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Zhao X, Hou JY, Zhu JJ, Zheng MN, Li L, Ning TL, Yu MH. [Characteristics of baseline viral load before antiretroviral therapy in newly reported HIV-infected patients in Tianjin, 2019-2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:353-357. [PMID: 38514311 DOI: 10.3760/cma.j.cn112338-20230912-00148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To understand the baseline viral load (VL) of newly reported HIV- infected patients before antiretroviral therapy and related factors in Tianjin. Methods: Data were obtained from the China Disease Control and Prevention Information System, and the study subjects were HIV-infected patients before the first antiretroviral therapy in Tianjin from 2019 to 2022, and the information about their socio-demographic characteristics, baseline CD4+T lymphocyte (CD4) counts before antiretroviral therapy and baseline VL test results were collected, the baseline high VL was defined as ≥100 000 copies/ml. The effect of different factors on viral load were analyzed. Software SPSS 24.0 was used for statistical analysis. Results: A total of 1 296 newly reported HIV-infected patients were included in the study, in whom 15.89% (206/1 296) had high baseline VL, and multifactorial logistic regression analysis showed that those with history of STD (aOR=1.45, 95%CI:1.00-2.08) were more likely to have high baseline VL. Compared with those with baseline CD4 counts <200 cells/μl, those with baseline CD4 counts 200-350 cells/μl (aOR=0.40, 95%CI: 0.27-0.57), 351-500 cells/μl (aOR=0.32, 95%CI: 0.20-0.49), and >500 cells/μl (aOR=0.30, 95%CI: 0.18-0.49) were less likely to have high baseline VL. Conclusions: The proportion of HIV-infected patients with high baseline VL before antiretroviral therapy was low in Tianjin during 2019-2022. History of STD and baseline CD4 counts <200 cells/μl were associated with high baseline VL in HIV-infected patients, to which close attention needs to be paid in AIDS prevention and control.
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Affiliation(s)
- X Zhao
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - J Y Hou
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - J J Zhu
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - M N Zheng
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - L Li
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - T L Ning
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - M H Yu
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
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Wei H, Withrow J, Rakshit J, Amin FU, Nahm J, Mowry FE, Mao Z, Bhattacharjee MB, Zhu JJ, Yang Y, Wu JQ. The identification of a Distinct Astrocyte Subtype that Diminishes in Alzheimer's Disease. Aging Dis 2024:AD.2024.0205-1. [PMID: 38502590 DOI: 10.14336/ad.2024.0205-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024] Open
Abstract
Alzheimer's disease (AD) is characterized by the presence of two hallmark pathologies: the accumulation of Amyloid beta (Aβ) and tau proteins in the brain. There is a growing body of evidence suggesting that astrocytes, a type of glial cell in the brain, play crucial roles in clearing Aβ and binding to tau proteins. However, due to the heterogeneity of astrocytes, the specific roles of different astrocyte subpopulations in response to Aβ and tau remain unclear. To enhance the understanding of astrocyte subpopulations in AD, we investigated astrocyte lineage cells based on single-nuclei transcriptomic data obtained from both human and mouse samples. We characterized the diversity of astrocytes and identified global and subpopulation-specific transcriptomic changes between control and AD samples. Our findings revealed the existence of a specific astrocyte subpopulation marked by low levels of GFAP and the presence of AQP4 and CD63 expression, which showed functional enrichment in Aβ clearance and tau protein binding, and diminished in AD. We verified this type of astrocytes in mouse models and in AD patient brain samples. Furthermore, our research also unveiled significant alterations of the ligand-receptor interactions between astrocytes and other cell types. These changes underscore the complex interplay between astrocytes and neighboring cells in the context of AD. Overall, our work gives insights into astrocyte heterogeneity in the context of AD and reveals a distinct astrocyte subpopulation that holds potential for therapeutic interventions in AD. Targeting specific astrocyte subpopulations may offer new avenues for the development of novel treatments for AD.
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Affiliation(s)
- Haichao Wei
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX, USA
| | - Joseph Withrow
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jyotirmoy Rakshit
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX, USA
| | - Faiz Ul Amin
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX, USA
| | - Joshua Nahm
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Francesca E Mowry
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Zhengmei Mao
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX, USA
| | - Meenakshi B Bhattacharjee
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yongjie Yang
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Jia Qian Wu
- The Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Center for Stem Cell and Regenerative Medicine, UT Brown Foundation Institute of Molecular Medicine, Houston, TX, USA
- MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
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3
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Wang B, Fei X, Yin HF, Xu XN, Zhu JJ, Guo ZY, Wu JW, Zhu XS, Zhang Y, Xu Y, Yang Y, Chen LS. Photothermal-Controllable Microneedles with Antitumor, Antioxidant, Angiogenic, and Chondrogenic Activities to Sequential Eliminate Tracheal Neoplasm and Reconstruct Tracheal Cartilage. Small 2024; 20:e2309454. [PMID: 38098368 DOI: 10.1002/smll.202309454] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Indexed: 03/16/2024]
Abstract
The optimal treatment for tracheal tumors necessitates sequential tumor elimination and tracheal cartilage reconstruction. This study introduces an innovative inorganic nanosheet, MnO2 /PDA@Cu, comprising manganese dioxide (MnO2 ) loaded with copper ions (Cu) through in situ polymerization using polydopamine (PDA) as an intermediary. Additionally, a specialized methacrylic anhydride modified decellularized cartilage matrix (MDC) hydrogel with chondrogenic effects is developed by modifying a decellularized cartilage matrix with methacrylic anhydride. The MnO2 /PDA@Cu nanosheet is encapsulated within MDC-derived microneedles, creating a photothermal-controllable MnO2 /PDA@Cu-MDC microneedle. Effectiveness evaluation involved deep insertion of the MnO2 /PDA@Cu-MDC microneedle into tracheal orthotopic tumor in a murine model. Under 808 nm near-infrared irradiation, facilitated by PDA, the microneedle exhibited rapid overheating, efficiently eliminating tumors. PDA's photothermal effects triggered controlled MnO2 and Cu release. The MnO2 nanosheet acted as a potent inorganic nanoenzyme, scavenging reactive oxygen species for an antioxidant effect, while Cu facilitated angiogenesis. This intervention enhanced blood supply at the tumor excision site, promoting stem cell enrichment and nutrient provision. The MDC hydrogel played a pivotal role in creating a chondrogenic niche, fostering stem cells to secrete cartilaginous matrix. In conclusion, the MnO2 /PDA@Cu-MDC microneedle is a versatile platform with photothermal control, sequentially combining antitumor, antioxidant, pro-angiogenic, and chondrogenic activities to orchestrate precise tracheal tumor eradication and cartilage regeneration.
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Affiliation(s)
- B Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - X Fei
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - H F Yin
- Department of Infection Management, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - X N Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - J J Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Z Y Guo
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - J W Wu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - X S Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Y Zhang
- Department of Orthopedics, Shanghai Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China
| | - Y Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Y Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
- Central Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, China
| | - L S Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
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4
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Wang DH, Fujita Y, Dono A, Rodriguez Armendariz AG, Shah M, Putluri N, Pichardo-Rojas PS, Patel CB, Zhu JJ, Huse JT, Parker Kerrigan BC, Lang FF, Esquenazi Y, Ballester LY. The genomic alterations in glioblastoma influence the levels of CSF metabolites. Acta Neuropathol Commun 2024; 12:13. [PMID: 38243318 PMCID: PMC10799404 DOI: 10.1186/s40478-024-01722-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/31/2023] [Indexed: 01/21/2024] Open
Abstract
Cerebrospinal fluid (CSF) analysis is underutilized in patients with glioblastoma (GBM), partly due to a lack of studies demonstrating the clinical utility of CSF biomarkers. While some studies show the utility of CSF cell-free DNA analysis, studies analyzing CSF metabolites in patients with glioblastoma are limited. Diffuse gliomas have altered cellular metabolism. For example, mutations in isocitrate dehydrogenase enzymes (e.g., IDH1 and IDH2) are common in diffuse gliomas and lead to increased levels of D-2-hydroxyglutarate in CSF. However, there is a poor understanding of changes CSF metabolites in GBM patients. In this study, we performed targeted metabolomic analysis of CSF from n = 31 patients with GBM and n = 13 individuals with non-neoplastic conditions (controls), by mass spectrometry. Hierarchical clustering and sparse partial least square-discriminant analysis (sPLS-DA) revealed differences in CSF metabolites between GBM and control CSF, including metabolites associated with fatty acid oxidation and the gut microbiome (i.e., carnitine, 2-methylbutyrylcarnitine, shikimate, aminobutanal, uridine, N-acetylputrescine, and farnesyl diphosphate). In addition, we identified differences in CSF metabolites in GBM patients based on the presence/absence of TP53 or PTEN mutations, consistent with the idea that different mutations have different effects on tumor metabolism. In summary, our results increase the understanding of CSF metabolites in patients with diffuse gliomas and highlight several metabolites that could be informative biomarkers in patients with GBM.
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Affiliation(s)
- Daniel H Wang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 2130 W. Holcombe Blvd., Suite 910, Houston, TX, 77030, USA
| | - Yoko Fujita
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin St., Suite 2800, Houston, TX, 77030, USA
| | - Antonio Dono
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin St., Suite 2800, Houston, TX, 77030, USA
| | - Ana G Rodriguez Armendariz
- Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, Av. Ignacio Morones Prieto 3000, Sertoma, Monterrey, N.L, 64710, Mexico
| | - Mauli Shah
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 2130 W. Holcombe Blvd., Suite 910, Houston, TX, 77030, USA
| | - Nagireddy Putluri
- Advanced Technology Core, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Pavel S Pichardo-Rojas
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin St., Suite 2800, Houston, TX, 77030, USA
| | - Chirag B Patel
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1002, BSRB S5.8116b, Houston, TX, 77030, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin St., Suite 2800, Houston, TX, 77030, USA
- Memorial Hermann Hospital-Texas Medical Center, Houston, TX, 77030, USA
| | - Jason T Huse
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 2130 W. Holcombe Blvd., Suite 910, Houston, TX, 77030, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Brittany C Parker Kerrigan
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Blvd., Room FC7.2000, Unit 442, Houston, TX, 77030, USA
| | - Frederick F Lang
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, 1400 Holcombe Blvd., Room FC7.2000, Unit 442, Houston, TX, 77030, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin St., Suite 2800, Houston, TX, 77030, USA
- Memorial Hermann Hospital-Texas Medical Center, Houston, TX, 77030, USA
- Center for Precision Health, McGovern Medical School, The University of Texas Health Science Center at Houston, 7000 Fannin St., Suite 600, Houston, TX, 77030, USA
| | - Leomar Y Ballester
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 2130 W. Holcombe Blvd., Suite 910, Houston, TX, 77030, USA.
- Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
- Neuropathology and Molecular Genetic Pathology, Department of Pathology, Department of Translational Molecular Pathology, 1515 Holcombe Blvd, Unit 85, Houston, TX, 77030, USA.
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5
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Arjuna S, Shah M, Dono A, Nunez-Rubiano L, Pichardo-Rojas PS, Zhu JJ, Riascos RF, Luthra R, Roy-Chowdhuri S, Duose D, Wang DH, Lang FF, Esquenazi Y, Ballester LY. Rapid detection of mutations in CSF-cfTNA with the Genexus Integrated Sequencer. J Neurooncol 2024; 166:39-49. [PMID: 38160230 DOI: 10.1007/s11060-023-04487-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/20/2023] [Indexed: 01/03/2024]
Abstract
PURPOSE Genomic alterations are fundamental for molecular-guided therapy in patients with breast and lung cancer. However, the turn-around time of standard next-generation sequencing assays is a limiting factor in the timely delivery of genomic information for clinical decision-making. METHODS In this study, we evaluated genomic alterations in 54 cerebrospinal fluid samples from 33 patients with metastatic lung cancer and metastatic breast cancer to the brain using the Oncomine Precision Assay on the Genexus sequencer. There were nine patients with samples collected at multiple time points. RESULTS Cell-free total nucleic acids (cfTNA) were extracted from CSF (0.1-11.2 ng/μl). Median base coverage was 31,963× with cfDNA input ranging from 2 to 20 ng. Mutations were detected in 30/54 CSF samples. Nineteen (19/24) samples with no mutations detected had suboptimal DNA input (< 20 ng). The EGFR exon-19 deletion and PIK3CA mutations were detected in two patients with increasing mutant allele fraction over time, highlighting the potential of CSF-cfTNA analysis for monitoring patients. Moreover, the EGFR T790M mutation was detected in one patient with prior EGFR inhibitor treatment. Additionally, ESR1 D538G and ESR1::CCDC170 alterations, associated with endocrine therapy resistance, were detected in 2 mBC patients. The average TAT from cfTNA-to-results was < 24 h. CONCLUSION In summary, our results indicate that CSF-cfTNA analysis with the Genexus-OPA can provide clinically relevant information in patients with brain metastases with short TAT.
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Affiliation(s)
- Srividya Arjuna
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA
| | - Mauli Shah
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA
| | - Antonio Dono
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health, Houston, TX, USA
| | - Luis Nunez-Rubiano
- Department of Diagnostic and Interventional Imaging, McGovern Medical School at UT Health, Houston, TX, USA
| | - Pavel S Pichardo-Rojas
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Roy F Riascos
- Department of Diagnostic and Interventional Imaging, McGovern Medical School at UT Health, Houston, TX, USA
| | - Rajyalakshmi Luthra
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center at Houston, Houston, TX, USA
| | - Sinchita Roy-Chowdhuri
- Department of Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA
| | - Dzifa Duose
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA
| | - Daniel H Wang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA
| | - Frederick F Lang
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UT Health, Houston, TX, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, USA.
- Center for Precision Health, Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Leomar Y Ballester
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA.
- Department of Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA.
- Neuropathology and Molecular Genetic Pathology, Department of Pathology, The University of Texas MD Anderson Cancer Center Houston, Houston, TX, USA.
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6
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Porter LH, Zhu JJ, Lister NL, Harrison SG, Keerthikumar S, Goode DL, Urban RQ, Byrne DJ, Azad A, Vela I, Hofman MS, Neeson PJ, Darcy PK, Trapani JA, Taylor RA, Risbridger GP. Low-dose carboplatin modifies the tumor microenvironment to augment CAR T cell efficacy in human prostate cancer models. Nat Commun 2023; 14:5346. [PMID: 37660083 PMCID: PMC10475084 DOI: 10.1038/s41467-023-40852-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 08/11/2023] [Indexed: 09/04/2023] Open
Abstract
Chimeric antigen receptor (CAR) T cells have transformed the treatment landscape for hematological malignancies. However, CAR T cells are less efficient against solid tumors, largely due to poor infiltration resulting from the immunosuppressive nature of the tumor microenvironment (TME). Here, we assessed the efficacy of Lewis Y antigen (LeY)-specific CAR T cells in patient-derived xenograft (PDX) models of prostate cancer. In vitro, LeY CAR T cells directly killed organoids derived from androgen receptor (AR)-positive or AR-null PDXs. In vivo, although LeY CAR T cells alone did not reduce tumor growth, a single prior dose of carboplatin reduced tumor burden. Carboplatin had a pro-inflammatory effect on the TME that facilitated early and durable CAR T cell infiltration, including an altered cancer-associated fibroblast phenotype, enhanced extracellular matrix degradation and re-oriented M1 macrophage differentiation. In a PDX less sensitive to carboplatin, CAR T cell infiltration was dampened; however, a reduction in tumor burden was still observed with increased T cell activation. These findings indicate that carboplatin improves the efficacy of CAR T cell treatment, with the extent of the response dependent on changes induced within the TME.
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Affiliation(s)
- L H Porter
- Prostate Cancer Research Group, Monash Biomedicine Discovery Institute, Cancer Program, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia
| | - J J Zhu
- Cancer Immunology Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - N L Lister
- Prostate Cancer Research Group, Monash Biomedicine Discovery Institute, Cancer Program, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia
| | - S G Harrison
- Prostate Cancer Research Group, Monash Biomedicine Discovery Institute, Cancer Program, Department of Physiology, Monash University, Clayton, VIC, 3800, Australia
| | - S Keerthikumar
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Computational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - D L Goode
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Computational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - R Quezada Urban
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Computational Cancer Biology Program, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - D J Byrne
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - A Azad
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - I Vela
- Queensland Bladder Cancer Initiative, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, QLD, 4102, Australia
- Australian Prostate Cancer Research Center, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Brisbane, QLD, 4102, Australia
- Department of Urology, Princess Alexandra Hospital, Brisbane, QLD, 4102, Australia
| | - M S Hofman
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
- Molecular Imaging and Therapeutic Nuclear Medicine, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC), Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
| | - P J Neeson
- Cancer Immunology Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - P K Darcy
- Cancer Immunology Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - J A Trapani
- Cancer Immunology Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - R A Taylor
- Cancer Immunology Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia.
