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Nguyen T, Carrieri FA, Connis N, Lafargue A, Chang J, Chan A, Shetty AC, Song Y, Hoang T, Jagtap S, Chowdhury DD, Khan MA, Gabrielson KL, Rezaee M, Torres-Ayuso P, Brognard J, Hann CL, Tran PT. TNIK inhibition sensitizes TNIK-overexpressing lung squamous cell carcinoma to radiotherapy. Mol Cancer Ther 2024:745063. [PMID: 38670554 DOI: 10.1158/1535-7163.mct-23-0412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 12/15/2023] [Accepted: 04/18/2024] [Indexed: 04/28/2024]
Abstract
Most patients with lung squamous cell carcinoma (LSCC) undergo chemotherapy, radiotherapy, and adjuvant immunotherapy for locally advanced disease. The efficacy of these treatments is still limited due to dose-limiting toxicity or locoregional recurrence. New combination approaches and targets such as actionable oncogenic drivers are needed to advance treatment options for LSCC patients. Moreover, other options for chemotherapy-ineligible patients are also limited. As such there is a critical need for the development of selective and potent chemoradiosensitizers for locally advanced LSCC. Here, we investigated inhibiting TRAF2 and NCK-interacting protein kinase (TNIK), which is amplified in 40% of LSCC patients, as a strategy to sensitize LSCC tumors to chemo- and radiotherapy. Employing a range of human LSCC cell lines and the TNIK inhibitor NCB-0846, we investigated the potential of TNIK as a chemo- and radiosensitizing target with in vitro and in vivo preclinical models. The combination of NCB-0846 with cisplatin or etoposide was at best additive. Interestingly, pre-treating LSCC cells with NCB-0846 prior to ionizing radiation (IR) potentiated the cytotoxicity of IR in a TNIK-specific fashion. Characterization of the radiosensitization mechanism suggested that TNIK inhibition may impair the DNA damage response and promote mitotic catastrophe in irradiated cells. In a subcutaneous xenograft in vivo model, pretreatment with NCB-0846 significantly enhanced the efficacy of IR and caused elevated necrosis in TNIKhigh LK2 tumors but not TNIKlow KNS62 tumors. Overall, these results indicate that TNIK inhibition may be a promising strategy to increase the efficacy of radiotherapy in LSCC patients with high TNIK expression.
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Affiliation(s)
- Triet Nguyen
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | | | - Nick Connis
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Audrey Lafargue
- University of Maryland, Baltimore, Baltimore, MD, United States
| | - Jinhee Chang
- University of Maryland, Baltimore, Baltimore, MD, United States
| | - Aaron Chan
- University of Maryland, Baltimore, Baltimore, MD, United States
| | | | - Yang Song
- University of Maryland Baltimore School of Medicine, United States
| | - Tung Hoang
- Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Shreya Jagtap
- University of Maryland, Baltimore, Baltimore, MD, United States
| | | | | | | | - Mohammad Rezaee
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - John Brognard
- National Cancer Institute, Frederick, MD, United States
| | - Christine L Hann
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Phuoc T Tran
- University of Maryland, College Park, Baltimore, MD, United States
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2
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Sutera P, Shetty AC, Song Y, Hodges T, Hoang T, Rana Z, Pienta K, Feng F, Song DY, DeWeese T, Gillessen S, Sweeney C, James N, Attard G, Deek M, Tran PT. Identification of a Predictive Genomic Biomarker for Prostate-directed Therapy in Synchronous Low-volume Metastatic Castration-sensitive Prostate Cancer. Eur Urol Oncol 2024; 7:241-247. [PMID: 37558543 PMCID: PMC10850431 DOI: 10.1016/j.euo.2023.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/11/2023] [Accepted: 07/26/2023] [Indexed: 08/11/2023]
Abstract
BACKGROUND Standard of care management for synchronous metastatic castration-sensitive prostate cancer (mCSPC) includes androgen deprivation therapy with a second-generation antiandrogen therapy and/or docetaxel. Recently, randomized data have demonstrated that prostate-directed therapy (PDT) is associated with an improvement in overall survival (OS) among patients with low-volume metastatic disease. Tumor genomics represents an additional dimension to define the clinical trajectory of patients with mCSPC. OBJECTIVE To evaluate a high-risk (HiRi) genomic signature to predict the benefit from PDT. DESIGN, SETTING, AND PARTICIPANTS We performed a single-institution retrospective review of men with synchronous low-volume mCSPC who underwent DNA panel sequencing of their tumor. Patients were classified according to the presence of HiRi mutation including pathogenic mutations in TP53, ATM, BRCA1, BRCA2, or Rb1. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The primary endpoint was to determine the effect of PDT on OS in patients with and without a HiRi mutation. A survival analysis was performed with the Kaplan-Meier method compared with log-rank test and multivariable Cox regression. The interaction between HiRi mutation and PDT was evaluated. RESULTS AND LIMITATIONS A total of 101 patients with synchronous low-volume CSPC were included with a median follow-up of 44 mo. Approximately half of patients were found to have a HiRi pathogenic mutation (49%). Patients with HiRi mutations demonstrated median OS of 73 versus 66.8 mo (p = 0.3) for no PDT versus PDT. Conversely, patients without a HiRi mutation demonstrated a significant improvement in OS of 60 versus 105.3 mo (p < 0.001) for no PDT versus PDT. The p value for interaction for OS between PDT and HiRi mutation was statistically significant (p < 0.001). Limitations include the retrospective nature of the study. CONCLUSIONS Here, we have identified a HiRi genomic biomarker that appears predictive for the lack of benefit from PDT in men with synchronous low-volume mCSPC. Further work validating these results is warranted. PATIENT SUMMARY In this report, we evaluated a high-risk genomic biomarker to predict the benefit from prostate-directed therapy for men with synchronous low-volume metastatic castration-sensitive prostate cancer. We found that men without a high-risk mutation appear to experience a greater clinical benefit from prostate-directed therapy than those with a high-risk mutation.
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Affiliation(s)
- Philip Sutera
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amol C Shetty
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yang Song
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Theresa Hodges
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Tung Hoang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biochemistry and Molecular Biology, Johns Hopkins University, School of Public Health, Baltimore, MD, USA
| | - Zaker Rana
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kenneth Pienta
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; James Buchanan Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Felix Feng
- Departments of Medicine, Urology and Radiation Oncology, UCSF, San Francisco, CA, USA
| | - Daniel Y Song
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; James Buchanan Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Theodore DeWeese
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; James Buchanan Brady Urological Institute, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Silke Gillessen
- Istituto Oncologico della Svizzera Italiana, Bellinzona, Switzerland
| | - Christopher Sweeney
- South Australian Immunogenomics Cancer Institute, University of Adelaide, Adelaide, Australia
| | - Nicholas James
- The Royal Marsden Hospital NHS Foundation Trust and The Institute of Cancer Research, London, UK
| | - Gerhardt Attard
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Matthew Deek
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Phuoc T Tran
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
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3
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Hoang T, Cho S, Choi JY, Kang D, Shin A. Genome-Wide Interaction Study of Dietary Intake and Colorectal Cancer Risk in the UK Biobank. JAMA Netw Open 2024; 7:e240465. [PMID: 38411962 PMCID: PMC10900970 DOI: 10.1001/jamanetworkopen.2024.0465] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2024] Open
Abstract
Importance Candidate gene analysis approaches have shown that colorectal cancer (CRC) risk attributable to diet may differ according to genotype. A genome-wide approach further allows for the exploration of underlying pathways for associations between diet and CRC risk across the genome. Objectives To identify genetic variants that modify diet-CRC associations and to further explore the underlying pathways in the cause of CRC. Design, Setting, and Participants This nested case-control study used data on White British participants from the prospective cohort UK Biobank. Participants were recruited between March 13, 2006, and October 1, 2010, and data were censored June 25, 2021. Exposures The average frequency intake of 11 dietary factors in the year preceding baseline was obtained via a touchscreen questionnaire. After quality control for more than 93 million variants of imputed genetic data, 4 122 345 variants remained. Main Outcomes and Measures Colorectal cancer cases were identified according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Genome-wide interaction analysis was performed to test interactions between dietary factors and variants using a conditional logistic regression model. Summary statistics of interactions at the variant level were used to calculate empirical P values for interactions at gene and gene-set levels in gene-based and gene-set enrichment analyses. Results A total of 4686 participants with CRC (mean [SD] age, 60.7 [6.6] years; 2707 men [57.8%]) received a new diagnosis during a median of 12.4 years (IQR, 11.6-13.1 years) of follow-up. Once a case was detected, 3 matched controls were identified, for a total of 14 058 controls (mean [SD] age, 60.4 [6.6] years; 8121 men [57.8%]). A total of 324 variants were identified that interacted with diet consumption at the suggestive threshold (P < 1 × 10-5). In gene-based analysis, aggregation of multiple EPDR1 gene variants was found to interact with fish intake regarding CRC risk. Furthermore, gene-set enrichment analysis found that several sets of protein-coding genes, which were overrepresented with particular functions and pathways, interacted with the consumption of milk (ART), cheese (OR), tea (KRT), and alcohol (PRM and TNP). Conclusions and Relevance In this nested case-control study, the risk of CRC associated with fish intake was modified by multiple single-nucleotide polymorphisms of the EPDR1 gene. The findings further suggested possible functions and pathways that might link the consumption of milk, cheese, tea, and alcohol with CRC development.
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Affiliation(s)
- Tung Hoang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
| | - Sooyoung Cho
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Korea
- Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
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4
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Hoang T, Sutera P, Nguyen T, Chang J, Jagtap S, Song Y, Shetty AC, Chowdhury DD, Chan A, Carrieri FA, Hathout L, Ennis R, Jabbour SK, Parikh R, Molitoris J, Song DY, DeWeese T, Marchionni L, Ren L, Sawant A, Simone N, Lafargue A, Van Der Eecken K, Bunz F, Ost P, Tran PT, Deek MP. TP53 structure-function relationships in metastatic castrate-sensitive prostate cancer and the impact of APR-246 treatment. Prostate 2024; 84:87-99. [PMID: 37812042 DOI: 10.1002/pros.24629] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/13/2023] [Accepted: 09/18/2023] [Indexed: 10/10/2023]
Abstract
PURPOSE Despite well-informed work in several malignancies, the phenotypic effects of TP53 mutations in metastatic castration-sensitive prostate cancer (mCSPC) progression and metastasis are not clear. We characterized the structure-function and clinical impact of TP53 mutations in mCSPC. PATIENTS AND METHODS We performed an international retrospective review of men with mCSPC who underwent next-generation sequencing and were stratified according to TP53 mutational status and metastatic burden. Clinical outcomes included radiographic progression-free survival (rPFS) and overall survival (OS) evaluated with Kaplan-Meier and multivariable Cox regression. We also utilized isogenic cancer cell lines to assess the effect of TP53 mutations and APR-246 treatment on migration, invasion, colony formation in vitro, and tumor growth in vivo. Preclinical experimental observations were compared using t-tests and ANOVA. RESULTS Dominant-negative (DN) TP53 mutations were enriched in patients with synchronous (vs. metachronous) (20.7% vs. 6.3%, p < 0.01) and polymetastatic (vs. oligometastatic) (14.4% vs. 7.9%, p < 0.01) disease. On multivariable analysis, DN mutations were associated with worse rPFS (hazards ratio [HR] = 1.97, 95% confidence interval [CI]: 1.31-2.98) and overall survival [OS] (HR = 2.05, 95% CI: 1.14-3.68) compared to TP53 wild type (WT). In vitro, 22Rv1 TP53 R175H cells possessed stronger migration, invasion, colony formation ability, and cellular movement pathway enrichment in RNA sequencing analysis compared to 22Rv1 TP53 WT cells. Treatment with APR-246 reversed the effects of TP53 mutations in vitro and inhibited 22Rv1 TP53 R175H tumor growth in vivo in a dosage-dependent manner. CONCLUSIONS DN TP53 mutations correlated with worse prognosis in prostate cancer patients and higher metastatic potential, which could be counteracted by APR-246 treatment suggesting a potential future therapeutic avenue.
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Affiliation(s)
- Tung Hoang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Biochemistry and Molecular Biology, Johns Hopkins University School of Public Health, Baltimore, Maryland, USA
| | - Philip Sutera
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Triet Nguyen
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Biochemistry and Molecular Biology, Johns Hopkins University School of Public Health, Baltimore, Maryland, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Jinhee Chang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Shreya Jagtap
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Yang Song
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Amol C Shetty
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Dipanwita D Chowdhury
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Aaron Chan
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Francesca A Carrieri
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Lara Hathout
- Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | - Ronald Ennis
- Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | - Salma K Jabbour
- Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | - Rahul Parikh
- Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | - Jason Molitoris
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Daniel Y Song
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, James Buchanan Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Theodore DeWeese
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, James Buchanan Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Lei Ren
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Amit Sawant
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Nicole Simone
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Audrey Lafargue
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
| | - Kim Van Der Eecken
- Department of Pathology, Ghent University Hospital, Cancer Research Institute (CRIG), Ghent, Belgium
| | - Fred Bunz
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, James Buchanan Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Piet Ost
- Department of Radiation Oncology, Iridium Network, Antwerp, Belgium
- Department of Human Structure and Repair, Ghent University, Ghent, Belgium
| | - Phuoc T Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, James Buchanan Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matthew P Deek
- Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
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Hoang T, Cho S, Choi JY, Kang D, Shin A. Assessments of dietary intake and polygenic risk score in associations with colorectal cancer risk: evidence from the UK Biobank. BMC Cancer 2023; 23:993. [PMID: 37853340 PMCID: PMC10583398 DOI: 10.1186/s12885-023-11482-1] [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: 08/03/2023] [Accepted: 10/05/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND This study aimed to explore the potential interaction between dietary intake and genetics on incident colorectal cancer (CRC) and whether adherence to healthy dietary habits could attenuate CRC risk in individuals at high genetic risk. METHODS We analyzed prospective cohort data of 374,004 participants who were free of any cancers at enrollment in UK Biobank. Dietary scores were created based on three dietary recommendations of the World Cancer Research Fund (WCRF) and the overall effects of 11 foods on CRC risks using the inverse-variance (IV) method. Genetic risk was assessed using a polygenic risk score (PRS) capturing overall CRC risk. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% CIs (confidence intervals) of associations. Interactions between dietary factors and the PRS were examined using a likelihood ratio test to compare models with and without the interaction term. RESULTS During a median follow-up of 12.4 years, 4,686 CRC cases were newly diagnosed. Both low adherence to the WCRF recommendations (HR = 1.12, 95% CI = 1.05-1.19) and high IV-weighted dietary scores (HR = 1.27, 95% CI = 1.18-1.37) were associated with CRC risks. The PRS of 98 genetic variants was associated with an increased CRC risk (HRT3vsT1 = 2.12, 95% CI = 1.97-2.29). Participants with both unfavorable dietary habits and a high PRS had a more than twofold increased risk of developing CRC; however, the interaction was not significant. Adherence to an overall healthy diet might attenuate CRC risks in those with high genetic risks (HR = 1.21, 95% CI = 1.08-1.35 for high vs. low IV-weighted dietary scores), while adherence to WCRF dietary recommendations showed marginal effects only (HR = 1.09, 95% CI = 1.00-1.19 for low vs. high WCRF dietary scores). CONCLUSION Dietary habits and the PRS were independently associated with CRC risks. Adherence to healthy dietary habits may exert beneficial effects on CRC risk reduction in individuals at high genetic risk.
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Affiliation(s)
- Tung Hoang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
| | - Sooyoung Cho
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- BK21plus Biomedical Science Project, Seoul National University College of Medicine, Seoul, Korea
- Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Institute of Environmental Medicine, Medical Research Center, Seoul National University, Seoul, Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea.
- Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea.
- Cancer Research Institute, Seoul National University, Seoul, Korea.
