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Doyon VC, Liu C, Fitzgerald R, Humphrey S, Jones D, Carruthers JDA, Beleznay K. Update on Blindness From Filler: Review of Prognostic Factors, Management Approaches, and a Century of Published Cases. Aesthet Surg J 2024:sjae091. [PMID: 38630871 DOI: 10.1093/asj/sjae091] [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: 02/23/2024] [Revised: 04/04/2024] [Accepted: 04/10/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Vision loss secondary to aesthetic filler treatment is a rare but disastrous complication. OBJECTIVES The aim was to update the published cases of blindness after filler injection that have occurred since our group published reviews of 98 cases in 2015 and an additional 48 cases in 2019. METHODS A literature review was performed to identify all cases of visual complications caused by filler injection published between September 2018 and March 2023. The cases were analyzed independently and in combination with previously reviewed cases. Analyses are based on the number of cases with data available. RESULTS 365 new cases of partial or complete vision loss after filler injection were identified. The sites that were highest risk were the nose (40.6%), forehead (27.7%), and glabella (19.0%). The filler injected was hyaluronic acid in 79.6% of cases. The most common associated signs were ptosis (56.2%), ophthalmoplegia (44.1%), pain (31.2%), and skin changes (73.2%). Stroke-like features were seen in 19.2% of cases. Of the cases reporting visual outcomes (318), 6.0% experienced complete vision recovery, 25.8% had partial improvement in visual acuity, and 68.2% had no vision recovery. Partially preserved visual acuity at onset was a significant predictor of visual improvement (p < .001). The three most common treatments were subcutaneous hyaluronidase at or near the filler site (70.1%), systemic steroids (57.3%), and intra-arterial thrombolytic therapy (56.0%). No treatments were significantly associated with visual improvement (p > .05). CONCLUSIONS Although blindness and stroke from fillers is a rare complication, practitioners who inject filler should have a thorough knowledge of prevention and management strategies.
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Affiliation(s)
- Valerie C Doyon
- Junior Resident, Division of Dermatology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - Chaocheng Liu
- Department of Dermatology, University of British Columbia, Vancouver, BC, Canada
| | | | - Shannon Humphrey
- Department of Dermatology, University of British Columbia, Vancouver, BC, Canada
| | - Derek Jones
- Dermatologist in private practice in Los Angeles, CA
| | - Jean D A Carruthers
- Clinical Professor, Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Katie Beleznay
- Department of Dermatology, University of British Columbia, Vancouver, BC, Canada
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Perdomo S, Abedi-Ardekani B, de Carvalho AC, Ferreiro-Iglesias A, Gaborieau V, Cattiaux T, Renard H, Chopard P, Carreira C, Spanu A, Nikmanesh A, Cardoso Penha RC, Antwi SO, Ashton-Prolla P, Canova C, Chitapanarux T, Cox R, Curado MP, de Oliveira JC, Dzamalala C, Fabianova E, Ferri L, Fitzgerald R, Foretova L, Gallinger S, Goldstein AM, Holcatova I, Huertas A, Janout V, Jarmalaite S, Kaneva R, Kowalski LP, Kulis T, Lagiou P, Lissowska J, Malekzadeh R, Mates D, McCorrmack V, Menya D, Mhatre S, Mmbaga BT, de Moricz A, Nyirády P, Ognjanovic M, Papadopoulou K, Polesel J, Purdue MP, Rascu S, Rebolho Batista LM, Reis RM, Ribeiro Pinto LF, Rodríguez-Urrego PA, Sangkhathat S, Sangrajrang S, Shibata T, Stakhovsky E, Świątkowska B, Vaccaro C, Vasconcelos de Podesta JR, Vasudev NS, Vilensky M, Yeung J, Zaridze D, Zendehdel K, Scelo G, Chanudet E, Wang J, Fitzgerald S, Latimer C, Moody S, Humphreys L, Alexandrov LB, Stratton MR, Brennan P. The Mutographs biorepository: A unique genomic resource to study cancer around the world. Cell Genom 2024; 4:100500. [PMID: 38325367 PMCID: PMC10943582 DOI: 10.1016/j.xgen.2024.100500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/24/2023] [Accepted: 01/10/2024] [Indexed: 02/09/2024]
Abstract
Large-scale biorepositories and databases are essential to generate equitable, effective, and sustainable advances in cancer prevention, early detection, cancer therapy, cancer care, and surveillance. The Mutographs project has created a large genomic dataset and biorepository of over 7,800 cancer cases from 30 countries across five continents with extensive demographic, lifestyle, environmental, and clinical information. Whole-genome sequencing is being finalized for over 4,000 cases, with the primary goal of understanding the causes of cancer at eight anatomic sites. Genomic, exposure, and clinical data will be publicly available through the International Cancer Genome Consortium Accelerating Research in Genomic Oncology platform. The Mutographs sample and metadata biorepository constitutes a legacy resource for new projects and collaborations aiming to increase our current research efforts in cancer genomic epidemiology globally.
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Affiliation(s)
- Sandra Perdomo
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Behnoush Abedi-Ardekani
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ana Carolina de Carvalho
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Aida Ferreiro-Iglesias
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Valérie Gaborieau
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Thomas Cattiaux
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Hélène Renard
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Priscilia Chopard
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Christine Carreira
- Evidence Synthesis and Classification Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Andreea Spanu
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Arash Nikmanesh
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Samuel O Antwi
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Patricia Ashton-Prolla
- Experimental Research Center, Genomic Medicine Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil; Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Cristina Canova
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padova, Italy
| | - Taned Chitapanarux
- Department of Internal Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Riley Cox
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Maria Paula Curado
- Department of Epidemiology, A.C. Camargo Cancer Center, São Paulo, Brazil
| | | | | | | | - Lorenzo Ferri
- Departments of Surgery and Oncology, McGill University, Montreal, QC, Canada
| | | | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Steven Gallinger
- Mount Sinai Hospital; Ontario Institute for Cancer Research (OICR), Toronto, ON, Canada
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Ivana Holcatova
- Institute of Public Health & Preventive Medicine, 2nd Faculty of Medicine, Charles University, Prague, Czech Republic; Department of Oncology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | | | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Sonata Jarmalaite
- Laboratory of Genetic Diagnostic, National Cancer Institute, Vilnius, Lithuania; Department of Botany and Genetics, Institute of Biosciences, Vilnius University, Vilnius, Lithuania
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University of Sofia, Sofia, Bulgaria
| | - Luiz Paulo Kowalski
- Department of Epidemiology, A.C. Camargo Cancer Center, São Paulo, Brazil; University of São Paulo Medical School, São Paulo, Brazil
| | - Tomislav Kulis
- Department of Urology, University Hospital Center Zagreb, Zagreb, Croatia; University of Zagreb School of Medicine, Zagreb, Croatia
| | - Pagona Lagiou
- National and Kapodistrian University of Athens, Athens, Greece
| | - Jolanta Lissowska
- The Maria Sklodowska-Cure National Research Institute of Oncology, Warsaw, Poland
| | - Reza Malekzadeh
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Dana Mates
- Occupational Health and Toxicology, National Center for Environmental Risk Monitoring, National Institute of Public Health, Bucharest, Romania
| | - Valerie McCorrmack
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Diana Menya
- Moi University, School of Public Health, Eldoret, Kenya
| | - Sharayu Mhatre
- Division of Molecular Epidemiology and Population Genomics, Centre for Cancer Epidemiology, Tata Memorial Centre, Mumbai, India
| | | | - André de Moricz
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre & Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | | | - Miodrag Ognjanovic
- IOCPR- International Organization for Cancer Prevention and Research, Serbia, Belgrade
| | | | - Jerry Polesel
- Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stefan Rascu
- Urology Department, "Carol Davila" University of Medicine and Pharmacy - "Prof. Dr. Th. Burghele" Clinical Hospital, Bucharest, Romania
| | | | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil; Life and Health Sciences Research Institute (ICVS), School of Medicine, Minho University, Braga, Portugal
| | | | | | - Surasak Sangkhathat
- Translational Medicine Research Center, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | | | - Tatsuhiro Shibata
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Minato-ku, Japan; Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Japan
| | | | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Łódź, Poland
| | - Carlos Vaccaro
- Instituto Medicina Traslacional e Ingenieria Biomedica - CONICET, Buenos Aires, Argentina
| | | | - Naveen S Vasudev
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Marta Vilensky
- Instituto de Oncología Angel Roffo, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - David Zaridze
- Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Kazem Zendehdel
- Cancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ghislaine Scelo
- Observational & Pragmatic Research Institute Pte., Ltd., Singapore, Singapore
| | - Estelle Chanudet
- Department of Pathology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Jingwei Wang
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Stephen Fitzgerald
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Calli Latimer
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Sarah Moody
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Laura Humphreys
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA; Department of Bioengineering, University of California San Diego, La Jolla, CA, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
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3
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Fitzgerald R. Coming home to roost. Nat Cancer 2024; 5:365-366. [PMID: 38168936 DOI: 10.1038/s43018-023-00601-3] [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] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
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Lahart B, Buckley F, Herron J, Fitzgerald R, Fitzpatrick E, Galvin N, Shalloo L. Evaluating enteric methane emissions within a herd of genetically divergent grazing dairy cows. J Dairy Sci 2024; 107:383-397. [PMID: 37709046 DOI: 10.3168/jds.2022-22646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 08/18/2023] [Indexed: 09/16/2023]
Abstract
Enteric methane (CH4) emissions of 3 genetic groups (GG) of dairy cows were recorded across the grazing season (early March to late October). The 3 GG were (1) high economic breeding index (EBI) Holstein-Friesian (HF) representative of the top 1% of dairy cows in Ireland at the time of the study (elite), (2) national average (NA) EBI, which were representative of the average HF dairy cow in Ireland, and (3) purebred Jersey (JE) cows. Enteric CH4 was recorded using GreenFeed technology. Seasonal variation in CH4 was observed, with the lowest daily CH4 emissions and CH4 expressed per unit of dry matter intake occurring in spring (253 g/d and 15.56 g/kg, respectively), intermediate in summer (303 g/d and 18.26 g/kg, respectively), and greatest in autumn (324 g/d and 19.80 g/kg, respectively). Seasonal variation was also observed in the proportion of gross energy intake converted to CH4 (Ym); in the spring the Ym was lowest at 0.046, increasing to 0.053 and 0.058 in the summer and autumn, respectively. There was no difference in daily CH4 between the elite and NA, whereas JE had lower CH4 emissions compared with the elite. When expressed per unit of milk solids (fat + protein yield; MS), the elite and JE produced 6.8% and 9.7% less CH4 per kilogram of MS, respectively, compared with NA. There was no difference between the GG for CH4 per unit of DMI or the Ym. This research emphasizes the variation in CH4 emissions across the grazing season and among cows of differing genetic merit for CH4 emission intensities but not for CH4 per unit of DMI or the Ym.
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Affiliation(s)
- B Lahart
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302.
| | - F Buckley
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302; School of Biological Earth and Environmental Science, University College Cork, Distillery Fields, North Mall, Cork, Ireland T12 K8AF
| | - J Herron
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302
| | - R Fitzgerald
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302
| | - E Fitzpatrick
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302
| | - N Galvin
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302
| | - L Shalloo
- Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Fermoy, Co. Cork, Ireland P61 P302
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Traberg WC, Uribe J, Druet V, Hama A, Moysidou CM, Huerta M, McCoy R, Hayward D, Savva A, Genovese AMR, Pavagada S, Lu Z, Koklu A, Pappa AM, Fitzgerald R, Inal S, Daniel S, Owens RM. Organic Electronic Platform for Real-Time Phenotypic Screening of Extracellular-Vesicle-Driven Breast Cancer Metastasis. Adv Healthc Mater 2023; 12:e2301194. [PMID: 37171457 DOI: 10.1002/adhm.202301194] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 04/21/2023] [Indexed: 05/13/2023]
Abstract
Tumor-derived extracellular vesicles (TEVs) induce the epithelial-to-mesenchymal transition (EMT) in nonmalignant cells to promote invasion and cancer metastasis, representing a novel therapeutic target in a field severely lacking in efficacious antimetastasis treatments. However, scalable technologies that allow continuous, multiparametric monitoring for identifying metastasis inhibitors are absent. Here, the development of a functional phenotypic screening platform based on organic electrochemical transistors (OECTs) for real-time, noninvasive monitoring of TEV-induced EMT and screening of antimetastatic drugs is reported. TEVs derived from the triple-negative breast cancer cell line MDA-MB-231 induce EMT in nonmalignant breast epithelial cells (MCF10A) over a nine-day period, recapitulating a model of invasive ductal carcinoma metastasis. Immunoblot analysis and immunofluorescence imaging confirm the EMT status of TEV-treated cells, while dual optical and electrical readouts of cell phenotype are obtained using OECTs. Further, heparin, a competitive inhibitor of cell surface receptors, is identified as an effective blocker of TEV-induced EMT. Together, these results demonstrate the utility of the platform for TEV-targeted drug discovery, allowing for facile modeling of the transient drug response using electrical measurements, and provide proof of concept that inhibitors of TEV function have potential as antimetastatic drug candidates.