- Prostate Cancer Research Group, Monash Biomedicine Discovery Institute, Cancer Program, Department of Physiology, Monash University, Clayton, VIC, 3800, Australia.
- Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC), Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
| | - G P Risbridger
- Prostate Cancer Research Group, Monash Biomedicine Discovery Institute, Cancer Program, Department of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia.
- Cancer Immunology Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010, Australia.
- Prostate Cancer Theranostics and Imaging Centre of Excellence (ProsTIC), Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
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7
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Zhang JJ, Rodriguez Quintero JC, Nahm JK, Bhattacharjee MB, Nunez LC, Riascos RF, Blanco AI, Day AL, Zhu JJ. Novel Adjuvant Targeted Approach for PTEN-Mutated Choroid Plexus Carcinoma in Adults: Case Report and Literature Review. JCO Precis Oncol 2023; 7:e2300128. [PMID: 37535883 DOI: 10.1200/po.23.00128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/12/2023] [Accepted: 06/28/2023] [Indexed: 08/05/2023] Open
Abstract
53-year-old female, with CPC and PTEN mutation by NGS, was successfully treated with everolimus and brain radiation
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Affiliation(s)
- Jackie J Zhang
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
- Chicago Medical School, Rosalind Franklin School of Medicine and Science, North Chicago, IL
- Lone Star Family Health Center, Conroe, TX
| | - Juan C Rodriguez Quintero
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Joshua K Nahm
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Meenakshi B Bhattacharjee
- Department of Pathology, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Luis C Nunez
- Department of Diagnostic and Interventional Imaging, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Roy F Riascos
- Department of Diagnostic and Interventional Imaging, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Angel I Blanco
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Arthur L Day
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center, Houston, TX
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8
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Lin KH, Zhu JJ, Smith JA, Kim Y, Jiang X. An End-to-end In-Silico and In-Vitro Drug Repurposing Pipeline for Glioblastoma. IEEE Int Conf Healthc Inform 2023; 2023:738-745. [PMID: 38516034 PMCID: PMC10956733 DOI: 10.1109/ichi57859.2023.00135] [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] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Our study aims to address the challenges in drug development for glioblastoma, a highly aggressive brain cancer with poor prognosis. We propose a computational framework that utilizes machine learning-based propensity score matching to estimate counterfactual treatment effects and predict synergistic effects of drug combinations. Through our in-silico analysis, we identified promising drug candidates and drug combinations that warrant further investigation. To validate these computational findings, we conducted in-vitro experiments on two GBM cell lines, U87 and T98G. The experimental results demonstrated that some of the identified drugs and drug combinations indeed exhibit strong suppressive effects on GBM cell growth. Our end-to-end pipeline showcases the feasibility of integrating computational models with biological experiments to expedite drug repurposing and discovery efforts. By bridging the gap between in-silico analysis and in-vitro validation, we demonstrate the potential of this approach to accelerate the development of novel and effective treatments for glioblastoma.
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Affiliation(s)
- Ko-Hong Lin
- School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- McGovern Medical School, University of Texas Health, Science Center at Houston, Houston, TX, USA
| | - Judith A Smith
- McGovern Medical School, University of Texas Health, Science Center at Houston, Houston, TX, USA
| | - Yejin Kim
- School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA
| | - Xiaoqian Jiang
- School of Biomedical Informatics, University of Texas Health, Science Center at Houston, Houston, TX, USA
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9
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Xu A, Liu M, Huang MF, Zhang Y, Hu R, Gingold JA, Liu Y, Zhu D, Chien CS, Wang WC, Liao Z, Yuan F, Hsu CW, Tu J, Yu Y, Rosen T, Xiong F, Jia P, Yang YP, Bazer DA, Chen YW, Li W, Huff CD, Zhu JJ, Aguilo F, Chiou SH, Boles NC, Lai CC, Hung MC, Zhao Z, Van Nostrand EL, Zhao R, Lee DF. Rewired m 6A epitranscriptomic networks link mutant p53 to neoplastic transformation. Nat Commun 2023; 14:1694. [PMID: 36973285 PMCID: PMC10042811 DOI: 10.1038/s41467-023-37398-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023] Open
Abstract
N6-methyladenosine (m6A), one of the most prevalent mRNA modifications in eukaryotes, plays a critical role in modulating both biological and pathological processes. However, it is unknown whether mutant p53 neomorphic oncogenic functions exploit dysregulation of m6A epitranscriptomic networks. Here, we investigate Li-Fraumeni syndrome (LFS)-associated neoplastic transformation driven by mutant p53 in iPSC-derived astrocytes, the cell-of-origin of gliomas. We find that mutant p53 but not wild-type (WT) p53 physically interacts with SVIL to recruit the H3K4me3 methyltransferase MLL1 to activate the expression of m6A reader YTHDF2, culminating in an oncogenic phenotype. Aberrant YTHDF2 upregulation markedly hampers expression of multiple m6A-marked tumor-suppressing transcripts, including CDKN2B and SPOCK2, and induces oncogenic reprogramming. Mutant p53 neoplastic behaviors are significantly impaired by genetic depletion of YTHDF2 or by pharmacological inhibition using MLL1 complex inhibitors. Our study reveals how mutant p53 hijacks epigenetic and epitranscriptomic machinery to initiate gliomagenesis and suggests potential treatment strategies for LFS gliomas.
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Affiliation(s)
- An Xu
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Mo Liu
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Mo-Fan Huang
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, 77030, USA
| | - Yang Zhang
- College of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, 518055, China
| | - Ruifeng Hu
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Julian A Gingold
- Department of Obstetrics & Gynecology and Women's Health, Einstein/Montefiore Medical Center, Bronx, NY, 10461, USA
| | - Ying Liu
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Dandan Zhu
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Chian-Shiu Chien
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, 112, Taiwan
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Wei-Chen Wang
- Institute of Molecular Biology, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Zian Liao
- Verna & Marrs McLean Department of Biochemistry & Molecular Biology and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Fei Yuan
- Verna & Marrs McLean Department of Biochemistry & Molecular Biology and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Chih-Wei Hsu
- Department of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jian Tu
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Yao Yu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Taylor Rosen
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Feng Xiong
- Department of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Peilin Jia
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Yi-Ping Yang
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, 112, Taiwan
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Danielle A Bazer
- Department of Neurology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, 11794, USA
| | - Ya-Wen Chen
- Department of Otolaryngology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Institute for Airway Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Wenbo Li
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, 77030, USA
- Department of Biochemistry and Molecular Biology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Chad D Huff
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, 77030, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Francesca Aguilo
- Wallenberg Centre for Molecular Medicine (WCMM), Umea University, SE-901 85, Umea, Sweden
- Department of Molecular Biology, Umea University, SE-901 85, Umea, Sweden
| | - Shih-Hwa Chiou
- Department of Medical Research, Taipei Veterans General Hospital, Taipei, 112, Taiwan
- College of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | | | - Chien-Chen Lai
- Institute of Molecular Biology, National Chung Hsing University, Taichung, 40227, Taiwan
- Graduate institute of Chinese Medical Science, China Medical University, Taichung, 40402, Taiwan
- Ph.D. Program in Translational Medicine and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, 40227, Taiwan
| | - Mien-Chie Hung
- Graduate Institute of Biomedical Sciences and Center for Molecular Medicine, and Office of the President, China Medical University, Taichung, 404, Taiwan
- Department of Biotechnology, Asia University, Taichung, 413, Taiwan
| | - Zhongming Zhao
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, 77030, USA
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Eric L Van Nostrand
- Verna & Marrs McLean Department of Biochemistry & Molecular Biology and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ruiying Zhao
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
| | - Dung-Fang Lee
- Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
- The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, 77030, USA.
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
- Center for Stem Cell and Regenerative Medicine, The Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
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10
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Zhang ZQ, Luo G, Zhu JJ, Ni HD, Huang B, Yao M. [Analysis of the efficacy and safety of CT-guided radiofrequency ablation of posterior root of the spinal nerve in the treatment of postherpetic neuralgia]. Zhonghua Yi Xue Za Zhi 2023; 103:483-487. [PMID: 36800770 DOI: 10.3760/cma.j.cn112137-20220519-01105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Objective: To investigate the efficacy and safety of CT-guided radiofrequency ablation of posterior root of spinal nerve in the treatment of postherpetic neuralgia (PHN). Methods: A total of 102 PHN patients (42 males and 60 females) aged (69.7±9.4) years who underwent CT-guided radiofrequency ablation of posterior root of spinal nerve in the Department of Pain Medicine of the Affiliated Hospital of Jiaxing University from January 2017 to April 2020 were retrospectively included. Patients were followed up, and numerical rating scale (NRS) score, Pittsburgh sleep quality index (PSQI), satisfaction score and complications before surgery (T0) and at 1 d (T1), 3 months (T2), 6 months (T3), 9 months (T4) and 12 months (T5) after surgery were recorded. Results: The NRS score of PHN patients at T0, T1, T2, T3, T4, and T5 [M(Q1, Q3)] was 6(6, 7), 2(2, 3), 3(2, 4), 3(2, 4), 2(1, 4), 2(1, 4), respectively. Likewise, the PSQI score [M(Q1, Q3)] at aforementioned time points was 14(13, 16), 4(3, 6), 6(4, 8), 5(4, 6), 4(2, 8), 4(2, 9), respectively. Compared with T0, the NRS and PSQI scores at all time points from T1 to T5 were lower, with statistically significant differences (all P<0.001). The overall effective rate of surgery at 1 year postoperatively was 71.6% (73/102) with a satisfaction score of 8(5, 9), and the recurrence rate was 14.7% (15/102) with a recurrence time of (7.5±0.8) months. The main postoperative complication was numbness, with an incidence of 86.0% (88/102), and the degree of numbness gradually decreased with time. Conclusion: CT-guided radiofrequency ablation of posterior root of spinal nerve for PHN has a high effective rate and a low recurrence rate, with high safety profile, and may be a feasible surgical option for the treatment of PHN.
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Affiliation(s)
- Z Q Zhang
- Graduate School of Bengbu Medical College, Bengbu 233000, China Department of Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - G Luo
- Graduate School of Bengbu Medical College, Bengbu 233000, China Department of Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - J J Zhu
- Department of Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - H D Ni
- Department of Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - B Huang
- Department of Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - M Yao
- Department of Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
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11
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Li A, Li YY, Wuqie QB, Li X, Zhang H, Wang Y, Wang YL, Zhu JJ, Lin YQ. Effect of ACADL on the differentiation of goat subcutaneous adipocyte. Anim Biosci 2023; 36:829-839. [PMID: 36634657 PMCID: PMC10164536 DOI: 10.5713/ab.22.0308] [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: 08/09/2022] [Accepted: 12/24/2022] [Indexed: 01/12/2023] Open
Abstract
Objective The aim of this study was to clone the mRNA sequence of the ACADL gene of goats and explore the effect of ACADL on the differentiation of subcutaneous fat cells on this basis. Methods We obtained the ACADL gene of goats by cloning and used -qPCR to detect the ACADL expression patterns of different goat tissues and subcutaneous fat cells at different lipid induction stages. In addition, we transfect intramuscular and subcutaneous adipocytes separately by constructing overexpressed ACADL vectors and synthesizing Si-ACADL; Finally, we observed the changes in oil red stained cell levels under the microscope, and qPCR detected changes in mRNA levels. Results The results showed goat ACADL gene expressed in sebum fat. During adipocyte differentiation, ACADL gradually increased from 0 to 24 h of culture, and decreased. Overexpression of ACADL promoted differentiation of subcutaneous adipocytes in goat and inhibited their differentiation after interference. Conclusion So, we infer ACADL may have an important role in positive regulating the differentiation process in goat subcutaneous adipocytes. This study will provide basic data for further study of the role of ACADL in goat subcutaneous adipocyte differentiation and lays the foundation for final elucidating of its molecular mechanisms in regulating subcutaneous fat deposition in goats.
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Affiliation(s)
- A Li
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - Y Y Li
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - Q B Wuqie
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - X Li
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - H Zhang
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - Y Wang
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - Y L Wang
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - J J Zhu
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
| | - Y Q Lin
- 1 Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization of Education Ministry, Southwest Minzu University, Chengdu, China.,Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Exploitation of Sichuan Province, Southwest Minzu University, Chengdu, China.,College of Animal & Veterinary Science, Southwest Minzu University, Chengdu, China
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12
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Zhang YP, Zhang J, Cheng SK, Zhu JJ, Isobe M, Zhang PF, Yuan GL, Zhan XW, Zhu YX, Liu Y, Shi ZB, Zhong WL, Xu M. A gamma ray spectrometer with Compton suppression on the HL-2A tokamak. Rev Sci Instrum 2022; 93:123509. [PMID: 36586945 DOI: 10.1063/5.0117186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 11/15/2022] [Indexed: 06/17/2023]
Abstract
A new broad-energy, high-resolution gamma ray spectrometer (GRS) with Compton suppression function has been developed recently in the HL-2A tokamak to obtain the gamma ray information in the energy range of 0.1-10 MeV. This is the first time to develop an anti-Compton GRS for a magnetic confinement fusion device. The anticoincidence detector consists of a large-volume high purity germanium (HPGe) crystal (Φ63 × 63 mm2) as the primary detector and eight trapezoidal bismuth germinate (BGO) scintillators (trapezoid crystal with 30 mm thickness) as the secondary detector. The anti-coincidence data processing is implemented by a digital-based data acquisition system with fast digitization and software signal processing technology. Using radioisotope gamma ray sources and Monte Carlo N-Particle code, the energy and efficiency of the spectrometer have been calibrated and quantitatively tested. The Compton continuum suppression factor reaches 4.2, and the energy resolution (Full Width at Half Maximum) of the 1.332 MeV full energy peak for 60Co is 2.1 keV. Measurements of gamma ray spectra with Compton suppression using the spectrometer have been successfully performed during HL-2A discharges with different conditions. The performance of the spectrometer and the first experimental results are presented in this paper.
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Affiliation(s)
- Y P Zhang
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - J Zhang
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - S K Cheng
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - J J Zhu
- Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610041, China
| | - M Isobe
- National Institute for Fusion Science, National Institutes of Natural Sciences, Toki, Japan
| | - P F Zhang
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - G L Yuan
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - X W Zhan
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - Y X Zhu
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - Yi Liu
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - Z B Shi
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - W L Zhong
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
| | - M Xu
- Southwestern Institute of Physics, PO Box 432, Chengdu 610041, China
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13
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Zhang ZY, Yang LT, Yue Q, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen YH, Cheng JP, Dai WH, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Ma H, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Saraswat K, Sharma V, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yeh CH, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Sub-GeV Dark Matter-Electron Scattering from the CDEX-10 Experiment. Phys Rev Lett 2022; 129:221301. [PMID: 36493436 DOI: 10.1103/physrevlett.129.221301] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
We present improved germanium-based constraints on sub-GeV dark matter via dark matter-electron (χ-e) scattering using the 205.4 kg·day dataset from the CDEX-10 experiment. Using a novel calculation technique, we attain predicted χ-e scattering spectra observable in high-purity germanium detectors. In the heavy mediator scenario, our results achieve 3 orders of magnitude of improvement for m_{χ} larger than 80 MeV/c^{2} compared to previous germanium-based χ-e results. We also present the most stringent χ-e cross-section limit to date among experiments using solid-state detectors for m_{χ} larger than 90 MeV/c^{2} with heavy mediators and m_{χ} larger than 100 MeV/c^{2} with electric dipole coupling. The result proves the feasibility and demonstrates the vast potential of a new χ-e detection method with high-purity germanium detectors in ultralow radioactive background.
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Affiliation(s)
- Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - K Saraswat
- Institute of Physics, Academia Sinica, Taipei 11529
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - C H Yeh
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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14
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Dai WH, Jia LP, Ma H, Yue Q, Kang KJ, Li YJ, An HP, C G, Chang JP, Chen YH, Cheng JP, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Karmakar S, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhang ZY, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Exotic Dark Matter Search with the CDEX-10 Experiment at China's Jinping Underground Laboratory. Phys Rev Lett 2022; 129:221802. [PMID: 36493447 DOI: 10.1103/physrevlett.129.221802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg day data taken from a p-type point contact germanium detector of the CDEX-10 experiment at China's Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption (χ+A→ν+A) and DM-nucleus 3→2 scattering (χ+χ+A→ϕ+A), have been analyzed with an energy threshold of 160 eVee. No significant signal was found; thus new limits on the DM-nucleon interaction cross section are set for both models at the sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be 2.5×10^{-46} cm^{2} (90% C.L.) at DM mass of 10 MeV/c^{2}. For the DM-nucleus 3→2 scattering scenario, limits are extended to DM mass of 5 and 14 MeV/c^{2} for the massless dark photon and bound DM final state, respectively.