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Hoang T, Sutera P, Nguyen T, Chang JH, Jagtap S, Song Y, Shetty A, Chowdhury DD, Chan A, Carrieri FAA, Song D, DeWeese TL, Lafargue A, Van der Eecken K, Bunz F, Ost P, Tran PT, Deek MP. The Impact of TP53 Mutations and Use of the TP53-Mutation-Reactivating Agent APR-246 on Metastatic Castrate-Sensitive Prostate Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e443. [PMID: 37785435 DOI: 10.1016/j.ijrobp.2023.06.1621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) TP53 mutations appear to be enriched over the spectrum of metastatic castration-sensitive prostate cancer (mCSPC) and are associated with worse survival outcomes. We chose to further explore the impact of dominant negative (DN) TP53 mutations on mCSPC progression and pro-metastatic behaviors in addition to studying the ability of APR-246, a small molecule targeting TP53 mutants, to blunt pro-metastatic behaviors. MATERIALS/METHODS We retrospectively analyzed 531 mCSPC patients who underwent next-generation sequencing. Patients were stratified by metastasis timing (synchronous if metastasis present at diagnosis or metachronous if arising after definitive treatment of localized disease) and the number of metastatic lesions (oligometastatic ≤5 or polymetastatic >5 lesions). Tumors were classified based on TP53 mutation status (missense, truncating, or wild-type [WT]) and dominant negativity, which was defined as the production of a mutant protein that reduces the residual WT protein's transcriptional activity according to the World Health Organization TP53 database. Clinical outcomes were radiographic progression-free survival (rPFS) and overall survival (OS), evaluated with Kaplan-Meier and multivariable Cox regression. To verify the impact of TP53 mutation on metastasis, we created isogenic 22Rv1 prostate cancer cell lines that carried either TP53 WT or TP53 R175H and tested this mutation for migration, invasion, and anchorage-independent growth. APR-246 (25-80 µM) was tested for anti-metastatic properties in vitro and anti-tumor growth in 22Rv1 xenografted nude mice. RESULTS In our cohort, 155 (29.2%) had a TP53 mutation, which mostly occurred in the DNA-binding domain (85.16%). DN TP53 mutations were associated with more aggressive disease states: DN TP53 mutations were enriched in patients with synchronous (vs. metachronous: 20.7% vs. 6.3%, p < 0.01) and polymetastatic disease (vs. oligometastatic: 14.4% vs. 7.9%, p < 0.01). On multivariable analysis, DN TP53 mutations were correlated with shorter rPFS (HR = 1.97, 95% CI: 1.31-2.98, p < 0.01) and OS (HR = 2.05, 95% CI: 1.14-3.68, p = 0.02) compared to those with TP53 WT. In vitro, 22Rv1 cells with DN TP53 R175H mutation had increased abilities to migrate, invade, and form colonies compared to TP53 WT. APR-246 treatment of TP53 R175H mutants blunted the pro-metastatic effects of the cell line in vitro (p < 0.01 for all assays by unpaired t-test). Interestingly, APR-246 also inhibited xenograft tumor growth of 22Rv1 TP53 R175H mutants (p < 0.0001 by two-way ANOVA). CONCLUSION DN TP53 mutations were associated with poorer survival outcomes for mCSPC patients. DN TP53 mutations also promoted prostate cancer pro-metastatic behaviors in vitro, which was effectively counteracted by APR-246, making it a promising treatment option that should be explored further in early-phase clinical studies.
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Affiliation(s)
- T Hoang
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - P Sutera
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - T Nguyen
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - J H Chang
- University of Maryland, Baltimore, MD
| | - S Jagtap
- University of Maryland, Baltimore, MD
| | - Y Song
- University of Maryland, Baltimore, MD
| | - A Shetty
- University of Maryland, Baltimore, MD
| | | | - A Chan
- University of Maryland, Baltimore, MD
| | | | - D Song
- Johns Hopkins University School of Medicine, Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD
| | - T L DeWeese
- Johns Hopkins University School of Medicine, Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD
| | - A Lafargue
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - F Bunz
- Johns Hopkins Medicine, Baltimore, MD, United States
| | - P Ost
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - P T Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD
| | - M P Deek
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, New Brunswick, NJ
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Sutera P, Shetty A, Song Y, Hodges T, Hoang T, Rana ZH, Pienta K, Feng FY, Song D, DeWeese TL, Gillessen S, James N, Attard G, Deek MP, Tran PT. Identification of a Predictive Genomic Biomarker for Prostate Directed Therapy in Synchronous Low-Volume Metastatic Castration Sensitive Prostate Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e441-e442. [PMID: 37785432 DOI: 10.1016/j.ijrobp.2023.06.1619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Standard of care management for metastatic castration sensitive prostate cancer (mCSPC) includes androgen deprivation therapy (ADT) with docetaxel or second-generation anti-androgen therapy. Recently, randomized data has demonstrated radiotherapy to the prostate is associated with an improvement in overall survival among patients with low-volume metastatic disease. Tumor genomics represents an additional dimension to understand the clinical trajectory of patients with mCSPC. Herein we aim to evaluate a high-risk genomic signature for its ability to predict response to prostate directed therapy (PDT). MATERIALS/METHODS We performed a single institution retrospective review of men with low-volume mCSPC who underwent next-generation sequencing of their tumor. Patients were classified according to the presence of high-risk (HiRi) mutation including pathogenic mutations in either TP53, ATM, BRCA1/2, or Rb1. Our primary endpoint was to determine the effect of PDT on overall survival (OS) in patients with and without a HiRi mutation. Survival analysis was performed with the Kaplan-Meier method compared with log-rank test and multivariable cox regression. Interaction between HiRi mutation and PDT was evaluated. RESULTS A total of 101 patients with synchronous low-volume CSPC were included in our analysis with a median follow-up of 44 months. Approximately half of patients were found to have a HiRi pathogenic mutation (48.5%) with TP53 mutations accounting for 75.5% of HiRi mutations. On multivariable cox regression PDT was associated with improvement in OS (HR = 0.37, 95% CI 0.16-0.88; p = 0.03). When stratified by presence of HiRi mutation, PDT was not associated with any clinical outcome. Patients with HiRi mutations demonstrated a median OS of 73 vs 66.8 months (p = 0.28) for no PDT and PDT, respectively. Conversely, patients without a HiRi mutation demonstrated a significant improvement in median OS of 60 vs 105.3 months (p<0.01) for no PDT and PDT, respectively. The p-value for interaction for OS between PDT and HiRi mutation was statistically significant (p<0.01). CONCLUSION Here we have identified a high-risk genomic biomarker that appears predictive for response to PDT in men with synchronous low-volume mCSPC. Further work validating these results with prospective randomized data is warranted.
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Affiliation(s)
- P Sutera
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - A Shetty
- University of Maryland, Baltimore, MD
| | - Y Song
- University of Maryland, Baltimore, MD
| | - T Hodges
- University of Maryland, Baltimore, MD
| | - T Hoang
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Z H Rana
- Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, MD
| | - K Pienta
- Department of Medical Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - F Y Feng
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA
| | - D Song
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - T L DeWeese
- Johns Hopkins University School of Medicine, Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD
| | - S Gillessen
- Istituto Oncologico della Svizzera Italiana, Bellinzona, Switzerland
| | - N James
- The Royal Marsden Hospital NHS Foundation Trust and The Institute of Cancer Research, London, United Kingdom
| | - G Attard
- The Institute of Cancer Research, London, United Kingdom
| | - M P Deek
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, New Brunswick, NJ
| | - P T Tran
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD
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8
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Huynh H, Kelly TJ, Vu L, Hoang T, Nguyen PA, Le TC, Jarvis EA, Phan H. Quantum Chemistry-Machine Learning Approach for Predicting Properties of Lewis Acid-Lewis Base Adducts. ACS Omega 2023; 8:19119-19127. [PMID: 37273580 PMCID: PMC10233689 DOI: 10.1021/acsomega.3c02822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/09/2023] [Indexed: 06/06/2023]
Abstract
Synthetic design allowing predictive control of charge transfer and other optoelectronic properties of Lewis acid adducts remains elusive. This challenge must be addressed through complementary methods combining experimental with computational insights from first principles. Ab initio calculations for optoelectronic properties can be computationally expensive and less straightforward than those sufficient for simple ground-state properties, especially for adducts of large conjugated molecules and Lewis acids. In this contribution, we show that machine learning (ML) can accurately predict density functional theory (DFT)-calculated charge transfer and even properties associated with excited states of adducts from readily obtained molecular descriptors. Seven ML models, built from a dataset of over 1000 adducts, show exceptional performance in predicting charge transfer and other optoelectronic properties with a Pearson correlation coefficient of up to 0.99. More importantly, the influence of each molecular descriptor on predicted properties can be quantitatively evaluated from ML models. This contributes to the optimization of a priori design of Lewis adducts for future applications, especially in organic electronics.
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Affiliation(s)
- Hieu Huynh
- Fulbright
University Vietnam, Ho Chi
Minh 72908, Vietnam
| | - Thomas J. Kelly
- Loyola
Marymount University, Los Angeles, California 90045, United States
| | - Linh Vu
- Fulbright
University Vietnam, Ho Chi
Minh 72908, Vietnam
| | - Tung Hoang
- Independent
Researcher, Palo Alto, California 94303, Unites States
| | - Phuc An Nguyen
- Fulbright
University Vietnam, Ho Chi
Minh 72908, Vietnam
| | - Tu C. Le
- School
of Engineering, STEM College, RMIT University, Melbourne, Victoria 3000, Australia
| | - Emily A. Jarvis
- Loyola
Marymount University, Los Angeles, California 90045, United States
| | - Hung Phan
- Fulbright
University Vietnam, Ho Chi
Minh 72908, Vietnam
- Soka
University of America, Aliso Viejo, California 92656, United States
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9
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Park H, Hoang T, Kim MJ, Park JW, Jeong SY, Shin A. Abstract 5892: Microbial diversity and composition according to short-term postoperative complication status in colorectal cancer patients. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-5892] [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: 04/07/2023]
Abstract
Abstract
Background: Previous studies have suggested the disturbance in the microbial composition followed by dysbiosis contribute to the onset of gastrointestinal malignancies, including colorectal cancer (CRC). However, the impact of microbiome on short-term postoperative complications after CRC surgery is not well investigated. This study aimed to investigate whether the gut microbial diversity and composition in CRC patients were associated with the occurrence of short-term postoperative complications.
Methods: We linked the clinical data and preoperative sequencing data of fecal samples of 331 patients who underwent CRC surgery from 2017 to 2019 in Seoul National University Hospital. Short-term postoperative complications were defined as first complications that developed within 30 days of surgery. We used linear discriminant analysis (LDA) of effect size (LEfSe) in the Galaxy webserver to identify enriched bacteria in patients with and without complications. Then, we calculated microbial dysbiosis index (MDI) by each patient and compared them according to the complication status. Wilcoxon rank sum test was conducted to compare the alpha diversity indices according to the complication event. Subgroup analyses according to types of complications were also performed: surgical procedure-related (SP) group and nonsurgical procedure-related (NSP) group.
Results: Overall, 84 patients (25%) developed short-term postoperative complications: SP group (n=39) and NSP group (n=45). From the LEfSe analysis, Bacteroides uniformis (LDA score: 3.64, p-value 0.04) and Clostridium colicanis (LDA score: 3.39, p-value 0.01) were enriched in patients who developed short-term complications, whereas Roseburia faecis (LDA score: 3.26, p-value 0.05), Bifidobacterium bifidum (LDA score: 2.98, p-value 0.03), Faecalibacterium sp. (LDA score: 3.12, p-value 0.02) and Prevotella nigrescens (LDA score: 2.87, p-value 0.05) were enriched in patients without complications. When compared with patients without complications, taxa related to class Gammaproteobacteria, genus Clostridium, species Roseburia faecis, and Desulfovibrio D168 were abundant in the SP group. Alpha diversity indices were not significantly different according to the complication status or the type of complication. MDI from the enriched bacteria were significantly higher in patients with complications compared to those without complications (p-value<0.001), and MDI of the SP group were also significantly higher than that of patients free of complications (p-value 0.001).
Conclusion: Our study suggests a potential relationship between microbial composition and surgical outcome in CRC patients. No significant difference in alpha diversity was observed according to the occurrence or the type of complication. Further studies are needed to investigate the postoperative changes of microbial features.
Citation Format: Hyeree Park, Tung Hoang, Min Jung Kim, Ji Won Park, Seung-Yong Jeong, Aesun Shin. Microbial diversity and composition according to short-term postoperative complication status in colorectal cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5892.
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Affiliation(s)
- Hyeree Park
- 1Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tung Hoang
- 1Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Min Jung Kim
- 1Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji Won Park
- 1Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung-Yong Jeong
- 1Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Aesun Shin
- 1Seoul National University College of Medicine, Seoul, Republic of Korea
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10
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Wang X, Raman N, Lemtiri-Chlieh G, Chang J, Jagtap S, Chowdhury DD, Ballew M, Carrieri FA, Nguyen T, Nugent K, Peck T, Levine MS, Chan A, Lam C, Malek R, Hoang T, Phillips R, Cheng Z, Taparra K, Connis N, Hann CL, Holland A, Tran PT, Lafargue A, Wang H. Griseofulvin Radiosensitizes Non-Small Cell Lung Cancer Cells and Activates cGAS. Mol Cancer Ther 2023; 22:519-528. [PMID: 36752776 PMCID: PMC10073282 DOI: 10.1158/1535-7163.mct-22-0191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/28/2022] [Accepted: 01/31/2023] [Indexed: 02/09/2023]
Abstract
Extra copies of centrosomes are frequently observed in cancer cells. To survive and proliferate, cancer cells have developed strategies to cluster extra-centrosomes to form bipolar mitotic spindles. The aim of this study was to investigate whether centrosome clustering (CC) inhibition (CCi) would preferentially radiosensitize non-small cell lung cancer (NSCLC). Griseofulvin (GF; FDA-approved treatment) inhibits CC, and combined with radiation treatment (RT), resulted in a significant increase in the number of NSCLC cells with multipolar spindles, and decreased cell viability and colony formation ability in vitro. In vivo, GF treatment was well tolerated by mice, and the combined therapy of GF and radiation treatment resulted in a significant tumor growth delay. Both GF and radiation treatment also induced the generation of micronuclei (MN) in vitro and in vivo and activated cyclic GMP-AMP synthase (cGAS) in NSCLC cells. A significant increase in downstream cGAS-STING pathway activation was seen after combination treatment in A549 radioresistant cells that was dependent on cGAS. In conclusion, GF increased radiation treatment efficacy in lung cancer preclinical models in vitro and in vivo. This effect may be associated with the generation of MN and the activation of cGAS. These data suggest that the combination therapy of CCi, radiation treatment, and immunotherapy could be a promising strategy to treat NSCLC.
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Affiliation(s)
- Xing Wang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Breast and Thyroid Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Natasha Raman
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Ghali Lemtiri-Chlieh
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Jinhee Chang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Shreya Jagtap
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Dipanwita Dutta Chowdhury
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Matthew Ballew
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Francesca Anna Carrieri
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Triet Nguyen
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Katriana Nugent
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Travis Peck
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Michelle S. Levine
- Department of Molecular Biology and Genetics, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Aaron Chan
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Christine Lam
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Reem Malek
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Tung Hoang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Ryan Phillips
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, The Mayo Clinic, Rochester, MN, USA
| | - ZhuoAn Cheng
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Kekoa Taparra
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Stanford Medicine, Stanford, CA, USA
| | - Nick Connis
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Christine L. Hann
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Andrew Holland
- Department of Molecular Biology and Genetics, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Phuoc T. Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Urology, James Buchanan Urological Institute, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
| | - Audrey Lafargue
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Division of Translational Radiation Sciences, University of Maryland Baltimore, School of Medicine, Baltimore, MD, USA
| | - Hailun Wang
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- GenoImmune Therapeutics, Wuhan, China
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11
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Hoang T, Kim M, Park JW, Jeong SY, Lee J, Shin A. Correction to: Dysbiotic microbiome variation in colorectal cancer patients is linked to lifestyles and metabolic diseases. BMC Microbiol 2023; 23:72. [PMID: 36927367 PMCID: PMC10018818 DOI: 10.1186/s12866-023-02816-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Affiliation(s)
- Tung Hoang
- Department of Preventive Medicine, Seoul National University College of Medicine, 03080, Seoul, South Korea.,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, 03080, Seoul, South Korea
| | - Minjung Kim
- Department of Surgery, Seoul National University College of Medicine, 03080, Seoul, South Korea.
| | - Ji Won Park
- Department of Surgery, Seoul National University College of Medicine, 03080, Seoul, South Korea
| | - Seung-Yong Jeong
- Department of Surgery, Seoul National University College of Medicine, 03080, Seoul, South Korea
| | - Jeeyoo Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, 03080, Seoul, South Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, 03080, Seoul, South Korea. .,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, 03080, Seoul, South Korea. .,Cancer Research Institute, Seoul National University, 03080, Seoul, South Korea.
