1
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Meng X, Huang A, Li Y, Dong X, You T. Highly sensitive and selective photoelectrochemical detection of bis(2-ethylhexyl)phthalate on broad-spectrum responsive and interfacial electronic interaction induced p-n BiOI/ZnO nanoarrays heterojunction. Biosens Bioelectron 2024; 251:116121. [PMID: 38373373 DOI: 10.1016/j.bios.2024.116121] [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: 11/14/2023] [Revised: 01/12/2024] [Accepted: 02/08/2024] [Indexed: 02/21/2024]
Abstract
Bis(2-ethylhexyl)phthalate (DEHP), an endocrine disruptor, shows carcinogenic, teratogenic, mutagenic and estrogenic effects. It is easy to release from plastic materials and migrate to soil environment, causing serious pollution and posing a great threat to human health. In our work, a photoelectrochemical (PEC) sensing platform for DEHP detection was constructed using BiOI/ZnO nanoarrays (NRs) as the transducer species and the DEHP aptamers as the biological recognition elements. ZnO NRs with three-dimensional and large diameter area were prepared by hydrothermal method to increase the light absorption capacity. Coupling BiOI in a narrow band gap with ZnO NRs strengthened visible-light absorption, while promoting charge carrier separation and transportation. This was attributed to the generation of an internal electric field between BiOI and ZnO NRs, exhibiting obvious photocurrent response. The as-developed PEC sensing platform demonstrated great sensing performance for detection of DEHP. Furthermore, the photocurrent varied and the logarithm of DEHP concentration showed a linear relationship from 1.0 × 10-11 to 5.0 × 10-7 mol/L, and the limit of detection was estimated to be 3.8 × 10-12 mol/L. In the meantime, while evaluating its usage in real soil samples, satisfying outcomes were realized. Thus, the as-proposed PEC sensing platform provided a potential device to monitor DEHP in the environment.
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Affiliation(s)
- Xiangle Meng
- Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Ao Huang
- Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Yuye Li
- Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Xiuxiu Dong
- Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
| | - Tianyan You
- Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China; College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, Henan, 471003, China.
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2
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Sun W, Wang Z, Wen S, Huang A, Li H, Jiang L, Feng Q, Fan D, Tian Q, Han D, Liu X. Technical strategy for monozygotic twin discrimination by single-nucleotide variants. Int J Legal Med 2024; 138:767-779. [PMID: 38197923 DOI: 10.1007/s00414-023-03150-7] [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: 03/08/2023] [Accepted: 12/11/2023] [Indexed: 01/11/2024]
Abstract
Monozygotic (MZ) twins are theoretically genetically identical. Although they are revealed to accumulate mutations after the zygote splits, discriminating between twin genomes remains a formidable challenge in the field of forensic genetics. Single-nucleotide variants (SNVs) are responsible for a substantial portion of genetic variation, thus potentially serving as promising biomarkers for the identification of MZ twins. In this study, we sequenced the whole genome of a pair of female MZ twins when they were 27 and 33 years old to approximately 30 × coverage using peripheral blood on an Illumina NovaSeq 6000 Sequencing System. Potentially discordant SNVs supported by whole-genome sequencing were validated extensively by amplicon-based targeted deep sequencing and Sanger sequencing. In total, we found nine bona fide post-twinning SNVs, all of which were identified in the younger genomes and found in the older genomes. None of the SNVs occurred within coding exons, three of which were observed in introns, supported by whole-exome sequencing results. A double-blind test was employed, and the reliability of MZ twin discrimination by discordant SNVs was endorsed. All SNVs were successfully detected when input DNA amounts decreased to 0.25 ng, and reliable detection was limited to seven SNVs below 0.075 ng input. This comprehensive analysis confirms that SNVs could serve as cost-effective biomarkers for MZ twin discrimination.
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Affiliation(s)
- Weifen Sun
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ziwei Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Shubo Wen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Ao Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
- Department of Forensic Science, Medical School of Soochow University, Suzhou, 215123, China
| | - Hui Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Lei Jiang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China
| | - Qi Feng
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Danlin Fan
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Qilin Tian
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center of Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Dingding Han
- Department of Clinical Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Xiling Liu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, 200063, China.
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3
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Li W, Zheng C, Xu X, Xia Y, Zhang K, Huang A, Zhang X, Zheng Y, Chen G, Zhang S. Combined therapy of dabrafenib and an anti-HER2 antibody-drug conjugate for advanced BRAF-mutant melanoma. Cell Mol Biol Lett 2024; 29:50. [PMID: 38594618 PMCID: PMC11005275 DOI: 10.1186/s11658-024-00555-z] [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: 11/06/2023] [Accepted: 02/26/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Melanoma is the most lethal skin cancer characterized by its high metastatic potential. In the past decade, targeted and immunotherapy have brought revolutionary survival benefits to patients with advanced and metastatic melanoma, but these treatment responses are also heterogeneous and/or do not achieve durable responses. Therefore, novel therapeutic strategies for improving outcomes remain an unmet clinical need. The aim of this study was to evaluate the therapeutic potential and underlying molecular mechanisms of RC48, a novel HER2-target antibody drug conjugate, either alone or in combination with dabrafenib, a V600-mutant BRAF inhibitor, for the treatment of advanced BRAF-mutant cutaneous melanoma. METHODS We evaluated the therapeutic efficacy of RC48, alone or in combination with dabrafenib, in BRAF-mutant cutaneous melanoma cell lines and cell-derived xenograft (CDX) models. We also conducted signaling pathways analysis and global mRNA sequencing to explore mechanisms underlying the synergistic effect of the combination therapy. RESULTS Our results revealed the expression of membrane-localized HER2 in melanoma cells. RC48 effectively targeted and inhibited the growth of HER2-positive human melanoma cell lines and corresponding CDX models. When used RC48 and dabrafenib synergically induced tumor regression together in human BRAF-mutant melanoma cell lines and CDX models. Mechanically, our results demonstrated that the combination therapy induced apoptosis and cell cycle arrest while suppressing cell motility in vitro. Furthermore, global RNA sequencing analysis demonstrated that the combination treatment led to the downregulation of several key signaling pathways, including the PI3K-AKT pathway, MAPK pathway, AMPK pathway, and FOXO pathway. CONCLUSION These findings establish a preclinical foundation for the combined use of an anti-HER2 drug conjugate and a BRAF inhibitor in the treatment of BRAF-mutant cutaneous melanoma.
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Affiliation(s)
- Weisong Li
- Department of General Surgery, First Affiliated Hospital, Gannan Medical University, Ganzhou, 341000, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China
| | - Chao Zheng
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China
| | - Xi Xu
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China
| | - Yujie Xia
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China
| | - Kai Zhang
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China
| | - Ao Huang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Xinyu Zhang
- Department of General Surgery, First Affiliated Hospital, Gannan Medical University, Ganzhou, 341000, China
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China
| | - Yong Zheng
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China.
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China.
| | - Guofang Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
| | - Shuyong Zhang
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases (Ministry of Education), Gannan Medical University, 1 Hexie Road, Rongjiang New District, Ganzhou, 341000, China.
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China.
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4
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Huang A, Huang Y, Yang W, Wang L, You R, Wang J, Yan S, Zhang Q. Fabrication of multifunctional silk nanofibril/hyaluronic acid scaffold for spinal cord repair. Int J Biol Macromol 2024; 263:130287. [PMID: 38373567 DOI: 10.1016/j.ijbiomac.2024.130287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 02/06/2024] [Accepted: 02/16/2024] [Indexed: 02/21/2024]
Abstract
Bioactive scaffolds accurately mimicking the structure and composition of the extracellular matrix have garnered significant interest in tissue engineering. In this study, we developed a platform utilizing natural silk nanofibrils, hyaluronic acid, and basic fibroblast growth factor for the purpose of promoting spinal cord regeneration by creating an optimal microenvironment. The bioactive scaffold exhibited notable characteristics such as high porosity and hydrophilicity, attributed to its unique nanostructure, high connectivity, and polysaccharide composition. Furthermore, the pore size of the scaffold can be adjusted within the range of 90 μm to 120 μm by varying the content of hyaluronic acid. In vitro, human umbilical vein endothelial cells were seeded into the scaffold, demonstrating enhanced cell viability. The scaffold facilitated cell proliferation and migration. In vivo experiments on rats indicated that the scaffold had a beneficial impact on spinal cord regeneration, creating a conducive environment for motor function recovery of the rats. This effect may be attributed to the scaffold's ability to stimulate axon growth and neuronal survival, as well as inhibit the formation of glial scars, as evidenced by the decreased expression of growth associated protein-43, microtubule-associated protein 2, and neurofilament-200. This study presents a promising method to develop a feasible bioscaffold for the treatment of spinal cord injury.
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Affiliation(s)
- Ao Huang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China
| | - Ying Huang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China
| | - Wenjing Yang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China
| | - Lu Wang
- Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, School and Hospital of Stomatology, Shanxi Medical University, Taiyuan 030001, China
| | - Renchuan You
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China
| | - Jiannan Wang
- Key Laboratory of Textile Industry for Silk Products in Medical and Health Use, Soochow University, Suzhou 215123, China
| | - Shuqin Yan
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China; Key Laboratory of Textile Industry for Silk Products in Medical and Health Use, Soochow University, Suzhou 215123, China.
| | - Qiang Zhang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Textile Science and Engineering, Wuhan Textile University, Wuhan 430200, China.
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5
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Emani PS, Liu JJ, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee CY, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken TE, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard JF, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman GE, Huang A, Jiang Y, Jin T, Jorstad NL, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran JR, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan AS, Riesenmy TR, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini KJ, Wamsley B, Wang G, Xia Y, Xiao S, Yang AC, Zheng S, Gandal MJ, Lee D, Lein ES, Roussos P, Sestan N, Weng Z, White KP, Won H, Girgenti MJ, Zhang J, Wang D, Geschwind D, Gerstein M. Single-cell genomics and regulatory networks for 388 human brains. bioRxiv 2024:2024.03.18.585576. [PMID: 38562822 PMCID: PMC10983939 DOI: 10.1101/2024.03.18.585576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet, little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multi-omics datasets into a resource comprising >2.8M nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550K cell-type-specific regulatory elements and >1.4M single-cell expression-quantitative-trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.
