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Armstrong G, Haregu T, Cho E, Jorm AF, Batterham P, Spittal MJ. Transition to a first suicide attempt among young and middle-aged males with a history of suicidal thoughts: A two-year cohort study. Psychiatry Res 2023; 328:115445. [PMID: 37666006 DOI: 10.1016/j.psychres.2023.115445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/21/2023] [Accepted: 08/26/2023] [Indexed: 09/06/2023]
Abstract
INTRODUCTION Although many studies have examined the risk and protective factors associated with suicidal behavior, little is known about the probability of transition from suicidal thoughts to suicidal attempts and the factors that distinguish those who have suicidal thoughts from those who progress to a suicide attempt. OBJECTIVES To determine the probability and predictors of transition to a suicide attempt among young and middle-aged males with a history of suicidal thoughts but no prior history of attempting suicide. METHODS We used data from the first two waves of the Australian Longitudinal Study on Male Health, approximately two years apart. We followed the cohort of males aged 18-55 years who, at wave 1, reported a lifetime history of suicidal ideation but no history of a prior suicide attempt. We report transition probabilities to a first suicide attempt at Wave 2 and used logistic regression models to examine baseline predictors of transition to a first suicide attempt over the two-year period among males aged 18 years and older. RESULTS From the 1,564 males with suicidal thoughts at wave 1,140 participants (8.9%; 95% CI:7.6,10.5) reported to have had their first suicide attempt in the two-year period. In multivariate analyses, males aged 30-39 (OR=0.31; 95% CI: 0.16,0.60), 40-49 (OR=0.47; 95% CI:0.24,0.91) and 50-55 (OR=0.31; 95% CI: 0.13,0.73) all had lower odds of a first suicide attempt compared to males aged 18-29 years. The odds of a first suicide attempt were significantly higher for males who were: living in inner regional areas (ref: major cities) (OR=2.32; 95% CI: 1.33,4.04); homosexual or bisexual (OR=2.51; 95% CI: 1.17,5.36); working night shift as their main job (OR=1.75; 95% CI: 1.05,2.91); and, living with a disability (OR=1.99; 95% CI: 1.07,3.65). Clinical indicators such as symptoms of depression and illicit substance use were not significant predictors of transition to a first suicide attempt in multivariate models, nor were indicators of social connection. CONCLUSION We estimated that 8.9% of Australian males aged 15-55 years with a history of suicidal thoughts and no prior history of suicide attempts will progress to a first suicide attempt within two-years. Neither psychological distress, illicit substance use nor social connection indicators were correlated with transition to a first suicide attempt. Rather, it was socio-demographic indicators that were associated with transition to a first suicide attempt.
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Affiliation(s)
- G Armstrong
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
| | - T Haregu
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - E Cho
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - A F Jorm
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - P Batterham
- National Centre for Epidemiology and Population Health, Canberra, Australia
| | - M J Spittal
- Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
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Balakrishnan K, Haregu T, Hill AO, Young JT, Armstrong G. Discrimination experienced by sexual minority males in Australia: Associations with suicidal ideation and depressive symptoms. J Affect Disord 2022; 305:173-178. [PMID: 35278485 DOI: 10.1016/j.jad.2022.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Discrimination has been under-examined as a social determinant of the higher rates of poor mental health experienced by sexual minorities. The objectives of our study were to: 1) assess whether discrimination was independently associated with poor mental health among sexual minority males, and 2) assess the potential mediation role of discrimination in the associations between sexual minority status and poor mental health. METHODS We used cross-sectional data on 13,230 males aged 18-55 years from the Australian Longitudinal Study on Male Health; bisexual and homosexual males comprised 1.5% and 1.6% of the sample, respectively. We fit Poisson regression and zero-inflated negative binomial regression models to examine suicidality, depressive symptoms and perceived discrimination in the past two years as correlates of suicidality and depressive symptoms. RESULTS Statistically significant differences were observed in the prevalence of perceived discrimination by sexual orientation (p < 0.001), with the highest prevalence among bisexual (29.3%) and homosexual (40.4%) males, and the lowest prevalence among heterosexual males (18.6%). After adjusting for confounding, bisexual/homosexual males had higher rates of perceived discrimination (IRR = 1.88, p < 0.001), recent suicidal ideation (IRR = 1.51, p = 0.008), lifetime suicide attempt (IRR = 2.09, p < 0.001) and recent depressive symptoms (IRR = 1.34, p < 0.001) than heterosexual males. Analysis of β-coefficients suggested that discrimination may mediate a small to moderate proportion of the association between sexual minority status and poor mental health. LIMITATIONS Use of cross-sectional data. CONCLUSION Poor mental health is more common among sexual minority males, and discrimination may be a contributor to these mental health disparities. Reducing discrimination should be considered as part of a strategy to improve the mental wellbeing of sexual minority males.
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Affiliation(s)
- K Balakrishnan
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - T Haregu
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia; Baker Heart and Diabetes Institute, Melbourne, Australia
| | - A O Hill
- Australian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia
| | - J T Young
- Centre for Health Equity, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia; School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia; National Drug Research Institute, Curtin University, Perth, Western Australia, Australia
| | - G Armstrong
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
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Zhu Q, Huang S, Gonzalez A, McGrath I, McDonald D, Haiminen N, Armstrong G, Vázquez-Baeza Y, Yu J, Kuczynski J, Sepich-Poore GD, Swafford AD, Das P, Shaffer JP, Lejzerowicz F, Belda-Ferre P, Havulinna AS, Méric G, Niiranen T, Lahti L, Salomaa V, Kim HC, Jain M, Inouye M, Gilbert JA, Knight R. Phylogeny-Aware Analysis of Metagenome Community Ecology Based on Matched Reference Genomes while Bypassing Taxonomy. mSystems 2022; 7:e0016722. [PMID: 35369727 PMCID: PMC9040630 DOI: 10.1128/msystems.00167-22] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 02/25/2022] [Indexed: 02/06/2023] Open
Abstract
We introduce the operational genomic unit (OGU) method, a metagenome analysis strategy that directly exploits sequence alignment hits to individual reference genomes as the minimum unit for assessing the diversity of microbial communities and their relevance to environmental factors. This approach is independent of taxonomic classification, granting the possibility of maximal resolution of community composition, and organizes features into an accurate hierarchy using a phylogenomic tree. The outputs are suitable for contemporary analytical protocols for community ecology, differential abundance, and supervised learning while supporting phylogenetic methods, such as UniFrac and phylofactorization, that are seldom applied to shotgun metagenomics despite being prevalent in 16S rRNA gene amplicon studies. As demonstrated in two real-world case studies, the OGU method produces biologically meaningful patterns from microbiome data sets. Such patterns further remain detectable at very low metagenomic sequencing depths. Compared with taxonomic unit-based analyses implemented in currently adopted metagenomics tools, and the analysis of 16S rRNA gene amplicon sequence variants, this method shows superiority in informing biologically relevant insights, including stronger correlation with body environment and host sex on the Human Microbiome Project data set and more accurate prediction of human age by the gut microbiomes of Finnish individuals included in the FINRISK 2002 cohort. We provide Woltka, a bioinformatics tool to implement this method, with full integration with the QIIME 2 package and the Qiita web platform, to facilitate adoption of the OGU method in future metagenomics studies. IMPORTANCE Shotgun metagenomics is a powerful, yet computationally challenging, technique compared to 16S rRNA gene amplicon sequencing for decoding the composition and structure of microbial communities. Current analyses of metagenomic data are primarily based on taxonomic classification, which is limited in feature resolution. To solve these challenges, we introduce operational genomic units (OGUs), which are the individual reference genomes derived from sequence alignment results, without further assigning them taxonomy. The OGU method advances current read-based metagenomics in two dimensions: (i) providing maximal resolution of community composition and (ii) permitting use of phylogeny-aware tools. Our analysis of real-world data sets shows that it is advantageous over currently adopted metagenomic analysis methods and the finest-grained 16S rRNA analysis methods in predicting biological traits. We thus propose the adoption of OGUs as an effective practice in metagenomic studies.
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Affiliation(s)
- Qiyun Zhu
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
| | - Antonio Gonzalez
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Imran McGrath
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Niina Haiminen
- IBM T. J. Watson Research Center, Yorktown Heights, New York, USA
| | - George Armstrong
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Julian Yu
- School of Life Sciences, Arizona State University, Tempe, Arizona, USA
- Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona, USA
| | | | | | - Austin D. Swafford
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Promi Das
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Justin P. Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Franck Lejzerowicz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Aki S. Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Guillaume Méric
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Teemu Niiranen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Internal Medicine, University of Turku, Turku, Finland
- Division of Medicine, Turku University Hospital, Finland
| | - Leo Lahti
- Department of Computing, University of Turku, Turku, Finland
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Ho-Cheol Kim
- IBM Almaden Research Center, San Jose, California, USA
| | - Mohit Jain
- Department of Medicine, University of California San Diego, La Jolla, California, USA
- Department of Pharmacology, University of California San Diego, La Jolla, California, USA
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Public Health and Primary Care, Cambridge University, Cambridge, United Kingdom
| | - Jack A. Gilbert
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA
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Armstrong G, Rahman G, Martino C, McDonald D, Gonzalez A, Mishne G, Knight R. Applications and Comparison of Dimensionality Reduction Methods for Microbiome Data. Front Bioinform 2022; 2:821861. [PMID: 36304280 PMCID: PMC9580878 DOI: 10.3389/fbinf.2022.821861] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 02/08/2022] [Indexed: 01/05/2023] Open
Abstract
Dimensionality reduction techniques are a key component of most microbiome studies, providing both the ability to tractably visualize complex microbiome datasets and the starting point for additional, more formal, statistical analyses. In this review, we discuss the motivation for applying dimensionality reduction techniques, the special characteristics of microbiome data such as sparsity and compositionality that make this difficult, the different categories of strategies that are available for dimensionality reduction, and examples from the literature of how they have been successfully applied (together with pitfalls to avoid). We conclude by describing the need for further development in the field, in particular combining the power of phylogenetic analysis with the ability to handle sparsity, compositionality, and non-normality, as well as discussing current techniques that should be applied more widely in future analyses.