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12
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Burnett D, Avinashi V, Hoang T, Otley A, Persad R, Sherlock M, Huynh H. A143 PEDIATRIC EOSINOPHILIC ESOPHAGITIS IN CANADA: A MULTI-CENTER COHORT WITH FOCUS ON THE STRICTURING PHENOTYPE. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991379 DOI: 10.1093/jcag/gwac036.143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Eosinophilic esophagitis (EoE) is a chronic eosinophil-predominant esophageal inflammatory condition, and is now recognized as one of the most common organic causes of dysphagia in pediatrics. While fibrostenotic esophageal strictures are a common complication of adult EoE, characterization of the stricturing phenotype in pediatric EoE remains at an early stage. Purpose Describe the Canadian pediatric EoE experience, with focus on the stricturing phenotype. Method New pediatric EoE diagnoses from 2015-2018 were retrospectively identified in Vancouver (BC), Northern Alberta (AB), Hamilton (ON) and Nova Scotia (NS). Incidence rates were calculated using 2016 Federal census data. Clinical, endoscopic and histologic data were gathered for each patient’s initial clinical encounter and for any esophagogastroduodenoscopies (EGD) until the end of the follow-up period (fall 2019). Result(s) 332 new EoE cases were identified during the study period across all 4 sites. The incidence of EoE in patients less than 15 years old was 9.1 (AB), 6.5 (NS), 3.1 (BC) and 5.4 (combined) per 100,000 person-years. Incidence was not calculated for Hamilton due to risk of ascertainment bias given their catchment area overlaps with multiple other centers. Of identified cases, 40 (12.0%) had endoscopically-identified esophageal strictures at diagnosis or during the follow-up period, with a subset of 11 (3.3%) of these patients undergoing mechanical esophageal dilation. Another 11 (3.3%) patients had more subtle signs of esophageal narrowing (ex. mucosal rents), while the majority had no evidence of esophageal narrowing (281, 84.6%). The median age at diagnosis was higher in the cohort with strictures (12.4 years, IQR 8.9-14.1) than those without (10.3 years, IQR 6.1-13.6) but with wide IQR's. A similar trend was seen for the median duration of symptoms at diagnosis (1.5 years, IQR 0.5-3 versus 1.0 years, IQR 0.6-2.8). Patient reported food bolus impaction (OR 9.8, 95% CI 3.9-19.9) and dysphagia (OR 3.3, 95% CI 1.3-7.8) were associated with stricturing disease, with other symptoms less clearly linked. Trachealization was the endoscopic finding most closely associated with esophageal strictures (OR 5.7, 95% CI 2.8-11.5). Esophageal stricture(s) were noted on 72 EGDs, including 27 endoscopic esophageal dilations, but excluding 10 esophageal dilations by interventional radiology. Of the 65 EGDs done in follow-up of a known esophageal stricture (see Table), 4 of 31 had resolution of this finding post mechanical dilation, and 19 of 39 had resolution of the stricture after initiation of new medical or dietary treatments (without dilation). Conclusion(s) EoE is common in Canadian children, with esophageal strictures within a few years of diagnosis in 12% of cases. Interestingly, a large portion of strictures resolved without mechanical dilation, which seems to point away from fibrosis as the primary driver of esophageal strictures in this patient population. Please acknowledge all funding agencies by checking the applicable boxes below CAG, Other Please indicate your source of funding; Women and Children's Health Research Institute Disclosure of Interest None Declared
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Affiliation(s)
- D Burnett
- Dalhousie University, Halifax,University of Saskatchewan, Saskatoon
| | - V Avinashi
- University of British Columbia, Vancouver
| | - T Hoang
- University of British Columbia, Vancouver
| | - A Otley
- Dalhousie University, Halifax
| | | | | | - H Huynh
- University of Alberta, Edmonton
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13
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Bedi H, Rosenfeld D, Hoang T, Reise-Filteau M, Bressler B, Leung Y, Singh S, Rosenfeld G. A175 REAL-WORLD EXPERIENCE ON SWITCHING FROM ADALIMUMAB TO BIOSIMILARS IN PATIENTS WITH INFLAMMATORY BOWEL DISEASE – AN OBSERVATIONAL STUDY FROM THREE TERTIARY CARE CENTRES. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991257 DOI: 10.1093/jcag/gwac036.175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Inflammatory Bowel Disease (IBD) is a chronic inflammatory condition of the bowel which includes ulcerative colitis (UC), Crohn’s disease (CD) or unspecific IBD (IBDu). Adalimumab (ADA), a humanized monoclonal IgG antibody against tumour necrosis factor-alpha (TNFa), is an effective treatment for IBD. HumiraTM is an anti-TNFa agent that was approved by Health Canada for the treatment of IBD. In May of 2019, the British Columbia government pharmaceutical benefit plan implemented a biosimilar initiative in May 2019, mandating a non-medical switch from HumiraTM to one of the biosimilar drugs. Purpose We aimed to evaluate the real-world experience on the comparative safety and effectiveness of adalimumab biosimilar therapy after a mandatory, non-medical switch. Method We performed a retrospective chart review of all patients with IBD who either remained on HumiraTM or were switched to an adalimumab biosimilar agent, Idacio, at three tertiary care centres. Patients’ demographic data, disease status including CRP and fecal calprotectin before and after switch, and hospital visits or admission after switch were collected. Statistical analysis was performed using ANOVA and t-test. Result(s) Of the 191 patients included in the study, 145 patients underwent the provincial mandated switch from HumiraTM to a biosimilar agent, Idacio® , whereas 46 patients remained on HumiraTM. The median age at IBD diagnosis was 27 years (range 3-76 years), and at biosimilar switch was 43.5 years (15-78 years). Median disease duration prior to biosimilar switch was 13.5 years (range 0-69 years). 55.1% of patients were male, and 12.9% of patients were active smokers. CD was found in 78.9% of patients, and 19.9% of patients had UC. After biosimilar switch, adverse events, such as rash, nausea, or vomiting, were noted in 10 patients in the biosimilar group, and 7 patients required switch back to HumiraTM. All patients in the HumiraTM group stayed on that therapy. One patient stopped the biosimilar agent due to development of a new cancer requiring chemotherapy. None of the patients required IBD-related emergency department visit or hospital admission. Additionally, there was no difference in CRP or fecal calprotectin values measured before and after the biosimilar switch, and when compared to the patients who stayed on HumiraTM (p=0.48, and p=0.142, respectively). Conclusion(s) We conclude that the clinical benefit of HumiraTM was sustained after a non-medical switch to an adalimumab biosimilar. There was no risk of relapse, emergency visit, or hospital admission seen in this study. This is the first Canadian study to establish the safety and efficacy of switch to non-medical switch to an adalimumab biosimilar agent. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared
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Affiliation(s)
- H Bedi
- Gastroenterology, University of British Columbia, Vancouver
| | | | - T Hoang
- Medicine, University of British Columbia
| | | | - B Bressler
- Gastroenterology, University of British Columbia, Vancouver,Gastroenterology , St. Paul's Hospital, Vancouver
| | - Y Leung
- Gastroenterology, University of British Columbia, Vancouver,Gastroenterology , St. Paul's Hospital, Vancouver
| | - S Singh
- Gastroenterology, University of British Columbia,Gastroenterology, Kelowna General Hospital , Kelowna, Canada
| | - G Rosenfeld
- Gastroenterology, University of British Columbia, Vancouver,Gastroenterology , St. Paul's Hospital, Vancouver
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14
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Strongin Z, Deleage C, Hoang T, Tharp G, Nguyen K, Rahmberg A, Brenchley J, Bosinger S, Kissick H, Paiardini M. PP 4.18 – 00213 Dynamics and antiviral role of TOX+ TCF1+ CD39+ CD8 T cells in lymphoid tissue of SIV-infected rhesus macaques. J Virus Erad 2022. [DOI: 10.1016/j.jve.2022.100226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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15
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Hoang T, Clement C. Filtering Pseudo-Bleb Secondary to Sutured Posterior Chamber Intraocular Lens with Implications for Ocular Surgery in Marfan Syndrome. Turk J Ophthalmol 2022; 52:440-442. [PMID: 36578231 PMCID: PMC9811232 DOI: 10.4274/tjo.galenos.2022.54936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
A 51-year-old female Caucasian patient with a history of Marfan syndrome and multiple previous bilateral ocular surgeries presented with increasing discomfort, epiphora, and blurred vision in her right eye for a few months. On examination, we found an overhanging cystic Seidel-positive filtering pseudo-bleb with hypotony in her right eye and a smaller Seidel-negative filtering pseudo-bleb in the left eye secondary to sutured intraocular lens (IOL) in both eyes. Intraoperatively, two full-thickness scleral defects were found close to the limbus, suggesting a melting flap in the location of the previous sutured IOL implant in the right eye. The defects were plugged with two pieces of donor sclera and covered with a larger donor scleral patch, the ischemic conjunctiva was excised, and the remaining healthy conjunctiva was advanced and sutured along the limbus. At last follow-up, intraocular pressure and vision in the right eye increased to preoperative levels, and no pseudo-bleb or leak was detected.
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Affiliation(s)
- Tung Hoang
- Sydney Eye Hospital, Glaucoma Unit, Sydney, Australia,The University of Sydney, Save Sight Institute, Sydney, Australia,Hanoi Medical University, Ophthalmology Department, Hanoi, Vietnam,* Address for Correspondence: Sydney Eye Hospital, Glaucoma Unit, Sydney, Australia E-mail:
| | - Colin Clement
- Sydney Eye Hospital, Glaucoma Unit, Sydney, Australia,The University of Sydney, Save Sight Institute, Sydney, Australia
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Nguyen TH, Chau TL, Hoang T, Nguyen T. Developing artificial neural network models to predict corrosion of reinforcement in mechanically stabilized earth walls. Neural Comput Appl 2022. [DOI: 10.1007/s00521-022-08043-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Holinstat M, Adili R, Stanger L, Hoang T, Lambert S, Rhoads N, Dahlof B, Bergh N. CS014 is a novel HDAC inhibitor regulating the platelet activity, fibrinolysis and clot stability for prevention of thrombosis without increased risk of bleeding. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Cardiovascular disease is the leading cause of morbidity and mortality. A major challenge with current antithrombotic treatments is the increased risk of bleeding associated with effective inhibition of clot formation. We have developed a novel histone deacetylase inhibitor (HDACi) that effectively prevents occlusive thrombosis following vascular injury without increasing bleeding diathesis commonly associated with antithrombotic drugs.
Purpose
Develop an HDACi and antiplatelet drug, CS014, with an improved efficacy/safety profile and reduced bleeding risk compared with current anticoagulant and antiplatelet therapeutic approaches used to prevent thrombosis.
Methods
We assessed thrombosis and bleeding in mouse models by labelling platelets and fibrin and measuring accumulation at the site of injury using intravital microscopy. Drug was administered IP for 5 days prior to the experiments. Degree of clot formation in the vessel was assessed in the 1) laser-induced cremaster thrombosis assay, 2) carotid artery FeCl3 thrombosis assay, and 3) saphenous vein rebleeding laser-induced puncture wound assay. Bleeding was assessed in the tail vein bleeding assay. Potential off-target effects were studied using thromboelastography (TEG).
Results
CS014 treatment significantly reduced clot formation and fibrin formation at the site of injury in the laser-induced cremaster arteriole thrombosis assay (Fig. 1). FeCl3-induced injury of the carotid artery resulted in full occlusion of the carotid artery within 12–15 minutes. Treatment with CS014 was able to prevent full occlusion of the carotid artery, supporting its benefit in arterial injury conditions. In the saphenous vein rebleeding assay, fibrin and platelet accumulation at the site of injury wound was significantly inhibited, suggesting that CS014 functions in both arterial and venous systems to attenuate clot and thrombosis. The tail vein bleeding assay confirmed that while the thrombus formation and stability was decreased based on the cremaster and carotid artery assays, no significant change was observed in bleeding time under these conditions. Finally, TEG experiments in mouse blood treated with or without CS014 demonstrated no delay or decrease in clot strength confirming the prevention of a bleeding diathesis observed in the tail vein bleeding assay experiments.
Conclusions
We have shown for the first time that the HDACi CS014 results in inhibition of mouse thrombosis and decreased time to clot resolution without an increased risk of bleeding. This discovery represents a new class of inhibitors for prevention of platelet activation and thrombosis with the potential to protect from myocardial infarction and stroke while increasing fibrinolytic ability in the blood to limit the risk of thromboembolism on the venous side, with no signs of increased bleeding risk.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): Cereno Scientific
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Affiliation(s)
- M Holinstat
- University of Michigan , Ann Arbor , United States of America
| | - R Adili
- University of Michigan , Ann Arbor , United States of America
| | - L Stanger
- University of Michigan , Ann Arbor , United States of America
| | - T Hoang
- University of Michigan , Ann Arbor , United States of America
| | - S Lambert
- University of Michigan , Ann Arbor , United States of America
| | - N Rhoads
- University of Michigan , Ann Arbor , United States of America
| | - B Dahlof
- University of Gothenburg , Gothenburg , Sweden
| | - N Bergh
- University of Gothenburg , Gothenburg , Sweden
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Hmadeh S, Trimaille A, Matsushita K, Zobairi F, Sato C, Kindo M, Hoang T, Marchandot B, Toti F, Zibara K, Hamade E, Schini Kerth V, Kauffenstein G, Morel O. Enrichment in procoagulant microparticles in calcified human aortic valve – role in valvular endothelium alterations and enhanced thrombogenicity. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Aortic stenosis (AS) is characterized by endothelial dysfunction (ED), inflammatory cell infiltration, myofibroblastic and osteoblastic differentiation. Subclinical leaflet thrombosis was recently linked to higher rates of stroke and transient ischemic attack after transcatheter aortic valve implantation (TAVI). Procoagulant microparticles (MPs) are associated with ED, inflammation and clot formation. There is limited evidence regarding intra-valvular MPs content and their potential biological effects. This question is particularly relevant in TAVI in which the residing native valve could constitute a source of thrombotic activity enhancing leaflet thrombosis and valve dysfunction.
Purpose
Therefore, we hypothesized that MPs trapped within the native aortic valve contribute to valvular dysfunction including enhanced thrombogenicity.
Methods
Human valves were collected from patients undergoing surgical valve replacement for AS or aortic insufficiency (AI). Pro-thrombotic, pro-inflammatory, and ED markers were identified in the calcified vs non-calcified part of the valves by Western-blot. Calcium content was measured through colorimetric method. MPs were extracted from human pathological valves, and quantified through their prothrombinase activity. Primary cultures of porcine valvular endothelial cells (VEC) were treated with the MPs (10 nmol/L) or thrombin (1U/ml) for 24hrs. Phenotypic change was appreciated through gene expression pattern assessed by RT-qPCR. IL-8 secretion was measured by ELISA.
Results
The phenotype of the AS valve was characterized through increased expression of thrombogenic (tissue factor, thrombomodulin, PAI-1), adhesive (VCAM-1, ICAM-1) and inflammatory (COX-1, COX-2) molecules in the calcified part of the valve. Moreover, MPs content was increased in the calcified vs non-calcified part of the valve or AI valves. MPs levels was correlated with valvular calcium content (R=0.3862: p<0.001). Tissue factor was increased in MPs extracted from AS vs AI. The biological effect of MPs was tested on VEC in-vitro. Results showed dramatic increase in expression of inflammatory cytokines (CXCL10, CCL11, CXCL8, MCP1) adhesion molecules (VCAM-1, ICAM-1, SELP, SELE) and proangiogenic factors (VEGFR2, ANGPTL4) in VEC exposed to MPs (24h) from AS vs AI. Enhanced secretory phenotype was evidenced through IL-8 determination in the supernatant of VEC stimulated with MPs from AS valve.
Conclusion
Calcified aortic valve is a potent reservoir of MPs, acting as a pro-thrombogenic source per se and promoting a switch of VEC phenotype toward prothrombotic, proinflammatory and proangiogenic pattern. These data suggest that MPs released from the native valve constitute an important source of mediators involved in enhanced thrombogenicity and valvular remodeling.
Funding Acknowledgement
Type of funding sources: Other. Main funding source(s): GERCA-Groupe Etudes Reali Commercia Avignon
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Affiliation(s)
- S Hmadeh
- INSERM, UMR 1260 , Strasbourg , France
| | - A Trimaille
- Civil Hospital/ Nouvel Hopital Civil , Strasbourg , France
| | | | - F Zobairi
- INSERM, UMR 1260 , Strasbourg , France
| | - C Sato
- INSERM, UMR 1260 , Strasbourg , France
| | - M Kindo
- Civil Hospital/ Nouvel Hopital Civil , Strasbourg , France
| | - T Hoang
- Civil Hospital/ Nouvel Hopital Civil , Strasbourg , France
| | - B Marchandot
- Civil Hospital/ Nouvel Hopital Civil , Strasbourg , France
| | - F Toti
- INSERM, UMR 1260 , Strasbourg , France
| | - K Zibara
- Lebanese University , Beirut , Lebanon
| | - E Hamade
- Lebanese University , Beirut , Lebanon
| | | | | | - O Morel
- Civil Hospital/ Nouvel Hopital Civil , Strasbourg , France
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Hoang T, Woo H, Cho S, Lee J, Kazmi SZ, Shin A. Descriptive Analysis of Gastric Cancer Mortality in Korea, 2000-2020. Cancer Res Treat 2022; 55:603-617. [PMID: 36097804 PMCID: PMC10101797 DOI: 10.4143/crt.2022.307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 09/02/2022] [Indexed: 11/21/2022] Open
Abstract
PURPOSE This study aimed to examine secular trends, age-period-cohort effects, and geographical differences in gastric cancer (GC) mortality in Korea. Materials and Methods Using cause of death data from the Korean Statistical Information Service for GC from 2000 to 2020, we calculated average annual percentage changes (AAPCs) in the age-standardized mortality of GC in 17 cities and provinces through joinpoint regression. Decomposition of age, period, and cohort effects on GC mortality were elucidated by applying a log-linear model and an intrinsic estimate method. Spatial patterns and the degree of spatial clustering in 250 administrative regions were explored via Moran's I statistics. Stratification by sex was performed for all analyses. RESULTS The age-standardized mortality of GC per 100,000 persons declined from 29.0 in 2000 to 7.9 in 2020 (AAPC, -6.28%). Age-period-cohort analyses of GC mortality showed a downward trend among five-year age groups from age 20-89 years across five-year periods from 2005-2020 and five-year birth cohorts from 1920-2000. Overall, the younger birth cohort showed lower mortality rates than the older cohort within the same period. In 2020, clusters of high GC mortality were observed in the central area for men (Chungcheongbuk, Jeollabuk, Gyeongsangbuk, and Gyeongsangnam) and in the eastern area for women (Gyeongsangbuk). CONCLUSION This study identified a downward trend in GC mortality among men and women from 2000 to 2020 in Korea. This trend was mainly attributed to birth cohort rather than period effects. Spatial analysis showed high GC mortality in the Chungcheong and Gyeongsangbuk areas.