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Affiliation(s)
- Prashant S Emani
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Jason J Liu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Declan Clarke
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Matthew Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Jonathan Warrell
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Chirag Gupta
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Ran Meng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Che Yu Lee
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Siwei Xu
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Cagatay Dursun
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Shaoke Lou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Yuhang Chen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Zhiyuan Chu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
| | - Timur Galeev
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Ahyeon Hwang
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
- Mathematical, Computational and Systems Biology, University of California, Irvine, CA, 92697, USA
| | - Yunyang Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
| | - Pengyu Ni
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Xiao Zhou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | | | - Jaroslav Bendl
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Lucy Bicks
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Tanima Chatterjee
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | | | - Yuyan Cheng
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Opthalmology, Perlman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yi Dai
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Ziheng Duan
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | | | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Michael Gancz
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Diego Garrido-Martín
- Department of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona, 08028, Spain
| | - Sophia Gaynor-Gillett
- Tempus Labs, Inc., Chicago, IL, 60654, USA
- Department of Biology, Cornell College, Mount Vernon, IA, 52314, USA
| | - Jennifer Grundman
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Natalie Hawken
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Ella Henry
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Gabriel E Hoffman
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
| | - Ao Huang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
| | - Yunzhe Jiang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Ting Jin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | | | - Riki Kawaguchi
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA, 90095, USA
| | - Saniya Khullar
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Jianyin Liu
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Junhao Liu
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Shuang Liu
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale University, New Haven, CT, 06510, USA
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Michael Margolis
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Samantha Mazariegos
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Jill Moore
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | | | - Eric Nguyen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Nishigandha Phalke
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Milos Pjanic
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Henry Pratt
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Diana Quintero
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | | | - Tiernon R Riesenmy
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
| | - Nicole Shedd
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Manman Shi
- Tempus Labs, Inc., Chicago, IL, 60654, USA
| | | | - Rosemarie Terwilliger
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA
| | | | - Brie Wamsley
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Gaoyuan Wang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Yan Xia
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Shaohua Xiao
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Andrew C Yang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Suchen Zheng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Michael J Gandal
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Donghoon Lee
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, 98109, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale University, New Haven, CT, 06510, USA
| | - Zhiping Weng
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Kevin P White
- Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore
| | - Hyejung Won
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Matthew J Girgenti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT, 06520, USA
- Clinical Neuroscience Division, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Jing Zhang
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Daniel Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
- Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT, 06520, USA
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6
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Huang A, Guo DZ, Zhang X, Sun Y, Zhang SY, Zhang X, Fu XT, Wang YP, Yang GH, Sun QM, He YF, Song K, Huang XW, Yang XR, Liu WR, Ding ZB, Shi YH, Fan J, Zhou J. Serial circulating tumor DNA profiling predicts tumor recurrence after liver transplantation for liver cancer. Hepatol Int 2024; 18:254-264. [PMID: 37980313 DOI: 10.1007/s12072-023-10594-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/04/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Minimal residual disease (MRD) is proposed to be responsible for tumor recurrence. The role of circulating tumor DNA (ctDNA) to detect MRD, monitor recurrence, and predict prognosis in liver cancer patients undergoing liver transplantation (LT) remains unrevealed. METHODS Serial blood samples were collected to profile ctDNA mutational changes. Baseline ctDNA mutational profiles were compared with those of matched tumor tissues. Correlations between ctDNA status and recurrence rate (RR) and recurrence-free survival (RFS) were analyzed, respectively. Dynamic change of ctDNA was monitored to predict tumor recurrence. RESULTS Baseline mutational profiles of ctDNA were highly concordant with those of tumor tissues (median, 89.85%; range 46.2-100%) in the 74 patients. Before LT, positive ctDNA status was associated with higher RR (31.7% vs 11.5%; p = 0.001) and shorter RFS than negative ctDNA status (17.8 vs 19.4 months; p = 0.019). After LT, the percentage of ctDNA positivity decreased (17.6% vs 47.0%; p < 0.001) and patients with positive ctDNA status had higher RR (46.2% vs 21.3%; p < 0.001) and shorter RFS (17.2 vs 19.2 months; p = 0.010). Serial ctDNA profiling demonstrated patients with decreased or constant negative ctDNA status had lower RR (33.3% vs 50.0%; p = 0.015) and favorable RFS (18.2 vs 15.0 months, p = 0.003) than those with increased or constant positive ctDNA status. Serial ctDNA profiling predicted recurrence months ahead of imaging evidence and serum tumor biomarkers. CONCLUSIONS ctDNA could effectively detect MRD and predict tumor recurrence in liver cancer patients undergone LT.
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Affiliation(s)
- Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xuan Zhang
- Key Laboratory of Clinical in Vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, 310030, China
- GenomiCare Biotechnology (Shanghai) Co., Ltd., 5th Floor, Building #2, No. 111 Xiangke Road, Shanghai, 201210, China
| | - Ying Sun
- GenomiCare Biotechnology (Shanghai) Co., Ltd., 5th Floor, Building #2, No. 111 Xiangke Road, Shanghai, 201210, China
| | - Shi-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xiu-Tao Fu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yu-Peng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Guo-Huan Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Qi-Man Sun
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yi-Feng He
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Kang Song
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xiao-Wu Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xin-Rong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Wei-Ren Liu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Zhen-Bin Ding
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, 200031, China
| | - Ying-Hong Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Institute of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200032, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, 200031, China.
- Institute of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200032, China.
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7
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Tang M, Yin S, Zeng H, Huang A, Huang Y, Hu Z, Shah AR, Zhang S, Li H, Chen G. The P286R mutation of DNA polymerase ε activates cancer-cell-intrinsic immunity and suppresses endometrial tumorigenesis via the cGAS-STING pathway. Cell Death Dis 2024; 15:69. [PMID: 38238314 PMCID: PMC10796917 DOI: 10.1038/s41419-023-06418-3] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 12/15/2023] [Accepted: 12/22/2023] [Indexed: 01/22/2024]
Abstract
Endometrial carcinoma (EC) is a prevalent gynecological tumor in women, and its treatment and prevention are significant global health concerns. The mutations in DNA polymerase ε (POLE) are recognized as key features of EC and may confer survival benefits in endometrial cancer patients undergoing anti-PD-1/PD-L1 therapy. However, the anti-tumor mechanism of POLE mutations remains largely elusive. This study demonstrates that the hot POLE P286R mutation impedes endometrial tumorigenesis by inducing DNA breakage and activating the cGAS-STING signaling pathway. The POLE mutations were found to inhibit the proliferation and stemness of primary human EC cells. Mechanistically, the POLE mutants enhance DNA damage and suppress its repair through the interaction with DNA repair proteins, leading to genomic instability and the upregulation of cytoplasmic DNA. Additionally, the POLE P286R mutant also increases cGAS level, promotes TBK1 phosphorylation, and stimulates inflammatory gene expression and anti-tumor immune response. Furthermore, the POLE P286R mutation inhibits tumor growth and facilitates the infiltration of cytotoxic T cells in human endometrial cancers. These findings uncover a novel mechanism of POLE mutations in antagonizing tumorigenesis and provide a promising direction for effective cancer therapy.
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Affiliation(s)
- Ming Tang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Shasha Yin
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
- Department of Biochemistry and Molecular Biology, Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Hongliang Zeng
- Center of Medical Laboratory Animal, Hunan Academy of Chinese Medicine, Changsha, 410013, China
| | - Ao Huang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
- Center of Medical Laboratory Animal, Hunan Academy of Chinese Medicine, Changsha, 410013, China
| | - Yujia Huang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Zhiyi Hu
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China
| | - Ab Rauf Shah
- Department of Pathology and Microbiology, UNMC, Omaha, USA
| | - Shuyong Zhang
- Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Gannan Medical University, Ministry of Education, Ganzhou, 341000, China.
- School of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China.
| | - Haisen Li
- School of Life Sciences, Fudan University, Shanghai, 200438, China.
- AoBio Medical Co., Shanghai, 200438, China.
| | - Guofang Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
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8
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Huang A, Wen SB, Kong QQ, Zhao ZM, Liu XL. Proteomic Difference Analysis of Whole Blood and Bloodstains. Fa Yi Xue Za Zhi 2023; 39:549-556. [PMID: 38228473 DOI: 10.12116/j.issn.1004-5619.2022.521204] [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] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
OBJECTIVES To study the changes of protein levels in peripheral blood after it dried. METHODS The proteins from whole blood and bloodstains were detected by liquid chromatography-tandem mass spectrometry (LC-MS/MS) and normalized by the label-free quantification (LFQ) method. The differential proteins were analyzed by using R 4.2.1 software, limma and edgeR package. The analysis of biological function, signaling pathway and subcellular localization for the differential proteins was then performed. RESULTS A total of 623 and 596 proteins were detected in whole blood and bloodstains, respectively, of which 31 were statistically significant in the quantitative results, including 10 up-regulated and 21 down-regulated proteins in bloodstains. CONCLUSIONS The protein abundances in whole blood and bloodstains are highly correlated, and the variation of protein abundances may be related to the changes of endogenous and structural proteins in cells. The application of proteomics technology can assist the screening and identification of protein biomarkers, thereby introducing new biomarkers for forensic research.
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Affiliation(s)
- Ao Huang
- School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, Jiangsu Province, China
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Shu-Bo Wen
- School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, Jiangsu Province, China
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Qian-Qian Kong
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Zhen-Min Zhao
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Xi-Ling Liu
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
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9
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Schumacher K, Aridgides PD, Gossett J, Kang G, Huang A, Merchant TE, Mazewski C. Outcomes Following Radiation Therapy (RT) for Very Young Age CNS Embryonal Tumors on COG ACNS0334 According to Molecular-Confirmed Diagnosis. Int J Radiat Oncol Biol Phys 2023; 117:S76. [PMID: 37784570 DOI: 10.1016/j.ijrobp.2023.06.390] [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 outcomes of upfront or relapse radiation therapy (RT) for the Children's Oncology Group ACNS0334 protocol based on molecular diagnosis were assessed. Therapy included maximal safe surgery, high-dose chemotherapy with stem cell rescue, randomization for inclusion of high dose methotrexate (MTX) and optional RT. MATERIALS/METHODS There were 24 patients that received RT on COG ACNS0334 of 77 evaluable patients with a diagnosis of either high-risk medulloblastoma (MB) or supratentorial primitive neuroectodermal tumor (SPNET). RT was a recommendation (M0: Focal, M+: CSI 18 Gy) given young patient age <36 months at enrollment. Seven RT patients were excluded for ineligible pathology (1 ATRT, 1 HGG) or insufficient tissue. The aim of this report is to review outcomes of 17 patients on ACNS0334 receiving RT (8 Upfront, 9 at relapse) with a molecular diagnosis that included MB, Pineoblastoma (PB), or Embryonal tumor with multilayered rosettes (ETMR). RESULTS In the MB group, there were 9 patients irradiated with MB (Group 3 = 8, SHH = 1). 5-year OS for MB Group 3 receiving RT (median primary dose 54 Gy) was 62.5% with no difference observed comparing 6 patients treated with upfront RT versus 2 treated at relapse (p = 0.27). All upfront RT for MB Group 3 had initial partial response (PR) to 0334 chemotherapy. RT delivery for upfront RT MB Group 3 included craniospinal radiation (CSI) in 5 patients and 1 patient who received focal RT to the primary (50 Gy) and metastatic site (44 Gy). Eighty percent of CSI for upfront RT in Group 3 was 18 Gy or 23.4 Gy. Relapse RT for MB Group 3 (2 patients) utilized full dose CSI (36 Gy, 39.6 Gy) and both patients are survivors with 5+ years follow-up. CSI dose for Group 3 MB was higher for relapse RT (mean 37.8 Gy) as compared to upfront RT (mean 19.8 Gy, p = 0.013). Use of MTX was 50% in both upfront RT and relapse RT Group 3 MB cohorts. One patient with MB SHH (classic histology) underwent upfront focal RT (54 Gy) after initial PR to systemic therapy (without MTX) and is surviving 5+ years. PB: Of 4 PB patients (median primary dose 48.8 Gy) 1 had RT upfront (CSI 18 Gy) and 3 had RT at relapse (1 patient received CSI, 21 Gy). All patients with PB expired within 2 years. MTX was given in 75% (including 1 upfront RT PB). Two of 3 patients treated at relapse had prior complete response (CR). ETMR: All 4 patients (median primary dose 54 Gy) with ETMR were treated at relapse, with CSI given in 1 patient (23.4 Gy). All patients with ETMR expired within 2 years, and 2 (50%) had received MTX. Two patients (50%) had initial CR. CONCLUSION The RT cohort for Group 3 MB on ACNS0334 exhibited long-term survival both for both upfront and relapse RT, however relapsed Group 3 MB received higher dose CSI. RT upfront for MB, including one surviving MB SHH patient receiving focal RT, was solely given for incomplete initial chemotherapy response. There were no survivors for either PB or ETMR when the majority (88%) were treated at relapse.