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Affiliation(s)
- George Armstrong
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, United States
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, United States
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, United States
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, United States
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, United States
- Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA, United States
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, CA, United States
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, United States
| | - Antonio Gonzalez
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, United States
| | - Gal Mishne
- Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA, United States
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, United States
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, United States
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, United States
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, United States
- *Correspondence: Rob Knight,
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Armstrong G, Cantrell K, Huang S, McDonald D, Haiminen N, Carrieri AP, Zhu Q, Gonzalez A, McGrath I, Beck KL, Hakim D, Havulinna AS, Méric G, Niiranen T, Lahti L, Salomaa V, Jain M, Inouye M, Swafford AD, Kim HC, Parida L, Vázquez-Baeza Y, Knight R. Efficient computation of Faith's phylogenetic diversity with applications in characterizing microbiomes. Genome Res 2021; 31:2131-2137. [PMID: 34479875 PMCID: PMC8559715 DOI: 10.1101/gr.275777.121] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/01/2021] [Indexed: 02/01/2023]
Abstract
The number of publicly available microbiome samples is continually growing. As data set size increases, bottlenecks arise in standard analytical pipelines. Faith's phylogenetic diversity (Faith's PD) is a highly utilized phylogenetic alpha diversity metric that has thus far failed to effectively scale to trees with millions of vertices. Stacked Faith's phylogenetic diversity (SFPhD) enables calculation of this widely adopted diversity metric at a much larger scale by implementing a computationally efficient algorithm. The algorithm reduces the amount of computational resources required, resulting in more accessible software with a reduced carbon footprint, as compared to previous approaches. The new algorithm produces identical results to the previous method. We further demonstrate that the phylogenetic aspect of Faith's PD provides increased power in detecting diversity differences between younger and older populations in the FINRISK study's metagenomic data.
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Affiliation(s)
- George Armstrong
- Department of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, California 92093, USA
| | - Kalen Cantrell
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA
| | - Niina Haiminen
- IBM T. J. Watson Research Center, Yorktown Heights, New York 10562, USA
| | | | - Qiyun Zhu
- School of Life Sciences, Arizona State University, Tempe, Arizona 85281, USA
- Biodesign Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, Arizona 85281, USA
| | - Antonio Gonzalez
- Department of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA
| | - Imran McGrath
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
- Division of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Kristen L Beck
- IBM Almaden Research Center, San Jose, California 95120, USA
| | - Daniel Hakim
- Department of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, California 92093, USA
| | - Aki S Havulinna
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00014, Finland
| | - Guillaume Méric
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria 3800, Australia
| | - Teemu Niiranen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland
- Department of Internal Medicine, University of Turku, Turku 20014, Finland
- Division of Medicine, Turku University Hospital, Turku 20014, Finland
| | - Leo Lahti
- Department of Computing, University of Turku, Turku 20014, Finland
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki 00271, Finland
| | - Mohit Jain
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
- Department of Medicine, University of California, San Diego, California 92093, USA
- Department of Pharmacology, University of California, San Diego, California 92093, USA
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia
- Department of Public Health and Primary Care, Cambridge University, Cambridge CB2 1TN, United Kingdom
| | - Austin D Swafford
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
| | - Ho-Cheol Kim
- IBM Almaden Research Center, San Jose, California 95120, USA
| | - Laxmi Parida
- IBM T. J. Watson Research Center, Yorktown Heights, New York 10562, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California, San Diego, California 92093, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California 92093, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California 92093, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, USA
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Armstrong G, Martino C, Rahman G, Gonzalez A, Vázquez-Baeza Y, Mishne G, Knight R. Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data. mSystems 2021; 6:e0069121. [PMID: 34609167 PMCID: PMC8547469 DOI: 10.1128/msystems.00691-21] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 09/19/2021] [Indexed: 11/29/2022] Open
Abstract
Microbiome data are sparse and high dimensional, so effective visualization of these data requires dimensionality reduction. To date, the most commonly used method for dimensionality reduction in the microbiome is calculation of between-sample microbial differences (beta diversity), followed by principal-coordinate analysis (PCoA). Uniform Manifold Approximation and Projection (UMAP) is an alternative method that can reduce the dimensionality of beta diversity distance matrices. Here, we demonstrate the benefits and limitations of using UMAP for dimensionality reduction on microbiome data. Using real data, we demonstrate that UMAP can improve the representation of clusters, especially when the clusters are composed of multiple subgroups. Additionally, we show that UMAP provides improved correlation of biological variation along a gradient with a reduced number of coordinates of the resulting embedding. Finally, we provide parameter recommendations that emphasize the preservation of global geometry. We therefore conclude that UMAP should be routinely used as a complementary visualization method for microbiome beta diversity studies. IMPORTANCE UMAP provides an additional method to visualize microbiome data. The method is extensible to any beta diversity metric used with PCoA, and our results demonstrate that UMAP can indeed improve visualization quality and correspondence with biological and technical variables of interest. The software to perform this analysis is available under an open-source license and can be obtained at https://github.com/knightlab-analyses/umap-microbiome-benchmarking; additionally, we have provided a QIIME 2 plugin for UMAP at https://github.com/biocore/q2-umap.
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Affiliation(s)
- George Armstrong
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, California, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, California, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
- Bioinformatics and Systems Biology Program, University of California, San Diego, California, USA
| | - Antonio Gonzalez
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Gal Mishne
- Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, California, USA
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Bates J, Shrestha S, Liu Q, Smith S, Mulrooney D, Leisenring W, Gibson T, Robison L, Chow E, Oeffinger K, Armstrong G, Constine L, Hoppe B, Lee C, Yasui Y, Howell R. OC-0208 Cardiac substructure dosimetry and late cardiac arrhythmia in the Childhood Cancer Survivor Study. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06823-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Marotz C, Belda-Ferre P, Ali F, Das P, Huang S, Cantrell K, Jiang L, Martino C, Diner RE, Rahman G, McDonald D, Armstrong G, Kodera S, Donato S, Ecklu-Mensah G, Gottel N, Salas Garcia MC, Chiang LY, Salido RA, Shaffer JP, Bryant MK, Sanders K, Humphrey G, Ackermann G, Haiminen N, Beck KL, Kim HC, Carrieri AP, Parida L, Vázquez-Baeza Y, Torriani FJ, Knight R, Gilbert J, Sweeney DA, Allard SM. SARS-CoV-2 detection status associates with bacterial community composition in patients and the hospital environment. Microbiome 2021; 9:132. [PMID: 34103074 PMCID: PMC8186369 DOI: 10.1186/s40168-021-01083-0] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 04/21/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND SARS-CoV-2 is an RNA virus responsible for the coronavirus disease 2019 (COVID-19) pandemic. Viruses exist in complex microbial environments, and recent studies have revealed both synergistic and antagonistic effects of specific bacterial taxa on viral prevalence and infectivity. We set out to test whether specific bacterial communities predict SARS-CoV-2 occurrence in a hospital setting. METHODS We collected 972 samples from hospitalized patients with COVID-19, their health care providers, and hospital surfaces before, during, and after admission. We screened for SARS-CoV-2 using RT-qPCR, characterized microbial communities using 16S rRNA gene amplicon sequencing, and used these bacterial profiles to classify SARS-CoV-2 RNA detection with a random forest model. RESULTS Sixteen percent of surfaces from COVID-19 patient rooms had detectable SARS-CoV-2 RNA, although infectivity was not assessed. The highest prevalence was in floor samples next to patient beds (39%) and directly outside their rooms (29%). Although bed rail samples more closely resembled the patient microbiome compared to floor samples, SARS-CoV-2 RNA was detected less often in bed rail samples (11%). SARS-CoV-2 positive samples had higher bacterial phylogenetic diversity in both human and surface samples and higher biomass in floor samples. 16S microbial community profiles enabled high classifier accuracy for SARS-CoV-2 status in not only nares, but also forehead, stool, and floor samples. Across these distinct microbial profiles, a single amplicon sequence variant from the genus Rothia strongly predicted SARS-CoV-2 presence across sample types, with greater prevalence in positive surface and human samples, even when compared to samples from patients in other intensive care units prior to the COVID-19 pandemic. CONCLUSIONS These results contextualize the vast diversity of microbial niches where SARS-CoV-2 RNA is detected and identify specific bacterial taxa that associate with the viral RNA prevalence both in the host and hospital environment. Video Abstract.