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Affiliation(s)
- Walther C Traberg
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Johana Uribe
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, NY, 14853, USA
| | - Victor Druet
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 3955, Kingdom of Saudi Arabia
| | - Adel Hama
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 3955, Kingdom of Saudi Arabia
| | - Chrysanthi-Maria Moysidou
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Miriam Huerta
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, NY, 14853, USA
| | - Reece McCoy
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Daniel Hayward
- Early Cancer Institute, University of Cambridge, Hutchison Research Centre, Cambridge, CB2 0XZ, UK
| | - Achilleas Savva
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Amaury M R Genovese
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Suraj Pavagada
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
- Early Cancer Institute, University of Cambridge, Hutchison Research Centre, Cambridge, CB2 0XZ, UK
| | - Zixuan Lu
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
| | - Anil Koklu
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 3955, Kingdom of Saudi Arabia
| | - Anna-Maria Pappa
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
- Healthcare Innovation Engineering Center, Khalifa University, Abu Dhabi, PO Box 127788, United Arab Emirates
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, PO Box 127788, United Arab Emirates
| | - Rebecca Fitzgerald
- Early Cancer Institute, University of Cambridge, Hutchison Research Centre, Cambridge, CB2 0XZ, UK
| | - Sahika Inal
- Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 3955, Kingdom of Saudi Arabia
| | - Susan Daniel
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Olin Hall, Ithaca, NY, 14853, USA
| | - Róisín M Owens
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK
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Hippisley-Cox J, Mei W, Fitzgerald R, Coupland C. Development and validation of a novel risk prediction algorithm to estimate 10-year risk of oesophageal cancer in primary care: prospective cohort study and evaluation of performance against two other risk prediction models. Lancet Reg Health Eur 2023; 32:100700. [PMID: 37635924 PMCID: PMC10450987 DOI: 10.1016/j.lanepe.2023.100700] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 08/29/2023]
Abstract
Background Methods to identify patients at increased risk of oesophageal cancer are needed to better identify those for targeted screening. We aimed to derive and validate novel risk prediction algorithms (CanPredict) to estimate the 10-year risk of oesophageal cancer and evaluate performance against two other risk prediction models. Methods Prospective open cohort study using routinely collected data from 1804 QResearch® general practices. We used 1354 practices (12.9 M patients) to develop the algorithm. We validated the algorithm in 450 separate practices from QResearch (4.12 M patients) and 355 Clinical Practice Research Datalink (CPRD) practices (2.53 M patients). The primary outcome was an incident diagnosis of oesophageal cancer found in GP, mortality, hospital, or cancer registry data. Patients were aged 25-84 years and free of oesophageal cancer at baseline. Cox proportional hazards models were used with prediction selection to derive risk equations. Risk factors included age, ethnicity, Townsend deprivation score, body mass index (BMI), smoking, alcohol, family history, relevant co-morbidities and medications. Measures of calibration, discrimination, sensitivity, and specificity were calculated in the validation cohorts. Finding There were 16,384 incident cases of oesophageal cancer in the derivation cohort (0.13% of 12.9 M). The predictors in the final algorithms were: age, BMI, Townsend deprivation score, smoking, alcohol, ethnicity, Barrett's oesophagus, hiatus hernia, H. pylori infection, use of proton pump inhibitors, anaemia, lung and blood cancer (with breast cancer in women). In the QResearch validation cohort in women the explained variation (R2) was 57.1%; Royston's D statistic 2.36 (95% CI 2.26-2.46); C statistic 0.859 (95% CI 0.849-0.868) and calibration was good. Results were similar in men. For the 20% at highest predicted risk, the sensitivity was 76%, specificity was 80.1% and the observed risk at 10 years was 0.76%. The results from the CPRD validation were similar. Interpretation We have developed and validated a novel prediction algorithm to quantify the absolute risk of oesophageal cancer. The CanPredict algorithms could be used to identify high risk patients for targeted screening. Funding Innovate UK and CRUK (grant 105857).
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Affiliation(s)
- Julia Hippisley-Cox
- Nuffield Department of Primary Health Care Sciences, University of Oxford, England
| | - Winnie Mei
- Nuffield Department of Primary Health Care Sciences, University of Oxford, England
| | - Rebecca Fitzgerald
- Early Cancer Institute, University of Cambridge and Addenbrooke's Hospital, Cambridge, England
| | - Carol Coupland
- Nuffield Department of Primary Health Care Sciences, University of Oxford, England
- Centre for Academic Primary Care, School of Medicine, University Park, Nottingham, NG2 7R, England
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7
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Lindström S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, Harrison T, Turman C, Chen H, Mancuso N, Bammler T, Gallinger S, Gruber SB, Gunter MJ, Le Marchand L, Moreno V, Offit K, De Vivo I, O’Mara TA, Spurdle AB, Tomlinson I, Fitzgerald R, Gharahkhani P, Gockel I, Jankowski J, Macgregor S, Schumacher J, Barnholtz-Sloan J, Bondy ML, Houlston RS, Jenkins RB, Melin B, Wrensch M, Brennan P, Christiani DC, Johansson M, Mckay J, Aldrich MC, Amos CI, Landi MT, Tardon A, Bishop DT, Demenais F, Goldstein AM, Iles MM, Kanetsky PA, Law MH, Amundadottir LT, Stolzenberg-Solomon R, Wolpin BM, Klein A, Petersen G, Risch H, Chanock SJ, Purdue MP, Scelo G, Pharoah P, Kar S, Hung RJ, Pasaniuc B, Kraft P. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. J Natl Cancer Inst 2023; 115:712-732. [PMID: 36929942 PMCID: PMC10248849 DOI: 10.1093/jnci/djad043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/07/2022] [Accepted: 02/14/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND The shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci. METHODS We collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified cancer susceptibility loci. RESULTS We observed widespread but modest genome-wide genetic correlations across cancers. In cross-cancer GWAS and transcriptome-wide association studies, we identified 15 novel cancer susceptibility loci. Additionally, we identified multiple variants at 77 distinct loci with strong evidence of being associated with at least 2 cancer types by testing for pleiotropy at known cancer susceptibility loci. CONCLUSIONS Overall, these results suggest that some genetic risk variants are shared among cancers, though much of cancer heritability is cancer-specific and thus tissue-specific. The increase in statistical power associated with larger sample sizes in cross-disease analysis allows for the identification of novel susceptibility regions. Future studies incorporating data on multiple cancer types are likely to identify additional regions associated with the risk of multiple cancer types.
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Affiliation(s)
- Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lu Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Helian Feng
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Arunabha Majumdar
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
| | - Sijia Huo
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - James Macdonald
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Tabitha Harrison
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Hongjie Chen
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Nicholas Mancuso
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theo Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | | | - Steve Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Marc J Gunter
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | | | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | | | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Radcliffe Institute, Cambridge, MA, USA
| | - Tracy A O’Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ian Tomlinson
- Cancer Research Centre, The University of Edinburgh, Edinburgh, UK
| | | | - Rebecca Fitzgerald
- MRC Cancer Unit, Hutchison-MRC Research Centre, University of Cambridge, Cambridge, UK
| | - Puya Gharahkhani
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Janusz Jankowski
- Institute for Clinical Trials, University College London, Holborn, UK
- University of the South Pacific, Suva, Fiji
| | - Stuart Macgregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Jill Barnholtz-Sloan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Trans-Divisional Research Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Melissa L Bondy
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Robert B Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Margaret Wrensch
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - David C Christiani
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James Mckay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Adonina Tardon
- University Institute of Oncology of the Principality of Asturias (IUOPA), University of Oviedo and Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Oviedo, Spain
| | | | - D Timothy Bishop
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Florence Demenais
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR-1124, Paris, France
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark M Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia
| | | | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brian M Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | | | - Alison Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Gloria Petersen
- Department of Quantitative Health Science, Mayo Clinic, Rochester, MN, USA
| | - Harvey Risch
- Yale School of Public Health, Chronic Disease Epidemiology, New Haven, CT, USA
| | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ghislaine Scelo
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Siddhartha Kar
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Bogdan Pasaniuc
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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8
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Dev H, Lach R, Park G, Hanson R, Martin H, Lleshi E, Rossi S, Redmond A, Gnanapragasam V, Fitzgerald R, Stewart G, Massie C. Early detection assay using ctDNA methylation for hard-to-detect cases including prostate and renal cancer. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00414-1] [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: 02/12/2023]
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9
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Moore J, Green M, Deere H, Santaolalla A, Evans R, Elshafie M, Lavery A, McGuigan A, McManus D, Horne J, Walker R, Mir H, Terlizzo M, Kamarajah S, Van Hemelrijck M, Maisey N, Lumsden A, Ngan S, Kelly M, Baker C, Kumar S, Lagergren J, Allum W, Gossage J, Griffiths E, Grabsch H, Turkington R, Underwood T, Smyth E, Fitzgerald R, Cunningham D, Davies A. OGC O02 The prognostic effect of pathological lymph node regression after neoadjuvant chemotherapy for oesophageal adenocarcinoma – a multicentre study. Br J Surg 2022. [DOI: 10.1093/bjs/znac404.034] [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: 12/12/2022]
Abstract
Abstract
Background
The prognostic benefits of primary tumour and lymph node (LN) downstaging after neoadjuvant chemotherapy for oesophageal adenocarcinoma are well described. Pathological primary tumour regression grading (TRG) is widely used in the assessment of response to chemotherapy and has been shown to have prognostic value in this patient group. However, there is a lack of robust evidence regarding the prognostic effect of pathological response in LN despite emerging evidence of a discrepancy, up to 25% of patients in some studies, between TRG in the primary tumour and response in regional LNs. Although primary tumour regression is routinely documented as part of the standard pathological reporting of oesophagectomy specimens, LN regression is generally overlooked despite it's potential prognostic value. The aim of this study was to investigate the relationship between pathological response in LN, tumour recurrence and survival.
Methods
Multicentre cohort study including 763 patients with oesophageal adenocarcinoma treated with neoadjuvant chemotherapy followed by surgery at Guy's and St Thomas’ NHS Foundation Trust (NHS-FT), The Royal Marsden NHS-FT, University Hospitals Birmingham NHS-FT, University Hospital Southampton NHS-FT and Belfast Health and Social Care Trust. Tumour regression was assessed in the primary tumour (as described by Mandard) and, retrospectively, in LNs retrieved from oesophagectomy specimens. LN were graded according to the proportion of fibrosis and residual tumour providing a LN regression score (LNRS). LNRS 1, complete response; LNRS 2, < 10% remaining tumour; LNRS 3, 10–50% remaining tumour; LNRS 4, > 50% viable tumour; LNRS 5, no evidence of response. Regression was defined as a LNRS of 1–3. Patients were classified as LN negative (no evidence of tumour or regression in any LN), complete LN-responders (evidence of regression ≥1 LN, no residual tumour in any LN), partial LN-responders (evidence of regression ≥1 LN with residual tumour ≥1 LN) and LN non-responders (no or minimal regression in any LN). Survival analysis was performed using multivariable Cox regression providing hazard ratios (HR) with 95% confidence intervals (CI) adjusting for age, gender, chemotherapy regimen, clinical stage, tumour grade, lympho-vascular invasion and primary tumour response.
Results
Mean age was 63 years with the majority male (86.2%). In total, 17,930 LN from 763 patients were analysed for evidence of response to chemotherapy. Overall, 243 (31.8%) patients were classified as LN negative, 62 (8.1%) as complete LN-responders, 155 (20.3%) as partial LN-responders and 303 (39.7%) as LN non-responders. Less than half (322/763, 42.2%) of patients demonstrated a pathological response in the primary tumour (Mandard score 1–3). Some patients had a LN response in the absence of a response in the primary tumour (97/431, 22.5%). Multivariable Cox regression survival analysis demonstrated improved overall survival in complete LN-responders (HR 0.37 95% CI 0.24–0.58), partial LN-responders (HR 0.70 95% CI 0.55–0.89) and LN negative patients (HR 0.34 95% CI 0.26–0.44) compared to LN non-responders. Similar results were observed for disease-free survival (complete LN-responders, HR 0.34 95% CI 0.22–0.53; partial LN-responders, HR 0.74 95% CI 0.58–0.93; LN negative, HR 0.33 95% CI 0.25–0.42). Rates of tumour recurrence were lower in patients who demonstrated a LN response or had negative LN (LN negative 23.0% vs complete LN-responders 19.4% vs partial LN-responders 50.3% vs LN non-responders 66.7%, p<0.001).
Conclusions
In this cohort of patients with oeosphageal adenocarcinoma treated with neoadjuvant chemotherapy prior to surgical resection, LN regression was a strong predictive factor for better survival. This relationship was independent of primary tumour response, which was discordant in a significant number of patients. Complete LN-responders had equivalent survival to those with negative LN. Complete and partial LN-responders had better survival than LN non-responders. Evaluation and documentation of LN regression should be considered during the standard pathological reporting of oesophagectomy specimens.