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Affiliation(s)
| | | | - J Gossett
- St Jude Childrens Research Hospital, Memphis, TN
| | - G Kang
- St. Jude Children's Research Hospital, Memphis, TN
| | - A Huang
- Division of Haematology/Oncology, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - T E Merchant
- Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN
| | - C Mazewski
- Emory University School of Medicine, Atlanta, GA
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10
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Gao Z, Li XG, Feng SR, Chen JF, Song K, Shi YH, Tang Z, Liu WR, Zhang X, Huang A, Luo XM, Zeng HY, Gao Q, Shi GM, Ke AW, Zhou J, Fan J, Fu XT, Ding ZB. Autophagy suppression facilitates macrophage M2 polarization via increased instability of NF-κB pathway in hepatocellular carcinoma. Int Immunopharmacol 2023; 123:110685. [PMID: 37494837 DOI: 10.1016/j.intimp.2023.110685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/28/2023]
Abstract
The tumor microenvironment is a highly heterogeneous circumstance composed of multiple components, while tumor-associated macrophages (TAMs) are major innate immune cells with highly plastic and are always educated by tumor cells to structure an advantageous pro-tumor immune microenvironment. Despite emerging evidence focalizing the role of autophagy in other immune cells, the regulatory mechanism of autophagy in macrophage polarization remains poorly understood. Herein, we demonstrated that hepatocellular carcinoma (HCC) cells educated macrophages toward M2-like phenotype polarization under the condition of coculture. Moreover, we observed that inhibition of macrophage autophagy promoted M2-like macrophage polarization, while the tendency was impeded when autophagy was motivated. Mechanistically, macrophage autophagy inhibition inactivates the NF-κB pathway by increasing the instability of TAB3 via ubiquitination degradation, which leads to the M2-like phenotype polarization of macrophages. Both immunohistochemistry staining using human HCC tissues and experiment in vivo verified autophagy inhibition is correlated with M2 macrophage polarization. Altogether, we illustrated that macrophage autophagy was involved in the process of HCC cells domesticating M2 macrophage polarization via the NF-κB pathway. These results provide a new target to interfere with the polarization of macrophages to M2-like phenotype during HCC progression.
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Affiliation(s)
- Zheng Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Xiao-Gang Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Shan-Ru Feng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Jia-Feng Chen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Kang Song
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Ying-Hong Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Zheng Tang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Wei-Ren Liu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Xuan-Ming Luo
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
| | - Hai-Ying Zeng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Guo-Ming Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Ai-Wu Ke
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
| | - Xiu-Tao Fu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China.
| | - Zhen-Bin Ding
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China; Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China; Department of liver Surgery, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China.
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11
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Huang A, Li T, Li MS, Huang ZX, Wang DH, Cheng L, Zhou B, Wang H, Liu Z. Association of Comorbid Asthma and the Efficacy of Bioabsorbable Steroid-eluting Sinus Stents Implanted After Endoscopic Sinus Surgery in Patients with Chronic Rhinosinusitis with Nasal Polyps. Curr Med Sci 2023; 43:1005-1012. [PMID: 37828371 DOI: 10.1007/s11596-023-2786-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/03/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVE To identify factors affecting the efficacy of steroid-eluting sinus stents implanted after endoscopic sinus surgery (ESS) in patients with chronic rhinosinusitis with nasal polyps (CRSwNP). METHODS We performed a post-hoc analysis of a randomized self-controlled clinical trial on post-operative implantation of bioabsorbable steroid-eluting stents in patients with CRSwNP. Univariate logistic regression analysis was conducted to identify which of the following factors affect the response to post-operative stent implantation: sex, serum eosinophil levels, history of prior surgery, endoscopic scores, and comorbid conditions (asthma and allergic rhinitis). The primary outcome was the rate of post-operative intervention on day 30, and the secondary outcome was the rate of polypoid tissue formation (grades 2-3) on days 14, 30, and 90. RESULTS A total of 151 patients with CRSwNP were included in the post-hoc analysis. Asthma was identified as the only risk factor for a poor response to steroid-eluting sinus stents on post-operative day 30, with an odds ratio of 23.71 (95% CI, 2.81, 200.16; P=0.004) for the need for post-operative intervention and 19 (95% CI, 2.20, 164.16; P=0.003) for moderate-to-severe polypoid tissue formation. In addition, the asthmatic group showed higher rates of post-operative intervention and polypoid tissue formation than the non-asthmatic group on post-operative day 30. Blood eosinophil levels were not identified as a risk factor for poor outcomes after stent implantation. CONCLUSION Comorbid asthma, but not blood eosinophil level, impairs the efficacy of steroid-eluting sinus stents in the short term after ESS in patients with CRSwNP.
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Affiliation(s)
- Ao Huang
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, 430030, China
| | - Tao Li
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, 430030, China
| | - Min-Shan Li
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, 430030, China
| | - Zhen-Xiao Huang
- Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100000, China
| | - De-Hui Wang
- Department of Otolaryngology-Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200000, China
| | - Lei Cheng
- Department of Otorhinolaryngology & Clinical Allergy Center, The First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Bing Zhou
- Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100000, China.
| | - Heng Wang
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, 430030, China.
| | - Zheng Liu
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, 430030, China.
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12
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Tang XY, Xie J, Qin Y, Liu H, Cheng F, Zhang HC, He D, Li JY, Huang A, Lao J, Chen L, Tang L, Zhou RR, Zeng HL, Zhang SH. Proteomic analysis reveals that Polygonatum cyrtonema Hua polysaccharide ameliorates mice muscle atrophy in chemotherapy-induced cachexia. J Pharm Biomed Anal 2023; 234:115533. [PMID: 37336040 DOI: 10.1016/j.jpba.2023.115533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 06/10/2023] [Accepted: 06/13/2023] [Indexed: 06/21/2023]
Abstract
Polygonatum cyrtonema Hua polysaccharide (PCP) is the main bioactive compound derived from the herb Polygonati Rhizoma, known for its anti-fatigue, antioxidant, immunomodulatory, and anti-inflammatory properties. However, its effectiveness on alleviating chemotherapy-induced muscle atrophy has been unclear. In this study, we utilized proteomic analysis to investigate the effects and mechanisms of PCP on gemcitabine plus cisplatin (GC) induced muscle atrophy in mice. Quality control analysis revealed that the functional PCP, rich in glucose, is a heterogeneous polysaccharide comprised of nine monosaccharides. PCP (64 mg/kg) significantly alleviated body muscle, organ weight loss, and muscle fiber atrophy in chemotherapy-induced cachectic mice. Moreover, PCP suppressed the decrease in serum immunoglobulin levels and the increase in pro-inflammatory factor interleukin-6 (IL-6). Proteomic analysis demonstrated that PCP contributed to the homeostasis of protein metabolism in gastrocnemius muscle. Diacylglycerol kinase (DGKζ) and cathepsin L (CTSL) were identified as primary PCP targets. Furthermore, the IL-6/STAT3/CTSL and DGKζ/FoxO/Atrogin1 signaling pathways were validated. Our findings suggest that PCP exerts an anti-atrophy effect on chemotherapy-induced muscle atrophy by regulating the autophagy-lysosome and ubiquitin-proteasome systems.
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Affiliation(s)
- Xue-Yang Tang
- Institute of Innovation and Applied Research in Chinses Medicine, Hunan University of Chinese Medicine, Changsha 410208, PR China; Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China
| | - Jing Xie
- Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China
| | - You Qin
- Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China
| | - Hao Liu
- Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China
| | - Fei Cheng
- Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China
| | - Hai-Chao Zhang
- Hunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410016, PR China
| | - Dan He
- Hunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410016, PR China
| | - Jia-Yu Li
- Changsha Hospital of Traditional Chinese Medicine (Changsha Eighth Hospital), Changsha 410199, PR China
| | - Ao Huang
- Hunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410016, PR China
| | - Jia Lao
- Resgreen Group International Inc., Changsha 410329, PR China
| | - Lin Chen
- Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China
| | - Lin Tang
- The First Hospital, Hunan University of Chinese Medicine, Changsha 410021, PR China
| | - Rong-Rong Zhou
- The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, Changsha 410016, PR China.
| | - Hong-Liang Zeng
- Center of Medical Laboratory Animal, Hunan Academy of Chinese Medicine, Changsha 410013, PR China.
| | - Shui-Han Zhang
- Institute of Innovation and Applied Research in Chinses Medicine, Hunan University of Chinese Medicine, Changsha 410208, PR China; Institute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, PR China.