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Affiliation(s)
- Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Farhana Ali
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Promi Das
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Kalen Cantrell
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Lingjing Jiang
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Division of Biostatistics, University of California, San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Rachel E Diner
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - George Armstrong
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Sho Kodera
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Sonya Donato
- Microbiome Core, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gertrude Ecklu-Mensah
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Neil Gottel
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Mariana C Salas Garcia
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Leslie Y Chiang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Rodolfo A Salido
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego, CA, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Mac Kenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Karenina Sanders
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Greg Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Niina Haiminen
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Kristen L Beck
- AI and Cognitive Software, IBM Research-Almaden, San Jose, CA, USA
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Research-Almaden, San Jose, CA, USA
| | | | - Laxmi Parida
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Francesca J Torriani
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego, CA, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jack Gilbert
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of California San Diego, La Jolla, CA, USA.
| | - Sarah M Allard
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA.
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA.
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9
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Armstrong G, Toogood G, Jayne DG, Smith AM. P11: NEAR INFRARED FLUORESCENT CHOLANGIOGRAPHY IN LAPAROSCOPIC CHOLECYSTECTOMY: A SINGLE CENTRE FEASIBILITY STUDY. THE OPTIMUM DOSING REGIME, LIMITATIONS AND WHERE NEXT? Br J Surg 2021. [DOI: 10.1093/bjs/znab117.096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Introduction
This study explored near-infrared fluorescent cholangiography (NIRFC) with Indocyanine Green (ICG) during laparoscopic cholecystectomy (LC) surgery in a tertiary referral hepatobiliary unit. ICG binds to albumin and is excreted in bile. NIRFC utilises the fluorescent and excretory properties of ICG to provide dynamic extrahepatic bile duct mapping during LC.
Method
Non-randomised single centre feasibility study. Twenty-two participants were sequentially allocated to four dosing subgroups prior to NIRFC assisted LC. Each received a single intravenous dose of ICG prior to LC with the Stryker Novadaq NIR laparoscope. The biliary anatomy was assessed with NIRFC at three time-points, detection was compared to radiological cholangiogram where available and surgeon satisfaction was assessed.
Result
Eight participants received 2.5mg ICG 20-40min before surgery, four 0.25mg/kg 20-40min, five 90min – 180min and five 12 – 36 hour pre-operatively. Average age 50 years (S.D±15), BMI 27.5m2 (S.D±3.6), 6/22 were acute LC procedures. The prolonged dosing interval produced increased extrahepatic biliary structure identification (p = 0.016), reduced noise to signal ratio and was consistently preferred by the operating surgeon. NIRFC was inferior to radiological cholangiogram (n = 10) (p = 0.014) for bile duct mapping. We observed iatrogenic bile spillage saturating the field and obscuring structure differentiation and peri-hilar inflammation impeding fluorescent detection in acute LC.
Conclusion
The dosing regimen 0.25mg/kg ICG 12 to 36 hours prior to surgery provides optimum NIRFC structure visualisation. Fluorescent tissue penetrance is limited in acute peri-hilar inflammation. More research in to the efficiency of NIRFC in emergency LC is required.
Take-home message
An intravenous dose of 0.25mg/kg of Indocyanine Green 12 to 36 hours before surgery is the optimum dosing regimen for increased extra-hepatic bile duct structures with near infrared fluorescent cholangiography. The role of NIRFC in acute laparoscopic cholecystectomy surgery remains ill-defined.
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Affiliation(s)
| | - G Toogood
- University of Leeds, Leeds UK
- Leeds Teaching Hospital Trust, Leeds, UK
| | - DG Jayne
- University of Leeds, Leeds UK
- Leeds Teaching Hospital Trust, Leeds, UK
| | - AM Smith
- University of Leeds, Leeds UK
- Leeds Teaching Hospital Trust, Leeds, UK
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Armstrong G, Portal C, Khot MI, West NP, Maisey T, Perry S, Tolan D, Jayne DG. O65: C-MET PROTEIN AS A COLORECTAL CANCER BIOMARKER FOR FLUORESCENCE IMAGE-GUIDED SURGERY. Br J Surg 2021. [DOI: 10.1093/bjs/znab117.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Introduction
The c-Met transmembrane protein is vital for cell differentiation and migration and is overexpressed in many gastrointestinal cancers. This study aimed to investigate a novel c-Met targeted peptide coupled to a fluorophore (EMI-137, Edinburgh Molecular Imaging Ltd.) for use in fluorescence image-guided colorectal cancer (CRC) surgery.
Method
A high c-Met expressing cell-line, HT29, was identified with temporary RNA suppression and used to develop a mouse xenograph CRC model. Tumours were allowed to grow to 10mm. EMI-137 was injected into the tail vein and biodistribution analysed using the IVIS system.
Nine patients undergoing elective surgery for colon cancer received a single IV dose EMI-137 1-3 hours before surgery. Tumour and LN fluorescence was assessed with a prototype Karl Storz laparoscope. Intraoperative fluorescence was correlated with radiological and pathological TNM stage and tissue c-Met expression using immunohistochemistry.
Result
The HT29 xenograph CRC model demonstrated selective EMI-137 uptake and fluorescence 1- 6 hours post administration. Nine participants aged 67-77 years received EMI-137 106 minutes (S.D±17) before surgery. Marked background fluorescence was observed in all patients. 4/9 (44%) patients showed mild increase in tumour fluorescence over background. 5/9 patients had histological LN disease, but no fluorescent nodes were detected intraoperatively. There was no correlation with T-stage. At histopathological assessment 8/9 participants showed moderate or high tumour c-Met expression. 8/8 malignant LNs demonstrated high c-Met expression.
Conclusion
EMI-137 is specific for human c-Met in 2D and xenograph CRC models. EMI-137 is safe for human use but its utility is limited by insufficient tumour-to-background ratios.
Take-home message
This first-in-man study of a novel fluorescent peptide targeted to the c-Met receptor, found EMI-137 lacked the sensitivity and specificity to accurately map the tumour margins and lymph node burden in laparoscopic colonic cancer resection surgery.
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Affiliation(s)
| | - C Portal
- Edinburgh Molecular Imaging Ltd, Edinburgh UK
| | - MI Khot
- University of Leeds, Leeds UK
| | - NP West
- University of Leeds, Leeds UK
- Leeds Teaching Hospital Trust
| | | | - S Perry
- University of Leeds, Leeds UK
| | - D Tolan
- Leeds Teaching Hospital Trust
| | - DG Jayne
- University of Leeds, Leeds UK
- Leeds Teaching Hospital Trust
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11
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Martino C, Shenhav L, Marotz CA, Armstrong G, McDonald D, Vázquez-Baeza Y, Morton JT, Jiang L, Dominguez-Bello MG, Swafford AD, Halperin E, Knight R. Context-aware dimensionality reduction deconvolutes gut microbial community dynamics. Nat Biotechnol 2021; 39:165-168. [PMID: 32868914 PMCID: PMC7878194 DOI: 10.1038/s41587-020-0660-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 08/03/2020] [Indexed: 11/27/2022]
Abstract
The translational power of human microbiome studies is limited by high interindividual variation. We describe a dimensionality reduction tool, compositional tensor factorization (CTF), that incorporates information from the same host across multiple samples to reveal patterns driving differences in microbial composition across phenotypes. CTF identifies robust patterns in sparse compositional datasets, allowing for the detection of microbial changes associated with specific phenotypes that are reproducible across datasets.
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Affiliation(s)
- Cameron Martino
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Liat Shenhav
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
| | - Clarisse A Marotz
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - George Armstrong
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
- Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA
| | - James T Morton
- Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Lingjing Jiang
- Division of Biostatistics, University of California San Diego, La Jolla, CA, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, Rutgers University New Brunswick, New Brunswick, NJ, USA
- Department of Anthropology, Rutgers University, New Brunswick, NJ, USA
| | - Austin D Swafford
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Eran Halperin
- Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA
- Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Institute of Precision Health, University of California, Los Angeles, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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12
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Marotz C, Belda-Ferre P, Ali F, Das P, Huang S, Cantrell K, Jiang L, Martino C, Diner RE, Rahman G, McDonald D, Armstrong G, Kodera S, Donato S, Ecklu-Mensah G, Gottel N, Garcia MCS, Chiang LY, Salido RA, Shaffer JP, Bryant M, Sanders K, Humphrey G, Ackermann G, Haiminen N, Beck KL, Kim HC, Carrieri AP, Parida L, Vázquez-Baeza Y, Torriani FJ, Knight R, Gilbert JA, Sweeney DA, Allard SM. Microbial context predicts SARS-CoV-2 prevalence in patients and the hospital built environment. medRxiv 2020:2020.11.19.20234229. [PMID: 33236030 PMCID: PMC7685343 DOI: 10.1101/2020.11.19.20234229] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [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: 11/24/2022]
Abstract
Synergistic effects of bacteria on viral stability and transmission are widely documented but remain unclear in the context of SARS-CoV-2. We collected 972 samples from hospitalized ICU patients with coronavirus disease 2019 (COVID-19), their health care providers, and hospital surfaces before, during, and after admission. We screened for SARS-CoV-2 using RT-qPCR, characterized microbial communities using 16S rRNA gene amplicon sequencing, and contextualized the massive microbial diversity in this dataset in a meta-analysis of over 20,000 samples. Sixteen percent of surfaces from COVID-19 patient rooms were positive, with the highest prevalence in floor samples next to patient beds (39%) and directly outside their rooms (29%). Although bed rail samples increasingly resembled the patient microbiome throughout their stay, SARS-CoV-2 was less frequently detected there (11%). Despite surface contamination in almost all patient rooms, no health care workers providing COVID-19 patient care contracted the disease. SARS-CoV-2 positive samples had higher bacterial phylogenetic diversity across human and surface samples, and higher biomass in floor samples. 16S microbial community profiles allowed for high classifier accuracy for SARS-CoV-2 status in not only nares, but also forehead, stool and floor samples. Across these distinct microbial profiles, a single amplicon sequence variant from the genus Rothia was highly predictive of SARS-CoV-2 across sample types, and had higher prevalence in positive surface and human samples, even when comparing to samples from patients in another intensive care unit prior to the COVID-19 pandemic. These results suggest that bacterial communities contribute to viral prevalence both in the host and hospital environment.
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Affiliation(s)
- Clarisse Marotz
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Pedro Belda-Ferre
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Farhana Ali
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Promi Das
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Shi Huang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Kalen Cantrell
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Lingjing Jiang
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Division of Biostatistics, University of California, San Diego, La Jolla, California, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Rachel E Diner
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel McDonald
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - George Armstrong
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Bioinformatics and Systems Biology Program, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Sho Kodera
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Sonya Donato
- Microbiome Core, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gertrude Ecklu-Mensah
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Neil Gottel
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Mariana C Salas Garcia
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Leslie Y Chiang
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Rodolfo A Salido
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Justin P Shaffer
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - MacKenzie Bryant
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Karenina Sanders
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Greg Humphrey
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Gail Ackermann
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Niina Haiminen
- IBM, T.J Watson Research Center, Yorktown Heights, New York, USA
| | - Kristen L Beck
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Ho-Cheol Kim
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | | | - Laxmi Parida
- AI and Cognitive Software, IBM Research-Almaden, San Jose, California, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Francesca J Torriani
- Infection Prevention and Clinical Epidemiology Unit at UC San Diego Health, Division of Infectious Diseases and Global Public Health, Department of Medicine, UC San Diego, San Diego CA, USA
| | - Rob Knight
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Computer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
| | - Jack A Gilbert
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California San Diego, La Jolla, California, USA
| | - Daniel A Sweeney
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of California San Diego, La Jolla, California, USA
| | - Sarah M Allard
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, California, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
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13
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Howell AE, Robinson JW, Wootton RE, McAleenan A, Tsavachidis S, Ostrom QT, Bondy M, Armstrong G, Relton C, Haycock P, Martin RM, Zheng J, Kurian KM. Testing for causality between systematically identified risk factors and glioma: a Mendelian randomization study. BMC Cancer 2020; 20:508. [PMID: 32493226 PMCID: PMC7268455 DOI: 10.1186/s12885-020-06967-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 05/17/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Whilst epidemiological studies have provided evidence of associations between certain risk factors and glioma onset, inferring causality has proven challenging. Using Mendelian randomization (MR), we assessed whether associations of 36 reported glioma risk factors showed evidence of a causal relationship. METHODS We performed a systematic search of MEDLINE from inception to October 2018 to identify candidate risk factors and conducted a meta-analysis of two glioma genome-wide association studies (5739 cases and 5501 controls) to form our exposure and outcome datasets. MR analyses were performed using genetic variants to proxy for candidate risk factors. We investigated whether risk factors differed by subtype diagnosis (either glioblastoma (n = 3112) or non-glioblastoma (n = 2411)). MR estimates for each risk factor were determined using multiplicative random effects inverse-variance weighting (IVW). Sensitivity analyses investigated potential pleiotropy using MR-Egger regression, the weighted median estimator, and the mode-based estimator. To increase power, trait-specific polygenic risk scores were used to test the association of a genetically predicated increase in each risk factor with glioma onset. RESULTS Our systematic search identified 36 risk factors that could be proxied using genetic variants. Using MR, we found evidence that four genetically predicted traits increased risk of glioma, glioblastoma or non-glioblastoma: longer leukocyte telomere length, liability to allergic disease, increased alcohol consumption and liability to childhood extreme obesity (> 3 standard deviations from the mean). Two traits decreased risk of non-glioblastoma cancers: increased low-density lipoprotein cholesterol (LDLc) and triglyceride levels. Our findings were similar across sensitivity analyses that made allowance for pleiotropy (genetic confounding). CONCLUSIONS Our comprehensive investigation provides evidence of a causal link between both genetically predicted leukocyte telomere length, allergic disease, alcohol consumption, childhood extreme obesity, and LDLc and triglyceride levels, and glioma. The findings from our study warrant further research to uncover mechanisms that implicate these traits in glioma onset.
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Affiliation(s)
- A E Howell
- Brain Tumour Research Centre, Institute of Clinical Neurosciences, University of Bristol, Bristol, UK
| | - J W Robinson
- Brain Tumour Research Centre, Institute of Clinical Neurosciences, University of Bristol, Bristol, UK
| | - R E Wootton
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- School of Psychological Science, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, BS8 2BN, UK
| | - A McAleenan
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - S Tsavachidis
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, UK
| | - Q T Ostrom
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, UK
| | - M Bondy
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, UK
| | - G Armstrong
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, UK
| | - C Relton
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - P Haycock
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - R M Martin
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- The National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
| | - J Zheng
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
| | - K M Kurian
- Brain Tumour Research Centre, Institute of Clinical Neurosciences, University of Bristol, Bristol, UK.
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Wong B, Thein A, Lee K, Ho C, Armstrong G, El-Jack S, To A. 842 Incidence, Predictors and Prognostic Impact of Patient-Prosthesis Mismatch Following Transcatheter Aortic Valve Implantation. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.849] [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: 11/16/2022]
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15
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Wong B, Lee K, Thein A, Ho C, Armstrong G, El-Jack S. 856 Mid-Term Outcomes of Transcatheter Aortic Valve Implantation for Severe Aortic Stenosis: The Auckland Region Experience 2011-2016. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.863] [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: 10/23/2022]
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16
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Wong B, Hyun Lee K, Thein A, Yao-Cheng Ho C, El-Jack S, Armstrong G. A079 Mid-Term Outcomes of Transcatheter Aortic Valve Implantation for Severe Aortic Stenosis: The Auckland Region Experience 2011-2016. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.05.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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17
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Wong B, Armstrong G, El-Jack S, To A. A003 Transcatheter Aortic Valve Implantation in New Zealand: The First Decade. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.05.008] [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: 10/23/2022]
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Wong B, Hyun Lee K, Thein A, Yao-Cheng Ho C, El-Jack S, Armstrong G. A076 Temporal Trends of Patients Undergoing Transcatheter Aortic Valve Implantation 2011-2019. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.05.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Wong B, Armstrong G, El-Jack S, To A. 903 Transcatheter Aortic Valve Implantation in New Zealand: The First Decade. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.910] [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: 10/23/2022]
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20
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Naseer R, Ali B, Laffir F, Kailas L, Dickinson C, Armstrong G, McCormac T. Transition Metal-Substituted Krebs-Type Polyoxometalate-Doped PEDOT Films. Langmuir 2019; 35:11007-11015. [PMID: 30892897 DOI: 10.1021/acs.langmuir.8b03785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The transition metal-substituted Krebs-type polyoxometalates (POMs) [Sb2W20M2O70(H2O)6]n-, M = Fe(III), Co(II), or Cu(II), were surface immobilized within the conducting polymer 3,4-ethylenedioxythiophene (PEDOT) on glassy carbon electrode surfaces. The immobilized films of different thicknesses were characterized by electrochemical and surface-based techniques. The inherent redox activity for the Krebs-type POMs, [Sb2W20M2O70(H2O)6]n-, M = Fe(III), Co(II), or Cu(II), that were observed in the solution phase were maintained in the polymeric PEDOT matrix. The resulting films were found to be extremely stable toward redox switching between the various POM-based redox states. The films exhibited pH-dependent redox activity and thin layer behavior up to 100 mV s-1. The films were found to be highly conductive through the employment of electrochemical impedance spectroscopy. Surface characterization of the films was carried out by X-ray photoelectron spectroscopy, atomic force microscopy, and scanning electron microscopy graph.
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Affiliation(s)
- R Naseer
- Electrochemistry Research Group, Department of Applied Science , Dundalk Institute of Technology , Dublin Road Dundalk , County Louth A91 K584 , Ireland
| | - B Ali
- Electrochemistry Research Group, Department of Applied Science , Dundalk Institute of Technology , Dublin Road Dundalk , County Louth A91 K584 , Ireland
| | - F Laffir
- Bernal Institute , University of Limerick , Limerick V94 T9PX , Ireland
| | - L Kailas
- Bernal Institute , University of Limerick , Limerick V94 T9PX , Ireland
| | - C Dickinson
- Bernal Institute , University of Limerick , Limerick V94 T9PX , Ireland
| | - G Armstrong
- Bernal Institute , University of Limerick , Limerick V94 T9PX , Ireland
| | - T McCormac
- Electrochemistry Research Group, Department of Applied Science , Dundalk Institute of Technology , Dublin Road Dundalk , County Louth A91 K584 , Ireland
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21
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Thompson PA, Brewster A, Tsavachidis S, Armstrong G, Do KA, Ha MJ, Gutierrez C, Symmans F, Bondy M. Abstract P2-07-06: Cumulative copy number imbalances after neoadjuvant chemotherapy residual breast tumor is an independent predictor of relapse. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p2-07-06] [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: Identifying breast cancer patients after neoadjuvant chemotherapy (NAC) at greatest risk of recurrence would enhance selection of patients who may benefit from novel adjuvant treatments.
Patients. 243 stage I-III breast cancer patients who underwent NAC with ≥10% residual tumor cellularity were identified from the MD Anderson Cancer Center and Ben Taub General Hospital, Harris County hospital. Tumor DNA was isolated for DNA copy number using OncoScan CNV FFPE, Affymetrix. Median follow-up was 67.8 months. Continuous residual cancer burden (RCB) scores with CNI data were available for 152 cases. To test if CNIs covering large regions were associated with recurrence after adjusting for prognostic variables and study site, data were summed to a chromosome-arm level. Eleven chromosome arms with false discovery rate <0.05 for breast cancer recurrence were identified. A stepwise multivariable model including age at diagnosis, tumor subtype, histologic grade, pre- and post-treatment stage, study site, and the 11 chromosomal arms were used to fit a parsimonious multivariate model for recurrence. Minimizing the Akaike Information Criterion yielded a final model with post-stage and a 5-arm CNI (5A-CNI) indicator including 2q, 3q, 4q, 10p, and 18p. Tumors were classified on 5A-CNI as 0 [no CNI], 1 [1- 2] and 2 [> 2].
Results. The study population included 76 non-Hispanic White, 89 Hispanic, and 68 African American patients with a mean age of 49.1 years. 105 patients were classified as 5A-CNI-0, 97 as 5A-CNI-1 and 41 as 5A-CNI-2. A higher 5A-CNI score was associated with tumor grade, ER-negative tumors (p<0.002) and tumor subtype (p=0.014). For 5A-CNI scores of 0, 1 and 2, recurrence rates of 14%, 34% and 58.5% were observed, respectively. In the final multivariable model adjusted for post-stage, RCB and study site, when compared to 5A-CNI-0, the hazard of recurrence was elevated for 5A-CNI-1 (HR= 2.27 [95% CI, 1.01-5.1]) and 5A-CNI-2 tumors (HR=7.43 [95% CI, 2.85-19.39]). Further, while the sample size is limiting, of 10 patients who were RCB3 and 5A-CNI-2, 9 relapsed (90%) during follow-up compared to only 6 of 43 (14%) of RCB3 patients with 5A-CNI-0 (p<10-6). For patients with RCB1 or 2, relapse did not differ by 5A-CNI score. Neither race nor ethnicity were found to be independently associated with recurrence or tumor subtype. However, African American, followed by Hispanic patients, were more likely than non-Hispanic White patients to be classified as 5A-CNI-2 (p=0.013).
Table 1.Significant difference in distribution of 5 arm CNI classifier by Race/Ethnicity in Study Sample (p =0.013).5A-CNI012Non-Hispanic Whiten=44; 57.9%n=25; 32.9%n=7; 9.2%Hispanicn=32; 36%n=42; 47.2%n=15; 16.9%African Americann=28; 41.2%n=23; 33.8%n=17; 25%
Conclusion. The 5A-CNI score in post NAC tumor identifies a patient population with very poor prognosis independent of current clinical prognostic factors including RCB. Validation of these findings may lead to a post NAC genomic test that identifies patients who would benefit from additional treatment Further investigation of the nature of the association between the 5A-CNI score and race/ethnicity, which appears independent of tumor subtype, is warranted.
Citation Format: Thompson PA, Brewster A, Tsavachidis S, Armstrong G, Do K-A, Ha M-J, Gutierrez C, Symmans F, Bondy M. Cumulative copy number imbalances after neoadjuvant chemotherapy residual breast tumor is an independent predictor of relapse [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P2-07-06.
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Affiliation(s)
- PA Thompson
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - A Brewster
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - S Tsavachidis
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - G Armstrong
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - K-A Do
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - M-J Ha
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - C Gutierrez
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - F Symmans
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
| | - M Bondy
- Stony Brook School of Medicine, Stony Brook, NY; University of Texas MD Anderson Cancer Center, Houston, TX; Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX
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Burke JR, Armstrong G, Mullaney T, Jayne D. Intra-operative fluorescence angiography facilitates tailored resection in ischaemic colitis - a video vignette. Colorectal Dis 2018; 20:1050. [PMID: 30184335 DOI: 10.1111/codi.14403] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 08/09/2018] [Indexed: 01/06/2023]
Affiliation(s)
- J R Burke
- The John Golligher Colorectal Surgery Unit, St James's University Hospital, Leeds Teaching Hospital Trust, Beckett Street, Leeds, West Yorkshire, LS9 7TF, UK.,Leeds Institute of Biomedical and Clinical Sciences, Clinical Sciences Building, St James's University Hospital, Leeds, West Yorkshire, LS9 7TF, UK
| | - G Armstrong
- The John Golligher Colorectal Surgery Unit, St James's University Hospital, Leeds Teaching Hospital Trust, Beckett Street, Leeds, West Yorkshire, LS9 7TF, UK.,Leeds Institute of Biomedical and Clinical Sciences, Clinical Sciences Building, St James's University Hospital, Leeds, West Yorkshire, LS9 7TF, UK
| | - T Mullaney
- The John Golligher Colorectal Surgery Unit, St James's University Hospital, Leeds Teaching Hospital Trust, Beckett Street, Leeds, West Yorkshire, LS9 7TF, UK
| | - D Jayne
- The John Golligher Colorectal Surgery Unit, St James's University Hospital, Leeds Teaching Hospital Trust, Beckett Street, Leeds, West Yorkshire, LS9 7TF, UK.,Leeds Institute of Biomedical and Clinical Sciences, Clinical Sciences Building, St James's University Hospital, Leeds, West Yorkshire, LS9 7TF, UK
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Mercuri E, Baranello G, Kirschner J, Servais L, Goemans N, Carmela Pera M, Buchbjerg J, Armstrong G, Kletzl H, Gerber M, Czech C, Cleary Y, Gorni K, Khwaja O. SMA THERAPIES II AND BIOMARKERS. Neuromuscul Disord 2018. [DOI: 10.1016/j.nmd.2018.06.303] [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: 10/28/2022]
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24
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Baranello G, Servais L, Day J, Deconinck N, Mercuri E, Klein A, Darras B, Masson R, Kletzl H, Cleary Y, Armstrong G, Seabrook T, Czech C, Gerber M, Gelblin K, Gorni K, Khwaja O. SMA THERAPIES II AND BIOMARKERS. Neuromuscul Disord 2018. [DOI: 10.1016/j.nmd.2018.06.306] [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: 10/28/2022]
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25
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Mathias K, Pandey A, Armstrong G, Diksha P, Kermode M. Outcomes of a brief mental health and resilience pilot intervention for young women in an urban slum in Dehradun, North India: a quasi-experimental study. Int J Ment Health Syst 2018; 12:47. [PMID: 30140307 PMCID: PMC6098661 DOI: 10.1186/s13033-018-0226-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 08/12/2018] [Indexed: 11/10/2022] Open
Abstract
Background Mental illness is a leading cause of the disease burden among young people. Poor mental health is linked to childhood adversity such as gender inequality, poverty and low educational attainment. Psycho-social assets in adolescents can moderate these impacts and be strengthened. The aim of this study was to assess the effectiveness of a brief mental health and resilience intervention among disadvantaged young women in urban North India. Methods We used an uncontrolled repeated measures design to evaluate the effectiveness of the 15-module mental health and resilience curriculum among young women residing in a slum in Dehradun, Uttarakhand. Standardised psychometric assessments were done to assess outcomes of the intervention at three time-points: pre-intervention (T1), post-intervention (T2), and 8-months post-intervention (T3), covering domains of self-efficacy, resilience, anxiety, depression and gender attitudes. Results Young women completing the intervention (n = 106) had all left school before 10th class. A statistically significant improvement in all psychometric measures was found at T2. These improvements were sustained at T3 in the areas of anxiety, depression and gender equality attitudes, while the measures of resilience and self-efficacy had declined to baseline. Conclusions This intervention delivered by community-based peers among highly disadvantaged young women can lead to sustained improvements in anxiety and depression and attitudes to gender equality. While other studies in LMIC have shown increased adolescent resilience through peer-led curriculums, this study demonstrates improvements in mental health and gender attitudes can endure 8-months post-intervention. This low-cost, brief intervention can improve mental health resiliency and self-efficacy among disadvantaged young people. Further research should explore how to bring sustained improvements in resilience.
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Affiliation(s)
- K Mathias
- 1Emmanuel Hospital Association, New Delhi, India.,Present Address: Landour Community Hospital, Mussoorie, Uttarakhand 248179 India
| | - A Pandey
- 2Austin Health, Heidelberg, VIC Australia
| | - G Armstrong
- 3Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - P Diksha
- 4University of Melbourne, Melbourne, Australia
| | - M Kermode
- 5Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
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Armstrong G, Croft J, Corrigan N, Brown JM, Goh V, Quirke P, Hulme C, Tolan D, Kirby A, Cahill R, O'Connell PR, Miskovic D, Coleman M, Jayne D. IntAct: intra-operative fluorescence angiography to prevent anastomotic leak in rectal cancer surgery: a randomized controlled trial. Colorectal Dis 2018; 20:O226-O234. [PMID: 29751360 PMCID: PMC6099475 DOI: 10.1111/codi.14257] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 05/02/2018] [Indexed: 02/06/2023]
Abstract
AIM Anastomotic leak (AL) is a major complication of rectal cancer surgery. Despite advances in surgical practice, the rates of AL have remained static, at around 10-15%. The aetiology of AL is multifactorial, but one of the most crucial risk factors, which is mostly under the control of the surgeon, is blood supply to the anastomosis. The MRC/NIHR IntAct study will determine whether assessment of anastomotic perfusion using a fluorescent dye (indocyanine green) and near-infrared laparoscopy can minimize the rate of AL leak compared with conventional white-light laparoscopy. Two mechanistic sub-studies will explore the role of the rectal microbiome in AL and the predictive value of CT angiography/perfusion studies. METHOD IntAct is a prospective, unblinded, parallel-group, multicentre, European, randomized controlled trial comparing surgery with intra-operative fluorescence angiography (IFA) against standard care (surgery with no IFA). The primary end-point is rate of clinical AL at 90 days following surgery. Secondary end-points include all AL (clinical and radiological), change in planned anastomosis, complications and re-interventions, use of stoma, cost-effectiveness of the intervention and quality of life. Patients should have a diagnosis of adenocarcinoma of the rectum suitable for potentially curative surgery by anterior resection. Over 3 years, 880 patients from 25 European centres will be recruited and followed up for 90 days. DISCUSSION IntAct will rigorously evaluate the use of IFA in rectal cancer surgery and explore the role of the microbiome in AL and the predictive value of preoperative CT angiography/perfusion scanning.
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Affiliation(s)
| | - J. Croft
- Clinical Trials Research UnitLeeds Institute of Clinical Trials ResearchUniversity of LeedsLeedsUK
| | - N. Corrigan
- Clinical Trials Research UnitLeeds Institute of Clinical Trials ResearchUniversity of LeedsLeedsUK
| | - J. M. Brown
- Clinical Trials Research UnitLeeds Institute of Clinical Trials ResearchUniversity of LeedsLeedsUK
| | - V. Goh
- School of Biomedical Engineering and Imaging SciencesKing's College London and Honorary Consultant RadiologistGuy's and St Thomas’ Hospitals NHS Foundation TrustLondonUK
| | | | - C. Hulme
- Academic Unit of Health EconomicsLeeds Institute of Health SciencesUniversity of LeedsLeedsUK
| | - D. Tolan
- Leeds Teaching Hospital TrustLeedsUK
| | | | - R. Cahill
- University College DublinDublinIreland
| | | | | | - M. Coleman
- Derriford HospitalPlymouth NHS TrustPlymouthUK
| | - D. Jayne
- Leeds Institute of Biological and Clinical SciencesSt James's University HospitalLeedsUK
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Mercuri E, Kirschner J, Baranello G, Servais L, Goemans N, Pera M, Marquet A, Seabrook T, Sturm S, Armstrong G, Kletzl H, Czech C, Kraus D, Abdallah H, Mueller L, Gorni K, Khwaja O. Clinical studies of RG7916 in patients with spinal muscular atrophy: SUNFISH part 1 study update. Neuromuscul Disord 2017. [DOI: 10.1016/j.nmd.2017.06.415] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Wen F, Stewart C, Armstrong G, Burke G, Land L, Miller C, Clifton B. PREDICTORS OF SATISFACTION WITH AGING IN PLACE: THE ROLE OF HOME- AND COMMUNITY-BASED SERVICES. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.3211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- F. Wen
- Family and Community Medicine, OU-TU School of Community Medicine, Tulsa, Oklahoma,
| | - C. Stewart
- College of Nursing, University of Oklahoma Health Sciences Center, Tulsa, Oklahoma,
| | - G. Armstrong
- Family and Community Medicine, OU-TU School of Community Medicine, Tulsa, Oklahoma,
| | - G. Burke
- Morton Comprehensive Health Services, Tulsa, Oklahoma,
| | - L. Land
- LIFE Senior Services, Tulsa, Oklahoma,
| | - C. Miller
- INCOG Area Agency on Aging, Tulsa, Oklahoma,
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Armstrong G, Goomany A, Prowse S. Improving day-case tonsillectomy rates and the associated best practice tariff payments at Bradford Royal Infirmary. Int J Surg 2016. [DOI: 10.1016/j.ijsu.2016.08.217] [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: 11/15/2022]
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Pasley T, Sood J, To A, Elliot T, Bera R, Armstrong G, Bottomly J. A rare cause of acute coronary syndrome in a young person, treated with non-coronary intervention. Heart Lung Circ 2015. [DOI: 10.1016/j.hlc.2015.06.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Ado JM, Etsano A, Shuaib F, Damisa E, Mkanda P, Gasasira A, Banda R, Korir C, Johnson T, Dieng B, Corkum M, Enemaku O, Mataruse N, Ohuabunwo C, Baig S, Galway M, Seaman V, Wiesen E, Vertefeuille J, Ogbuanu IU, Armstrong G, Mahoney FJ. Progress Toward Poliomyelitis Eradication in Nigeria. J Infect Dis 2014; 210 Suppl 1:S40-9. [DOI: 10.1093/infdis/jiu318] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [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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Crosslin DR, Carrell DS, Burt A, Kim DS, Underwood JG, Hanna DS, Comstock BA, Baldwin E, de Andrade M, Kullo IJ, Tromp G, Kuivaniemi H, Borthwick KM, McCarty CA, Peissig PL, Doheny KF, Pugh E, Kho A, Pacheco J, Hayes MG, Ritchie MD, Verma SS, Armstrong G, Stallings S, Denny JC, Carroll RJ, Crawford DC, Crane PK, Mukherjee S, Bottinger E, Li R, Keating B, Mirel DB, Carlson CS, Harley JB, Larson EB, Jarvik GP. Genetic variation in the HLA region is associated with susceptibility to herpes zoster. Genes Immun 2014; 16:1-7. [PMID: 25297839 PMCID: PMC4308645 DOI: 10.1038/gene.2014.51] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 07/22/2014] [Accepted: 07/24/2014] [Indexed: 01/25/2023]
Abstract
Herpes zoster, commonly referred to as shingles, is caused by the varicella zoster virus (VZV). VZV initially manifests as chicken pox, most commonly in childhood, can remain asymptomatically latent in nerve tissues for many years and often re-emerges as shingles. Although reactivation may be related to immune suppression, aging and female sex, most inter-individual variability in re-emergence risk has not been explained to date. We performed a genome-wide association analyses in 22 981 participants (2280 shingles cases) from the electronic Medical Records and Genomics Network. Using Cox survival and logistic regression, we identified a genomic region in the combined and European ancestry groups that has an age of onset effect reaching genome-wide significance (P>1.0 × 10−8). This region tags the non-coding gene HCP5 (HLA Complex P5) in the major histocompatibility complex. This gene is an endogenous retrovirus and likely influences viral activity through regulatory functions. Variants in this genetic region are known to be associated with delay in development of AIDS in people infected by HIV. Our study provides further suggestion that this region may have a critical role in viral suppression and could potentially harbor a clinically actionable variant for the shingles vaccine.
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Affiliation(s)
- D R Crosslin
- 1] Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA [2] Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - D S Carrell
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - A Burt
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - D S Kim
- 1] Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA [2] Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - J G Underwood
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - D S Hanna
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - B A Comstock
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - E Baldwin
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - M de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - I J Kullo
- Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - G Tromp
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA, USA
| | - H Kuivaniemi
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA, USA
| | - K M Borthwick
- The Sigfried and Janet Weis Center for Research, Geisinger Health System, Danville, PA, USA
| | - C A McCarty
- 1] Essentia Institute of Rural Health, Duluth, MN, USA [2] Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | - P L Peissig
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | - K F Doheny
- Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - E Pugh
- Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Kho
- Divisions of General Internal Medicine and Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - J Pacheco
- Divisions of General Internal Medicine and Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - M G Hayes
- Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - M D Ritchie
- Center for Systems Genomics, Department of Biochemistry and Molecular Biology, Pennsylvania State University, Pennsylvania, PA, USA
| | - S S Verma
- Center for Systems Genomics, Department of Biochemistry and Molecular Biology, Pennsylvania State University, Pennsylvania, PA, USA
| | - G Armstrong
- Center for Systems Genomics, Department of Biochemistry and Molecular Biology, Pennsylvania State University, Pennsylvania, PA, USA
| | - S Stallings
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - J C Denny
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - R J Carroll
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
| | - D C Crawford
- 1] Center for Human Genetics Research, Vanderbilt University, Nashville, TN, USA [2] Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - P K Crane
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - S Mukherjee
- Division of General Internal Medicine, University of Washington, Seattle, WA, USA
| | - E Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine, New York, NY, USA
| | - R Li
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - B Keating
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - D B Mirel
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - C S Carlson
- Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, USA
| | - J B Harley
- Cincinnati Children's Hospital Medical Center/Boston's Children's Hospital (CCHMC/BCH), Boston, MA, USA
| | - E B Larson
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
| | - G P Jarvik
- 1] Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA [2] Department of Genome Sciences, University of Washington, Seattle, WA, USA
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Hoffman LM, Donson AM, Nakachi I, Griesinger AM, Birks DK, Amani V, Hemenway MS, Liu AK, Wang M, Hankinson TC, Handler MH, Foreman NK, Zakrzewska M, Zakrzewski K, Fendler W, Stefanczyk L, Liberski PP, Massimino M, Gandola L, Ferroli P, Valentini L, Biassoni V, Garre ML, Sardi I, Genitori L, Giussani C, Massimi L, Bertin D, Mussano A, Viscardi E, Modena P, Mastronuzzi A, Barra S, Scarzello G, Cinalli G, Peretta P, Giangaspero F, Massimino M, Boschetti L, Biassoni V, Garre ML, Schiavello E, Sardi I, Genitori L, Bertin D, Modena P, Calareso G, Barra S, Scarzello G, Cinalli G, Peretta P, Mastronuzzi A, Giussani C, Giangaspero F, Antonelli M, Pecori E, Gandola L, Massimino M, Biassoni V, Di Meco F, Garre ML, Schiavello E, Sardi I, Genitori L, Bertin D, Viscardi E, Modena P, Barra S, Scarzello G, Cinalli G, Peretta P, Migliorati R, Taborelli A, Giangaspero F, Antonelli M, Pecori E, Gandola L, Witt H, Sill M, Wani K, Mack SC, Capper D, Pajtler K, Lambert S, Tzaridis T, Milde T, Northcott PA, Kulozik AE, Witt O, Collins VP, Ellison DW, Taylor MD, Kool M, Jones DTW, Korshunov A, Ken A, Pfister SM, Makino K, Nakamura H, Kuroda JI, Kuratsu JI, Toledano H, Margolin Y, Ohali A, Michowiz S, Witt H, Johann P, Tzaridis T, Tabori U, Walker E, Hawkins C, Taylor M, Yaniv I, Avigad S, Hoffman L, Plimpton SR, Foreman NK, Stence NV, Hankinson TC, Handler MH, Hemenway MS, Vibhakar R, Liu AK, Lourdusamy A, Rahman R, Ward J, Rogers H, Grundy R, Punchihewa C, Lee R, Lin T, Orisme W, Dalton J, Aronica E, Smith A, Gajjar A, Onar A, Pounds S, Tatevossian R, Merchant T, Ellison D, Parker M, Mohankumar K, Punchihewa C, Weinlich R, Dalton J, Tatevossian R, Phoenix T, Thiruvenkatam R, White E, Gupta K, Gajjar A, Merchant T, Boop F, Smith A, Ding L, Mardis E, Wilson R, Downing J, Ellison D, Gilbertson R, Ward J, Lourdusamy A, Speed D, Gould T, Grundy R, Rahman R, Mack SC, Witt H, Pfister SM, Korshunov A, Taylor MD, Consortium TIE, Hoffman LM, Griesinger A, Donson A, Birks D, Amani V, Foreman NK, Ohe N, Yano H, Nakayama N, Iwama T, Wright K, Hassall T, Bowers DC, Crawford J, Bendel A, Fisher PG, Merchant T, Ellison D, Klimo P, Boop F, Armstrong G, Qaddoumi I, Robinson G, Wetmore C, Broniscer A, Gajjar A, Rogers H, Chapman R, Mayne C, Duane H, Kilday JP, Coyle B, Grundy R, Graul-Conroy A, Hartsell W, Bragg T, Goldman S, Rebsamen S, Puccetti D, Salamat S, Patel NJ, Gomi A, Oguma H, Hayase T, Kawahara Y, Yagi M, Morimoto A, Wilbur C, Dunham C, Hawkins C, Tabori U, Mabbott D, Carret AS, Lafay-Cousin L, McNeely PD, Eisenstat D, Wilson B, Johnston D, Hukin J, Mynarek M, Kortmann RD, Kaatsch P, Pietsch T, Timmermann B, Fleischhack G, Benesch M, Friedrich C, von Bueren AO, Gerber NU, Muller K, Tippelt S, Warmuth-Metz M, Rutkowski S, von Hoff K, Murugesan MK, White E, Poppleton H, Thiruvenkatam R, Gupta K, Currle S, Kranenburg T, Eden C, Wright K, Ellison D, Gilbertson R, Boulos N, Dapper J, Patel Y, Wright K, Mohankumar K, Freeman B, Gajjar A, Shelat A, Stewart C, Guy R, Gilbertson R, Adamski J, Taylor M, Tabori U, Huang A, Bartels U, Ramaswamy V, Krishnatry R, Laperriere N, Hawkins C, Bouffet E, Araki A, Chocholous M, Gojo J, Dorfer C, Czech T, Dieckmann K, Slavc I, Haberler C, Pietsch T, Mynarek M, Doerner E, Muehlen AZ, Warmuth-Metz M, Kortmann R, von Buehren A, Friedrich C, von Hoff K, Rutkowski S, von Hoff K, Kortmann RD, Gerber NU, Mynarek M, Muller K, Friedrich C, von Bueren AO, Benesch M, Warmuth-Metz M, Ottensmeier H, Resch A, Kwiecien R, Faldum A, Kuehl J, Pietsch T, Rutkowski S, Sabnis D, Storer L, Simmonds L, Blackburn S, Lowe J, Grundy R, Kerr I, Coyle B, Pietsch T, Wohlers I, Goschzik T, Dreschmann V, Denkhaus D, Doerner E, Rahmann S, Klein-Hitpass L, Iglesias MJL, Riet FG, Dhermain FD, Canale S, Dufour C, Rose CS, Puget S, Grill J, Bolle S, Parkes J, Davidson A, Figaji A, Pillay K, Kilborn T, Padayachy L, Hendricks M, Van Eyssen A, Piccinin E, Lorenzetto E, Brenca M, Massimino M, Modena P, Taylor M, Ramaswamy V, Bouffet E, Aldape K, Cho YJ, Weiss W, Phillips J, Jabado N, Mora J, Fan X, Jung S, Lee JY, Zitterbart K, French P, Kros JM, Hauser P, Faria C, Korshunov A, Pfister S, Mack SC. EPENDYMOMA. Neuro Oncol 2014; 16:i17-i25. [PMCID: PMC4046284 DOI: 10.1093/neuonc/nou068] [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: 08/07/2023] Open
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Tippelt S, Mikasch R, Warmuth-Metz M, Pietsch T, Hilger RA, Kwiecien R, Faldum A, Rutkowski S, Bode U, Siegler N, Fleischhack G, Dufour C, Delisle MB, Geoffray A, Laplanche A, Frappaz D, Icher C, Bertozzi AI, Leblond P, Doz F, Andre N, Schneider P, De Carli E, Berger C, Lejars O, Chastagner P, Soler C, Entz-Werle N, Valteau-Couanet D, Burzynski S, Janicki T, Burzynski G, Marszalek A, Deiss A, Korshunov A, Capper D, Witt H, van Tilburg C, von Deimling A, Kulozik AE, Pfister SM, Witt O, Milde T, Dhall G, Haley K, Finlay J, Rushing T, Sposto R, Seeger R, Lulla RR, Goldman S, Beattie C, DasGupta TK, Pollack I, Fisher PG, Wu S, Boyett JM, Fouladi M, Meijer L, Veal G, Walker D, Grundy R, Meijer L, Veal G, Grundy R, Konczalik W, Ivanov D, Garnett M, Parker T, Kearns P, Walker D, Grundy R, Garnett M, Rahman R, Smith S, Meijer L, Walker D, Kimpo M, Yan B, Ning C, Villegas M, Alcasabas AP, Juh YE, Chong QT, Lin TP, Dewire M, Fouladi M, Drissi R, Chow L, Goldman S, Pai A, Leach J, Lane A, Backus L, Grimme L, Tabares J, Kumar S, Sobo M, Hummel TR, Alharbi M, Abdullah S, Alharbi Q, Alshahrani M, Mosleh O, Balbaid A, Alkofide A, Alkhayat N, AlFar K, Banyhamdan A, Ahmed O, El-Badawy S, Bouffet E, Jiang MW, Zhou RH, Zhou Q, Yuan XJ, Ma J, Turner D, Wright K, Broniscer A, Robinson G, Qaddoumi I, Armstrong G, Gajjar A, Stewart C, Misra SN, Misra AK, Michalski A, Stiller C. CLINICAL TRIALS. Neuro Oncol 2014; 16:i10-i13. [PMCID: PMC4046282 DOI: 10.1093/neuonc/nou066] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2023] Open
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Boman KK, Hornquist L, Rickardsson J, Lannering B, Gustafsson G, Pitchford N, Davis E, Walker D, Hoang DH, Pagnier A, Cousin E, Guichardet K, Schiff I, Dubois-Teklali F, Krainik A, Lazar MB, Resnik K, Olsson IT, Perrin S, Burtscher IB, Lundgren J, Kahn A, Johanson A, Korzeniewska J, Dembowska-Baginska B, Perek-Polnik M, Walsh K, Gioia A, Wells E, Packer R, de Speville ED, Dufour C, Bolle S, Giraudat K, Longaud A, Kieffer V, Grill J, Puget S, Valteau-Couanet D, Hetz-Pannier L, Noulhiane M, Chieffo D, Tamburrini G, Caldarelli M, Di Rocco C, Margelisch K, Studer M, Steinlin M, Leibundgut K, Heinks T, Longaud-Vales A, Chevignard M, Dufour C, Grill J, Pujet S, Sainte-Rose C, Valteau-Couanet D, Dellatolas G, Kahalley L, Grosshans D, Paulino A, Ris MD, Chintagumpala M, Okcu F, Moore B, Stancel H, Minard C, Guffey D, Mahajan A, Herrington B, Raiker J, Manning E, Criddle J, Karlson C, Guerry W, Finlay J, Sands S, Dockstader C, Skocic J, Bouffet E, Laughlin S, Tabori U, Mabbott D, Moxon-Emre I, Scantlebury N, Taylor MD, Bouffet E, Malkin D, Laughlin S, Law N, Kumabe T, Leonard J, Rubin J, Jung S, Kim SK, Gupta N, Weiss W, Faria C, Vibhakar R, Spiegler B, Janzen L, Liu F, Decker L, Mabbott D, Lemiere J, Vercruysse T, Haers M, Vandenabeele K, Geuens S, Jacobs S, Van Gool S, Riggs L, Piscione J, Bouffet E, Timmons B, Laughlin S, Cunningham T, Bartels U, Skocic J, Liu F, Mabbott D, Riggs L, Bouffet E, Chakravarty M, Laughlin S, Laperriere N, Liu F, Skocic J, Pipitone J, Strother D, Hukin J, Fryer C, McConnell D, Mabbott D, Secco DE, Cappelletti S, Gentile S, Chieffo D, Cacchione A, Del Bufalo F, Staccioli S, Spagnoli A, Messina R, Carai A, Marras CE, Mastronuzzi A, Brinkman T, Armstrong G, Kimberg C, Gajjar A, Srivastava DK, Robison L, Hudson M, Krull K, Hardy K, Hostetter S, Hwang E, Walsh K, Leiss U, Bemmer A, Pletschko T, Grafeneder J, Schwarzinger A, Deimann P, Slavc I, Batchelder P, Wilkening G, Hankinson T, Foreman N, Handler M. NEUROPSYCHOLOGY. Neuro Oncol 2014. [DOI: 10.1093/neuonc/nou076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Effinger K, Leisenring W, Oeffinger K, Hudson M, Ness K, Marina N, Castellino S, Stovall M, Armstrong G, Robison L, Sainani K, Whittemore A. Longitudinal Evaluation of Health Status in Aging Pediatric Hodgkin Lymphoma Survivors: Report from the Childhood Cancer Survivor Study. Klin Padiatr 2014. [DOI: 10.1055/s-0034-1371157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Mulrooney D, Nunnery S, Armstrong G, Ness K, Srivastava K, Donovan D, Metzger M, Krasin M, Joshi V, Durand JB, Robison L, Hudson M, Flamm S. Coronary Artery Disease Detected by Coronary Computed Tomographic Angiography (CCTA) in Adult Survivors of Childhood Hodgkin Lymphoma. Klin Padiatr 2014. [DOI: 10.1055/s-0034-1371158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Zhou R, Ng A, Weathers R, McDonald A, Leisenring W, Goodman P, Stovall M, Armstrong G, Robison L, Hodgson D. The Evolution of Pediatric Hodgkin Lymphoma Therapy: Contemporary Protocols Significantly Reduce Radiation Exposure of Normal Tissues. Klin Padiatr 2014. [DOI: 10.1055/s-0034-1371160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Newcombe R, Armstrong G, Cave A, Inocentes C, El Jack S, Khan A. Slow for the amber or give it heaps? Traffic lights to prevent contrast induced nephropathy. Heart Lung Circ 2014. [DOI: 10.1016/j.hlc.2014.04.142] [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: 11/17/2022]
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Bie L, Li Y, Yuan H, Bondy M, Bainbridge M, Jhangiani S, Jalali A, Plon SE, Armstrong G, Bernstein J, Claus E, Davis F, Houlston R, Il'yasova D, Jenkins R, Johansen C, Lachance D, Lai R, Lau C, Merrell R, Olson S, Sadetzki S, Schildkraut J, Shete S, Barnholtz-Sloan J, Wrensch M, Consortium TG, Melin B, Gibbs RA, Haberler C, Czech T, Chocholous M, Dorfer C, Slavc I, Hayashi S, Sasaki H, Kimura T, Nakamura T, Miwa T, Hirose Y, Yoshida K, Jalali A, Bainbridge M, Jhangiani S, Plon SE, Armstrong G, Bernstein J, Claus E, Davis F, Houlston R, Il'yasova D, Jenkins R, Johansen C, Lachance D, Lai R, Lau C, Merrell R, Olson SH, Sadetzki S, Schildkraut J, Shete S, Barnholtz-Sloan J, Wrensch M, Melin B, Gibbs RA, Bondy M, Jenkins R, Wrensch M, Kollmeyer T, Armstrong G, Olson S, Lai R, Lachance D, Lau C, Claus E, Barnholtz-Sloan J, Il'yasova D, Schildkraut J, Houlston R, Shete S, Bernstein J, Davis F, Merrell R, Johansen C, Sadetzki S, Consortium TG, Melin B, Bondy M, Palmer J, Li J, Kenyon L, Andrews D, Kim L, Glass J, Werner-Wasik M, Shi W, Takayanagi S, Mukasa A, Aihara K, Saito K, Otani R, Tanaka S, Nakatomi H, Aburatani H, Ichimura K, Ueki K, Saito N, Walsh KM, Decker PA, Eckel-Passow JE, Molinaro AM, Hansen HM, Rice T, Zheng S, Kollmeyer T, Berger MS, Chang SM, Prados MD, Rynearson A, Caron A, Kosel ML, Lachance DH, O'Neill BP, Giannini C, Wiencke JK, Jenkins RB, Wrensch MR, Wang Z, Bao Z, Jiang T, Wang Z, Bao Z, Jiang T. MOLECULAR EPIDEMIOLGOY. Neuro Oncol 2013. [DOI: 10.1093/neuonc/not180] [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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Acquaye AA, Vera-Bolanos E, Gilbert MR, Armstrong TS, Lin L, Amidei C, Lovely M, Arzbaecher J, Page M, Mogensen K, Lupica K, Maher ME, Armstrong TS, Won M, Wefel JS, Gilbert MR, Pugh S, Wendland MM, Brachman DG, Brown PD, Crocker IR, Robins HI, Lee RJ, Mehta M, Arvold N, Wang Y, Zigler C, Schrag D, Dominici F, Boele F, Douw L, de Groot M, van Thuijl H, Cleijne W, Heimans J, Taphoorn M, Reijneveld J, Klein M, Bunevicius A, Tamasauskas S, Tamasauskas A, Deltuva V, Bunevicius R, Cahill J, Lin L, Armstrong T, Acquaye A, Vera-Bolanos E, Gilbert M, Padhye N, Chan J, Clarke J, Lawton K, Rabbitt J, DeSilva A, Prados M, Rosen M, Cher L, Diamond E, Applebaum A, Corner G, DeRosa A, Breitbart W, DeAngelis L, Hoogendoorn P, Ikuta S, Muragaki Y, Maruyama T, Nitta M, Tamura M, Okamoto S, Iseki H, Okada Y, Lacouture M, Davis ME, Elzinga G, Butowski N, Tran D, Villano J, Wong E, Legge D, Cher L, Legge D, Cher L, Mills K, Lin L, Acquaye A, Vera-Bolanos E, Gilbert M, Armstrong T, Lovely M, Sullivan D, Mueller S, Fullerton H, Stratton K, Leisenring W, Armstrong G, Weathers R, Stovall M, Goldsby R, Sklar C, Robison L, Krull K, Pace A, Villani V, Focarelli S, Benincasa D, Benincasa A, Carapella CM, Pompili A, Peiffer AM, Burke A, Leyer CM, Shing E, Kearns WT, Hinson WH, Case D, Rapp SR, Shaw EG, Chan MD, Porensky E, Cavaliere R, Newton H, Shilds A, Burgess S, Ravelo A, Taylor F, Mazar I, Abrey L, Rooney A, Graham C, McKenzie H, Fraser M, MacKinnon M, McNamara S, Rampling R, Carson A, Grant R, Rooney A, Heimans L, Woltz S, Kerrigan S, McNamara S, Grant R, Seibl-Leven M, Wittenstein K, Rohn G, Goldbrunner R, Timmer M, Kennedy J, Sherman W, Sen-Gupta I, Garic I, Macken M, Gerard E, Raizer J, Schuele S, Grontoft M, Stragliotto G, Taphoorn MJ, Henriksson R, Bottomley A, Cloughesy T, Wick W, Mason W, Saran F, Nishikawa R, Ravelo A, Hilton M, Chinot OL, Trad W, Simpson T, Wright K, Tran T, Choong C, Barton M, Hovey E, Robinson K, Koh ES, Vera-Bolanos E, Acquaye AA, Brown PD, Chung C, Gilbert MR, Vardy J, Armstrong TS, Walbert T, Mendoza T, Vera-Bolanos E, Gilbert M, Acquaye A, Armstrong T, Walbert T, Glantz M, Schultz L, Puduvalli VK, Oudenhoven M, Farin C, Hoffman R, Armstrong T, