bezrukov L, Biancacci V, Bossio E, Bothe V, Brugnera R, Caldwell A, Calgaro S, Cattadori C, Chernogorov A, Chiu PJ, Comellato T, D'Andrea V, Demidova EV, Di Giacinto A, Di Marco N, Doroshkevich E, Fischer F, Fomina M, Gangapshev A, Garfagnini A, Gooch C, Grabmayr P, Gurentsov V, Gusev K, Hackenmüller S, Hemmer S, Hofmann W, Huang J, Hult M, Inzhechik LV, Janicskó Csáthy J, Jochum J, Junker M, Kazalov V, Kermaïdic Y, Khushbakht H, Kihm T, Kilgus K, Kirpichnikov IV, Klimenko A, Knöpfle KT, Kochetov O, Kornoukhov VN, Krause P, Kuzminov VV, Laubenstein M, Lehnert B, Lindner M, Lippi I, Lubashevskiy A, Lubsandorzhiev B, Lutter G, Macolino C, Majorovits B, Maneschg W, Manzanillas L, Marshall G, Miloradovic M, Mingazheva R, Misiaszek M, Morella M, Müller Y, Nemchenok I, Neuberger M, Pandola L, Pelczar K, Pertoldi L, Piseri P, Pullia A, Ransom C, Rauscher L, Redchuk M, Riboldi S, Rumyantseva N, Sada C, Sailer S, Salamida F, Schönert S, Schreiner J, Schütt M, Schütz AK, Schulz O, Schwarz M, Schwingenheuer B, Selivanenko O, Shevchik E, Shirchenko M, Shtembari L, Simgen H, Smolnikov A, Stukov D, Sullivan S, Vasenko AA, Veresnikova A, Vignoli C, von Sturm K, Wester T, Wiesinger C, Wojcik M, Yanovich E, Zatschler B, Zhitnikov I, Zhukov SV, Zinatulina D, Zschocke A, Zsigmond AJ, Zuber K, Zuzel G. Final Results of GERDA on the Two-Neutrino Double-β Decay Half-Life of ^{76}Ge. Phys Rev Lett 2023; 131:142501. [PMID: 37862664 DOI: 10.1103/physrevlett.131.142501] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 08/15/2023] [Indexed: 10/22/2023]
Abstract
We present the measurement of the two-neutrino double-β decay rate of ^{76}Ge performed with the GERDA Phase II experiment. With a subset of the entire GERDA exposure, 11.8 kg yr, the half-life of the process has been determined: T_{1/2}^{2ν}=(2.022±0.018_{stat}±0.038_{syst})×10^{21} yr. This is the most precise determination of the ^{76}Ge two-neutrino double-β decay half-life and one of the most precise measurements of a double-β decay process. The relevant nuclear matrix element can be extracted: M_{eff}^{2ν}=(0.101±0.001).
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Affiliation(s)
- M Agostini
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Alexander
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - G R Araujo
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - A M Bakalyarov
- National Research Centre "Kurchatov Institute," Moscow, Russia
| | - M Balata
- INFN Laboratori Nazionali del Gran Sasso, Assergi, Italy
| | - I Barabanov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - L Baudis
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - C Bauer
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - S Belogurov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Institute for Theoretical and Experimental Physics, NRC "Kurchatov Institute," Moscow, Russia
| | - A Bettini
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | - L Bezrukov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - V Biancacci
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | - E Bossio
- Physik Department, Technische Universität München, Germany
| | - V Bothe
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - R Brugnera
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | - A Caldwell
- Max-Planck-Institut für Physik, Munich, Germany
| | - S Calgaro
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | | | - A Chernogorov
- Institute for Theoretical and Experimental Physics, NRC "Kurchatov Institute," Moscow, Russia
- National Research Centre "Kurchatov Institute," Moscow, Russia
| | - P-J Chiu
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - T Comellato
- Physik Department, Technische Universität München, Germany
| | - V D'Andrea
- INFN Laboratori Nazionali del Gran Sasso and Università degli Studi dell'Aquila, L'Aquila, Italy
| | - E V Demidova
- Institute for Theoretical and Experimental Physics, NRC "Kurchatov Institute," Moscow, Russia
| | - A Di Giacinto
- INFN Laboratori Nazionali del Gran Sasso, Assergi, Italy
| | - N Di Marco
- INFN Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, Assergi, Italy
| | - E Doroshkevich
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F Fischer
- Max-Planck-Institut für Physik, Munich, Germany
| | - M Fomina
- Joint Institute for Nuclear Research, Dubna, Russia
| | - A Gangapshev
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A Garfagnini
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | - C Gooch
- Max-Planck-Institut für Physik, Munich, Germany
| | - P Grabmayr
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - V Gurentsov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - K Gusev
- Joint Institute for Nuclear Research, Dubna, Russia
- National Research Centre "Kurchatov Institute," Moscow, Russia
- Physik Department, Technische Universität München, Germany
| | | | | | - W Hofmann
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - J Huang
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - M Hult
- European Commission, JRC-Geel, Geel, Belgium
| | - L V Inzhechik
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | | | - J Jochum
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - M Junker
- INFN Laboratori Nazionali del Gran Sasso, Assergi, Italy
| | - V Kazalov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - Y Kermaïdic
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - H Khushbakht
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - T Kihm
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - K Kilgus
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - I V Kirpichnikov
- Institute for Theoretical and Experimental Physics, NRC "Kurchatov Institute," Moscow, Russia
| | - A Klimenko
- Joint Institute for Nuclear Research, Dubna, Russia
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - K T Knöpfle