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Rigg EK, Wang J, Xue Z, Lunavat T, Hoang T, Parajuli H, Han M, Liu G, Bjerkvig R, Nazarov P, Nicot N, Kreis S, Wurth C, Miletic H, Sundstrøm T, Li X, Thorsen F. P12.09.B Extracellular vesicle derived-miR-146a increases melanoma brain metastasis progression via Notch signalling pathway dysregulation. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.274] [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
Melanoma has the highest tropism of any cancer to metastasize to the brain, and 40% of late-stage patients develop brain metastasis. Invasion, survival, and progression of tumors is dependent on the support of the surrounding microenvironment; therefore, modulation of neighboring cells is a key factor in metastasis. Extracellular vesicles (EVs) are important in cell-to-cell signalling, shuttling proteins, RNA and DNA to alter the surroundings into a favorable tumor microenvironment. Our aims were to investigate the role of melanoma brain metastasis (MBM) derived EVs in MBM development to find possible contributing mechanisms to cancer progression for eventual therapeutic targeting.
Material and Methods
MBM-EVs isolated via sequential ultracentrifugation were injected into mice as a pre-treatment prior to intracardial injection of MBM cells. EVs were co-cultured with normal human astrocytes (NHA) to investigate phenotypic changes. MiRNA sequencing was performed on EVs collected from MBM cells and compared to NHA and melanocytes to determine a candidate miRNA for targeting. In situ hybridization was utilized to evaluate the level of miRNA in clinical patient MBM samples. Functional in vivo validation was performed by injecting miRNA knockout MBM cells into mice. Sequencing of NHA in the presence or absence of target miRNA mimic was used to determine downstream targets.
Results
Mice primed with EVs had a significant increase in MBM tumor burden, compared to non-primed mice. Co-culture with MBM-EVs resulted in NHA activation in vitro, with increased proliferation, invasion, cytokine production, and upregulation of GFAP. MiR-146a was highly upregulated in MBM EVs, and miR-146a mimics activated NHA. Patient samples had a significant increase in miR-146a expression, compared to healthy brain controls. MiR-146a knockdown in MBM mice models reduced MBM burden and prolonged animal survival. Sequencing of NHA determined NUMB, an inhibitor of the Notch signalling pathway, as a target of miR-146a. Numb and other downstream Notch proteins expression was significantly altered in NHA in the presence of both MBM-EVs and miR-146a.
Conclusion
In conclusion, EVs are important regulators of MBM and establish tumor-supporting reactive astrocytes by delivery of miR-146a. MiR-146a alters Notch signalling in astrocytes via inhibition of the tumor suppressor gene NUMB. Elevated miR-146a levels in patients suggests a potential clinical intervention is possible via miR-146a targeting.
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Affiliation(s)
- E K Rigg
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - J Wang
- Department of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine , Jinan , China
- Shandong Key Laboratory of Brain Function Remodeling , Jinan , China
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - Z Xue
- Department of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine , Jinan , China
- Shandong Key Laboratory of Brain Function Remodeling , Jinan , China
| | - T Lunavat
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - T Hoang
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - H Parajuli
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - M Han
- Department of Biomedicine, University of Bergen , Bergen , Norway
- Department of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine , Jinan , China
- Shandong Key Laboratory of Brain Function Remodeling , Jinan , China
| | - G Liu
- Department of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine , Jinan , China
- Shandong Key Laboratory of Brain Function Remodeling , Jinan , China
| | - R Bjerkvig
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - P Nazarov
- Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health , Luxembourg , Luxembourg
| | - N Nicot
- Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health , Luxembourg , Luxembourg
| | - S Kreis
- Signal Transduction Group, Department of Life Sciences and Medicine, University of Luxembourg , Luxembourg , Luxembourg
| | - C Wurth
- Signal Transduction Group, Department of Life Sciences and Medicine, University of Luxembourg , Luxembourg , Luxembourg
| | - H Miletic
- Department of Biomedicine, University of Bergen , Bergen , Norway
| | - T Sundstrøm
- Department of Neurosurgery, Haukeland University Hospital , Bergen , Norway
| | - X Li
- Department of Neurosurgery, Qilu Hospital of Shandong University and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine , Jinan , China
- Shandong Key Laboratory of Brain Function Remodeling , Jinan , China
| | - F Thorsen
- Molecular Imaging Center, Department of Biomedicine, University of Bergen , Bergen , Norway
- Department of Biomedicine, University of Bergen , Bergen , Norway
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Hoang T, Elliot M, Poletes C, Makarem M, Corke L, Weiss J, Tsao MS, Bradbury P, Shepherd F, Liu G, Leighl N, Sacher A, Lau S. EP08.01-067 Rechallenging with PD-1 Inhibitors: Incidence and Management of Immune-Related Adverse Events in Metastatic NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Henkel C, Essink MH, Hoang T, van Zwieten GJ, van Brummelen EH, Thiele U, Snoeijer JH. Soft wetting with (a)symmetric Shuttleworth effect. Proc Math Phys Eng Sci 2022; 478:20220132. [PMID: 35937429 PMCID: PMC9347665 DOI: 10.1098/rspa.2022.0132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/04/2022] [Indexed: 11/12/2022] Open
Abstract
The wetting of soft polymer substrates brings in multiple complexities when compared with the wetting on rigid substrates. The contact angle of the liquid is no longer governed by Young’s Law, but is affected by the substrate’s bulk and surface deformations. On top of that, elastic interfaces exhibit a surface energy that depends on how much they are stretched—a feature known as the Shuttleworth effect (or as surface-elasticity). Here, we present two models through which we explore the wetting of drops in the presence of a strong Shuttleworth effect. The first model is macroscopic in character and consistently accounts for large deformations via a neo-Hookean elasticity. The second model is based on a mesoscopic description of wetting, using a reduced description of the substrate’s elasticity. While the second model is more empirical in terms of the elasticity, it enables a gradient dynamics formulation for soft wetting dynamics. We provide a detailed comparison between the equilibrium states predicted by the two models, from which we deduce robust features of soft wetting in the presence of a strong Shuttleworth effect. Specifically, we show that the (a)symmetry of the Shuttleworth effect between the ‘dry’ and ‘wet’ states governs horizontal deformations in the substrate. Our results are discussed in the light of recent experiments on the wettability of stretched substrates.
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Affiliation(s)
- C. Henkel
- Institut für Theoretische Physik, Westfälische Wilhelms-Universität Münster, Wilhelm-Klemm-Str. 9, Münster 48149, Germany
| | - M. H. Essink
- Physics of Fluids Group, Faculty of Science and Technology, Mesa+ Institute, University of Twente, Enschede 7500 AE, The Netherlands
| | - T. Hoang
- Physics of Fluids Group, Faculty of Science and Technology, Mesa+ Institute, University of Twente, Enschede 7500 AE, The Netherlands
| | | | - E. H. van Brummelen
- Multiscale Engineering Fluid Dynamics Group, Department of Mechanical Engineering, Eindhoven University of Technology, PO Box 513, Eindhoven 5600 MB, The Netherlands
| | - U. Thiele
- Institut für Theoretische Physik, Westfälische Wilhelms-Universität Münster, Wilhelm-Klemm-Str. 9, Münster 48149, Germany
- Center for Nonlinear Science (CeNoS), Westfälische Wilhelms-Universität Münster, Corrensstr. 2, Münster 48149, Germany
| | - J. H. Snoeijer
- Physics of Fluids Group, Faculty of Science and Technology, Mesa+ Institute, University of Twente, Enschede 7500 AE, The Netherlands
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Gunathilake M, Hoang T, Lee J, Kim J. Association between dietary intake networks identified through a Gaussian graphical model and the risk of cancer: a prospective cohort study. Eur J Nutr 2022; 61:3943-3960. [PMID: 35763057 DOI: 10.1007/s00394-022-02938-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 06/07/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE In this study, we aimed to investigate the association between dietary communities identified by a Gaussian graphical model (GGM) and cancer risk. METHODS We performed GGM to identify the dietary communities in a Korean population. GGM-derived communities were then scored and investigated for their association with cancer incidence in the entire population as well as in the 1:1 age- and sex-matched subgroup using a Cox proportional hazards model. In the sensitivity analysis, GGM-derived communities were compared to dietary patterns (DPs) that were identified by principal component analysis (PCA) and reduced rank regression (RRR). RESULTS During a median time to follow-up of 6.6 years, 397 cancer cases were newly diagnosed. The GGM identified 17 and 16 dietary communities for the total and matched populations, respectively. For each one-unit increase in the standard deviation of the community-specific score of the community that was composed of dairy products and bread, there was a reduced risk of cancer according to the fully adjusted model (HR: 0.80, 95% CI: 0.66-0.96). In the matched population, the third tertile of the community-specific score of the community composed of poultry, seafood, bread, cakes and sweets, and meat by-products showed a significantly reduced risk of cancer compared to that of the lowest tertile in the fully adjusted model (HR: 0.66, 95% CI: 0.50-0.86, p-trend = 0.002). CONCLUSION We found that the GGM-identified community composed of dairy products and bread showed a reduced risk of cancer. Further population-based prospective studies should be conducted to examine possible associations of dietary intake and specific cancer types.
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Affiliation(s)
- Madhawa Gunathilake
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do, 10408, Republic of Korea
| | - Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do, 10408, Republic of Korea
| | - Jeonghee Lee
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do, 10408, Republic of Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do, 10408, Republic of Korea.
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Hoang T, Kim MJ, Park JW, Jeong SY, Lee J, Shin A. Nutrition-wide association study of microbiome diversity and composition in colorectal cancer patients. BMC Cancer 2022; 22:656. [PMID: 35701733 PMCID: PMC9199192 DOI: 10.1186/s12885-022-09735-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 06/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The effects of diet on the interaction between microbes and host health have been widely studied. However, its effects on the gut microbiota of patients with colorectal cancer (CRC) have not been elucidated. This study aimed to investigate the association between diet and the overall diversity and different taxa levels of the gut microbiota in CRC patients via the nutrition-wide association approach. METHODS This hospital-based study utilized data of 115 CRC patients who underwent CRC surgery in Department of Surgery, Seoul National University Hospital. Spearman correlation analyses were conducted for 216 dietary features and three alpha-diversity indices, Firmicutes/Bacteroidetes ratio, and relative abundance of 439 gut microbial taxonomy. To identify main enterotypes of the gut microbiota, we performed the principal coordinate analysis based on the β-diversity index. Finally, we performed linear regression to examine the association between dietary intake and main microbiome features, and linear discriminant analysis effect size (LEfSe) to identify bacterial taxa phylogenetically enriched in the low and high diet consumption groups. RESULTS Several bacteria were enriched in patients with higher consumption of mature pumpkin/pumpkin juice (ρ, 0.31 to 0.41) but lower intake of eggs (ρ, -0.32 to -0.26). We observed negative correlations between Bacteroides fragilis abundance and intake of pork (belly), beef soup with vegetables, animal fat, and fatty acids (ρ, -0.34 to -0.27); an inverse correlation was also observed between Clostridium symbiosum abundance and intake of some fatty acids, amines, and amino acids (ρ, -0.30 to -0.24). Furthermore, high intake of seaweed was associated with a 6% (95% CI, 2% to 11%) and 7% (95% CI, 2% to 11%) lower abundance of Rikenellaceae and Alistipes, respectively, whereas overall beverage consumption was associated with an 10% (95% CI, 2% to 18%) higher abundance of Bacteroidetes, Bacteroidia, and Bacteroidales, compared to that in the low intake group. LEfSe analysis identified phylogenetically enriched taxa associated with the intake of sugars and sweets, legumes, mushrooms, eggs, oils and fats, plant fat, carbohydrates, and monounsaturated fatty acids. CONCLUSIONS Our data elucidates the diet-microbe interactions in CRC patients. Additional research is needed to understand the significance of these results in CRC prognosis.
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Affiliation(s)
- Tung Hoang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 03080, South Korea.,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Min Jung Kim
- Department of Surgery, Seoul National University College of Medicine, Seoul, 03080, South Korea.
| | - Ji Won Park
- Department of Surgery, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Seung-Yong Jeong
- Department of Surgery, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Jeeyoo Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 03080, South Korea. .,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, 03080, South Korea. .,Cancer Research Institute, Seoul National University, Seoul, 03080, South Korea.
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Hoang T, Ichinose K, Morimoto S, Furukawa K, Le L, Kawakami A. POS0746 MEASUREMENT OF ANTI-SUPRABASIN ANTIBODIES, MULTIPLE CYTOKINES AND CHEMOKINES AS POTENTIAL PREDICTIVE BIOMARKERS FOR NEUROPSYCHIATRIC SYSTEMIC LUPUS ERYTHEMATOSUS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundThe pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) is multifactorial and involves diverse cytokines, autoantibodies and immune complexes inducing blood-brain barrier (BBB) dysfunction, neuroendocrine-immune imbalance, vascular occlusion, tissue, and neuronal damage. Several pro-inflammatory cytokines have been implicated in the pathogenesis of NPSLE [1]. Previously we have shown that the titer of anti-suprabasin (SBSN) antibodies in cerebrospinal fluid (CSF) of NPSLE patients was significantly higher than in SLE, MS and NPH groups [2]. However, distinguishing NPSLE from other neuropsychiatric conditions with different etiologies is challenging.ObjectivesThis study determined the most critical serum biomarkers for the development of NPSLE as they may have clinical utility prior to the onset of neuropsychiatric symptoms.MethodsWe retrospectively analyzed 35 NPSLE patients, 34 SLE patients, 20 viral meningitis (VM) patients, and 16 relapsing-remitting multiple sclerosis (MS) patients. We measured anti-SBSN antibodies concentrations in serum by using Luciferase immunoprecipitation system (LIPS) assay. The serum concentrations of cytokines/chemokines were measured by using multiplex bead-based assay. All the clinical information and laboratory tests were collected at the time of admission.ResultsThe Bayesian posterior mean and 95% HPDI of the cut-off of AI and its PPV and 1-NPV values were 5.26 (3.68;7.17), 0.87, (0.72; 1.0) and 0.44, (0.36; 0.5), respectively (Figure 1).Figure 1.Summary of the posterior distribution of the cutoff of AI and its predictive value (1-NPV and PPV). The 95% HPDI is shown as the thick black horizontal line with the boundaries written above the lineAmong analyzed biomarkers, VEGF had the highest sparsity-oriented important learning (SOIL) importance, followed by AI, sCD40L, IL-10, GRO, MDC, IL-8, IL-9, TNFα, MIP-1α (Figure 2).Figure 2.Top 10 biomarkers having highest SOIL importance in prediction of NPSLE.Abbreviations• AI: anti-SBSN antibody index• PPV: positive predictive• NPV: negative predictive value• SOIL: sparsity-oriented important learning• IL: interleukin•MIP: macrophage inflammatory protein• sCD40L: soluble CD40 ligand• MDC: macrophage-derived chemokine• VEGF: vascular endothelial growth factor• MDC: macrophage-derived chemokine• TNF: Tumor necrosis factorConclusionOur data demonstrated the ranking of serum biomarkers for the prediction of NPSLE. The most essential biomarkers are VEGF, anti-SBSN antibodies, sCD40L, IL-10, GRO, MDC, IL-8, IL-9, TNFα, MIP-1α.References[1]Govoni M, Hanly JG: Rheumatology (Oxford), 2020: 59(Suppl5):v52-v62.[2]Ichinose K, et al: Clinical immunology, 2018; 193:123-130.Disclosure of InterestsNone declared
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Hoang T, Lee EK, Lee J, Hwangbo Y, Kim J. Seaweed and Iodine Intakes and SLC5A5 rs77277498 in Relation to Thyroid Cancer. Endocrinol Metab (Seoul) 2022; 37:513-523. [PMID: 35607818 PMCID: PMC9262681 DOI: 10.3803/enm.2021.1306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/14/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGRUOUND This study aims to elucidate the associations among dietary seaweed (gim and miyeok/dashima) and iodine intakes, the rs77277498 polymorphism of the SLC5A5 gene codifying the sodium/iodine symporter, and thyroid cancer risk in a Korean population. METHODS We conducted a case-control study of 117 thyroid cancer cases and 173 controls who participated in the Cancer Screenee Cohort between 2002 and 2014 at the National Cancer Center, Korea. The amount of seaweed and iodine consumption (g/day) was estimated using the residual energy adjustment method. We calculated odds ratios (ORs) and their 95% confidence intervals (CIs) using a multivariable logistic regression model for the separate and combined effect of dietary iodine-based intake and SLC5A5 polymorphism (rs77277498, C>G) on thyroid cancer. RESULTS Dietary gim and iodine intakes were inversely associated with thyroid cancer, with ORs of 0.50 (95% CI, 0.30 to 0.83) and 0.57 (95% CI, 0.35 to 0.95), respectively, whereas the associations for dietary miyeok/dashima and total seaweed intakes were not significant. However, compared with individuals carrying the C/C genotype of the rs77277498 polymorphism with a low intake of all dietary factors, those carrying the G allele with a high intake had a lower risk of thyroid cancer, with ORs of 0.25 (95% CI, 0.10 to 0.56), 0.31 (95% CI, 0.12 to 0.77), 0.26 (95% CI, 0.10 to 0.62), and 0.30 (95% CI, 0.12 to 0.73) for the consumption of gim, miyeok/dashima, total seaweed, and iodine, respectively. CONCLUSION In summary, our results supported the evidence of the protective effects of dietary gim and iodine intake against thyroid cancer risk, and this association can be strengthened by SLC5A5 rs77277498 genotypes.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Eun Kyung Lee
- Center for Thyroid Cancer, National Cancer Center, Goyang, Korea
| | - Jeonghee Lee
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Yul Hwangbo
- Center for Thyroid Cancer, National Cancer Center, Goyang, Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
- Corresponding author: Jeongseon Kim Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea Tel: +82-31-920-2570, Fax: +82-31-920-2579, E-mail:
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Arslan S, Liu H, silverman M, Bejanyan N, McCallum R, Quintero S, Garrett G, Wang K, Smith E, Hoang T, Shahim T, Crisostomo J, Wilga-Savitski A, Pickering J, Angelo L, Smith A, Vera J, Koneru M. Immunotherapy: ZEDENOLEUCEL (MT-401, MUTLI-TUMOR ASSOCIATED ANTIGEN-SPECIFIC T CELLS) UTILIZED FOR TREATMENT FOR MRD+ AML PATIENTS. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00314-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Shahim T, Smith A, Crisostomo J, Pickering J, Wilga-Savitski A, Abedin T, Ludwig J, Hoang T, Vera J. Process Development and Manufacturing: AUTOMATING CLOSED SYSTEM PURIFICATION OF WHITE BLOOD CELLS FOR T CELL THERAPY MANUFACTURING. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00460-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Smith A, Shahim T, Crisostomo J, Smith E, Wilga-Savitski A, Pickering J, Hoang T, Vera J. Process Development and Manufacturing: RAPID AND SIMPLIFIED PROCESS FOR MANUFACTURING MULTI-TUMOR-ASSOCIATED ANTIGEN SPECIFIC T CELLS. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00459-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Hoang T, Sohn DK, Kim BC, Cha Y, Kim J. Efficacy and Safety of Systemic Treatments Among Colorectal Cancer Patients: A Network Meta-Analysis of Randomized Controlled Trials. Front Oncol 2022; 11:756214. [PMID: 35223449 PMCID: PMC8864322 DOI: 10.3389/fonc.2021.756214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 12/31/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Systemic treatments, namely, either monotherapy or combination therapy, are commonly administered to patients with advanced or metastatic colorectal cancer (CRC). This study aimed to provide the complete efficacy and safety profiles and ranking of systemic therapies for the treatment of unresectable advanced or metastatic CRC. METHODS We searched PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov from inception until June 30, 2021, and also the bibliographies of relevant studies. Randomized controlled trials comparing two or more treatments, namely, at least capecitabine, 5-fluorouracil, leucovorin, irinotecan, bevacizumab, cetuximab, oxaliplatin, or panitumumab were investigated. A network meta-analysis using the Bayesian approach was performed to compare the efficacy and safety of treatments. The surface under the cumulative ranking curve (SUCRA) was calculated for the probability of each treatment as the most effective. The overall response rate (ORR), disease control rate (DCR), overall survival (OS), progression-free survival (PFS), adverse events (AEs) grade ≥3, and serious adverse events (SAEs) were evaluated. RESULTS One hundred two publications with 36,147 participants were assigned to 39 different treatments. Among 11 treatments with full information on six outcomes, FOLFIRI/FOLFOX/FOLFOXIRI + bevacizumab significantly improved both the ORR and DCR, compared to FOLFIRI. Although FOLFOX and FOLFIRI/FOLFOX + cetuximab significantly prolonged both OS and PFS, treatments were comparable in terms of AEs grade ≥3 and SAEs. The top highest SUCRA values were observed in the FOLFOXIRI + panitumumab group for ORR (96%) and DCR (99%), FOLFIRI + bevacizumab + panitumumab group for OS (62%) and PFS (54%), and FOLFOXIRI + bevacizumab group for AEs grade ≥3 (59%) and SAEs (59%) outcomes. CONCLUSIONS These findings suggest an available range of systemic treatment therapies with different efficacy and safety profiles with patients. Further investigations of the side effects and mutation status are required to confirm our findings. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero/, identifier CRD42019127772.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea
| | - Dae Kyung Sohn
- Center for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, South Korea
| | - Byung Chang Kim
- Center for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, South Korea
| | - Yongjun Cha
- Center for Colorectal Cancer, Research Institute and Hospital, National Cancer Center, Goyang, South Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea
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Abstract
Background: The prevalence of dyslipidemia among Korean women differs significantly according to menopausal status. This study aimed to identify major dietary patterns among Korean women and examine their associations with the prevalence of dyslipidemia and its components. Methods: This study recruited 6,166 women from the Cancer Screenee Cohort 2007–2019 from the National Cancer Center of Korea. Dietary patterns were identified using factor analysis. Multivariable logistic regression was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between dietary patterns and the prevalence of dyslipidemia and its components, including hypercholesterolemia, hypertriglyceridemia, hypo-high-density lipoprotein (HDL) cholesterol, and hyper-low-density lipoprotein (LDL) cholesterol. Stratification analyses were performed for the premenopausal and postmenopausal subgroups. Results: The factor analysis identified three main dietary patterns, including traditional, western, and prudent dietary patterns. Compared with those with the lowest pattern scores, those with the highest pattern scores of the traditional (OR = 1.32, 95% CI = 1.05–1.67) and western (OR = 1.40, 95% CI = 1.11–1.78) diets had a higher prevalence of hyper-LDL cholesterol. When accounting for menopausal status in the analysis, traditional (OR = 1.44, 95% CI = 1.10–1.89) and western (OR = 1.43, 95% CI = 1.09–1.88) diets were still associated with hyper-LDL cholesterol in postmenopausal women. Additionally, consumption of a traditional diet was associated with a decreased prevalence of hypertriglyceridemia (OR = 0.73, 95% CI = 0.54–0.99), and consumption of a western diet was associated with an increased prevalence of hypercholesterolemia (OR = 1.41, 95% CI = 1.11–1.79) but a reduced prevalence of hypo-HDL cholesterol (OR = 0.60, 95% CI = 0.36–0.99). However, the prudent dietary pattern was not significantly associated with dyslipidemia and its components in the group of all women or the subgroups according to menopausal status. Conclusion: There were significant associations between the traditional and western dietary patterns and hyper-LDL cholesterol in the entire group and postmenopausal subgroup of women. In the perspective of energy restriction, our findings recommend women not to eat either traditional or western diets excessively or too frequently. Menopause may induce the effect of both the traditional diet on triglyceride reduction and the western diet on increasing total cholesterol.
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Curran K, Congdon N, Hoang T, Tran H, Nguyen H, Nguyen Q, Lohfeld L, Van N, Peto T. Diagnostic test accuracy using digital retinal imaging in the detection of any diabetic retinopathy by graders in Vietnam, against a reference standard from the UK. Acta Ophthalmol 2022. [DOI: 10.1111/j.1755-3768.2022.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Katie Curran
- Centre for Public Health Queen's University Belfast Belfast UK
| | - Nathan Congdon
- Centre for Public Health Queen's University Belfast Belfast UK
- Orbis International New York NY USA
- Zhongshan Ophthalmic Centre Guangzhou China
| | - Tung Hoang
- Hanoi Medical University Hanoi Vietnam
- School of Medicine Save Sight Institute The University of Sydney Sydney NSW Australia
| | | | | | - Quan Nguyen
- Vitreo‐Retina Department Ho Chi Minh Eye Hospital Vietnam
| | - Lynne Lohfeld
- Centre for Public Health Queen's University Belfast Belfast UK
- Eye Hospital of Wenzhou Medical University Wenzhou China
| | | | - Tunde Peto
- Centre for Public Health Queen's University Belfast Belfast UK
- Ophthalmology Belfast Health and Social Care Trust Belfast UK
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Cho B, Rodriguez-Abreu D, Hussein M, Cobo M, Patel A, Secen N, Gerstner G, Kim DW, Lee YG, Su WC, Huang E, Patil N, Huang M, Zhang Z, Wen X, Mendus D, Hoang T, Meng R, Johnson M. LBA2 Updated analysis and patient-reported outcomes (PROs) from CITYSCAPE: A randomised, double-blind, phase II study of the anti-TIGIT antibody tiragolumab + atezolizumab (TA) versus placebo + atezolizumab (PA) as first-line treatment for PD-L1+ NSCLC. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.217] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Hoang T, Timilshina N, Jin R, Monginot S, Alibhai S. Implementation of recommendations from the Geriatric Oncology (GO) Clinic: A Retrospective Study at a single center. J Geriatr Oncol 2021. [DOI: 10.1016/s1879-4068(21)00437-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Van NTH, Hoang T, Myung SK. Night shift work and breast cancer risk: a meta-analysis of observational epidemiological studies. Carcinogenesis 2021; 42:1260-1269. [PMID: 34409980 DOI: 10.1093/carcin/bgab074] [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] [Received: 04/01/2021] [Revised: 07/28/2021] [Accepted: 08/17/2021] [Indexed: 12/09/2022] Open
Abstract
Previous observational epidemiological studies have reported inconsistently the association between night shift work (NSW) and the risk of breast cancer (BC). This study aimed to investigate those associations by using a meta-analysis of observational epidemiological studies. We searched PubMed and EMBASE using keywords related to this topic from inception till November 2020. The pooled effect sizes such as odds ratio (OR), hazard ratio (HR) or relative risk (RR) with 95% confidence interval (CI) were calculated using a random-effects model. In the meta-analysis of a total of 32 observational studies including 13 case-control studies, 4 nested case-control studies and 15 cohort studies, NSW significantly increased the risk of BC (OR/RR/HR, 1.11; 95% CI, 1.04-1.20; I2 = 72.4%). In the subgroup meta-analysis by type of study, NSW was also associated with the increased risk of BC in case-control studies (OR, 1.34; 95% CI, 1.17-1.53; I2 = 63.8%). However, no significant association was found in both nested case-control studies (OR, 1.14; 95% CI, 0.89-1.46; I2 = 65.8%) and cohort studies (RR/HR, 0.98; 95% CI, 0.93-1.03; I2 = 25.3%). Besides, there was no significant association between NSW for over 20 years and the risk of BC (OR/RR/HR, 1.03; 95% CI, 0.95-1.11; I2 = 36.6%, n = 14). Given that cohort studies provide higher evidence than case-control studies, there is no association between NSW and the risk of BC.
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Affiliation(s)
- Nhung Thi Hong Van
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 10408, Republic of Korea
| | - Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 10408, Republic of Korea
| | - Seung-Kwon Myung
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 10408, Republic of Korea.,Division of Cancer Epidemiology and Management, Research Institute, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 10408, Republic of Korea.,Department of Family Medicine and Center for Cancer Prevention and Detection, Hospital, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang, Gyeonggi-do 10408, Republic of Korea
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Park SH, Hoang T, Kim J. Dietary Factors and Breast Cancer Prognosis among Breast Cancer Survivors: A Systematic Review and Meta-Analysis of Cohort Studies. Cancers (Basel) 2021; 13:cancers13215329. [PMID: 34771493 PMCID: PMC8582373 DOI: 10.3390/cancers13215329] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary While most systematic reviews have focused on the association between dietary factors and breast cancer incidence, this current study focuses on the association between comprehensive dietary factors and breast cancer prognosis among breast cancer survivors by systematic review and meta-analysis. We reviewed a total of 63 cohort studies to assess the association between dietary factors and breast cancer prognosis by subgroup analysis with prediagnostic or postdiagnostic dietary intake, menopausal status, and dietary or supplementary micronutrient intake. We found that unhealthy dietary patterns, including the intake of beer and saturated fat, exacerbated the risk of breast cancer prognosis; however, the supplementation of most vitamins was desirable for breast cancer prognosis. Therefore, this study’s systematic review and meta-analysis provide useful dietary information for the development of dietary guidelines/recommendations to improve prognosis among breast cancer survivors. Abstract Few studies have summarized the association between dietary factors and breast cancer (BC) prognosis among breast cancer survivors (BCS). Therefore, we carried out a systematic review and meta-analysis to determine the associations between dietary factors and BC prognosis among BCS. We performed a literature search in PubMed and Embase to investigate the association between dietary factors and BC prognosis. We applied a random-effects model to compute the hazard ratio/relative risk and their 95% confidence intervals and heterogeneity (Higgins I2) and to generate forest plots using STATA. Among the 2279 papers identified, 63 cohort studies were included in the systematic review and meta-analysis. Our main finding was that higher consumption of beer and saturated fat negatively affected BC prognosis. However, the intake of lignans, fiber, multivitamins, and antioxidants was negatively associated with the risk of mortality. Furthermore, we performed subgroup analyses by menopausal status and dietary or supplementary micronutrient intake. Most trends were similar to the main findings; in particular, the vitamin C, vitamin D, and vitamin E supplements decreased the risk of mortality. This study’s current systematic review and meta-analysis provide comprehensive dietary information for the development of dietary guidelines/recommendations to improve prognosis among BCS.
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Affiliation(s)
- Sin-Hye Park
- Department of Food Science and Nutrition, Hallym University, Chuncheon 24252, Kangwon-do, Korea;
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang 10408, Gyeonggi-do, Korea;
| | - Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang 10408, Gyeonggi-do, Korea;
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang 10408, Gyeonggi-do, Korea;
- Correspondence:
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Wang J, Rigg EK, Lunavat TR, Zhou W, Feng Z, Hoang T, Bjerkvig R, Thorsen F. P16.08 Inhibition of melanoma brain metastasis by targeting miR-146a. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab180.199] [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
Melanoma has the highest propensity of any cancer to metastasize to the brain, with late-stage patients developing brain metastasis (MBM) in 40% of cases. Survival of patients with MBM is around 8 months with current therapies, illustrating the need for new treatments. MBM development is likely caused by molecular interactions between tumor cells and the brain, constituting the brain metastatic niche. miRNAs delivered by exosomes released from the primary tumor cells may play a role in niche establishment, yet the mechanisms are poorly understood. Here, the aim was to identify miRNAs released by exosomes from melanomas, which may be important in niche establishment and MBM progression.
MATERIAL AND METHODS
miRNAs in exosomes collected from human astrocytes, melanocytes, and MBM cell lines were profiled to determine differential expression. Functional in vitro validation was performed by cell growth and migration assays, cytokine arrays, qPCR and Western blots. Functional in vivo studies were performed after miR knockdown in MBM cell lines. An in silico docking study was performed to determine drugs that potentially inhibit transcription of miR-146a to impede MBM development.
RESULTS
miR-146a was the most upregulated miRNA in exosomes from MBM cells and was highly expressed in human and animal MBM samples. miR-146a mimics activated human astrocytes, shown by increased proliferation and migration, elevated expression of GFAP in vitro and in mouse brain tumor samples, and increased cytokine production. In animal studies, knockdown of miR-146 in MBM cells injected intracardially into mice reduced BM burden and increased animal survival. Based on the docking studies, deserpidine was found to be an effective inhibitor of MBM growth in vitro and in vivo.
CONCLUSION
miR-146a may play an important role in MBM development, and deserpidine is a promising candidate for clinical use.
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Affiliation(s)
- J Wang
- Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Key Laboratory of Brain Functional Remodelling, Shandong, Jinan, China
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - E K Rigg
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - T R Lunavat
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - W Zhou
- Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Key Laboratory of Brain Functional Remodelling, Shandong, Jinan, China
| | - Z Feng
- Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Key Laboratory of Brain Functional Remodelling, Shandong, Jinan, China
| | - T Hoang
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - R Bjerkvig
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - F Thorsen
- Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Key Laboratory of Brain Functional Remodelling, Shandong, Jinan, China
- Molecular Imaging Center, Department of Biomedicine, University of Bergen, Bergen, Norway
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Hoang T, Tran Thi Anh T. Comparison of Comorbidities in Relation to Critical Conditions among Coronavirus Disease 2019 Patients: A Network Meta-Analysis. Infect Chemother 2021; 53:13-28. [PMID: 34409779 PMCID: PMC8032911 DOI: 10.3947/ic.2020.0136] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 11/15/2020] [Accepted: 12/04/2020] [Indexed: 01/08/2023] Open
Abstract
Severe illness and poor outcome are mainly associated with aging or certain medical comorbidities, especially chronic diseases. However, factors for unfavorable prognosis have not been well described owing to relatively small sample sizes and single-center reports. Therefore, this study aimed to compare the contribution of comorbidities in the development of critical conditions in coronavirus disease 2019 (COVID-19) patients. Pooled estimates of relative risks (RRs) and their 95% confidence intervals (CIs) were calculated by conducting a meta-analysis and network meta-analysis of 18 studies. Chronic obstructive pulmonary disease (COPD) was most strongly associated with the overall critical condition (RR = 4.22, 95% CI = 3.12 - 5.69), followed by cardiovascular disease (CVD) (RR = 3.00, 95% CI = 2.41 - 3.73), malignancy (RR = 2.91, 95% CI = 2.16 - 3.91), cerebrovascular accident (CVA) (RR = 2.86, 95% CI = 1.95 - 4.19), diabetes (RR = 2.10, 95% CI = 2.16 - 3.91), hypertension (RR = 2.02, 95% CI = 1.82 - 2.23), and chronic kidney disease (RR = 2.00, 95% CI = 1.36 - 2.94). The presence of comorbidities except for chronic liver disease and chronic kidney disease significantly increased the risk of severe infection, intensive care unit (ICU) admission, and cardiac injury in the subgroup analysis by types of critical conditions. Preexisting hypertension and diabetes additionally increased the risk of acute respiratory distress syndrome (ARDS). Among comorbidities, COPD had the highest probability of leading to severe COVID-19, ICU admission, and liver injury, while malignancy was most likely to cause ARDS and cardiac injury. In summary, preexisting COPD, CVD, CVA, hypertension, diabetes, and malignancy are more likely to worsen the progression of COVID-19, with severe infection, ICU admission requirement, and cardiac injury development.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.
| | - Tho Tran Thi Anh
- Department of Gastroenterology and Hepatology, Nghe An Oncology Hospital, Nghe An, Vietnam
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Abazov VM, Abbott B, Acharya BS, Adams M, Adams T, Agnew JP, Alexeev GD, Alkhazov G, Alton A, Alves GA, Antchev G, Askew A, Aspell P, Assis Jesus ACS, Atanassov I, Atkins S, Augsten K, Aushev V, Aushev Y, Avati V, Avila C, Badaud F, Baechler J, Bagby L, Baldenegro Barrera C, Baldin B, Bandurin DV, Banerjee S, Barberis E, Baringer P, Barreto J, Bartlett JF, Bassler U, Bazterra V, Bean A, Begalli M, Bellantoni L, Berardi V, Beri SB, Bernardi G, Bernhard R, Berretti M, Bertram I, Besançon M, Beuselinck R, Bhat PC, Bhatia S, Bhatnagar V, Blazey G, Blessing S, Bloom K, Boehnlein A, Boline D, Boos EE, Borchsh V, Borissov G, Borysova M, Bossini E, Bottigli U, Bozzo M, Brandt A, Brandt O, Brochmann M, Brock R, Bross A, Brown D, Bu XB, Buehler M, Buescher V, Bunichev V, Burdin S, Burkhardt H, Buszello CP, Cafagna FS, Camacho-Pérez E, Carvalho W, Casey BCK, Castilla-Valdez H, Catanesi MG, Caughron S, Chakrabarti S, Chan KM, Chandra A, Chapon E, Chen G, Cho SW, Choi S, Choudhary B, Cihangir S, Claes D, Clutter J, Cooke M, Cooper WE, Corcoran M, Couderc F, Cousinou MC, Csanád M, Csörgő T, Cuth J, Cutts D, da Motta H, Das A, Davies G, Deile M, de Jong SJ, De La Cruz-Burelo E, De Leonardis F, Déliot F, Demina R, Denisov D, Denisov SP, De Oliveira Martins C, Desai S, Deterre C, DeVaughan K, Diehl HT, Diesburg M, Ding PF, Dominguez A, Doubek M, Drutskoy A, Druzhkin D, Dubey A, Dudko LV, Duperrin A, Dutt S, Eads M, Edmunds D, Eggert K, Ellison J, Elvira VD, Enari Y, Eremin V, Evans H, Evdokimov A, Evdokimov VN, Fauré A, Feng L, Ferbel T, Ferro F, Fiedler F, Fiergolski A, Filthaut F, Fisher W, Fisk HE, Forthomme L, Fortner M, Fox H, Franc J, Fuess S, Garbincius PH, Garcia F, Garcia-Bellido A, García-González JA, Gavrilov V, Geng W, Georgiev V, Gerber CE, Gershtein Y, Giani S, Ginther G, Gogota O, Golovanov G, Grannis PD, Greder S, Greenlee H, Grenier G, Gris P, Grivaz JF, Grohsjean A, Grünendahl S, Grünewald MW, Grzanka L, Guillemin T, Gutierrez G, Gutierrez P, Haley J, Hammerbauer J, Han L, Harder K, Harel A, Hauptman JM, Hays J, Head T, Hebbeker T, Hedin D, Hegab H, Heinson AP, Heintz U, Hensel C, Heredia-De La Cruz I, Herner K, Hesketh G, Hildreth MD, Hirosky R, Hoang T, Hobbs JD, Hoeneisen B, Hogan J, Hohlfeld M, Holzbauer JL, Howley I, Hubacek Z, Hynek V, Iashvili I, Ilchenko Y, Illingworth R, Isidori T, Ito AS, Ivanchenko V, Jabeen S, Jaffré M, Janda M, Jayasinghe A, Jeong MS, Jesik R, Jiang P, Johns K, Johnson E, Johnson M, Jonckheere A, Jonsson P, Joshi J, Jung AW, Juste A, Kajfasz E, Karev A, Karmanov D, Kašpar J, Katsanos I, Kaur M, Kaynak B, Kehoe R, Kermiche S, Khalatyan N, Khanov A, Kharchilava A, Kharzheev YN, Kiselevich I, Kohli JM, Kopal J, Kozelov AV, Kraus J, Kumar A, Kundrát V, Kupco A, Kurča T, Kuzmin VA, Lami S, Lammers S, Latino G, Lebrun P, Lee HS, Lee SW, Lee WM, Le X, Lellouch J, Li D, Li H, Li L, Li QZ, Lim JK, Lincoln D, Lindsey C, Linhart R, Linnemann J, Lipaev VV, Lipton R, Liu H, Liu Y, Lobodenko A, Lokajicek M, Lokajíček MV, Lopes de Sa R, Losurdo L, Lucas Rodríguez F, Luna-Garcia R, Lyon AL, Maciel AKA, Macrí M, Madar R, Magaña-Villalba R, Malawski M, Malbouisson HB, Malik S, Malyshev VL, Mansour J, Martínez-Ortega J, McCarthy R, McGivern CL, Meijer MM, Melnitchouk A, Menezes D, Mercadante PG, Merkin M, Meyer A, Meyer J, Miconi F, Minafra N, Minutoli S, Molina J, Mondal NK, Mulhearn M, Mundim L, Naaranoja T, Nagy E, Narain M, Nayyar R, Neal HA, Negret JP, Nemes F, Neustroev P, Nguyen HT, Niewiadomski H, Novák T, Nunnemann T, Oguri V, Oliveri E, Oljemark F, Orduna J, Oriunno M, Osman N, Österberg K, Pal A, Palazzi P, Parashar N, Parihar V, Park SK, Partridge R, Parua N, Pasechnik R, Passaro V, Patwa A, Penning B, Perfilov M, Peroutka Z, Peters Y, Petridis K, Petrillo G, Pétroff P, Pleier MA, Podstavkov VM, Popov AV, Prado da Silva WL, Prewitt M, Price D, Procházka J, Prokopenko N, Qian J, Quadt A, Quinn B, Quinto M, Raben TG, Radermacher E, Radicioni E, Rangel M, Ratoff PN, Ravotti F, Razumov I, Ripp-Baudot I, Rizatdinova F, Robutti E, Rodrigues RF, Rominsky M, Ross A, Royon C, Rubinov P, Ruchti R, Ruggiero G, Saarikko H, Sajot G, Samoylenko VD, Sánchez-Hernández A, Sanders MP, Santoro A, Santos AS, Savage G, Savitskyi M, Sawyer L, Scanlon T, Schamberger RD, Scheglov Y, Schellman H, Schott M, Schwanenberger C, Schwienhorst R, Scribano A, Sekaric J, Severini H, Shabalina E, Shary V, Shaw S, Shchukin AA, Shkola O, Simak V, Siroky J, Skubic P, Slattery P, Smajek J, Snoeys W, Snow GR, Snow J, Snyder S, Söldner-Rembold S, Sonnenschein L, Soustruznik K, Stark J, Stefaniuk N, Stefanovitch R, Ster A, Stoyanova DA, Strauss M, Suter L, Svoisky P, Szanyi I, Sziklai J, Taylor C, Tcherniaev E, Titov M, Tokmenin VV, Tsai YT, Tsybychev D, Tuchming B, Tully C, Turini N, Urban O, Uvarov L, Uvarov S, Uzunyan S, Vacek V, Van Kooten R, van Leeuwen WM, Varelas N, Varnes EW, Vasilyev IA, Vavroch O, Verkheev AY, Vertogradov LS, Verzocchi M, Vesterinen M, Vilanova D, Vokac P, Wahl HD, Wang C, Wang MHLS, Warchol J, Watts G, Wayne M, Weichert J, Welti J, Welty-Rieger L, Williams J, Williams MRJ, Wilson GW, Wobisch M, Wood DR, Wyatt TR, Xie Y, Yamada R, Yang S, Yasuda T, Yatsunenko YA, Ye W, Ye Z, Yin H, Yip K, Youn SW, Yu JM, Zennamo J, Zhao TG, Zhou B, Zhu J, Zich J, Zielinski K, Zielinski M, Zieminska D, Zivkovic L. Odderon Exchange from Elastic Scattering Differences between pp and pp[over ¯] Data at 1.96 TeV and from pp Forward Scattering Measurements. Phys Rev Lett 2021; 127:062003. [PMID: 34420329 DOI: 10.1103/physrevlett.127.062003] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/19/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
We describe an analysis comparing the pp[over ¯] elastic cross section as measured by the D0 Collaboration at a center-of-mass energy of 1.96 TeV to that in pp collisions as measured by the TOTEM Collaboration at 2.76, 7, 8, and 13 TeV using a model-independent approach. The TOTEM cross sections, extrapolated to a center-of-mass energy of sqrt[s]=1.96 TeV, are compared with the D0 measurement in the region of the diffractive minimum and the second maximum of the pp cross section. The two data sets disagree at the 3.4σ level and thus provide evidence for the t-channel exchange of a colorless, C-odd gluonic compound, also known as the odderon. We combine these results with a TOTEM analysis of the same C-odd exchange based on the total cross section and the ratio of the real to imaginary parts of the forward elastic strong interaction scattering amplitude in pp scattering for which the significance is between 3.4σ and 4.6σ. The combined significance is larger than 5σ and is interpreted as the first observation of the exchange of a colorless, C-odd gluonic compound.
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Affiliation(s)
- V M Abazov
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - B Abbott
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - B S Acharya
- Tata Institute of Fundamental Research, Mumbai-400 005, India
| | - M Adams
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - T Adams
- Florida State University, Tallahassee, Florida 32306, USA
| | - J P Agnew
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G D Alexeev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - G Alkhazov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - A Alton
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - G A Alves
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - G Antchev
- INRNE-BAS, Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria
| | - A Askew
- Florida State University, Tallahassee, Florida 32306, USA
| | - P Aspell
- CERN, 1211 Geneva 23, Switzerland
| | - A C S Assis Jesus
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - I Atanassov
- INRNE-BAS, Institute for Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, 1784 Sofia, Bulgaria
| | - S Atkins
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - K Augsten
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - V Aushev
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - Y Aushev
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - V Avati
- AGH University of Science and Technology, 30-059 Krakow, Poland
- CERN, 1211 Geneva 23, Switzerland
| | - C Avila
- Universidad de los Andes, Bogotá 111711, Colombia
| | - F Badaud
- LPC, Université Blaise Pascal, CNRS/IN2P3, Clermont, F-63178 Aubière Cedex, France
| | | | - L Bagby
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - B Baldin
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D V Bandurin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Banerjee
- Tata Institute of Fundamental Research, Mumbai-400 005, India
| | - E Barberis
- Northeastern University, Boston, Massachusetts 02115, USA
| | - P Baringer
- University of Kansas, Lawrence, Kansas 66045, USA
| | - J Barreto
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - J F Bartlett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - U Bassler
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - V Bazterra
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - A Bean
- University of Kansas, Lawrence, Kansas 66045, USA
| | - M Begalli
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - L Bellantoni
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Berardi
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento Interateneo di Fisica di Bari, 70126 Bari, Italy
| | - S B Beri
- Panjab University, Chandigarh 160014, India
| | - G Bernardi
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - R Bernhard
- Physikalisches Institut, Universität Freiburg, 79085 Freiburg, Germany
| | - M Berretti
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - I Bertram
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - M Besançon
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - R Beuselinck
- Imperial College London, London SW7 2AZ, United Kingdom
| | - P C Bhat
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Bhatia
- University of Mississippi, University, Mississippi 38677, USA
| | | | - G Blazey
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - S Blessing
- Florida State University, Tallahassee, Florida 32306, USA
| | - K Bloom
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - A Boehnlein
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Boline
- State University of New York, Stony Brook, New York 11794, USA
| | - E E Boos
- Moscow State University, Moscow 119991, Russia
| | - V Borchsh
- Tomsk State University, Tomsk 634050, Russia
| | - G Borissov
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - M Borysova
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - E Bossini
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
- CERN, 1211 Geneva 23, Switzerland
| | - U Bottigli
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | - M Bozzo
- INFN Sezione di Genova, 16146 Genova, Italy
- Università degli Studi di Genova, 16146 Genova, Italy
| | - A Brandt
- University of Texas, Arlington, Texas 76019, USA
| | - O Brandt
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - M Brochmann
- University of Washington, Seattle, Washington 98195, USA
| | - R Brock
- Michigan State University, East Lansing, Michigan 48824, USA
| | - A Bross
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Brown
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - X B Bu
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Buehler
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Buescher
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - V Bunichev
- Moscow State University, Moscow 119991, Russia
| | - S Burdin
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | | | | | | | | | - W Carvalho
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | | | - S Caughron
- Michigan State University, East Lansing, Michigan 48824, USA
| | - S Chakrabarti
- State University of New York, Stony Brook, New York 11794, USA
| | - K M Chan
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - A Chandra
- Rice University, Houston, Texas 77005, USA
| | - E Chapon
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - G Chen
- University of Kansas, Lawrence, Kansas 66045, USA
| | - S W Cho
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - S Choi
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | | | - S Cihangir
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Claes
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - J Clutter
- University of Kansas, Lawrence, Kansas 66045, USA
| | - M Cooke
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - W E Cooper
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Corcoran
- Rice University, Houston, Texas 77005, USA
| | - F Couderc
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - M-C Cousinou
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - M Csanád
- Eötvös University, 1117 Budapest, Pázmány P. sétány 1/A, Hungary
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - T Csörgő
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
- MATE Institute of Technology KRC, 3200 Gyöngyös, Hungary
| | - J Cuth
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - D Cutts
- Brown University, Providence, Rhode Island 02912, USA
| | - H da Motta
- Southern Methodist University, Dallas, Texas 75275, USA
| | - A Das
- Southern Methodist University, Dallas, Texas 75275, USA
| | - G Davies
- Imperial College London, London SW7 2AZ, United Kingdom
| | - M Deile
- CERN, 1211 Geneva 23, Switzerland
| | - S J de Jong
- Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- Radboud University Nijmegen, 6525 AJ Nijmegen, Netherlands
| | | | - F De Leonardis
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento di Ingegneria Elettrica e dell'Informazione-Politecnico di Bari, 70125 Bari, Italy
| | - F Déliot
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - R Demina
- University of Rochester, Rochester, New York 14627, USA
| | - D Denisov
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S P Denisov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | | | - S Desai
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C Deterre
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - K DeVaughan
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - H T Diehl
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Diesburg
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P F Ding
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Dominguez
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - M Doubek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - A Drutskoy
- Institute for Theoretical and Experimental Physics, Moscow 117259, Russia
| | - D Druzhkin
- Tomsk State University, Tomsk 634050, Russia
- CERN, 1211 Geneva 23, Switzerland
| | - A Dubey
- Delhi University, Delhi-110 007, India
| | - L V Dudko
- Moscow State University, Moscow 119991, Russia
| | - A Duperrin
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - S Dutt
- Panjab University, Chandigarh 160014, India
| | - M Eads
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - D Edmunds
- Michigan State University, East Lansing, Michigan 48824, USA
| | - K Eggert
- Case Western Reserve University, Department of Physics, Cleveland, Ohio 44106, USA
| | - J Ellison
- University of California Riverside, Riverside, California 92521, USA
| | - V D Elvira
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Y Enari
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - V Eremin
- Ioffe Physical-Technical Institute of Russian Academy of Sciences, St. Petersburg 194021, Russian Federation
| | - H Evans
- Indiana University, Bloomington, Indiana 47405, USA
| | - A Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - V N Evdokimov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - A Fauré
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - L Feng
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - T Ferbel
- University of Rochester, Rochester, New York 14627, USA
| | - F Ferro
- INFN Sezione di Genova, 16146 Genova, Italy
| | - F Fiedler
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | | | - F Filthaut
- Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- Radboud University Nijmegen, 6525 AJ Nijmegen, Netherlands
| | - W Fisher
- Michigan State University, East Lansing, Michigan 48824, USA
| | - H E Fisk
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Forthomme
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - M Fortner
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - H Fox
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - J Franc
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - S Fuess
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P H Garbincius
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F Garcia
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
| | | | | | - V Gavrilov
- Institute for Theoretical and Experimental Physics, Moscow 117259, Russia
| | - W Geng
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
- Michigan State University, East Lansing, Michigan 48824, USA
| | - V Georgiev
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - C E Gerber
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Y Gershtein
- Rutgers University, Piscataway, New Jersey 08855, USA
| | - S Giani
- CERN, 1211 Geneva 23, Switzerland
| | - G Ginther
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - O Gogota
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - G Golovanov
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - P D Grannis
- State University of New York, Stony Brook, New York 11794, USA
| | - S Greder
- IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France
| | - H Greenlee
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Grenier
- IPNL, Université Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne Cedex, France and Université de Lyon, F-69361 Lyon CEDEX 07, France
| | - Ph Gris
- LPC, Université Blaise Pascal, CNRS/IN2P3, Clermont, F-63178 Aubière Cedex, France
| | - J-F Grivaz
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - A Grohsjean
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - S Grünendahl
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - L Grzanka
- AGH University of Science and Technology, 30-059 Krakow, Poland
| | - T Guillemin
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - G Gutierrez
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Gutierrez
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - J Haley
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - J Hammerbauer
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - L Han
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Harder
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Harel
- University of Rochester, Rochester, New York 14627, USA
| | | | - J Hays
- Imperial College London, London SW7 2AZ, United Kingdom