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13
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Shum S, Huang A, Slinger P. Hypoxaemia during one lung ventilation. BJA Educ 2023; 23:328-336. [PMID: 37600211 PMCID: PMC10435364 DOI: 10.1016/j.bjae.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2023] [Indexed: 08/22/2023] Open
Affiliation(s)
- S. Shum
- Toronto General Hospital, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - A. Huang
- Toronto General Hospital, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - P. Slinger
- Toronto General Hospital, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
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14
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Huang A, Morikawa K, Friede T, Hattori S. Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries. Biometrics 2023; 79:2089-2102. [PMID: 36602873 DOI: 10.1111/biom.13822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/15/2022] [Indexed: 01/06/2023]
Abstract
Publication bias is a major concern in conducting systematic reviews and meta-analyses. Various sensitivity analysis or bias-correction methods have been developed based on selection models, and they have some advantages over the widely used trim-and-fill bias-correction method. However, likelihood methods based on selection models may have difficulty in obtaining precise estimates and reasonable confidence intervals, or require a rather complicated sensitivity analysis process. Herein, we develop a simple publication bias adjustment method by utilizing the information on conducted but still unpublished trials from clinical trial registries. We introduce an estimating equation for parameter estimation in the selection function by regarding the publication bias issue as a missing data problem under the missing not at random assumption. With the estimated selection function, we introduce the inverse probability weighting (IPW) method to estimate the overall mean across studies. Furthermore, the IPW versions of heterogeneity measures such as the between-study variance and the I2 measure are proposed. We propose methods to construct confidence intervals based on asymptotic normal approximation as well as on parametric bootstrap. Through numerical experiments, we observed that the estimators successfully eliminated bias, and the confidence intervals had empirical coverage probabilities close to the nominal level. On the other hand, the confidence interval based on asymptotic normal approximation is much wider in some scenarios than the bootstrap confidence interval. Therefore, the latter is recommended for practical use.
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Affiliation(s)
- Ao Huang
- Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kosuke Morikawa
- Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, Japan
| | - Tim Friede
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Satoshi Hattori
- Department of Biomedical Statistics, Graduate School of Medicine, Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary ResearchInitiatives (OTRI), Osaka University, Suita City, Osaka, Japan
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15
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Li X, Gao Z, Chen J, Feng S, Luo X, Shi Y, Tang Z, Liu W, Zhang X, Huang A, Gao Q, Ke A, Zhou J, Fan J, Fu X, Ding Z. Integrated single cell and bulk sequencing analysis identifies tumor reactive CXCR6 + CD8 T cells as a predictor of immune infiltration and immunotherapy outcomes in hepatocellular carcinoma. Front Oncol 2023; 13:1099385. [PMID: 37593098 PMCID: PMC10430781 DOI: 10.3389/fonc.2023.1099385] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 06/30/2023] [Indexed: 08/19/2023] Open
Abstract
Background Various immune cell types in the tumor microenvironment (TME) of hepatocellular carcinoma (HCC) have been identified as important parameters associated with prognosis and responsiveness to immunotherapy. However, how various factors influence immune cell infiltration remains incompletely understood. Hence, we investigated the single cell multi-omics landscape of immune infiltration in HCC, particularly key gene and cell subsets that influence immune infiltration, thus potentially linking the immunotherapy response and immune cell infiltration. Methods We grouped patients with HCC according to immune cell infiltration scores calculated by single sample gene set enrichment analysis (ssGSEA). Differential expression analysis, functional enrichment, clinical trait association, gene mutation analysis, tumor immune dysfunction and exclusion (TIDE) and prognostic model construction were used to investigate the immune infiltration landscape through multi-omics. Stepwise regression was further used to identify key genes regulating immune infiltration. Single cell analysis was performed to explore expression patterns of candidate genes and investigate associated cellular populations. Correlation analysis, ROC analysis, Immunotherapy cohorts were used to explore and confirm the role of key gene and cellular population in predicting immune infiltration state and immunotherapy response. Immunohistochemistry and multiplexed fluorescence staining were used to further validated our results. Results Patients with HCC were clustered into high and low immune infiltration groups. Mutations of CTNNB1 and TTN were significantly associated with immune infiltration and altered enrichment of cell populations in the TME. TIDE analysis demonstrated that T cell dysfunction and the T cell exclusion score were elevated in the high and low infiltration groups, respectively. Six risk genes and five risk immune cell types were identified and used to construct risk scores and a nomogram model. CXCR6 and LTA, identified by stepwise regression, were highly associated with immune infiltration. Single cell analysis revealed that LTA was expressed primarily in tumor infiltrating T lymphocytes and partial B lymphocytes, whereas CXCR6 was enriched predominantly in T and NK cells. Notably, CXCR6+ CD8 T cells were characterized as tumor enriched cells that may be potential predictors of high immune infiltration and the immune-checkpoint blockade response, and may serve as therapeutic targets. Conclusion We constructed a comprehensive single cell and multi-omics landscape of immune infiltration in HCC, and delineated key genes and cellular populations regulating immune infiltration and immunotherapy response, thus providing insights into the mechanisms of immune infiltration and future therapeutic control.
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Affiliation(s)
- Xiaogang Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Zheng Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Jiafeng Chen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Shanru Feng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Xuanming Luo
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
| | - Yinghong Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Zheng Tang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Weiren Liu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Aiwu Ke
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Xiutao Fu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
| | - Zhenbin Ding
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Chinese Ministry of Education, Shanghai, China
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
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16
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Wu L, Yan J, Bai Y, Chen F, Zou X, Xu J, Huang A, Hou L, Zhong Y, Jing Z, Yu Q, Zhou X, Jiang Z, Wang C, Cheng M, Ji Y, Hou Y, Luo R, Li Q, Wu L, Cheng J, Wang P, Guo D, Huang W, Lei J, Liu S, Yan Y, Chen Y, Liao S, Li Y, Sun H, Yao N, Zhang X, Zhang S, Chen X, Yu Y, Li Y, Liu F, Wang Z, Zhou S, Yang H, Yang S, Xu X, Liu L, Gao Q, Tang Z, Wang X, Wang J, Fan J, Liu S, Yang X, Chen A, Zhou J. An invasive zone in human liver cancer identified by Stereo-seq promotes hepatocyte-tumor cell crosstalk, local immunosuppression and tumor progression. Cell Res 2023; 33:585-603. [PMID: 37337030 PMCID: PMC10397313 DOI: 10.1038/s41422-023-00831-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/22/2023] [Indexed: 06/21/2023] Open
Abstract
Dissecting and understanding the cancer ecosystem, especially that around the tumor margins, which have strong implications for tumor cell infiltration and invasion, are essential for exploring the mechanisms of tumor metastasis and developing effective new treatments. Using a novel tumor border scanning and digitization model enabled by nanoscale resolution-SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq), we identified a 500 µm-wide zone centered around the tumor border in patients with liver cancer, referred to as "the invasive zone". We detected strong immunosuppression, metabolic reprogramming, and severely damaged hepatocytes in this zone. We also identified a subpopulation of damaged hepatocytes with increased expression of serum amyloid A1 and A2 (referred to collectively as SAAs) located close to the border on the paratumor side. Overexpression of CXCL6 in adjacent malignant cells could induce activation of the JAK-STAT3 pathway in nearby hepatocytes, which subsequently caused SAAs' overexpression in these hepatocytes. Furthermore, overexpression and secretion of SAAs by hepatocytes in the invasive zone could lead to the recruitment of macrophages and M2 polarization, further promoting local immunosuppression, potentially resulting in tumor progression. Clinical association analysis in additional five independent cohorts of patients with primary and secondary liver cancer (n = 423) showed that patients with overexpression of SAAs in the invasive zone had a worse prognosis. Further in vivo experiments using mouse liver tumor models in situ confirmed that the knockdown of genes encoding SAAs in hepatocytes decreased macrophage accumulation around the tumor border and delayed tumor growth. The identification and characterization of a novel invasive zone in human cancer patients not only add an important layer of understanding regarding the mechanisms of tumor invasion and metastasis, but may also pave the way for developing novel therapeutic strategies for advanced liver cancer and other solid tumors.
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Affiliation(s)
- Liang Wu
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- BGI-Southwest, BGI-Shenzhen, Chongqing, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Jiayan Yan
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Yinqi Bai
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- BGI-Hangzhou, Hangzhou, Zhejiang, China
| | - Feiyu Chen
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xuanxuan Zou
- BGI-Southwest, BGI-Shenzhen, Chongqing, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jiangshan Xu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Ao Huang
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Liangzhen Hou
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yu Zhong
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Zehua Jing
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Qichao Yu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiaorui Zhou
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Zhifeng Jiang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Chunqing Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Mengnan Cheng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Ji
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Rongkui Luo
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qinqin Li
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Wu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jianwen Cheng
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Pengxiang Wang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Dezhen Guo
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Waidong Huang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Junjie Lei
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Shang Liu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Yizhen Yan
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Yiling Chen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Sha Liao
- BGI-Southwest, BGI-Shenzhen, Chongqing, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Yuxiang Li
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Haixiang Sun
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Na Yao
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xiangyu Zhang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Shiyu Zhang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xi Chen
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Yang Yu
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Yao Li
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Fengming Liu
- National Facility for Protein Science in Shanghai, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
| | - Zheng Wang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Shaolai Zhou
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Huanming Yang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Shuang Yang
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xun Xu
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen, Guangdong, China
| | - Longqi Liu
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- BGI-Hangzhou, Hangzhou, Zhejiang, China
| | - Qiang Gao
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Zhaoyou Tang
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xiangdong Wang
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Wang
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
- James D. Watson Institute of Genome Science, Hangzhou, Zhejiang, China
| | - Jia Fan
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Shiping Liu
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China.
- Shenzhen Key Laboratory of Single-Cell Omics, BGI-Shenzhen, Shenzhen, Guangdong, China.
| | - Xinrong Yang
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
| | - Ao Chen
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
- BGI-Southwest, BGI-Shenzhen, Chongqing, China.
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China.
- JFL-BGI STOmics Center, Jinfeng Laboratory, Chongqing, China.
| | - Jian Zhou
- Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China.
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Huang A, Xiao G, Chen Y, Hu Z, Lee PH, Huang Y, Zhuang Z, Zhang Y, Qing P, Zhao C. Ziwuliuzhu Acupuncture Modulates Clock mRNA, Bmal1 mRNA and Melatonin in Insomnia Rats. J Acupunct Meridian Stud 2023; 16:109-118. [PMID: 37381033 DOI: 10.51507/j.jams.2023.16.3.109] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 02/17/2023] [Accepted: 05/24/2023] [Indexed: 06/30/2023] Open
Abstract
Background In clinics, Ziwuliuzhu acupuncture is widely considered an effective method of treating insomnia; however, there is currently limited information available regarding its possible mechanisms. Although the method of Ziwuliuzhu acupuncture possesses a unique rhythmic pattern. Objectives In this study, we have creatively combined the traditional Chinese medicine of Ziwuliuzhu with a modern biological rhythm to investigate the internal mechanism of insomnia. Methods Pathological tissue from the hypothalamus was analyzed using hematoxylin-eosin staining. The level of TNF (tumor necrosis factor)-α in the SCN (suprachiasmatic nucleus) area of the hypothalamus was detected in situ using the TUNEL fluorescence staining assay. The concentration of hypothalamic melatonin was detected using the enzyme-linked immunosorbent assay (ELISA). The mRNA expression of Clock and Bmal1 was measured using RT-qPCR. Results In the Ziwuliuzhu acupuncture groups, the structural damage in the hypothalamic neurons was alleviated compared to the model group and the expression of inflammatory factors was reduced. The mRNA expression levels of Clock and Bmal1 were significantly increased (p < 0.05). The concentration of melatonin was significantly increased (p < 0.001). Although there were no significant differences between the treatment groups (diazepam group, Nazi group, Najia group, and routine group) (p > 0.05). Conclusion Ziwuliuzhu acupuncture alleviated neuronal damage and modulated the inflammatory reaction in the hypothalamus of rats with insomnia. Moreover, Ziwuliuzhu acupuncture increased the expression levels of Clock and Bmal1 mRNA, and MT content. This study has potentially highlighted one of the mechanisms through which Ziwuliuzhu acupuncture can be used to treat insomnia.
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Affiliation(s)
- Ao Huang
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Gefang Xiao
- Department of Acupuncture, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Yiliu Chen
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Zuying Hu
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Pin-Hsuan Lee
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Yusen Huang
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Zifeng Zhuang
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Yuling Zhang
- Department of Acupuncture, School of Traditional Chinese Medicine, Jinan University, Guangzhou, China
| | - Peng Qing
- Department of Acupuncture, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Canghuan Zhao
- Department of Acupuncture, The First Affiliated Hospital, Jinan University, Guangzhou, China
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18
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Zhang SY, Guo DZ, Zhang X, Fan J, Zhou J, Huang A. Prognosis of spontaneously ruptured hepatocellular carcinoma: a propensity score matching study. J Cancer Res Clin Oncol 2023:10.1007/s00432-023-04774-3. [PMID: 37154926 DOI: 10.1007/s00432-023-04774-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 04/10/2023] [Indexed: 05/10/2023]
Abstract
PURPOSE Spontaneous rupture is a fatal complication of hepatocellular carcinoma (HCC). This study compared the prognosis of spontaneously ruptured HCC (srHCC) with that of non-ruptured HCC (nrHCC). METHODS A total of 185 srHCC patients and 1085 nrHCC patients treated by hepatectomy between February 2005 and December 2017 at Zhongshan Hospital were retrospectively reviewed and enrolled. The overall survival (OS) and time to recurrence (TTR) were evaluated. A 1:2 propensity score matching (PSM) analysis was performed using the nearest neighbor matching with a caliper of 0.2. RESULTS Before PSM, patients with srHCC who underwent hepatectomy (n = 185) had a poorer prognosis than those with nrHCC (n = 1085; 5-year OS, 39.1% vs 59.2%, P < 0.001; 5-year TTR, 83.8% vs 54.9%, P < 0.001). After PSM, patients with srHCC (n = 156) had higher 5-year TTR (83.2% vs 69.0%, P < 0.001) but comparable 5-year OS with those with nrHCC (n = 312, 44.0% vs 46.0%, P = 0.600). Univariate and multivariate analyses demonstrated spontaneous rupture as an independent risk factor for TTR (hazard ratio [HR], 1.681; 95% confidence interval [CI] 1.326-2.132; P < 0.001), but not for OS (HR: 1.074; 95% CI 0.823-1.401; P = 0.600). Further analysis revealed that srHCC was not appropriate to be assigned as T4 stage in American Joint Committee on Cancer classification. CONCLUSION Spontaneous rupture of HCC is not a risk factor for survival. If resected eventually, srHCC may achieve comparable survival with nrHCC.
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Affiliation(s)
- Shi-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Institute of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, 200032, China.
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Institute of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200032, China.
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, 200032, China.
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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Wang Y, Huang A, Guo D, Wang J, Chen F, Sun H, Qiu S, Zhang S, Cao Y, Yang X, Zhou J. Evaluating prognostic value of biliary stone in intrahepatic cholangiocarcinoma by propensity score matching analysis. J Cancer 2023; 14:1257-1271. [PMID: 37215452 PMCID: PMC10197931 DOI: 10.7150/jca.74275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 04/23/2023] [Indexed: 05/24/2023] Open
Abstract
Background: To explore biliary tract stone (BTS) as prognostic factors of intrahepatic cholangiocarcinoma (ICC). Methods: Clinical data of 985 ICC patients were classified into no BTS group and BTS group-subgrouped into hepatolithiasis (HL) and non-hepatolithiasis (NHL) group. Propensity score matching was utilized to mitigate baseline characteristics. Preoperative peripheral inflammation parameters (PPIP) were further investigated. Immunostaining of CD3, CD4, CD8, CD68, PD1 and PD-L1 were conducted. Results: Overall survival (OS) of patients without BTS surpassed BTS group (P = 0.040) while no difference of time to recurrence (TTR) was observed (P = 0.146). HL group had shorter OS and TTR than HL-matched group (P < 0.001 and P = 0.017, respectively) and survival time of NHL group differed not with NHL-matched group (P > 0.05). PPIP like neutrophils to lymphocytes ratio (NLR), platelet to lymphocyte ratio (PLR) and systemic immune inflammation (SII) of HL group exceeded no BTS group or NHL group (all P < 0.05). Associations of PPIP and tumorous immunocytes differed vastly among HL group, NHL group and no BTS group. Tumorous CD4+/CD3+ ratio and PD1+/CD3+ ratio of HL group surpassed those in no BTS group (P = 0.036 and P < 0.001, respectively) and NHL group (P = 0.015 and 0.002, respectively). Para-tumorous CD68+ macrophages exceeded that in tumor samples of HL group (P < 0.001). No difference of CD8+/CD3+ lymphocyte ratio and PD-L1 rank were detected. Conclusions: Hepatolithiasis, rather than extra-hepatic biliary stone, is a poor prognostic indicator of ICC. Immunotherapy is promising in treating HL-related ICC.
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Affiliation(s)
- Yupeng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Dezhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Jian Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Feiyu Chen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Huichuan Sun
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Shuangjian Qiu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Sunyue Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Ya Cao
- Cancer Research Institute, Central South University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Changsha, 410078, China
| | - Xinrong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, 200437, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Fudan University, Shanghai, 200437, China
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Luo ZW, Huang A, Deng Y, Huang J, Bu ZQ, Xie HL. Highly Efficient Wavelength-Tunable Circularly Polarized Luminescence Film Constructed by Responsive Chiral Aggregation-induced Emission Luminophore. Chemistry 2023:e202300498. [PMID: 36988020 DOI: 10.1002/chem.202300498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/25/2023] [Accepted: 03/27/2023] [Indexed: 03/30/2023]
Abstract
Circularly polarized luminescent (CPL) materials with multitudinous inherent advantages shows extensive application. In this work, we prepare a kind of highly efficient wavelength-tunable CPL free-standing films by responsive chiral aggregation-induced emission mesogen. Firstly, the pyridine-functionalized tetraphenylethene monomer (MPy) is designed and synthesized. Then, the different ration of the monomer MPy mixed with the liquid crystal (LC) reactive monomer (LC242) to fabricate a free-standing film by photopolymerization. The obtained film presents efficient CPL with a constant luminescence asymmetry factor (glum) of +0.75, as well as sensitive wavelength tunability. Finally, this wavelength-tunable CPL film with both fluorescence and CPL modes is successfully applied in anti-counterfeiting and information encryption. This work provides a simple way to construct CPL apparatus with adjustable luminescence wavelength and high glum.
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Affiliation(s)
- Zhi-Wang Luo
- Xiangtan University, College of Chemistry, CHINA
| | - Ao Huang
- Xiangtan University, College of Chemistry, CHINA
| | - Yuan Deng
- Xiangtan University, College of Chemistry, CHINA
| | - Jiang Huang
- Xiangtan University, College of Chemistry, CHINA
| | - Zhen-Qing Bu
- Xiangtan University, College of Chemistry, CHILE
| | - He-Lou Xie
- Xiangtan University, College of Chemistry, College of Chemistry, Xiangtan University, Xiangtan Hunan, 411105, China, 411105, Xiangtan, CHINA
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Gao Z, Feng SR, Chen JF, Li XG, Shi YH, Tang Z, Liu WR, Zhang X, Huang A, Luo XM, Zeng HY, Gao Q, Shi GM, Ke AW, Zhou J, Fan J, Fu XT, Ding ZB. Inhibition of autophagy in macrophage promotes IL-1β-mediated hepatocellular carcinoma progression via inflammasome accumulation and self-recruitment. Biomed Pharmacother 2023; 161:114560. [PMID: 36940618 DOI: 10.1016/j.biopha.2023.114560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/15/2023] [Accepted: 03/15/2023] [Indexed: 03/23/2023] Open
Abstract
Hepatocellular carcinoma (HCC) has a complex and changeable tumor microenvironment. Despite emerging evidence focusing on autophagy process within immune cells, the function and regulatory mechanism of macrophage autophagy in tumor progression remains unclear. Our results of multiplex-immunohistochemistry and RNA-sequencing identified the reduced levels of autophagy in tumor macrophages in the HCC microenvironment, associated with a poor prognosis and increased microvascular metastasis in HCC patients. Specifically, HCC suppressed the macrophage autophagy initiation through the up-regulation of mTOR and ULK1 phosphorylation at Ser757. Knockdown of autophagy-related proteins to further inhibit autophagy significantly boosted the metastatic potential of HCC. Mechanistically, the accumulation of NLRP3 inflammasome mediated by autophagy inhibition promoted the cleavage, maturation, and release of IL-1β, which facilitated the HCC progression, eventually accelerating HCC metastasis via the epithelial-mesenchymal transition. Autophagy inhibition provoked macrophage self-recruitment through the CCL20-CCR6 signaling was also a crucial account of HCC progression. Recruited macrophages mediated the cascade amplification of IL-1β and CCL20 to form a novel pro-metastatic positive feedback loop through promoting HCC metastasis and increased macrophage recruitment, respectively. Notably, targeting IL-1β/IL-1 receptor signaling impaired lung metastasis induced by macrophage autophagy inhibition in a mice HCC lung metastasis model. In summary, this study highlighted that inhibition of tumor macrophage autophagy facilitated HCC progression by increasing IL-1β secretion via NLRP3 inflammasome accumulation and by macrophage self-recruitment through the CCL20 signaling pathway. Interruption of this metastasis-promoting loop by IL-1β blockade may provide a promising therapeutic strategy for HCC patients.