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Affiliation(s)
- Jonathan Moore
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
- King's College London , London , United Kingdom
| | - Michael Green
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
| | - Harriet Deere
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
| | | | - Richard Evans
- University Hospitals Birmingham NHS Foundation Trust , Birmingham , United Kingdom
| | - Mona Elshafie
- University Hospitals Birmingham NHS Foundation Trust , Birmingham , United Kingdom
| | - Anita Lavery
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast , Belfast , United Kingdom
| | - Andrew McGuigan
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast , Belfast , United Kingdom
| | - Damian McManus
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast , Belfast , United Kingdom
| | - Joanne Horne
- University Hospital Southampton NHS Foundation Trust , Southampton , United Kingdom
| | - Robert Walker
- University Hospital Southampton NHS Foundation Trust , Southampton , United Kingdom
| | - Hira Mir
- The Royal Marsden NHS Foundation Trust , London , United Kingdom
| | - Monica Terlizzo
- The Royal Marsden NHS Foundation Trust , London , United Kingdom
| | - Sivesh Kamarajah
- University Hospitals Birmingham NHS Foundation Trust , Birmingham , United Kingdom
| | | | - Nick Maisey
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
| | - Ailsa Lumsden
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
| | - Sarah Ngan
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
| | - Mark Kelly
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
- King's College London , London , United Kingdom
| | - Cara Baker
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
- King's College London , London , United Kingdom
| | - Sacheen Kumar
- The Royal Marsden NHS Foundation Trust , London , United Kingdom
| | - Jesper Lagergren
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
- King's College London , London , United Kingdom
- Karolinsa Institutet , Stockholm , Sweden
| | - William Allum
- The Royal Marsden NHS Foundation Trust , London , United Kingdom
| | - James Gossage
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
- King's College London , London , United Kingdom
| | - Ewan Griffiths
- University Hospitals Birmingham NHS Foundation Trust , Birmingham , United Kingdom
| | - Heike Grabsch
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Center , Maastricht , Netherlands
- Leeds Institute of Medical Research at St James’s, University of Leeds , Leeds , United Kingdom
| | - Richard Turkington
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast , Belfast , United Kingdom
| | - Tim Underwood
- University Hospital Southampton NHS Foundation Trust , Southampton , United Kingdom
| | - Elizabeth Smyth
- Cambridge University Hospitals NHS Foundation Trust , Cambridge , United Kingdom
| | - Rebecca Fitzgerald
- Cambridge University Hospitals NHS Foundation Trust , Cambridge , United Kingdom
| | - David Cunningham
- The Royal Marsden NHS Foundation Trust , London , United Kingdom
| | - Andrew Davies
- Guy's and St Thomas’ NHS Foundation Trust , London , United Kingdom
- King's College London , London , United Kingdom
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10
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Katz-Summercorn A, Peneva I, Frangou A, Jammula S, O'Donovan M, Tripathi M, Malhotra S, di Pietro M, Devonshire G, Redmond A, Wedge D, Fitzgerald R. OGC P04 Spatial sampling of Barrett's oesophagus reveals that tumour heterogeneity is not a useful predictor of progression to cancer. Br J Surg 2022. [DOI: 10.1093/bjs/znac404.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Abstract
Background
Intra-tumour heterogeneity has been well-described in oesophageal adenocarcinoma and Barrett's oesophagus (BE) segments also consist of multiple clones (groups of cells which share mutations). In BE there is some suggestion that the number of individual genetic clones within the segment and the diversity of the segment can be predictors of progression to cancer. However, this was with pre- whole genome sequencing (WGS) methods. In this study we consider the detailed spatial maps of ten patients with different disease trajectories, using WGS, to determine the heterogeneity and correlate it with their progression.
Methods
We performed WGS (50x) on 35 high-quality, frozen, endoscopic biopsies taken spatially from ten cases (8 males, 2 females, median age 75 (range 31–83). This included 4 long-term non-dysplastic (ND) patients with long BE segments and 6 patients with dysplasia. We used the copy number and purity information (from Battenberg) and the somatic mutation clustering information (from DPClust) to infer the clonal and subclonal architecture of individual biopsies and looked at the spatial relationship between biopsies within the segment.
Results
In both ND and dysplastic BE we saw cells with unrelated patterns of mutations, or clones, implying completely separate origins for different parts of the segments. This suggests independent or parallel evolution. There was a higher burden of shared (truncal) mutations in the dysplastic biopsies (p=0.049), indicating a more recent clonal sweep with some clones being outcompeted. Dysplastic samples had more subclonal copy number aberrations and more clonal driver mutations. In addition, most of the driver gene alterations in the dysplastic trees occurred early, whereas CDKN2A, the p16 locus, was the only truncal mutation found on the ND clone trees. We did not find the number of clones or the diversity of the segment to differ between the two groups.
Conclusions
Each individual patient showed complex, distinct genomic features and evolutionary trajectories. Some cases arose from a single ancestral clone, while others had few shared mutational variants suggesting multiple clones. Importantly, in this sample of cases we did not see any trend that the clonal diversity or number of clones correlated with progression to cancer. This is different to previous studies and highlights the importance of multiple sampling to determine the propensity for cancer progression even if the samples look similar histologically.
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Affiliation(s)
| | - Iliana Peneva
- Wellcome Centre for Human Genetics, University of Oxford , Oxford , United Kingdom
| | - Anna Frangou
- Wellcome Centre for Human Genetics, University of Oxford , Oxford , United Kingdom
| | - Sriganesh Jammula
- Cancer Research UK Cambridge Institute, University of Cambridge , Cambridge , United Kingdom
| | - Maria O'Donovan
- Early Cancer Institute, University of Cambridge , Cambridge , United Kingdom
| | - Monika Tripathi
- Early Cancer Institute, University of Cambridge , Cambridge , United Kingdom
| | - Shalini Malhotra
- Early Cancer Institute, University of Cambridge , Cambridge , United Kingdom
| | | | - Ginny Devonshire
- Cancer Research UK Cambridge Institute, University of Cambridge , Cambridge , United Kingdom
| | - Aisling Redmond
- Early Cancer Institute, University of Cambridge , Cambridge , United Kingdom
| | - David Wedge
- Manchester Cancer Research Centre, University of Manchester , Manchester , United Kingdom
| | - Rebecca Fitzgerald
- Early Cancer Institute, University of Cambridge , Cambridge , United Kingdom
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11
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Davey N, Fitzgerald R, Fauzi MYBM, Khan MA, O'Donnell N, Kumar S, Bambrick P, Pope G, Mulcahy R, Cooke J, O'Regan N. 295 SPEP IT UP! DEVELOPING AN ALGORITHM FOR ABNORMAL SERUM PLASMA ELECTROPHORESIS RESULTS IN HIP FRACTURE PATIENTS. Age Ageing 2022. [DOI: 10.1093/ageing/afac218.259] [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
Hip fracture is a common manifestation of osteoporosis. All patients who sustain a hip fracture should receive a specialist bone health assessment, including Serum Protein Electrophoresis (SPEP) because plasma cell disorders such as multiple myeloma are an important differential diagnosis. SPEP results can be challenging to interpret without training and expertise. We aimed to review the proportion of abnormal SPEP results in hip fracture patients and used a newly developed algorithm to assess urgency of referral to haematology.
Methods
The Orthogeriatrics and Haematology teams collaborated to develop an algorithm to help facilitate decision making in hip fracture patients with abnormal SPEP results. A retrospective study was then conducted using data from the local Hip Fracture Database from Quarters 1 and 3 in 2020, and the hospital electronic laboratory system. The algorithm was used to retrospectively determine which patients warranted haematology review. The electronic appointment system was then accessed to review whether those who warranted haematology referral had appointments on the system.
Results
Of 270 hip fracture presentations, 19 duplicate records were excluded. Five patients had no data and three patients had passed away. Of the remaining 243 patients, 193 (79.42%) had SPEP’s sent. Abnormalities were detected in 116 patients (47.74%). According to the SPEP referral pathway, two patients warranted routine referral and one patient required an urgent referral, none of whom appeared to have been referred to haematology. Two patients who did not warrant haematology referral were already under haematology for different conditions.
Conclusion
Not all patients who sustain acute osteoporotic fractures with an abnormal SPEP result require haematology referral. The need for an urgent or routine haematology can be guided by the SPEP result along with other clinical features. With the introduction of this pathway, it is proposed that all hip fracture patients will be triaged in a timely, appropriate, and consistent manner.
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Affiliation(s)
- N Davey
- University Hospital Waterford , Waterford, Ireland
| | - R Fitzgerald
- University Hospital Waterford , Waterford, Ireland
| | - MYBM Fauzi
- University Hospital Waterford , Waterford, Ireland
| | - MA Khan
- University Hospital Waterford , Waterford, Ireland
| | - N O'Donnell
- University Hospital Waterford , Waterford, Ireland
| | - S Kumar
- University Hospital Waterford , Waterford, Ireland
| | - P Bambrick
- University Hospital Waterford , Waterford, Ireland
| | - G Pope
- University Hospital Waterford , Waterford, Ireland
| | - R Mulcahy
- University Hospital Waterford , Waterford, Ireland
| | - J Cooke
- University Hospital Waterford , Waterford, Ireland
| | - N O'Regan
- University Hospital Waterford , Waterford, Ireland
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12
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Breininger SP, Izadi F, Sharpe B, Secrier M, Gibson J, Walker R, Rahman S, Devonshire G, Lloyd M, Walters Z, Fitzgerald R, Rose-Zerilli M, Underwood T. O086 Genomic analysis of response to neoadjuvant chemotherapy in oesophageal adenocarcinoma. Br J Surg 2022. [DOI: 10.1093/bjs/znac242.086] [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: 11/06/2022]
Abstract
Abstract
Introduction
Oesophageal adenocarcinoma (OAC) is the ninth most common cancer worldwide with a mortality of over 500,000 deaths yearly. Neoadjuvant chemotherapy (NAC) followed by surgery is the standard of care (SOC) for locally advanced OAC. Although almost all patients receive chemotherapy as SOC, fewer than 20% obtain a clinically meaningful response and benefit before surgery. The OAC genome is complex and heterogeneous between patients, and it is not yet understood whether specific mutational patterns result in chemotherapy sensitivity or resistance.
Methods
To identify associations between genomic events and response to NAC in OAC, a comparative genomic analysis was performed in 65 patients using whole-genome sequencing. We defined response to NAC using Mandard Tumour Regression Grade TRG), with responders classified as TRG1-2 (n=27) and non-responders classified as TRG4- 5 (n=38).
Results
We report a higher non-synonymous mutation burden in responders (median 2.08/Mb vs 1.70/Mb, P=0.036) and elevated copy number variation (CNV) in non-responders (282 vs 136/patient, P<0.001). We identified CNVs unique to each group, with cell cycle (CDKN2A, CCND1), c-Myc (MYC), RTK/PIK3 (KRAS, EGFR) and gastrointestinal differentiation (GATA6) pathway genes being specifically altered in non-responders. Of particular interest was the identification of the Neuron Navigator-3 (NAV3), a known tumour suppressor downstream of EGFR, which was mutated exclusively in 22% of non-responders.
Conclusion
We characterise genetic features and mutations that are uniquely associated with response to NAC. We envision a treatment pipeline that incorporates driver mutation profiling in OAC, combining response prediction with targeted therapies enhancing response to NAC and improving survival outcomes.
Take-home message
Developing a method of determining an OAC patient's response to neoadjuvant chemotherapy before treatment is administered is desperately needed and will improve patient outcome and quality of life. We identified a number of aberrations in the genome that were unique to non-responders to chemotherapy compared to responders, particularly a known tumour suppressor gene namely Neuron Navigator-3, suggesting that these events may contribute to chemoresistance in these patients. Our work characterises pre-existing genomic alterations that have potential as biomarkers for resistance or sensitivity to NAC.
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Affiliation(s)
- SP Breininger
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
| | - F Izadi
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
- Centre for NanoHealth, Swansea University Medical School , Singleton Campus, Swansea
| | - B Sharpe
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
- Institute for Life Sciences, University of Southampton
| | - M Secrier
- UCL Genetics Institute, Division of Biosciences, University College London
| | - J Gibson
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
- Institute for Life Sciences, University of Southampton
| | - R Walker
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
| | - S Rahman
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
| | - G Devonshire
- Cancer Research UK Cambridge Institute, University of Cambridge
| | - M Lloyd
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
| | - Z Walters
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
- Institute for Life Sciences, University of Southampton
| | - R Fitzgerald
- MRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge
| | - M Rose-Zerilli
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
- Institute for Life Sciences, University of Southampton
| | - T Underwood
- School of Cancer Sciences, Cancer Research UK Centre, Faculty of Medicine, University of Southampton, Southampton General Hospital , Southampton
- Institute for Life Sciences, University of Southampton
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13
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Hughes R, Elliott RJR, Li X, Munro AF, Makda A, Carter RN, Morton NM, Fujihara K, Clemons NJ, Fitzgerald R, O’Neill JR, Hupp T, Carragher NO. Multiparametric High-Content Cell Painting Identifies Copper Ionophores as Selective Modulators of Esophageal Cancer Phenotypes. ACS Chem Biol 2022; 17:1876-1889. [PMID: 35696676 PMCID: PMC9295120 DOI: 10.1021/acschembio.2c00301] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Esophageal adenocarcinoma is of increasing global concern due to increasing incidence, a lack of effective treatments, and poor prognosis. Therapeutic target discovery and clinical trials have been hindered by the heterogeneity of the disease, the lack of "druggable" driver mutations, and the dominance of large-scale genomic rearrangements. We have previously undertaken a comprehensive small-molecule phenotypic screen using the high-content Cell Painting assay to quantify the morphological response to a total of 19,555 small molecules across a panel of genetically distinct human esophageal cell lines to identify new therapeutic targets and small molecules for the treatment of esophageal adenocarcinoma. In this current study, we report for the first time the dose-response validation studies for the 72 screening hits from the target-annotated LOPAC and Prestwick FDA-approved compound libraries and the full list of 51 validated esophageal adenocarcinoma-selective small molecules (71% validation rate). We then focus on the most potent and selective hit molecules, elesclomol, disulfiram, and ammonium pyrrolidinedithiocarbamate. Using a multipronged, multitechnology approach, we uncover a unified mechanism of action and a vulnerability in esophageal adenocarcinoma toward copper-dependent cell death that could be targeted in the future.
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Affiliation(s)
- Rebecca
E. Hughes
- Cancer
Research UK Edinburgh Centre, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XR, U.K.
| | - Richard J. R. Elliott
- Cancer
Research UK Edinburgh Centre, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XR, U.K.
| | - Xiaodun Li
- MRC
Cancer Unit, Hutchison-MRC Research Centre, University of Cambridge, Cambridge CB2 0XZ, U.K.
| | - Alison F. Munro
- Cancer
Research UK Edinburgh Centre, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XR, U.K.
| | - Ashraff Makda
- Cancer
Research UK Edinburgh Centre, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XR, U.K.
| | - Roderick N. Carter
- Centre
for Clinical Brain Sciences, Chancellors Building, University of Edinburgh, Edinburgh EH16 4SB, U.K.
- Centre
for Cardiovascular Science, The Queen’s
Medical Research Institute, Edinburgh BioQuarter, Edinburgh EH16 4TJ, U.K.
| | - Nicholas M. Morton
- Centre
for Cardiovascular Science, The Queen’s
Medical Research Institute, Edinburgh BioQuarter, Edinburgh EH16 4TJ, U.K.
| | - Kenji Fujihara
- Gastrointestinal
Cancer Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne 3000, Victoria, Australia
- Sir Peter
MacCallum Department of Oncology, The University
of Melbourne, Parkville 3010, Victoria, Australia
| | - Nicholas J. Clemons
- Gastrointestinal
Cancer Program, Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne 3000, Victoria, Australia
- Sir Peter
MacCallum Department of Oncology, The University
of Melbourne, Parkville 3010, Victoria, Australia
| | - Rebecca Fitzgerald
- Early
Cancer Institute, Hutchison Research Centre, University of Cambridge, Cambridge CB2 0XZ, U.K.
| | - J. Robert O’Neill
- Cambridge
Oesophagogastric Centre, Cambridge University
Hospitals Foundation Trust, Cambridge CB2 2QQ, U.K.
| | - Ted Hupp
- Cancer
Research UK Edinburgh Centre, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XR, U.K.
| | - Neil O. Carragher
- Cancer
Research UK Edinburgh Centre, Institute of Genetics & Cancer, The University of Edinburgh, Western General Hospital, Edinburgh EH4 2XR, U.K.
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14
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Fitzgerald R. Abstract PL01-03: From population to personalized prevention: Lessons from Barrett's esophagus. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-pl01-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Cancer medicine is undergoing a radical shift away from a reactive approach in patients presenting with symptomatic disease towards a more proactive approach aimed at early diagnosis, including at the pre-cancerous stage. Oesophageal adenocarcinoma develops gradually from the pre-malignant condition Barrett’s oesophagus which presents an opportunity to radically improve outcomes from this highly aggressive cancer. Work to unravel the: clinical-demographic and inherited risk factors; the cell of origin of this disease; and the molecular landscape of Barrett’s samples over time and space, in patients with different outcomes, is shedding light on the disease pathogenesis. Our improved understanding of the disease can be used to develop novel approaches to risk-based population screening and personalised prevention. One emerging paradigm is a triage system that comprises a risk assessment, followed by targeted screening using novel non-endoscopic detection devices coupled with molecular biomarkers to identify individuals at high risk of invasive cancer needing monitoring or preventative treatment. In patients with a Barrett’s lesion undergoing monitoring, molecular strategies can further distinguish between those with indolent disease versus those likely to progress. As we redesign clinical pathways for this disease we must be sure to maximise patient and clinician acceptability, affordability and ease of access to a given technology while balancing the risks for over-diagnosis and over-treatment.
Citation Format: Rebecca Fitzgerald. From population to personalized prevention: Lessons from Barrett's esophagus [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr PL01-03.
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15
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Ong JS, An J, Han X, Law MH, Nandakumar P, Schumacher J, Gockel I, Bohmer A, Jankowski J, Palles C, Olsen CM, Neale RE, Fitzgerald R, Thrift AP, Vaughan TL, Buas MF, Hinds DA, Gharahkhani P, Kendall BJ, MacGregor S. Multitrait genetic association analysis identifies 50 new risk loci for gastro-oesophageal reflux, seven new loci for Barrett's oesophagus and provides insights into clinical heterogeneity in reflux diagnosis. Gut 2022; 71:1053-1061. [PMID: 34187846 PMCID: PMC9120377 DOI: 10.1136/gutjnl-2020-323906] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 06/13/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Gastro-oesophageal reflux disease (GERD) has heterogeneous aetiology primarily attributable to its symptom-based definitions. GERD genome-wide association studies (GWASs) have shown strong genetic overlaps with established risk factors such as obesity and depression. We hypothesised that the shared genetic architecture between GERD and these risk factors can be leveraged to (1) identify new GERD and Barrett's oesophagus (BE) risk loci and (2) explore potentially heterogeneous pathways leading to GERD and oesophageal complications. DESIGN We applied multitrait GWAS models combining GERD (78 707 cases; 288 734 controls) and genetically correlated traits including education attainment, depression and body mass index. We also used multitrait analysis to identify BE risk loci. Top hits were replicated in 23andMe (462 753 GERD cases, 24 099 BE cases, 1 484 025 controls). We additionally dissected the GERD loci into obesity-driven and depression-driven subgroups. These subgroups were investigated to determine how they relate to tissue-specific gene expression and to risk of serious oesophageal disease (BE and/or oesophageal adenocarcinoma, EA). RESULTS We identified 88 loci associated with GERD, with 59 replicating in 23andMe after multiple testing corrections. Our BE analysis identified seven novel loci. Additionally we showed that only the obesity-driven GERD loci (but not the depression-driven loci) were associated with genes enriched in oesophageal tissues and successfully predicted BE/EA. CONCLUSION Our multitrait model identified many novel risk loci for GERD and BE. We present strong evidence for a genetic underpinning of disease heterogeneity in GERD and show that GERD loci associated with depressive symptoms are not strong predictors of BE/EA relative to obesity-driven GERD loci.
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Affiliation(s)
- Jue-Sheng Ong
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Jiyuan An
- School of Biology & Environmental Science, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Xikun Han
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Matthew H Law
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | | | - Johannes Schumacher
- Institute of Human Genetics, Philipps University of Marburg, Marburg, Germany
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - Anne Bohmer
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Janusz Jankowski
- Centre for Medicine and Health Sciences, University of United Arab Emirates, Al Ain, Abu Dhabi, UAE
- UCL Medical School, University College London, London, UK
| | - Claire Palles
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Catherine M Olsen
- Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | | | - Aaron P Thrift
- Department of Medicine, and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Thomas L Vaughan
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
| | - Matthew F Buas
- Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | | | - Puya Gharahkhani
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Bradley J Kendall
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
- Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Stuart MacGregor
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
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16
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Jalian HR, Fitzgerald R, Bowen B, Gamio S. Submental Fat Reduction Using Sequential Treatment Approach with Cryolipolysis and ATX‐101. J Cosmet Dermatol 2022; 21:2437-2444. [PMID: 35278262 PMCID: PMC9325515 DOI: 10.1111/jocd.14909] [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: 10/19/2021] [Revised: 02/11/2022] [Accepted: 03/04/2022] [Indexed: 11/29/2022]
Abstract
Background Submental fat (SMF) detracts from facial aesthetics and negatively impacts self‐image. Aims To evaluate safety, effectiveness, and satisfaction of cryolipolysis and ATX‐101 used sequentially to reduce SMF. Methods A prospective, open‐label, interventional, single‐site study enrolling 22‐ to 65‐year‐old participants rated as Grade 4 (extreme) on the Clinician‐Rated SMF Rating Scale (CR‐SMFRS). Co‐primary effectiveness endpoints were proportions of participants with ≥1‐grade and ≥2‐grade improvement on CR‐SMFRS at 12 weeks post final treatment. Additional assessments included ultrasound measurement of fat thickness and Subject Self‐Rating Scale (SSRS) scores at 12 weeks post final treatment. Safety was assessed throughout the study. Results Of 16 enrolled participants, 62.5% were female, mean age of 43, and mean body mass index of 31.8 kg/m2. 100% of participants achieved ≥1‐grade improvement, and 71.4% achieved ≥2‐grade CR‐SMFRS improvement. Mean (SD) reduction in SMF thickness was 0.2 mm (1.3), and SSRS scores ≥4 (slightly to extremely satisfied) were reported by 71.4% of participants. Adverse events (AEs) were mild and resolved by study end. No unanticipated adverse device effects or serious or unexpected AEs occurred. Conclusion Sequential treatment with cryolipolysis and ATX‐101 was found safe and effective for reducing extreme SMF, resulting in approximately a 2‐grade improvement.
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17
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Costigan H, Delaby L, Walsh S, Fitzgerald R, Kennedy E. The effect of weaning age and post-weaning feeding regime on growth and fertility of pasture-based Holstein-Friesian and Jersey dairy heifers. Livest Sci 2022. [DOI: 10.1016/j.livsci.2021.104812] [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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18
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Milella M, Luchini C, Lawlor RT, Johns AL, Casolino R, Yoshino T, Biankin AV, Biankin AV, Stein LD, Park K, Lawlor RT, Johns AL, Korbel JO, Zeps N, Rubin MA, Marra MA, Elemento O, Gallinger S, Tuveson D, Trumper L, Koch R, Scarpa A, Brennan P, Pilarsky C, Nikolaev S, Yoon SS, Lee ES, Shibata T, Wu X, Wu J, Zhan Q, Poon W, Yoshino T, Al-Kuraya KS, Eeles R, Fitzgerald R, Caldas C, Abraham J, Chang DK. ICGC-ARGO precision medicine: familial matters in pancreatic cancer. Lancet Oncol 2022; 23:25-26. [DOI: 10.1016/s1470-2045(21)00703-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/02/2021] [Accepted: 12/03/2021] [Indexed: 11/28/2022]
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19
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Breininger S, Izadi F, Sharpe B, Secrier M, Gibson J, Walker R, Rahman S, Devonshire G, Lloyd M, Walters Z, Fitzgerald R, Rose-Zerilli M, Underwood T. O-OGC06 Genomic analysis of response to neoadjuvant chemotherapy in oesophageal adenocarcinoma. Br J Surg 2021. [DOI: 10.1093/bjs/znab429.038] [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]
Abstract
Abstract
Background
Oesophageal adenocarcinoma (OAC) is the ninth most common cancer worldwide, with an estimated mortality of over 500,000 deaths yearly. Neoadjuvant chemotherapy (NAC) followed by surgery is the standard of care (SOC) for locally advanced OAC. Although almost all patients receive chemotherapy as SOC, fewer than 20% obtain a clinically meaningful response and benefit before surgery. The OAC genome is complex and heterogeneous between patients, and it is not yet understood whether specific mutational patterns may result in chemotherapy sensitivity or resistance.
Methods
To identify associations between genomic events and response to NAC in OAC, a comparative genomic analysis was performed in 65 patients using whole-genome sequencing. We defined response to NAC using Mandard Tumour Regression Grade (TRG), with responders classified as TRG1-2 (n = 27) and non-responders classified as TRG4-5 (n = 38).
Results
We report a higher non-synonymous mutation burden in responders (median 2.08/Mb vs 1.70/Mb, P = 0.036) and elevated copy number variation (CNV) in non-responders (282 vs 136/patient, P<0.001). We identified CNVs unique to each group, with cell cycle (CDKN2A, CCND1), c-Myc (MYC), RTK/PIK3 (KRAS, EGFR) and gastrointestinal differentiation (GATA6) pathway genes being specifically altered in non-responders. Of particular interest was the identification of the Neuron Navigator-3 (NAV3), a known tumour suppressor downstream of EGFR, which was mutated exclusively in non-responders with a frequency of 22%.
Conclusions
Our work characterises genetic features and mutations that are uniquely associated with response to NAC. We envision a treatment pipeline that incorporates driver mutation profiling in OAC, combining response prediction with targeted therapies to enhance response to NAC and improve survival outcomes.
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Affiliation(s)
| | | | | | | | - Jane Gibson
- University of Southampton, Southampton, United Kingdom
| | - Robert Walker
- University of Southampton, Southampton, United Kingdom
| | - Saqib Rahman
- University of Southampton, Southampton, United Kingdom
| | | | - Megan Lloyd
- University of Southampton, Southampton, United Kingdom
| | - Zoë Walters
- University of Southampton, Southampton, United Kingdom
| | | | | | - Tim Underwood
- University of Southampton, Southampton, United Kingdom
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20
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Katz-Summercorn A, Jammula S, Frangou A, Peneva I, O'Donovan M, Tripathi M, Malhotra S, Pietro MD, Abbas S, Devonshire G, Januszewicz W, Blasko A, Nowicki-Osuch K, MacRae S, Northrop A, Redmond A, Wedge D, Fitzgerald R. P-OGC44 Multi-omic cohort study of Barrett’s oesophagus reveals structural variation and retrotransposon activity to occur early in cancer evolution. Br J Surg 2021. [DOI: 10.1093/bjs/znab430.172] [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]
Abstract
Abstract
Background
Barrett’s oesophagus (BE) is the main risk factor for the development of oesophageal adenocarcinoma (OAC), yet few patients ever go on to progress to cancer. The acquisition of events during the metaplasia-dysplasia-cancer sequence is poorly characterised. We present a large, unbiased, multi-omics analysis of a cross-sectional cohort of pre-cancer samples, with the aim of providing a comprehensive insight into the diversity and molecular changes driving the disease to cancer.