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Affiliation(s)
- W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | - Greeshma C
- Institute of Physics, Academia Sinica, Taipei 11529
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - S Karmakar
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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15
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Zhu JJ, Chinea L, Quintero JCR, Ware C. NCMP-13. TOLERANCE OF HIGH-DOSE METHOTREXATE TREATMENT OF PRIMARY CENTRAL NERVOUS SYSTEM LYMPHOMA (PCNSL) PATIENTS WITH RENAL IMPAIRMENT, CASE SERIES AND REVIEW OF LITERATURE. Neuro Oncol 2022. [PMCID: PMC9660796 DOI: 10.1093/neuonc/noac209.741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
PCNSL in immune competent patients is a rare extra-nodal non-Hodgkin lymphoma that accounts for 3–4% of newly diagnosed CNS tumors. Treatment consists of high-dose methotrexate (HD-MTX) based polychemotherapy regimen with or without brain radiation. There are few reported cases supporting the use of HD-MTX as a treatment option in such patients with impaired renal function. The objective of this study was to analyze outcomes and tolerance of HD-MTX based chemotherapy regimen (HD-MTX, rituximab and temozolomide, MRT) in patients with PCNSL and renal impairment. We present five patients with median age 63 (range 40 – 67) at diagnosis, with varying degrees of renal impairments, were all treated with and tolerated well of MRT. They are all alive and have been on observation. Cases 2 & 3 had a one functioning kidney and achieved complete responses (CR) without toxicities. Case 1, with history of grade 3 renal insufficiency during his initial HD-MTX and received carboxypeptidase G2 rescue, tolerated re-treatment with MRT at PCNSL recurrence and achieved a partial response (PR) that has been stable for 44 months. Case 4, who had a cadaver-transplanted kidney, was able to get a CR after 8 treatment with MRT. Case 5, with grade 3 chronic kidney disease from type II diabetes mellitus, achieved CR with MRT with slowing down of his MTX clearance. Literature review for reports with PCNSL and renal impairment treated with HD-MTX through March 31, 2022 identified eight cases and their responses and adverse effects summarized. Due to the low number of published cases and limitation of a retrospective analysis, it is impossible to draw a conclusion on the impact of impaired renal function on the tolerance of HD-MTX treatment of PCNSL. However, our findings indicate that a subset of the patients may still benefit from treatment with HD-MTX based chemotherapy.
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Affiliation(s)
- Jay-Jiguang Zhu
- university of texas health science center at houston , Houston, TX , USA
| | - Luis Chinea
- university of texas health science center at houston , Houston, TX , USA
| | | | - Cornelius Ware
- university of texas health science center at houston , Houston, TX , USA
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16
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Guo CY, Wang JT, Ran ZX, Gong L, Zhu JJ, Li DC, Ding L. [The correlation between methylation in HPV16 long control region and cervical intraepithelial neoplasia grade 2 or more: a Meta-analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1821-1827. [PMID: 36444468 DOI: 10.3760/cma.j.cn112338-20220307-00172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the correlation between methylation in human papillomavirus 16 (HPV16) long control region (LCR) and cervical intraepithelial neoplasia grade ≥2 (CIN2+). Methods: The literature retrieval was conducted by using the databases of PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang data and Weipu according to the inclusion and exclusion criteria, and the retrieval period was from the establishment of the databases to February 27th, 2022. Software RevMan 5.3 and Stata 15.1 were used for Meta-analysis. Results: A total of 17 literatures were included involving 1 421 subjects. Results of Meta-analysis showed that OR of the correlation between methylation of HPV16 LCR and CIN2+ was 1.56 (95%CI: 0.70-3.47). Subgroup analysis showed that methylation of the 5' terminal, enhancer and promoter regions were not associated with CIN2+, while in four E2 binding sites (E2BS), the methylation of E2BS1, E2BS3 and E2BS4 increased the risk of CIN2+, with the ORs of 3.92 (95%CI: 1.92-7.99), 10.50 (95%CI: 3.67-30.04) and 3.65 (95%CI: 1.58-8.41), respectively. However, subgroup analysis on E2BS2 was not performed due to the limitation of the number of literatures. According to the different sources of population, the risk of CIN2+ in Chinese population was associated with methylation of HPV16 LCR (OR=2.14, 95%CI: 1.31-3.50). There was a correlation between the risk of CIN2+ and HPV16 LCR methylation in the population with pyrosequencing of HPV16 LCR, and OR was 1.75 (95%CI: 1.03-2.98). Conclusion: The risk of CIN2+ is correlated with the methylation of E2BS in HPV16 LCR, which can be used as potential biomarkers.
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Affiliation(s)
- C Y Guo
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - J T Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Z X Ran
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - L Gong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - J J Zhu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - D C Li
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - L Ding
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
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17
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Kata K, Rodriguez-Quintero JC, Arevalo OD, Zhang JJ, Bhattacharjee MB, Ware C, Dono A, Riascos-Castaneda R, Tandon N, Blanco A, Esquenazi Y, Ballester LY, Amsbaugh M, Day AL, Zhu JJ. BRAF/MEK Dual Inhibitors Therapy in Progressive and Anaplastic Pleomorphic Xanthoastrocytoma: Case Series and Literature Review. J Natl Compr Canc Netw 2022; 20:1193-1202.e6. [PMID: 36351333 DOI: 10.6004/jnccn.2022.7046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 06/20/2022] [Indexed: 11/11/2022]
Abstract
Recurrent and anaplastic pleomorphic xanthoastrocytoma (r&aPXA) is a rare primary brain tumor that is challenging to treat. Two-thirds of PXA tumors harbor a BRAF gene mutation. BRAF inhibitors have been shown to improve tumor control. However, resistance to BRAF inhibition develops in most cases. Concurrent therapy with MEK inhibitors may improve tumor control and patient survival. In this study, we identified 5 patients diagnosed with BRAF-mutated PXA who received BRAF and MEK inhibitors over a 10-year interval at our institution. Patient records were evaluated, including treatments, adverse effects (AEs), outcomes, pathology, next-generation sequencing, and MRI. The median age was 22 years (range, 14-66 years), 60% male, and 60% anaplastic PXA. Median overall survival was 72 months (range, 19-112 months); 1 patient died of tumor-related hemorrhage while off therapy, and the other 4 experienced long-term disease control (21, 72, 98, and 112 months, respectively). Dual BRAF/MEK inhibitors were well tolerated, with only grade 1-2 AEs, including rash, neutropenia, fatigue, abdominal discomfort, and diarrhea. No grade 3-5 AEs were detected. A literature review was also performed of patients diagnosed with BRAF-mutated PXA and treated with BRAF and/or MEK inhibitors through August 2021, with a total of 32 cases identified. The median age was 29 years (range, 8-57 years) and the median PFS and OS were 8.5 months (range, 2-35 months) and 35 months (range, 10-80 months), respectively. The most common AEs were grade 1-2 fatigue and skin rash. Results of this case series and literature review indicate that dual-drug therapy with BRAF and MEK inhibitors for r&aPXA with BRAF V600E mutation may delay tumor progression without unexpected AEs.
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Affiliation(s)
- Karolina Kata
- 1St. Louis Children's Hospital, Washington University School of Medicine, St. Louis, Missouri
- 2Texas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, Texas
| | - Juan C Rodriguez-Quintero
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 4Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
| | - Octavio D Arevalo
- 5Department of Radiology, Louisiana State University Health Shreveport, Shreveport, Louisiana
| | - Jackie J Zhang
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 6Chicago Medical School, Rosalind Franklin University of Medicine and Science, Chicago, Illinois
| | - Meenakshi Bidwai Bhattacharjee
- 7Department of Pathology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Cornelius Ware
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
| | - Antonio Dono
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Roy Riascos-Castaneda
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
- 9Department of Radiology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas; and
| | - Nitin Tandon
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Angel Blanco
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Yoshua Esquenazi
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Leomar Y Ballester
- 7Department of Pathology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 10Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mark Amsbaugh
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Arthur L Day
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
| | - Jay-Jiguang Zhu
- 3Vivian L. Smith Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 4Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, Texas
- 8Memorial Hermann-Texas Medical Center, Houston, Texas
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Zhu JJ, Goldlust SA, Kleinberg LR, Honnorat J, Oberheim Bush NA, Ram Z. Tumor Treating Fields (TTFields) therapy vs physicians' choice standard-of-care treatment in patients with recurrent glioblastoma: a post-approval registry study (EF-19). Discov Oncol 2022; 13:105. [PMID: 36239858 PMCID: PMC9568629 DOI: 10.1007/s12672-022-00555-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/08/2022] [Indexed: 11/29/2022] Open
Abstract
PURPOSE Tumor Treating Fields (TTFields) therapy, a noninvasive, anti-mitotic treatment modality, is approved for recurrent glioblastoma (rGBM) and newly diagnosed GBM based on phase III, EF-11 (NCT00379470) and EF-14 (NCT00916409) studies, respectively. The EF-19 study aimed to evaluate efficacy and safety of TTFields monotherapy (200 kHz) vs physicians' choice standard of care (PC-SOC; EF-11 historical control group) in rGBM. METHODS A prospective, post-marketing registry study of adults with supratentorial rGBM treated with TTFields therapy was conducted. Primary endpoint was overall survival (OS; intent-to-treat [ITT] population) and secondary endpoint was OS per-protocol (PP). Subgroup and toxicity analyses were conducted. RESULTS Median OS (ITT population) was comparable with TTFields monotherapy vs PC-SOC (7.4 vs 6.4 months, log-rank test P = 0.053; Cox test hazard ratio [HR] [95% CI], 0.66 [0.47-0.92], P = 0.016). The upper-bound HR (95% CI) was lower than pre-defined noninferiority (1.375 threshold). In the PP population, median OS was significantly longer for TTFields monotherapy vs PC-SOC (8.1 vs 6.4 months; log-rank test P = 0.017; Cox test HR [95% CI], 0.60 [0.42-0.85], P = 0.004). TTFields therapy showed increased benefit with extended use (≥ 18 h/day [averaged over 28 days]). TTFields therapy-related adverse events (AEs) by body system were lower vs PC-SOC: mainly mild-to-moderate skin AEs. CONCLUSION In the real-world setting, TTFields monotherapy showed comparable (ITT population) and superior (PP population) OS vs PC-SOC in rGBM. In line with previous results, TTFields therapy showed a favorable safety profile vs chemotherapy, without new safety signals/systemic effects. TRIAL REGISTRATION NCT01756729, registered December 20, 2012.
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Affiliation(s)
- Jay-Jiguang Zhu
- University of Texas Health Science Center in Houston (UTHealth)/Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin St., Suite 2800, Houston, TX, 77030, USA.
| | | | - Lawrence R Kleinberg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jérôme Honnorat
- Department of Neuro-Oncology, Hôpital Neurologique, Hospices Civils de Lyon, SynatAc Team, MELIS Institute, INSERM U1314/CNRS UMR5284, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
- Department of Neuro-Oncology, East Group Hospital, Hospices Civils de Lyon, Lyon Cedex, France
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery and Neurology, University of California, San Francisco, CA, USA
| | - Zvi Ram
- Tel Aviv Medical Center, Tel Aviv University School of Medicine, Tel Aviv, Israel
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19
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Lu G, Zhu P, Rao M, Linendoll N, Buja LM, Bhattacharjee MB, Brown RE, Ballester LY, Tian X, Pilichowska M, Wu JK, Hergenroeder GW, Glass WF, Chen L, Zhang R, Pillai AK, Hunter RL, Zhu JJ. Postmortem study of organ-specific toxicity in glioblastoma patients treated with a combination of temozolomide, irinotecan and bevacizumab. J Neurooncol 2022; 160:221-231. [PMID: 36203027 DOI: 10.1007/s11060-022-04144-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 09/20/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE Systemic chemotherapy including monotherapy with temozolomide (TMZ) or bevacizumab (BEV); two-drug combinations, such as irinotecan (IRI) and BEV, TMZ and BEV and a three-drug combination with TMZ, IRI and BEV (TIB) have been used in treating patients with progressive high-grade gliomas including glioblastoma (GBM). Most patients tolerated these regimens well with known side effects of hypertension, proteinuria, and reversible clinical myelosuppression (CM). However, organ- or system- specific toxicities from chemotherapy agents have never been examined by postmortem study. This is the largest cohort used to address this issue in glioma patients. METHODS Postmortem tissues (from all major systems and organs) were prospectively collected and examined by standard institution autopsy and neuropathological procedures from 76 subjects, including gliomas (N = 68, 44/M, and 24/F) and brain metastases (N = 8, 5/M, and 3/F) between 2009 and 2019. Standard hematoxylin and eosin (H&E) were performed on all major organs including brain specimens. Electronic microscopic (EM) study was carried out on 14 selected subject's kidney samples per standard EM protocol. Medical records were reviewed with adverse events (AEs) analyzed and graded according to the Common Terminology Criteria for Adverse Events (CTCAE), version 4.03. A swimmer plot was utilized to visualize the timelines of patient history by treatment group. The binary logistic regression models were performed to explore any associations between treatment strategies and incident myelosuppression. RESULTS Twenty-four glioma subjects were treated with TIB [median: 5.5 (range: 1-25) cycles] at tumor recurrence. Exposure to IRI significantly increased the frequency of CM (p = 0.05). No unexpected adverse events clinically, or permanent end-organ damage during postmortem examination was identified in glioma subjects who had received standard or prolonged duration of BEV, TMZ or TIB regimen-based chemotherapies except rare events of bone marrow suppression. The most common causes of death (COD) were tumor progression (63.2%, N = 43) followed by aspiration pneumonia (48.5%, N = 33) in glioma subjects. No COD was attributed to acute toxicity from TIB. The study also demonstrated that postmortem kidney specimen is unsuitable for studying renal ultrastructural pathological changes due to autolysis. CONCLUSION There is no organ or system toxicity by postmortem examinations among glioma subjects who received BEV, TMZ or TIB regimen-based chemotherapies regardless of durations except for occasional bone marrow suppression and reversible myelosuppression clinically. IRI, but not the extended use of TMZ, significantly increased CM in recurrent glioma patients. COD most commonly resulted from glioma tumor progression with infiltration to brain stem and aspiration pneumonia.
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Affiliation(s)
- Guangrong Lu
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth®) McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin Street, Suite 2800, Houston, TX, 77030, USA
| | - Ping Zhu
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth®) McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin Street, Suite 2800, Houston, TX, 77030, USA.,Department of Neurosurgery, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Mayank Rao
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth®) McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin Street, Suite 2800, Houston, TX, 77030, USA
| | - Nadine Linendoll
- Department of Hematology-Oncology, Tufts Medical Center, Boston, MA, 02111, USA
| | - L Maximilian Buja
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Meenakshi B Bhattacharjee
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Robert E Brown
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Leomar Y Ballester
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth®) McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin Street, Suite 2800, Houston, TX, 77030, USA.,Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Xuejun Tian
- Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, USA.,Department of Pathology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, 10467, USA
| | - Monika Pilichowska
- Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, USA
| | - Julian K Wu
- Department of Neurosurgery, Tufts Medical Center, Boston, MA, 02111, USA
| | - Georgene W Hergenroeder
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth®) McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin Street, Suite 2800, Houston, TX, 77030, USA
| | - Williams F Glass
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Lei Chen
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Rongzhen Zhang
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Anil K Pillai
- Diagnostic & Interventional Imaging, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Robert L Hunter
- Department of Pathology and Laboratory Medicine, UTHealth® McGovern Medical School, Houston, TX, 77030, USA
| | - Jay-Jiguang Zhu
- The Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston (UTHealth®) McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, 6400 Fannin Street, Suite 2800, Houston, TX, 77030, USA.
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Fujita Y, Nunez-Rubiano L, Dono A, Bellman A, Shah M, Rodriguez JC, Putluri V, Kamal AHM, Putluri N, Riascos RF, Zhu JJ, Esquenazi Y, Ballester LY. IDH1 p.R132H ctDNA and D-2-hydroxyglutarate as CSF biomarkers in patients with IDH-mutant gliomas. J Neurooncol 2022; 159:261-270. [PMID: 35816267 PMCID: PMC10183250 DOI: 10.1007/s11060-022-04060-1] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/06/2022] [Indexed: 10/17/2022]
Abstract
INTRODUCTION We aimed to evaluate IDH1 p.R132H mutation and 2-hydroxyglutarate (2HG) in cerebrospinal fluid (CSF) as biomarkers for patients with IDH-mutant gliomas. METHODS CSF was collected from patients with infiltrating glioma, and 2HG levels were measured by liquid chromatography-mass spectrometry. IDH1 p.R132H mutant allele frequency (MAF) in CSF-ctDNA was measured by digital droplet PCR (ddPCR). Tumor volume was measured from standard-of-care magnetic resonance images. RESULTS The study included 48 patients, 6 with IDH-mutant and 42 with IDH-wildtype gliomas, and 57 samples, 9 from the patients with IDH-mutant and 48 from the patients with IDH-wildtype gliomas. ctDNA was detected in 7 of the 9 samples from patients with IDH-mutant glioma, and IDH1 p.R132H mutation was detected in 5 of the 7 samples. The MAF ranged from 0.3 to 39.95%. Total 2HG level, D-2HG level, and D/L-2HG ratio in CSF were significantly higher in patients with IDH-mutant gliomas than in patients with IDH-wildtype gliomas. D-2HG level and D/L-2HG ratio correlated with total tumor volume in patients with IDH-mutant gliomas but not in patients with IDH-wildtype gliomas. CONCLUSION Our results suggest that detection of IDH1 p.R132H mutation by ddPCR and increased D-2HG level in CSF may help identify IDH-mutant gliomas. Our results also suggest that D-2HG level and D/L-2HG ratio correlate with tumor volume in patients with IDH-mutant gliomas. Further prospective studies with larger cohorts are needed to validate these findings.
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Affiliation(s)
- Yoko Fujita
- Vivian L. Smith Department of Neurosurgery McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Luis Nunez-Rubiano
- Department of Radiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Antonio Dono
- Vivian L. Smith Department of Neurosurgery McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Allison Bellman
- Department of Pathology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Mauli Shah
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 2130 West Holcombe Boulevard, Houston, TX, 77030, USA
| | - Juan C Rodriguez
- Vivian L. Smith Department of Neurosurgery McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Vasanta Putluri
- Advanced Technology Core, Metabolomics Core, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Abu Hena Mostafa Kamal
- Advanced Technology Core, Metabolomics Core, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Nagireddy Putluri
- Advanced Technology Core, Metabolomics Core, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Roy F Riascos
- Department of Radiology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin Street, Houston, TX, 77030, USA
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery McGovern Medical School, The University of Texas Health Science Center, 6431 Fannin Street, Houston, TX, 77030, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA.
- Center for Precision Health, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
| | - Leomar Y Ballester
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, 1515 Holcombe Blvd., Unit 85, Houston, TX, 77030, USA.
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 2130 West Holcombe Boulevard, Houston, TX, 77030, USA.
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21
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Yao ZM, Zhang X, Yang SX, Zhu JJ, Hu XX, Shen T. [The role of STAT-6/KLF-4/PPAR-γ activation in alveolar macrophage polarization changes in silica-induced pulmonary fibrosis]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:481-486. [PMID: 35915936 DOI: 10.3760/cma.j.cn121094-20211101-00532] [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: 06/15/2023]
Abstract
Objective: To observe the effect of silicon dioxide (SiO(2)) on the polarization of alveolar macrophages (AMs) , and to explore the expressions and the significance of signal transducer and activator of transcription-6 (STAT-6) /Krüppel-like factor-4 (KLF-4) /peroxisome proliferators-activated receptors-γ (PPAR-γ) signaling molecules in AMs. Methods: In November 2020, C57BL/6 mice were randomly divided into crystalline SiO(2) group and normal saline (NS) group, and 12 mice in each group. Mice were intratracheally instillated with 100 μl crystalline SiO(2) suspension (20 mg/ml) or 100 μl NS, and were sacrificed after 28 days. Masson staining was used to observe the degree of pulmonary fibrosis of mice and hydroxyproline (HYP) level were assessed. The proportions of M1-typed and M2-typed AMs in bronchoalveolar lavage fluid (BLAF) were analyzed by flow cytometry. The mRNA relative expression levels of inducible nitric oxide synthase (iNOS) , arginidase-1 (Arg-1) , interleukin (IL) -1β, tumor necrosis factor-α (TNF-α) , IL-6, IL-10, transforming growth factor-β (TGF-β) , STAT-6, KLF-4 and PPAR-γ were detected by real-time fluorescence quantitative PCR. Activities of iNOS and Arg-1, as well as contents of IL-1β, TNF-α, IL-6, IL-10 and TGF-β were assessed by the enzyme-linked immunosorbent. The protein relative expression levels of phosphorylation-signal transducer and activator of transcription-6 (p-STAT-6) , KLF-4 and PPAR-γ were evaluated by immunofluorescence. Results: After 28 days of treatment, the structure of the lung tissue of the mice was destroyed, and the deposition of collagen was significantly increased in the crystalline SiO(2) group. Compared with NS group, HYP level of lung tissue in crystalline SiO(2) group were increased, the proportion of M2-typed AMs in crystalline SiO(2) group was increased, the proportion of M1-typed AMs in crystalline SiO(2) group was decreased, the mRNA relative expressions and contents of Arg-1, IL-10, TGF-β in crystalline SiO(2) group were significantly increased, the mRNA relative expressions and contents of iNOS, IL-1β, TNF-α, IL-6 in crystalline SiO(2) group were significantly decreased, the mRNA of STAT-6, KLF-4, PPAR-γ and the protein relative expression levels of p-STAT-6, KLF-4, PPAR-γ were significantly increased in crystalline SiO(2) group, and the the differences were statistically significant (P<0.05) . Conclusion: Crystalline SiO(2) may mediate the process of pulmonary fibrosis through promote AMs polarization toward M2-typed by activating the STAT-6/KLF-4/PPAR-γ signaling pathway.
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Affiliation(s)
- Z M Yao
- Department of Occupation Health and Environment Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - X Zhang
- Department of Occupation Health and Environment Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - S X Yang
- Department of Special Medicine, School of Basic Medicine, Anhui Medical University, Hefei 230032, China
| | - J J Zhu
- Department of Occupation Health and Environment Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - X X Hu
- Department of Occupation Health and Environment Health, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - T Shen
- Department of Occupation Health and Environment Health, School of Public Health, Anhui Medical University, Hefei 230032, China
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22
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Zhao P, Xu Y, Jiang LL, Fan X, Ku Z, Li L, Liu X, Deng M, Arase H, Zhu JJ, Huang TY, Zhao Y, Zhang C, Xu H, Tong Q, Zhang N, An Z. LILRB2-mediated TREM2 signaling inhibition suppresses microglia functions. Mol Neurodegener 2022; 17:44. [PMID: 35717259 PMCID: PMC9206387 DOI: 10.1186/s13024-022-00550-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 06/08/2022] [Indexed: 12/18/2022] Open
Abstract
Background Microglia plays crucial roles in Alzheimer’s disease (AD) development. Triggering receptor expressed on myeloid cells 2 (TREM2) in association with DAP12 mediates signaling affecting microglia function. Here we study the negative regulation of TREM2 functions by leukocyte immunoglobulin-like receptor subfamily B member 2 (LILRB2), an inhibitory receptor bearing ITIM motifs. Methods To specifically interrogate LILRB2-ligand (oAβ and PS) interactions and microglia functions, we generated potent antagonistic LILRB2 antibodies with sub-nanomolar level activities. The biological effects of LILRB2 antagonist antibody (Ab29) were studied in human induced pluripotent stem cell (iPSC)–derived microglia (hMGLs) for migration, oAβ phagocytosis, and upregulation of inflammatory cytokines. Effects of the LILRB2 antagonist antibody on microglial responses to amyloid plaques were further studied in vivo using stereotaxic grafted microglia in 5XFAD mice. Results We confirmed the expression of both LILRB2 and TREM2 in human brain microglia using immunofluorescence. Upon co-ligation of the LILRB2 and TREM2 by shared ligands oAβ or PS, TREM2 signaling was significantly inhibited. We identified a monoclonal antibody (Ab29) that blocks LILRB2/ligand interactions and prevents TREM2 signaling inhibition mediated by LILRB2. Further, Ab29 enhanced microglia phagocytosis, TREM2 signaling, migration, and cytokine responses to the oAβ-lipoprotein complex in hMGL and microglia cell line HMC3. In vivo studies showed significantly enhanced clustering of microglia around plaques with a prominent increase in microglial amyloid plaque phagocytosis when 5XFAD mice were treated with Ab29. Conclusions This study revealed for the first time the molecular mechanisms of LILRB2-mediated inhibition of TREM2 signaling in microglia and demonstrated a novel approach of enhancing TREM2-mediated microglia functions by blocking LILRB2-ligand interactions. Translationally, a LILRB2 antagonist antibody completely rescued the inhibition of TREM2 signaling by LILRB2, suggesting a novel therapeutic strategy for improving microglial functions. Supplementary Information The online version contains supplementary material available at 10.1186/s13024-022-00550-y.
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Affiliation(s)
- Peng Zhao
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yuanzhong Xu
- Center for Metabolic and Degenerative Diseases, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lu-Lin Jiang
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Xuejun Fan
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zhiqiang Ku
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Leike Li
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xiaoye Liu
- Department of Physiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Mi Deng
- Department of Physiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Hisashi Arase
- Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, University of Texas Health Science Center in Houston, McGovern Medical School and Memorial Hermann, Houston, TX, USA
| | - Timothy Y Huang
- Neuroscience Initiative, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, 92037, USA
| | - Yingjun Zhao
- State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Chengcheng Zhang
- Department of Physiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Huaxi Xu
- State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Qingchun Tong
- Center for Metabolic and Degenerative Diseases, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ningyan Zhang
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA.
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Ram Z, Kim CY, Hottinger AF, Idbaih A, Nicholas G, Zhu JJ. Corrigendum: Efficacy and Safety of Tumor Treating Fields (TTFields) in Elderly Patients With Newly Diagnosed Glioblastoma: Subgroup Analysis of the Phase 3 EF-14 Clinical Trial. Front Oncol 2022; 12:902929. [PMID: 35494031 PMCID: PMC9040518 DOI: 10.3389/fonc.2022.902929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 12/02/2022] Open
Affiliation(s)
- Zvi Ram
- Department of Neurosurgery, Tel Aviv Medical Center and Tel Aviv University School of Medicine, Tel Aviv, Israel
- *Correspondence: Zvi Ram,
| | - Chae-Yong Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Andreas F. Hottinger
- Department of Clinical Neuroscience, CHUV Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland
| | - Ahmed Idbaih
- Service de Neurologie 2-Mazarin, Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière—Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Garth Nicholas
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, University of Texas Health Science Center at Houston, Houston, TX, United States
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Zhu JJ, Wang JT, Gong L, Ran ZX, Guo CY, Song L, Lyu YJ, Ding L. [A nested case-control study on the relationship between red blood cell folate and the prognosis of low-grade cervical intraepithelial neoplasia]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:453-458. [PMID: 35488542 DOI: 10.3760/cma.j.cn112150-20210906-00869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To evaluate the relationship between red blood cell folate (RBC folate) and the prognosis of low-grade cervical intraepithelial neoplasia (CIN 1). Methods: In the married women cohort established in 2014, 564 women with CIN 1 diagnosed by pathology were recruited. The demographic characteristics and factors of cervical intraepithelial neoplasia were collected. Meanwhile, the infection status of human papillomavirus (HPV) was detected by molecular diversion hybridization, and the level of RBC folate was measured by chemical photoimmunoassay. After 24 months of follow-up, pathological examination was performed again to observe the prognosis of participants. The women with reversal were taken as the control group,and those with continuous and progressive CIN 1 were taken as the case group respectively. The relationship between RBC folate and CIN 1 outcome was evaluated by logistic regression model. Results: 453 women completed the follow-up, aged (49.72±6.84) years old. CIN 1 was reversed in 342 women, continued in 58 cases and progressed in 53 cases. The RBC folate level M (Q1,Q3) were 399.01 (307.10, 538.97) ng/ml, 316.98 (184.74, 428.49) ng/ml and 247.14 (170.54, 348.97) ng/ml, respectively. With the decrease of RBC folate, the risk of continuous and progressive CIN 1 increased (all P<0.001), while the risk of reversal CIN 1 decreased gradually (P<0.001). Combined with high-risk human papillomavirus (HR-HPV) infection status, low level of RBC folate could increase the risk of CIN 1 progression regardless of HR-HPV infection (HR-HPV infection: OR=21.34, 95%CI: 3.98-114.54; HR-HPV uninfection: OR=11.15, 95%CI: 2.34-53.13). Conclusion: Low level of RBC folate could increase the risk of CIN 1 persistence and progression regardless of HR-HPV infection.
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Affiliation(s)
- J J Zhu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - J T Wang
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - L Gong
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Z X Ran
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - C Y Guo
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - L Song
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - Y J Lyu
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
| | - L Ding
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China
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Kata K, Quintero JCR, Arevalo-Espejo O, Bhattacharjee MB, Ware C, Dono A, Riascos-Castaneda R, Tandon N, Blanco A, Esquenazi Y, Ballester LY, Amsbaugh M, Day AL, Zhu JJ. INNV-06. BRAF AND MEK DUAL INHIBITORS THERAPY IN RECURRENT OR ANAPLASTIC PLEOMORPHIC XANTHOASTROCYTOMA (PXA). Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab196.418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND AND OBJECTIVE
Recurrent and anaplastic pleomorphic xanthoastrocytoma (PXA) tumors are challenging to treat due to their rarity and lack of management consensus. About 80% of PXAs harbor BRAF gene mutation. Although the development of BRAF inhibitors has dramatically improved the outcomes for patients with BRAF V600E mutant tumors, resistance develops in the majority of cases. We hypothesize that dual BRAF/MEK inhibitors therapy can improve tumor control and patient survival without added toxicity.
METHODS
Medical records from 2010 to 2021 in Memorial Hermann Texas Medical Center were reviewed. Patients diagnosed with PXA who received BRAF and/or MEK inhibitors therapies were identified. The data evaluated included age, sex, treatment received, side effects, and outcomes, as well as results from blood tests, pathology, next generation sequencing and MRI. Side effects were evaluated according to the CTCAE Version 5.0.
RESULTS
Five patients with recurrent or anaplastic PXA were identified. The median age at diagnosis was 22 years old (range 14-66 years old), with 60% male, and 60% grade III. All patients received BRAF/MEK dual inhibitors therapy at various stages of PXA treatment. The median follow-up was 72 months (range 17-108 months). One patient (66 years old) experienced short-term disease stability for 5 months and who died from tumor related brain hemorrhage while off therapy for 9 months. Four patients experienced long-term disease control (17, 22, 94, 108 months, respectively) while three of them remain on dual therapy and one patient died from systemic PXA progression. Dual BRAF/MEK inhibitors were well tolerated with only grade 1-2 adverse effects (AE) including skin rash, fatigue, mild abdominal discomfort, diarrhea. No grade III-V AE were detected.
CONCLUSION
BRAF/MEK dual inhibitor can provide potential clinical benefit to PXA patients with BRAF mutations. Our study supports the concurrent use of BRAF/MEK inhibitors for best tumor control without unexpected AE.
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Affiliation(s)
- Karolina Kata
- St. Louis Children's Hospital Washington University School of Medicine, St. Louis, MO, USA
| | - Juan Carlos Rodriguez Quintero
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Octavio Arevalo-Espejo
- Department of Radiology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Meenakshi Bidwai Bhattacharjee
- Department of Pathology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Cornelius Ware
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Antonio Dono
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Roy Riascos-Castaneda
- Department of Radiology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Angel Blanco
- Department of Radiation Oncology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Leomar Y Ballester
- Department of Pathology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Mark Amsbaugh
- Department of Radiation Oncology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Arthur L Day
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
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Zhu P, Du X, Tandon N, Esquenazi Y, Zhu JJ. EPID-22. IMPROVED SHORT-TERM OUTCOMES AND LONG-TERM SURVIVORSHIP IN RELATION TO IMMUNOTHERAPY FOR PATIENTS WITH GLIOBLASTOMA BASED ON ANALYSIS OF THE NATIONAL CANCER DATABASE (NCDB). Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab196.355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
OBJECTIVES
To explore the impact of immunotherapy on short-term outcomes and long-term survival rates, and the predictors of immunotherapy receipt in patients with glioblastoma (GBM) using NCDB.
METHODS
A total of 74245 GBM patients were derived from the NCDB from 2004 to 2014. Analyses include short-term outcomes (at least 6-month, 1-year, or 2-year after diagnosis) and long-term survivorship (at least 3-year). The Kaplan-Meier method and accelerated failure time (AFT) models were performed for survival analysis. The multivariable binary logistic regressions were applied to identify predictors of immunotherapy receipt. Random survival forest was conducted to validate the variable importance and decision tree as well.
RESULTS
A total of 766 (1.0%) GBM patients received immunotherapy as the first-line treatment. The multivariable binary logistic regressions identified the significant predictors related to immunotherapy receipt, including the recent years of diagnosis (especially 2013 and 2014), age < 65 years, higher income, private insurance, residence-hospital distance >50 miles, care transition, treatment at the facility located in South regions or academic facilities, and adjuvant therapy. After adjusting socio-demographics, facility characteristics, and clinical treatments (surgery and adjuvant therapy), patients received immunotherapy experienced the significantly prolonged OS compared to those who didn’t [OS (months): 16.0 vs. 9.8, log-rank test p-value: < 0.001; Time Ratio (TR): 1.26 vs. 1.00 (Ref.), multivariable AFT p-value: < 0.001]. In multivariable logistic regressions, compared to patients without immunotherapy, the likelihoods of 6-month (OR: 3.89, p< 0.001), 1-year (OR: 2.38, p< 0.001), and 2-year (OR: 1.58, p=0.001) survival rates were significantly increased for those received immunotherapy. Regarding the long-term survivorship, immunotherapy was significantly associated with a 68% higher likelihood of 3-year survival rate (p=0.004).
CONCLUSIONS
Our findings demonstrated that immunotherapy in GBM patients, albeit small sample size, was significantly associated with improved short-term outcomes and 3-year survivorship after adjusting traditional clinical treatments and other covariates.
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Affiliation(s)
| | | | - Nitin Tandon
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
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Bota D, Butowski N, Piccioni D, De la Fuente M, Mao Y, Li WB, Trusheim J, Fink K, Campian J, Lobbous M, Portnow J, Zhu JJ, Pearlman M, Rudnick J, Lesser G, Drappatz J, Vaillant B, Sun SL, Luo W. CTNI-08. DB102-01 ENGAGE STUDY: A BIOMARKER-GUIDED, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED, MULTI-CENTER PHASE 3 CLINICAL TRIAL OF DB102 IN PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA (GBM). Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab196.233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Precision medicine is vital for treating many cancers. Lack of valid biomarkers might contribute to the failure of drug therapy for GBM. The Denovo Genomic Marker 1 (DGM1), a novel pharmacogenomic biomarker, has been discovered by a genome-wide screen of patients treated with DB102 (enzastaurin) in a trial for lymphoma. Similarly, retrospective analyses showed that DB102 significantly improved outcomes in the biomarker positive GBM patients treated with DB102, regardless of MGMT promoter methylation status. The ENGAGE Study (DB102-01, NCT03776071) is a global Phase 3 clinical trial to confirm clinical benefits in patients with newly diagnosed GBM who are DGM1 biomarker positive. This is a prospective, randomized, double-blind, placebo-controlled, multi-center study. A total of 318 patients with newly diagnosed GBM will be enrolled. After screening, patients will be randomized to receive radiation therapy (RT) and temozolomide (TMZ) plus either DB102 or a matched placebo for 6 weeks in the Concurrent Phase, followed by DB102 or placebo for approximately 5 weeks in the Single-Agent Phase and then TMZ plus DB102 or placebo in the Adjuvant Phase (up to 12 cycles). Thereafter DB102 or placebo may be continued as a single agent for up to 2 years. The primary endpoint is overall survival (OS). The secondary endpoints include progression free survival (PFS), objective response rate (ORR) and drug safety. By April 2021, the safety-run-in part was completed. The study is now open for enrollment in the US and soon in Canada and China.
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Affiliation(s)
- Daniela Bota
- Daniela Bota, University of California Irvine, Irvine, CA, USA
| | | | - David Piccioni
- University of California San Diego Moores Cancer Center, La Jolla, CA, USA
| | - Macarena De la Fuente
- Sylvester Comprehensive Cancer Center, University of Miami Hospital and Clinics, Miami, FL, USA
| | - Ying Mao
- Shanghai Fudan University, Shanghai, China (People's Republic)
| | - Wen-Bin Li
- Beijing Tian Tan Hospital, Capital Medical University, Beijing, China (People's Republic)
| | - John Trusheim
- John Nasseff Neuroscience Institute, Minneapolis, MN, USA
| | - Karen Fink
- Baylor Scott & White, Sammons Cancer Center, Dallas, TX, USA
| | | | - Mina Lobbous
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jana Portnow
- City of Hope National Medical Center, Duarte, CA, USA
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | | | - Glen Lesser
- Wake Forest Baptist Health - Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Jan Drappatz
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian Vaillant
- Austin Cancer Center – Park St. David’s, Austin, TX, USA
| | | | - Wen Luo
- Denovo Biopharma LLC, San Diego, CA, USA
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Ram Z, Kim CY, Hottinger AF, Idbaih A, Nicholas G, Zhu JJ. Efficacy and Safety of Tumor Treating Fields (TTFields) in Elderly Patients with Newly Diagnosed Glioblastoma: Subgroup Analysis of the Phase 3 EF-14 Clinical Trial. Front Oncol 2021; 11:671972. [PMID: 34692470 PMCID: PMC8526342 DOI: 10.3389/fonc.2021.671972] [Citation(s) in RCA: 3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 08/31/2021] [Indexed: 01/05/2023] Open
Abstract
Background Understudied elderly patients comprise a large segment of high-risk patients with glioblastoma (GBM) that are challenging to treat. Tumor Treating Fields (TTFields) is a locoregional, noninvasive, antimitotic therapy delivering low-intensity, intermediate-frequency alternating electric fields to the tumor. In the phase 3 EF-14 clinical trial, TTFields (200 kHz) improved median progression-free survival (PFS) and median overall survival (OS) in patients with newly diagnosed GBM (ndGBM) when added concomitantly to maintenance temozolomide (TMZ). This EF-14 subgroup analysis evaluated the safety and efficacy of TTFields in elderly patients. Methods All 134 patients who are ≥65 years of age were included (TTFields/TMZ combination, n=89; TMZ monotherapy, n=45; 2:1 ratio of randomization). PFS and OS were analyzed using Kaplan-Meier methodology (α=0.05). Health-related quality-of-life (HRQoL) was assessed using the European Organisation for Research and Treatment of Cancer (EORTC) quality-of-life questionnaire QLQ-C30 supplemented with the brain tumor module (QLQ-BN20). Adverse events (AEs) were evaluated using Common Terminology Criteria for AEs (CTCAE) v4.0. Results The PFS was 6.5 months in patients randomized to the treatment group with TTFields/TMZ combination versus 3.9 months in patients treated with TMZ monotherapy (HR, 0.47; 95% CI, 0.30-0.74; P=0.0236). The OS was 17.4 months in patients treated with TTFields/TMZ combination versus 13.7 months in patients treated with TMZ monotherapy (HR, 0.51; 95% CI, 0.33-0.77; P=0.0204). Annual survival rates with TTFields/TMZ versus TMZ monotherapy were 39% (95% CI, 29-50%) versus 27% (95% CI, 15-41%; P=0.072) at 2 years, 19% (95% CI, 11-29%) versus 11% (95% CI, 4-23%; P=0.135) at 3 years, and 15% (95% CI, 7-25%) versus 0% at 5 years, respectively. There were no significant differences between groups in the preselected items of HRQoL assessment. Grade ≥3 systemic AEs were 46% in the TTFields/TMZ group versus 40% in the TMZ monotherapy group, without statistically significant difference between the two groups. The only TTFields-related AEs were reversible scalp skin reactions, with grades 1-2 and grade 3 skin reactions reported by 51% and 2% of patients, respectively. Conclusions Combining TTFields with maintenance TMZ significantly improved PFS and OS in elderly patients with ndGBM in the phase 3 EF-14 clinical trial, without significant increases in systemic toxicity or negatively affecting patient HRQoL. TTFields-related skin AEs were low-grade and manageable. Clinical Trial Registration https://clinicaltrials.gov/ct2/show/NCT00916409, identifier: NCT00916409.
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Affiliation(s)
- Zvi Ram
- Department of Neurosurgery, Tel Aviv Medical Center and Tel Aviv University School of Medicine, Tel Aviv, Israel
| | - Chae-Yong Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Andreas F Hottinger
- Department of Clinical Neuroscience, CHUV Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland
| | - Ahmed Idbaih
- Service de Neurologie 2-Mazarin, Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière-Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - Garth Nicholas
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, University of Texas Health Science Center at Houston, Houston, TX, United States
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Xu W, Xu JQ, Dai D, Zhu JJ, He Q, Xing XY, Chen YJ, Liu ZR. [Estimation of dietary salt intake in adult residents in Anhui province, 2019]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:823-826. [PMID: 34814473 DOI: 10.3760/cma.j.cn112338-20200703-00913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: Based on the data of the baseline survey of hypertension and sodium intake monitoring in Anhui province in 2019, the salt intake in adult residents was estimated. Methods: Multi-stage stratified cluster random sampling was used to select participants aged 18-69 years, questionnaire survey and related measurements were conducted. Salt intake in participants with different characteristics were estimated with complex sample and linearization of Taylor series based on design and the correlation between salt intake and blood pressure, waist circumference and BMI were tested by linear regression. Results: A total of 1 500 participants were included. The overall salt intake was 9.14 g/d, which was 9.84 g/d in men and 8.47 g/d in women (P<0.05). The differences in salt intake across different subgroups were significant (P<0.05). Univariate linear regression analysis showed that salt intake was positively correlated with SBP, DBP, waist circumference and BMI (P<0.05), while multivariate linear regression analysis (adjusted for other factors) only showed a positive correlation between salt intake and BMI (β=0.053,95%CI: 0.028-0.078, P<0.05). Conclusion: The dietary salt intake in adult residents in Anhui was higher than WHO recommendation, suggesting that public health education need to be taken to reduce salt intake.
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Affiliation(s)
- W Xu
- Department of Chronic and Non-communicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
| | - J Q Xu
- Department of Chronic and Non-communicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
| | - D Dai
- Department of Chronic and Non-communicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
| | - J J Zhu
- Department of Chronic and Non-communicable Disease Control and Prevention, Wuhu Prefectural Center for Disease Control and Prevention, Wuhu 241000, China
| | - Q He
- Department of Chronic and Non-communicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
| | - X Y Xing
- Department of Chronic and Non-communicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
| | - Y J Chen
- Department of Chronic and Non-communicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
| | - Z R Liu
- Anhui Provincial Center for Disease Control and Prevention, Heifei 230601, China
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Dono A, Mitra S, Shah M, Takayasu T, Zhu JJ, Tandon N, Patel CB, Esquenazi Y, Ballester LY. PTEN mutations predict benefit from tumor treating fields (TTFields) therapy in patients with recurrent glioblastoma. J Neurooncol 2021; 153:153-160. [PMID: 33881725 PMCID: PMC8363068 DOI: 10.1007/s11060-021-03755-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [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: 02/05/2021] [Accepted: 04/07/2021] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Optimal treatment for recurrent glioblastoma isocitrate dehydrogenase 1 and 2 wild-type (rGBM IDH-WT) is not standardized, resulting in multiple therapeutic approaches. A phase III clinical trial showed that tumor treating fields (TTFields) monotherapy provided comparable survival benefits to physician's chemotherapy choice in rGBM. However, patients did not equally benefit from TTFields, highlighting the importance of identifying predictive biomarkers of TTFields efficacy. METHODS A retrospective review of an institutional database with 530 patients with infiltrating gliomas was performed. Patients with IDH-WT rGBM receiving TTFields at first recurrence were included. Tumors were evaluated by next-generation sequencing for mutations in 205 cancer-related genes. Post-progression survival (PPS) was examined using the log-rank test and multivariate Cox-regression analysis. RESULTS 149 rGBM patients were identified of which 29 (19%) were treated with TTFields. No significant difference in median PPS was observed between rGBM patients who received versus did not receive TTFields (13.9 versus 10.9 months, p = 0.068). However, within the TTFields-treated group (n = 29), PPS was improved in PTEN-mutant (n = 14) versus PTEN-WT (n = 15) rGBM, (22.2 versus 11.6 months, p = 0.017). Within the PTEN-mutant group (n = 70, 47%), patients treated with TTFields (n = 14) had longer median PPS (22.2 versus 9.3 months, p = 0.005). No PPS benefit was observed in PTEN-WT patients receiving TTFields (n = 79, 53%). CONCLUSIONS TTFields therapy conferred a significant PPS benefit in PTEN-mutant rGBM. Understanding the molecular mechanisms underpinning the differences in response to TTFields therapy could help elucidate the mechanism of action of TTFields and identify the rGBM patients most likely to benefit from this therapeutic option.
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Affiliation(s)
- Antonio Dono
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
| | - Sonali Mitra
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
- Rice University, Houston, TX, 77030, USA
| | - Mauli Shah
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
| | - Takeshi Takayasu
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA
| | - Chirag B Patel
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA.
- Center for Precision Health, The University of Texas Health Science Center at Houston - McGovern Medical School, 6400 Fannin Street, Suite # 2800, Houston, TX, 77030, USA.
| | - Leomar Y Ballester
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA.
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center At Houston, Houston, TX, 77030, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, 77030, USA.
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Dono A, Amsbaugh M, Martir M, Smilie RH, Riascos RF, Zhu JJ, Hsu S, Kim DH, Tandon N, Ballester LY, Blanco AI, Esquenazi Y. Genomic alterations predictive of response to radiosurgery in recurrent IDH-WT glioblastoma. J Neurooncol 2021; 152:153-162. [PMID: 33492602 PMCID: PMC8354320 DOI: 10.1007/s11060-020-03689-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/26/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Despite aggressive treatment, glioblastoma invariably recurs. The optimal treatment for recurrent glioblastoma (rGBM) is not well defined. Stereotactic radiosurgery (SRS) for rGBM has demonstrated favorable outcomes for selected patients; however, its efficacy in molecular GBM subtypes is unknown. We sought to identify genetic alterations that predict response/outcomes from SRS in rGBM-IDH-wild-type (IDH-WT). METHODS rGBM-IDH-WT patients undergoing SRS at first recurrence and tested by next-generation sequencing (NGS) were reviewed (2009-2018). Demographic, clinical, and molecular characteristics were evaluated. NGS interrogating 205-genes was performed. Primary outcome was survival from GK-SRS assessed by Kaplan-Meier method and multivariable Cox proportional-hazards. RESULTS Sixty-three lesions (43-patients) were treated at 1st recurrence. Median age was 61-years. All patients were treated with resection and chemoradiotherapy. Median time from diagnosis to 1st recurrence was 8.7-months. Median cumulative volume was 2.895 cm3 and SRS median marginal dose was 18 Gy (median isodose-54%). Bevacizumab was administered in 81.4% patients. PFS from SRS was 12.9-months. Survival from SRS was 18.2-months. PTEN-mutant patients had a longer PFS (p = 0.049) and survival from SRS (p = 0.013) in multivariable analysis. Although no statistically significant PTEN-mutants patients had higher frequency of radiation necrosis (21.4% vs. 3.4%) and lower in-field recurrence (28.6% vs. 37.9%) compared to PTEN-WT patients. CONCLUSIONS SRS is a safe and effective treatment option for selected rGBM-IDH-WT patients following first recurrence. rGBM-IDH-WT harboring PTEN-mutation have improved survival with salvage SRS compared to PTEN-WT patients. PTEN may be used as a molecular biomarker to identify a subset of rGBM patients who may benefit the most from SRS.
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Affiliation(s)
- Antonio Dono
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Mark Amsbaugh
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Magda Martir
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Richard H Smilie
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Roy F Riascos
- Memorial Hermann Hospital-TMC, Houston, TX, USA
- Department of Diagnostic and Interventional Imaging, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Sigmund Hsu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Dong H Kim
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Leomar Y Ballester
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, USA.
| | - Angel I Blanco
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, USA.
- Center for Precision Health, School of Biomedical Informatics, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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Cloughesy TF, Petrecca K, Walbert T, Butowski N, Salacz M, Perry J, Damek D, Bota D, Bettegowda C, Zhu JJ, Iwamoto F, Placantonakis D, Kim L, Elder B, Kaptain G, Cachia D, Moshel Y, Brem S, Piccioni D, Landolfi J, Chen CC, Gruber H, Rao AR, Hogan D, Accomando W, Ostertag D, Montellano TT, Kheoh T, Kabbinavar F, Vogelbaum MA. Effect of Vocimagene Amiretrorepvec in Combination With Flucytosine vs Standard of Care on Survival Following Tumor Resection in Patients With Recurrent High-Grade Glioma: A Randomized Clinical Trial. JAMA Oncol 2021; 6:1939-1946. [PMID: 33119048 DOI: 10.1001/jamaoncol.2020.3161] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Importance New treatments are needed to improve the prognosis of patients with recurrent high-grade glioma. Objective To compare overall survival for patients receiving tumor resection followed by vocimagene amiretrorepvec (Toca 511) with flucytosine (Toca FC) vs standard of care (SOC). Design, Setting, and Participants A randomized, open-label phase 2/3 trial (TOCA 5) in 58 centers in the US, Canada, Israel, and South Korea, comparing posttumor resection treatment with Toca 511 followed by Toca FC vs a defined single choice of approved (SOC) therapies was conducted from November 30, 2015, to December 20, 2019. Patients received tumor resection for first or second recurrence of glioblastoma or anaplastic astrocytoma. Interventions Patients were randomized 1:1 to receive Toca 511/FC (n = 201) or SOC control (n = 202). For the Toca 511/FC group, patients received Toca 511 injected into the resection cavity wall at the time of surgery, followed by cycles of oral Toca FC 6 weeks after surgery. For the SOC control group, patients received investigators' choice of single therapy: lomustine, temozolomide, or bevacizumab. Main Outcomes and Measures The primary outcome was overall survival (OS) in time from randomization date to death due to any cause. Secondary outcomes reported in this study included safety, durable response rate (DRR), duration of DRR, durable clinical benefit rate, OS and DRR by IDH1 variant status, and 12-month OS. Results All 403 randomized patients (median [SD] age: 56 [11.46] years; 62.5% [252] men) were included in the efficacy analysis, and 400 patients were included in the safety analysis (3 patients on the SOC group did not receive resection). Final analysis included 271 deaths (141 deaths in the Toca 511/FC group and 130 deaths in the SOC control group). The median follow-up was 22.8 months. The median OS was 11.10 months for the Toca 511/FC group and 12.22 months for the control group (hazard ratio, 1.06; 95% CI 0.83, 1.35; P = .62). The secondary end points did not demonstrate statistically significant differences. The rates of adverse events were similar in the Toca 511/FC group and the SOC control group. Conclusions and Relevance Among patients who underwent tumor resection for first or second recurrence of glioblastoma or anaplastic astrocytoma, administration of Toca 511 and Toca FC, compared with SOC, did not improve overall survival or other efficacy end points. Trial Registration ClinicalTrials.gov Identifier: NCT02414165.
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Affiliation(s)
| | - Kevin Petrecca
- Montreal Neurological Institute, Montreal, Quebec, Canada
| | | | | | - Michael Salacz
- University of Kansas Medical Center, Kansas City, Kansas
| | - James Perry
- Sunnybrook Research Institute, Sunnybrook Hospital, Toronto, Canada
| | | | - Daniela Bota
- University of California, Irvine, Irvine, California
| | | | | | | | | | - Lyndon Kim
- Thomas Jefferson University, Philadelphia, Pennsylvania.,Mount Sinai Hospital, New York, New York
| | | | - George Kaptain
- John Theurer Cancer Center, Hackensack University, Hackensack, New Jersey
| | - David Cachia
- Medical University of South Carolina, Charleston, South Carolina
| | | | - Steven Brem
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Piccioni
- University of California San Diego, San Diego, California
| | | | | | - Harry Gruber
- Formerly Tocagen Inc, San Diego, California.,AmpiSwitch, San Diego, California
| | - Aliz R Rao
- Formerly Tocagen Inc, San Diego, California.,Bionano Genomics, San Diego, California
| | - Daniel Hogan
- Formerly Tocagen Inc, San Diego, California.,Impossible Foods, San Francisco, California
| | - William Accomando
- Formerly Tocagen Inc, San Diego, California.,Fate Therapeutics, San Diego, California
| | - Derek Ostertag
- Formerly Tocagen Inc, San Diego, California.,Abintus Bio, San Diego, California
| | - Tiffany T Montellano
- Formerly Tocagen Inc, San Diego, California.,Kura Oncology, San Diego, California
| | - Thian Kheoh
- Formerly Tocagen Inc, San Diego, California.,Mirati Therapeutics, San Diego, California
| | - Fairooz Kabbinavar
- Formerly Tocagen Inc, San Diego, California.,Puma Biotechnology, Los Angeles, California
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Shah M, Takayasu T, Zorofchian Moghadamtousi S, Arevalo O, Chen M, Lan C, Duose D, Hu P, Zhu JJ, Roy-Chowdhuri S, Riascos RF, Chen H, Luthra R, Esquenazi Y, Ballester LY. Evaluation of the Oncomine Pan-Cancer Cell-Free Assay for Analyzing Circulating Tumor DNA in the Cerebrospinal Fluid in Patients with Central Nervous System Malignancies. J Mol Diagn 2021; 23:171-180. [PMID: 33531134 DOI: 10.1016/j.jmoldx.2020.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 10/09/2020] [Accepted: 10/22/2020] [Indexed: 02/06/2023] Open
Abstract
Available tools to evaluate patients with central nervous system (CNS) tumors such as magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) cytology, and brain biopsies, have significant limitations. MRI and CSF cytology have poor specificity and sensitivity, respectively, and brain biopsies are invasive. Circulating tumor DNA in CSF (CSF-ctDNA) could be used as a biomarker in patients with CNS tumors, but studies in this area are limited. We evaluated four CSF-ctDNA extraction methods and analyzed mutations in CSF-ctDNA with the Oncomine Pan-Cancer cell-free assay. CSF-ctDNA was extracted from 38 patients with primary or metastatic CNS tumors and 10 patients without CNS malignancy. Commercial ctDNA controls were used for assay evaluation. CSF-ctDNA yields ranged from 3.65 to 3120 ng. Mutations were detected in 39.5% of samples. TP53 was the most commonly mutated gene and copy number alterations were detected in CCND1, MYC, and ERBB2/HER2. Twenty-five percent of CSF-cytology-negative samples showed mutations in CSF-ctDNA. There was good concordance between mutations in CSF-ctDNA and matching tumors. The QIAamp Circulating Nucleic Acid Kit was the optimal method for extraction of CSF-ctDNA and the Oncomine cell-free DNA assay is suitable for detection of mutations in CSF-ctDNA. Analysis of CSF-ctDNA is more sensitive than CSF-cytology and has the potential to improve the diagnosis and monitoring of patients with CNS tumors.
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Affiliation(s)
- Mauli Shah
- Graduate Program in Diagnostic Genetics, School of Health Professions, University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Takeshi Takayasu
- Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Soheil Zorofchian Moghadamtousi
- Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Octavio Arevalo
- Department of Radiology, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Melissa Chen
- Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chieh Lan
- Division of Pathology and Laboratory Medicine, Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dzifa Duose
- Division of Pathology and Laboratory Medicine, Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peter Hu
- Graduate Program in Diagnostic Genetics, School of Health Professions, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Memorial Hermann Hospital, Texas Medical Center, Houston, Texas
| | - Sinchita Roy-Chowdhuri
- Division of Pathology and Laboratory Medicine, Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Roy F Riascos
- Department of Radiology, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Hui Chen
- Division of Pathology and Laboratory Medicine, Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rajyalakshmi Luthra
- Division of Pathology and Laboratory Medicine, Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas; Division of Pathology and Laboratory Medicine, Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Memorial Hermann Hospital, Texas Medical Center, Houston, Texas.
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Memorial Hermann Hospital, Texas Medical Center, Houston, Texas.
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Shi W, Blumenthal DT, Bush NAO, Kebir S, Lukas RV, Muragaki Y, Zhu JJ, Glas M. Correction to: Global post‑marketing safety surveillance of Tumor Treating Fields (TTFields) in patients with high‑grade glioma in clinical practice. J Neurooncol 2021; 151:339. [PMID: 33398537 PMCID: PMC7875847 DOI: 10.1007/s11060-020-03681-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Wenyin Shi
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, 19107, USA.
| | - Deborah T Blumenthal
- Neuro‑Oncology Unit, Division of Oncology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Nancy Ann Oberheim Bush
- Department of Neurological Surgery and Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Sied Kebir
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.,West German Cancer Center, German Cancer Consortium, Partner Site Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Rimas V Lukas
- Department of Neurology, Northwestern University, Chicago, IL, USA.,Lou & Jean Malnati Brain Tumor Institute at the Lurie Comprehensive Cancer Center, Northwestern University, Chicago, USA
| | - Yoshihiro Muragaki
- Faculty of Advanced Techno‑Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, Tokyo, Japan.,Department of Neurosurgery, Tokyo Women's Medical University, Tokyo, Japan
| | - Jay-Jiguang Zhu
- McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Martin Glas
- Division of Clinical Neurooncology, Department of Neurology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.,West German Cancer Center, German Cancer Consortium, Partner Site Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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35
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Ram Z, Kim CY, Zhu JJ. CTNI-68. EFFICACY OF TTFIELDS IN ELDERLY PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA (GBM) – SUB-GROUP ANALYSIS OF THE EF-14 TRIAL. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
BACKGROUND
Tumor Treating Fields (TTFields) are an anti-mitotic, regional treatment that utilizes low intensity alternating electric fields delivered non-invasively to the tumor using a portable medical device. In the EF-14 phase 3 study leading to FDA approval, TTFields significantly extended survival in newly diagnosed GBM when added to maintenance temozolomide (TMZ). Elderly GBM patients usually have worse prognosis and often receive only partial treatment for the disease. This sub-group analysis examined the effects of TTFields in the elderly population (≥65 years of age) enrolled in the EF-14 study.
METHODS
All 134 elderly patients (≥65 years of age) from the EF-14’s intent-to-treat population were included in the analysis, Overall survival (OS) and progression-free survival (PFS), as well as adverse event frequency and severity were compared between the TMZ/TTFields arm and the TMZ alone arm.
RESULTS
The median age was 69 (range: 65–83), median KPS was 90%, and 69% were male. Median PFS from randomization was 6.5 months versus 3.9 months in the TMZ/TTFields versus TMZ alone arms, respectively (hazard ratio [HR], 0.47 [95%CI 0.30, 0.74] P< 0.0236). Median OS was 17.4 months versus 13.7 months in the TMZ/TTFields versus TMZ alone arm, respectively (HR 0.51 [CI 0.33, 0.77] P< 0.020). Serious adverse events (SAEs) were reported in 39% of patients treated with TMZ/TTFields and in 33% of patients treated with TMZ alone. None of the SAEs were considered related to TTFields but attributed to TMZ or to the underlying disease. Grades 1–2 skin AEs related to TTFields were observed in 51% of patients.
CONCLUSION
Consistent with the overall outcome of the EF-14 study, elderly patients treated with TMZ/TTFields showed significantly better OS compared to patients on TMZ alone, and without increase in grade III or IV toxicity.
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Affiliation(s)
- Zvi Ram
- Tel Aviv Medical Center, Tel Aviv, Israel
| | - Chae-Yong Kim
- Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
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Zhu JJ, O’Donnell RT, Goldlust S, Ram Z. CTNI-77. EF-19, A POST-APPROVAL REGISTRY STUDY OF TUMOR TREATING FIELDS (TTFIELDS) IN RECURRENT GLIOBLASTOMA (rGBM). Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Tumor Treating Fields (TTFields) are an anti-mitotic therapy of alternating electric fields delivered non-invasively to the tumor. In phase 3 studies leading to FDA-approvals, TTFields plus temozolomide (TMZ) significantly extended survival in newly diagnosed GBM, and achieved comparable survival to best standard of care (BSC) as monotherapy in recurrent GBM (rGBM). The EF-19 study evaluated efficacy of TTFields vs BSC in rGBM in post-approval real-life setting.
METHODS
This registry trial (192 rGBM patients, >21 yrs, KPS > 70) were treated with TTFields (200 kHz, >18h/day). Primary endpoint was overall survival (OS); secondary endpoints were OS in the per protocol (PP) population, time to treatment failure and adverse events (AEs). The registry data were compared to OS of all 117 patients in EF-11 BSC group (Stupp EJC 2012). The sample size (N=192) was based on non-inferiority log-rank test with two-sided alpha (0.05), 80% power, HR of 1.0 comparing TTFields to control with an upper one-sided 95% CI of HR < 1.375.
RESULTS
Median OS with TTFields versus EF-11 BSC was 7.4 versus 6.4 months, p=0.053; HR = 0.64 (95%CI 0.46–0.91, Cox-test P=0.012). Median OS (PP) with TTFields versus EF-11 BSC was 8.1 months versus 6.5 months; p=0.045; HR 0.65. OS was significantly higher TTFields as the 95% CI upper limit of HR was lower than the pre-defined threshold of 1.375. The overall incidence of AEs was lower with TTFields than EF-11 BSC (67% vs. 95%). The median time to treatment failure was longer in the TTFields arm (3.3 months (95% CI 2.6, 3.9) versus BSC arm (1.6 months; 95% CI 1.1, 1.9); HR=0.53 (95% CI 0.41, 0.68, p< 0.0001). Skin AE was the most common AE in the TTFields arm.
CONCLUSION
The results of the EF-19 registry study confirm the effectiveness and safety of TTFields monotherapy in rGBM.
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Affiliation(s)
- Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | | | | | - Zvi Ram
- Tel Aviv Medical Center, Tel Aviv, Israel
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Dono A, Zhu P, Holmes E, Takayasu T, Blanco A, Hsu S, Bhattacharjee M, Zhu JJ, Ballester LY, Esquenazi Y, Tandon N. SURG-23. REOPERATION IN MOLECULAR SUBTYPES OF RECURRENT GLIOBLASTOMA. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Recurrent glioblastoma (rGBM) treatment is not well defined and multiple therapeutic approaches have been proposed, none of which has shown to prolong survival in randomized trials. The role of reoperation for rGBM is still unclear. While most studies demonstrate improve overall survival (OS) and post-progression survival (PPS), recent studies employing time-dependent analysis appear to undermine the OS benefit in reoperated patients. Moreover, the relevance of rGBM molecular subtypes that benefit from reoperation is an important question that may guide clinical decision-making.
METHODS
A retrospective review of rGBM demographics, clinical, molecular, and outcome characteristics was performed for all cases managed by us between 01/2005 to 10/2019 at our institution. IDH1/IDH2 status was determined by immunohistochemistry and/or next-generation sequencing (NGS). A genetic subanalysis was conducted for most rGBM IDH-wildtype (IDH-WT) by NGS. The primary outcome was PPS. Kaplan-Meier method, multivariable Cox proportional-hazards model, and accelerated failure time model were performed in survival analysis. Random survival forest was applied to identify variable importance.
RESULTS
284 rGBM patients fulfill inclusion criteria, 145 (51.1%) had reoperation at their 1st recurrence. Reoperated patients were significantly younger, had better performance status, and had a higher extent of resection at initial surgery; meanwhile, they were less likely to receive bevacizumab. Patients undergoing reoperation experienced superior PPS (11.5 vs. 7.4, months, log-rank test: p= 0.002), which kept consistent in multivariable Cox model (HR: 0.62, p= 0.001). Moreover, reoperated rGBM IDH-WT (N= 238) had 37% reduced risk of post-progression death compared to non-reoperated patients. A subanalysis of rGBM IDH-WT molecular subtypes identified that EGFR mutant, NF1 wildtype, and TP53 wildtype subgroups could benefit from reoperation (all p< 0.008).
CONCLUSIONS
Maximal safe re-resection improved the PPS of rGBM regardless of their IDH status. Reoperation for 1st recurrence was especially beneficial for GBM IDH-WT harboring EGFR alteration, TP53 WT, and NF1-WT.
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Affiliation(s)
- Antonio Dono
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ping Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Emma Holmes
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Takeshi Takayasu
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Angel Blanco
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Sigmund Hsu
- Memorial Hermann Texas Medical Center, Houston, TX, USA
| | - Meenakshi Bhattacharjee
- McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Nitin Tandon
- McGovern Medical School At UTHealth, Houston, TX, USA
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Dono A, Mitra S, Takayasu T, Zhu JJ, Tandon N, Esquenazi Y, Ballester LY. BIOM-48. PTEN MUTATIONS PREDICT BENEFIT FROM TUMOR-TREATING FIELDS THERAPY IN PATIENTS WITH RECURRENT GLIOBLASTOMA. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Glioblastoma IDH-wildtype (GBM-IDH-WT) recurs despite the standard of care which includes surgical resection and concurrent chemoradiotherapy. Optimal treatment for recurrent GBM-IDH-WT (rGBM) is not standardized and multiple therapeutic approaches are utilized. Clinical trials have shown that Tumor-Treating Fields (TTF) provide equal benefits compared to physician’s chemotherapy choice for patients with rGBM. However, not all rGBM patients respond equally to TTF and understanding which patients will benefit from TTF therapy is critical.
METHODS
We reviewed clinical, molecular, and outcome characteristics of rGBM patients between 09/2009 to 2/2019 in our institution. Patients who received TTF-treatment at the time of 1st recurrence were selected for analysis. Tumors were analyzed for mutations in 315 cancer-related genes by next-generation sequencing. Post-progression survival (PPS) defined as the interval from 1st recurrence to death or the time of analysis, was examined using the Log-rank test and multivariable Cox-regression model.
RESULTS
149 rGBM patients were identified of which 29 (19%) were treated with TTF. Overall, no significant difference in survival was observed in rGBM patients who received TTF therapy (13.9-months vs 10.9-months, p= 0.06). However, among TTF-treated patients (n= 29), there was improved survival in PTEN-mutant (n= 14) patients compared to PTEN-wt (n= 15), (22.2-months vs 11.6- months, p= 0.017). No differences in TTF usage were observed between groups. Within the PTEN-mutant patients (70/149, 47%), those treated with TTF (n= 14) had longer PPS (22.2-months vs 9.3-months, p= 0.005). No survival benefit with TTF-treatment was observed in PTEN-wt patients (79/149, 53%).
CONCLUSIONS
Patients with GBM-PTEN-mutant tumors show a significant improvement in survival when treated with TTF at recurrence. Understanding the molecular mechanism underpinning the differences in response to TTF therapy could help elucidate the mechanism of action of TTF and identify patients that will benefit the most from this therapeutic option.
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Affiliation(s)
- Antonio Dono
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Takeshi Takayasu
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Nitin Tandon
- McGovern Medical School At UTHealth, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
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Zhu P, Du X, Esquenazi Y, Zhu JJ. EPID-30. PREDICTORS ASSOCIATED WITH LONG-TERM SURVIVORSHIP FOR PATIENTS WITH GLIOBLASTOMA USING THE NATIONAL CANCER DATABASE (NCDB). Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
OBJECTIVES
To investigate the long-term survival rates and the related predictors in patients with glioblastoma (GBM) using NCDB.
METHODS
A total of 51570 GBM patients were derived from the NCDB from 2004 to 2011. Three long-term survival measures were defined as patients who lived for at least 3-year, 5-year, or 10-year after diagnosis, respectively. Multivariable binary logistic regressions were performed to identify predictors in relation to 3-year, 5-year, and 10-year survival rates. The relative importance of each survival predictors was calculated, and random forest method was performed to validate the variable importance and decision tree as well.
RESULTS
A total of 4782 (9.3%), 1481 (3.9%), and 51 (0.9%) GBM patients survived at least 3-year, 5-year, and 10-years, respectively. Significant predictors related to both 3-year and 5-year survival rates from multivariable logistic regression included tumor resection, recent year of diagnosis, age < 65 years, private insurance, adjuvant therapy, non-whites, female, treatment at facility located in South regions or academic facilities, higher income, and non-comorbidity. Moreover, patients who traveled >50 miles for treatment and received care transition were significantly more likely to survival at least 3 years. However, only five predictors were associated with 10-year survivorship: residence-hospital distance >20 miles, non-whites, age < 65 years, resection, and higher income. Based on the calculations of relative importance and random forest method, the most important five factors to predict long-term survival were age, tumor resection, year of diagnosis, comorbidity, and adjuvant therapy (3-year survival); age, tumor resection, comorbidity, gender, and insurance (5-year survival); and age, race, residence-hospital distance, income, and comorbidity (10-year survival), respectively.
CONCLUSIONS
This study identifies non-molecular factors predicting long-term survivorship among GBM patients using NCDB dataset. Our findings suggested that 3-year and 5-year survivors share similar determinants, while 10-year survivors could be more different in socio-demographics and clinical features.
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Affiliation(s)
- Ping Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Xianglin Du
- The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
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40
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Zhu P, Du X, Blanco A, Ballester LY, Tandon N, Zhu JJ, Hadjipanayis C, Berger M, Esquenazi Y. EPID-34. THE DETRIMENTAL EFFECT OF BIOPSY PRECEDING RESECTION IN SURGICALLY ACCESSIBLE GLIOBLASTOMAS: RESULTS FROM THE NATIONAL CANCER DATABASE. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
OBJECTIVES
To investigate the impact of biopsy preceding resection compared to upfront resection in glioblastoma overall survival (OS) and post-operative outcomes using the National Cancer Database (NCDB).
METHODS
A total of 17,334 GBM patients diagnosed between 2010 and 2014 were derived from the NCDB. Patients were categorized into two groups: “upfront resection” versus “biopsy followed by resection”. Primary outcome was OS. Post-operative outcomes including 30-day readmission/mortality, 90-day mortality, and prolonged length of inpatient hospital stay (LOS) were secondary endpoints. Kaplan-Meier methods and accelerated failure time (AFT) models with gamma distribution were applied for survival analysis. Multivariable binary logistic regression models were performed to compare differences in the post-operative outcomes between these groups.
RESULTS
Patients undergoing “upfront resection” experienced superior survival compared to those undergoing “biopsy followed by resection” (median OS: 12.4 versus 11.1 months, log-rank test: P=0.001). In multivariable AFT models, significant survival benefits were observed among patients undergoing “upfront resection” (time ratio [TR]: 0.83, 95% CI: 0.75–0.93, P=0.001). Patients undergoing upfront GTR had the longest survival compared to upfront STR, GTR following STR, or GTR and STR following an initial biopsy (14.4 vs. 10.3, 13.5, 13.3, and 9.1, months), respectively (TR: 1.00 [Ref.], 0.75, 0.82, 0.88, and 0.67). Recent years of diagnosis, higher income and treatment at academic facilities were significantly associated with the likelihood of undergoing upfront resection after adjusting the covariates. Multivariable logistic regression revealed that 30-day mortality and 90-day mortality were decreased by 73% and 44% for patients undergoing “upfront resection” over “biopsy followed by resection”, respectively (both p < 0.001).
CONCLUSIONS
Pre-operative biopsies for surgically accessible tumors with characteristic imaging features of Glioblastoma lead to worse survival despite subsequent resection compared to patients undergoing upfront resection.
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Affiliation(s)
- Ping Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Xianglin Du
- The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Angel Blanco
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nitin Tandon
- McGovern Medical School At UTHealth, Houston, TX, USA
| | - Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | | | - Mitchel Berger
- University of California San Francisco, San Francisco, CA, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School at UTHealth, Houston, TX, USA
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Zhu JJ, Lu G, Rao M, Zhu P, Linendoll N, Tian X, Pilichowska M, Wu J, Glass W, Bhattacharjee M, Ballester LY, Chen L, Zhang R, Pillai A, Buja LM, Hunter R. NCMP-09. POSTMORTEM STUDY OF ORGAN SPECIFIC TOXICITY IN GLIOBLASTOMA PATIENTS TREATED WITH A COMBINATION OF TEMOZOLOMIDE, BEVACIZUMAB AND IRINOTECAN. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Combined chemotherapy with temozolomide (TMZ), bevacizumab (BEV) and irinotecan (IRI) [TBI] has been used in patients with recurrent or progressive high-grade gliomas. Patients tolerated the regimen well with increased frequency of reversible clinical myelosuppression (CM), hypertension and proteinuria. However, organ-specific toxicities have never been evaluated by post-mortem examination. From 2009 to 2019, post-mortem examinations were performed in seventy-six decedents, including gliomas (N=68, 44/M and 24/F, median age: 59, ranging 23–80 years old) and brain metastases (N=8, 5/M and 3/F, ranging 39–75 years old). Twenty-four glioma subjects were treated with 1–25 cycles TBI (median 5.5) at glioma recurrence. All subjects’ clinical information, treatment histories and adverse events were collected. Five (7.7%, 5/65) glioma decedents (excluding three glioma patients who never received TMZ) permanently discontinued TMZ due to severe CM during concurrent chemoradiation therapy. There is no significantly elevated severity of CM from TBI when compared to standard of care therapies, nor when comparing extended TMZ treatment to the standard 12 cycles of TMZ. However, exposure to IRI significantly increased the CM occurrence (p< 0.05). Among glioma decedents, the most common cause of death was tumor progression (63.2 %, N=43), followed by aspiration pneumonia (48.5%, N=33). No deaths were attributed to acute toxicity from TBI. An electromicroscopic (EM) examination was performed in addition to routine autopsy procedures to investigate the cause of hypertension and proteinuria frequently developing in patients received BEV therapy. Ultrastructural evidence of thrombotic microangiopathy was observed in the kidneys among BEV users; however, it is difficult to conclude such changes were related to BEV due to rapid autolytic changes and artifacts. CONCLUSION: IRI, not the extended use of TMZ, significantly increased the frequency of reversible CM in recurrent glioma patients. There are no unexpected adverse events or organ-specific toxicities detected among glioma decedents who received the TBI regimen.
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Affiliation(s)
- Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | | | - Mayank Rao
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Ping Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | | | - Xuejun Tian
- Tufts University School of Medicine, Boston, MA, USA
| | | | - Julian Wu
- Tufts University School of Medicine, Boston, MA, USA
| | - William Glass
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Meenakshi Bhattacharjee
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lei Chen
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Rongzhen Zhang
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | | | - L Maximilian Buja
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Robert Hunter
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
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Datta S, Riascos-Castaneda R, Zhu JJ. NIMG-59. EVALUATION OF GLCM FEATURES BASED CLASSIFIERS IN DIFFERENTIATING TUMOR GRADES ON MULTI-MODAL MR IMAGES. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
BACKGROUND
Accurate classification of tumor grade is necessary for understanding tumor development critical in patient management. Radiomic features are gaining popularity in classifying the tumors with the application of various classifiers. We evaluate five classifiers using gray-level co-occurrence matrix (GLCM) features to classify low-grade gliomas (LGG) and high-grade gliomas (HGG).
METHODS
We included high resolution multi-modal MR images from pre-operative BraTS 2019 database. The database contains a total of 335 multi-modal MR images (259 HGG and 76 LGG) with manually-corrected segmentations of tumor compartments. Sixty four three-dimensional (3D) voxel-by-voxel GLCM feature images on T2-wighted (T2), fluid attenuated inversion recovery (FLAIR), and T1-weighted (T1) pre- and post-contrast images are computed. A total of 192 features within regions of enhanced tumor (ET), edema (ED), and non-enhanced tumor (NET) are obtained by taking averages of the GLCM features within each region. For classification, we evaluated k-nearest neighbor (kNN), learning vector quantization (LVQ), random forest classifier (RF), classification and regression trees (CART), and support vector machine (SVM) classifiers for differentiating LGG from HGG. The dataset is randomly split into ratio of 80 to 20 for training and validation. The models are trained using repeated 5-fold cross-validation. Best 10 models for each of the classifiers are selected based on accuracy by applying multiple random split.
RESULTS
The average accuracies of 10 best models selected for each of kNN, LVQ, RF, CART, and SVM classifiers are 0.88, 0.92, 1.00, 0.890, and 0.95 on training set, and 0.89, 0.88, 0.88, 0.89, and 0.90 on validation set. The performance of five classifiers on validation set is similar. The accuracy of SVM classifier is slightly higher on validation set even though the RF appears to be the best classifier on training set.
CONCLUSION
Voxel-by-voxel GLCM features help differentiate LGG and HGG with 0.89 of accuracy irrespective of the classifier.
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Affiliation(s)
- Sushmita Datta
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Roy Riascos-Castaneda
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
| | - Jay-Jiguang Zhu
- McGovern Medical School, The University of Texas Health Science Ctr at Houston, Houston, TX, USA
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Yan Y, Takayasu T, Hines G, Dono A, Hsu SH, Zhu JJ, Riascos-Castaneda RF, Kamali A, Bhattacharjee MB, Blanco AI, Tandon N, Kim DH, Ballester LY, Esquenazi AY. Landscape of Genomic Alterations in IDH Wild-Type Glioblastoma Identifies PI3K as a Favorable Prognostic Factor. JCO Precis Oncol 2020; 4:575-584. [DOI: 10.1200/po.19.00385] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
PURPOSE IDH wild-type (WT) glioblastoma (GBM) is an aggressive tumor with poor survival despite current therapies. The aim of this study was to characterize its genomic profile and determine whether a particular molecular signature is associated with improved survival outcomes. PATIENTS AND METHODS Tumor samples from 232 patients with IDH-WT GBM were sequenced, and the landscape of genomic alterations was fully delineated. Genomics data from The Cancer Genome Atlas (TCGA) cohort were analyzed for confirmation. Association of alterations with survival was evaluated in both univariable and multivariable approaches. RESULTS The genomic landscape of IDH-WT GBM revealed a high frequency of CDKN2A/B loss, TERT promoter mutations, PTEN loss, EGFR alteration, and TP53 mutations. Novel variants or gene mutations, such as ARID1B and MLL2, were identified. To better understand synergistic effects and facilitate decision making for precision medicine, we identified 11 pairs of gene alterations that tended to co-occur or were mutually exclusive, which were confirmed in the TCGA cohort. Survival analysis showed that genomic alterations in TP53 were associated with worse overall survival (OS). However, alterations in PI3K class I genes were associated with significantly better OS (univariable analysis: P = .002; multivariable analysis: hazard ratio [HR], 0.5785; P = .00162) and longer progression-free survival (univariable analysis: P = .0043; multivariable analysis: HR, 0.6228; P = .00913). CONCLUSION Genomic alterations in PI3K class I are a favorable prognostic factor in IDH-WT GBM. This new prognostic biomarker may facilitate risk stratification of patients, assist in clinical trial enrollment, and provide potential therapeutic targets
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Affiliation(s)
- Yuanqing Yan
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
| | - Takeshi Takayasu
- Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Gabriella Hines
- Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Antonio Dono
- Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Sigmund H. Hsu
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
| | - Roy F. Riascos-Castaneda
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX
| | - Arash Kamali
- Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX
| | - Meenakshi B. Bhattacharjee
- Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Angel I. Blanco
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
| | - Dong H. Kim
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
| | - Leomar Y. Ballester
- Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
| | - and Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX
- Memorial Hermann Hospital, Mischer Neuroscience Institute, Houston, TX
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX
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Tao JC, Huang B, Wang TT, Xie KY, He QL, Ni HD, Zhu JJ, Lu YP, Zhang L, Yao M. [Observation on the efficacy of CT-guided lumbar sympathetic chemical destructive block in the treatment of cold sensation of limbs]. Zhonghua Yi Xue Za Zhi 2020; 100:2586-2590. [PMID: 32892603 DOI: 10.3760/cma.j.cn112137-20200513-01525] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To observe the clinical effects of CT-guided chemical destructive block of lumbar sympathetic nerve in the treatment of cold sensation of limbs. Methods: In this retrospective analysis, clinical data of 43 patients with cold sensation of limbs treated by lumbar sympathetic chemical destructive block in the Affiliated Hospital of Jiaxing University from January 2015 to January 2018 were collected. The changes of heart rate, non-invasive blood pressure (NIBP), oxygen saturation (SpO(2)), plantar temperature and peripheral perfusion index (PI) of patients were recorded and analyzed before treatment and 5 min after injection of anhydrous ethanol. The patients were followed up at postoperative 1 day, 1 week, 1 month, 3 months, 6 months, 1 year and 2 years. Results: Fourty-three patients underwent bilateral lumbar sympathetic nerve chemical destructive block under the CT-guided, and all patients were punctured to the target successfully. The PI of patients before and after treatment were 1.2±0.6, 7.2±3.0 respectively, which was significantly increased after treatment compared with before treatment, and the difference was statistically significant (t=12.386, P<0.05). The plantar temperature of patients before and after treatment respectively were (29.6±1.7)℃, (34.6±1.1)℃, which was significantly increased after treatment compared with before treatment, and the difference was statistically significant (t=15.057, P<0.05). There were no significant differences in heart rate, NIBP and SpO(2) between before and after treatment (all P>0.05). Lumbar sympathetic chemical destructive block was clinically effective in 39 patients (90.7%) and ineffective in 4 patients (9.3%). Among the 39 clinically effective patients, the curative effects were excellent in 29 cases and improved in 10 cases. Postoperative recurrence occurred in 10 cases (25.6%). The satisfaction rates of patients at 1 day, 1 week, 1 month, 3 months, 6 months, 1 year and 2 years after operation were 93.0%, 90.7%, 86.0%, 76.7%, 69.7%, 65.1% and 53.4%, respectively. Conclusion: Lumbar sympathetic chemical destructive block is a safe and effective way for the treatment of cold sensation of limbs, which can improve the symptoms of cold sensation of limbs to some extent.
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Affiliation(s)
- J C Tao
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310000, China
| | - B Huang
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - T T Wang
- Department of Anesthesiology and Pain Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - K Y Xie
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - Q L He
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - H D Ni
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - J J Zhu
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - Y P Lu
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - L Zhang
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
| | - M Yao
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314000, China
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Ni HD, Huang B, Yao M, Zhu JJ, Tao JC. [Attention should be paid to the neuromodulation therapy of autonomic nervous dysfunction]. Zhonghua Yi Xue Za Zhi 2020; 100:2561-2564. [PMID: 32892602 DOI: 10.3760/cma.j.cn112137-20200722-02187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- H D Ni
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
| | - B Huang
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
| | - M Yao
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
| | - J J Zhu
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
| | - J C Tao
- Department of Anesthesiology and Pain Medicine, the Affiliated Hospital of Jiaxing University, Jiaxing 314001, China
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Dono A, Vu J, Anapolsky M, Hines G, Takayasu T, Yan Y, Tandon N, Zhu JJ, Bhattacharjee MB, Esquenazi Y, Ballester LY. Additional genetic alterations in BRAF-mutant gliomas correlate with histologic diagnoses. J Neurooncol 2020; 149:463-472. [PMID: 33009979 PMCID: PMC7642042 DOI: 10.1007/s11060-020-03634-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 09/23/2020] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Recently, the term "Diffuse glioma, BRAF V600E-mutant" has been recommended for IDH-wildtype gliomas with BRAF p.V600E mutation and without CDKN2A/B deletion. However, additional alterations in gliomas that coexist with BRAF-mutations are poorly defined. METHODS We analyzed next-generation sequencing results in 315 cancer-associated genes for 372 gliomas from our institution (2010 to 2017). In addition, we reviewed IDH-WT gliomas with mutation and copy-number alterations available in cBioPortal, to further characterize BRAF-mutant gliomas. RESULTS Seventeen (4.6%) showed BRAF mutations. Tumor types included 8 glioblastomas, 2 epithelioid glioblastomas (E-GBM), 2 pleomorphic xanthoastrocytomas (PXA), 1 anaplastic oligodendroglioma, 1 diffuse astrocytoma, and 3 pilocytic astrocytomas. Fifty-three percent (53%) of cases exhibited BRAF-alterations other than p.V600E. The majority of the tumors were localized in the temporal lobe (52.9%). In addition to BRAF mutations, glioblastomas showed concomitant mutations in TP53 (3/8), CDKN2A/B-loss (6/8), TERT-promoter (6/8), and/or PTEN (5/8). Both E-GBMs and PXAs showed CDKN2A/B-loss and BRAF p.V600E with absence of TERTp, TP53, and PTEN mutations. Similar findings were observed in BRAF-mutant infiltrating gliomas from cBioPortal. CONCLUSIONS Knowledge of additional alterations that co-occur with BRAF-mutations in gliomas may improve diagnosis and help identify patients that could benefit from targeted therapies. Furthermore, we provide examples of two patients whose tumors responded to BRAF pathway inhibitors, arguing in favor of these therapies in patients with BRAF-mutant gliomas.
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Affiliation(s)
- Antonio Dono
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jennifer Vu
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Molly Anapolsky
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Gabriella Hines
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Takeshi Takayasu
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yuanqing Yan
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nitin Tandon
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Meenakshi B Bhattacharjee
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, USA.
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Department of Pathology and Laboratory Medicine, Department of Neurosurgery, McGovern Medical School, UT Neuroscience, University of Texas Health Science Center at Houston, 6431 Fannin St., MSB 2.136, Houston, TX, 77030, USA.
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Vivian L. Smith Department of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
- Memorial Hermann Hospital-TMC, Houston, TX, USA.
- Vivian L. Smith Department of Neurosurgery and Center for Precision Health, UT-Neuroscience, McGovern Medical School, The University of Texas Health Science Center at Houston, 6400 Fannin Street, Suite # 2800, Houston, TX, 77030, USA.
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Takayasu T, Shah M, Dono A, Yan Y, Borkar R, Putluri N, Zhu JJ, Hama S, Yamasaki F, Tahara H, Sugiyama K, Kurisu K, Esquenazi Y, Ballester LY. Cerebrospinal fluid ctDNA and metabolites are informative biomarkers for the evaluation of CNS germ cell tumors. Sci Rep 2020; 10:14326. [PMID: 32868820 PMCID: PMC7459305 DOI: 10.1038/s41598-020-71161-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [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: 04/24/2020] [Accepted: 08/04/2020] [Indexed: 12/11/2022] Open
Abstract
Serum and cerebrospinal fluid (CSF) levels of α-fetoprotein and β-subunit of human chorionic gonadotropin are used as biomarkers for the management of central nervous system (CNS) germ cell tumors (GCTs). However, additional discriminating biomarkers are required. Especially, biomarkers to differentiate non-germinomatous germ cell tumors (NGGCTs) from germinomas are critical, as these have a distinct prognosis. We investigated CSF samples from 12 patients with CNS-GCT patients (8 germinomas and 4 NGGCTs). We analyzed circulating tumor DNA (ctDNA) in CSF to detect mutated genes. We also used liquid chromatography-mass spectrometry to characterize metabolites in CSF. We detected KIT and/or NRAS mutation, known as frequently mutated genes in GCTs, in 3/12 (25%) patients. We also found significant differences in the abundance of 15 metabolites between control and GCT, with unsupervised hierarchical clustering analysis. Metabolites related to the TCA cycle were increased in GCTs. Urea, ornithine, and short-chain acylcarnitines were decreased in GCTs. Moreover, we also detected several metabolites (e.g., betaine, guanidine acetic acid, and 2-aminoheptanoic acid) that displayed significant differences in abundance in patients with germinomas and NGGCTs. Our results suggest that ctDNA and metabolites in CSF can serve as novel biomarkers for CNS-GCTs and can be useful to differentiate germinomas from NGGCTs.
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Affiliation(s)
- Takeshi Takayasu
- Department of Pathology and Laboratory Medicine, Molecular Genetic Pathology and Neuropathology, The University of Texas Health Science Center, 6431 Fannin St., MSB 2.136, Houston, TX, 77030, USA.,Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ward, Hiroshima City, Hiroshima, 734-8551, Japan
| | - Mauli Shah
- Department of Pathology and Laboratory Medicine, Molecular Genetic Pathology and Neuropathology, The University of Texas Health Science Center, 6431 Fannin St., MSB 2.136, Houston, TX, 77030, USA
| | - Antonio Dono
- Vivian L. Smith Department of Neurosurgery, UTHealth McGovern Medical School, the University of Texas Health Science Center, Houston, TX, USA
| | - Yuanqing Yan
- Vivian L. Smith Department of Neurosurgery, UTHealth McGovern Medical School, the University of Texas Health Science Center, Houston, TX, USA
| | - Roshan Borkar
- Metabolomics Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA
| | - Nagireddy Putluri
- Metabolomics Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA
| | - Jay-Jiguang Zhu
- Vivian L. Smith Department of Neurosurgery, UTHealth McGovern Medical School, the University of Texas Health Science Center, Houston, TX, USA.,Memorial Hermann Hospital-TMC, Houston, TX, USA
| | - Seiji Hama
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ward, Hiroshima City, Hiroshima, 734-8551, Japan
| | - Fumiyuki Yamasaki
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ward, Hiroshima City, Hiroshima, 734-8551, Japan.
| | - Hidetoshi Tahara
- Department of Cellular and Molecular Biology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Kazuhiko Sugiyama
- Department of Clinical Oncology and Neuro-Oncology Program, Hiroshima University Hospital, Hiroshima City, Hiroshima, Japan
| | - Kaoru Kurisu
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ward, Hiroshima City, Hiroshima, 734-8551, Japan
| | - Yoshua Esquenazi
- Vivian L. Smith Department of Neurosurgery, UTHealth McGovern Medical School, the University of Texas Health Science Center, Houston, TX, USA.,Memorial Hermann Hospital-TMC, Houston, TX, USA.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center, Houston, USA
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, Molecular Genetic Pathology and Neuropathology, The University of Texas Health Science Center, 6431 Fannin St., MSB 2.136, Houston, TX, 77030, USA. .,Vivian L. Smith Department of Neurosurgery, UTHealth McGovern Medical School, the University of Texas Health Science Center, Houston, TX, USA. .,Memorial Hermann Hospital-TMC, Houston, TX, USA.
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Zhu JJ, O'Donnell RT, Ram Z. Abstract CT211: EF-19 - A post-approval registry study of TTFields for the treatment of recurrent glioblastoma (GBM). Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-ct211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Tumor Treating Fields (TTFields) are an anti-mitotic, regional treatment modality, utilizing low intensity alternating electric fields delivered non-invasively to the tumor using a portable medical device. In phase 3 studies leading to FDA approvals, TTFields significantly extended survival in newly diagnosed GBM when added to maintenance temozolomide, and achieved comparable survival outcome to best standard of care (BSC) when used as monotherapy in recurrent GBM. The aim of the EF-19 study was to confirm the efficacy of TTFields versus BSC for recurrent GBM in the post-approval real-life setting.
Method: This non-inferiority, prospective, non-randomized, post approval registry trial enrolled 192 recurrent GBM patients (>21 years, KPS > 70). All patients were treated with TTFields (200 kHz, >18h/day). Eligibility criteria included histological diagnosis of GBM, past treatment with the Stupp protocol for the primary disease and radiological evidence of progression in the supratentorial region. The primary endpoint was overall survival (OS); secondary endpoints included OS in the per protocol (PP) population (>1 course of TTFields or BSC in each respective arm), time to treatment failure and incidence of adverse events. The TTFields patient registry data were compared to OS of all 117 recurrent GBM patients in the BSC group of the EF-11 pivotal trial (Stupp R., et al., EJC 2012). The sample size of 192 patients (10% loss to follow up) was determined based on non-inferiority log-rank test with a two-sided alpha level of 0.05 and a power of 80%, comparing time to event (i.e., death) between patients treated with TTFields and BSC. The analysis was based on true hazard ratio (HR) of 1.0 comparing TTFields to control with an upper one-sided 95% confidence bound of HR is not exceeding 1.375. Result: Median OS in patients treated with TTFields versus EF-11 BSC was 7.4 vs. 6.4 months, p=0.053; HR = 0.64 (95%CI 0.46-0.91, Cox-test P=0.012). In the PP population, the median OS with TTFields versus EF-11 BSC was 8.1 months vs. 6.5 months, respectively; p=0.045; HR 0.65. The results show a significant superiority HR of overall survival between the ITT groups, as superiority 95% confident interval upper limit of the HR was lower than the pre-defined threshold for non-inferiority for interval bound of 1.375. The overall incidence of adverse event was lower in the TTFields arm (67% vs. 95%) vs. EF-11 BSC arm. The median time to treatment failure was longer in the TTFields arm (3.3 months (95% CI 2.6, 3.9)) compared to the BSC arm (1.6 months; 95% CI 1.1, 1.9); HR=0.53 (95% CI 0.41, 0.68, p<0.0001). Skin AE was the most frequently reported AEs in TTFields-treated patients; No unexpected adverse events were reported with TTFields. Conclusion: The EF-19 confirmed the effectiveness and safety of TTFields as monotherapy in recurrent GBM.
Citation Format: Jay-Jiguang Zhu, Robert T. O'Donnell, Zvi Ram. EF-19 - A post-approval registry study of TTFields for the treatment of recurrent glioblastoma (GBM) [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT211.
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Affiliation(s)
| | | | - Zvi Ram
- 3Tel Aviv Medical Center, Tel Aviv, Israel
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Shi W, Blumenthal DT, Bush NAO, Kebir S, Lukas RV, Muragaki Y, Zhu JJ, Glas M. Abstract LB-167: Post-marketing safety surveillance of Tumor Treating Fields (TTFields) in patients with high-grade glioma in clinical practice. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-lb-167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Tumor Treating Fields (TTFields) are an antineoplastic treatment delivering low-intensity, intermediate-frequency, alternating electric fields through 2 pairs of transducer arrays locoregionally applied to tumor bed. TTFields are FDA-approved for glioblastoma (GBM; 200 kHz) and mesothelioma (150 kHz). Safety and effectiveness were demonstrated in the Phase 3 EF-11 and EF-14 trials in recurrent GBM (rGBM) and in newly diagnosed GBM (ndGBM), respectively. The main TTFields-related adverse event (AE) was array-associated manageable scalp irritation. We report AEs from TTFields-treated patients in the real-world, clinical practice setting. Methods: Unsolicited, global, post-market surveillance data from TTFields-treated patients (October 2011-February 2019) were retrospectively analyzed using MedDRA v21.1, stratified by region (US, EMEA [Europe, Middle East, Africa], or Japan), diagnosis (ndGBM, rGBM, anaplastic astrocytoma, anaplastic oligodendroglioma, or other brain tumors [includes brain metastases from different cancer types]), and age (years; <18 [pediatric], 18 to 64 [adults], or ≥65 [elderly]). Results: Of 11,029 patients, 53% had ndGBM, 39% had rGBM (at any line of recurrence), 6% had anaplastic astrocytoma/oligodendroglioma, and 1% had other brain tumors. Most were adults (73%) and 26% were elderly (≥65 years of age). The majority of patients was males (n=7313; 66.3%) compared to females (n=3716; 33.7%). The most commonly reported TTFields-related AE was array-associated local skin reaction, with an incidence of 38% in ndGBM, 29% in rGBM, 38% in anaplastic astrocytoma/oligodendroglioma, 31% in other brain tumors, 37% in pediatric, 34% in adults, and 36% in elderly patients. Most skin AEs were grade 1 and 2 and they were reversible with treatment. Other TTFields-related AEs in patients with ndGBM and rGBM, respectively, included heat sensation (under-array warmth; 11%, 10%), electric sensation (under-array tingling; 11%, 9%), and headache (7%, 6%). Conclusions: This retrospective, global, TTFields safety surveillance analysis revealed no new safety signals, with favorable safety and tolerability comparable to published TTFields/GBM trials. The most common TTFields-related AE was array-associated local skin reaction. The safety profile remained consistent among subgroups (diagnosis, age, or region) and total cohort, indicating feasibility in multiple subpopulations, including elderly patients.
Citation Format: Wenyin Shi, Deborah T. Blumenthal, Nancy Ann Oberheim Bush, Sied Kebir, Rimas V. Lukas, Yoshihiro Muragaki, Jay-Jiguang Zhu, Martin Glas. Post-marketing safety surveillance of Tumor Treating Fields (TTFields) in patients with high-grade glioma in clinical practice [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr LB-167.
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Affiliation(s)
- Wenyin Shi
- 1Radiation Oncology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA
| | - Deborah T. Blumenthal
- 2Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Sied Kebir
- 4Division of Clinical Neurooncology, Department of Neurology, University of Bonn Medical Center, Bonn, Germany
| | - Rimas V. Lukas
- 5Department of Neurology, Northwestern University, Chicago, IL
| | - Yoshihiro Muragaki
- 6Faculty of Advanced Techno-Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, Shinjuku-ku, Tokyo, Japan
| | - Jay-Jiguang Zhu
- 7McGovern Medical School and Memorial Hermann Hospital at Texas Medical Center, University of Texas Health Science Center at Houston, Houston, TX
| | - Martin Glas
- 8Division of Clinical Neurooncology, Department of Neurology and West German Cancer Center, German Cancer Consortium, Partner Site Essen, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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Ram Z, Zhu JJ. Abstract CT219: Efficacy of TTFields in elderly patients with newly diagnosed glioblastoma (GBM): Sub-group analysis of the EF-14 trial. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-ct219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Tumor Treating Fields (TTFields) are an anti-mitotic, regional treatment modality, utilizing low intensity alternating electric fields delivered non-invasively to the tumor using a portable medical device. In the EF-14 phase 3 study leading to FDA approval, TTFields significantly extended survival in newly diagnosed GBM when added to maintenance temozolomide (TMZ). Elderly GBM patients usually have worse prognosis and often receive only partial treatment for the disease. The aim of the following post-hoc analysis was to examine the effects of TTFields in the elderly population (≥65 years of age) enrolled in the EF-14 study. Method: All 134 elderly patients (≥65 years of age) from the EF-14's intent-to-treat population were included in the analysis, Overall survival (OS) and progression-free survival (PFS), as well as adverse event frequency and severity were compared between the TMZ + TTFields arm and the TMZ alone arm. Result: The median age was 69 (range: 65-83), 69% were male. Median PFS from randomization was 6.5 months versus 3.9 months in the TTFields + TMZ Vs. TMZ alone arms, respectively (hazard ratio [HR], 0.47 [95%CI 0.30, 0.74] P<0.0236). Median OS was 17.4 months versus 13.7 months in the TTFields + TMZ versus TMZ alone arm, respectively (HR 0.51 [CI 0.33, 0.77] P<0.020). Serious adverse events (SAEs) were reported in 39% of patients treated with TTFields + TMZ and in 33% of patients treated with TMZ alone. None of the SAEs were considered related to TTFields. SAEs were considered related to TMZ or to the underlying disease. Grades 1-2 skin AEs were observed in 51% of patients. Conclusion: Consistent with the overall outcome of the EF-14 study, elderly patients treated with TMZ + TTFields showed significantly better OS compared to patients on TMZ alone, and without increase in grade 3-4 toxicity.
Citation Format: Zvi Ram, Jay-Jiguang Zhu. Efficacy of TTFields in elderly patients with newly diagnosed glioblastoma (GBM): Sub-group analysis of the EF-14 trial [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT219.
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Affiliation(s)
- Zvi Ram
- 1Tel Aviv Medical Center, Tel Aviv, Israel
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