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Heath J, Chen D, Xie J, Choi J, Ng R, Zhang R, Li S, Edmark R, Zheng H, Solomon B, Campbell K, Medina E, Ribas A, Khatri P, Lanier L, Mease P, Goldman J, Su Y. An NKG2A biased immune response confers protection for infection, autoimmune disease, and cancer. Res Sq 2023:rs.3.rs-3413673. [PMID: 37886475 PMCID: PMC10602172 DOI: 10.21203/rs.3.rs-3413673/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Infection, autoimmunity, and cancer are the principal human health challenges of the 21st century and major contributors to human death and disease. Often regarded as distinct ends of the immunological spectrum, recent studies have hinted there may be more overlap between these diseases than appears. For example, pathogenic inflammation has been demonstrated as conserved between infection and autoimmune settings. T resident memory (TRM) cells have been highlighted as beneficial for infection and cancer. However, these findings are limited by patient number and disease scope; exact immunological factors shared across disease remain elusive. Here, we integrate large-scale deeply clinically and biologically phenotyped human cohorts of 526 patients with infection, 162 with lupus, and 11,180 with cancer. We identify an NKG2A+ immune bias as associative with protection against disease severity, mortality, and autoimmune and post-acute chronic disease. We reveal that NKG2A+ CD8+ T cells correlate with reduced inflammation, increased humoral immunity, and resemble TRM cells. Our results suggest that an NKG2A+ bias is a pan-disease immunological factor of protection and thus supports recent suggestions that there is immunological overlap between infection, autoimmunity, and cancer. Our findings underscore the promotion of an NKG2A+ biased response as a putative therapeutic strategy.
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Thaweethai T, Jolley SE, Karlson EW, Levitan EB, Levy B, McComsey GA, McCorkell L, Nadkarni GN, Parthasarathy S, Singh U, Walker TA, Selvaggi CA, Shinnick DJ, Schulte CCM, Atchley-Challenner R, Alba GA, Alicic R, Altman N, Anglin K, Argueta U, Ashktorab H, Baslet G, Bassett IV, Bateman L, Bedi B, Bhattacharyya S, Bind MA, Blomkalns AL, Bonilla H, Bush PA, Castro M, Chan J, Charney AW, Chen P, Chibnik LB, Chu HY, Clifton RG, Costantine MM, Cribbs SK, Davila Nieves SI, Deeks SG, Duven A, Emery IF, Erdmann N, Erlandson KM, Ernst KC, Farah-Abraham R, Farner CE, Feuerriegel EM, Fleurimont J, Fonseca V, Franko N, Gainer V, Gander JC, Gardner EM, Geng LN, Gibson KS, Go M, Goldman JD, Grebe H, Greenway FL, Habli M, Hafner J, Han JE, Hanson KA, Heath J, Hernandez C, Hess R, Hodder SL, Hoffman MK, Hoover SE, Huang B, Hughes BL, Jagannathan P, John J, Jordan MR, Katz SD, Kaufman ES, Kelly JD, Kelly SW, Kemp MM, Kirwan JP, Klein JD, Knox KS, Krishnan JA, Kumar A, Laiyemo AO, Lambert AA, Lanca M, Lee-Iannotti JK, Logarbo BP, Longo MT, Luciano CA, Lutrick K, Maley JH, Marathe JG, Marconi V, Marshall GD, Martin CF, Matusov Y, Mehari A, Mendez-Figueroa H, Mermelstein R, Metz TD, Morse R, Mosier J, Mouchati C, Mullington J, Murphy SN, Neuman RB, Nikolich JZ, Ofotokun I, Ojemakinde E, Palatnik A, Palomares K, Parimon T, Parry S, Patterson JE, Patterson TF, Patzer RE, Peluso MJ, Pemu P, Pettker CM, Plunkett BA, Pogreba-Brown K, Poppas A, Quigley JG, Reddy U, Reece R, Reeder H, Reeves WB, Reiman EM, Rischard F, Rosand J, Rouse DJ, Ruff A, Saade G, Sandoval GJ, Schlater SM, Shepherd F, Sherif ZA, Simhan H, Singer NG, Skupski DW, Sowles A, Sparks JA, Sukhera FI, Taylor BS, Teunis L, Thomas RJ, Thorp JM, Thuluvath P, Ticotsky A, Tita AT, Tuttle KR, Urdaneta AE, Valdivieso D, VanWagoner TM, Vasey A, Verduzco-Gutierrez M, Wallace ZS, Ward HD, Warren DE, Weiner SJ, Welch S, Whiteheart SW, Wiley Z, Wisnivesky JP, Yee LM, Zisis S, Horwitz LI, Foulkes AS. Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. JAMA 2023; 329:1934-1946. [PMID: 37278994 PMCID: PMC10214179 DOI: 10.1001/jama.2023.8823] [Citation(s) in RCA: 152] [Impact Index Per Article: 152.0] [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: 03/09/2023] [Accepted: 05/01/2023] [Indexed: 06/07/2023]
Abstract
Importance SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals. Objective To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections. Design, Setting, and Participants Prospective observational cohort study of adults with and without SARS-CoV-2 infection at 85 enrolling sites (hospitals, health centers, community organizations) located in 33 states plus Washington, DC, and Puerto Rico. Participants who were enrolled in the RECOVER adult cohort before April 10, 2023, completed a symptom survey 6 months or more after acute symptom onset or test date. Selection included population-based, volunteer, and convenience sampling. Exposure SARS-CoV-2 infection. Main Outcomes and Measures PASC and 44 participant-reported symptoms (with severity thresholds). Results A total of 9764 participants (89% SARS-CoV-2 infected; 71% female; 16% Hispanic/Latino; 15% non-Hispanic Black; median age, 47 years [IQR, 35-60]) met selection criteria. Adjusted odds ratios were 1.5 or greater (infected vs uninfected participants) for 37 symptoms. Symptoms contributing to PASC score included postexertional malaise, fatigue, brain fog, dizziness, gastrointestinal symptoms, palpitations, changes in sexual desire or capacity, loss of or change in smell or taste, thirst, chronic cough, chest pain, and abnormal movements. Among 2231 participants first infected on or after December 1, 2021, and enrolled within 30 days of infection, 224 (10% [95% CI, 8.8%-11%]) were PASC positive at 6 months. Conclusions and Relevance A definition of PASC was developed based on symptoms in a prospective cohort study. As a first step to providing a framework for other investigations, iterative refinement that further incorporates other clinical features is needed to support actionable definitions of PASC.
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Affiliation(s)
- Tanayott Thaweethai
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | | | | | | | - Bruce Levy
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Lisa McCorkell
- Patient-Led Research Collaborative, Calabasas, California
| | | | | | - Upinder Singh
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mario Castro
- University of Kansas Medical Center, Kansas City
| | | | | | - Peter Chen
- Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Helen Y Chu
- University of Washington School of Medicine, Seattle
| | | | | | | | | | | | | | | | | | | | | | | | - Cheryl E Farner
- The University of Texas Health Science Center at San Antonio
| | | | | | - Vivian Fonseca
- Tulane University Health Sciences Center, New Orleans, Louisiana
| | | | | | | | | | | | | | - Minjoung Go
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | - John Hafner
- University of Illinois Chicago College of Medicine
| | - Jenny E Han
- Emory University School of Medicine, Atlanta, Georgia
| | | | - James Heath
- Institute for Systems Biology, Seattle, Washington
| | | | - Rachel Hess
- University of Utah Schools of the Health Sciences, Salt Lake City
| | - Sally L Hodder
- West Virginia Clinical and Translational Science Institute, Morgantown
| | | | | | | | | | | | - Janice John
- Cambridge Health Alliance, Cambridge, Massachusetts
| | | | - Stuart D Katz
- New York University Grossman School of Medicine, New York
| | | | | | - Sara W Kelly
- University of Illinois College of Medicine at Peoria
| | | | - John P Kirwan
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | | | | | - Jerry A Krishnan
- University of Illinois Hospital and Health Sciences System, Chicago
| | - Andre Kumar
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | | | | | - Jason H Maley
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | | | | | | | - Yuri Matusov
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Alem Mehari
- Howard University College of Medicine, Washington, DC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jan E Patterson
- The University of Texas Health Science Center at San Antonio
| | | | | | | | | | | | - Beth A Plunkett
- Harvard Medical School, Boston, Massachusetts
- NorthShore University HealthSystem, Evanston, Illinois
| | | | - Athena Poppas
- Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | | | - Uma Reddy
- Columbia University Irving Medical Center, New York, New York
| | - Rebecca Reece
- West Virginia University School of Medicine, Morgantown
| | | | - W B Reeves
- Department of Medicine, The University of Texas Health Science Center at San Antonio
| | | | | | | | | | - Adam Ruff
- The University of Kansas Medical Center, Kansas City
| | | | - Grecio J Sandoval
- Milken Institute of Public Health, The George Washington University, Washington, DC
| | | | | | - Zaki A Sherif
- Howard University College of Medicine, Washington, DC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Steven J Weiner
- The George Washington University Biostatistics Center, Rockville, Maryland
| | | | | | | | | | - Lynn M Yee
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | | | | | - Andrea S Foulkes
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
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3
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Wallace T, Heath J, Koebbel C. The impact of flash glucose monitoring on adults with type 1 Diabetes' eating habits and relationship with food. Diabetes Res Clin Pract 2023; 196:110230. [PMID: 36563881 DOI: 10.1016/j.diabres.2022.110230] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
AIM To gain a better understanding of how the FreeStyle Libre (FSL) flash glucose monitor influences the eating habits and relationship with food of adults with type 1 diabetes (T1D). METHODS Reflexive thematic analysis was conducted on fifteen semi-structured interviews conducted with adults with T1D, exploring their experiences of at least one year of FSL use. RESULTS Four themes were constructed from the qualitative data: (1) Personal Food Story (what food represented before and after diabetes diagnosis), (2) New Opportunities (the FSL offered novel discoveries and increased self-confidence regarding food choices), (3) Body as a Machine (participants viewed their bodies as a collection of complex processes requiring continuous maintenance), and (4) re-evaluating Diabetes (participants expressed a shift in their expectations of themselves and their diabetes management). Although the FSL offered participants more freedom and flexibility with their eating, this was constrained by feeling forever under scrutiny from the data. CONCLUSIONS Findings suggest the FSL influences users' eating habits, including when, why, what and how much they eat. Participants described both the positive and negative impact of these changes on their emotional wellbeing and relationship with diabetes, arguing for a need to address patients' relationship with food in routine clinic care.
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Affiliation(s)
- T Wallace
- Doctoral Programme in Clinical Psychology, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK
| | - J Heath
- Doctoral Programme in Clinical Psychology, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK; Bedford Hospital Adult Diabetes Service, Bedfordshire Hospitals NHS Foundation Trust, Bedford Hospital South Wing, Kempston Road, Bedford MK42 9DJ, UK.
| | - C Koebbel
- Luton and Bedfordshire Eating Disorders Service, East London NHS Foundation Trust, Mountbatten House, 56 High Street South, Dunstable, Bedfordshire LU6 3HD, UK
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Heath J, Chour W, Choi J, Xie J, Chaffee M, Schmitt T, Finton K, Delucia D, Xu A, Su Y, Chen D, Zhang R, Yuan D, Hong S, Ng A, Butler J, Edmark R, Jones L, Murray K, Peng S, Li G, Strong R, Lee J, Goldman J, Greenberg P. Large libraries of single-chain trimer peptide-MHCs enable rapid antigen-specific CD8+ T cell discovery and analysis. Res Sq 2022:rs.3.rs-1090664. [PMID: 36415462 PMCID: PMC9681053 DOI: 10.21203/rs.3.rs-1090664/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
CD8 + cytotoxic T cell responses against viral infection represent a major element of the adaptive immune response. We describe the development of a peptide antigen - major histompatibility complex (pMHC) library representing the full SARS-CoV-2 viral proteome, and comprised of 634 pMHC multimers representing the A*02.01, A*24.02, and B*07.02 HLA alleles, as well as specific antigens associated with the cytomegalovirus (CMV). These libraries were used to capture non-expanded CD8 + T cells from blood samples collected from 64 infected individuals, and then analyzed using single cell RNA-seq. The discovery and characterization of antigen-specific CD8 + T cell clonotypes typically involves the labor-intensive synthesis and construction of peptide-MHC tetramers. We adapted single-chain trimer (SCT) technologies into a high throughput platform for pMHC library generation, showing that hundreds can be rapidly prepared across multiple Class I HLA alleles. We used this platform to explore the impact of peptide and SCT template mutations on protein expression yield, thermal stability, and functionality. SCT libraries were an efficient tool for identifying T cells recognizing commonly reported viral epitopes. We then constructed SCT libraries designed to capture SARS-CoV-2 specific CD8 + T cells from COVID-19 participants and healthy donors. The immunogenicity of these epitopes was validated by functional assays of T cells with cloned TCRs captured using SCT libraries. These technologies should enable the rapid analyses of peptide-based T cell responses across several contexts, including autoimmunity, cancer, or infectious disease.
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Stawiski EW, Bhardwaj V, Mathur J, Huang E, Dalmas O, Pan Z, Wang C, Heath J, Sennino B, Frohlich M, Rao A, Mandl S. Abstract 2757: Correlates of peptide-HLA manufacturing success, TCR capture and neoTCR trafficking from patients using the PACTImmune࣪ Database. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2757] [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
PACT Pharma uses a state-of-the-art approach to predict and validate neoepitopes (neoEs) and their cognate T cell receptors (neoTCRs) by capturing neoE-specific T cells from peripheral blood. This neoTCR discovery and validation process is being applied in a clinical trial (NCT03970382) evaluating personalized neoTCR-T cell therapy in solid tumors. The PACTImmune Database (PIDB) accumulates extensive pre-, on- and post-treatment data related to this trial. Here we present PIDB data on the prediction of peptide-HLA manufacturing success, as well as correlates of success of neoTCR capture and neoTCR T cell tumor trafficking, all of which have direct applications for prospective patient enrollment and treatment.
The PIDB contains distinct data sets on our neoTCR platform that we examined for predictive capabilities for three distinct applications. The first application was predicting manufacturing success rates of our single chain trimer (comPACT) which consists of the predicted neoE peptide together with B2M and the HLA heavy chain. Using multiple linear regression (MLR), we built a model predicting success rates of comPACT protein manufacturing (defined as comPACT protein yields >detection threshold) and compared it to prediction based solely on expressed tumor mutation burden (eTMB). Using univariate analysis, we compared variables between patients with 3 neoTCRs selected versus those with 0 neoTCRs. Finally, using principal component analysis (PCA) we evaluated if the PIDB neoantigen and TCR characteristics correlate with neoTCR T cell trafficking in patients (n=4) dosed with neoTCR T cells. Trafficking was determined by sequencing (neoTCR specific reads) and in some cases, IHC/RNAScope imaging of post-dosing biopsies.
MLR analysis of comPACT protein expression data resulted in significant improvement in comPACT manufacturing success rate predictions (R2=0.66, P<<0.001). These predictions were better than using eTMB alone (R2=0.33, P<<0.001). Patients with 3 neoTCRs selected had a significantly higher number of comPACTs and mutations covered by those comPACTs as compared to 0 neoTCR patients (P=0.004 and 0.002, respectively). All four patients demonstrated trafficking of neoTCR products into the tumor in post-dosing biopsies. Based on TCR characteristics PCA showed separation between tumor trafficking and non-trafficking TCRs (data pending).
Application of PIDB data improves predictions of peptide-HLA manufacturing success, identifies differences between patients with 3 and no neoTCR products and provides insights into trafficking TCR characteristics, which in turn enables us to optimize our neoTCR selection strategy for patients with solid cancers. PIDB thus represents a significant & maturing dataset for patient-specific tumor immunogenicity in solid cancers and provides opportunities to optimize personalized neoTCR T cell treatment.
Citation Format: Eric W. Stawiski, Vinnu Bhardwaj, Jyoti Mathur, Eva Huang, Olivier Dalmas, Zheng Pan, Cliff Wang, James Heath, Barbara Sennino, Mark Frohlich, Arati Rao, Stefanie Mandl. Correlates of peptide-HLA manufacturing success, TCR capture and neoTCR trafficking from patients using the PACTImmune࣪ Database [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 2757.
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Affiliation(s)
| | | | | | - Eva Huang
- 1PACT Pharma, South San Francisco, CA
| | | | - Zheng Pan
- 1PACT Pharma, South San Francisco, CA
| | | | | | | | | | - Arati Rao
- 1PACT Pharma, South San Francisco, CA
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6
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Li J, Zaslavsky M, Su Y, Guo J, Sikora M, van Unen V, Christophersen A, Chiou SH, Chen L, Li J, Ji X, Wilhelmy J, McSween A, Palanski B, Mallajosyula V, Bracey N, Dhondalay G, Bhamidipati K, Pai J, Kipp L, Dunn J, Hauser S, Oksenberg J, Satpathy A, Robinson WH, Steinmetz L, Khosla C, Utz P, Sollid L, Chien YH, Heath J, Fernandez-Becker N, Nadeau K, Saligrama N, Davis M. Human KIR+ CD8+ T cells target pathogenic T cells in Celiac disease and are active in autoimmune diseases and COVID-19. The Journal of Immunology 2022. [DOI: 10.4049/jimmunol.208.supp.165.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Abstract
Previous reports show a small subset of CD8+ T cells expressing Ly49 proteins in mice can suppress autoimmunity in a model of demyelinating disease. Here we find a markedly increased frequency of CD8+ T cells expressing inhibitory Killer cell Immunoglobulin like Receptors (KIR), the human equivalent of the Ly49 family, in the blood and inflamed tissues of various human autoimmune diseases. Increased KIR+ CD8+ T cells in the gut also correlate with disease activity in Celiac disease (CeD) patients. Moreover, KIR+ CD8+ T cells can efficiently eliminate pathogenic gliadin-specific CD4+ T cells from CeD patients’ leukocytes in vitro. Together with gene expression data, this shows that these cells are the likely equivalent of the mouse Ly49+ CD8+ T cells. Furthermore, we observe elevated levels of KIR+ CD8+ T cells, but not CD4+ regulatory T cells, in COVID-19 and influenza-infected patients, and this correlates with disease severity and vasculitis in COVID-19. Single-cell RNA and parallelized TCR sequencing reveals that expanded KIR+ CD8+ T cells from these different diseases and healthy subjects display shared phenotypes and similar T cell receptor sequences. Selective ablation of the murine counterpart in virus-infected mice leads to exacerbated autoimmunity developed after infection. These results characterize a regulatory CD8+ T cell subset in humans which we hypothesize functions to control pathogenic cells in autoimmune and infectious diseases, with important implications for the cellular dynamics and possible therapeutic approaches to suppress unwanted autoimmunity.