Methods
We generated and integrated the genomic (50x), transcriptomic and epigenomic (850K EPIC array) landscapes of snap-frozen endoscopic biopsies from 146 patients with a range of outcomes (27 long-standing non-dysplastic; 12 prior to progression to dysplasia; 14 low-grade; 25 high-grade; 21 intramucosal carcinoma; 47 cases of BE taken adjacent to OAC) and 642 person years of follow-up. All biopsies were reviewed independently by 3 pathologists and had associated annotation with detailed clinical information.
Results
The total number of structural variants (SV) captured the most variance between samples. Complex SVs and LINE-1 retrotransposon activity were observed even before dysplasia had developed and increased with progression. Increasing SV burden was associated with chromothripsis (12%, 18/146) and breakage-fusion bridges (BFBs; 8%, 13/146). In more than 50% of these, the BFBs were in chromosome 17, harbouring the oncogenes ERBB2 and CDK12, for which expression was significantly higher. With progression there was increased expression of genes related to cell-cycle checkpoint, DNA repair and chromosomal instability, and the epigenetic silencing of genes in WNT-signalling and cell-cycle pathways.
Conclusions
Genomic complexity occurs very early in the natural history of BE and increasing genomic instability appears to tip the balance towards cancer. This may inform the potential for progression to cancer beyond the clinically discernible phenotype. Efforts to better understand the triggers for chromosomal breakages and rearrangements that underly progression will aid clinical prediction and prevention strategies.
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Affiliation(s)
| | - Sriganesh Jammula
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Anna Frangou
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Iliana Peneva
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Maria O'Donovan
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Monika Tripathi
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Shalini Malhotra
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | | | - Shujath Abbas
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Ginny Devonshire
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | | | - Adrienn Blasko
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Karol Nowicki-Osuch
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Shona MacRae
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Alex Northrop
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Aisling Redmond
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - David Wedge
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
| | - Rebecca Fitzgerald
- Hutchison/MRC Research Centre, University of Cambridge, Cambridge, United Kingdom
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21
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Antonowicz S, Abbassi-Ghadi N, Bodai Z, Wiggins T, Markar S, Boshier P, Goh YM, Adam M, Lu H, Kudo H, Rosini F, Goldin R, Moralli D, Green C, Peters C, Habib N, Gabra H, Fitzgerald R, Takats Z, Hanna G. P-OGC39 The smell of oesophageal adenocarcinoma: opportunities for tests and treatments. Br J Surg 2021. [DOI: 10.1093/bjs/znab430.167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Background
Exhaled breath analysis is a promising approach for oesophageal adenocarcinoma (OAC) early detection. The biomarkers of interest are low molecular weight metabolites including volatile aldehydes. In this translational study we investigated whether these metabolites originated from a tumoral source, and how this might impact the diagnosis and treatment of OAC patients.
Methods
The investigative strategy was directed by an unbiased informatics screen of metabolic reprogramming in OAC, and validated using complimentary gene expression assays (n = 638, including controls). Mass spectrometric methods were used to quantify corresponding metabolites and putative source compounds at a tissue level (n = 158), and also in exhaled breath for correlative purposes. Targeted in vitro experiments were performed to demonstrate the cause and effect of the proposed model of metabolic reprogramming in OAC.
Results
The unbiased screen and subsequent validation found that reduced aldehyde detoxification is an OAC hallmark. In vitro and in vivo this was associated with endogenous aldehyde accumulation. OAC tissue was generally enriched for volatile aldehydes, including the genotoxins formaldehyde, acetaldehyde, 4-hydroxy-2-nonenal and 2-butenal, and the exhaled biomarker decanal (all P < 0.0001). Decanal concentrations correlated with exhaled concentrations. Considering potential aldehyde sources, the OAC phospholipidome was characterised by desaturated and longer lipid acyls, and these spontaneously generated biomarker aldehyde species at ambient conditions. Enriched genotoxic aldehydes were detectable in base-pairing positions in DNA; this genotoxicity was therapeutically targetable with aldehyde scavengers in vitro.
Conclusions
These data support a model for enriched exhaled aldehydes based on increased production from an altered lipid phenotype, and reduced detoxification. Some aldehydes are non-reactive and thus support non-invasive detection. Others react with DNA and increase local genotoxicity; this process is druggable. These findings have implications for OAC early diagnosis and chemoprevention.
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Affiliation(s)
| | - Nima Abbassi-Ghadi
- Imperial College London, London, United Kingdom
- Royal Surrey County Hospital, Guildford, United Kingdom
| | - Zsolt Bodai
- Imperial College London, London, United Kingdom
| | - Tom Wiggins
- Imperial College London, London, United Kingdom
- University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | | | | | - Yan Mei Goh
- Imperial College London, London, United Kingdom
| | - Mina Adam
- Imperial College London, London, United Kingdom
| | - Haonan Lu
- Imperial College London, London, United Kingdom
| | - Hiromi Kudo
- Imperial College London, London, United Kingdom
| | | | | | | | | | | | - Nagy Habib
- Imperial College London, London, United Kingdom
| | - Hani Gabra
- Imperial College London, London, United Kingdom
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22
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Duckers J, Fitzgerald R, Proud D, Addy C, Datta D. Forewarned is forearmed: The cardiovascular time bomb in Cystic Fibrosis. J Cyst Fibros 2021; 21:551-552. [PMID: 34903495 DOI: 10.1016/j.jcf.2021.11.008] [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] [Received: 09/07/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022]
Affiliation(s)
- J Duckers
- Cardiff and Vale University Health Board, Wales, United Kingdom.
| | | | - D Proud
- Cardiff and Vale University Health Board, Wales, United Kingdom
| | - C Addy
- Cardiff and Vale University Health Board, Wales, United Kingdom
| | - D Datta
- Cardiff and Vale University Health Board, Wales, United Kingdom
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23
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Almukhtar R, Fitzgerald R, Cotofana S, Fabi S. Migration of Hyaluronic Acid-Based Soft Tissue Filler From the Temples to the Cheeks-An Anatomic Explanation. Dermatol Surg 2021; 47:1526-1527. [PMID: 34417376 DOI: 10.1097/dss.0000000000003219] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
| | | | - Sebastian Cotofana
- Department of Clinical Anatomy, Mayo Clinic College of Medicine and Science, Rochester, Minnesota
| | - Sabrina Fabi
- Cosmetic Laser Dermatology, San Diego, California
- Department of Dermatology, University of California, San Diego
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24
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Schwarzschild MA, Ascherio A, Casaceli C, Curhan GC, Fitzgerald R, Kamp C, Lungu C, Macklin EA, Marek K, Mozaffarian D, Oakes D, Rudolph A, Shoulson I, Videnovic A, Scott B, Gauger L, Aldred J, Bixby M, Ciccarello J, Gunzler SA, Henchcliffe C, Brodsky M, Keith K, Hauser RA, Goetz C, LeDoux MS, Hinson V, Kumar R, Espay AJ, Jimenez-Shahed J, Hunter C, Christine C, Daley A, Leehey M, de Marcaida JA, Friedman JH, Hung A, Bwala G, Litvan I, Simon DK, Simuni T, Poon C, Schiess MC, Chou K, Park A, Bhatti D, Peterson C, Criswell SR, Rosenthal L, Durphy J, Shill HA, Mehta SH, Ahmed A, Deik AF, Fang JY, Stover N, Zhang L, Dewey RB, Gerald A, Boyd JT, Houston E, Suski V, Mosovsky S, Cloud L, Shah BB, Saint-Hilaire M, James R, Zauber SE, Reich S, Shprecher D, Pahwa R, Langhammer A, LaFaver K, LeWitt PA, Kaminski P, Goudreau J, Russell D, Houghton DJ, Laroche A, Thomas K, McGraw M, Mari Z, Serrano C, Blindauer K, Rabin M, Kurlan R, Morgan JC, Soileau M, Ainslie M, Bodis-Wollner I, Schneider RB, Waters C, Ratel AS, Beck CA, Bolger P, Callahan KF, Crotty GF, Klements D, Kostrzebski M, McMahon GM, Pothier L, Waikar SS, Lang A, Mestre T. Effect of Urate-Elevating Inosine on Early Parkinson Disease Progression: The SURE-PD3 Randomized Clinical Trial. JAMA 2021; 326:926-939. [PMID: 34519802 PMCID: PMC8441591 DOI: 10.1001/jama.2021.10207] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 06/05/2021] [Indexed: 01/13/2023]
Abstract
Importance Urate elevation, despite associations with crystallopathic, cardiovascular, and metabolic disorders, has been pursued as a potential disease-modifying strategy for Parkinson disease (PD) based on convergent biological, epidemiological, and clinical data. Objective To determine whether sustained urate-elevating treatment with the urate precursor inosine slows early PD progression. Design, Participants, and Setting Randomized, double-blind, placebo-controlled, phase 3 trial of oral inosine treatment in early PD. A total of 587 individuals consented, and 298 with PD not yet requiring dopaminergic medication, striatal dopamine transporter deficiency, and serum urate below the population median concentration (<5.8 mg/dL) were randomized between August 2016 and December 2017 at 58 US sites, and were followed up through June 2019. Interventions Inosine, dosed by blinded titration to increase serum urate concentrations to 7.1-8.0 mg/dL (n = 149) or matching placebo (n = 149) for up to 2 years. Main Outcomes and Measures The primary outcome was rate of change in the Movement Disorder Society Unified Parkinson Disease Rating Scale (MDS-UPDRS; parts I-III) total score (range, 0-236; higher scores indicate greater disability; minimum clinically important difference of 6.3 points) prior to dopaminergic drug therapy initiation. Secondary outcomes included serum urate to measure target engagement, adverse events to measure safety, and 29 efficacy measures of disability, quality of life, cognition, mood, autonomic function, and striatal dopamine transporter binding as a biomarker of neuronal integrity. Results Based on a prespecified interim futility analysis, the study closed early, with 273 (92%) of the randomized participants (49% women; mean age, 63 years) completing the study. Clinical progression rates were not significantly different between participants randomized to inosine (MDS-UPDRS score, 11.1 [95% CI, 9.7-12.6] points per year) and placebo (MDS-UPDRS score, 9.9 [95% CI, 8.4-11.3] points per year; difference, 1.26 [95% CI, -0.59 to 3.11] points per year; P = .18). Sustained elevation of serum urate by 2.03 mg/dL (from a baseline level of 4.6 mg/dL; 44% increase) occurred in the inosine group vs a 0.01-mg/dL change in serum urate in the placebo group (difference, 2.02 mg/dL [95% CI, 1.85-2.19 mg/dL]; P<.001). There were no significant differences for secondary efficacy outcomes including dopamine transporter binding loss. Participants randomized to inosine, compared with placebo, experienced fewer serious adverse events (7.4 vs 13.1 per 100 patient-years) but more kidney stones (7.0 vs 1.4 stones per 100 patient-years). Conclusions and Relevance Among patients recently diagnosed as having PD, treatment with inosine, compared with placebo, did not result in a significant difference in the rate of clinical disease progression. The findings do not support the use of inosine as a treatment for early PD. Trial Registration ClinicalTrials.gov Identifier: NCT02642393.