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Affiliation(s)
- Zheng Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Shan-Ru Feng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Jia-Feng Chen
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Xiao-Gang Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Ying-Hong Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Zheng Tang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Wei-Ren Liu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Xuan-Ming Luo
- Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China
| | - Hai-Ying Zeng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Guo-Ming Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Ai-Wu Ke
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
| | - Xiu-Tao Fu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China.
| | - Zhen-Bin Ding
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai, China; Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Fudan University, Shanghai, China; Department of liver Surgery, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China.
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22
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Li S, Huang A, Jiang T, Gu H, Zeng F, Wang X, Zhang S. Revealing of rich living radicals in oxide melts via weak magnetic effect on alumina dissolution reaction. J Mol Liq 2023. [DOI: 10.1016/j.molliq.2023.121391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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23
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Yang X, He D, Xiong Z, Yan B, Li Q, Guo D, Huang A, Feng Z, Lu P, Guo Q, He M, Ma C, Xu M, Liu Y, Su M, He Q, Liu R, Zhong Y, Fan J, Zhou J. Early detection and localization of major gastrointestinal cancers by combining DNA methylation and fragmentomic signatures generated from a single cfDNA targeted sequencing assay. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.4_suppl.330] [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: 01/26/2023] Open
Abstract
330 Background: Gastrointestinal (GI) cancers totally account for more than one third of the cancerous deaths, yet there is no cost-effective blood-based assay for the early detection of GI cancers. We sought to develop GutSeer, a noninvasive test based on cell-free DNA (cfDNA) methylation and fragmentation signatures derived from one single targeted DNA methylation sequencing panel, for early detection and localization of five major GI cancers, including colorectal (CC), gastric (GC), liver (LC), esophageal (EC), and pancreatic cancer (PC). Methods: A DNA methylation targeted sequencing panel with 1656 target regions was designed. It was then verified in a large cohort of retrospective cancer and control plasma samples for feature selection and modeling. The participants were randomly divided into a training cohort and a validation cohort in a 1:1 ratio. DNA methylation and fragmentomic features were calculated based on GutSeer sequencing data. An ensemble stacked machine learning approach was built to classify cancer and healthy samples in training cohort and tested in validation cohort. We also constructed a TOO model to predict the tissue of origin of detected cancer samples. Results: To develop GutSeer assay, we have enrolled and tested a total of 1844 retrospective plasma samples (787 healthy, 342 LC, 239 GC, 209 EC, 180 CC, and 87 PC), over half of the cancer samples were diagnosed with early-stage disease (TNM stage I 35.6%; stage II 23.3%; stage III 21.7%; stage IV 12.5%). Cancer- vs-healthy model was built on training cohort and tested in validation cohort, achieving an AUC of 0.94 (sensitivity=77.7%, specificity=96.4%) with methylation features, and 0.95 (sensitivity=77.1%, specificity=95.9%) with fragmentomic features. Combining these features could achieve AUC of 0.963 (sensitivity = 86.2%, specificity = 96.7%). For individual cancer types, the sensitivity was 93.3% (CC), 81.1% (EC), 70.3% (GC), 96.5% (LC) and 86.4% (PC), respectively. For predicted cancer samples, we achieved an 82% top-one (66.7% CC, 87.0% GC/EC, 89.0% LC, 63.2% PC) and 95.2% top-two (86,9% CC, 98.2% GC/EC, 97.6% LC, 89.5% PC) TOO accuracy (ACC, accuracy of predicting the most likely, and the top 2 most likely tissue or organ types where the identified cancer was located, respectively) in validation cohort with TOO model combined all features. Conclusions: Based on a single targeted DNA methylation sequencing assay, GutSeer, which combined cfDNA methylation and fragmentomic signatures, could detect and localize the major five GI cancers with high accuracy but low cost. Although this is a pilot study with limited sample size, GutSeer demonstrated the potential to be further optimized into non-invasive diagnostics for blood-based early screening and diagnosis for GI cancers.
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Affiliation(s)
- Xinrong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
| | - Dongli He
- Department of Gastroenterology, Xuhui Central Hospital, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhiguo Xiong
- Department of Gastrointestinal Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Yan
- Department of Clinical Laboratory, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Quanlin Li
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Dezhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
| | - Zhen Feng
- Department of Gastroenterology, Xuhui Central Hospital, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pinxiang Lu
- Department of General Surgery, Xuhui Central Hospital, Shanghai, China
| | - Qi Guo
- Endoscopy Center, Xuhui Central Hospital, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mengjiang He
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | | | - Minjie Xu
- Singlera Genomics (Shanghai) Ltd., Shanghai, China
| | - Yiying Liu
- Singlera Genomics (Shanghai) Ltd., Shanghai, China
| | - Mingyang Su
- Singlera Genomics (Shanghai) Ltd., Shanghai, China
| | - Qiye He
- Singlera Genomics (Shanghai) Ltd., Shanghai, China
| | - Rui Liu
- Singlera Genomics (Shanghai) Ltd., Shanghai, China
| | - Yunshi Zhong
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China
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Taheri N, Huang A. Gender and menopausal status correlate with success of maxillomandibular advancement surgery for sleep apnea. Int J Oral Maxillofac Surg 2023. [DOI: 10.1016/j.ijom.2022.09.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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25
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Tang S, Fu L, Gu H, Huang A, Yang S, Lv R. Improved Mechanical Properties of Alumina Ceramics Using Plasma-Assisted Milling Technique. Materials (Basel) 2023; 16:1128. [PMID: 36770138 PMCID: PMC9920483 DOI: 10.3390/ma16031128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/14/2023] [Accepted: 01/21/2023] [Indexed: 06/18/2023]
Abstract
In order to improve the mechanical properties of alumina ceramics, dielectric barrier discharge plasma-assisted milling (DBDPM) was employed to activate alumina powder. The effect of the plasma-assisted milling technique on the grinding behavior of alumina powder, as well as the microstructure and properties of fabricated alumina ceramic, was investigated in detail. Attributed to the great thermal stress induced via plasma heating, DBDPM showed significantly higher grinding efficiency than the common vibratory milling technique. Moreover, the lattice distortion of alumina grains occurred with the application of plasma, leading to an improved sintering activity of the produced alumina powders. Therefore, compared with the common vibratory milling technique, the fabricated alumina ceramics exhibited smaller grain sizes and improved mechanical properties when using alumina powder produced via the DBDPM method as the starting material.
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Affiliation(s)
- Shaopeng Tang
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Lvping Fu
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
- Jinan Ludong Refractories Co., Ltd., Jinan 250109, China
| | - Huazhi Gu
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Ao Huang
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Shuang Yang
- The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan 430081, China
| | - Renxiang Lv
- Jinan Ludong Refractories Co., Ltd., Jinan 250109, China
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Guo DZ, Zhang SY, Dong SY, Yan JY, Wang YP, Cao Y, Rao SX, Fan J, Yang XR, Huang A, Zhou J. Prognostic model for predicting outcome and guiding treatment decision for unresectable hepatocellular carcinoma treated with lenvatinib monotherapy or lenvatinib plus immunotherapy. Front Immunol 2023; 14:1141199. [PMID: 36911686 PMCID: PMC9995378 DOI: 10.3389/fimmu.2023.1141199] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 02/13/2023] [Indexed: 02/25/2023] Open
Abstract
Background Lenvatinib monotherapy and combination therapy with immune checkpoint inhibitors (ICI) were widely applied for unresectable hepatocellular carcinoma (uHCC). However, many patients failed to benefit from the treatments. A prognostic model was needed to predict the treatment outcomes and guide clinical decisions. Methods 304 patients receiving lenvatinib monotherapy or lenvatinib plus ICI for uHCC were retrospectively included. The risk factors derived from the multivariate analysis were used to construct the predictive model. The C-index and area under the receiver-operating characteristic curve (AUC) were calculated to assess the predictive efficiency. Results Multivariate analysis revealed that protein induced by vitamin K absence or antagonist-II (PIVKA-II) (HR, 2.05; P=0.001) and metastasis (HR, 2.07; P<0.001) were independent risk factors of overall survival (OS) in the training cohort. Herein, we constructed a prognostic model called PIMET score and stratified patients into the PIMET-low group (without metastasis and PIVKA-II<600 mAU/mL), PIMET-int group (with metastasis or PIVKA-II>600 mAU/mL) and PIMET-high group (with metastasis and PIVKA-II>600 mAU/mL). The C-index of PIMET score for the survival prediction was 0.63 and 0.67 in the training and validation cohort, respectively. In the training cohort, the AUC of 12-, 18-, and 24-month OS was 0.661, 0.682, and 0.744, respectively. The prognostic performances of the model were subsequently validated. The AUC of 12-, 18-, and 24-month OS was 0.724, 0.726, and 0.762 in the validation cohort. Subgroup analyses showed consistent predictive value for patients receiving lenvatinib monotherapy and patients receiving lenvatinib plus ICI. The PIMET score could also distinguish patients with different treatment responses. Notably, the combination of lenvatinib and ICI conferred survival benefits to patients with PIMET-int or PIMET-high, instead of patients with PIMET-low. Conclusion The PIMET score comprising metastasis and PIVKA-II could serve as a helpful prognostic model for uHCC receiving lenvatinib monotherapy or lenvatinib plus ICI. The PIMET score could guide the treatment decision and facilitate precision medicine for uHCC patients.