Supported by National Institutes of Health U19-AI057229 Howard Hughes Medical Institute Stanford Diabetes Research Center (P30DK116074)
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7
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Manry J, Bastard P, Gervais A, Le Voyer T, Rosain J, Philippot Q, Michailidis E, Hoffmann HH, Eto S, Garcia-Prat M, Bizien L, Parra-Martínez A, Yang R, Haljasmägi L, Migaud M, Särekannu K, Maslovskaja J, de Prost N, Tandjaoui-Lambiotte Y, Luyt CE, Amador-Borrero B, Gaudet A, Poissy J, Morel P, Richard P, Cognasse F, Troya J, Trouillet-Assant S, Belot A, Saker K, Garçon P, Rivière JG, Lagier JC, Gentile S, Rosen L, Shaw E, Morio T, Tanaka J, Dalmau D, Tharaux PL, Sene D, Stepanian A, Mégarbane B, Triantafyllia V, Fekkar A, Heath J, Franco J, Anaya JM, Solé-Violán J, Imberti L, Biondi A, Bonfanti P, Castagnoli R, Delmonte O, Zhang Y, Snow A, Holland S, Biggs C, Moncada-Vélez M, Arias A, Lorenzo L, Boucherit S, Anglicheau D, Planas A, Haerynck F, Duvlis S, Nussbaum R, Ozcelik T, Keles S, Bousfiha A, El Bakkouri J, Ramirez-Santana C, Paul S, Pan-Hammarstrom Q, Hammarstrom L, Dupont A, Kurolap A, Metz C, Aiuti A, Casari G, Lampasona V, Ciceri F, Barreiros L, Dominguez-Garrido E, Vidigal M, Zatz M, van de Beek D, Sahanic S, Tancevski I, Stepanovskyy Y, Boyarchuk O, Nukui Y, Tsumura M, Vidaur L, Tangye S, Burrel S, Duffy D, Quintana-Murci L, Klocperk A, Kann N, Shcherbina A, Lau YL, Leung D, Coulongeat M, Marlet J, Koning R, Reyes L, Chauvineau-Grenier A, Venet F, Monneret G, Nussenzweig M, Arrestier R, Boudhabhay I, Baris-Feldman H, Hagin D, Wauters J, Meyts I, Dyer A, Kennelly S, Bourke N, Halwani R, Sharif-Askari F, Dorgham K, Sallette J, Mehlal-Sedkaoui S, AlKhater S, Rigo-Bonnin R, Morandeira F, Roussel L, Vinh D, Erikstrup C, Condino-Neto A, Prando C, Bondarenko A, Spaan A, Gilardin L, Fellay J, Lyonnet S, Bilguvar K, Lifton R, Mane S, Anderson M, Boisson B, Béziat V, Zhang SY, Andreakos E, Hermine O, Pujol A, Peterson P, Mogensen TH, Rowen L, Mond J, Debette S, deLamballerie X, Burdet C, Bouadma L, Zins M, Soler-Palacin P, Colobran R, Gorochov G, Solanich X, Susen S, Martinez-Picado J, Raoult D, Vasse M, Gregersen P, Rodríguez-Gallego C, Piemonti L, Notarangelo L, Su H, Kisand K, Okada S, Puel A, Jouanguy E, Rice C, Tiberghien P, Zhang Q, Casanova JL, Abel L, Cobat A. The risk of COVID-19 death is much greater and age-dependent with type I IFN autoantibodies. Res Sq 2022:rs.3.rs-1225906. [PMID: 35043109 PMCID: PMC8764723 DOI: 10.21203/rs.3.rs-1225906/v1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
SARS-CoV-2 infection fatality rate (IFR) doubles with every five years of age from childhood onward. Circulating autoantibodies neutralizing IFN-α, IFN-ω, and/or IFN-β are found in ~20% of deceased patients across age groups. In the general population, they are found in ~1% of individuals aged 20-70 years and in >4% of those >70 years old. With a sample of 1,261 deceased patients and 34,159 uninfected individuals, we estimated both IFR and relative risk of death (RRD) across age groups for individuals carrying autoantibodies neutralizing type I IFNs, relative to non-carriers. For autoantibodies neutralizing IFN-α2 or IFN-ω, the RRD was 17.0[95% CI:11.7-24.7] for individuals under 70 years old and 5.8[4.5-7.4] for individuals aged 70 and over, whereas, for autoantibodies neutralizing both molecules, the RRD was 188.3[44.8-774.4] and 7.2[5.0-10.3], respectively. IFRs increased with age, from 0.17%[0.12-0.31] for individuals <40 years old to 26.7%[20.3-35.2] for those ≥80 years old for autoantibodies neutralizing IFN-α2 or IFN-ω, and from 0.84%[0.31-8.28] to 40.5%[27.82-61.20] for the same two age groups, for autoantibodies neutralizing both molecules. Autoantibodies against type I IFNs increase IFRs, and are associated with high RRDs, particularly those neutralizing both IFN-α2 and -ω. Remarkably, IFR increases with age, whereas RRD decreases with age. Autoimmunity to type I IFNs appears to be second only to age among common predictors of COVID-19 death.
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Affiliation(s)
| | - Paul Bastard
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163
| | | | | | - Jérémie Rosain
- Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM
| | | | | | | | - Shohei Eto
- Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University
| | - Marina Garcia-Prat
- Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute
| | | | - Alba Parra-Martínez
- Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute
| | - Rui Yang
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University
| | | | | | - Karita Särekannu
- Institute of Biomedicine and Translational Medicine, University of Tartu
| | - Julia Maslovskaja
- Institute of Biomedicine and Translational Medicine, University of Tartu
| | | | | | - Charles-Edouard Luyt
- Hôpital Pitié-Salpêtrière, Service de Médecine Intensive Réanimation, Institut de Cardiologie
| | | | - Alexandre Gaudet
- University of Lille, U1019-UMR9017, Center for Infection and Immunity of Lille
| | - Julien Poissy
- University of Lille, U1019-UMR9017, Center for Infection and Immunity of Lille
| | | | | | | | - Jesus Troya
- Department of Internal Medicine, Infanta Leonor University Hospital
| | | | | | | | - Pierre Garçon
- Intensive Care Unit, Grand Hôpital de l'Est Francilien Site de Marne-La-Vallée
| | | | | | - Stéphanie Gentile
- Service d'Evaluation Médicale, Hôpitaux Universitaires de Marseille APHM
| | | | - Elana Shaw
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health
| | | | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima Universit
| | - David Dalmau
- Hospital Universitari MútuaTerrassa; Fundació Docència i Recerca MutuaTerrassa, Terrasa; Universitat de Barcelona
| | | | - Damien Sene
- Internal Medicine Department, Lariboisière Hospital AP-HP, Paris University
| | - Alain Stepanian
- Service d'Hématologie Biologique, Hôpital Lariboisière, AP-HP and EA3518, Institut Universitaire d'Hématologie-Hôpital Saint Louis, Université Paris
| | - Bruno Mégarbane
- Réanimation Médicale et Toxicologique, Hôpital Lariboisière (AP-HP), Université Paris-Diderot, INSERM Unité Mixte de Recherche Scientifique (UMRS) 1144
| | - Vasiliki Triantafyllia
- Laboratory of Immunobiology, Center for Clinical, Experimental Surgery, and Translational Research, Biomedical Research Foundation of the Academy of Athens
| | | | | | | | | | - Jordi Solé-Violán
- Intensive Care Medicine, University Hospital of Gran Canaria Dr. Negrín, Canarian Health System
| | - Luisa Imberti
- CREA Laboratory (AIL Center for Hemato-Oncologic Research), Diagnostic Department, ASST Spedali Civili di Brescia
| | | | - Paolo Bonfanti
- Department of Infectious Diseases, San Gerardo Hospital, University of Milano Bicocca
| | - Riccardo Castagnoli
- Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health
| | - Ottavia Delmonte
- Immune Deficiency Genetics Section, Laboratory of Host Defenses, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health
| | | | - Andrew Snow
- Uniformed Services University of the Health Sciences, Bethesda, MD
| | - Steve Holland
- Division of Intramural Research (HNM2), National Institute of Allergy and Infectious Diseases
| | - Catherine Biggs
- Department of Pediatrics, British Columbia Children's Hospital, University of British Columbia
| | - Marcela Moncada-Vélez
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University
| | - Andrés Arias
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University
| | | | | | | | | | | | - Sotirija Duvlis
- Faculty of Medical Sciences, University "Goce Delchev," Štip, Republic of Northern Macedonia
| | | | | | - Sevgi Keles
- Necmettin Erbakan University, Meram Medical Faculty
| | | | - Jalila El Bakkouri
- Clinical Immunology Unit, Department of Pediatric Infectious Disease, CHU Ibn Rushd and LICIA, Laboratoire d'Immunologie Clinique, Inflammation et Allergie, Faculty of Medicine and Pharmacy
| | - Carolina Ramirez-Santana
- Center for Autoimmune Disease Research, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia
| | - Stéphane Paul
- Centre International de Recherche en Infectiologie Lyon
| | | | | | - Annabelle Dupont
- Université de Lille, INSERM, CHU de Lille, Institut Pasteur de Lille, U1011-EGID, F-59000 Lille, France
| | - Alina Kurolap
- Genetics Institute, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel
| | | | - Alessandro Aiuti
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan
| | - Giorgio Casari
- Vita-Salute San Raffaele University, and Clinical Genomics, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Fabio Ciceri
- Hematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Lucila Barreiros
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | | | | | | | - Sabina Sahanic
- Department of Internal Medicine II, Medical University Innsbruck
| | | | | | - Oksana Boyarchuk
- Department of Children's Diseases and Pediatric Surgery, I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine
| | - Yoko Nukui
- Department of Infection Control and Prevention, Medical Hospital, TMDU, Tokyo, Japan
| | | | - Loreto Vidaur
- Intensive Care Medicine, Donostia University Hospital, Biodonostia Institute of Donostia, San Sebastián, Spain
| | | | | | | | | | - Adam Klocperk
- Department of Immunology, Second Faculty of Medicine, Charles University and University Hospital Motol, 15006 Prague
| | - Nelli Kann
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | - Anna Shcherbina
- Dmitry Rogachev National Medical Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia
| | | | - Daniel Leung
- Department of Paediatrics and Adolescent Medicine, University of Hong Kong, Hong Kong, China
| | - Matthieu Coulongeat
- Division of Geriatric Medicine, Tours University Medical Center, Tours, France
| | - Julien Marlet
- INSERM U1259, MAVIVH, Université de Tours, Tours, France
| | - Rutger Koning
- Department of Neurology, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Luis Reyes
- Department of Microbiology, Universidad de La Sabana, Chía, Colombia
| | | | | | | | | | - Romain Arrestier
- Service de Médecine Intensive Réanimation, Hôpitaux Universitaires Henri Mondor, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris, France
| | - Idris Boudhabhay
- Department of Nephrology and Transplantation, Necker University Hospital, APHP, Paris, France. 58INEM, INSERM U1151-CNRS UMR 8253, Paris University, Paris, France
| | - Hagit Baris-Feldman
- Genetics Institute, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel
| | - David Hagin
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv
| | - Joost Wauters
- Medical Intensive Care Unit, UZ Gasthuisberg & Laboratory for Clinical Infectious and Inflammatory Disorders, Depart-ment of Microbiology, Immunology and Transplantation, KU Leuven
| | | | - Adam Dyer
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland
| | - Sean Kennelly
- Department of Age-Related Healthcare, Tallaght University Hospital, Dublin, Ireland
| | - Nollaig Bourke
- Department of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | | | - Fatemeh Sharif-Askari
- Sharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Karim Dorgham
- Sorbonne Universités, UPMC Univ Paris 06, INSERM, CNRS, Centre d'Immunologie et des Maladies Infectieuses (CIMIParis UMRS 1135)
| | | | | | - Suzan AlKhater
- Department of Pediatrics, King Fahad Hospital of the University, Al Khobar, Saudi Arabia
| | - Raúl Rigo-Bonnin
- Department of Clinical Laboratory, Hospital Universitari de Bellvitge, IDIBELL, Barcelona, Spain
| | - Francisco Morandeira
- Department of Immunology, Hospital Universitari de Bellvitge, IDIBELL, Barcelona, Spain
| | - Lucie Roussel
- Department of Medicine, Division of Infectious Diseases, McGill University Health Centre, Montréal, QC, Canada
| | - Donald Vinh
- The Research Institute of the McGill University Health Centre
| | | | | | - Carolina Prando
- Faculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Brazil
| | | | - András Spaan
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY, USA
| | - Laurent Gilardin
- Service de Médecine Interne, Hôpital universitaire Jean-Verdier AP-HP, Bondy, France
| | | | | | | | - Richard Lifton
- Laboratory of Human Genetics and Genomics, The Rockefeller University
| | | | - Mark Anderson
- Diabetes Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | | | | | - Olivier Hermine
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche (UMR) 1163
| | | | - Pärt Peterson
- Molecular Pathology Research Group, Institute of Biomedicine and Translational Medicine, University of Tartu
| | | | - Lee Rowen
- Institute for Systems Biology, Seattle, WA, USA
| | | | - Stéphanie Debette
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219
| | | | | | - Lila Bouadma
- APHP- Hôpital Bichat - Médecine Intensive et Réanimation des Maladies
| | - Marie Zins
- Université de Paris, Université Paris-Saclay, UVSQ, INSERM UMS11, Villejuif, France
| | | | | | | | - Xavier Solanich
- Department of Internal Medicine, Hospital Universitari de Bellvitge, IDIBELL, Barcelona, Spain
| | - Sophie Susen
- Université de Lille, INSERM, CHU de Lille, Institut Pasteur de Lille, U1011-EGID, F-59000 Lille, France
| | | | - Didier Raoult
- Aix Marseille Université; IHU Méditerranée Infection-MEPHI
| | - Marc Vasse
- Service de Biologie Clinique and UMR-S 1176, Hôpital Foch, Suresnes, France
| | - Peter Gregersen
- Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Carlos Rodríguez-Gallego
- Department of Immunology, University Hospital of Gran Canaria Dr. Negrin, Canarian Health System, Las Palmas de Gran Canaria, Spain
| | - Lorenzo Piemonti
- IRCCS Ospedale San Raffaele, San Raffaele Diabetes Research Institute, Via Olgettina 60, 20132 Milan
| | | | | | | | - Satoshi Okada
- Hiroshima University Graduate School of Biomedical and Health Sciences
| | | | | | | | | | - Qian Zhang
- St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY, USA
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8
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Stock NM, Sharratt ND, Heath J, Nankivell D, Martindale A, Ridley M, Ahmed A, McMullin A, Cunniffe C. Falling through the gap: Dental treatment experiences of patients affected by cleft lip and/or palate. Br Dent J 2018; 225:218-222. [PMID: 30072784 DOI: 10.1038/sj.bdj.2018.542] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2018] [Indexed: 11/09/2022]
Abstract
Introduction In the UK, one in 600–700 infants is born with a cleft lip and/or palate (CL/P). Previous research has identified patients with CL/P to be at high risk of long-term oral health issues. Yet, few of these patients are currently accessing community dental care. Aims To assess patients' dental treatment experiences and their suggestions for improving services. Materials and methods Five focus groups were conducted with 24 adults with CL/P. Thematic analysis was performed on the data. Results Participants perceived local dental practitioners to lack knowledge about CL/P and its treatment. Consequently, some participants had stopped visiting a dental practice altogether. Participants were also largely unaware of the specialist CL/P services they are entitled to. Discussion Suggestions are made for the integration of improved training and resources for local dental practitioners. Closer communication between specialist cleft teams and local dental practitioners could also help to bridge the gap in knowledge and improve patients' engagement with dental services. The tertiary sector has a crucial role to play in empowering patients to take more control of their oral health and dental treatment.
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Affiliation(s)
- N M Stock
- University of the West of England, Centre for Appearance Research, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom
| | - N D Sharratt
- University of the West of England, Centre for Appearance Research, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom
| | - J Heath
- University of the West of England, Centre for Appearance Research, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom
| | - D Nankivell
- Cleft Lip and Palate Association, London, EC1V 7LQ, United Kingdom
| | - A Martindale
- Cleft Lip and Palate Association, London, EC1V 7LQ, United Kingdom
| | - M Ridley
- University of the West of England, Centre for Appearance Research, Coldharbour Lane, Bristol, BS16 1QY, United Kingdom
| | - A Ahmed
- University of Liverpool School of Dentistry, Liverpool, L69 7ZX, United Kingdom
| | - A McMullin
- Cleft Lip & Palate Orthodontics, Royal Manchester Children's Hospital, Oxford Road, Manchester, M13 9WL, United Kingdom
| | - C Cunniffe
- Cleft Lip and Palate Association, London, EC1V 7LQ, United Kingdom
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9
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Racherla M, Heath J, Sorensen E, Voorhees H, Dees L, Feller E, Kaczorowski D, Kon Z, Russell S, Ton V. Ventricular Fibrosis and Other Factors Influencing Exercise Tolerance in LVAD Patients. J Heart Lung Transplant 2018. [DOI: 10.1016/j.healun.2018.01.349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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10
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Xue Q, Bettini E, Paczkowski P, Ng C, Kaiser A, McConnell T, Kodrasi O, Quigley MF, Heath J, Fan R, Mackay S, Dudley ME, Kassim SH, Zhou J. Single-cell multiplexed cytokine profiling of CD19 CAR-T cells reveals a diverse landscape of polyfunctional antigen-specific response. J Immunother Cancer 2017; 5:85. [PMID: 29157295 PMCID: PMC5697351 DOI: 10.1186/s40425-017-0293-7] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [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: 07/31/2017] [Accepted: 10/16/2017] [Indexed: 12/25/2022] Open
Abstract
Background It remains challenging to characterize the functional attributes of chimeric antigen receptor (CAR)-engineered T cell product targeting CD19 related to potency and immunotoxicity ex vivo, despite promising in vivo efficacy in patients with B cell malignancies. Methods We employed a single-cell, 16-plex cytokine microfluidics device and new analysis techniques to evaluate the functional profile of CD19 CAR-T cells upon antigen-specific stimulation. CAR-T cells were manufactured from human PBMCs transfected with the lentivirus encoding the CD19-BB-z transgene and expanded with anti-CD3/anti-CD28 coated beads. The enriched CAR-T cells were stimulated with anti-CAR or control IgG beads, stained with anti-CD4 RPE and anti-CD8 Alexa Fluor 647 antibodies, and incubated for 16 h in a single-cell barcode chip (SCBC). Each SCBC contains ~12,000 microchambers, covered with a glass slide that was pre-patterned with a complete copy of a 16-plex antibody array. Protein secretions from single CAR-T cells were captured and subsequently analyzed using proprietary software and new visualization methods. Results We demonstrate a new method for single-cell profiling of CD19 CAR-T pre-infusion products prepared from 4 healthy donors. CAR-T single cells exhibited a marked heterogeneity of cytokine secretions and polyfunctional (2+ cytokine) subsets specific to anti-CAR bead stimulation. The breadth of responses includes anti-tumor effector (Granzyme B, IFN-γ, MIP-1α, TNF-α), stimulatory (GM-CSF, IL-2, IL-8), regulatory (IL-4, IL-13, IL-22), and inflammatory (IL-6, IL-17A) functions. Furthermore, we developed two new bioinformatics tools for more effective polyfunctional subset visualization and comparison between donors. Conclusions Single-cell, multiplexed, proteomic profiling of CD19 CAR-T product reveals a diverse landscape of immune effector response of CD19 CAR-T cells to antigen-specific challenge, providing a new platform for capturing CAR-T product data for correlative analysis. Additionally, such high dimensional data requires new visualization methods to further define precise polyfunctional response differences in these products. The presented biomarker capture and analysis system provides a more sensitive and comprehensive functional assessment of CAR-T pre-infusion products and may provide insights into the safety and efficacy of CAR-T cell therapy. Electronic supplementary material The online version of this article (10.1186/s40425-017-0293-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Qiong Xue
- Novartis Pharmaceuticals, 64 Sidney Street, Cambridge, MA, 02139, USA. .,Present Address: Novartis Institute of BioMedical Research, 300 Technology Square, Cambridge, MA, 02139, USA.
| | - Emily Bettini
- IsoPlexis Corporation, 35 NE Industrial Rd, Branford, CT, 06405, USA
| | | | - Colin Ng
- IsoPlexis Corporation, 35 NE Industrial Rd, Branford, CT, 06405, USA
| | - Alaina Kaiser
- IsoPlexis Corporation, 35 NE Industrial Rd, Branford, CT, 06405, USA
| | - Timothy McConnell
- IsoPlexis Corporation, 35 NE Industrial Rd, Branford, CT, 06405, USA
| | - Olja Kodrasi
- Novartis Pharmaceuticals, 64 Sidney Street, Cambridge, MA, 02139, USA.,Present Address: Novartis Institute of BioMedical Research, 64 Sidney street, Cambridge, MA, 02139, USA
| | - Máire F Quigley
- Novartis Pharmaceuticals, 64 Sidney Street, Cambridge, MA, 02139, USA.,Present Address: Novartis Pharmaceuticals, 45 Sidney Street, Cambridge, MA, 02139, USA
| | - James Heath
- NanoSystems Biology Cancer Center, Division of Chemistry, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Sean Mackay
- IsoPlexis Corporation, 35 NE Industrial Rd, Branford, CT, 06405, USA
| | - Mark E Dudley
- Novartis Pharmaceuticals, 64 Sidney Street, Cambridge, MA, 02139, USA.,Present Address: Adaptimmune, 351 Rouse Blvd, Philadelphia, PA, 19112, USA
| | - Sadik H Kassim
- Novartis Pharmaceuticals, 64 Sidney Street, Cambridge, MA, 02139, USA.,Present Address: Mustang Bio, 95 Sawyer Road, Waltham, MA, 02453, USA
| | - Jing Zhou
- IsoPlexis Corporation, 35 NE Industrial Rd, Branford, CT, 06405, USA.