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Affiliation(s)
- Michael A Schwarzschild
- Mass General Institute for Neurodegenerative Disease, Boston, Massachusetts
- Massachusetts General Hospital, Boston
| | | | | | | | - Rebecca Fitzgerald
- Parkinson's Foundation Research Advocates, Parkinson's Foundation, New York, New York
| | | | - Codrin Lungu
- Division of Clinical Research, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Eric A Macklin
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Kenneth Marek
- Institute for Neurodegenerative Disorders, New Haven, Connecticut
| | - Dariush Mozaffarian
- Tufts School of Medicine and Division of Cardiology, Tufts Medical Center, Boston, Massachusetts
- Friedman School of Nutrition Science and Policy, Boston, Massachusetts
| | - David Oakes
- University of Rochester, Rochester, New York
| | | | - Ira Shoulson
- Department of Neurology, University of Rochester Medical Center, Rochester, New York
| | | | | | | | - Jason Aldred
- Inland Northwest Research, Spokane, Washington
- Selkirk Neurology, Spokane, Washington
| | | | | | | | - Claire Henchcliffe
- University of California, Irvine
- Weill Cornell Medical College, New York, New York
| | | | | | | | | | | | | | - Rajeev Kumar
- Rocky Mountain Movement Disorders Center, Englewood, Colorado
| | | | | | | | | | | | | | | | | | | | | | | | - David K Simon
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Tanya Simuni
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Cynthia Poon
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Mya C Schiess
- The University of Texas Health Science Center, Houston McGovern Medical School, Houston
| | | | - Ariane Park
- The Ohio State University Wexner Medical Center, Columbus
| | | | | | - Susan R Criswell
- Washington University School of Medicine in St Louis, St Louis, Missouri
| | | | | | - Holly A Shill
- Banner Sun Health Research Institute, Sun City, Arizona
- University of Arizona School of Medicine-Phoenix
| | | | | | | | - John Y Fang
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | - Ashley Gerald
- University of Texas Southwestern Medical Center, Dallas
| | | | | | | | | | - Leslie Cloud
- VCU Parkinson's & Movement Disorders Center, Richmond, Virginia
| | | | | | | | | | - Stephen Reich
- University of Maryland School of Medicine, Baltimore
| | - David Shprecher
- Banner Sun Health Research Institute, Sun City, Arizona
- University of Arizona School of Medicine-Phoenix
| | - Rajesh Pahwa
- University of Kansas Medical Center, Kansas City
| | | | - Kathrin LaFaver
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Peter A LeWitt
- Henry Ford Hospital-West Bloomfield, West Bloomfield Township, Michigan
| | - Patricia Kaminski
- Henry Ford Hospital-West Bloomfield, West Bloomfield Township, Michigan
| | | | | | | | | | - Karen Thomas
- Sentara Neurology Specialists, Norfolk, Virginia
| | - Martha McGraw
- Center for Movement Disorders and Neurodegenerative Disease, Northwestern Medicine/Central DuPage Hospital, Winfield, Illinois
| | - Zoltan Mari
- Cleveland Clinic-Las Vegas, Las Vegas, Nevada
| | | | | | - Marcie Rabin
- Atlantic Neuroscience Institute, Summit, New Jersey
| | - Roger Kurlan
- Atlantic Neuroscience Institute, Summit, New Jersey
| | | | - Michael Soileau
- Texas Movement Disorder Specialists, Georgetown
- Scott & White Healthcare/Texas A&M University, Temple
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sushrut S Waikar
- Boston University School of Medicine, Boston, Massachusetts
- Boston Medical Center, Boston, Massachusetts
| | - Anthony Lang
- University of Toronto, Toronto, Ontario, Canada
- Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, Toronto, Ontario, Canada
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Suozzi KC, Kibbi N, Lee KC, Worley B, Furlan KC, Kang BY, Ibrahim SA, Poon E, Alam M, Harikumar V, Keimig EL, Alster TS, Bolotin D, Dover JS, Galadari H, Goodman GJ, Hexsel D, Kaminer MS, Kim JYS, Karen J, Lask G, Lewis AB, Maher IA, Paul BC, Negishi K, Touma DJ, Waldman A, Beer K, Bertucci V, Burgess CM, Casabona G, De Boulle KL, Fitzgerald R, Green JB, Goldman MP, Humphrey S, Ibrahim SF, Ibrahimi OA, Jagdeo J, Kim HS, Lawrence N, Marmur E, Matarasso SL, McDonald M, Obagi S, Ortiz AE, Philipp-Dormston WG, Rossi AM, Solish N, Taylor SC, Trindade de Almeida AR, Weinkle SH. Development of Objective Structured Assessment of Technical Skills in Facial Cosmetic Procedures: Botulinum Toxin Neuromodulator and Soft Tissue Filler Injection. J Am Acad Dermatol 2021; 86:463-467. [PMID: 34499988 DOI: 10.1016/j.jaad.2021.08.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 08/11/2021] [Accepted: 08/13/2021] [Indexed: 11/25/2022]
Affiliation(s)
- Kathleen C Suozzi
- Department of Dermatology, Yale School of Medicine, New Haven, CT, USA
| | - Nour Kibbi
- Department of Dermatology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Kachiu C Lee
- Main Line Center for Laser Surgery, Philadelphia, PA, USA
| | - Brandon Worley
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Karina C Furlan
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Bianca Y Kang
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sarah A Ibrahim
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Emily Poon
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Murad Alam
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Otolaryngology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | | | - Vishnu Harikumar
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Emily L Keimig
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Tina S Alster
- Washington Institute of Dermatologic Laser Surgery, Washington, DC, USA
| | - Diana Bolotin
- Section of Dermatology, The University of Chicago, Chicago, IL, USA
| | - Jeffrey S Dover
- Department of Dermatology, Yale School of Medicine, New Haven, CT, USA; Department of Dermatology, Alpert Medical School, Brown University, Providence, RI, USA; SkinCare Physicians, Chestnut Hill, MA, USA
| | - Hassan Galadari
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE
| | - Greg J Goodman
- Monash University, Melbourne, AUA; University College of London, London, UK
| | - Doris Hexsel
- Brazilian Center for Studies in Dermatology, Porto Alegre, GBR
| | - Michael S Kaminer
- Department of Dermatology, Yale School of Medicine, New Haven, CT, USA; SkinCare Physicians, Chestnut Hill, MA, USA
| | - John Y S Kim
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Gary Lask
- Department of Dermatology, University of California Los Angeles, Los Angeles, CA, USA; Department of Dermatology, University of Southern California, Los Angeles, CA, USA
| | | | - Ian A Maher
- Department of Dermatology, University of Minnesota Medical School, Minneapolis, MN, USA
| | | | - Kei Negishi
- Institute of Geriatrics, Tokyo Women's Medical University, Tokyo, JPN
| | | | - Abigail Waldman
- Department of Dermatology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Vince Bertucci
- Division of Dermatology, University of Toronto, Toronto, ON, CAN
| | - Cheryl M Burgess
- Center for Dermatology and Dermatologic Surgery, Washington, DC, USA
| | | | | | | | - Jeremy B Green
- Skin Associates of South Florida, Skin Research Institute, Coral Gables, FL, USA
| | - Mitchel P Goldman
- Cosmetic Laser Dermatology, A West Dermatology Company, San Diego, CA, USA
| | - Shannon Humphrey
- Department of Dermatology and Skin Science, University of British Columbia, Vancouver, BC, CAN
| | - Sherrif F Ibrahim
- Department of Dermatology, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Jared Jagdeo
- Department of Dermatology, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA; Dermatology Service, VA New York Harbor Healthcare System-Brooklyn Campus, Brooklyn, NY, USA
| | - Hei Sung Kim
- Department of Dermatology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, KOR
| | - Naomi Lawrence
- Division of Dermatology, Section of Procedural Dermatology, Cooper Hospital, Rowan University, Camden, NJ, USA
| | - Ellen Marmur
- Marmur Medical, Dermatology, New York, NY, USA; Department of Dermatology, The Mount Sinai Medical Center, New York, NY, USA
| | - Seth L Matarasso
- Department of Dermatology, University of California, San Francisco School of Medicine, San Francisco, CA, USA
| | - Michel McDonald
- Department of Dermatology, Vanderbilt University, Nashville, TN, USA
| | - Suzan Obagi
- Cosmetic Surgery & Skin Health Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Arisa E Ortiz
- Department of Dermatology, University of California, San Diego Health, La Jolla, CA, USA
| | - Wolfgang G Philipp-Dormston
- Faculty of Health, University Witten/Herdecke, Witten, DEU; Hautzentrum Koeln, Klinik Links vom Rhein, Cologne, DEU
| | - Anthony M Rossi
- Dermatology Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA
| | - Nowell Solish
- Division of Dermatology, University of Toronto, Toronto, ON, CAN
| | - Susan C Taylor
- Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | - Susan H Weinkle
- Department of Dermatology and Cutaneous Surgery, University of South Florida, Tampa, FL, USA
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Mukherjee S, O'Connor H, Harman R, O'Donovan M, Debiram-Beecham I, Alias B, Bailey A, Bateman A, de Caestecker J, Crosby T, Falk S, Gollins S, Hawkins M, Levy S, Radhakrishna G, Roy R, Sripadam R, Fitzgerald R. P-109 CYTOFLOC: Evaluation of a non-endoscopic immunocytological device (Cytosponge™) for post-chemo-radiotherapy surveillance in patients with oesophageal cancer – a feasibility study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.05.164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Lahart B, Shalloo L, Herron J, O'Brien D, Fitzgerald R, Boland TM, Buckley F. Greenhouse gas emissions and nitrogen efficiency of dairy cows of divergent economic breeding index under seasonal pasture-based management. J Dairy Sci 2021; 104:8039-8049. [PMID: 33934859 DOI: 10.3168/jds.2020-19618] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 02/23/2021] [Indexed: 12/14/2022]
Abstract
Greenhouse gas (GHG) emissions and nitrogen (N) efficiencies were modeled for 2 genetic groups (GG) of Holstein-Friesian cows across 3 contrasting feeding treatments (FT). The 2 GG were (1) high economic breeding index (EBI) animals representative of the top 5% of cows nationally (elite) and (2) EBI representative of the national average (NA). The FT represented (1) generous feeding of pasture, (2) a slight restriction in pasture allowance, and (3) a high-concentrate feeding system with adequate pasture allowance. Greenhouse gas and N balance models were parameterized using outputs generated from the Moorepark Dairy Systems model, a stochastic budgetary simulation model, having integrated biological data pertaining to the 6 scenarios (2 GG × 3 FT) obtained from a 4-yr experiment conducted between 2013 and 2016. On a per hectare basis, total system GHG emissions were similar for both elite and NA across the 3 FT. Per unit of product, however, the elite group had 10% and 11% lower GHG emissions per kilogram of fat- and protein-corrected milk and per kilogram of milk solids (MSO; fat + protein kg), respectively, compared with the NA across the 3 FT. The FT incorporating high concentrate supplementation had greater absolute GHG emissions per hectare as well as GHG per kilogram of fat- and protein-corrected milk and MSO. The elite group had a slightly superior N use efficiency (N output/N input) and lower N surplus (N input - N output) compared with the NA group. The high concentrate FT had an inferior N use efficiency and a higher N surplus. The results of the current study demonstrate that breeding for increased EBI will lead to a general improvement in GHG emissions per unit of product as well as improved N efficiency. The results also illustrate that reducing concentrate supplementation will reduce GHG emissions, GHG emissions intensity, while improving N efficiency in the context of pasture-based dairy production.
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Affiliation(s)
- B Lahart
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland; School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 N2E5, Ireland
| | - L Shalloo
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland
| | - J Herron
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland
| | - D O'Brien
- Crops, Environment, and Land Use Research Centre, Teagasc, Johnstown Castle, Co. Wexford, Y35 TC97, Ireland
| | - R Fitzgerald
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland
| | - T M Boland
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 N2E5, Ireland
| | - F Buckley
- Teagasc, Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, P61 C996, Ireland.
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Tseng FW, Bommareddy K, Frank K, DeLorenzi C, Green JB, Sadick N, Fitzgerald R, Onishi EC, Swift A, Cotofana S. Descriptive Analysis of 213 Positive Blood Aspiration Cases When Injecting Facial Soft Tissue Fillers. Aesthet Surg J 2021; 41:616-624. [PMID: 32504468 DOI: 10.1093/asj/sjaa075] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Pre-injection aspiration procedures could increase safety during soft tissue filler injections. However, various influencing factors have been detected in vitro that could result in false negative aspiration results. OBJECTIVE A case series was retrospectively investigated to identify factors contributing to positive blood aspiration procedures in vivo. METHODS This study evaluated 213 clinical cases positive for blood aspiration documented in an Asian population: 208 females (43.8 ± 7.2 years old) and 5 males (46.8 ± 7.8 years old) during soft tissue filler injections. Injection location, layer (depth) of injection, product injected, size of utilized needle (gauge), length of needle (inch), priming of needle (yes/no), injection angle (degree), and time until blood was visible in the needle hub (seconds) were evaluated. RESULTS The most frequent location where a positive aspiration was observed was the pyriform fossa (n = 56; 26.3%), the most frequent plane was the supra-periosteal plane (n = 195; 91.5%), and the most frequent needle utilized was a 27G needle (n = 125; 58.7%). Statistically significantly more positive cases were identified when the needle was primed compared with an unprimed needle (P < 0.001, which was independent of the product). The estimated incidence rate was 0.04% to 0.9% for having positive aspiration procedures per total performed injection procedures. CONCLUSIONS Pre-injection aspiration could be a valuable tool to prevent accidental intravascular injection of soft tissue filler. The results of the present investigation show that aspiration can be performed with an acceptable aspiration time, that is, less than 2 seconds, if a suitable product/needle combination is chosen. LEVEL OF EVIDENCE: 4
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29
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Jones DH, Fitzgerald R, Cox SE, Butterwick K, Murad MH, Humphrey S, Carruthers J, Dayan SH, Donofrio L, Solish N, Yee GJ, Alam M. Preventing and Treating Adverse Events of Injectable Fillers: Evidence-Based Recommendations From the American Society for Dermatologic Surgery Multidisciplinary Task Force. Dermatol Surg 2021; 47:214-226. [PMID: 33543879 DOI: 10.1097/dss.0000000000002921] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Derek H Jones
- Skin Care and Laser Physicians of Beverly Hills, Los Angeles, California
| | | | - Sue Ellen Cox
- Aesthetic Solutions, Assoc Clinical Faculty, UNC Department of Dermatology, Consulting Associate, Duke University Department Dermatology, Chapel Hill, North Carolina
| | | | - M Hassan Murad
- Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota
| | - Shannon Humphrey
- Department of Dermatology and Skin Science, University of British Columbia, Vancouver, Canada
| | - Jean Carruthers
- Department of Ophthalmology and Visual Sciences, University of British Columbia, Vancouver, Canada
| | - Steven H Dayan
- Denova Research, Clinical Assistant Professor, University of Illinois, Chicago, Illinois
| | - Lisa Donofrio
- Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut
| | - Nowell Solish
- Department of Dermatology, University of Toronto, Toronto, Canada
| | | | - Murad Alam
- Departments of Dermatology, Otolaryngology, and Surgery, Northwestern University, Chicago, Illinois
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30
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Ococks E, Ng A, Devonshire G, Dashner S, Chan WC, Sharma S, Wu HT, Redmond A, Northrop A, Grehan N, Sethi H, Zimmermann B, Smyth E, Aleshin A, Fitzgerald R. 370P Bespoke circulating tumour DNA assay for the detection of minimal residual disease in esophageal adenocarcinoma patients. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.594] [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: 10/22/2022] Open
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31
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Akdemir KC, Le VT, Kim JM, Killcoyne S, King DA, Lin YP, Tian Y, Inoue A, Amin SB, Robinson FS, Nimmakayalu M, Herrera RE, Lynn EJ, Chan K, Seth S, Klimczak LJ, Gerstung M, Gordenin DA, O'Brien J, Li L, Deribe YL, Verhaak RG, Campbell PJ, Fitzgerald R, Morrison AJ, Dixon JR, Andrew Futreal P. Somatic mutation distributions in cancer genomes vary with three-dimensional chromatin structure. Nat Genet 2020; 52:1178-1188. [PMID: 33020667 PMCID: PMC8350746 DOI: 10.1038/s41588-020-0708-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Accepted: 09/01/2020] [Indexed: 12/31/2022]
Abstract
Somatic mutations in driver genes may ultimately lead to the development of cancer. Understanding how somatic mutations accumulate in cancer genomes and the underlying factors that generate somatic mutations is therefore crucial for developing novel therapeutic strategies. To understand the interplay between spatial genome organization and specific mutational processes, we studied 3,000 tumor-normal-pair whole-genome datasets from 42 different human cancer types. Our analyses reveal that the change in somatic mutational load in cancer genomes is co-localized with topologically-associating-domain boundaries. Domain boundaries constitute a better proxy to track mutational load change than replication timing measurements. We show that different mutational processes lead to distinct somatic mutation distributions where certain processes generate mutations in active domains, and others generate mutations in inactive domains. Overall, the interplay between three-dimensional genome organization and active mutational processes has a substantial influence on the large-scale mutation-rate variations observed in human cancers.
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Affiliation(s)
- Kadir C Akdemir
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Victoria T Le
- Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Justin M Kim
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Division of Biology and Medicine, Brown University, Providence, RI, USA
| | - Sarah Killcoyne
- MRC Cancer Unit, Hutchison/MRC Research Center, University of Cambridge, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Devin A King
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Ya-Ping Lin
- Department of Ophthalmology and Visual Sciences, McGovern Medical School, The University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Yanyan Tian
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Akira Inoue
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Frederick S Robinson
- Translational Research to Advance Therapeutics and Innovation in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Manjunath Nimmakayalu
- Graduate Program in Diagnostic Genetics and Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Erica J Lynn
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kin Chan
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC, USA
- Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada
| | - Sahil Seth
- Translational Research to Advance Therapeutics and Innovation in Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- UT Health Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leszek J Klimczak
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC, USA
| | - Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Dmitry A Gordenin
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC, USA
| | - John O'Brien
- Department of Ophthalmology and Visual Sciences, McGovern Medical School, The University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Lei Li
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Life Science Institute, Zhejiiang University, Hangzhou, China
| | - Yonathan Lissanu Deribe
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Cardiovascular and Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Roel G Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Rebecca Fitzgerald
- MRC Cancer Unit, Hutchison/MRC Research Center, University of Cambridge, Cambridge, UK
| | | | - Jesse R Dixon
- Salk Institute for Biological Studies, La Jolla, CA, USA.
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Zaslona Z, Flis E, Nulty C, Kearney J, Fitzgerald R, Douglas AR, McNamara D, Smith S, O'Neill LAJ, Creagh EM. Caspase-4: A Therapeutic Target for Peptic Ulcer Disease. Immunohorizons 2020; 4:627-633. [PMID: 33046484 DOI: 10.4049/immunohorizons.2000080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 09/18/2020] [Indexed: 11/19/2022] Open
Abstract
Peptic ulcers are caused by the interaction between bacterial and host factors. This study demonstrates enhanced expression of caspase-4 in peptic ulcer patient biopsies, indicating that pyroptosis and noncanonical inflammasome activity may be processes involved in peptic ulcer disease. We show that primary murine macrophages infected with Helicobacter pylori upregulate caspase-11 (the ortholog of human caspase-4), activate caspase-1, and secrete IL-1β. We demonstrate that misoprostol (a stable PGE1 analogue) decreased IL-1β secretion and delayed lethality in vivo in a murine peritonitis model. PGE2 was shown to inhibit caspase-11-driven pyroptosis and IL-1β secretion in macrophages. Overall, we provide evidence for a pathological role of caspase-4/11 in peptic ulcer disease and propose that targeting caspase-4 or inhibiting pyroptosis may have therapeutic potential in the management of peptic ulcers.
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Affiliation(s)
- Zbigniew Zaslona
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland;
| | - Ewelina Flis
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Ciara Nulty
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Jay Kearney
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Rebecca Fitzgerald
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin 2, Ireland; and
| | - Atiyekeogbebe R Douglas
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin 2, Ireland; and
| | - Deirdre McNamara
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin 2, Ireland; and.,Department of Gastroenterology, Tallaght University Hospital, Dublin D24 NR04, Ireland
| | - Sinead Smith
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin 2, Ireland; and
| | - Luke A J O'Neill
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Emma M Creagh
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin 2, Ireland
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Pibida L, Bergeron DE, Zimmerman B, Fitzgerald R, Cessna JT, King L. Determination of the half-life and the absolute photon emission intensities for the main gamma-ray energies of 124I. Appl Radiat Isot 2020; 167:109455. [PMID: 33039762 DOI: 10.1016/j.apradiso.2020.109455] [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: 06/19/2020] [Revised: 09/16/2020] [Accepted: 10/01/2020] [Indexed: 11/18/2022]
Abstract
The National Institute of Standards and Technology (NIST) performed new standardization measurements for 124I. As part of this work the absolute photon emission intensity for the main gamma-rays of 124I were determined using several high-purity germanium (HPGe) detectors. In addition, the half-life for 124I was also determined using an HPGe detector. Ionization chamber measurements were performed for additional sources, but it was not possible to obtain a precise half-life value.
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Affiliation(s)
- L Pibida
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA.
| | - D E Bergeron
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - B Zimmerman
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - R Fitzgerald
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - J T Cessna
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - L King
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
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Fitzgerald R, Bergeron DE, Giblin SP, Jarrett DG, Judge SM, Michotte C, Scherer H, Zimmerman NM. The next generation of current measurement for ionization chambers. Appl Radiat Isot 2020; 163:109216. [PMID: 32561054 DOI: 10.1016/j.apradiso.2020.109216] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 03/23/2020] [Accepted: 05/03/2020] [Indexed: 11/18/2022]
Abstract
Re-entrant ionization chambers (ICs) are essential to radionuclide metrology and nuclear medicine for maintaining standards and measuring half-lives. The requirements of top-level metrology demand that systems must be precise and stable to 0.1 % over many years, and linear from 10-14 A to 10-8 A. Thus, laboratories depend on bespoke current measurement systems and often rely on sealed sources to generate reference currents. To maintain and improve present capabilities, metrologists need to overcome two looming challenges: ageing electronics and decreasing availability of sealed sources. Possible solutions using Ultrastable Low-Noise Current Amplifiers (ULCAs), resistive-feedback electrometers, and (quantum) single-electron pumps are reviewed. Broader discussions of IC design and methodology are discussed. ULCAs show promise and resistive-feedback systems which take advantage of standard resistor calibrations offer an alternative.
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Abstract
Facial analysis techniques traditionally separate the upper, middle, and lower facial thirds as distinct entities without guidance in achieving aesthetic youthfulness. There is now an opportunity to develop better analytical tools and specific algorithms to help create an overall harmony to the face and restore a youthful appearance. Facial anatomic subunits have similar three-dimensional qualities based on underlying anatomic structures, craniofacial skeletal modeling, superficial and deep facial fat compartments, skin thickness, facial muscle activity, and curvature (flat, convex, concave). This article discusses using the relationships of the facial anatomic subunits to obtain more consistent and natural facial rejuvenation outcomes.
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Affiliation(s)
- Babak Azizzadeh
- Division of Head and Neck Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90024, USA; Department of Facial Plastic and Reconstructive Surgery, Center for Advanced Facial Plastic Surgery, 9401 Wilshire Boulevard, Suite 650, Beverly Hills, CA 90212, USA.
| | - Rebecca Fitzgerald
- Rebecca Fitzgerald MD Inc, 321 N Larchmont Blvd #906, Los Angeles, CA 90004, USA
| | - Guy Massry
- Beverly Hills Ophthalmic Plastic and Reconstructive Surgery, 150 S Robertson #314, Beverly Hills, CA 90211, USA; Division of Oculoplastic Surgery, Department of Ophthalmology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Erin Smith
- Department of Facial Plastic and Reconstructive Surgery, Center for Advanced Facial Plastic Surgery, 9401 Wilshire Boulevard, Suite 650, Beverly Hills, CA 90212, USA
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36
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Unterweger MP, Fitzgerald R. Corrigendum to "Update of NIST half-life results corrected for ionization chamber source-holder instability" [Appl. Radiat. Isot. 87 (2014) 92-94]. Appl Radiat Isot 2020; 159:108976. [PMID: 32068143 DOI: 10.1016/j.apradiso.2019.108976] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 11/04/2019] [Indexed: 10/25/2022]
Affiliation(s)
- M P Unterweger
- Physical Measurements Laboratory, National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899-8462, USA.
| | - R Fitzgerald
- Physical Measurements Laboratory, National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899-8462, USA.
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Pibida L, Zimmerman BE, King L, Fitzgerald R, Bergeron DE, Napoli E, Cessna JT. Determination of the internal pair production branching ratio of 90Y. Appl Radiat Isot 2020; 156:108943. [PMID: 31683089 DOI: 10.1016/j.apradiso.2019.108943] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 08/23/2019] [Accepted: 10/14/2019] [Indexed: 10/25/2022]
Abstract
The National Institute of Standards and Technology (NIST) measured the internal pair production branching ratio of 90Y using two sources and four high purity germanium (HPGe) detectors to detect the resulting annihilation radiation. The internal pair production branching ratio determined from these measurements, (32.0 ± 1.5) × 10-6 (k = 1), agrees within 1 standard uncertainty with the recommended value of (32.6 ± 0.7) × 10-6 (k = 1) from the DDEP database.
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Affiliation(s)
- L Pibida
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA.
| | - B E Zimmerman
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - L King
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - R Fitzgerald
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - D E Bergeron
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
| | - E Napoli
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA; Oncoinvent AS, University of Oslo, Norway
| | - J T Cessna
- National Institute of Standards and Technology, 100 Bureau Dr, MS 8462, Gaithersburg, MD, 20899-8462, USA
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O'Sullivan M, Butler ST, Pierce KM, Crowe MA, O'Sullivan K, Fitzgerald R, Buckley F. Reproductive efficiency and survival of Holstein-Friesian cows of divergent Economic Breeding Index, evaluated under seasonal calving pasture-based management. J Dairy Sci 2019; 103:1685-1700. [PMID: 31837792 DOI: 10.3168/jds.2019-17374] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 10/13/2019] [Indexed: 12/14/2022]
Abstract
The objective of the current study was to examine phenotypic fertility performance and survival, and to gain insight into underlying factors that may contribute to greater fertility performance in 2 divergent genetic groups (GG) of Holstein-Friesian, selected using the Irish Economic Breeding Index (EBI). The GG were evaluated across 3 spring calving pasture-based feeding treatments (FT) over 4 yr. The 2 divergent GG were (1) high EBI; representative of the top 5% nationally (elite), and (2) EBI representative of the national average (NA). In each year, 90 elite and 45 NA cows were randomly allocated to 1 of 3 FT: control, lower grass allowance, and high concentrate. No interaction between GG and FT was observed for any of the measures of fertility investigated. The elite cows achieved significantly greater pregnancy rate to first service (+14.9 percentage points), and significantly greater pregnancy rates after 21, 42, and 84 d of breeding (+17.3, +15.2, and +9.6 percentage points, respectively) compared with NA. The number of services per cow was fewer for elite (1.57) compared with NA (1.80). The interval from mating start date to pregnancy was significantly shorter for elite cows compared with NA. The elite cows maintained greater mean body condition score than NA throughout the study (2.91 vs. 2.72), and had greater body condition score at calving, artificial insemination, and drying off compared with NA. The elite cows had greater mean circulating concentrations of insulin-like growth factor-1 compared with NA. No significant effect was observed of GG on commencement of luteal activity, or progesterone profile variables. Greater survival to the start of fifth lactation was observed for elite cows. The elite cows were 43% less likely to be culled than NA by the beginning of the fifth lactation. The results highlight the success of the Economic Breeding Index to deliver reproductive performance and longevity consistent with industry targets across a range of seasonal pasture-based FT. The results also clearly demonstrate the potential of appropriate genetic selection to reverse negative fertility trends incurred during previous decades of selection for milk production alone.
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Affiliation(s)
- M O'Sullivan
- Animal and Grassland Research and Innovation Centre, Teagasc Moorepark, Fermoy, Co. Cork, P61 C997, Ireland; School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 N2E5, Ireland
| | - S T Butler
- Animal and Grassland Research and Innovation Centre, Teagasc Moorepark, Fermoy, Co. Cork, P61 C997, Ireland
| | - K M Pierce
- School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 N2E5, Ireland
| | - M A Crowe
- School of Veterinary Medicine, University College Dublin, Belfield, Dublin, D04 N2E5, Ireland
| | - K O'Sullivan
- School of Mathematical Sciences, University College Cork, Cork, T12 XF62, Ireland
| | - R Fitzgerald
- Animal and Grassland Research and Innovation Centre, Teagasc Moorepark, Fermoy, Co. Cork, P61 C997, Ireland
| | - F Buckley
- Animal and Grassland Research and Innovation Centre, Teagasc Moorepark, Fermoy, Co. Cork, P61 C997, Ireland; School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 N2E5, Ireland.
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Rahman S, Walker R, Lloyd M, Grace B, van Boxel G, Kingma BF, Ruurda J, van Hillegersberg R, Harris S, Parsons S, Mercer S, Griffiths E, O'Neill J, Turkington R, Fitzgerald R, Underwood T. Machine Learning to Predict Early Recurrence After Oesophageal Cancer Surgery. Eur J Surg Oncol 2019. [DOI: 10.1016/j.ejso.2019.09.073] [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: 10/25/2022] Open
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40
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Ococks E, Frankell A, Masque-Soler N, Northrop A, Devonshire G, Hughes C, Grehan N, Smyth E, Blasko A, Fitzgerald R. Assessing the clinical utility of circulating tumour DNA through longitudinal liquid biopsy sampling in oesophageal adenocarcinoma. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz247.148] [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: 11/14/2022] Open
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Linossi C, Williams A, Baird R, Dovedi S, Fitzgerald R, Pacey S. Cambridge liquid biopsy “CALIBRATION” study: Can changes in circulating tumour DNA (ctDNA) predict durable tumour responses in patients with advanced oesophageal cancer receiving MEDI4736? Ann Oncol 2019. [DOI: 10.1093/annonc/mdz239.080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Murtough S, Webb C, Chikh A, Louis dit Picard H, Pink R, Wang J, Fitzgerald R, Risk J, Pennington D, Kelsell D. 423 Type 2 Immunity Linked to iRhom2 and Tylosis with Oesophageal Cancer. J Invest Dermatol 2019. [DOI: 10.1016/j.jid.2019.07.425] [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: 10/26/2022]
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Münch NS, Fang HY, Ingermann J, Maurer HC, Anand A, Kellner V, Sahm V, Wiethaler M, Baumeister T, Wein F, Einwächter H, Bolze F, Klingenspor M, Haller D, Kavanagh M, Lysaght J, Friedman R, Dannenberg AJ, Pollak M, Holt PR, Muthupalani S, Fox JG, Whary MT, Lee Y, Ren TY, Elliot R, Fitzgerald R, Steiger K, Schmid RM, Wang TC, Quante M. High-Fat Diet Accelerates Carcinogenesis in a Mouse Model of Barrett's Esophagus via Interleukin 8 and Alterations to the Gut Microbiome. Gastroenterology 2019; 157:492-506.e2. [PMID: 30998992 PMCID: PMC6662596 DOI: 10.1053/j.gastro.2019.04.013] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 04/03/2019] [Accepted: 04/06/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND & AIMS Barrett's esophagus (BE) is a precursor to esophageal adenocarcinoma (EAC). Progression from BE to cancer is associated with obesity, possibly due to increased abdominal pressure and gastroesophageal reflux disease, although this pathogenic mechanism has not been proven. We investigated whether environmental or dietary factors associated with obesity contribute to the progression of BE to EAC in mice. METHODS Tg(ED-L2-IL1RN/IL1B)#Tcw mice (a model of BE, called L2-IL1B mice) were fed a chow (control) or high-fat diet (HFD) or were crossbred with mice that express human interleukin (IL) 8 (L2-IL1B/IL8 mice). Esophageal tissues were collected and analyzed for gene expression profiles and by quantitative polymerase chain reaction, immunohistochemistry, and flow cytometry. Organoids were established from BE tissue of mice and cultured with serum from lean or obese individuals or with neutrophils from L2-IL1B mice. Feces from mice were analyzed by 16s ribosomal RNA sequencing and compared to 16s sequencing data from patients with dysplasia or BE. L2-IL1B were mice raised in germ-free conditions. RESULTS L2-IL1B mice fed an HFD developed esophageal dysplasia and tumors more rapidly than mice fed the control diet; the speed of tumor development was independent of body weight. The acceleration of dysplasia by the HFD in the L2-IL1B mice was associated with a shift in the gut microbiota and an increased ratio of neutrophils to natural killer cells in esophageal tissues compared with mice fed a control diet. We observed similar differences in the microbiomes from patients with BE that progressed to EAC vs patients with BE that did not develop into cancer. Tissues from dysplasias of L2-IL1B mice fed the HFD contained increased levels of cytokines that are produced in response to CXCL1 (the functional mouse homolog of IL8, also called KC). Serum from obese patients caused organoids from L2-IL1B/IL8 mice to produce IL8. BE tissues from L2-IL1B mice fed the HFD and from L2-IL1B/IL8 mice contained increased numbers of myeloid cells and cells expressing Cxcr2 and Lgr5 messenger RNAs (epithelial progenitors) compared with mice fed control diets. BE tissues from L2-IL1B mice raised in germ-free housing had fewer progenitor cells and developed less dysplasia than in L2-IL1 mice raised under standard conditions; exposure of fecal microbiota from L2-IL1B mice fed the HFD to L2-IL1B mice fed the control diet accelerated tumor development. CONCLUSIONS In a mouse model of BE, we found that an HFD promoted dysplasia by altering the esophageal microenvironment and gut microbiome, thereby inducing inflammation and stem cell expansion, independent of obesity.
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Affiliation(s)
- Natasha Stephens Münch
- Department of Internal Medicine, Technical University of Munich, Germany,Chair of Molecular Nutritional Medicine, Technical University of Munich, Germany
| | - Hsin-Yu Fang
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Jonas Ingermann
- Department of Internal Medicine, Technical University of Munich, Germany,Chair of Molecular Nutritional Medicine, Technical University of Munich, Germany
| | - H. Carlo Maurer
- Department of Internal Medicine, Technical University of Munich, Germany,Irvine Cancer Research Center, Columbia University, New York, USA
| | - Akanksha Anand
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Victoria Kellner
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Vincenz Sahm
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Maria Wiethaler
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Theresa Baumeister
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Frederik Wein
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Henrik Einwächter
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Florian Bolze
- Chair of Molecular Nutritional Medicine, Technical University of Munich, Germany,EKFZ – Else Kröner-Fresenius Center for Nutritional Medicine, Technical University of Munich, Germany,ZIEL – Institute of Food & Health, Technical University of Munich, Germany
| | - Martin Klingenspor
- Chair of Molecular Nutritional Medicine, Technical University of Munich, Germany,EKFZ – Else Kröner-Fresenius Center for Nutritional Medicine, Technical University of Munich, Germany,ZIEL – Institute of Food & Health, Technical University of Munich, Germany
| | - Dirk Haller
- Chair of Nutrition and Immunology; Technical University of Munich, Germany
| | - Maria Kavanagh
- Department of Surgery, Trinity Translational Medicine Institute, Trinity College Dublin, Ireland
| | - Joanne Lysaght
- Department of Surgery, Trinity Translational Medicine Institute, Trinity College Dublin, Ireland
| | - Richard Friedman
- Irvine Cancer Research Center, Columbia University, New York, USA
| | | | | | | | | | - James G. Fox
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mark T. Whary
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yoomi Lee
- Irvine Cancer Research Center, Columbia University, New York, USA
| | - Tony Y. Ren
- Irvine Cancer Research Center, Columbia University, New York, USA
| | | | | | - Katja Steiger
- Institute of Pathology, Technical University of Munich, Germany
| | - Roland M. Schmid
- Department of Internal Medicine, Technical University of Munich, Germany
| | - Timothy C. Wang
- Irvine Cancer Research Center, Columbia University, New York, USA
| | - Michael Quante
- Department of Internal Medicine, Technical University of Munich, Germany.
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Levy S, Moschandreas J, Debiram-Beecham I, O’Donovan M, Brooks C, Bailey A, Hawkins M, Kadri S, de Caestecker J, Crosby T, Fitzgerald R, Mukherjee S. Cytosponge™ for post‐chemoradiation surveillance of oesophageal cancer: a feasibility study. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz155.209] [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: 11/12/2022] Open
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45
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Aland T, Fitzgerald R, Knesl M, Perkins A, Shannon D, Anderson L, Jones M, Bailey N, Foote M, Dally M. EP-2100 Quality in the implementation of stereotactic radiotherapy services on a national scale. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32520-4] [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: 10/26/2022]
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46
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Fitzgerald R, Carqueville J, Yang P. An approach to structural facial rejuvenation with fillers in women. Int J Womens Dermatol 2018; 5:52-67. [PMID: 30809580 PMCID: PMC6374711 DOI: 10.1016/j.ijwd.2018.08.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [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: 07/29/2018] [Revised: 08/22/2018] [Accepted: 08/24/2018] [Indexed: 11/24/2022] Open
Abstract
Newer understanding of volume loss as a critical component of facial aging and the integration of volume replacement into the surgical and nonsurgical therapeutic algorithm is arguably the most significant recent development in the field of facial rejuvenation. As all structural tissues play a role in the aging face, restoring youthful characteristics (or establishing them where they are congenitally absent) starts from the skeletal framework and builds progressively to the canvas of the face. The purpose of this article is to provide an introduction and brief summary of some of the current concepts concerning facial anatomy and the anatomy of facial aging, which serve as the basis for predictable and reproducible results with the use of injectable fillers. This article does not include the various types of fillers or techniques of filler injection, but covers how to decide where to use the filler and why, in different faces, as a result of the recognition and targeted correction of currently recognized specific anatomic deficiencies.
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Affiliation(s)
- R. Fitzgerald
- Private practice, Los Angeles, California
- Corresponding Author.
| | - J. Carqueville
- Private practice, Chicago, Illinois
- Department of Dermatology, Stroger Hospital of Cook County, Chicago, Illinois
| | - P.T. Yang
- Department of Oculoplastics, University of California San Diego, San Diego, California
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47
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Bergeron DE, Cessna JT, Fitzgerald R, Pibida L, Zimmerman BE. Standardization of 64Cu activity. Appl Radiat Isot 2018; 139:266-273. [PMID: 29879531 PMCID: PMC6240916 DOI: 10.1016/j.apradiso.2018.05.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 05/21/2018] [Accepted: 05/23/2018] [Indexed: 11/21/2022]
Abstract
The complex decay scheme that makes 64Cu promising as both an imaging and therapeutic agent in medicine also makes the absolute measurement of its activity challenging. The National Institute of Standards and Technology (NIST) has completed a primary activity standardization of a 64CuCl2 solution using the 4πβ(LS)-γ(NaI) live-timed anticoincidence (LTAC) counting method with a combined standard uncertainty of 0.51 %. Two liquid scintillation (LS) counting methods were employed for confirmatory measurements. Secondary measurements were made by high-purity germanium detectors, pressurized ionization chambers (IC), and a well-type NaI(Tl) counter. Agreement between the LTAC-based standard and standards from other laboratories was established via IC calibration factors. Poor agreement between methods and with theoretical IC responses may indicate a need for improved β+/- branching probabilities and a better treatment of β+/- spectra.
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Affiliation(s)
- D E Bergeron
- Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20874, USA.
| | - J T Cessna
- Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20874, USA
| | - R Fitzgerald
- Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20874, USA
| | - L Pibida
- Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20874, USA
| | - B E Zimmerman
- Radiation Physics Division, National Institute of Standards and Technology, Gaithersburg, MD 20874, USA
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48
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Abstract
Loss of facial volume and soft-tissue support are common to types of facial aging. Restoration of a youthful appearance relies upon correction of this loss, and can be achieved in various capacities through use of biostimulatory or hyaluronic acids (HA) injectable fillers. Here, the authors discuss the versatility of calcium hydroxylapatite (CaHA) in volume replacement and the applications and facial regions for which CaHA, poly-L-lactic acid (PLLA), and HA fillers are best suited.
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Affiliation(s)
- David J Goldberg
- Department of Dermatology, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Lawrence M Bass
- Department of Plastic Surgery, Manhattan Eye, Ear & Throat Hospital, Zucker School of Medicine at Hofstra/Northwell, New York, NY
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50
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Graivier MH, Bass LM, Lorenc ZP, Fitzgerald R, Goldberg DJ, Lemperle G. Differentiating Nonpermanent Injectable Fillers: Prevention and Treatment of Filler Complications. Aesthet Surg J 2018; 38:S29-S40. [PMID: 29897521 DOI: 10.1093/asj/sjy032] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Though the incidence of complications and adverse events with dermatological fillers is inherently low, practitioners should be well versed in both prevention of filler complications and the treatment algorithms for addressing "granulomas," nodules, infection, and vascular compromise. Appropriate preventative measures, coupled with timely and effective treatment, are critically important for patient safety and satisfaction. In addition to the preventive measures and treatment algorithms outlined here, the authors emphasize that the broad classification and treatment of nodules as "granulomas" is likely to lead to ineffective treatment, or worse, unnecessary exposure to incorrect treatment. In practice, nodules are classified and treated based on clinical manifestation (eg, late vs early or noninflammatory vs inflammatory) rather than on histology. Indeed, classification of a nodule as a granuloma requires a histological examination, rarely available (or necessary) in clinical practice to guide treatment. Thus, the apparent inflammatory nature of the nodule and the time of onset should drive treatment approach. The treatment algorithms presented here are based on these clinically meaningful parameters.
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Affiliation(s)
| | - Lawrence M Bass
- Department of Plastic Surgery, Manhattan Eye, Ear & Throat Hospital, Zucker School of Medicine at Hofstra/Northwell, New York, NY
| | | | | | - David J Goldberg
- Department of Dermatology, Icahn School of Medicine at Mt. Sinai, New York, NY
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