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Affiliation(s)
- De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shi-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - San-Yuan Dong
- Department of Radiology, Zhongshan Hospital, Fudan University Shanghai Institute of Medical Imaging, Shanghai, China
| | - Jia-Yan Yan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yu-Peng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ya Cao
- Cancer Research Institute, Central South University, Changsha, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Changsha, China
| | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University Shanghai Institute of Medical Imaging, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute of Biomedical Sciences, Fudan University, Shanghai, China
| | - Xin-Rong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute of Biomedical Sciences, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
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27
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Guo DZ, Zhang SY, Dong SY, Yan JY, Wang YP, Cao Y, Rao SX, Fan J, Yang XR, Huang A, Zhou J. Circulating immune index predicting the prognosis of patients with hepatocellular carcinoma treated with lenvatinib and immunotherapy. Front Oncol 2023; 13:1109742. [PMID: 36910622 PMCID: PMC9997675 DOI: 10.3389/fonc.2023.1109742] [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: 11/28/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
Background Immune checkpoint inhibitor (ICI)-based combination therapy has opened a new avenue for the treatment of multiple malignancies including hepatocellular carcinoma (HCC). However, considering the unsatisfactory efficacy, biomarkers are urgently needed to identify the patients most likely to benefit from ICI-based combination therapy. Methods A total of 194 patients undergoing ICI-based combination therapy for unresectable HCC were retrospectively enrolled and divided into a training cohort (n = 129) and a validation cohort (n = 65) randomly. A novel circulating immune index (CII) defined as the ratio of white blood cell count (×109/L) to lymphocyte proportion (%) was constructed and its prognostic value was determined and validated. Results Patients with CII ≤ 43.1 reported prolonged overall survival (OS) compared to those with CII > 43.1 (median OS: 24.7 vs 15.1 months; 6-, 12-, 18-month OS: 94.2%, 76.7%, 66.1% vs 86.4%, 68.2%, 22.8%, P = 0.019), and CII was identified as an independent prognostic factor for OS (hazard ratio, 2.24; 95% confidence interval, 1.17-4.31; P = 0.015). These results were subsequently verified in the validation cohort. Additionally, patients with low CII levels had improved best radiological tumor response (complete response, partial response, stable disease, progressive disease: 3%, 36%, 50%, 11% vs 0%, 27%, 46%, 27%; P = 0.037) and disease control rate (89% vs 73%; P = 0.031) in the pooled cohort and better pathologic response (pathologic complete response, major pathologic response, partial pathologic response, no pathologic response: 20%, 44%, 28%, 8% vs 0%, 0%, 40%, 60%; P = 0.005) in the neoadjuvant cohort. Detection of lymphocyte subsets revealed that an elevated proportion of CD4+ T cells was related to better OS, while the proportion of CD8+ T cells was not. Conclusions We constructed a novel circulating immune biomarker that was capable of predicting OS and therapeutic efficacy for HCC patients undergoing ICI and lenvatinib combination therapy.
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Affiliation(s)
- De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shi-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - San-Yuan Dong
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Jia-Yan Yan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yu-Peng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ya Cao
- Cancer Research Institute, Central South University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Changsha, China
| | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute of Biomedical Sciences, Fudan University, Shanghai, China
| | - Xin-Rong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China.,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China.,Institute of Biomedical Sciences, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
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Zhou Y, Huang A, Hattori S. A likelihood-based sensitivity analysis for publication bias on the summary receiver operating characteristic in meta-analysis of diagnostic test accuracy. Stat Med 2022; 42:781-798. [PMID: 36584693 DOI: 10.1002/sim.9643] [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: 02/28/2022] [Revised: 08/21/2022] [Accepted: 12/18/2022] [Indexed: 01/01/2023]
Abstract
In meta-analysis of diagnostic test accuracy, the summary receiver operating characteristic (SROC) curve is a recommended method to summarize the diagnostic capacity of a medical test in the presence of study-specific cutoff values. The SROC curve can be estimated by bivariate modeling of pairs of sensitivity and specificity across multiple diagnostic studies, and the area under the SROC curve (SAUC) gives the aggregate estimate of diagnostic test accuracy. However, publication bias is a major threat to the validity of the estimates. To make inference of the impact of publication bias on the SROC curve or the SAUC, we propose a sensitivity analysis method by extending the likelihood-based sensitivity analysis of Copas. In the proposed method, the SROC curve or the SAUC are estimated by maximizing the likelihood constrained by different values of the marginal probability of selective publication under different mechanisms of selective publication. A cutoff-dependent selection function is developed to model the selective publication mechanism via thet $$ t $$ -type statistics orP $$ P $$ -value of the linear combination of the logit-transformed sensitivity and specificity from the published studies. It allows us to model selective publication suggested by the funnel plots of sensitivity, specificity, or diagnostic odds ratio, which are often observed in practice. A real meta-analysis of diagnostic test accuracy is re-analyzed to illustrate the proposed method, and simulation studies are conducted to evaluate its performance.
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Affiliation(s)
- Yi Zhou
- Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Ao Huang
- Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Satoshi Hattori
- Department of Biomedical Statistics, Graduate School of Medicine, Osaka University, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
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Abdelwahab M, Hong Y, Taheri N, Huang A, Fleury T, Marques S, Liu S, Capasso R. Value of Surgical and Non-surgical Treatment for Sleep Apnea: A Closer Look At Healthcare Utilization. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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30
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Fleury Curado T, Pham L, Freire C, Amorim M, Abdelwahab M, Huang A, Taheri N, Hong Y, Dedhia R, Liu S, Capasso R, Polotsky V, Eisele D, Schwartz A. Changes in Tongue Morphology Predict Responses in Pharyngeal Patency to Selective Hypoglossal Nerve Stimulation. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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31
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Huang A, Hong Y, Abdelwahab M, Taheri N, Liu S, Lee K, Fleury T. Skeletal Surgery in Treating Obstructive Sleep Apnea: Gender Specific Outcomes. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abdelwahab M, Chang C, Huang A, Liu S. Outcome of OSA Subjects Undergoing Both Maxillomandibular Advancement and Hypoglossal Nerve Stimulation. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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33
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Abdelwahab M, Ibrahim B, Huang A, Yoon A, Chou C, Liu S. Precision in Performing Distraction Osteogenesis Maxillary Expansion For OSA. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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34
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Huang A, Abdelwahab M, Capasso R, Liu S, Oliveira F. Improving CPAP Compliance: Transcutaneous Nasal Valve Stabilization. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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35
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Abdelwahab M, Chou C, Huang A, Liu S. Perception of Nasal Function and Cosmesis after Maxillomandibular advancement for obstructive sleep apnea. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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36
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Taheri N, Hong Y, Abdelwahab M, Huang A, Fleury T, Lee K, Liu S. Gender and Menopausal Status Correlate with Sleep Surgery Outcome. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Taheri N, Hong Y, Abdelwahab M, Huang A, Fleury T, Liu S, Cheng A. Achieving Reduced Treatment Time for Obstructive Sleep Apnea Utilizing Surgery First Approach: A Comparison of Traditional versus Novel Techniques. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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38
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Curado TF, Pho H, Freire C, Amorim M, Sennes LU, Taheri N, Hong Y, Abdelwahab M, Huang A, Fishbein K, Liu S, Capasso R, Schwartz A, Fuller D, Polotsky V. Designer Receptors Exclusively Activated by Designer Drugs Treatment of Sleep-disordered Breathing. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Huang A, Wu XL, Song J, Wang YT, Yao Y, Liu Z, Wang H. Global trend and risk factors of the disease burden for pharynx and larynx cancers between 1990 and 2019: a systematic analysis of the global burden of disease study 2019. BMC Public Health 2022; 22:2192. [PMID: 36443799 PMCID: PMC9703662 DOI: 10.1186/s12889-022-14654-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 11/17/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Pharynx and larynx cancers (PLCs) are the top killer cancers in head and neck and significantly affect the quality of life of patients. A detailed study examining the disease burden and risk factors of PLCs is lacking. METHODS Data on mortality and disability-adjusted life-years (DALYs) were extracted from the Global Burden of Disease Study 2019. The estimated annual percentage change (EAPC) of the age-standardized mortality rate was calculated using a generalized linear model with a Gaussian distribution. Mortality and DALYs were stratified according to the sociodemographic index (SDI), age, gender, and risk factors. The association between the SDI and mortality rate was measured using Spearman's correlation. RESULTS Between 1990 and 2019, the total number of deaths due to PLCs increased by 60.7% (95% confidence intervals: 39.32 to 66.8), from 192.38 thousand in 1990 to 309.16 thousand in 2019, and the total DALYs due to PLCs increased by 49.41% (95% confidence intervals: 30.15 to 53.27), from 5.91 million in 1990 to 8.83 million in 2019. The age-standardized mortality rate declined for larynx cancer (from 2.19 in 1990 to 1.49 in 2019) and nasopharynx cancer (1.26 to 0.86) but increased slightly for other pharynx cancer (1.25 to 1.37). The death number of PLCs was significantly higher in men aged 50 to 70 years, which accounts for 46.05% and 43.83% of the total deaths in 1990 and 2019, respectively. Low and low-middle countries had the greatest age-standardized mortality rate for larynx and other pharynx cancer, while low-middle and middle countries dominated for nasopharynx cancer. The leading risk factors for PLCs were smoking and alcohol use, which account for 37.92% and 58.84% in total DALYs rate of PLCs, and the influence of risk factors was significant in men. CONCLUSION The total number of deaths and DALYs due to PLCs increased from 1990 to 2019. Countries with relatively low SDI and middle-aged and older men had the greatest burden of PLCs. Building better health care systems in relatively low SDI countries and improving strategies of smoking and alcohol control should be a priority in health policy.
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Affiliation(s)
- Ao Huang
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Xing-liang Wu
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Jia Song
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Yu-Ting Wang
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Yin Yao
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Zheng Liu
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
| | - Heng Wang
- grid.33199.310000 0004 0368 7223Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030 China ,grid.412793.a0000 0004 1799 5032Institute of Allergy and Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ,Hubei Clinical Research Center for Nasal Inflammatory Diseases, Wuhan, People’s Republic of China
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He K, Osorio N, Barsoumian H, Leyton CK, Hu Y, Voss T, Huang A, Cortez M, Lopes J, Losey H, Winquist R, Welsh J. Selective Agonism of Intermediate-Affinity IL-2 Receptor Promotes Systemic Antitumor Responses in Combination with Radiotherapy in Metastatic Lung Cancer. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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41
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Bono K, Palmeri M, Huang A, Gunther J, Mattes M. Assessment of Medical Student Research Mentorship Based on Publications in ASTRO Journals. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Li S, Chen D, Gu H, Huang A, Fu L. Investigation on Application Prospect of Refractories for Hydrogen Metallurgy: The Enlightenment from the Reaction between Commercial Brown Corundum and Hydrogen. Materials (Basel) 2022; 15:7022. [PMID: 36234362 PMCID: PMC9572735 DOI: 10.3390/ma15197022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
Hydrogenous environments put forward new requirements to refractories for the hydrogen metallurgy field. The temperature and impurities in refractories played an important role in stability. A commercial brown corundum with many impurities was adopted as a raw material, thermodynamic calculations and reduction experiments of the brown corundum by high-purity hydrogen (99.99%) were accepted to investigate the stability of the oxides. The weight loss and mass fraction were tested to estimate the stability of the oxides in the brown corundum. XRD and SEM were used to analyze the mineral compositions and microstructures. The results showed that: the thermodynamic stability of the oxides in the brown corundum under high-purity hydrogen was in the order of Al2O3 > CaO > MgO > SiO2 > TiO2 > Fe2O3 at temperatures lower than 1400 °C. Obvious weight loss appeared after heating at 1400 °C for 8 h. The content of CaO did not decline after reduction even at 1800 °C, owing to the formation of hibonite (CaAl12O19), high-purity Al2O3 and CaAl12O19 -based refractories had the prospect for lining materials in the hydrogen metallurgy field, owing to their excellent chemical stability under hydrogenous environments.
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Affiliation(s)
| | - Ding Chen
- Correspondence: ; Tel./Fax: +86-27-68862160
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Guo DZ, Cheng JW, Yan JY, Huang A, Wang YP, Zhang SY, Cao Y, Huang XW, Fan J, Zhou J, Yang XR. Efficacy and safety of lenvatinib for preventing tumor recurrence after liver transplantation in hepatocellular carcinoma beyond the Milan criteria. Ann Transl Med 2022; 10:1091. [PMID: 36388794 PMCID: PMC9652551 DOI: 10.21037/atm-22-1353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/07/2022] [Indexed: 11/06/2022]
Abstract
Background Lenvatinib is one of the first-line treatments for unresectable hepatocellular carcinoma (HCC). However, data are lacking on lenvatinib in the postoperative setting. Methods This retrospective analysis enrolled 242 patients with HCC who underwent liver transplantation (LTx). Eligible patients were divided into 2 groups according to their use of adjuvant lenvatinib following LTx (lenvatinib, n=42; control, n=200). The primary outcome measures were overall survival (OS), time to recurrence (TTR), and safety. Kaplan-Meier analysis was applied to calculate the OS, while a competing risk model was used to estimate the cumulative incidence of recurrence. Results The lenvatinib group showed more advanced tumors and a higher proportion of HCC beyond the Milan criteria (P<0.001) than the control group. There were no significant differences in both the OS and TTR between the 2 groups. After focusing on the patients with HCC beyond the Milan criteria, baseline characteristics were similar in the lenvatinib group (n=38) and the control group (n=102). Competing risk analysis showed lenvatinib significantly prolonged TTR after LTx versus the control group [sub-hazard ratio (sHR), 0.40; 95% confidence interval (CI): 0.17 to 0.93; P=0.031]. In the multivariate competing risk model, adjuvant lenvatinib was an independent protective factor for tumor recurrence after LTx in patients with HCC beyond the Milan criteria (sHR, 0.33; 95% CI: 0.13 to 0.83; P=0.018). The rate of early recurrence within t2 years after LTx was also significantly decreased in the lenvatinib group (15.8% vs. 33.3%, P=0.041). However, the lenvatinib group exhibited comparable OS with the control group in patients with HCC beyond the Milan criteria. Treatment-related adverse events (TRAEs) and Grade ≥3 TRAEs occurred in 40 (95.2%) and 13 (31%) patients who received adjuvant lenvatinib, respectively. No treatment-related death was reported. Conclusions Postoperative lenvatinib administration may provide clinical benefits and is well tolerated in patients with HCC beyond the Milan criteria who undergo LTx.
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Affiliation(s)
- De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian-Wen Cheng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia-Yan Yan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yu-Peng Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shi-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ya Cao
- Cancer Research Institute, Central South University; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Changsha, China
| | - Xiao-Wu Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China;,Institute of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China;,Institute of Biomedical Sciences, Fudan University, Shanghai, China;,State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
| | - Xin-Rong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, China;,Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, China
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Zhang W, Gong S, Cottrell K, Briggs K, Tonini M, Gu L, Whittington D, Yuan H, Gotur D, Jahic H, Huang A, Maxwell J, Mallender W. Biochemical characterization of TNG908 as a novel, potent MTA-cooperative PRMT5 inhibitor for the treatment of MTAP-deleted cancers. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)00872-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Briggs K, Cottrell K, Tsai A, Zhang M, Tonini M, Yoda S, Lombardo S, Teng T, Davis C, Whittington D, DiBenedetto H, Huang A, Maxwell J. TNG908 is a brain-penetrant, MTA-cooperative PRMT5 inhibitor for the treatment of MTAP-deleted cancer. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01021-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Briggs K, Tsai A, Zhang M, Tonini M, Haines B, Huang A, Cottrell K. TNG462 is a potential best-in-class MTA-cooperative PRMT5 inhibitor for the treatment of peripheral MTAP-deleted solid tumors. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01022-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Liu Y, Yang H, Zheng H, Jia M, Huang A. Structural Characteristics and Electrochemical Performance of N,P-Codoped Porous Carbon as a Lithium-Ion Battery Anode Electrode. ACS Omega 2022; 7:34109-34116. [PMID: 36188315 PMCID: PMC9520685 DOI: 10.1021/acsomega.2c03400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/02/2022] [Indexed: 06/16/2023]
Abstract
Biomass-derived heteroatom-doped carbons have been considered to be excellent lithium ion battery (LIB) anode materials. Herein, ultrathin g-C3N4 nanosheets anchored on N,P-codoped biomass-derived carbon (N,P@C) were successfully fabricated by carbonization in an argon atmosphere. The structural characteristics of the resultant N,P@C were elucidated by SEM, TEM, FTIR, XRD, XPS, Raman, and BET surface area measurements. The results show that N,P@C has a high specific surface area (S BET = 675.4 cm3/g), a mesoporous-dominant pore (average pore size of 6.898 nm), and a high level of defects (I D/I G = 1.02). The hierarchical porous structural properties are responsible for the efficient electrochemical performance of N,P@C as an anode material, which exhibits an outstanding reversible specific capacity of 1264.3 mAh/g at 100 mA/g, an elegant rate capability of 261 mAh/g at 10 A, and a satisfactory cycling stability of 1463.8 mAh/g at 1 A after 500 cycles. Because of the special structure and synergistic contributions from N and P heteroatoms, the resultant N,P@C endows LIBs with electrochemical performance superior to those of most of carbon-based anode materials derived from biomass in the literature. The findings in this present work pave a novel avenue toward lignin volarization to produce anode material for use in high-performance LIBs.
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Affiliation(s)
- Yun Liu
- Beijing
Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Haihua Yang
- Beijing
Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Hongyu Zheng
- Beijing
Key Laboratory of Electrochemical Process and Technology for Materials, Beijing University of Chemical Technology, Beijing 100029, China
| | - Mengqiu Jia
- Beijing
Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
- Beijing
Key Laboratory of Electrochemical Process and Technology for Materials, Beijing University of Chemical Technology, Beijing 100029, China
| | - Ao Huang
- Beijing
Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
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Yao Y, Huang A, Deng YK, Liu Y, Zhu HY, Wang N, Wang ZZ, Zhu RF, Yu D, Liu Z. Allergen Immunotherapy Reverses Immune Response to SARS-CoV-2 Vaccine in Patients with Allergic Rhinitis: A Prospective Observational Trial. Am J Respir Crit Care Med 2022; 206:780-783. [PMID: 35649178 PMCID: PMC9799121 DOI: 10.1164/rccm.202203-0608le] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Yin Yao
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Ao Huang
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Yi-Ke Deng
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Yan Liu
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Hong-Yu Zhu
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Nan Wang
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Zhe-Zheng Wang
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Rong-Fei Zhu
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
| | - Di Yu
- The University of QueenslandBrisbane, Australia
| | - Zheng Liu
- Tongji Hospital affiliated to HuazhongUniversity of Science and TechnologyWuhan, China
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Qu WF, Ding ZB, Qu XD, Tang Z, Zhu GQ, Fu XT, Zhang ZH, Zhang X, Huang A, Tang M, Tian MX, Jiang XF, Huang R, Tao CY, Fang Y, Gao J, Wu XL, Zhou J, Fan J, Liu WR, Shi YH. Conversion therapy for initially unresectable hepatocellular carcinoma using a combination of toripalimab, lenvatinib plus TACE: real-world study. BJS Open 2022; 6:6706648. [PMID: 36125345 PMCID: PMC9499852 DOI: 10.1093/bjsopen/zrac114] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/12/2022] [Accepted: 08/17/2022] [Indexed: 12/24/2022] Open
Abstract
Background Combination conversion therapies afforded curative surgery chance for initially unresectable hepatocellular carcinoma (uHCC). This study aimed to evaluate the conversion rate and clinical outcomes of a first-line conversion regimen of lenvatinib combined with transarterial chemoembolization (TACE) plus immunotherapy for initial uHCC by interpreting real-world data. Methods Conversion therapy data of patients with uHCC from November 2018 to January 2021 were analysed. The regimens included triple combination therapy (t-CT: lenvatinib, TACE, plus toripalimab) and dual combination therapy (d-CT: lenvatinib plus TACE). Another study population diagnosed with hepatocellular carcinoma of macrovascular invasion disease were included as the upfront surgery cohort. Treatment responses and conversion rate were primary outcomes. Survival and adverse events were analysed. Results Fifty-one patients receiving t-CT (n = 30) and d-CT (n = 21) were enrolled. Higher overall response rates (76.7 per cent versus 47.6 per cent, P = 0.042) and disease control rates (90.0 per cent versus 57.1 per cent, P = 0.042) were observed via t-CT than d-CT. Both median overall survival and event-free survival were not reached in the t-CT cohort. A higher rate of curative conversion resection was achieved through t-CT than d-CT (50.0 per cent versus 19.0 per cent, P = 0.039). The disease-free survival of patients undergoing conversion resection in the t-CT cohort (n = 15) was higher than that in the upfront surgery cohort (n = 68, P = 0.039). Both t-CT and d-CT regimens were tolerable. Conclusions Better treatment responses and conversion rate for patients with uHCC were obtained with first-line t-CT. Neoadjuvant t-CT before surgery should be recommended for patients with macrovascular invasion.
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Affiliation(s)
- Wei-Feng Qu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Zhen-Bin Ding
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Xu-Dong Qu
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University , Shanghai , China
| | - Zheng Tang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Gui-Qi Zhu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Xiu-Tao Fu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Zi-Han Zhang
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University , Shanghai , China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Min Tang
- Department of Radiology, Zhongshan Hospital, Fudan University , Shanghai , China
| | - Meng-Xin Tian
- Department of General Surgery, Zhongshan Hospital, Fudan University , Shanghai , China
| | - Xi-Fei Jiang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Run Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Chen-Yang Tao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Yuan Fang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Jun Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Xiao-Ling Wu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
- Department of Radiology, Zhongshan Hospital, Fudan University , Shanghai , China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
- Department of Radiology, Zhongshan Hospital, Fudan University , Shanghai , China
| | - Wei-Ren Liu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai , China
| | - Ying-Hong Shi
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, and Research Unit of Bench and Clinic Research for Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences , Shanghai , China
- Shanghai Key Laboratory of Organ Transplantation , Shanghai , China
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai , China
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Peng Y, Huang A, Li S, Chen X, Gu H. Radical reaction-induced Turing pattern corrosion of alumina refractory ceramics with CaO–Al2O3–SiO2–MgO slags. Ann Ital Chir 2022. [DOI: 10.1016/j.jeurceramsoc.2022.09.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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