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11
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Jaffee EM, Dang CV, Agus DB, Alexander BM, Anderson KC, Ashworth A, Barker AD, Bastani R, Bhatia S, Bluestone JA, Brawley O, Butte AJ, Coit DG, Davidson NE, Davis M, DePinho RA, Diasio RB, Draetta G, Frazier AL, Futreal A, Gambhir SS, Ganz PA, Garraway L, Gerson S, Gupta S, Heath J, Hoffman RI, Hudis C, Hughes-Halbert C, Ibrahim R, Jadvar H, Kavanagh B, Kittles R, Le QT, Lippman SM, Mankoff D, Mardis ER, Mayer DK, McMasters K, Meropol NJ, Mitchell B, Naredi P, Ornish D, Pawlik TM, Peppercorn J, Pomper MG, Raghavan D, Ritchie C, Schwarz SW, Sullivan R, Wahl R, Wolchok JD, Wong SL, Yung A. Future cancer research priorities in the USA: a Lancet Oncology Commission. Lancet Oncol 2017; 18:e653-e706. [PMID: 29208398 PMCID: PMC6178838 DOI: 10.1016/s1470-2045(17)30698-8] [Citation(s) in RCA: 130] [Impact Index Per Article: 18.6] [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: 05/31/2017] [Revised: 08/23/2017] [Accepted: 08/23/2017] [Indexed: 12/12/2022]
Abstract
We are in the midst of a technological revolution that is providing new insights into human biology and cancer. In this era of big data, we are amassing large amounts of information that is transforming how we approach cancer treatment and prevention. Enactment of the Cancer Moonshot within the 21st Century Cures Act in the USA arrived at a propitious moment in the advancement of knowledge, providing nearly US$2 billion of funding for cancer research and precision medicine. In 2016, the Blue Ribbon Panel (BRP) set out a roadmap of recommendations designed to exploit new advances in cancer diagnosis, prevention, and treatment. Those recommendations provided a high-level view of how to accelerate the conversion of new scientific discoveries into effective treatments and prevention for cancer. The US National Cancer Institute is already implementing some of those recommendations. As experts in the priority areas identified by the BRP, we bolster those recommendations to implement this important scientific roadmap. In this Commission, we examine the BRP recommendations in greater detail and expand the discussion to include additional priority areas, including surgical oncology, radiation oncology, imaging, health systems and health disparities, regulation and financing, population science, and oncopolicy. We prioritise areas of research in the USA that we believe would accelerate efforts to benefit patients with cancer. Finally, we hope the recommendations in this report will facilitate new international collaborations to further enhance global efforts in cancer control.
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Affiliation(s)
| | - Chi Van Dang
- Ludwig Institute for Cancer Research New York, NY; Wistar Institute, Philadelphia, PA, USA.
| | - David B Agus
- University of Southern California, Beverly Hills, CA, USA
| | - Brian M Alexander
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - Alan Ashworth
- University of California San Francisco, San Francisco, CA, USA
| | | | - Roshan Bastani
- Fielding School of Public Health and the Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA
| | - Sangeeta Bhatia
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeffrey A Bluestone
- University of California San Francisco, San Francisco, CA, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | | | - Atul J Butte
- University of California San Francisco, San Francisco, CA, USA
| | - Daniel G Coit
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Nancy E Davidson
- Fred Hutchinson Cancer Research Center and University of Washington, Seattle, WA, USA
| | - Mark Davis
- California Institute for Technology, Pasadena, CA, USA
| | | | | | - Giulio Draetta
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Lindsay Frazier
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Andrew Futreal
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Patricia A Ganz
- Fielding School of Public Health and the Jonsson Comprehensive Cancer Center, University of California, Los Angeles, CA, USA
| | - Levi Garraway
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; The Broad Institute, Cambridge, MA, USA; Eli Lilly and Company, Boston, MA, USA
| | | | - Sumit Gupta
- Division of Haematology/Oncology, Hospital for Sick Children, Faculty of Medicine and IHPME, University of Toronto, Toronto, Canada
| | - James Heath
- California Institute for Technology, Pasadena, CA, USA
| | - Ruth I Hoffman
- American Childhood Cancer Organization, Beltsville, MD, USA
| | - Cliff Hudis
- Breast Cancer Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Chanita Hughes-Halbert
- Medical University of South Carolina and the Hollings Cancer Center, Charleston, SC, USA
| | - Ramy Ibrahim
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Hossein Jadvar
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brian Kavanagh
- Department of Radiation Oncology, University of Colorado, Denver, CO, USA
| | - Rick Kittles
- College of Medicine, University of Arizona, Tucson, AZ, USA; University of Arizona Cancer Center, University of Arizona, Tucson, AZ, USA
| | | | - Scott M Lippman
- University of California San Diego Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - David Mankoff
- Department of Radiology and Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elaine R Mardis
- The Institute for Genomic Medicine at Nationwide Children's Hospital Columbus, OH, USA; College of Medicine, Ohio State University, Columbus, OH, USA
| | - Deborah K Mayer
- University of North Carolina Lineberger Cancer Center, Chapel Hill, NC, USA
| | - Kelly McMasters
- The Hiram C Polk Jr MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, USA
| | | | | | - Peter Naredi
- Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Dean Ornish
- University of California San Francisco, San Francisco, CA, USA
| | - Timothy M Pawlik
- Department of Surgery, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | | | - Martin G Pomper
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Derek Raghavan
- Levine Cancer Institute, Carolinas HealthCare, Charlotte, NC, USA
| | | | - Sally W Schwarz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | | | - Richard Wahl
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - Jedd D Wolchok
- Ludwig Center for Cancer Immunotherapy, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Sandra L Wong
- Department of Surgery, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Alfred Yung
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
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12
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van Groenigen KJ, Osenberg CW, Terrer C, Carrillo Y, Dijkstra FA, Heath J, Nie M, Pendall E, Phillips RP, Hungate BA. Faster turnover of new soil carbon inputs under increased atmospheric CO 2. Glob Chang Biol 2017; 23:4420-4429. [PMID: 28480591 DOI: 10.1111/gcb.13752] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 04/13/2017] [Accepted: 05/01/2017] [Indexed: 06/07/2023]
Abstract
Rising levels of atmospheric CO2 frequently stimulate plant inputs to soil, but the consequences of these changes for soil carbon (C) dynamics are poorly understood. Plant-derived inputs can accumulate in the soil and become part of the soil C pool ("new soil C"), or accelerate losses of pre-existing ("old") soil C. The dynamics of the new and old pools will likely differ and alter the long-term fate of soil C, but these separate pools, which can be distinguished through isotopic labeling, have not been considered in past syntheses. Using meta-analysis, we found that while elevated CO2 (ranging from 550 to 800 parts per million by volume) stimulates the accumulation of new soil C in the short term (<1 year), these effects do not persist in the longer term (1-4 years). Elevated CO2 does not affect the decomposition or the size of the old soil C pool over either temporal scale. Our results are inconsistent with predictions of conventional soil C models and suggest that elevated CO2 might increase turnover rates of new soil C. Because increased turnover rates of new soil C limit the potential for additional soil C sequestration, the capacity of land ecosystems to slow the rise in atmospheric CO2 concentrations may be smaller than previously assumed.
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Affiliation(s)
- Kees Jan van Groenigen
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
- Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
| | | | - César Terrer
- AXA Chair Programme in Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Ascot, UK
| | - Yolima Carrillo
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - Feike A Dijkstra
- Centre for Carbon, Water and Food, School of Life and Environmental Sciences, The University of Sydney, Eveleigh, NSW, Australia
| | - James Heath
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Ming Nie
- Ministry of Education Key Lab for Biodiversity Science and Ecological Engineering, The Institute of Biodiversity Science, Fudan University, Shanghai, China
| | - Elise Pendall
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | | | - Bruce A Hungate
- Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK
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13
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Peng S, Zaretsky J, Bethune MT, Hsu A, Baltimore D, Ribas A, Heath J. Abstract 2144: A novel method for high-throughput discovery of neo-antigens and corresponding T-cell receptors. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-2144] [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
Immunotherapies that boost the ability of endogenous T cells to destroy cancer cells have demonstrated therapeutic efficacy in several human malignancies. Cytotoxic T cells actively recognize peptide antigens, which are displayed on major histocompatibility complexes (MHCs) on the surface of the malignant cells, to play a central role in cancer immunotherapy. However, efficient methods for identifying the tumor antigens and the corresponding T cell receptors are still limited. We report here a DNA-barcode nanoparticle and microfluidics-based method to sort and enumerate neoantigen-specific T cells, at an unprecedented level of sensitivity. The method also permits the matching of a single neoantigen to a specific CD8+ T cell with the TCR a/b gene sequence. The resultant information informs an immunotherapy regimen that is specific for that patient, which can be used to custom-design effective ACT therapies.
Citation Format: Songming Peng, Jesse Zaretsky, Michael T. Bethune, Alice Hsu, David Baltimore, Antoni Ribas, James Heath. A novel method for high-throughput discovery of neo-antigens and corresponding T-cell receptors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2144. doi:10.1158/1538-7445.AM2017-2144
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Affiliation(s)
| | | | | | - Alice Hsu
- 1California Institute of Technology, Pasadena, CA
| | | | | | - James Heath
- 1California Institute of Technology, Pasadena, CA
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SU Y, Wei W, Robert L, Tsoi J, Xue M, Kim J, Graeber T, Levine R, Ribas A, Heath J. Abstract 2069: Overcoming drug resistance by targeting melanoma dedifferentiation through information-theoretic analysis and single cell proteomics. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-2069] [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
Despite impressive initial response of BRAF targeted therapy in mestastic melanoma patients, acquired drug resistance, often times derived from tumor heterogeneity, always limit its clinical outcome. A dedifferentiation process named melanocyte to neural crest transition (MNT) has shown to be critical in the early stage resistance development. The dedifferentiation could induce a whole cell state change resulting a drug tolerant state of melanoma cells, which will lead to initial drug resistance. Mathematic modeling indicates the nature of the transition as results of both stochastic phenotypic transition and non-genetic drug selection, which indicates and further proved that the whole cell state transition should be reversible during drug removal. Information theoretic analysis reduced the dimensional of thousands of gene expression level changes as results of only two unbalanced processes onto a cellular steady state. Reversible transition trajectory defined through two processes indicates it to resemble a critical transition in physical systems. Refined single cell proteomic analysis of those proteins that associate with major unbalanced processes identify the critical points of the transition as early as day6, which cannot be resolved from bulk proteomic measurement. By co-targeting the drivers at the critical points in combination with original brafi targeted drug successfully arrested the transition and induced a sustained tumor growth inhibition in multiple patient-derived melanoma cell lines. This study provides us a noval methodology of mining whole transcriptomic transition with information theoretic analysis to reduce the dimensionality and then using single cell proteomic analysis for refining critical points and driver proteins which eventually rationalized a effective combination therapy to stop the drug resistance development early on.