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - O Kochetov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - V N Kornoukhov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - P Krause
- Physik Department, Technische Universität München, Germany
| | - V V Kuzminov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M Laubenstein
- INFN Laboratori Nazionali del Gran Sasso, Assergi, Italy
| | - B Lehnert
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | | | | | - B Lubsandorzhiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - G Lutter
- European Commission, JRC-Geel, Geel, Belgium
| | - C Macolino
- INFN Laboratori Nazionali del Gran Sasso and Università degli Studi dell'Aquila, L'Aquila, Italy
| | | | - W Maneschg
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | | | - G Marshall
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - M Miloradovic
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - R Mingazheva
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - M Misiaszek
- Institute of Physics, Jagiellonian University, Cracow, Poland
| | - M Morella
- INFN Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, Assergi, Italy
| | - Y Müller
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - I Nemchenok
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Neuberger
- Physik Department, Technische Universität München, Germany
| | - L Pandola
- INFN Laboratori Nazionali del Sud, Catania, Italy
| | - K Pelczar
- European Commission, JRC-Geel, Geel, Belgium
| | - L Pertoldi
- Physik Department, Technische Universität München, Germany
- INFN Padova, Padua, Italy
| | - P Piseri
- Dipartimento di Fisica, Università degli Studi di Milano and INFN Milano, Milan, Italy
| | - A Pullia
- Dipartimento di Fisica, Università degli Studi di Milano and INFN Milano, Milan, Italy
| | - C Ransom
- Physik-Institut, Universität Zürich, Zurich, Switzerland
| | - L Rauscher
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | | | - S Riboldi
- Dipartimento di Fisica, Università degli Studi di Milano and INFN Milano, Milan, Italy
| | - N Rumyantseva
- Joint Institute for Nuclear Research, Dubna, Russia
- National Research Centre "Kurchatov Institute," Moscow, Russia
| | - C Sada
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | - S Sailer
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - F Salamida
- INFN Laboratori Nazionali del Gran Sasso and Università degli Studi dell'Aquila, L'Aquila, Italy
| | - S Schönert
- Physik Department, Technische Universität München, Germany
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - M Schütt
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - A-K Schütz
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - O Schulz
- Max-Planck-Institut für Physik, Munich, Germany
| | - M Schwarz
- Physik Department, Technische Universität München, Germany
| | | | - O Selivanenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - E Shevchik
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Shirchenko
- Joint Institute for Nuclear Research, Dubna, Russia
| | - L Shtembari
- Max-Planck-Institut für Physik, Munich, Germany
| | - H Simgen
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - A Smolnikov
- Joint Institute for Nuclear Research, Dubna, Russia
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - D Stukov
- National Research Centre "Kurchatov Institute," Moscow, Russia
| | - S Sullivan
- Max-Planck-Institut für Kernphysik, Heidelberg, Germany
| | - A A Vasenko
- Institute for Theoretical and Experimental Physics, NRC "Kurchatov Institute," Moscow, Russia
| | - A Veresnikova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - C Vignoli
- INFN Laboratori Nazionali del Gran Sasso, Assergi, Italy
| | - K von Sturm
- Dipartimento di Fisica e Astronomia, Università degli Studi di Padova, Padua, Italy
- INFN Padova, Padua, Italy
| | - T Wester
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - C Wiesinger
- Physik Department, Technische Universität München, Germany
| | - M Wojcik
- Institute of Physics, Jagiellonian University, Cracow, Poland
| | - E Yanovich
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - B Zatschler
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - I Zhitnikov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - S V Zhukov
- National Research Centre "Kurchatov Institute," Moscow, Russia
| | - D Zinatulina
- Joint Institute for Nuclear Research, Dubna, Russia
| | - A Zschocke
- Physikalisches Institut, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | | | - K Zuber
- Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - G Zuzel
- Institute of Physics, Jagiellonian University, Cracow, Poland
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37
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Jian X, Chen J, Ding S, Garofalo A, Gong X, Holland C, Huang J, Chan VS, Qin X, Yu G, Ma RR, Du X, Hong R, Staebler G, Wang H, Yan Z, Bass E, Brower D, Ding W, Orlov D. Experimental Validation of a Kinetic Ballooning Mode in High-Performance High-Bootstrap Current Fraction Fusion Plasmas. Phys Rev Lett 2023; 131:145101. [PMID: 37862644 DOI: 10.1103/physrevlett.131.145101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 07/09/2023] [Accepted: 08/21/2023] [Indexed: 10/22/2023]
Abstract
We report the observation of a set of coherent high frequency electromagnetic fluctuations that leads to a turbulence induced self-regulating phenomenon in the DIII-D high bootstrap current fraction plasma. The fluctuations have frequency of 130-220 kHz, the poloidal wavelength and phase velocity are 16-30 m^{-1} and ∼30 km/s, respectively, in the outboard midplane with the estimated toroidal mode number n∼5-9. The fluctuations are located in the internal transport barrier (ITB) region at large radius and are experimentally validated to be kinetic ballooning modes (KBM). Quasilinear estimation predicts the KBM to be able to drive experimental particle flux and non-negligible thermal flux, suggesting its significant role in regulating the ITB saturation.
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Affiliation(s)
- X Jian
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
- University of California, San Diego, La Jolla, California 92093-0417, USA
| | - J Chen
- University of California Los Angeles, Los Angeles, California 90095, USA
| | - S Ding
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - A Garofalo
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - X Gong
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
| | - C Holland
- University of California, San Diego, La Jolla, California 92093-0417, USA
| | - J Huang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
| | - V S Chan
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - X Qin
- University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - G Yu
- University of California at Davis, Davis, California 95616, USA
| | - R R Ma
- Southwestern Institute of Physics, P.O. Box 432 Chengdu 610041, China
| | - X Du
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - R Hong
- University of California Los Angeles, Los Angeles, California 90095, USA
| | - G Staebler
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - H Wang
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - Z Yan
- University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - E Bass
- University of California, San Diego, La Jolla, California 92093-0417, USA
| | - D Brower
- University of California Los Angeles, Los Angeles, California 90095, USA
| | - W Ding
- University of California Los Angeles, Los Angeles, California 90095, USA
| | - D Orlov
- University of California, San Diego, La Jolla, California 92093-0417, USA
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Mi Y, Xue Z, Qu S, Yin Y, Huang J, Kou R, Wang X, Luo S, Li W, Tang Y. The economic burden of coronary heart disease in mainland China. Public Health 2023; 224:140-151. [PMID: 37797560 DOI: 10.1016/j.puhe.2023.08.034] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/06/2023] [Accepted: 08/25/2023] [Indexed: 10/07/2023]
Abstract
OBJECTIVES The aim of this study was to systematically evaluate the current economic burden of coronary heart disease (CHD) in mainland China and provide a reference for the formulation of policies to reduce the economic burden of CHD. STUDY DESIGN A systematic literature review was conducted of empirical studies on the economic burden of CHD over the past 20 years. METHODS PubMed, Web of Science, Embase, China Knowledge Resource Integrated Database and the WANFANG database were comprehensively searched for relevant articles published between 1 January 2000 and 22 December 2021. Content analysis was used to extract the data, and Stata 17.0 software was used for analysis. The median values were used to describe trends. RESULTS A total of 35 studies were included in this review. The annual median per-capita hospitalisation expense and the average expense per hospitalisation were $3544.40 ($891.64-$18,371.46) and $5407.34 ($1139.93-$8277.55), respectively. The median ratio on medical consumables expenses, drug expenses, medical examination expenses and treatment expenses were 41.59% (12.40%-63.73%), 26.90% (7.30%-60.00%), 9.45% (1.65%-33.40%) and 10.10% (2.36%-66.00%), respectively. The median per-capita hospitalisation expense in the eastern, central and western regions were $9374.45 ($2056.13-$18,371.46), $4751.5 ($2951.95-$8768.93) and $3251.25 ($891.64-$13,986.38), respectively. The median average expense per hospitalisation in the eastern and central regions were $6177.15 ($1679.15-$8277.55) and $1285.49 ($1239.93-$2197.36), respectively. The median average length of stay in the eastern, central and western regions were 9.3 days, 15.2 days and 16.1 days, respectively. CONCLUSIONS The economic burden of CHD is more severe in mainland China than in developed countries, especially in terms of the direct economic burden. In terms of the types of direct medical expenses, a proportion of medical examination expenses, treatment expenses and drug expenses were lowest in the eastern region, but medical consumables expenses were the highest in this region. This study provides guidance for the formulation of policies to reduce the economic burden of CHD in mainland China.
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Affiliation(s)
- Y Mi
- School of Public Health, Weifang Medical University, Weifang, PR China
| | - Z Xue
- School of Public Health, Weifang Medical University, Weifang, PR China
| | - S Qu
- School of Public Health, Weifang Medical University, Weifang, PR China
| | - Y Yin
- Qingdao Stomatological Hospital, Qingdao, PR China
| | - J Huang
- School of Public Health, Weifang Medical University, Weifang, PR China
| | - R Kou
- School of Public Health, Weifang Medical University, Weifang, PR China
| | - X Wang
- Personnel Department, Weifang Medical University, Weifang, PR China
| | - S Luo
- School of Management, Weifang Medical University, Weifang, PR China
| | - W Li
- School of Public Health, Weifang Medical University, Weifang, PR China.
| | - Y Tang
- School of Public Health, Weifang Medical University, Weifang, PR China.
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Kang KH, Price AT, Reynoso FJ, Laugeman E, Morris ED, Samson P, Huang J, Badiyan SN, Kim H, Brenneman RJ, Abraham CD, Knutson N, Henke LE. A Pilot Study of Simulation-Free Hippocampal-Avoidance Whole Brain Radiotherapy Using Diagnostic MR-Based and Online Adaptive Planning. Int J Radiat Oncol Biol Phys 2023; 117:e113. [PMID: 37784653 DOI: 10.1016/j.ijrobp.2023.06.894] [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) We aimed to demonstrate the clinical feasibility and safety of a simulation-free hippocampal avoidance whole brain radiotherapy (HA-WBRT) workflow in a Phase I clinical trial (NCT05096286). Feasibility was defined as successful completion of the simulation-free HA-WBRT workflow through treatment delivery in at last 70% of treated patients. MATERIALS/METHODS Ten candidates for HA-WBRT were enrolled for treatment on a ring gantry CT-guided Linac with online adaptive capabilities. Structures were contoured on the diagnostic brain MRI, which was then registered to a separate head computed tomography (CT) of similar head shape, obtained from an atlas-based database. A HA-WBRT "pre-plan" was generated using the atlas-based CT (AB-CT) and the NRG-CC001 constraints. At first fraction, the AB-CT was used as the primary dataset and deformed to the patient's cone-beam CT (CBCT) for dose calculation. The brain, ventricles, and brainstem contours were matched through rigid translation and rotation to the corresponding anatomy on the CBCT to aid in alignment, given the differences in rotational head positioning from diagnostic MRI to CBCT setup. Lastly, the lens, optic nerves, and brain contours were manually edited based on CBCT visualization. Plans were then optimized, and the adaptive plan was chosen for treatment if the plan met all objectives. Workflow tasks were timed. In addition, conventional plans using patients' sim CTs were created for each patient for the purpose of prospective dosimetric comparison. The dosimetric parameters were compared for each patient between the delivered sim-free plan and the conventional sim CT plan using the sign test via statistical software, with p<.05 indicating significance. RESULTS Median time from approved sim order to first fraction was 4 days (range: 2-7); median time in room (door-to-door) was 49 minutes (range: 35-70). All patients successfully completed all ten fractions and 90% of the simulation-free radiation plans met all NRG-CC001 constraints. For one patient, the sim-free plan at fraction one failed the planning target volume (PTV) coverage objective (coverage of 89%); this was deemed acceptable for delivery by the treating radiation oncologist. An offline replan was then performed to meet NRG-CC001 constraints and used for the subsequent nine fractions. There was no clinically meaningful difference in dosimetric constraints between the sim-free plan (calculated on AB-CT) and conventional CT sim plan. Statistically, the sim-free plans provided improved PTV coverage to higher doses compared to the conventional plans (Table). At a median follow-up of 43 days (range: 9 -280), the intracranial progression-free survival rate was 90%. CONCLUSION Simulation-free HA-WBRT is feasible, results in plans that are dosimetrically comparable to conventional CT sim workflows and succeeds in decreasing time to initiation of HA-WBRT by at least 50%. Further studies with a larger cohort are warranted to optimize the workflow.