| | - T Head
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - T Hebbeker
- III. Physikalisches Institut A, RWTH Aachen University, 52056 Aachen, Germany
| | - D Hedin
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - H Hegab
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - A P Heinson
- University of California Riverside, Riverside, California 92521, USA
| | - U Heintz
- Brown University, Providence, Rhode Island 02912, USA
| | - C Hensel
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | | | - K Herner
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Hesketh
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M D Hildreth
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - R Hirosky
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Hoang
- Florida State University, Tallahassee, Florida 32306, USA
| | - J D Hobbs
- State University of New York, Stony Brook, New York 11794, USA
| | - B Hoeneisen
- Universidad San Francisco de Quito, Quito 170157, Ecuador
| | - J Hogan
- Rice University, Houston, Texas 77005, USA
| | - M Hohlfeld
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - J L Holzbauer
- University of Mississippi, University, Mississippi 38677, USA
| | - I Howley
- University of Texas, Arlington, Texas 76019, USA
| | - Z Hubacek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - V Hynek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - I Iashvili
- State University of New York, Buffalo, New York 14260, USA
| | - Y Ilchenko
- Southern Methodist University, Dallas, Texas 75275, USA
| | - R Illingworth
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - T Isidori
- University of Kansas, Lawrence, Kansas 66045, USA
| | - A S Ito
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | | | - S Jabeen
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Jaffré
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - M Janda
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - A Jayasinghe
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - M S Jeong
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - R Jesik
- Imperial College London, London SW7 2AZ, United Kingdom
| | - P Jiang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Johns
- University of Arizona, Tucson, Arizona 85721, USA
| | - E Johnson
- Michigan State University, East Lansing, Michigan 48824, USA
| | - M Johnson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Jonckheere
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - P Jonsson
- Imperial College London, London SW7 2AZ, United Kingdom
| | - J Joshi
- University of California Riverside, Riverside, California 92521, USA
| | - A W Jung
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Juste
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Institut de Física d'Altes Energies (IFAE), 08193 Bellaterra (Barcelona), Spain
| | - E Kajfasz
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - A Karev
- CERN, 1211 Geneva 23, Switzerland
| | - D Karmanov
- Moscow State University, Moscow 119991, Russia
| | - J Kašpar
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
- CERN, 1211 Geneva 23, Switzerland
| | - I Katsanos
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - M Kaur
- Panjab University, Chandigarh 160014, India
| | - B Kaynak
- Istanbul University, 34134 Vezneciler, Istanbul, Turkey
| | - R Kehoe
- Southern Methodist University, Dallas, Texas 75275, USA
| | - S Kermiche
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - N Khalatyan
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Khanov
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - A Kharchilava
- State University of New York, Buffalo, New York 14260, USA
| | - Y N Kharzheev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - I Kiselevich
- Institute for Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J M Kohli
- Panjab University, Chandigarh 160014, India
| | - J Kopal
- CERN, 1211 Geneva 23, Switzerland
| | - A V Kozelov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - J Kraus
- University of Mississippi, University, Mississippi 38677, USA
| | - A Kumar
- State University of New York, Buffalo, New York 14260, USA
| | - V Kundrát
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - A Kupco
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - T Kurča
- IPNL, Université Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne Cedex, France and Université de Lyon, F-69361 Lyon CEDEX 07, France
| | - V A Kuzmin
- Moscow State University, Moscow 119991, Russia
| | - S Lami
- INFN Sezione di Pisa, 56127 Pisa, Italy
| | - S Lammers
- Indiana University, Bloomington, Indiana 47405, USA
| | - G Latino
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | - P Lebrun
- IPNL, Université Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne Cedex, France and Université de Lyon, F-69361 Lyon CEDEX 07, France
| | - H S Lee
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - S W Lee
- Iowa State University, Ames, Iowa 50011, USA
| | - W M Lee
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - X Le
- University of Arizona, Tucson, Arizona 85721, USA
| | - J Lellouch
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - D Li
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
| | - H Li
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Li
- University of California Riverside, Riverside, California 92521, USA
| | - Q Z Li
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J K Lim
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - D Lincoln
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C Lindsey
- University of Kansas, Lawrence, Kansas 66045, USA
| | - R Linhart
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - J Linnemann
- Michigan State University, East Lansing, Michigan 48824, USA
| | - V V Lipaev
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - R Lipton
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Liu
- Southern Methodist University, Dallas, Texas 75275, USA
| | - Y Liu
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Lobodenko
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - M Lokajicek
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - M V Lokajíček
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - R Lopes de Sa
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - L Losurdo
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | | | | | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A K A Maciel
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - M Macrí
- INFN Sezione di Genova, 16146 Genova, Italy
| | - R Madar
- Physikalisches Institut, Universität Freiburg, 79085 Freiburg, Germany
| | | | - M Malawski
- AGH University of Science and Technology, 30-059 Krakow, Poland
| | - H B Malbouisson
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - S Malik
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - V L Malyshev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - J Mansour
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | | | - R McCarthy
- State University of New York, Stony Brook, New York 11794, USA
| | - C L McGivern
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - M M Meijer
- Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- Radboud University Nijmegen, 6525 AJ Nijmegen, Netherlands
| | - A Melnitchouk
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Menezes
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - P G Mercadante
- Universidade Federal do ABC, Santo André, SP 09210, Brazil
| | - M Merkin
- Moscow State University, Moscow 119991, Russia
| | - A Meyer
- III. Physikalisches Institut A, RWTH Aachen University, 52056 Aachen, Germany
| | - J Meyer
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - F Miconi
- IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France
| | - N Minafra
- University of Kansas, Lawrence, Kansas 66045, USA
| | - S Minutoli
- INFN Sezione di Genova, 16146 Genova, Italy
| | - J Molina
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - N K Mondal
- Tata Institute of Fundamental Research, Mumbai-400 005, India
| | - M Mulhearn
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - L Mundim
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - T Naaranoja
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - E Nagy
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - M Narain
- Brown University, Providence, Rhode Island 02912, USA
| | - R Nayyar
- University of Arizona, Tucson, Arizona 85721, USA
| | - H A Neal
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J P Negret
- Universidad de los Andes, Bogotá 111711, Colombia
| | - F Nemes
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
- CERN, 1211 Geneva 23, Switzerland
| | - P Neustroev
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - H T Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Niewiadomski
- Case Western Reserve University, Department of Physics, Cleveland, Ohio 44106, USA
| | - T Novák
- MATE Institute of Technology KRC, 3200 Gyöngyös, Hungary
| | - T Nunnemann
- Ludwig-Maximilians-Universität München, 80539 München, Germany
| | - V Oguri
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | | | - F Oljemark
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - J Orduna
- Brown University, Providence, Rhode Island 02912, USA
| | - M Oriunno
- SLAC National Accelerator Laboratory, Stanford, California 94025, USA
| | - N Osman
- CPPM, Aix-Marseille Université, CNRS/IN2P3, F-13288 Marseille Cedex 09, France
| | - K Österberg
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - A Pal
- University of Texas, Arlington, Texas 76019, USA
| | | | - N Parashar
- Purdue University Calumet, Hammond, Indiana 46323, USA
| | - V Parihar
- Brown University, Providence, Rhode Island 02912, USA
| | - S K Park
- Korea Detector Laboratory, Korea University, Seoul 02841, Korea
| | - R Partridge
- Brown University, Providence, Rhode Island 02912, USA
| | - N Parua
- Indiana University, Bloomington, Indiana 47405, USA
| | - R Pasechnik
- Department of Astronomy and Theoretical Physics, Lund University, SE-223 62 Lund, Sweden
| | - V Passaro
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento di Ingegneria Elettrica e dell'Informazione-Politecnico di Bari, 70125 Bari, Italy
| | - A Patwa
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B Penning
- Imperial College London, London SW7 2AZ, United Kingdom
| | - M Perfilov
- Moscow State University, Moscow 119991, Russia
| | - Z Peroutka
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - Y Peters
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - K Petridis
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - G Petrillo
- University of Rochester, Rochester, New York 14627, USA
| | - P Pétroff
- LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, F-91898 Orsay Cedex, France
| | - M-A Pleier
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - V M Podstavkov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A V Popov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - W L Prado da Silva
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - M Prewitt
- Rice University, Houston, Texas 77005, USA
| | - D Price
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Procházka
- Institute of Physics, Academy of Sciences of the Czech Republic, 182 21 Prague, Czech Republic
| | - N Prokopenko
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - J Qian
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A Quadt
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - B Quinn
- University of Mississippi, University, Mississippi 38677, USA
| | - M Quinto
- INFN Sezione di Bari, 70126 Bari, Italy
- Dipartimento Interateneo di Fisica di Bari, 70126 Bari, Italy
| | - T G Raben
- University of Kansas, Lawrence, Kansas 66045, USA
| | | | | | - M Rangel
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - P N Ratoff
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | | | - I Razumov
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - I Ripp-Baudot
- IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France
| | - F Rizatdinova
- Oklahoma State University, Stillwater, Oklahoma 74078, USA
| | - E Robutti
- INFN Sezione di Genova, 16146 Genova, Italy
| | - R F Rodrigues
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - M Rominsky
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Ross
- Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - C Royon
- University of Kansas, Lawrence, Kansas 66045, USA
| | - P Rubinov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Ruchti
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | | | - H Saarikko
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | - G Sajot
- LPSC, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut National Polytechnique de Grenoble, F-38026 Grenoble Cedex, France
| | - V D Samoylenko
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | | | - M P Sanders
- Ludwig-Maximilians-Universität München, 80539 München, Germany
| | - A Santoro
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20550, Brazil
| | - A S Santos
- LAFEX, Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290, Brazil
| | - G Savage
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Savitskyi
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - L Sawyer
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - T Scanlon
- Imperial College London, London SW7 2AZ, United Kingdom
| | - R D Schamberger
- State University of New York, Stony Brook, New York 11794, USA
| | - Y Scheglov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - H Schellman
- Northwestern University, Evanston, Illinois 60208, USA
- Oregon State University, Corvallis, Oregon 97331, USA
| | - M Schott
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - C Schwanenberger
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Schwienhorst
- Michigan State University, East Lansing, Michigan 48824, USA
| | | | - J Sekaric
- University of Kansas, Lawrence, Kansas 66045, USA
| | - H Severini
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - E Shabalina
- II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
| | - V Shary
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - S Shaw
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A A Shchukin
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - O Shkola
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | - V Simak
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - J Siroky
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - P Skubic
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - P Slattery
- University of Rochester, Rochester, New York 14627, USA
| | - J Smajek
- CERN, 1211 Geneva 23, Switzerland
| | - W Snoeys
- CERN, 1211 Geneva 23, Switzerland
| | - G R Snow
- University of Nebraska, Lincoln, Nebraska 68588, USA
| | - J Snow
- Langston University, Langston, Oklahoma 73050, USA
| | - S Snyder
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | | | - L Sonnenschein
- III. Physikalisches Institut A, RWTH Aachen University, 52056 Aachen, Germany
| | - K Soustruznik
- Charles University, Faculty of Mathematics and Physics, Center for Particle Physics, 116 36 Prague 1, Czech Republic
| | - J Stark
- LPSC, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut National Polytechnique de Grenoble, F-38026 Grenoble Cedex, France
| | - N Stefaniuk
- Taras Shevchenko National University of Kyiv, Kiev 01601, Ukraine
| | | | - A Ster
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - D A Stoyanova
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - M Strauss
- University of Oklahoma, Norman, Oklahoma 73019, USA
| | - L Suter
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Svoisky
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - I Szanyi
- Eötvös University, 1117 Budapest, Pázmány P. sétány 1/A, Hungary
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - J Sziklai
- Wigner Research Centre for Physics, RMI, 1121 Budapest, Hungary
| | - C Taylor
- Case Western Reserve University, Department of Physics, Cleveland, Ohio 44106, USA
| | | | - M Titov
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - V V Tokmenin
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - Y-T Tsai
- University of Rochester, Rochester, New York 14627, USA
| | - D Tsybychev
- State University of New York, Stony Brook, New York 11794, USA
| | - B Tuchming
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - C Tully
- Princeton University, Princeton, New Jersey 08544, USA
| | - N Turini
- Università degli Studi di Siena and Gruppo Collegato INFN di Siena, 53100 Siena, Italy
| | - O Urban
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - L Uvarov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - S Uvarov
- Petersburg Nuclear Physics Institute, St. Petersburg 188300, Russia
| | - S Uzunyan
- Northern Illinois University, DeKalb, Illinois 60115, USA
| | - V Vacek
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - R Van Kooten
- Indiana University, Bloomington, Indiana 47405, USA
| | | | - N Varelas
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - E W Varnes
- University of Arizona, Tucson, Arizona 85721, USA
| | - I A Vasilyev
- Institute for High Energy Physics, Protvino, Moscow region 142281, Russia
| | - O Vavroch
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - A Y Verkheev
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | | | - M Verzocchi
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M Vesterinen
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Vilanova
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-Sur-Yvette, France
| | - P Vokac
- Czech Technical University in Prague, 116 36 Prague 6, Czech Republic
| | - H D Wahl
- Florida State University, Tallahassee, Florida 32306, USA
| | - C Wang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M H L S Wang
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J Warchol
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - G Watts
- University of Washington, Seattle, Washington 98195, USA
| | - M Wayne
- University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - J Weichert
- Institut für Physik, Universität Mainz, 55099 Mainz, Germany
| | - J Welti
- Helsinki Institute of Physics, 00014 University of Helsinki, Helsinki, Finland
- Department of Physics, 00014 University of Helsinki, Helsinki, Finland
| | | | - J Williams
- University of Kansas, Lawrence, Kansas 66045, USA
| | | | - G W Wilson
- University of Kansas, Lawrence, Kansas 66045, USA
| | - M Wobisch
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - D R Wood
- Northeastern University, Boston, Massachusetts 02115, USA
| | - T R Wyatt
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - Y Xie
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Yamada
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Yang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - T Yasuda
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Y A Yatsunenko
- Joint Institute for Nuclear Research, Dubna 141980, Russia
| | - W Ye
- State University of New York, Stony Brook, New York 11794, USA
| | - Z Ye
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H Yin
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S W Youn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - J M Yu
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J Zennamo
- State University of New York, Buffalo, New York 14260, USA
| | - T G Zhao
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - B Zhou
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J Zhu
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - J Zich
- University of West Bohemia, 301 00 Pilsen, Czech Republic
| | - K Zielinski
- AGH University of Science and Technology, 30-059 Krakow, Poland
| | - M Zielinski
- University of Rochester, Rochester, New York 14627, USA
| | - D Zieminska
- Indiana University, Bloomington, Indiana 47405, USA
| | - L Zivkovic
- LPNHE, Universités Paris VI and VII, CNRS/IN2P3, F-75005 Paris, France
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Wainberg Z, Matos I, Delord J, Cassier P, Gil-Martin M, Kim T, LoRusso P, Bahleda R, Italiano A, Mendus D, Hoang T, Xue C, Wen X, Carvalho O, Pham T, Patil N, Meng R, Bendell J, Cervantes A, Cho B. LBA-5 Phase Ib study of the anti-TIGIT antibody tiragolumab in combination with atezolizumab in patients with metastatic esophageal cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.06.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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41
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Hoang T, Nguyen TQ, Tran TTA. Genetic Susceptibility of ACE2 and TMPRSS2 in Six Common Cancers and Possible Impacts on COVID-19. Cancer Res Treat 2021; 53:650-656. [PMID: 33421977 PMCID: PMC8291170 DOI: 10.4143/crt.2020.950] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 12/28/2020] [Indexed: 12/15/2022] Open
Abstract
PURPOSE Coronavirus disease 2019 (COVID-19) pandemic has spread worldwide rapidly and patients with cancer have been considered as a vulnerable group for this infection. This study aimed to examine the expressions of angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2) in tumor tissues of six common cancer types. MATERIALS AND METHODS The expression levels of ACE2 and TMPRSS2 in tumors and control samples were obtained from online databases. Survival prognosis and biological functions of these genes were investigated for each tumor type. RESULTS There was the overexpression of ACE2 in colon and stomach adenocarcinomas compared to controls, meanwhile colon and prostate adenocarcinomas showed a significantly higher expression of TMPRSS2. Additionally, survival prognosis analysis has demonstrated that upregulation of ACE2 in liver hepatocellular carcinoma was associated with higher overall survival (hazard ratio, 0.65; p=0.016) and disease-free survival (hazard ratio, 0.66; p=0.007), while overexpression of TMPRSS2 was associated with a 26% reduced risk of death in lung adenocarcinoma (p=0.047) but 50% increased risk of death in breast invasive carcinoma (p=0.015). CONCLUSION There is a need to take extra precautions for COVID-19 in patients with colorectal cancer, stomach cancer, and lung cancer. Further information on other types of cancer at different stages should be investigated.
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Affiliation(s)
- Tung Hoang
- Institute of Research and Development, Duy Tan University, Danang, Vietnam
- Faculty of Pharmacy, Duy Tan University, Danang, Vietnam
| | - Trung Quang Nguyen
- Department of Gastroenterology and Hepatology, Nghe An Oncology Hospital, Nghe An, Vietnam
| | - Tho Thi Anh Tran
- Department of Gastroenterology and Hepatology, Nghe An Oncology Hospital, Nghe An, Vietnam
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Hoang T, Nguyen Ngoc Q, Lee J, Lee EK, Hwangbo Y, Kim J. Evaluation of modifiable factors and polygenic risk score in thyroid cancer. Endocr Relat Cancer 2021; 28:481-494. [PMID: 33999009 DOI: 10.1530/erc-21-0078] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 05/14/2021] [Indexed: 11/08/2022]
Abstract
The cumulative effect of single-nucleotide polymorphisms (SNPs) on thyroid cancer has been adequately defined in individuals of European ancestry; however, similar evidence in the Korean population is limited. This study aimed to investigate the influence of modifiable factors and the polygenic risk score (PRS) and their interactive and combined effects on thyroid cancer. Using data from the cancer screenee cohort, this study included 759 thyroid cancer cases and 759 age- and sex-matched controls. We examined the effects of tobacco smoking, alcohol consumption, and regular exercise habits, BMI, and the PRS of six SNPs on thyroid cancer. Odds ratios (ORs) and 95% confidence intervals (CIs) for the associations were obtained using a conditional logistic regression model. The results indicated that family history, obesity, and the unweighted and weighted PRS were independently associated with susceptibility to thyroid cancer, with ORs (95% CIs) of 2.96 (1.63-5.36), 1.72 (1.20-2.48), 1.46 (1.10-1.93), and 1.56 (1.19-2.03), respectively, whereas the effect of smoking, drinking, and regular exercise was not significant. The contribution of the PRS remained after stratifying participants with healthy behaviors, such as nonsmokers/nondrinkers, and regular exercise. Although the PRS did not significantly contribute to the risk for thyroid cancer when participants were stratified according to BMI, BMI and the PRS had a cumulative effect on thyroid cancer risk. The combined effect of genetic polymorphisms on predisposition to thyroid cancer may differ based on tobacco smoking, alcohol consumption, regular exercise behaviors and cumulative BMI. Larger population-based studies are needed to validate these findings.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Gyeonggi-do, Republic of Korea
| | - Quy Nguyen Ngoc
- Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Gyeonggi-do, Republic of Korea
| | - Jeonghee Lee
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Gyeonggi-do, Republic of Korea
| | - Eun Kyung Lee
- Center for Thyroid Cancer, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea
| | - Yul Hwangbo
- Center for Thyroid Cancer, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Gyeonggi-do, Republic of Korea
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Affiliation(s)
- Tung Hoang
- Institute of Research and Development, Duy Tan UniversityDa NangVietnam
- Faculty of PharmacyDuy Tan UniversityDa NangVietnam
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Hoang T, Kim J. Phytonutrient supplements and metabolic biomarkers of cardiovascular disease: An umbrella review of meta-analyses of clinical trials. Phytother Res 2021; 35:4171-4182. [PMID: 33724587 DOI: 10.1002/ptr.7079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/22/2021] [Accepted: 02/24/2021] [Indexed: 12/20/2022]
Abstract
Phytonutrients exert several pharmacological effects on humans. In this study, we performed an umbrella review of the association of phytonutrient supplements (PNSs) with biomarkers of cardiovascular disease. Relevant published systematic reviews and meta-analyses of clinical trials were identified by searching PubMed, Embase, and Cochrane Library until July 4, 2020. Weighted mean differences (WMDs) and 95% confidence intervals (CIs) for summarized effects and I2 statistics of heterogeneity were extracted from individual studies or reanalyzed using a random-effects model. Of the 50 included studies, pooled effects of PNSs on blood pressure, lipid profiles, and glycemic control were reported in 16, 25, and 14 articles, respectively. The findings appeared to be highly heterogeneous among individual trials of included systematic reviews and meta-analyses. Ginger (WMD = -6.36 mmHg, 95% CI = -11.27, -1.46) and Hibiscus sabdariffa (WMD = -7.58 mmHg, 95% CI = -9.69, -5.46) were associated with lowered systolic blood pressure, whereas Aloe vera, Nigella sativa, and spirulina were associated with beneficial effects on both lipid profiles and glycemic control. In summary, this umbrella review has provided up-to-date evidence for the effect of PNSs on biomarkers related to hypertension, dyslipidemia, and diabetes. The results must be interpreted with caution due to potential heterogeneity.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Republic of Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Republic of Korea
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Avinashi V, Hoang T, Lee E, Dewan T, Heran M, Maroo S. A241 A REVIEW OF 101 CHILDREN WITH GASTRO-JEJUNAL FEEDING TUBES INCLUDING THEIR COMPLICATIONS AT BC CHILDREN’S HOSPITAL. J Can Assoc Gastroenterol 2021. [DOI: 10.1093/jcag/gwab002.239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The use of GastroJejunal Tubes (GJTs) is an increasingly common method for providing post-pyloric enteral nutrition in pediatric patients.
Aims
To describe the patients with GJT including the indication, comorbidities including by system, as well as tube related complications.
Methods
The charts of 101 patients who had a GJT over a one-year period (2019–20) were retrospectively reviewed including demographics, medical diagnoses, information about tube placement, maintenance, and complications including malposition, balloon failure, blockages, and leakages / breaks.
Results
The top indications for GJT are aspiration and GERD. 73.3% have >3 system comorbidities (ie CNS, GI, Resp). Mean age of GJT placement was 43 months. 78% remain on a PPI and 24% are on a prokinetic. 24% continue to eat some amount orally. Over this one-year period, 92% continue with a GJT (mean duration 4 years, max 15), 4% have reverted back to a G-tube, 1% had a surgical J tube placed, and 3% died (not due to the GJT). Following initial placement, these 101 patients underwent 1194 GJT related procedures, (417 urgent changes, 777 routine changes) with 98.3% technical success. Patients needed an average of one urgent repair per year (3.2/1000 GJT days) and the majority of patients required >1 emergency visit. Those with routine GJT changes seem to have fewer urgent repairs (Figure 1).
Conclusions
Children with GJT represent a growing complex patient population. GJT are being used for the longer term. Routine maintenance seems supported by our data although doesn’t prevent the need for urgent repairs or other complications. Frameworks and guidelines are needed for this essential technology to improve clinical care.
Funding Agencies
None
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Affiliation(s)
- V Avinashi
- BC Children’s Hospital, Vancouver, BC, Canada
| | - T Hoang
- BC Children’s Hospital, Vancouver, BC, Canada
| | - E Lee
- BC Children’s Hospital, Vancouver, BC, Canada
| | - T Dewan
- Alberta Children’s Hospital, Calgary, AB, Canada
| | - M Heran
- BC Children’s Hospital, Vancouver, BC, Canada
| | - S Maroo
- BC Children’s Hospital, Vancouver, BC, Canada
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Patil N, Cho B, Johnson M, Caro R, Spira A, Chiu C, Molden N, Pham T, Yang X, Choi Y, Zhang Z, Hoang T, Ballinger M, Meng R, Rodríguez-Abreu D. P77.02 Efficacy of Tiragolumab + Atezolizumab in PD-L1 IHC and TIGIT Subgroups in the Phase II CITYSCAPE Study in First-Line NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1160] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Abstract
The outbreak of novel pneumonia coronavirus disease has become a public health concern worldwide. Here, for the first time, the association between Korean meteorological factors and air pollutants and the COVID-19 infection was investigated. Data of air pollutants, meteorological factors, and daily COVID-19 confirmed cases of seven metropolitan cities and nine provinces were obtained from 3 February 2020 to 5 May 2020 during the first wave of pandemic across Korea. We applied the generalized additive model to investigate the temporal relationship. There was a significantly nonlinear association between daily temperature and COVID-19 confirmed cases. Each 1°C increase in temperature was associated with 9% (lag 0-14; OR = 1.09; 95% CI = 1.03-1.15) increase of COVID-19 confirmed cases when the temperature was below 8°C. A 0.01 ppm increase in NO2 (lag 0-7, lag 0.14, and lag 0-21) was significantly associated with increases of COVID-19 confirmed cases, with ORs (95% CIs) of 1.13 (1.02-1.25), 1.19 (1.09-1.30), and 1.30 (1.19-1.41), respectively. A 0.1 ppm increase in CO (lag 0-21) was associated with the increase in COVID-19 confirmed cases (OR = 1.10, 95% CI = 1.04-1.16). There was a positive association between per 0.001 ppm of SO2 concentration (lag 0, lag 0-7, and lag 0-14) and COVID-19 confirmed cases, with ORs (95% CIs) of 1.13 (1.04-1.22), 1.20 (1.11-1.31), and 1.15 (1.07-1.25), respectively. There were significantly temporal associations between temperature, NO2 , CO, and SO2 concentrations and daily COVID-19 confirmed cases in Korea.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical ScienceNational Cancer Center Graduate School of Cancer Science and PolicyGoyangKorea
- Institute of Research and DevelopmentDuy Tan UniversityDanangVietnam
- Faculty of PharmacyDuy Tan UniversityDanangVietnam
| | - Tho Thi Anh Tran
- Department of Gastroenterology and HepatologyNghe An Oncology HospitalNghe AnVietnam
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Hoang T, Nguyen TQ, Tran TTA. Short-term exposure to ambient air pollution in association with COVID-19 of two clusters in South Korea. Trop Med Int Health 2021; 26:478-491. [PMID: 33319410 DOI: 10.1111/tmi.13538] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES This study aimed to examine the association between six air pollutants and COVID-19 infection in two main clusters, which accounted for 83% of total confirmed cases in Korea. METHODS We collected the data on daily confirmed cases between February 24, 2020 and September 12, 2020. Data on six air pollutants (PM2.5 , PM10 , O3 , NO2 , CO and SO2 ) and four meteorological factors (temperature, wind speed, humidity and air pressure) were obtained on seven days prior to the research period. The generalised additive model and the distributed lag nonlinear model were applied to generate the relative risks (RRs) and 95% confidence intervals (CIs) for the associations. Pooled estimates for clusters were obtained by applying a random-effects model. RESULTS We found that NO2 concentration was positively associated with daily confirmed cases in both Seoul-Gyeonggi and Daegu-Gyeongbuk clusters, with RRs (95% CIs) of 1.22 (1.03-1.44) and 1.66 (1.25-2.19), respectively. However, SO2 concentration was observed to be associated with daily confirmed cases in the Seoul-Gyeonggi cluster only (RR = 1.30, 95% CI = 1.10-1.54), whereas PM2.5 and CO concentrations were observed to be associated with daily confirmed cases in the Daegu-Gyeongbuk cluster only (RR = 1.14, 95% CI = 1.02-1.27 and RR = 1.30, 95% CI = 1.15-1.48, respectively). CONCLUSIONS Our data found that NO2 concentration was positively associated with daily confirmed cases in both clusters, whereas the effect of PM2.5 , CO and SO2 on COVID-19 infection in two clusters was different.
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Affiliation(s)
- Tung Hoang
- Department of Caner Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Gyeonggi-do, Korea.,Institute of Research and Development, Duy Tan University, Danang, Vietnam.,Faculty of Pharmacy, Duy Tan University, Danang, Vietnam
| | - Trung Quang Nguyen
- Department of Gastroenterology and Hepatology, Nghe An Oncology Hospital, Nghe An, Vietnam
| | - Tho Thi Anh Tran
- Department of Gastroenterology and Hepatology, Nghe An Oncology Hospital, Nghe An, Vietnam
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Hoang T, Song D, Lee J, Lee EK, Hwangbo Y, Kim J. Association among Body Mass Index, Genetic Variants of FTO, and Thyroid Cancer Risk: A Hospital-Based Case-Control Study of the Cancer Screenee Cohort in Korea. Cancer Res Treat 2020; 53:857-873. [PMID: 33285050 PMCID: PMC8291195 DOI: 10.4143/crt.2020.720] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/04/2020] [Indexed: 12/24/2022] Open
Abstract
Purpose Obesity has been determined to be associated with fat mass and obesity-associated (FTO) gene and thyroid cancer risk. However, the effect of combined interactions between obesity and the FTO gene on thyroid cancer needs further investigation. This study aimed to examine whether interactions between body mass index (BMI) and the FTO gene are associated with an increased risk of thyroid cancer. Materials and Methods A total of 705 thyroid cancer cases and 705 sex- and age-matched normal controls were selected from the Cancer Screenee Cohort in National Cancer Center, Korea. A conditional logistic regression model was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the measure of associations and the combined effect of BMI and FTO gene on thyroid cancer. Results BMI was associated with an increased risk of thyroid cancer in subclasses of overweight (23–24.9 kg/m2; adjusted OR, 1.50; 95% CI, 1.12 to 2.00) and obese (≥ 25 kg/m2) (adjusted OR, 1.62; 95% CI, 1.23 to 2.14). There were positive associations between the FTO genetic variants rs8047395 and rs8044769 and an increased risk of thyroid cancer. Additionally, the combination of BMI subclasses and FTO gene variants was significantly associated with thyroid cancer risk in the codominant (rs17817288), dominant (rs9937053, rs12149832, rs1861867, and rs7195539), and recessive (rs17817288 and rs8044769) models. Conclusion Findings from this study identified the effects of BMI on thyroid cancer risk among individuals carrying rs17817288, rs9937053, rs12149832, rs1861867, rs7195539, and rs8044769, whereas the effects of BMI may be modified according to individual characteristics of other FTO variants.
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Affiliation(s)
- Tung Hoang
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Dayoung Song
- Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Jeonghee Lee
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
| | - Eun Kyung Lee
- Center for Thyroid Cancer, National Cancer Center, Goyang, Korea
| | - Yul Hwangbo
- Center for Thyroid Cancer, National Cancer Center, Goyang, Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea
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Hoang T, Lee J, Kim J. Differences in Dietary Patterns Identified by the Gaussian Graphical Model in Korean Adults With and Without a Self-Reported Cancer Diagnosis. J Acad Nutr Diet 2020; 121:1484-1496.e3. [PMID: 33288494 DOI: 10.1016/j.jand.2020.11.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 11/04/2020] [Accepted: 11/10/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND The synergistic effect of food groups on health outcomes is better captured by examining dietary patterns (DPs) than single food groups. Regarding this issue, a Gaussian graphical model (GGM) can identify pairwise correlations between food groups and adjust for the remaining items. However, the application of GGMs in the nutritional field has not been widely investigated, especially in Korean adults. OBJECTIVE The aim of this study was to identify the major DPs of Korean adults by using a GGM and to examine the associations between the DP scores and prevalence of self-reported cancer. DESIGN This cross-sectional study used baseline data from the 2007-2019 Cancer Screenee Cohort of the National Cancer Center, Korea. PARTICIPANTS/SETTING In total, 10,777 Korean adults who completed a questionnaire regarding their general medical history, including clinical test results, and a validated food frequency questionnaire were included. MAIN OUTCOME MEASURES The main outcome measure was the prevalence of self-reported cancer at baseline. STATISTICAL ANALYSIS DP networks were identified using a GGM. The GGM-identified networks were scored and categorized into tertiles, and their association with the prevalence of self-reported cancer was investigated using a multivariable logistic regression model. RESULTS The GGM identified the following 4 DP networks: principal, oil-sweet, meat, and fruit. After adjusting for covariates, the odds of moderate and high consumption of foods in the oil-sweet DP for participants who self-reported cancer were 25% and 34% lower than those for participants who did not report a cancer diagnosis (odds ratio [OR] = 0.75, 95% confidence interval [CI] = 0.62-0.90 and OR = 0.66, 95% CI = 0.53-0.81, respectively). Additionally, the odds of meat DP consumption in the self-reported cancer group was 29% lower than in participants who did not report a cancer diagnosis (OR = 0.71 and 95% CI = 0.57-0.88). In contrast, an increase in the odds of fruit DP consumption was observed for self-reported cancer participants (OR = 1.34 and 95% CI = 1.09-1.65). Similar results were observed among the female but not the male subjects. CONCLUSIONS GGM is a novel method that can distinguish the direct pairwise correlation of food groups and control for the indirect effect of other foods. Future large-scale longitudinal population-based studies are needed to build on these findings in general populations.
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