Citation Format: Yapeng SU, Wei Wei, Lidia Robert, Jennifer Tsoi, Min Xue, Jungwoo Kim, Thomas Graeber, Raphael Levine, Antoni Ribas, James Heath. Overcoming drug resistance by targeting melanoma dedifferentiation through information-theoretic analysis and single cell proteomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2069. doi:10.1158/1538-7445.AM2017-2069
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Vohra RS, Pasquali S, Kirkham AJ, Marriott P, Johnstone M, Spreadborough P, Alderson D, Griffiths EA, Fenwick S, Elmasry M, Nunes Q, Kennedy D, Basit Khan R, Khan MAS, Magee CJ, Jones SM, Mason D, Parappally CP, Mathur P, Saunders M, Jamel S, Ul Haque S, Zafar S, Shiwani MH, Samuel N, Dar F, Jackson A, Lovett B, Dindyal S, Winter H, Fletcher T, Rahman S, Wheatley K, Nieto T, Ayaani S, Youssef H, Nijjar RS, Watkin H, Naumann D, Emeshi S, Sarmah PB, Lee K, Joji N, Heath J, Teasdale RL, Weerasinghe C, Needham PJ, Welbourn H, Forster L, Finch D, Blazeby JM, Robb W, McNair AGK, Hrycaiczuk A, Charalabopoulos A, Kadirkamanathan S, Tang CB, Jayanthi NVG, Noor N, Dobbins B, Cockbain AJ, Nilsen-Nunn A, Siqueira J, Pellen M, Cowley JB, Ho WM, Miu V, White TJ, Hodgkins KA, Kinghorn A, Tutton MG, Al-Abed YA, Menzies D, Ahmad A, Reed J, Khan S, Monk D, Vitone LJ, Murtaza G, Joel A, Brennan S, Shier D, Zhang C, Yoganathan T, Robinson SJ, McCallum IJD, Jones MJ, Elsayed M, Tuck L, Wayman J, Carney K, Aroori S, Hosie KB, Kimble A, Bunting DM, Fawole AS, Basheer M, Dave RV, Sarveswaran J, Jones E, Kendal C, Tilston MP, Gough M, Wallace T, Singh S, Downing J, Mockford KA, Issa E, Shah N, Chauhan N, Wilson TR, Forouzanfar A, Wild JRL, Nofal E, Bunnell C, Madbak K, Rao STV, Devoto L, Siddiqi N, Khawaja Z, Hewes JC, Gould L, Chambers A, Urriza Rodriguez D, Sen G, Robinson S, Carney K, Bartlett F, Rae DM, Stevenson TEJ, Sarvananthan K, Dwerryhouse SJ, Higgs SM, Old OJ, Hardy TJ, Shah R, Hornby ST, Keogh K, Frank L, Al-Akash M, Upchurch EA, Frame RJ, Hughes M, Jelley C, Weaver S, Roy S, Sillo TO, Galanopoulos G, Cuming T, Cunha P, Tayeh S, Kaptanis S, Heshaishi M, Eisawi A, Abayomi M, Ngu WS, Fleming K, Singh Bajwa D, Chitre V, Aryal K, Ferris P, Silva M, Lammy S, Mohamed S, Khawaja A, Hussain A, Ghazanfar MA, Bellini MI, Ebdewi H, Elshaer M, Gravante G, Drake B, Ogedegbe A, Mukherjee D, Arhi C, Giwa Nusrat Iqbal L, Watson NF, Kumar Aggarwal S, Orchard P, Villatoro E, Willson PD, Wa K, Mok J, Woodman T, Deguara J, Garcea G, Babu BI, Dennison AR, Malde D, Lloyd D, Satheesan S, Al-Taan O, Boddy A, Slavin JP, Jones RP, Ballance L, Gerakopoulos S, Jambulingam P, Mansour S, Sakai N, Acharya V, Sadat MM, Karim L, Larkin D, Amin K, Khan A, Law J, Jamdar S, Smith SR, Sampat K, M O'shea K, Manu M, Asprou FM, Malik NS, Chang J, Johnstone M, Lewis M, Roberts GP, Karavadra B, Photi E, Hewes J, Gould L, Chambers A, Rodriguez D, O'Reilly DA, Rate AJ, Sekhar H, Henderson LT, Starmer BZ, Coe PO, Tolofari S, Barrie J, Bashir G, Sloane J, Madanipour S, Halkias C, Trevatt AEJ, Borowski DW, Hornsby J, Courtney MJ, Virupaksha S, Seymour K, Robinson S, Hawkins H, Bawa S, Gallagher PV, Reid A, Wood P, Finch JG, Parmar J, Stirland E, Gardner-Thorpe J, Al-Muhktar A, Peterson M, Majeed A, Bajwa FM, Martin J, Choy A, Tsang A, Pore N, Andrew DR, Al-Khyatt W, Taylor C, Bhandari S, Chambers A, Subramanium D, Toh SKC, Carter NC, Mercer SJ, Knight B, Tate S, Pearce B, Wainwright D, Vijay V, Alagaratnam S, Sinha S, Khan S, El-Hasani SS, Hussain AA, Bhattacharya V, Kansal N, Fasih T, Jackson C, Siddiqui MN, Chishti IA, Fordham IJ, Siddiqui Z, Bausbacher H, Geogloma I, Gurung K, Tsavellas G, Basynat P, Kiran Shrestha A, Basu S, Chhabra Mohan Harilingam A, Rabie M, Akhtar M, Kumar P, Jafferbhoy SF, Hussain N, Raza S, Haque M, Alam I, Aseem R, Patel S, Asad M, Booth MI, Ball WR, Wood CPJ, Pinho-Gomes AC, Kausar A, Rami Obeidallah M, Varghase J, Lodhia J, Bradley D, Rengifo C, Lindsay D, Gopalswamy S, Finlay I, Wardle S, Bullen N, Iftikhar SY, Awan A, Ahmed J, Leeder P, Fusai G, Bond-Smith G, Psica A, Puri Y, Hou D, Noble F, Szentpali K, Broadhurst J, Date R, Hossack MR, Li Goh Y, Turner P, Shetty V, Riera M, Macano CAW, Sukha A, Preston SR, Hoban JR, Puntis DJ, Williams SV, Krysztopik R, Kynaston J, Batt J, Doe M, Goscimski A, Jones GH, Smith SR, Hall C, Carty N, Ahmed J, Panteleimonitis S, Gunasekera RT, Sheel ARG, Lennon H, Hindley C, Reddy M, Kenny R, Elkheir N, McGlone ER, Rajaganeshan R, Hancorn K, Hargreaves A, Prasad R, Longbotham DA, Vijayanand D, Wijetunga I, Ziprin P, Nicolay CR, Yeldham G, Read E, Gossage JA, Rolph RC, Ebied H, Phull M, Khan MA, Popplewell M, Kyriakidis D, Hussain A, Henley N, Packer JR, Derbyshire L, Porter J, Appleton S, Farouk M, Basra M, Jennings NA, Ali S, Kanakala V, Ali H, Lane R, Dickson-Lowe R, Zarsadias P, Mirza D, Puig S, Al Amari K, Vijayan D, Sutcliffe R, Marudanayagam R, Hamady Z, Prasad AR, Patel A, Durkin D, Kaur P, Bowen L, Byrne JP, Pearson KL, Delisle TG, Davies J, Tomlinson MA, Johnpulle MA, Slawinski C, Macdonald A, Nicholson J, Newton K, Mbuvi J, Farooq A, Sidhartha Mothe B, Zafrani Z, Brett D, Francombe J, Spreadborough P, Barnes J, Cheung M, Al-Bahrani AZ, Preziosi G, Urbonas T, Alberts J, Mallik M, Patel K, Segaran A, Doulias T, Sufi PA, Yao C, Pollock S, Manzelli A, Wajed S, Kourkulos M, Pezzuto R, Wadley M, Hamilton E, Jaunoo S, Padwick R, Sayegh M, Newton RC, Hebbar M, Farag SF, Spearman J, Hamdan MF, D'Costa C, Blane C, Giles M, Peter MB, Hirst NA, Hossain T, Pannu A, El-Dhuwaib Y, Morrison TEM, Taylor GW, Thompson RLE, McCune K, Loughlin P, Lawther R, Byrnes CK, Simpson DJ, Mawhinney A, Warren C, McKay D, McIlmunn C, Martin S, MacArtney M, Diamond T, Davey P, Jones C, Clements JM, Digney R, Chan WM, McCain S, Gull S, Janeczko A, Dorrian E, Harris A, Dawson S, Johnston D, McAree B, Ghareeb E, Thomas G, Connelly M, McKenzie S, Cieplucha K, Spence G, Campbell W, Hooks G, Bradley N, Hill ADK, Cassidy JT, Boland M, Burke P, Nally DM, Hill ADK, Khogali E, Shabo W, Iskandar E, McEntee GP, O'Neill MA, Peirce C, Lyons EM, O'Sullivan AW, Thakkar R, Carroll P, Ivanovski I, Balfe P, Lee M, Winter DC, Kelly ME, Hoti E, Maguire D, Karunakaran P, Geoghegan JG, Martin ST, McDermott F, Cross KS, Cooke F, Zeeshan S, Murphy JO, Mealy K, Mohan HM, Nedujchelyn Y, Fahad Ullah M, Ahmed I, Giovinazzo F, Milburn J, Prince S, Brooke E, Buchan J, Khalil AM, Vaughan EM, Ramage MI, Aldridge RC, Gibson S, Nicholson GA, Vass DG, Grant AJ, Holroyd DJ, Jones MA, Sutton CMLR, O'Dwyer P, Nilsson F, Weber B, Williamson TK, Lalla K, Bryant A, Carter CR, Forrest CR, Hunter DI, Nassar AH, Orizu MN, Knight K, Qandeel H, Suttie S, Belding R, McClarey A, Boyd AT, Guthrie GJK, Lim PJ, Luhmann A, Watson AJM, Richards CH, Nicol L, Madurska M, Harrison E, Boyce KM, Roebuck A, Ferguson G, Pati P, Wilson MSJ, Dalgaty F, Fothergill L, Driscoll PJ, Mozolowski KL, Banwell V, Bennett SP, Rogers PN, Skelly BL, Rutherford CL, Mirza AK, Lazim T, Lim HCC, Duke D, Ahmed T, Beasley WD, Wilkinson MD, Maharaj G, Malcolm C, Brown TH, Shingler GM, Mowbray N, Radwan R, Morcous P, Wood S, Kadhim A, Stewart DJ, Baker AL, Tanner N, Shenoy H, Hafiz S, Marchi JA, Singh-Ranger D, Hisham E, Ainley P, O'Neill S, Terrace J, Napetti S, Hopwood B, Rhys T, Downing J, Kanavati O, Coats M, Aleksandrov D, Kallaway C, Yahya S, Weber B, Templeton A, Trotter M, Lo C, Dhillon A, Heywood N, Aawsaj Y, Hamdan A, Reece-Bolton O, McGuigan A, Shahin Y, Ali A, Luther A, Nicholson JA, Rajendran I, Boal M, Ritchie J. Population-based cohort study of variation in the use of emergency cholecystectomy for benign gallbladder diseases. Br J Surg 2016; 103:1716-1726. [PMID: 27748962 DOI: 10.1002/bjs.10288] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 06/21/2016] [Accepted: 07/06/2016] [Indexed: 01/05/2023]
Abstract
Abstract
Background
The aims of this prospective population-based cohort study were to identify the patient and hospital characteristics associated with emergency cholecystectomy, and the influences of these in determining variations between hospitals.
Methods
Data were collected for consecutive patients undergoing cholecystectomy in acute UK and Irish hospitals between 1 March and 1 May 2014. Potential explanatory variables influencing the performance of emergency cholecystectomy were analysed by means of multilevel, multivariable logistic regression modelling using a two-level hierarchical structure with patients (level 1) nested within hospitals (level 2).
Results
Data were collected on 4744 cholecystectomies from 165 hospitals. Increasing age, lower ASA fitness grade, biliary colic, the need for further imaging (magnetic retrograde cholangiopancreatography), endoscopic interventions (endoscopic retrograde cholangiopancreatography) and admission to a non-biliary centre significantly reduced the likelihood of an emergency cholecystectomy being performed. The multilevel model was used to calculate the probability of receiving an emergency cholecystectomy for a woman aged 40 years or over with an ASA grade of I or II and a BMI of at least 25·0 kg/m2, who presented with acute cholecystitis with an ultrasound scan showing a thick-walled gallbladder and a normal common bile duct. The mean predicted probability of receiving an emergency cholecystectomy was 0·52 (95 per cent c.i. 0·45 to 0·57). The predicted probabilities ranged from 0·02 to 0·95 across the 165 hospitals, demonstrating significant variation between hospitals.
Conclusion
Patients with similar characteristics presenting to different hospitals with acute gallbladder pathology do not receive comparable care.
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Affiliation(s)
| | - R S Vohra
- Trent Oesophago-Gastric Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - S Pasquali
- Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy
| | - A J Kirkham
- Cancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham, UK
| | - P Marriott
- West Midlands Research Collaborative, Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - M Johnstone
- West Midlands Research Collaborative, Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - P Spreadborough
- West Midlands Research Collaborative, Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - D Alderson
- Academic Department of Surgery, University of Birmingham, Birmingham, UK
| | - E A Griffiths
- Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - S Fenwick
- Aintree University Hospital NHS Foundation Trust
| | - M Elmasry
- Aintree University Hospital NHS Foundation Trust
| | - Q Nunes
- Aintree University Hospital NHS Foundation Trust
| | - D Kennedy
- Aintree University Hospital NHS Foundation Trust
| | | | | | | | | | - D Mason
- Wirral University Teaching Hospital
| | | | | | | | - S Jamel
- Barnet and Chase Farm Hospital
| | | | - S Zafar
- Barnet and Chase Farm Hospital
| | | | - N Samuel
- Barnsley District General Hospital
| | - F Dar
- Barnsley District General Hospital
| | | | | | | | | | | | | | - K Wheatley
- Sandwell and West Birmingham Hospitals NHS Trust
| | - T Nieto
- Sandwell and West Birmingham Hospitals NHS Trust
| | - S Ayaani
- Sandwell and West Birmingham Hospitals NHS Trust
| | - H Youssef
- Heart of England Foundation NHS Trust
| | | | - H Watkin
- Heart of England Foundation NHS Trust
| | - D Naumann
- Heart of England Foundation NHS Trust
| | - S Emeshi
- Heart of England Foundation NHS Trust
| | | | - K Lee
- Heart of England Foundation NHS Trust
| | - N Joji
- Heart of England Foundation NHS Trust
| | - J Heath
- Blackpool Teaching Hospitals NHS Foundation Trust
| | - R L Teasdale
- Blackpool Teaching Hospitals NHS Foundation Trust
| | | | - P J Needham
- Bradford Teaching Hospitals NHS Foundation Trust
| | - H Welbourn
- Bradford Teaching Hospitals NHS Foundation Trust
| | - L Forster
- Bradford Teaching Hospitals NHS Foundation Trust
| | - D Finch
- Bradford Teaching Hospitals NHS Foundation Trust
| | | | - W Robb
- University Hospitals Bristol NHS Trust
| | | | | | | | | | | | | | | | - B Dobbins
- Calderdale and Huddersfield NHS Trust
| | | | | | | | - M Pellen
- Hull and East Yorkshire NHS Trust
| | | | - W-M Ho
- Hull and East Yorkshire NHS Trust
| | - V Miu
- Hull and East Yorkshire NHS Trust
| | - T J White
- Chesterfield Royal Hospital NHS Foundation Trust
| | - K A Hodgkins
- Chesterfield Royal Hospital NHS Foundation Trust
| | - A Kinghorn
- Chesterfield Royal Hospital NHS Foundation Trust
| | - M G Tutton
- Colchester Hospital University NHS Foundation Trust
| | - Y A Al-Abed
- Colchester Hospital University NHS Foundation Trust
| | - D Menzies
- Colchester Hospital University NHS Foundation Trust
| | - A Ahmad
- Colchester Hospital University NHS Foundation Trust
| | - J Reed
- Colchester Hospital University NHS Foundation Trust
| | - S Khan
- Colchester Hospital University NHS Foundation Trust
| | - D Monk
- Countess of Chester NHS Foundation Trust
| | - L J Vitone
- Countess of Chester NHS Foundation Trust
| | - G Murtaza
- Countess of Chester NHS Foundation Trust
| | - A Joel
- Countess of Chester NHS Foundation Trust
| | | | - D Shier
- Croydon Health Services NHS Trust
| | - C Zhang
- Croydon Health Services NHS Trust
| | | | | | | | - M J Jones
- North Cumbria University Hospitals Trust
| | - M Elsayed
- North Cumbria University Hospitals Trust
| | - L Tuck
- North Cumbria University Hospitals Trust
| | - J Wayman
- North Cumbria University Hospitals Trust
| | - K Carney
- North Cumbria University Hospitals Trust
| | | | | | | | | | | | | | | | | | | | | | - M P Tilston
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - M Gough
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - T Wallace
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - S Singh
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - J Downing
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - K A Mockford
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - E Issa
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - N Shah
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - N Chauhan
- Northern Lincolnshire and Goole NHS Foundation Trust
| | - T R Wilson
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - A Forouzanfar
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - J R L Wild
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - E Nofal
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - C Bunnell
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - K Madbak
- Doncaster and Bassetlaw Hospitals NHS Foundation Trust
| | - S T V Rao
- Dorset County Hospital NHS Foundation Trust
| | - L Devoto
- Dorset County Hospital NHS Foundation Trust
| | - N Siddiqi
- Dorset County Hospital NHS Foundation Trust
| | - Z Khawaja
- Dorset County Hospital NHS Foundation Trust
| | | | | | | | | | | | | | | | | | - D M Rae
- Frimley Park Hospital NHS Trust
| | | | | | | | | | - O J Old
- Gloucestershire Hospitals NHS Trust
| | | | - R Shah
- Gloucestershire Hospitals NHS Trust
| | | | - K Keogh
- Gloucestershire Hospitals NHS Trust
| | - L Frank
- Gloucestershire Hospitals NHS Trust
| | - M Al-Akash
- Great Western Hospitals NHS Foundation Trust
| | | | - R J Frame
- Harrogate and District NHS Foundation Trust
| | - M Hughes
- Harrogate and District NHS Foundation Trust
| | - C Jelley
- Harrogate and District NHS Foundation Trust
| | | | | | | | | | - T Cuming
- Homerton University Hospital NHS Trust
| | - P Cunha
- Homerton University Hospital NHS Trust
| | - S Tayeh
- Homerton University Hospital NHS Trust
| | | | | | - A Eisawi
- Tees Hospitals NHS Foundation Trust
| | | | - W S Ngu
- Tees Hospitals NHS Foundation Trust
| | | | | | - V Chitre
- Paget University Hospitals NHS Foundation Trust
| | - K Aryal
- Paget University Hospitals NHS Foundation Trust
| | - P Ferris
- Paget University Hospitals NHS Foundation Trust
| | | | | | | | | | | | | | | | - H Ebdewi
- Kettering General Hospital NHS Foundation Trust
| | - M Elshaer
- Kettering General Hospital NHS Foundation Trust
| | - G Gravante
- Kettering General Hospital NHS Foundation Trust
| | - B Drake
- Kettering General Hospital NHS Foundation Trust
| | - A Ogedegbe
- Barking, Havering and Redbridge University Hospitals NHS Trust
| | - D Mukherjee
- Barking, Havering and Redbridge University Hospitals NHS Trust
| | - C Arhi
- Barking, Havering and Redbridge University Hospitals NHS Trust
| | | | | | | | | | | | | | - K Wa
- Kingston Hospital NHS Foundation Trust
| | - J Mok
- Kingston Hospital NHS Foundation Trust
| | - T Woodman
- Kingston Hospital NHS Foundation Trust
| | - J Deguara
- Kingston Hospital NHS Foundation Trust
| | - G Garcea
- University Hospitals of Leicester NHS Trust
| | - B I Babu
- University Hospitals of Leicester NHS Trust
| | | | - D Malde
- University Hospitals of Leicester NHS Trust
| | - D Lloyd
- University Hospitals of Leicester NHS Trust
| | | | - O Al-Taan
- University Hospitals of Leicester NHS Trust
| | - A Boddy
- University Hospitals of Leicester NHS Trust
| | - J P Slavin
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - R P Jones
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - L Ballance
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - S Gerakopoulos
- Leighton Hospital, Mid Cheshire Hospitals NHS Foundation Trust
| | - P Jambulingam
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - S Mansour
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - N Sakai
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - V Acharya
- Luton and Dunstable University Hospital NHS Foundation Trust
| | - M M Sadat
- Macclesfield District General Hospital
| | - L Karim
- Macclesfield District General Hospital
| | - D Larkin
- Macclesfield District General Hospital
| | - K Amin
- Macclesfield District General Hospital
| | - A Khan
- Central Manchester NHS Foundation Trust
| | - J Law
- Central Manchester NHS Foundation Trust
| | - S Jamdar
- Central Manchester NHS Foundation Trust
| | - S R Smith
- Central Manchester NHS Foundation Trust
| | - K Sampat
- Central Manchester NHS Foundation Trust
| | | | - M Manu
- Royal Wolverhampton Hospitals NHS Trust
| | | | - N S Malik
- Royal Wolverhampton Hospitals NHS Trust
| | - J Chang
- Royal Wolverhampton Hospitals NHS Trust
| | | | - M Lewis
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | - G P Roberts
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | - B Karavadra
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | - E Photi
- Norfolk and Norwich University Hospitals NHS Foundation Trust
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - J Hornsby
- North Tees and Hartlepool NHS Foundation Trust
| | | | | | - K Seymour
- Northumbria Healthcare NHS Foundation Trust
| | - S Robinson
- Northumbria Healthcare NHS Foundation Trust
| | - H Hawkins
- Northumbria Healthcare NHS Foundation Trust
| | - S Bawa
- Northumbria Healthcare NHS Foundation Trust
| | | | - A Reid
- Northumbria Healthcare NHS Foundation Trust
| | - P Wood
- Northumbria Healthcare NHS Foundation Trust
| | - J G Finch
- Northampton General Hospital NHS Trust
| | - J Parmar
- Northampton General Hospital NHS Trust
| | | | | | - A Al-Muhktar
- Sheffield Teaching Hospitals NHS Foundation Trust
| | - M Peterson
- Sheffield Teaching Hospitals NHS Foundation Trust
| | - A Majeed
- Sheffield Teaching Hospitals NHS Foundation Trust
| | | | | | - A Choy
- Peterborough City Hospital
| | | | - N Pore
- United Lincolnshire Hospitals NHS Trust
| | | | | | - C Taylor
- United Lincolnshire Hospitals NHS Trust
| | | | | | | | | | | | | | | | - S Tate
- Portsmouth Hospitals NHS Trust
| | | | | | - V Vijay
- The Princess Alexandra Hospital NHS Trust
| | | | - S Sinha
- The Princess Alexandra Hospital NHS Trust
| | - S Khan
- The Princess Alexandra Hospital NHS Trust
| | | | - A A Hussain
- King's College Hospital NHS Foundation Trust
| | | | - N Kansal
- Gateshead Health NHS Foundation Trust
| | - T Fasih
- Gateshead Health NHS Foundation Trust
| | - C Jackson
- Gateshead Health NHS Foundation Trust
| | | | | | | | | | | | | | - K Gurung
- Queen Elizabeth Hospital NHS Trust
| | - G Tsavellas
- East Kent Hospitals University NHS Foundation Trust
| | - P Basynat
- East Kent Hospitals University NHS Foundation Trust
| | | | - S Basu
- East Kent Hospitals University NHS Foundation Trust
| | | | - M Rabie
- East Kent Hospitals University NHS Foundation Trust
| | - M Akhtar
- East Kent Hospitals University NHS Foundation Trust
| | - P Kumar
- Burton Hospitals NHS Foundation Trust
| | | | - N Hussain
- Burton Hospitals NHS Foundation Trust
| | - S Raza
- Burton Hospitals NHS Foundation Trust
| | - M Haque
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - I Alam
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - R Aseem
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - S Patel
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - M Asad
- Royal Albert Edward Infirmary, Wigan Wrightington and Leigh NHS Trust
| | - M I Booth
- Royal Berkshire NHS Foundation Trust
| | - W R Ball
- Royal Berkshire NHS Foundation Trust
| | | | | | | | | | - J Varghase
- Royal Bolton Hospital NHS Foundation Trust
| | - J Lodhia
- Royal Bolton Hospital NHS Foundation Trust
| | - D Bradley
- Royal Bolton Hospital NHS Foundation Trust
| | - C Rengifo
- Royal Bolton Hospital NHS Foundation Trust
| | - D Lindsay
- Royal Bolton Hospital NHS Foundation Trust
| | | | | | | | | | | | - A Awan
- Royal Derby NHS Foundation Trust
| | - J Ahmed
- Royal Derby NHS Foundation Trust
| | - P Leeder
- Royal Derby NHS Foundation Trust
| | | | | | | | | | - D Hou
- Hampshire Hospital NHS Foundation Trust
| | - F Noble
- Hampshire Hospital NHS Foundation Trust
| | | | | | - R Date
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - M R Hossack
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - Y Li Goh
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - P Turner
- Lancashire Teaching Hospitals NHS Foundation Trust
| | - V Shetty
- Lancashire Teaching Hospitals NHS Foundation Trust
| | | | | | | | - S R Preston
- Royal Surrey County Hospital NHS Foundation Trust
| | - J R Hoban
- Royal Surrey County Hospital NHS Foundation Trust
| | - D J Puntis
- Royal Surrey County Hospital NHS Foundation Trust
| | - S V Williams
- Royal Surrey County Hospital NHS Foundation Trust
| | | | | | - J Batt
- Royal United Hospital Bath NHS Trust
| | - M Doe
- Royal United Hospital Bath NHS Trust
| | | | | | | | - C Hall
- Salford Royal NHS Foundation Trust
| | - N Carty
- Salisbury Hospital Foundation Trust
| | - J Ahmed
- Salisbury Hospital Foundation Trust
| | | | | | | | - H Lennon
- Southport and Ormskirk Hospital NHS Trust
| | - C Hindley
- Southport and Ormskirk Hospital NHS Trust
| | - M Reddy
- St George's Healthcare NHS Trust
| | - R Kenny
- St George's Healthcare NHS Trust
| | | | | | | | - K Hancorn
- St Helens and Knowsley Teaching Hospitals NHS Trust
| | - A Hargreaves
- St Helens and Knowsley Teaching Hospitals NHS Trust
| | | | | | | | | | - P Ziprin
- Imperial College Healthcare NHS Trust
| | | | - G Yeldham
- Imperial College Healthcare NHS Trust
| | - E Read
- Imperial College Healthcare NHS Trust
| | | | | | | | | | - M A Khan
- Mid Staffordshire NHS Foundation Trust
| | | | | | - A Hussain
- Mid Staffordshire NHS Foundation Trust
| | | | | | | | | | | | | | | | | | - S Ali
- City Hospitals Sunderland NHS Foundation Trust
| | - V Kanakala
- City Hospitals Sunderland NHS Foundation Trust
| | - H Ali
- Tunbridge Wells and Maidstone NHS Trust
| | - R Lane
- Tunbridge Wells and Maidstone NHS Trust
| | | | | | - D Mirza
- University Hospital Birmingham NHS Foundation Trust
| | - S Puig
- University Hospital Birmingham NHS Foundation Trust
| | - K Al Amari
- University Hospital Birmingham NHS Foundation Trust
| | - D Vijayan
- University Hospital Birmingham NHS Foundation Trust
| | - R Sutcliffe
- University Hospital Birmingham NHS Foundation Trust
| | | | - Z Hamady
- University Hospital Coventry and Warwickshire NHS Trust
| | - A R Prasad
- University Hospital Coventry and Warwickshire NHS Trust
| | - A Patel
- University Hospital Coventry and Warwickshire NHS Trust
| | - D Durkin
- University Hospital of North Staffordshire NHS Trust
| | - P Kaur
- University Hospital of North Staffordshire NHS Trust
| | - L Bowen
- University Hospital of North Staffordshire NHS Trust
| | - J P Byrne
- University Hospital Southampton NHS Foundation Trust
| | - K L Pearson
- University Hospital Southampton NHS Foundation Trust
| | - T G Delisle
- University Hospital Southampton NHS Foundation Trust
| | - J Davies
- University Hospital Southampton NHS Foundation Trust
| | | | | | | | - A Macdonald
- University Hospital South Manchester NHS Foundation Trust
| | - J Nicholson
- University Hospital South Manchester NHS Foundation Trust
| | - K Newton
- University Hospital South Manchester NHS Foundation Trust
| | - J Mbuvi
- University Hospital South Manchester NHS Foundation Trust
| | - A Farooq
- Warrington and Halton Hospitals NHS Trust
| | | | - Z Zafrani
- Warrington and Halton Hospitals NHS Trust
| | - D Brett
- Warrington and Halton Hospitals NHS Trust
| | | | | | - J Barnes
- South Warwickshire NHS Foundation Trust
| | - M Cheung
- South Warwickshire NHS Foundation Trust
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - M Wadley
- Worcestershire Acute Hospitals NHS Trust
| | - E Hamilton
- Worcestershire Acute Hospitals NHS Trust
| | - S Jaunoo
- Worcestershire Acute Hospitals NHS Trust
| | - R Padwick
- Worcestershire Acute Hospitals NHS Trust
| | - M Sayegh
- Western Sussex Hospitals NHS Foundation Trust
| | - R C Newton
- Western Sussex Hospitals NHS Foundation Trust
| | - M Hebbar
- Western Sussex Hospitals NHS Foundation Trust
| | - S F Farag
- Western Sussex Hospitals NHS Foundation Trust
| | | | | | | | - C Blane
- Yeovil District Hospital NHS Trust
| | - M Giles
- York Teaching Hospital NHS Foundation Trust
| | - M B Peter
- York Teaching Hospital NHS Foundation Trust
| | - N A Hirst
- York Teaching Hospital NHS Foundation Trust
| | - T Hossain
- York Teaching Hospital NHS Foundation Trust
| | - A Pannu
- York Teaching Hospital NHS Foundation Trust
| | | | | | - G W Taylor
- York Teaching Hospital NHS Foundation Trust
| | | | | | | | | | | | | | | | | | | | | | | | | | - T Diamond
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - P Davey
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - C Jones
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - J M Clements
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - R Digney
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - W M Chan
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - S McCain
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - S Gull
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - A Janeczko
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - E Dorrian
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - A Harris
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - S Dawson
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - D Johnston
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | - B McAree
- Belfast City Hospital, Mater Infirmorum Hospital Belfast and Royal Victoria Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | - P Burke
- University Hospital Limerick
| | | | - A D K Hill
- Louth County Hospital and Our Lady of Lourdes Hospital
| | - E Khogali
- Louth County Hospital and Our Lady of Lourdes Hospital
| | - W Shabo
- Louth County Hospital and Our Lady of Lourdes Hospital
| | - E Iskandar
- Louth County Hospital and Our Lady of Lourdes Hospital
| | | | | | | | | | | | | | | | | | - P Balfe
- St Luke's General Hospital Kilkenny
| | - M Lee
- St Luke's General Hospital Kilkenny
| | - D C Winter
- St Vincent's University and Private Hospitals, Dublin
| | - M E Kelly
- St Vincent's University and Private Hospitals, Dublin
| | - E Hoti
- St Vincent's University and Private Hospitals, Dublin
| | - D Maguire
- St Vincent's University and Private Hospitals, Dublin
| | - P Karunakaran
- St Vincent's University and Private Hospitals, Dublin
| | - J G Geoghegan
- St Vincent's University and Private Hospitals, Dublin
| | - S T Martin
- St Vincent's University and Private Hospitals, Dublin
| | - F McDermott
- St Vincent's University and Private Hospitals, Dublin
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - S Gibson
- Crosshouse Hospital, Ayrshire and Arran
| | | | - D G Vass
- Crosshouse Hospital, Ayrshire and Arran
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - H C C Lim
- Glangwili General and Prince Philip Hospital
| | - D Duke
- Glangwili General and Prince Philip Hospital
| | - T Ahmed
- Glangwili General and Prince Philip Hospital
| | - W D Beasley
- Glangwili General and Prince Philip Hospital
| | | | - G Maharaj
- Glangwili General and Prince Philip Hospital
| | - C Malcolm
- Glangwili General and Prince Philip Hospital
| | | | | | | | - R Radwan
- Morriston and Singleton Hospitals
| | | | - S Wood
- Princess of Wales Hospital
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Su Y, Wei W, Xue M, Robert L, Tsoi J, Graeber T, Ribas A, Heath J. Abstract 879: Single cell analysis resolves combinatory targeted therapy for arresting the BRAFi-induced cellular dedifferentiation of metastatic melanomas. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-879] [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
Targeted therapy that inhibits the BRAF (V600E) protein has shown impressive initial responses in metastatic melanoma patients. However, acquired drug resistance, derived from tumor heterogeneity, always limits its efficacy and compromises its treatment outcomes. Melanocyte to neural crest transition (MNT) has been observed to play crucial role in early stage adaptive drug tolerance, and the mathematic modeling indicates the transition is contributed from both stochastic phenotypic transition and non-genetic selection. Whole transcriptomic analysis enriched important signaling proteins that are involved in the resistance development process. Single cell proteomic analysis of those proteins was performed on patient-derived melanoma models to further study the early stage drug tolerance. This resolves how protein signaling network coordination rewires in the process, which cannot be resolved from proteomic analysis of bulk tumor tissue. Signaling network coordination analysis indicates that co-inhibiting the hubs of the network (MEK, NFKB-p65) could keep cells in the drug-susceptible stages. The combination therapy that co-inhibits mutant BRAF, MEK and NFKB-p65 together successfully arrested the MNT transition and induced a sustained tumor growth suppression in multiple patient-derived melanoma cell lines. This study provides us a brand-new way of using single cell proteomic analysis to infer effective combinations by resolving protein signaling network coordination that is inaccessible through traditional bulk-level proteomic measurement.
Citation Format: Yapeng Su, Wei Wei, Min Xue, Lidia Robert, Jennifer Tsoi, Thomas Graeber, Antoni Ribas, James Heath. Single cell analysis resolves combinatory targeted therapy for arresting the BRAFi-induced cellular dedifferentiation of metastatic melanomas. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 879.
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Hull J, Heath J, Bishop W. Supraclavicular brachial plexus block for dialysis intervention. J Vasc Interv Radiol 2016. [DOI: 10.1016/j.jvir.2015.12.421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Bennett L, Heath J, Mitchell R. An inpatient observation and comparison of the bennett's I.p.p.R. And aerosol methods of administering salbutamol. ACTA ACUST UNITED AC 2014; 22:111-3. [PMID: 25026223 DOI: 10.1016/s0004-9514(14)61006-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Compared with aerosol administration the Bennett's Intermittent Positive Pressure Respirator (I.P.P.R.) has been the most favoured method of Salbutamol administration in hospitals for the treatment of asthma or Chronic Obstructive Airways Disease (C.O.A.D.).
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Abstract
In 1971 tests were performed by Mrs. D. Bieri, Mrs. J. Heath of the School of Physio-therapy, New South Wales, and Dr. S. Hunyor of the Pacemaker Clinic, Royal Prince Alfred Hospital. Until this time there was no theory regarding diathermy on patients with implanted pacemakers.
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Affiliation(s)
- J Heath
- School of Physiotherapy, N.S.W
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Abstract
This study aimed to synthesise the illness narratives of individuals living with a pituitary tumour. Eight adults with a pituitary tumour were recruited from an endocrinology service in the north-west of England. A narrative methodology was adopted which investigated elements of the individual narratives such as metaphor and structure but which also aimed to produce a joint account of experience in this particular illness context by extracting themes across the stories; these are presented as part of a chronological narrative. However, the resulting group story was also analysed in terms of different types of narrative plots. The group narrative started from the recognition of symptoms and then diagnosis though treatment to post-treatment and future plans. In terms of narrative plots, one notable element of the joint narrative was the flow between the culturally dominant restitution narrative, where participants focused on treatment and recovery and the chaos narrative when recovery did not seem possible. The findings contain many elements consistent with previous research; however, the use of a celebrity figure to communicate about the illness experience and a perception that objects or individuals should not be taken at face value emerged as more novel findings.
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Affiliation(s)
- Jane Simpson
- a Clinical Psychology , School of Health and Medicine, Lancaster University , Lancaster , UK
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Deyle KM, Hee YQ, Millward S, Heath J. Abstract LB-4: Use of iterative in situ click chemistry to develop a capture agent specific for a transforming point mutation in the pleckstrin homology domain of Akt1. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-lb-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
We present an iterative in situ click chemistry approach to sequentially assemble peptide ligands that can selectively bind to and inhibit a transforming point mutation (E17K) found in the Pleckstrin Homology Domain (PHD) of the Akt1 kinase. The Akt1 kinase plays a critical role in the PI3K signaling pathway - the activation of which is closely linked to tumor development and cancer cell survival. It has recently been shown that the E17K mutation in the PHD of Akt1 results in an increased affinity of the PHD for the PIP3 substrate. Consequently, deregulated recruitment of Akt1 to the cell membrane causes constitutive activation of the PI3K pathway, which has been shown to induce leukemia in mice.
We previously showed that peptide affinity agents that mimic the performance of antibodies can be created through the use of iterative in situ click chemistry. These affinity agents have more recently been shown to penetrate cells and function as enzyme inhibitors or activators. Because the selective inhibition of this E17K mutant would be a potentially powerful therapeutic agent, herein a similar in situ click technique was used to create a capture agent targeting the mutant PHD.
To selectively target this E17K point mutation, we employed an epitope targeting strategy that began with a 33mer peptide “epitope” fragment from Akt1-PHD containing the mutation (residues 1-32). An alkyne-containing amino acid was substituted into the sequence near the site of the mutation to facilitate an in situ click reaction near that point. An azide-equipped comprehensive One-Bead-One-Compound (OBOC) peptide library was screened for the positive in situ click product with the epitope fragment. The resulting hit “anchors” were sequenced and their affinity and selectivity to the E17K mutant target were validated. Those anchor peptides were further expanded into biligands by repeating the in situ click screening steps, but this time against the full length PHD. Early results with the identified biligand show that the affinity and selectivity for the mutant protein is significantly enhanced compared to the anchor peptide. Preliminary inhibition studies also show that the biligand can partially inhibit the binding of the mutant PHD to the PIP3 substrate.
Further studies are currently being conducted to characterize the identified ligands and to evaluate their efficacy as a potential therapeutic. The epitope targeting approach combined with the iterative in situ click screening represents a unique methodology to develop capture agents targeting protein mutations. The resultant selective ligands hold highly anticipated potential value in the field of cancer treatment and/or diagnosis.