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Affiliation(s)
- K H Kang
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - A T Price
- University Hospitals, Department of Radiation Oncology, Case Western Reserve University, Cleveland, OH
| | - F J Reynoso
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - E Laugeman
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - E D Morris
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - P Samson
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - J Huang
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - S N Badiyan
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - H Kim
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - R J Brenneman
- Banner MD Anderson Cancer Center at Banner North Colorado Medical Center, Greeley, CO
| | - C D Abraham
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - N Knutson
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - L E Henke
- University Hospitals, Department of Radiation Oncology, Case Western Reserve University, Cleveland, OH
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Lin TA, Ke S, Hu C, Assadi RK, Huang J, Kleinberg LR, Mukherjee D, Weingart J, Holdhoff M, Grossman S, Redmond KJ. Low Dose Fractionated Radiation Therapy as a Chemo-Potentiator of Salvage Temozolomide (TMZ) for Recurrent Anaplastic Astrocytoma (AA) and Glioblastoma Multiforme (GBM): A Single-Arm Phase I/II Trial. Int J Radiat Oncol Biol Phys 2023; 117:S85. [PMID: 37784589 DOI: 10.1016/j.ijrobp.2023.06.407] [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) Cell survival curves demonstrate low-dose radiation hypersensitivity, with steepest cell kill at 0.3-0.5 Gy/fx. This phase 1/2 study assessed the safety and efficacy of low-dose fractionated radiation therapy (LDFRT) as a chemopotentiator of concurrent TMZ for patients with recurrent GBM or AA. MATERIALS/METHODS Patients with recurrent GBM or AA s/p standard of care therapy and ≥12 months from prior RT and ≥2 months from prior TMZ were eligible to receive 0.5 Gy of RT twice daily for 10 fx with concurrent TMZ (150-200 mg/m2), both delivered in 5 consecutive days of a 28-day cycle for up to 6 cycles, followed by 6 more cycles of adjuvant TMZ. In phase 1, hematologic toxicity was assessed 1 month after starting therapy. Brain MRIs were obtained every 2 months, or every 1 month in cases of potential progression. Progression was defined by RANO criteria. Pseudoprogression consisted of MRI changes independent of clinical deterioration or steroid use that stabilize/reverse without oncologic intervention. The primary endpoint was 1-year overall survival (OS), with a lower bound of an 80% CI >28% deemed promising for further study based on historical data. Secondary endpoints were rates of pseudoprogression and hematologic toxicity. RESULTS Thirty-one patients were enrolled/analyzed. Grade 3-4 acute hematologic toxicity was seen in 8 (27%) patients. Median follow-up was 9.5 (range: 0.1-66.3) months (mos). Median and 1-yr OS were 9.6 (95% CI = 7.0-15.4) mos and 34.5% (95% CI = 20.9%-57.0%). The lower bound of the 80% CI for 1-yr OS was 24.8%. 77% of patients experienced pseudoprogression, with a median time to pseudoprogression from start of LDFRT of 1.9 (95% CI = 1.7-4.4) mos and median duration of 3.6 (95% CI = 1.6-Not estimable) mos. Patients with pseudoprogression had improved OS vs. those without (N = 6; median 10.6 vs 3.9 mos, HR = 0.12 [95% CI = 0.03-0.40]; P < 0.01). CONCLUSION LDFRT in the re-irradiation setting for GBM or AA was safe. High rates of pseudoprogression were observed at strikingly low RT doses, with improved OS amongst patients with vs. without pseudoprogression. While pseudoprogression is common at definitive doses of brain RT, it is rare at palliative doses (e.g., 30 Gy/10 fx). Thus, low-dose RT hypersensitivity may be elicited by LDFRT with TMZ for patients with GBM/AA. Further study is needed to optimally apply this radiobiological property to improve patient outcomes.
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Affiliation(s)
- T A Lin
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - S Ke
- Department of Radiation Oncology & Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - C Hu
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Division of Quantitative Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - R K Assadi
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - J Huang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - L R Kleinberg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - D Mukherjee
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - J Weingart
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - M Holdhoff
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - S Grossman
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - K J Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
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Rimner A, Huang J, Pagano A, Ginsberg M, Chang J, Riely G, Simone CB, Gomez DR, Shepherd AF. Phase II Study of Hemithoracic Intensity-Modulated Pleural Radiation Therapy (IMPRINT) for Patients with Pleural Metastases from Thymic Malignancies. Int J Radiat Oncol Biol Phys 2023; 117:e56-e57. [PMID: 37785717 DOI: 10.1016/j.ijrobp.2023.06.771] [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) Pleural metastases are common sites for recurrence and progression in patients with thymic malignancies. The management of pleural metastases typically involves surgical resection with or without neoadjuvant or adjuvant systemic therapy. After surgical resection of pleural metastases, the 5-year progression-free survival (PFS) rate is about 29-45%. While radiation therapy (RT) is standardly used in the management of locally-advanced thymic malignancies, the role of RT in patients with pleural metastases in unclear. Intensity-modulated pleural radiation therapy (IMPRINT) is a RT technique currently being used to treat malignant pleural mesothelioma (MPM) patients with 2 intact lungs at centers that specialize in MPM treatment. This IMPRINT technique can potentially be extrapolated to thymic patients with pleural metastases. Because the risk of toxicity is of greater concern for thymic patients given their overall relatively favorable prognosis, the rate of toxicity, particularly radiation pneumonitis, needs to be established in the thymic patient population. MATERIALS/METHODS This is a single-arm, single institution Phase II study of hemithoracic IMPRINT for patients with pleural metastases from thymic malignancies. The primary endpoint of this study is grade 3 or higher radiation pneumonitis within 4 months of completing RT. Secondary endpoints include any toxicity, progression-free survival, patterns of failure and overall survival. Patients must have a pathologically confirmed diagnosis of a thymic malignancy with radiologic or pathologic evidence of pleural metastases. Thymoma or thymic carcinoma are allowed. Patients may have de novo stage IVA disease or recurrent disease in the pleura. There must be no evidence of extrathoracic metastatic disease or contralateral pleural/pericardial disease. Surgical resection of the pleural nodules (ex: pleurectomy/decortication, debulking/metastasectomy) are allowed. Extrapleural pneumonectomy is not allowed. Patients are excluded if they have undergone prior thoracic radiation therapy preventing hemithoracic pleural IMRT, whereas prior thymic bed radiation and/or prior pleural SBRT are allowed. RT will be administered to the ipsilateral pleura to 50.4 Gy in 28 fractions. An optional dose-painting boost to gross disease up to 60 Gy while respecting normal tissue constraints is allowed. Patients can be treated with photon or proton therapy. Simulation, contouring and RT planning guidelines have been developed. Patients will be followed per protocol at regular intervals for at least 12 months following RT. The expected accrual is 36 patients over 4 years. Further information can be found on clinicaltrials.gov (NCT05354570). RESULTS To be determined. CONCLUSION To be determined.
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Affiliation(s)
- A Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Huang
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - A Pagano
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - M Ginsberg
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Chang
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - G Riely
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - D R Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - A F Shepherd
- Memorial Sloan Kettering Cancer Center, New York, NY
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Zhang J, Peng G, Ding Q, Qin Y, Wu B, Zhang Z, Zou Z, Shi L, Hong X, Han J, Liang Z, Yang K, Huang J. Standard Therapy vs. Individualized Therapy in Elderly Locally Advanced Nasopharyngeal Carcinoma: A Real-World Study. Int J Radiat Oncol Biol Phys 2023; 117:e589. [PMID: 37785782 DOI: 10.1016/j.ijrobp.2023.06.1937] [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) Concurrent chemoradiotherapy (CRT) with/without induction chemotherapy has been the standard therapy (ST) for locally advanced nasopharyngeal carcinoma (LA-NPC). However, most patients supporting these clinical trials were younger than 65 years of age. For the toxicity of CRT and the poor tolerance of elderly patients, it is still controversial whether ST could bring the most promising survival benefits for elderly NPC compared with individualized therapy (IT). Thus, in this real-world study we compared the survival and safety of ST with IT in elderly LA-NPC to explore an effective and tolerable treatment strategy for elderly LA-NPC. MATERIALS/METHODS A total of 109 newly diagnosed elderly LA-NPC (>65 years old) from Jan. 2013-Jul. 2020 were retrospectively enrolled and divided into the ST group and IT group according to the original treatment tendency. ST refers to CRT with/without induction chemotherapy. IT group included patients not suitable for CRT and were given individualized treatment fully discussed by at least two oncologists from our head and neck team. A 1:1 propensity score matching (PSM) generated a matched cohort of ST and IT. The survivals and treatment related toxicities were compared between the two groups. RESULTS There were 46 cases in the ST group and 63 cases in the IT group. The 5-year overall survival (OS) rate, cancer-specific survival (CSS) rate, progression- free survival (PFS) rate, local recurrence-free survival (LRFS) rate and distant metastasis-free survival (DMFS) rate were 68.64%, 76.42%, 73.69%, 85.67% and 86.82%, respectively. By 1:1PSM, 35 cases in each group were matched. No significant differences of OS, CSS, PFS, LRFS and DMFS were found between ST and IT groups in the PSM-matched cohorts (P = 0.87, P = 0.79, P = 0.51, P = 0.81 and P = 0.24, respectively). Compared with patients in the ST group, cases received IT were associated with less severe acute toxicities including anemia, leucopenia, neutropenia, and thrombocytopenia. CONCLUSION For elderly LA-NPC, IT had similar survivals while less severe toxicities compared with ST, which revolutionarily challenged the role of ST for elderly LA-NPC. In the future, more studies are need to explore a less toxic treatment modality with noninferior efficacy for elderly LA-NPC.
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Affiliation(s)
- J Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - G Peng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Ding
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - B Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Zou
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Shi
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Hong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Han
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Liang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - K Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Wang A, Zhu B, Huang J, Wong MCS, Xue H. Quality of primary healthcare in China: challenges and strategies. Hong Kong Med J 2023; 29:372-374. [PMID: 37794614 DOI: 10.12809/hkmj235149] [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: 10/06/2023] Open
Affiliation(s)
- A Wang
- School of Economics and Management, Xidian University, Xi'an, China
| | - B Zhu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - J Huang
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Editor-in-Chief, Hong Kong Medical Journal
| | - M C S Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Editor-in-Chief, Hong Kong Medical Journal
- School of Public Health, Fudan University, Shanghai, China
- The Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- School of Public Health, Peking University, Beijing, China
| | - H Xue
- Stanford Center on China's Economy and Institutions, Freeman Spogli Institute for International Studies, Stanford University, Stanford, United States
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Oliveira C, Huang J, Onar A, Robinson GW, Gajjar A, Merchant TE. Dose-Effect of Proton and Photon Craniospinal Irradiation on Vertebral Growth in Pediatric Patients with Medulloblastoma. Int J Radiat Oncol Biol Phys 2023; 117:S77-S78. [PMID: 37784571 DOI: 10.1016/j.ijrobp.2023.06.393] [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) Craniospinal irradiation (CSI) directly damages vertebral growth plates causing skeletal dysplasia leading to reduced height in pediatric long-term survivors. The objective of this study is to quantify the adjusted effect of CSI on standing and sitting height by radiation dose and modality in children. MATERIALS/METHODS Two hundred sixty-five patients (M/F 169/96) were treated at a single institution on a clinical and molecular risk-directed trial for medulloblastoma (NCT01878617) using proton or photon therapy. Three CSI dose regimens were evaluated: 15 Gy (n = 31), 23.4 Gy (n = 103), ≥36 Gy (n = 131). Vertebral body dose was limited to 18-20 CGE for 23.4 Gy or 36 Gy proton therapy. All patients received post-CSI protocol-specified chemotherapy. Non-parametric tests were applied for baseline patient comparison. Changes in growth over time were calculated using random coefficients models using patient-specific intercepts and slopes. Dose-effects were modeled for ages 5, 10, and 18 years. RESULTS Age at CSI and race were similar between the three dose levels. Females most often received 23.4 Gy and males ≥36 Gy (p = 0.001). Higher CSI doses were associated with photon therapy (p<0.001). Median follow-up was 3 years (range 0.1-7.1). Annual growth rate was significantly different between 15 Gy (3.66 cm/year) and the higher dose levels of 23.4 Gy (2.81 cm/year, p = 0.0389) and ≥36 Gy (2.46 cm/year, p = 0.0032). Lower annual growth rate in females (vs. males, p = 0.0331) was observed in models for those aged 5 (-0.17 cm/year), 10 (-0.35 cm/year), and 18 years (-0.62 cm/year). In multivariate analysis, modelled annual growth rate was dose-dependent at ages 5 and 10 years. The differences were, respectively, 1.68 cm/year between 15 and 23.4 Gy (p = 0.0005) and 0.98 cm/year between 23.4 and ≥36 Gy (p = 0.0002), and 1.13 cm/year between 15 and 23.4 Gy (p = 0.0002) and 0.68 cm/year between 23.4 and ≥36 Gy (p = 0.0003). Radiation modality did not impact standing height over time significantly. Annual sitting height growth was 2.34, 1.67 and 1.1 cm/year for the three dose levels (p<0.0001-0.001). In the multivariate model, a 5-year-old receiving 15 or 23.4 Gy had similar annual sitting height growth, but not when 23.4 Gy was compared to ≥36 Gy (0.83 cm/year, p<0.0001). In a separate model for a patient aged 10 years, there was a difference comparing all CSI regimens (0.81 cm/year, p<0.0001, 15 vs 23.4 Gy; 0.54 cm/year, p = 0.0002, 23.4 vs ≥36 Gy). Sitting height growth was affected by CSI dose at age 18 years, with a difference of 2.2 cm/year between 15 vs 23.4 Gy (p = 0.0013), and no difference between 23.4 and ≥36 Gy. CONCLUSION Annual growth rates show a dose-response relationship, independent of treatment modality. A dose-response in sitting height growth rate is seen at any age, while the annual standing height growth rate was only affected by CSI dose in 5- and 10-year-olds. While all CSI doses had a significant impact on the annual standing height, sitting height growth rates approximated normal values for those treated with a low CSI dose.
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Affiliation(s)
- C Oliveira
- Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - J Huang
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN
| | - A Onar
- Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN
| | - G W Robinson
- St. Jude Children's Research Hospital, Memphis, TN
| | - A Gajjar
- St. Jude Children's Research Hospital, Memphis, TN
| | - T E Merchant
- Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN
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Abstract
PURPOSE Patients with Graves' orbitopathy (GO) have characteristic facial expressions that are different from those of healthy individuals due to the combination of somatic and psychiatric symptoms. However, the facial expressions of GO patients have not yet been described and analyzed systematically. Thus, the present study aimed to present the facial expressions of GO patients and explore their applications in clinical practice. METHODS Facial image and clinical data of 943 GO patients were included, and 126 patients answered quality of life (GO-QOL) questionnaires. Each patient was labeled for one facial expression. Then, a portrait was drawn for every facial expression. Logistic and linear regression was performed to analyze the correlation between facial expression and clinical indicators, including QOL, disease activity and severity. The VGG-19 network model was utilized to discriminate facial expressions automatically. RESULTS Two groups, i.e., the non-negative emotion (neutral, happy) and the negative emotion (disgust, angry, fear, sadness, surprise), and seven expressions of GO patients were systematically analyzed. Facial expression was statistically associated with GO activity (P = 0.002), severity (P < 0.001), QOL visual functioning subscale scores (P = 0.001), and QOL appearance subscale score (P = 0.012). The deep learning model achieved satisfactory results (accuracy 0.851, sensitivity 0.899, precision 0.899, specificity 0.720, F1 score 0.899, and AUC 0.847). CONCLUSIONS As a novel clinical sign, facial expression holds the potential to be incorporated into GO assessment system in the future. The discrimination model may assist clinicians in real-life patient care.
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Affiliation(s)
- C Lei
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - M Qu
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - H Sun
- School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - J Huang
- School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - J Huang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - X Song
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
| | - G Zhai
- School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
| | - H Zhou
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
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Zarabi H, Helis CA, Russell G, Huang J, Liu W, Soltys SG, Mendoza M, Braunstein SE, Salans MA, Wang TJC, Gallitto M, Shi W, Cappelli L, Shen C, Young MD, Mignano JE, Halasz LM, Barbour AB, Masters AH, Chan MD. Multi-Institutional Report of Re-Irradiation for Recurrent High-Grade Glioma. Int J Radiat Oncol Biol Phys 2023; 117:S85-S86. [PMID: 37784590 DOI: 10.1016/j.ijrobp.2023.06.408] [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) Significant heterogeneity exists with regards to prior published reports of re-irradiation (re-RT) in patients with recurrent high grade glioma (HGG). A multi-institutional database of 10 academic centers across the United States was created to analyze prognostic outcomes for re-RT for recurrent HGG, which included WHO Grade III and Grade IV tumors. MATERIALS/METHODS Patients with HGG who had initially received standard radiotherapy (RT) and were subsequently treated with a course of re-RT at recurrence were included in the study. Factors assessed to delineate a significant association with overall survival (OS) and toxicity included age, KPS, number of relapses, dose, use of bevacizumab (BEV) or temozolomide (TMZ), time from prior RT, histology, RT target, re-RT target> 5cm and extent of resection, and MGMT methylation status. The Kaplan-Meier Method was used to estimate OS. Cox proportional hazards regression models were used to identify factors associated with OS. Toxicity outcomes were assessed using logistic regression. Significance was assumed if p<0.05. Data management and decision management software were used for all analyses. RESULTS Between 2001 and 2022, 280 patients from 10 academic institutions were treated with re-RT for diagnosis of recurrent HGG. 133 patients (71.1%) had a histologic glioblastoma (GBM) at the time of re-RT, with the remainder having Grade 3 gliomas. Median dose delivered at re-RT was 47 Gy BED10 (IQR 47 - 53 Gy BED10), with the most common regimen being 35 Gy in 10 fractions. 83 patients (56%) had GTV greater than 5 cm treated with re-RT. 183 patients (79%) received concurrent systemic therapy, including 95 (41%) who received concurrent TMZ and 86 (45%) who received concurrent BEV. Median OS for the entire cohort was 10 months. Increasing dose at re-RT was associated with improved OS (OR 0.80 95% CI 0.67-0.95, p = 0.10 per 10 Gy BED10), as was dose greater than 47 Gy BED10, which is equivalent to 35 Gy in 10 fractions (OR 0.70, 95% CI 0.54-0.91). Concurrent TMZ was also associated with improved OS (OR 0.68, 95% CI 0.46-0.83, p < 0.01). 32/143 (22%) patients evaluable for toxicity experienced Grade 2 or greater adverse radiation effect (ARE). Use of BEV was associated with decreased toxicity (OR 0.45, 95% CI 0.21-0.98, p = 0.05). Dose at re-RT (OR 1.07 per 10 Gy BED10, p = 0.78), a GTV > 5cm (OR 1.39, p = 0.44), and the use of concurrent TMZ (OR 1.90, p = 0.10) were not associated with Grade 2 or greater ARE. CONCLUSION Higher dose of re-RT and use of concurrent TMZ led to improved OS in recurrent HGG patients without an associated increased rate of ARE. Use of BEV decreased the likelihood of Grade 2 or greater ARE in the re-RT setting for these recurrent HGG patients.
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Affiliation(s)
- H Zarabi
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC
| | - C A Helis
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC
| | - G Russell
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - J Huang
- Washington University School of Medicine in St. Louis, Department of Radiation Oncology, St. Louis, MO
| | - W Liu
- University of Iowa, Iowa City, IA
| | - S G Soltys
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Mendoza
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA
| | - S E Braunstein
- University of California San Francisco, Department of Radiation Oncology, San Francisco, CA
| | - M A Salans
- University of California San Francisco, San Francisco, CA
| | | | - M Gallitto
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY
| | - W Shi
- Thomas Jefferson University Hospital, Philadelphia, PA
| | - L Cappelli
- Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA
| | - C Shen
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC
| | - M D Young
- Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - J E Mignano
- Tufts Medical Center, Department of Radiation Oncology, Boston, MA
| | - L M Halasz
- Department of Radiation Oncology, University of Washington/ Fred Hutchinson Cancer Center, Seattle, WA
| | | | | | - M D Chan
- Department of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC
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Lybbert C, Huang J, Jones KG, Mickey BJ, Tadler S, Odell D, Stanford J, Kuck K. Clinical validation of an adapted Eleveld Model for high-dose propofol treatments for depression. J Clin Monit Comput 2023; 37:1369-1377. [PMID: 36967391 DOI: 10.1007/s10877-023-00986-7] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/16/2023] [Indexed: 03/28/2023]
Abstract
Repeated administration of high doses of propofol to patients with treatment-resistant depression (TRD) has been shown to produce antidepressant effects in small clinical trials. These effects can be elicited when the patient's EEG burst-suppression ratio (BSR) is maintained at 70-90% for 15 min in repeated treatments. This deep anesthesia domain lies beyond the range of current propofol pharmacokinetic/pharmacodynamic (PK/PD) models. In this study, we adapt the Eleveld model for use at deep anesthesia levels with a BSR endpoint, with the goal of aiding the estimation of the dosage of propofol needed to achieve 70-90% BSR for 15 min. We test the ability of the adapted model to predict BSR for these treatments. Twenty participants underwent 6-9 treatments of high doses of propofol (5-9 of which were included in this analysis) for a total of 115 treatments. To adapt the Eleveld model for this endpoint, we optimized the model parameters Ke0, γ and Ce50. These parameters were then used in the adapted model to estimate second-by-second BSR for each treatment. Estimated BSR was compared with observed BSR for each treatment of each participant. Median absolute performance error (MdAPE) between the estimated and observed BSR (25th-75th percentile) was 6.63 (3.79-12.96) % points and 8.51 (4.32-16.74) % between the estimated and observed treatment duration. This predictive performance is statistically significantly better at predicting BSR compared with the standard Eleveld model at deep anesthesia levels. Our adapted Eleveld model provides a useful tool to aid dosing propofol for high-dose anesthetic treatments for depression.
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Affiliation(s)
- C Lybbert
- Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA.
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA.
| | - J Huang
- Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - K G Jones
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - B J Mickey
- Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - S Tadler
- Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - D Odell
- Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA
| | - J Stanford
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - K Kuck
- Department of Anesthesiology, University of Utah, Salt Lake City, UT, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
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48
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Hui C, Wakelee HA, Neal JW, Ramchandran KJ, Das M, Nagpal S, Roy M, Huang J, Pollom E, Myall N. CNS Control after First-Line Osimertinib in Patients with Metastatic EGFR-Mutant NSCLC. Int J Radiat Oncol Biol Phys 2023; 117:e110. [PMID: 37784648 DOI: 10.1016/j.ijrobp.2023.06.888] [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) Although osimertinib (osi) has excellent intracranial activity in EGFR-mutant metastatic non-small cell lung cancer (NSCLC), there is no consensus regarding whether to continue osi for central nervous system (CNS) control with second-line chemotherapy (chemo) at the time of systemic progression. We aimed to compare CNS outcomes after first-line osi in patients receiving second-line chemo with or without continuation of osi. MATERIALS/METHODS We retrospectively reviewed patients with EGFR-mutant NSCLC with brain metastases (BrM) at the time of initiating first-line osi who experienced progression and started second-line chemo. Cumulative incidence of local and distant CNS progression, and extracranial (EC) progression was calculated from time of second-line chemo initiation with death as a competing risk. Overall survival (OS) was analyzed using Kaplan-Meier. RESULTS We included 52 patients with a median follow up of 9.6 months (range 0.4-36.4). Median OS and CNS progression-free survival (PFS) from the time of starting second-line chemo was 12.5 months (95% CI 8.1-16.9), and 5.3 months (95% CI 3.35-7.26), respectively. The 1-year cumulative incidence of local, distant CNS progression, any CNS progression, and EC progression was 14.4% (95% CI 4.5-24.2), 42.8% (95% CI 22.8-56.8), 42.8% (95% CI 22.8-56.8) and 66.8% (95% CI 53.5-80.2), respectively. After progression on first-line osi, 25 (48.1%) and 27 patients (51.9%) continued and discontinued osi, respectively. Patients who continued osi had significantly higher BrM burden than those who did not, with 17 (68%), 3 (12%), and 5 (20%) versus 26 (96%), 0, and 1 (3.7%) patient having <10 or >11 parenchymal brain lesions, or leptomeningeal disease (LMD) at the time of second line therapy, respectively (p<0.01). In those who continued osi vs those who did not, median OS (10.8 vs 12.5 months; p = 0.37), median intracranial PFS (5.3 vs 4.8 months; p = 0.99), 1-year cumulative incidence of local (8.4% versus 20 % p = 0.26), and 1-year distant CNS progression (24.8% vs 60%; p = 0.08) was not significantly different. CNS complications such as symptomatic, hospitalizations, and steroid initiation for CNS disease, and progression of LMD were not significantly different between the two groups. Eventually, 10 patients underwent salvage RT post first-line osi and median time to salvage RT was 7.8 months (range 2-9.4). Of patients who underwent salvage RT, 2 patients (20%) had continued osi with second-line chemo. Twelve patients (44.4%) who did not continue osi eventually re-started osi for progressive disease. CONCLUSION Patients who continued osi had significantly higher BrM tumor burden. Despite these patients being at higher risk for CNS progression, time to CNS progression and incidence of CNS complications were not significantly different in the two cohorts. Patients who discontinued osi were more likely to undergo salvage RT. Continuation of osi may allow patients to defer salvage RT.
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Affiliation(s)
- C Hui
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - H A Wakelee
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - J W Neal
- Stanford University School of Medicine, Stanford, CA
| | | | - M Das
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - S Nagpal
- Department of Neurology, Stanford Cancer Institute, Stanford, CA
| | - M Roy
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - J Huang
- Department of Medicine, Stanford University, Stanford, CA
| | - E Pollom
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Myall
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
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Dai L, Huang J, Hu L, Wu J, Wang J, Meng Q, Sun F, Duan Q, Yu J. Efficacy of Nimotuzumab plus Concurrent Chemo-Radiotherapy for Unresectable Esophageal Cancer: A Real-World Study. Int J Radiat Oncol Biol Phys 2023; 117:e354. [PMID: 37785223 DOI: 10.1016/j.ijrobp.2023.06.2432] [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 esophageal cancer ranked 7th in the morbidity of malignant cancer and the 6th contributed to carcinoma deaths. Most patients are diagnosed of advanced stage at first visiting. The 5-year survival rate of unresectable esophageal cancer is about 20% after the standard treatment of concurrent chemo-radiotherapy. Nimotuzumab, a humanized anti-EGFR antibody, has shown good efficacy and low toxicity in epithelial tumors. This two-center, real-world study evaluated the efficacy and safety of nimotuzumab combined with concurrent chemoradiotherapy in unresectable esophageal squamous cell carcinoma (ESCC). MATERIALS/METHODS Totally 503 eligible unresectable ESCC patients from Jan 2014 to Dec 2020 were included. 1:2 nearest neighbor propensity score matching (PSM) was performed to match the Nimo group (nimotuzumab plus concurrent chemo-radiotherapy) and CRT group (concurrent chemo-radiotherapy), and the covariates included age, gender, tumor location, lesion length, TNM stage, clinical stage, and radiotherapy dose. The primary endpoint was overall survival (OS). The secondary endpoints were progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). RESULTS A total of 61 patients were in Nimo group which received nimotuzumab (200 mg/w, 4-6 weeks) combined with concurrent chemo-radiotherapy (chemotherapy: S-1/FP/TP/DP for 2-4 cycles; radiotherapy: 2DRT,3D-CRT or IMRT, 50-70 Gy in 25-35 fractions) and 107 patients in CRT group only received concurrent chemo-radiotherapy. The baseline characteristics were well balanced between the two groups. The efficacy of Nimo group was better than that of CRT group. The ORR was 85.2% vs. 71.0%, (P=0.037), the DCR was 98.4% vs. 91.6%, (P>0.05). The median PFS was 28.07 months vs. 19.54 months, and the 1-, 3- and 5-year PFS rates were 78.2% vs. 72.9%, 37.5% vs. 28.3%, and 29.1% vs. 21.3%, respectively (HR: 0.6860, 95% CI: 0.4902-0.9600, P=0.034). The median OS was 34.93 months vs. 24.30 months and the 1-, 3- and 5-year OS rates were 88.5% vs. 81.3%, 46.8% vs. 35.2% and 37.4% vs. 28.0%, respectively (HR: 0.6701, 95% CI: 0.4792-0.9372, P=0.024). The adverse events including radiation esophagitis, radiation pneumonitis, bone marrow suppression, nausea, vomiting, and rash were no significantly different between the two groups (P>0.05). CONCLUSION Nimotuzumab combined with concurrent chemo-radiotherapy improved the ORR, and prolonged PFS and OS in unresectable ESCC patients with a good tolerance.
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Affiliation(s)
- L Dai
- Department of Radiotherapy, Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, China
| | - J Huang
- Department of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - L Hu
- Department of Radiotherapy, Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, China
| | - J Wu
- Department of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - J Wang
- Department of Radiotherapy, Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, China
| | - Q Meng
- Department of Radiotherapy, Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, China
| | - F Sun
- Department of Radiotherapy, Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, China
| | - Q Duan
- Department of Radiotherapy, Changzhou Second People's Hospital, Nanjing Medical University, Changzhou, China
| | - J Yu
- Department of Radiation Oncology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
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50
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Wang HHX, Li YT, Huang J, Huang W, Wong MCS. Advances and opportunities in the new digital era of telemedicine, e-health, artificial intelligence, and beyond. Hong Kong Med J 2023; 29:380-382. [PMID: 37880812 DOI: 10.12809/hkmj235152] [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: 10/27/2023] Open
Affiliation(s)
- H H X Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- Department of General Practice, The Second Hospital of Hebei Medical University, Shijiazhuang, China
- Usher Institute, Deanery of Molecular, Genetic and Population Health Sciences, The University of Edinburgh, Scotland, United Kingdom
| | - Y T Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - J Huang
- Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - W Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - M C S Wong
- Centre for Health Education and Health Promotion, The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Editor-in-Chief, Hong Kong Medical Journal
- School of Public Health, Fudan University, Shanghai, China
- The Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- School of Public Health, Peking University, Beijing, China
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