Citation Format: Kaycie M. Deyle, Ying Qiao Hee, Steven Millward, James Heath. Use of iterative in situ click chemistry to develop a capture agent specific for a transforming point mutation in the pleckstrin homology domain of Akt1. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr LB-4. doi:10.1158/1538-7445.AM2013-LB-4
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Affiliation(s)
| | | | | | - James Heath
- 1California Institute of Technology, Pasadena, CA
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Bie L, Ju Y, Jin Z, Donovan L, Birks S, Grunewald L, Zmuda F, Pilkington G, Kaul A, Chen YH, Dahiya S, Emnett R, Gianino S, Gutmann D, Poschl J, Bianchi E, Bockstaller M, Neumann P, Schuller U, Gevorgian A, Morozova E, Kazantsev I, Iukhta T, Safonova S, Punanov Y, Zheludkova O, Afanasyev B, Buss M, Remke M, Gandhi K, Kool M, Northcott P, Pfister S, Taylor M, Castellino R, Thompson J, Margraf L, Donahue D, Head H, Murray J, Burger P, Wortham M, Reitman Z, He Y, Bigner D, Yan H, Lee C, Triscott J, Foster C, Manoranjan B, Pambid MR, Fotovati A, Berns R, Venugopal C, O'Halloran K, Narendran A, Northcott P, Taylor MD, Singh SK, Singhal A, Rassekh R, Maxwell CA, Dunham C, Dunn SE, Pambid MR, Berns R, Hu K, Adomat H, Moniri M, Chin MY, Hessein M, Zisman N, Maurer N, Dunham C, Guns E, Dunn S, Koks C, De Vleeschouwer S, Graf N, Van Gool S, D'Asti E, Huang A, Korshunov A, Pfister S, Rak J, Gump W, Moriarty T, Gump W, Skjei K, Karkare S, Castelo-Branco P, Choufani S, Mack S, Gallagher D, Zhang C, Merino D, Wasserman J, Kool M, Jones DT, Croul S, Kreitzer F, Largaespada D, Conklin B, Taylor M, Weiss W, Garzia L, Morrissy S, Zayne K, Wu X, Dirks P, Hawkins C, Dick J, Stein L, Collier L, Largaespada D, Dupuy A, Taylor M, Rampazzo G, Moraes L, Paniago M, Oliveira I, Hitzler J, Silva N, Cappellano A, Cavalheiro S, Alves MT, Cerutti J, Toledo S, Liu Z, Zhao X, Mao H, Baxter P, Wang JCY, Huang Y, Yu L, Su J, Adekunle A, Perlaky L, Hurwitz M, Hurwitz R, Lau C, Chintagumpala M, Blaney S, Baruchel S, Li XN, Zhang J, Hariono S, Hashizume R, Fan Q, James CD, Weiss WA, Nicolaides T, Madsen PJ, Slaunwhite ES, Dirks PB, Ma JF, Henn RE, Hanno AG, Boucher KL, Storm PB, Resnick AC, Lourdusamy A, Rogers H, Ward J, Rahman R, Malkin D, Gilbertson R, Grundy R, Lourdusamy A, Rogers H, Ward J, Rahman R, Gilbertson R, Grundy R, Karajannis M, Fisher M, Pfister S, Milla S, Cohen K, Legault G, Wisoff J, Harter D, Merkelson A, Bloom M, Dhall G, Jones D, Korshunov A, Taylor MD, Pfister S, Eberhart C, Sievert A, Resnick A, Zagzag D, Allen J, Hankinson T, Gump J, Serrano-Almeida C, Torok M, Weksberg R, Handler M, Liu A, Foreman N, Garancher A, Rocques N, Miquel C, Sainte-Rose C, Delattre O, Bourdeaut F, Eychene A, Tabori U, Pouponnot C, Danielpour M, Levy R, Antonuk CD, Rodriguez J, Aravena JM, Kim GB, Gate D, Bannykh S, Svendsen C, Huang X, Town T, Breunig J, Amakye D, Robinson D, Rose K, Cho YJ, Ligon KL, Sharp T, Ando Y, Geoerger B, He Y, Doz F, Ashley D, Hargrave D, Casanova M, Tawbi H, Heath J, Bouffet E, Brandes AA, Chisholm J, Rodon J, Dubuc AM, Thomas A, Mita A, MacDonald T, Kieran M, Eisenstat D, Song X, Danielpour M, Levy R, Antonuk CD, Rodriguez J, Hashizume R, Aravena JM, Kim GB, Gate D, Bannykh S, Svendsen C, Town T, Breunig J, Morrissy AS, Mayoh C, Lo A, Zhang W, Thiessen N, Tse K, Moore R, Mungall A, Wu X, Van Meter TE, Cho YJ, Collins VP, MacDonald TJ, Li XN, Stehbens S, Fernandez-Lopez A, Malkin D, Marra MA, Taylor MD, Karajannis M, Legault G, Hagiwara M, Vega E, Merkelson A, Wisoff J, Younger S, Golfinos J, Roland JT, Allen J, Antonuk CD, Levy R, Kim GB, Town T, Danielpour M, Breunig J, Pak E, Barshow S, Zhao X, Ponomaryov T, Segal R, Levy R, Antonuk CD, Aravena JM, Kim GB, Svendsen C, Town T, Danielpour M, Zhu S, Breunig J, Chi S, Cohen K, Fisher M, Biegel J, Bowers D, Fangusaro J, Manley P, Janss A, Zimmerman MA, Wu X, Kieran M, Sayour E, Pham C, Sanchez-Perez L, Snyder D, Flores C, Kemeny H, Xie W, Cui X, Bigner D, Taylor MD, Sampson J, Mitchell D, Bandopadhayay P, Nguyen B, Masoud S, Vue N, Gholamin S, Yu F, Schubert S, Bergthold G, Weiss WA, Mitra S, Qi J, Bradner J, Kieran M, Beroukhim R, Cho YJ, Reddick W, Glass J, Ji Q, Paulus E, James CD, Gajjar A, Ogg R, Vanner R, Remke M, Aviv T, Lee L, Zhu X, Clarke I, Taylor M, Dirks P, Shuman MA, Hamilton R, Pollack I, Calligaris D, Liu X, Feldman D, Thompson C, Ide J, Buhrlage S, Gray N, Kieran M, Jan YN, Stiles C, Agar N, Remke M, Cavalli FMG, Northcott PA, Kool M, Pfister SM, Taylor MD, Project MAGIC, Rakopoulos P, Jan LY, Pajovic S, Buczkowicz P, Morrison A, Bouffet E, Bartels U, Becher O, Hawkins C, Truffaux N, Puget S, Philippe C, Gump W, Castel D, Taylor K, Mackay A, Le Dret L, Saulnier P, Calmon R, Boddaert N, Blauwblomme T, Sainte-Rose C, Jones C, Mutchnick I, Grill J, Liu X, Ebling M, Ide J, Wang L, Davis E, Marchionni M, Stuart D, Alberta J, Kieran M, Li KKW, Stiles C, Agar N, Remke M, Cavalli FMG, Northcott PA, Kool M, Pfister SM, Taylor MD, Project MAGIC, Tien AC, Pang JCS, Griveau A, Rowitch D, Ramkissoon L, Horowitz P, Craig J, Ramkissoon S, Rich B, Bergthold G, Tabori U, Taha H, Ng HK, Bowers D, Hawkins C, Packer R, Eberhart C, Goumnerova L, Chan J, Santagata S, Pomeroy S, Ligon A, Kieran M, Jackson S, Beroukhim R, Ligon K, Kuan CT, Chandramohan V, Keir S, Pastan I, Bigner D, Zhou Z, Ho S, Voss H, Patay Z, Souweidane M, Salloum R, DeWire M, Fouladi M, Goldman S, Chow L, Hummel T, Dorris K, Miles L, Sutton M, Howarth R, Stevenson C, Leach J, Griesinger A, Donson A, Hoffman L, Birks D, Amani V, Handler M, Foreman N, Sangar MC, Pai A, Pedro K, Ditzler SH, Girard E, Olson J, Gustafson WC, Meyerowitz J, Nekritz E, Charron E, Matthay K, Hertz N, Onar-Thomas A, Shokat K, Weiss W, Hanaford A, Raabe E, Eberhart C, Griesinger A, Donson A, Hoffman L, Amani V, Birks D, Gajjar A, Handler M, Mulcahy-Levy J, Foreman N, Olow AK, Dasgupta T, Yang X, Mueller S, Hashizume R, Kolkowitz I, Weiss W, Broniscer A, Resnick AC, Sievert AJ, Nicolaides T, Prados MD, Berger MS, Gupta N, James CD, Haas-Kogan DA, Flores C, Pham C, Dietl SM, Snyder D, Sanchez-Perez L, Bigner D, Sampson J, Mitchell D, Prakash V, Batanian J, Guzman M, Geller T, Pham CD, Wolfl M, Pei Y, Flores C, Snyder D, Bigner DD, Sampson JH, Wechsler-Reya RJ, Mitchell DA, Van Ommeren R, Venugopal C, Manoranjan B, Beilhack A, McFarlane N, Hallett R, Hassell J, Dunn S, Singh S, Dasgupta T, Olow A, Yang X, Hashizume R, Mueller S, Riedel S, Nicolaides T, Kolkowitz I, Weiss W, Prados M, Gupta N, James CD, Haas-Kogan D, Zhao H, Li L, Picotte K, Monoranu C, Stewart R, Modzelewska K, Boer E, Picard D, Huang A, Radiloff D, Lee C, Dunn S, Hutt M, Nazarian J, Dietl S, Price A, Lim KJ, Warren K, Chang H, Eberhart CG, Raabe EH, Persson A, Huang M, Chandler-Militello D, Li N, Vince GH, Berger M, James D, Goldman S, Weiss W, Lindquist R, Tate M, Rowitch D, Alvarez-Buylla A, Hoffman L, Donson A, Eyrich M, Birks D, Griesinger A, Amani V, Handler M, Foreman N, Meijer L, Walker D, Grundy R, O'Dowd S, Jaspan T, Schlegel PG, Dineen R, Fotovati A, Radiloff D, Coute N, Triscott J, Chen J, Yip S, Louis D, Toyota B, Hukin J, Weitzel D, Rassekh SR, Singhal A, Dunham C, Dunn S, Ahsan S, Hanaford A, Taylor I, Eberhart C, Raabe E, Sun YG, Ashcraft K, Stiles C, Han L, Zhang K, Chen L, Shi Z, Pu P, Dong L, Kang C, Cordero F, Lewis P, Liu C, Hoeman C, Schroeder K, Allis CD, Becher O, Gururangan S, Grant G, Driscoll T, Archer G, Herndon J, Friedman H, Li W, Kurtzberg J, Bigner D, Sampson J, Mitchell D, Yadavilli S, Kambhampati M, Becher O, MacDonald T, Bellamkonds R, Packer R, Buckley A, Nazarian J, DeWire M, Fouladi M, Stewart C, Wetmore C, Hawkins C, Jacobs C, Yuan Y, Goldman S, Fisher P, Rodriguez R, Rytting M, Bouffet E, Khakoo Y, Hwang E, Foreman N, Gilbert M, Gilbertson R, Gajjar A, Saratsis A, Yadavilli S, Wetzel W, Snyder K, Kambhampati M, Hall J, Raabe E, Warren K, Packer R, Nazarian J, Thompson J, Griesinger A, Foreman N, Spazojevic I, Rush S, Levy JM, Hutt M, Karajannis MA, Shah S, Eberhart CG, Raabe E, Rodriguez FJ, Gump J, Donson A, Tovmasyan A, Birks D, Handler M, Foreman N, Hankinson T, Torchia J, Khuong-Quang DA, Ho KC, Picard D, Letourneau L, Chan T, Peters K, Golbourn B, Morrissy S, Birks D, Faria C, Foreman N, Taylor M, Rutka J, Pfister S, Bouffet E, Hawkins C, Batinic-Haberle I, Majewski J, Kim SK, Jabado N, Huang A, Ladner T, Tomycz L, Watchmaker J, Yang T, Kaufman L, Pearson M, Dewhirst M, Ogg RJ, Scoggins MA, Zou P, Taherbhoy S, Jones MM, Li Y, Glass JO, Merchant TE, Reddick WE, Conklin HM, Gholamin S, Gajjar A, Khan A, Kumar A, Tye GW, Broaddus WC, Van Meter TE, Shih DJH, Northcott PA, Remke M, Korshunov A, Mitra S, Jones DTW, Kool M, Pfister SM, Taylor MD, Mille F, Levesque M, Remke M, Korshunov A, Izzi L, Kool M, Richard C, Northcott PA, Taylor MD, Pfister SM, Charron F, Yu F, Masoud S, Nguyen B, Vue N, Schubert S, Tolliday N, Kong DS, Sengupta S, Weeraratne D, Schreiber S, Cho YJ, Birks D, Jones K, Griesinger A, Amani V, Handler M, Vibhakar R, Achrol A, Foreman N, Brown R, Rangan K, Finlay J, Olch A, Freyer D, Bluml S, Gate D, Danielpour M, Rodriguez J, Shae JJ, Kim GB, Levy R, Bannykh S, Breunig JJ, Town T, Monje-Deisseroth M, Cho YJ, Weissman I, Cheshier S, Buczkowicz P, Rakopoulos P, Bouffet E, Morrison A, Bartels U, Becher O, Hawkins C, Dey A, Kenney A, Van Gool S, Pauwels F, De Vleeschouwer S, Barszczyk M, Buczkowicz P, Castelo-Branco P, Mack S, Nethery-Brokx K, Morrison A, Taylor M, Dirks P, Tabori U, Hawkins C, Chandramohan V, Keir ST, Bao X, Pastan IH, Kuan CT, Bigner DD, Bender S, Jones D, Kool M, Sturm D, Korshunov A, Lichter P, Pfister SM, Chen M, Lu J, Wang J, Keir S, Zhang M, Zhao S, Mook R, Barak L, Lyerly HK, Chen W, Ramachandran C, Nair S, Escalon E, Khatib Z, Quirrin KW, Melnick S, Kievit F, Stephen Z, Wang K, Silber J, Ellenbogen R, Zhang M, Hutzen B, Studebaker A, Bratasz A, Powell K, Raffel C, Guo C, Chang CC, Wortham M, Chen L, Kernagis D, Qin X, Cho YW, Chi JT, Grant G, McLendon R, Yan H, Ge K, Papadopoulos N, Bigner D, He Y, Cristiano B, Venkataraman S, Birks DK, Alimova I, Harris PS, Dubuc A, Taylor MD, Foreman NK, Vibhakar R, Ichimura K, Fukushima S, Totoki Y, Suzuki T, Mukasa A, Saito N, Kumabe T, Tominaga T, Kobayashi K, Nagane M, Iuchi T, Mizoguchi M, Sasaki T, Tamura K, Sugiyama K, Narita Y, Shibui S, Matsutani M, Shibata T, Nishikawa R, Northcott P, Zichner T, Jones D, Kool M, Jager N, Feychting M, Lannering B, Tynes T, Wesenberg F, Hauser P, Ra YS, Zitterbart K, Jabado N, Chan J, Fults D, Mueller S, Grajkowska W, Lichter P, Korbel J, Pfister S, Kool M, Jones DTW, Jaeger N, Northcott PA, Pugh T, Hovestadt V, Markant SL, Esparza LA, Bourdeaut F, Remke M, Taylor MD, Cho YJ, Pomeroy SL, Schueller U, Korshunov A, Eils R, Wechsler-Reya RJ, Lichter P, Pfister SM, Keir S, Pegram C, Lipp E, Rasheed A, Chandramohan V, Kuan CT, Kwatra M, Yan H, Bigner D, Chornenkyy Y, Buczkowicz P, Agnihotri S, Becher O, Hawkins C, Rogers H, Mayne C, Kilday JP, Coyle B, Grundy R, Sun T, Warrington N, Luo J, Brooks M, Dahiya S, Sengupta R, Rubin J, Erdreich-Epstein A, Robison N, Ren X, Zhou H, Ji L, Margo A, Jones D, Pfister S, Kool M, Sposto R, Asgharzadeh S, Clifford S, Gustafsson G, Ellison D, Figarella-Branger D, Doz F, Rutkowski S, Lannering B, Pietsch T, Broniscer A, Tatevossian R, Sabin N, Klimo P, Dalton J, Lee R, Gajjar A, Ellison D, Garzia L, Dubuc A, Pitcher G, Northcott P, Mariampillai A, Chan T, Skowron P, Wu X, Yao Y, Hawkins C, Peacock J, Zayne K, Croul S, Rutka J, Kenney A, Huang A, Yang V, Baylin S, Salter M, Taylor M, Ward S, Sengupta R, Rubin J, Garzia L, Morrissy S, Skowron P, Jelveh S, Lindsay P, Largaespada D, Collier L, Dupuy A, Hill R, Taylor M, Lulla RR, Laskowski J, Fangusaro J, DiPatri AJ, Alden T, Vanin EF, Tomita T, Goldman S, Soares MB, Rajagopal MU, Lau LS, Hathout Y, Gordish-Dressman H, Rood B, Datar V, Bochare S, Singh A, Khatau S, Fangusaro J, Goldman S, Lulla R, Rajaram V, Gopalakrishnan V, Morfouace M, Shelat A, Jaccus M, Freeman B, Zindy F, Robinson G, Guy K, Stewart C, Gajjar A, Roussel M, Krebs S, Chow K, Yi Z, Brawley V, Ahmed N, Gottschalk S, Lerner R, Harness J, Yoshida Y, Santos R, Torre JDL, Nicolaides T, Ozawa T, James D, Petritsch C, Vitte J, Chareyre F, Stemmer-Rachamimov A, Giovannini M, Hashizume R, Yu-Jen L, Tom M, Ihara Y, Huang X, Waldman T, Mueller S, Gupta N, James D, Shevtsov M, Yakovleva L, Nikolaev B, Dobrodumov A, Onokhin K, Bychkova N, Mikhrina A, Khachatryan W, Guzhova I, Martynova M, Bystrova O, Ischenko A, Margulis B, Martin A, Nirschl C, Polanczyk M, Cohen K, Pardoll D, Drake C, Lim M, Crowther A, Chang S, Yuan H, Deshmukh M, Gershon T, Meyerowitz JG, Gustafson WC, Nekritz EA, Swartling F, Shokat KM, Ruggero D, Weiss WA, Bergthold G, Rich B, Bandopadhayay P, Chan J, Santaga S, Hoshida Y, Golub T, Tabak B, Ferrer-Luna R, Grill J, Wen PY, Stiles C, Kieran M, Ligon K, Beroukhim R, Lulla RR, Laskowski J, Gireud M, Fangusaro J, Goldman S, Gopalakrishnan V, Merino D, Shlien A, Pienkowska M, Tabori U, Gilbertson R, Malkin D, Mueller S, Hashizume R, Yang X, Kolkowitz I, Olow A, Phillips J, Smirnov I, Tom M, Prados M, Berger M, Gupta N, Haas-Kogan D, Beez T, Sarikaya-Seiwert S, Janssen G, Felsberg J, Steiger HJ, Hanggi D, Marino AM, Baryawno N, Johnsen JI, Ostman A, Wade A, Engler JR, Robinson AE, Phillips JJ, Witt H, Sill M, Mack SC, Wani KM, Lambert S, Tzaridis T, Bender S, Jones DT, Milde T, Northcott PA, Kool M, von Deimling A, Kulozik AE, Witt O, Lichter P, Collins VP, Aldape K, Taylor MD, Korshunov A, Pfister SM, Hatcher R, Das C, Datar V, Taylor P, Singh A, Lee D, Fuller G, Ji L, Fangusaro J, Rajaram V, Goldman S, Eberhart C, Gopalakrishnan V, Griveau A, Lerner R, Ihrie R, Sugiarto S, Ihara Y, Reichholf B, Huillard E, Mcmahon M, James D, Phillips J, Buylla AA, Rowitch D, Petritsch C, Snuderl M, Batista A, Kirkpatrick N, de Almodovar CR, Riedemann L, Knevels E, Schmidt T, Peterson T, Roberge S, Bais C, Yip S, Hasselblatt M, Rossig C, Ferrara N, Klagsbrun M, Duda D, Fukumura D, Xu L, Carmeliet P, Jain R, Nguyen A, Pencreach E, Lasthaus C, Lobstein V, Guerin E, Guenot D, Entz-Werle N, Diaz R, Golbourn B, Faria C, Shih D, MacKenzie D, Picard D, Bryant M, Smith C, Taylor M, Huang A, Rutka J, Gromeier M, Desjardins A, Sampson JH, Threatt SJE, Herndon JE, Friedman A, Friedman HS, Bigner DD, Cavalli FMG, Morrissy AS, Li Y, Chu A, Remke M, Thiessen N, Mungall AJ, Bader GD, Malkin D, Marra MA, Taylor MD, Manoranjan B, Wang X, Hallett R, Venugopal C, Mack S, McFarlane N, Nolte S, Scheinemann K, Gunnarsson T, Hassell J, Taylor M, Lee C, Triscott J, Foster C, Dunham C, Hawkins C, Dunn S, Singh S, McCrea HJ, Bander E, Venn RA, Reiner AS, Iorgulescu JB, Puchi LA, Schaefer PM, Cederquist G, Greenfield JP, Tsoli M, Luk P, Dilda P, Hogg P, Haber M, Ziegler D, Mack S, Agnihotri S, Witt H, Shih D, Wang X, Ramaswamy V, Zayne K, Bertrand K, Massimi L, Grajkowska W, Lach B, Gupta N, Weiss W, Guha A, Zadeh G, Rutka J, Korshunov A, Pfister S, Taylor M, Mack S, Witt H, Jager N, Zuyderduyn S, Nethery-Brokx K, Garzia L, Zayne K, Wang X, Barszczyk M, Wani K, Bouffet E, Weiss W, Hawkins C, Rutka J, Bader G, Aldape K, Dirks P, Pfister S, Korshunov A, Taylor M, Engler J, Robinson A, Wade A, Molinaro A, Phillips J, Ramaswamy V, Remke M, Bouffet E, Faria C, Shih D, Gururangan S, McLendon R, Schuller U, Ligon K, Pomeroy S, Jabado N, Dunn S, Fouladi M, Rutka J, Hawkins C, Tabori U, Packer R, Pfister S, Korshunov A, Taylor M, Faria C, Dubuc A, Golbourn B, Diaz R, Agnihotri S, Sabha N, Luck A, Leadly M, Reynaud D, Wu X, Remke M, Ramaswamy V, Northcott P, Pfister S, Croul S, Kool M, Korshunov A, Smith C, Taylor M, Rutka J, Pietsch T, Doerner E, Muehlen AZ, Velez-Char N, Warmuth-Metz M, Kortmann R, von Hoff K, Friedrich C, Rutkowski S, von Bueren A, Lu YJ, James CD, Hashizume R, Mueller S, Phillips J, Gupta N, Sturm D, Northcott PA, Jones DTW, Korshunov A, Picard D, Lichter P, Huang A, Pfister SM, Kool M, Ward J, Teague C, Shriyan B, Grundy R, Rahman R, Taylor K, Mackay A, Morozova O, Butterfield Y, Truffaux N, Philippe C, Vinci M, de Torres C, Cruz O, Mora J, Hargrave D, Puget S, Yip S, Jones C, Grill J, Smith S, Ward J, Tan C, Grundy R, Rahman R, Bjerke L, Mackay A, Nandhabalan M, Burford A, Jury A, Popov S, Bax D, Carvalho D, Taylor K, Vinci M, Bajrami I, McGonnell I, Lord C, Reis R, Hargrave D, Ashworth A, Workman P, Jones C, Carvalho D, Mackay A, Burford A, Bjerke L, Chen L, Kozarewa I, Lord C, Ashworth A, Hargrave D, Reis R, Jones C, Marigil M, Jauregui PJ, Alonso M, Chan TS, Hawkins C, Picard D, Henkin J, Huang A, Trubicka J, Kucharczyk M, Pelc M, Chrzanowska K, Ciara E, Perek-Polnik M, Grajkowska W, Piekutowska-Abramczuk D, Jurkiewicz D, Luczak S, Borucka-Mankiewicz M, Kowalski P, Krajewska-Walasek M, de Mola RML, Laskowski J, Fangusaro J, Costa FF, Vanin EF, Goldman S, Soares MB, Lulla RR, Mann A, Venugopal C, Vora P, Singh M, van Ommeren R, McFarlane N, Manoranjan B, Qazi M, Scheinemann K, MacDonald P, Delaney K, Whitton A, Dunn S, Singh S, Sievert A, Lang SS, Boucher K, Madsen P, Slaunwhite E, Choudhari N, Kellet M, Storm P, Resnick A, Agnihotri S, Burrell K, Fernandez N, Golbourn B, Clarke I, Barszczyk M, Sabha N, Dirks P, Jones C, Rutka J, Zadeh G, Hawkins C, Murphy B, Obad S, Bihannic L, Ayrault O, Zindy F, Kauppinen S, Roussel M, Golbourn B, Agnihotri S, Cairns R, Mischel P, Aldape K, Hawkins C, Zadeh G, Rutka J, Rush S, Donson A, Kleinschmidt-DeMasters B, Bemis L, Birks D, Chan M, Smith A, Handler M, Foreman N, Gronych J, Jones DTW, Zuckermann M, Hutter S, Korshunov A, Kool M, Ryzhova M, Reifenberger G, Pfister SM, Lichter P, Jones DTW, Hovestadt V, Picelli S, Wang W, Northcott PA, Kool M, Jager N, Reifenberger G, Rutkowski S, Pietsch T, Sultan M, Yaspo ML, Landgraf P, Eils R, Korshunov A, Zapatka M, Pfister SM, Radlwimmer B, Lichter P, Huang Y, Mao H, Wang Y, Kogiso M, Zhao X, Baxter P, Man C, Wang Z, Zhou Y, Li XN, Chung AH, Crabtree D, Schroeder K, Becher OJ, Panosyan E, Wang Y, Lasky J, Liu Z, Zhao X, Wang Y, Mao H, Huang Y, Kogiso M, Baxter P, Adesina A, Su J, Picard D, Huang A, Perlaky L, Chintagumpala M, Lau C, Blaney S, Li XN, Huang M, Persson A, Swartling F, Moriarity B. Abstracts. Neuro Oncol 2013. [DOI: 10.1093/neuonc/not047] [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: 11/13/2022] Open
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Beaver K, Campbell M, Williamson S, Procter D, Sheridan J, Heath J, Susnerwala S. An exploratory randomized controlled trial comparing telephone and hospital follow-up after treatment for colorectal cancer. Colorectal Dis 2012; 14:1201-9. [PMID: 22230203 DOI: 10.1111/j.1463-1318.2012.02936.x] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
AIM Following treatment for colorectal cancer it is common practice for patients to attend hospital clinics at regular intervals for routine monitoring, although debate persists on the benefits of this approach. Nurse-led telephone follow-up is effective in meeting information and psycho-social needs in other patient groups. We explored the potential benefits of nurse-led telephone follow-up for colorectal cancer patients. METHOD Sixty-five patients were randomized to either telephone or hospital follow-up in an exploratory randomized trial. RESULTS The telephone intervention was deliverable in clinical practice and acceptable to patients and health professionals. Seventy-five per cent of eligible patients agreed to randomization. High levels of satisfaction were evident in both study groups. Appointments in the hospital group were shorter (median 14.0 min, range 2.3-58.0) than appointments in the telephone group (median 28.9 min, range 6.1-48.3). Patients in the telephone arm were more likely to raise concerns during consultations. CONCLUSION Historical approaches to follow-up unsupported by evidence of effectiveness and efficiency are not sustainable. Telephone follow-up by specialist nurses may be a feasible option. A main trial comparing hospital and telephone follow-up is justified, although consideration needs to be given to trial design and practical issues related to the availability of specialist nurses at study locations.
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Affiliation(s)
- K Beaver
- School of Health, University of Central Lancashire, Preston, UK.
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Ma C, Cheung A, Chodon T, Comin-Anduix B, Koya R, Ribas A, Heath J. Comprehensive, longitudinal T cell functional analyses correlated with clinical outcome of a melanoma immunotherapy trial (53.18). The Journal of Immunology 2012. [DOI: 10.4049/jimmunol.188.supp.53.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Abstract
Adoptive cell transfer (ACT) of transgenic T lymphocytes expressing tumor antigen specific T cell receptor (TCR) can mediate objective responses. However, little is known about the functional activity of the transferred cells and the dynamics of host immunity. We monitored the transgenic and endogenous immunity of 8 metastatic melanoma patients over 8-10 time points in a MART-1 TCR ACT therapy. Using 3 highly multiplex clinical immune diagnostics methods (Ma, C. et al. Nature Medicine 17, 738-743 (2011)), the abundance of 35 melanoma antigen specific cytotoxic T lymphocyte (CTL) populations, 19 functional proteins from 6 types of phenotypically defined single T cells, and 37 blood tumor and immune markers was quantified, yielding millions of readouts. In all patients there was an initial clinical antitumor response followed by disease progression, which correlated with T cell changes observed. The transgenic MART-1 T cells expanded rapidly after infusion, producing multiple cytotoxic and antitumor cytokines. However, their abundance and polyfunctionality diminished within 2-3 weeks. Around 30 days post infusion, a multi-clonal expansion of melanoma specific CTLs emerged only in patients with regressing metastatic lesions. These cells exhibited antitumor functions initially, but gained inhibitory and non-specific functions and diminished in number when tumor progressed. This study points to the need of maintaining T cell functionality to improve ACT therapy effectiveness.
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Affiliation(s)
- Chao Ma
- 1NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA
| | - Ann Cheung
- 1NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA
| | - Thinle Chodon
- 2David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Begonya Comin-Anduix
- 2David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Richard Koya
- 2David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - Antoni Ribas
- 2David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA
| | - James Heath
- 1NanoSystems Biology Cancer Center, California Institute of Technology, Pasadena, CA
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Ma C, Cheung A, Comin-Anduix B, Chodon T, Koya R, Wu Z, Witte O, Baltimore D, Chmielowski B, Economou J, Ribas A, Heath J. Abstract 4839: Adoptive cell transfer of transgenic T cells elicited a two-wave antitumor cellular immune response consisted of engineered and endogenous T lymphocytes with different sets of functions. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-4839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Adoptive cell transfer (ACT) of transgenic T lymphocytes expressing tumor antigen specific T cell receptor (TCR) can mediate an objective response in 30%-50% of the metastatic melanoma patients and result in long term tumor regression in certain subjects. However, little is known about the fate of engineered T cells once transferred and the dynamics of host immunity, important for understanding the biological mechanism of the therapy and differing long term efficacy between patients. Methods: We designed a comprehensive study that monitored the transgenic and endogenous immune response in 8 metastatic melanoma patients over 8-10 time points in an ACT therapy of transgenic F5 MART-1 TCR T cells, using newly developed, highly multiplexed clinical immune diagnostics methods (Ma, C. et al. Nature Medicine 17, 738-743 (2011)): (1) The abundance of 35 melanoma antigen specific T cell subsets was enumerated by peptide/MHC tetramer microarrays. (2) The functional performance of 6 phenotypically defined T cell subsets was evaluated via the quantitation of 19 functional proteins secreted from single cells, utilizing a clinical single cell barcode microchip coupled with florescent activated cell sorting. (3) A panel of 37 blood proteins incorporating melanoma associated markers, cytokines and chemokines were measured by an ELISA-like assay. Results: The change of blood marker abundance reflected the general course of the therapy, from pre-conditioning, immune system recovery, immune response, to tumor remission. Furthermore, we found that the TCR engineered T cells sustained a 2-3 week duration anti-tumor response in all patients and secreted large quantities of granzyme B, MIP-1α and MIP-1α. However, this first wave infused immune response vanished rapidly in terms of the number of polyfunctional cells and the amount of cytokines secreted. After day 30 a second wave anti-tumor immunity emerged, incorporating a rebound of the MART-1 TCR engineered population and a new endogenous multi-clonal melanoma specific T cell response. Both groups of cells secreted IFN-γ and TNF-α; however, later they shifted to inhibitory and non-specific functions, such as TGF-β, IL-10 and IL-13. The patient with the most endogenous melanoma specific T cell populations emerged and the strongest functions in the second wave response showed the most effective long term tumor control; weaker second wave response was associated with weaker therapeutic efficacy. Conclusions: The melanoma-specific T cells within the ACT went through a process of in vivo functional changes that correlated with clinical antitumor activity. The appearance and the persistence of the second wave immune response featured by engineered and newly appeared endogenous anti-tumor cellular immunity provided indications of long term therapeutic efficacy.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4839. doi:1538-7445.AM2012-4839
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Affiliation(s)
- Chao Ma
- 1California Institute of Technology, Pasadena, CA
| | - Ann Cheung
- 1California Institute of Technology, Pasadena, CA
| | | | - Thinle Chodon
- 2University of California, Los Angeles, Los Angeles, CA
| | - Richard Koya
- 2University of California, Los Angeles, Los Angeles, CA
| | - Zhongqi Wu
- 2University of California, Los Angeles, Los Angeles, CA
| | - Owen Witte
- 2University of California, Los Angeles, Los Angeles, CA
| | | | | | | | - Antoni Ribas
- 2University of California, Los Angeles, Los Angeles, CA
| | - James Heath
- 1California Institute of Technology, Pasadena, CA
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Halsey KD, Arora M, Bulsiewicz WJ, Heath J, Petullo B, Madanick RD, Dellon ES, Shaheen NJ, Greenwald BD. Eosinophilic infiltration of the esophagus following endoscopic ablation of Barrett's neoplasia. Dis Esophagus 2012; 26:113-6. [PMID: 22394268 DOI: 10.1111/j.1442-2050.2012.01330.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
To assess the incidence of esophageal intra-epithelial eosinophilic infiltration following endoscopic ablation of Barrett's esophagus (BE), a retrospective study of consecutive cases of endoscopic ablation of BE with dysplasia or cancer using radiofrequency ablation (RFA) and spray cryotherapy at two centers in the United States was performed. Post-ablation eosinophilia was defined as ≥ 5 eosinophils per high power field during post-treatment surveillance. Twenty of 122 patients (16%) undergoing ablation developed esophageal eosinophilia after ablation, including 8/77 (10%) treated with RFA and 12/44 (27%) treated with cryotherapy. No patient had clinical or endoscopic findings of or risk factors for eosinophilic esophagitis. Esophageal eosinophilia persisted in 30% over a median of 20.2 months. On multivariate analysis, post-ablation eosinophilia was independently associated with increasing BE segment length (adjusted odds ratio 1.46 for every 2-cm increase, 95% confidence interval 1.24-1.71) and cryotherapy as the ablation modality (adjusted odds ratio 5.23, 95% confidence interval 1.67-16.39). Esophageal eosinophilic infiltration after endoscopic ablation with RFA and cryotherapy is common and is associated with the BE segment length and treatment modality. The clinical significance of post-ablation eosinophilia is unclear.
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Affiliation(s)
- K D Halsey
- Division of Gastroenterology and Hepatology, University of Maryland School of Medicine, Baltimore, Maryland 21201-1595, USA
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Nash H, Heath J. The role of vocabulary, working memory and inference making ability in reading comprehension in Down syndrome. Res Dev Disabil 2011; 32:1782-91. [PMID: 21536407 DOI: 10.1016/j.ridd.2011.03.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2011] [Accepted: 03/05/2011] [Indexed: 05/10/2023]
Abstract
Thirteen children and young adults with Down syndrome (DS) completed tests of language and reading and their performance was compared to that of three control groups. Reading comprehension was confirmed to be a specific deficit in DS and found to be strongly correlated with underlying language skills. Although reading comprehension was more strongly related to language ability in the DS group, this was shown to be a function of more advanced word recognition rather than a characteristic of DS per se. Individuals with DS were found to have greater difficulty with inferential comprehension questions than expected given their overall comprehension ability and the reading profile associated with DS was found to be similar to that of children known as poor comprehenders. It is recommended that oral language training programs, similar to those that have been shown to improve reading comprehension in poor comprehenders, be trialed with children who have DS.
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Affiliation(s)
- Hannah Nash
- Department of Psychology, University of York, Heslington, York YO105DD, UK.
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Beaver K, Wilson C, Procter D, Sheridan J, Towers G, Heath J, Susnerwala S, Luker K. Colorectal cancer follow-up: Patient satisfaction and amenability to telephone after care. Eur J Oncol Nurs 2011; 15:23-30. [DOI: 10.1016/j.ejon.2010.05.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2010] [Revised: 05/14/2010] [Accepted: 05/15/2010] [Indexed: 11/28/2022]
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Wang J, Ahmad H, Ma C, Shi Q, Vermesh O, Vermesh U, Heath J. A self-powered, one-step chip for rapid, quantitative and multiplexed detection of proteins from pinpricks of whole blood. Lab Chip 2010; 10:3157-62. [PMID: 20924527 PMCID: PMC3651856 DOI: 10.1039/c0lc00132e] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
We describe an automated, self-powered chip based on lateral flow immunoassay for rapid, quantitative, and multiplex protein detection from pinpricks of whole blood. The device incorporates on-chip purification of blood plasma by employing inertial forces to focus blood cells away from the assay surface, where plasma proteins are captured and detected on antibody "barcode" arrays. Power is supplied from the capillary action of a piece of adsorbent paper, and sequentially drives, over a 40 minute period, the four steps required to capture serum proteins and then develop a multiplex immunoassay. An 11 protein panel is assayed from whole blood, with high sensitivity and high reproducibility. This inexpensive, self-contained, and easy to operate chip provides a useful platform for point-of-care diagnoses, particularly in resource-limited settings.
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Affiliation(s)
- Jun Wang
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
| | - Habib Ahmad
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
| | - Chao Ma
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
| | - Qihui Shi
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
| | - Ophir Vermesh
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
| | - Udi Vermesh
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
| | - James Heath
- NanoSystems Biology Cancer Center, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Kavli Nanoscience Institute, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
- Division of Chemistry and Chemical Engineering, California Institute of Technology, MC 127-72, 1200 E. California Blvd., Pasadena, California, 91125, USA
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Hamilton M, Bullard S, Fugett K, Heath J, Jackson T, Jakobe D. Increasing the Value of the RD through Malnutrition DRG Coding. ACTA ACUST UNITED AC 2010. [DOI: 10.1016/j.jada.2010.06.306] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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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Knop M, Heath J, Sterjovski Z, Lynch S. Effects of cycle frequency on corrosion-fatigue crack growth in cathodically protected high-strength steels. ACTA ACUST UNITED AC 2010. [DOI: 10.1016/j.proeng.2010.03.135] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [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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Haworth M, Heath J, McElwain JC. Differences in the response sensitivity of stomatal index to atmospheric CO2 among four genera of Cupressaceae conifers. Ann Bot 2010; 105:411-8. [PMID: 20089556 PMCID: PMC2826259 DOI: 10.1093/aob/mcp309] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2009] [Revised: 11/05/2009] [Accepted: 12/03/2009] [Indexed: 05/07/2023]
Abstract
BACKGROUND AND AIMS The inverse relationship between stomatal density (SD: number of stomata per mm(2) leaf area) and atmospheric concentration of CO2 ([CO2]) permits the use of plants as proxies of palaeo-atmospheric CO2. Many stomatal reconstructions of palaeo-[CO2] are based upon multiple fossil species. However, it is unclear how plants respond to [CO2] across genus, family or ecotype in terms of SD or stomatal index (SI: ratio of stomata to epidermal cells). This study analysed the stomatal numbers of conifers from the ancient family Cupressaceae, in order to examine the nature of the SI-[CO2] relationship, and potential implications for stomatal reconstructions of palaeo-[CO2]. Methods Stomatal frequency measurements were taken from historical herbarium specimens of Athrotaxis cupressoides, Tetraclinis articulata and four Callitris species, and live A. cupressoides grown under CO2-enrichment (370, 470, 570 and 670 p.p.m. CO2). KEY RESULTS T. articulata, C. columnaris and C. rhomboidea displayed significant reductions in SI with rising [CO2]; by contrast, A. cupressoides, C. preissii and C. oblonga show no response in SI. However, A. cupressoides does reduce SI to increases in [CO2] above current ambient (approx. 380 p.p.m. CO2). This dataset suggests that a shared consistent SI-[CO2] relationship is not apparent across the genus Callitris. Conclusions The present findings suggest that it is not possible to generalize how conifer species respond to fluctuations in [CO2] based upon taxonomic relatedness or habitat. This apparent lack of a consistent response, in conjunction with high variability in SI, indicates that reconstructions of absolute palaeo-[CO2] based at the genus level, or upon multiple species for discrete intervals of time are not as reliable as those based on a single or multiple temporally overlapping species.
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Affiliation(s)
- Matthew Haworth
- School of Biology & Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland.
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Heath J, Eränkö O, Eränkö L. Effect of guanethidine on the ultrastructure of the small, granule-containing cells in cultures of rat sympathetic ganglia. Acta Pharmacol Toxicol (Copenh) 2009; 33:209-18. [PMID: 4800783 DOI: 10.1111/j.1600-0773.1973.tb02008.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Dahlmann-Noor AH, Vrotsou K, Kostakis V, Brown J, Heath J, Iron A, McGill S, Vivian AJ. Vision screening in children by Plusoptix Vision Screener compared with gold-standard orthoptic assessment. Br J Ophthalmol 2008; 93:342-5. [PMID: 19019940 DOI: 10.1136/bjo.2008.138115] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND/AIMS To evaluate a new autorefractor, the Plusoptix Vision Screener (PVS), as a screening tool to detect risk factors for amblyopia by comparing it with gold-standard orthoptic vision screening in children. METHODS Community-based screening study including 288 children age 4-7 years who were screened with the PVS and by orthoptic assessment (distance acuity, cover test, extraocular movements, 20 PD prism test, Lang stereotest). Follow-up comprehensive eye examination of screening-positive children included manual cycloplegic retinoscopy. RESULTS Testability was high for both methods. Orthoptic screening identified 36 children with reduced vision and/or factors associated with amblyopia (referral rate 12.5%). The PVS identified 16 children with potential vision problems (referral rate 5.6%), indicating only moderate sensitivity (44%; 95% CI 27.9 to 61.9%), but high specificity (100%; 95% CI 98.5 to 100%) to detect factors associated with amblyopia. The PVS underestimated visually significant refractive errors. CONCLUSIONS Use of the PVS as single screening test in young children may miss a significant number of children with amblyopia or amblyogenic risk factors.
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Affiliation(s)
- A H Dahlmann-Noor
- Eye Treatment Centre, West Suffolk Hospital NHS Trust, Hardwick Lane, Bury St Edmunds IP33 2QZ, UK
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Dahlmann-Noor AH, Comyn O, Kostakis V, Misra A, Gupta N, Heath J, Brown J, Iron A, McGill S, Vrotsou K, Vivian AJ. Plusoptix Vision Screener: the accuracy and repeatability of refractive measurements using a new autorefractor. Br J Ophthalmol 2008; 93:346-9. [PMID: 19001013 DOI: 10.1136/bjo.2008.138123] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BACKGROUND The Plusoptix Vision Screener (PVS) is a new non-cycloplegic videoretinoscopy autorefractor. Refractive accuracy may affect its performance as a screening tool. AIMS Study 1: To determine the intra- and interobserver variability of PVS measurements. Study 2: To compare PVS measurements with gold-standard manual cycloplegic retinoscopy (MCR). METHODS Study 1: PVS refraction of 103 children with mean (SD) age 5.5 (0.6) years by two observers. Study 2: PVS and MCR refraction of 126 children with mean (SD) age 5.5 (1.5) years, including 43 children with manifest strabismus >/=5 PD, comparing mean spherical equivalent (MSE) and Jackson cross cylinders J(0) and J(45). RESULTS Study 1: Repeatability coefficients (observer 1): MSE: 0.63 D, J(0): 0.24 D, J(45): 0.18 D; those of observer 2 were nearly identical. The mean difference (95% limits of agreement) between the two observers for MSE, J(0) and J(45) were, respectively, 0.03 (-0.62 to 0.68 D), -0.008 (-0.25 to 0.23 D) and 0.013 (-0.18 to 0.20) D. Study 2: MSE tended to be lower on PVS than MCR, with differences of up to 8.00 D. Less than 20% of values were within +/-0.50 D of each other. Agreement was better for J(0) and J(45). Strabismus was associated with an odds ratio of 3.7 (95% CI 1.3 to 10.5) of the PVS failing to obtain a reading. CONCLUSIONS The PVS may underestimate children's refractive error.
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Affiliation(s)
- A H Dahlmann-Noor
- Eye Treatment Centre, West Suffolk Hospital NHS Trust, Hardwick Lane, Bury St Edmunds IP33 2QZ, UK
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Heath J. Abstract ED02-03: The integration of new in vivo and in vitro diagnostic technologies with new therapeutics to accelerate the development and approval of new cancer therapeutics. Cancer Prev Res (Phila) 2008. [DOI: 10.1158/1940-6207.prev-08-ed02-03] [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
ED02-03
The Nanosystems Biology Cancer Center (NSBCC) was founded three years ago by the NCI to accelerate the translation of systems biology models of cancer into clinical tool for cancer diagnosis and treatment. Over the past three years we have demonstrated that we can go, within a period of 1 to 1.5 years, from a concept on paper to Phase I trials or demonstrations in humans for three major cancer technologies: in vivo PET molecular imaging probes of cancer, siRNA-based cancer therapeutics, and highly multiplexed in vitro diagnostic assays. These advances represent major cost reductions and efficiency increases in three major aspects of cancer clinical care. However, the goal of achieving the same level of cost reductions and efficiency improvements in pushing a new therapeutic from a Phase I trial to an FDA-approved drug remains a daunting challenge. In this talk, I will discuss how the integration of in vivo and in vitro diagnostic tools with drug trials can be done to achieve this goal, and I will give examples of how we are beginning to push in this direction.
Citation Information: Cancer Prev Res 2008;1(7 Suppl):ED02-03.
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Affiliation(s)
- James Heath
- California Institute of Technology, Pasadena, CA
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Owen SLF, Heath J, Kringelbach M, Green AL, Pereira EAC, Jenkinson N, Jegan T, Stein JF, Aziz TZ. Pre-operative DTI and probabilisitic tractography in four patients with deep brain stimulation for chronic pain. J Clin Neurosci 2008; 15:801-5. [PMID: 18495481 DOI: 10.1016/j.jocn.2007.06.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2007] [Accepted: 06/11/2007] [Indexed: 10/22/2022]
Abstract
This study aimed to examine, using diffusion tensor imaging (DTI), differences in electrode placement in four patients undergoing deep brain stimulation for chronic neuropathic pain of varying aetiology. A pre-operative DTI was obtained for each patient, who was then implanted with deep brain stimulation electrodes in the periventricular/periaqueductal grey area with good pain relief. Using seeds from the postoperative MRI scan, probabilistic tractography was performed from the pre-operative DTI.
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Affiliation(s)
- S L F Owen
- Oxford Functional Neurosurgery, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK.
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Owen SLF, Heath J, Kringelbach ML, Stein JF, Aziz TZ. Preoperative DTI and probabilistic tractography in an amputee with deep brain stimulation for lower limb stump pain. Br J Neurosurg 2008; 21:485-90. [PMID: 17922322 DOI: 10.1080/02688690701558358] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
This study aimed to find out whether preoperative diffusion tensor imaging (DTI) and probabilistic tractography could help with surgical planning for deep brain stimulation in the periaqueductal/periventricular grey area (PAG/PVG) in a patient with lower leg stump pain. A preoperative DTI was obtained from the patient, who then received DBS surgery in the PAG/PVG area with good pain relief. The postoperative MRI scan showing electrode placement was used to calculate four seed areas to represent the contacts on the Medtronic 3387 electrode. Probabilistic tractography was then performed from the pre-operative DTI image. Tracts were seen to connect to many areas within the pain network from the four different contacts. These initial findings suggest that preoperative DTI scanning and probabilistic tractography may be able to assist surgical planning in the future.
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Affiliation(s)
- S L F Owen
- University Laboratory of Physiology, University of Oxford, Oxford, UK.
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Smith J, Zerr D, Heath J. A Team Approach To Reduce Surgical Site Infections in Pediatric Cardiac Surgery Patients. Am J Infect Control 2007. [DOI: 10.1016/j.ajic.2007.04.076] [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: 11/26/2022]
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Jacobs C, Rawson R, Campion C, Caulfield C, Heath J, Burton C, Kavalier F. Providing a community-based cancer risk assessment service for a socially and ethnically diverse population. Fam Cancer 2007; 6:189-95. [PMID: 17520349 DOI: 10.1007/s10689-007-9134-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2007] [Accepted: 04/04/2007] [Indexed: 12/28/2022]
Abstract
BACKGROUND Patients from ethnic minorities are under-represented in referrals to cancer genetics services. In a regional genetics centre that serves two London boroughs, the existing service attracts 3% of its referrals from Black and Minority Ethnic (BME) and other ethnic groups, despite the fact that these groups make up 34% of the population. OBJECTIVES To improve access to familial cancer risk assessment in a socially and ethnically diverse population. SETTING The London boroughs of Lambeth and Southwark. DESIGN Community-based, nurse-led clinics were established for people who were concerned about their familial cancer risk. Patients were asked to triage themselves by answering three questions. Self-referral was encouraged. MAIN OUTCOME MEASURES Data were gathered on ethnicity of clients, cancer risk, source of referral and patient and health professional satisfaction with the service. RESULTS Of the 415 people who have accessed the service, 46% were from not White British groups and 67% referred themselves to the service, demonstrating the success of this model in reaching 'hard to reach' groups. Thirty-seven percent of patients were assessed as being at population risk and 63% were assessed as being at moderate risk or higher, showing that the clinics were meeting an unmet need in the community.
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Affiliation(s)
- C Jacobs
- Clinical Genetics, Guy's Hospital, London, SE1 9RT, UK.
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Heath J, Smith J, Stevens J. Investigating an Outbreak of Bordetella pertussis Disease in a Pediatric Intensive Care Unit. Am J Infect Control 2006. [DOI: 10.1016/j.ajic.2006.05.269] [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: 10/24/2022]
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Heath J, Kwiatkowska M, Norman G, Parker D, Tymchyshyn O. Probabilistic Model Checking of Complex Biological Pathways. Computational Methods in Systems Biology 2006. [DOI: 10.1007/11885191_3] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Abstract
RATIONALE The present paper asked first whether the cholinergic agonist nicotine improves memory for delayed intentions (prospective memory, ProM) and second whether pharmacological dissociation would support the psychological distinction that is made between strategic (effortful) and automatic (non-effortful) intention activation in prospective memory. OBJECTIVES To use nicotine as a pharmacological tool with which to examine the neurochemical bases of prospective memory and to dissociate strategic from automatic components of ProM retrieval. METHODS In three experiments, minimally deprived (2 h) smokers either smoked or abstained prior to completing a standard prospective memory study. This involved participants in the simultaneous processing of a ProM task and a cover task (ongoing between the setting and the recall of the intention). Here, the ongoing task involved lexical decision (LDT), while the ProM task required a response to pre-specified target items occurring within the LDT stimuli. Variations in task instructions were used to manipulate the processing requirements of the ProM task, the attention allocated to the ProM task and the balance of importance assigned to the ongoing and ProM tasks. RESULTS In experiment 1, where the ProM processing was automatic, nicotine did not improve ProM accuracy. In experiment 2, where the ProM task involved strategic processing, positive effects of nicotine were observed. In experiment 3, we covaried ProM task instructions, assigned task importance and nicotine conditions. We observed a main effect of nicotine on ProM accuracy, a main effect of task on ProM accuracy and a main effect of assigned task importance on ProM accuracy. There were no interactions between the factors. CONCLUSIONS Employing both direct and indirect manipulations of strategic engagement, we demonstrated nicotine-induced enhancement of performance on the ProM task. The results are consistent with the view that relatively small changes in instruction and in task variables engage strategic processing in a ProM task and that when these conditions stretch cognitive resources, nicotine may significantly improve performance.
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Affiliation(s)
- J M Rusted
- Department of Psychology, Sussex University, Brighton BN1 9QH, East Sussex, UK.
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Heath J, Ayres E, Possell M, Bardgett RD, Black HIJ, Grant H, Ineson P, Kerstiens G. Rising atmospheric CO2 reduces sequestration of root-derived soil carbon. Science 2005; 309:1711-3. [PMID: 16151007 DOI: 10.1126/science.1110700] [Citation(s) in RCA: 123] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Forests have a key role as carbon sinks, which could potentially mitigate the continuing increase in atmospheric carbon dioxide concentration and associated climate change. We show that carbon dioxide enrichment, although causing short-term growth stimulation in a range of European tree species, also leads to an increase in soil microbial respiration and a marked decline in sequestration of root-derived carbon in the soil. These findings indicate that, should similar processes operate in forest ecosystems, the size of the annual terrestrial carbon sink may be substantially reduced, resulting in a positive feedback on the rate of increase in atmospheric carbon dioxide concentration.
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Affiliation(s)
- James Heath
- Department of Biological Sciences, Institute of Environmental and Natural Sciences, Lancaster University, Bailrigg, Lancaster, LA1 4YQ, UK.
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Ayres E, Heath J, Possell M, Black HIJ, Kerstiens G, Bardgett RD. Tree physiological responses to above-ground herbivory directly modify below-ground processes of soil carbon and nitrogen cycling. Ecol Lett 2004. [DOI: 10.1111/j.1461-0248.2004.00604.x] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Abstract
BACKGROUND Tobacco consumption is increasing among women across the globe at alarming rates. Without effective intervention, the smoking prevalence among women will nearly triple over the next generation. These trends are potentially more threatening when considering how tobacco intersects women's lives, regardless if they use tobacco products or not. AIM A review and analysis of the literature is conducted to examine the scope of tobacco's global effect on the multiple dimensions of women's health. METHOD Medline (1990-2003), Cumulative Index to Nursing and Allied Health Literature (1990-2003) and World Health Organization databases were searched for related topics. Keywords for searches included global health, tobacco, women and nursing. FINDINGS The epidemiology and prevalence of tobacco use among women are presented and its impact on women globally. Using an ecological perspective, the consequences of tobacco are analysed within the contexts of health, social, environment, economic and policy as it relates to women, their families and their communities. IMPLICATIONS Nurses are in prime positions to empower individuals, families, communities and nations in the prevention and treatment of tobacco use. Health for all women continues to be a call for equity and social justice. Recommendations are provided for nursing practice, education, theory, research and policy to address this global health concern.
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Affiliation(s)
- J O Andrews
- Department of Community Nursing, EB 204, Medical College of Georgia, Augusta, GA 30912, USA.
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Shipton ZK, Evans JP, Kirschner D, Kolesar PT, Williams AP, Heath J. Analysis of CO2 leakage through ‘low-permeability’ faults from natural reservoirs in the Colorado Plateau, east-central Utah. ACTA ACUST UNITED AC 2004. [DOI: 10.1144/gsl.sp.2004.233.01.05] [Citation(s) in RCA: 84] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
AbstractThe numerous CO2 reservoirs in the Colorado Plateau region of the United States are natural analogues for potential geological CO2 sequestration repositories. To understand better the risk of leakage from reservoirs used for long-term underground CO2 storage, we examine evidence for CO2 migration along two normal faults that cut a reservoir in east-central Utah. CO2-charged springs, geysers, and a hydrocarbon seep are localized along these faults. These include natural springs that have been active for long periods of time, and springs that were induced by recent drilling. The CO2-charged spring waters have deposited travertine mounds and carbonate veins. The faults cut siltstones, shales, and sandstones and the fault rocks are fine-grained, clay-rich gouge, generally thought to be barriers to fluid flow. The geological and geochemical data are consistent with these faults being conduits for CO2 moving to the surface. Consequently, the injection of CO2 into faulted geological reservoirs, including faults with clay gouge, must be carefully designed and monitored to avoid slow seepage or fast rupture to the biosphere.
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Affiliation(s)
- Z. K. Shipton
- Division of Earth Sciences, Centre for Geosciences, University of Glasgow
Glasgow G12 8QQ, Scotland, UK
| | - J. P. Evans
- Department of Geology, Utah State University
Logan, UT 84322, USA
| | - D. Kirschner
- Department of Earth and Atmospheric Sciences, Saint Louis University
St Louis, MO 63103, USA
| | - P. T. Kolesar
- Department of Geology, Utah State University
Logan, UT 84322, USA
| | - A. P. Williams
- Department of Geology, Utah State University
Logan, UT 84322, USA
| | - J. Heath
- Department of Geology, Utah State University
Logan, UT 84322, USA
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Shiau S, Heath J, Zerr DM. 410 IDENTIFYING RISK FACTORS FOR COMMUNITY-ACQUIRED METHICILLIN-RESISTANT STAPHYLOCOCCUS AUREUS INFECTIONS IN CHILDREN. J Investig Med 2004. [DOI: 10.1136/jim-52-suppl1-410] [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: 11/04/2022]
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Yadav G, Straume M, Heath J, Zatz M. Are changes in MAPK/ERK necessary or sufficient for entrainment in chick pineal cells? J Neurosci 2003; 23:10021-31. [PMID: 14602816 PMCID: PMC6740862] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/27/2023] Open
Abstract
Chick pineal cells in culture display a circadian rhythm of melatonin release. Light pulses can entrain (phase shift) the rhythm. One candidate for the photoentrainment pathway uses a mitogen-activated protein kinase (MAPK), also known as extracellular signal-regulated kinase (ERK). We tested the hypothesis that activation of ERK (by phosphorylation to p-ERK) is necessary and/or sufficient for entrainment by measuring the ability of several drugs, light, and other perturbations to change levels of p-ERK and to induce phase shifts in the melatonin rhythm. If changes in the levels of p-ERK are sufficient for photoentrainment, then all perturbations that reduce its level must induce light-like phase shifts, and all those that increase its level must induce dark-like phase shifts. If such changes are necessary for photoentrainment, then light pulses must reduce p-ERK levels, and the duration of the light pulse, the magnitude and duration of the change in p-ERK, and the size of the phase shift must correlate. We found five perturbations that reduced p-ERK levels. Of these, two induced light-like phase shifts (PD 98059 and caffeine), one induced dark-like phase shifts (SB203580), and two did not induce phase shifts at all (U0126 and omitting a medium change). Serum increased p-ERK levels without inducing any phase shifts. Finally, light pulses did not elicit changes in p-ERK, nor was there a diurnal rhythm in p-ERK levels, nor could rapid changes in p-ERK levels have accounted for duration effects of light pulses on phase shifts. Taken together, these results argue strongly against the hypothesis that reduction (or increases) in MAPK/ERK activation is necessary or sufficient for entrainment in chick pineal cells.
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Affiliation(s)
- Geetha Yadav
- Laboratory of Cellular and Molecular Regulation, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892-4068, USA
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Grayson R, Douglas CWI, Heath J, Rawlinson A, Evans GS. Activation of human matrix metalloproteinase 2 by gingival crevicular fluid and Porphyromonas gingivalis. J Clin Periodontol 2003; 30:542-50. [PMID: 12795793 DOI: 10.1034/j.1600-051x.2003.00301.x] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
AIM To assess the potential of gingival crevicular fluid (GCF) from adult periodontitis patients and Porphyromonas gingivalis proteases to activate matrix metalloproteinase 2 (MMP-2) in vitro. MATERIAL AND METHODS GCF samples were collected from each of 15 adult periodontitis patients, from a clinically healthy site, a deep (>6 mm) bleeding site, and a deep nonbleeding site. The GCF samples were examined for general proteolytic activity, gelatinolytic activity and ability to activate pro-MMP-2 by zymography. Ultrasonic extracts of a range of clinical isolates of P. gingivalis cells and purified arg- and lys-gingipains were also assessed for their ability to activate pro-MMP-2. RESULTS GCF from deep nonbleeding sites showed higher general proteolytic activity than samples from deep bleeding and healthy sites but this did not reach statistical significance. Pefabloc, a general serine protease inhibitor, inhibited the majority (92%) of the proteolytic activity. GCF samples contained neutrophil MMP-9 in its latent form in 93% of the samples, and in its activated form in 40% of the samples. In contrast, MMP-2 was present in only trace amounts in 9% of the samples. When latent MMP-2 was added to these GCF samples, it was converted to the activated form (59 kDa) in 68% of the samples. Lower molecular weight (55 and 45 kDa) activated forms also appeared in 53% of the samples, particularly those from deep sites. Activation to the 55 and 45 kDa forms was inhibited by MSAAPket (a neutrophil elastase inhibitor), whereas Pefabloc completely inhibited the activation of latent MMP-2. All ultrasonic extracts of P. gingivalis activated latent MMP-2 in a concentration- and time-dependent manner. Also, latent MMP-2 was activated by purified arg-gingipain but less efficiently by lys-gingipain. CONCLUSION These findings suggest that P. gingivalis arg-gingipain and neutrophil elastase present in GCF can activate latent MMP-2, which may contribute in vivo to local periodontal tissue destruction.
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Affiliation(s)
- R Grayson
- Child Health, Division of Clinical Sciences-South and Departments of Oral Pathology and Adult Health, School of Clinical Dentistry, University of Sheffield, Sheffield, UK
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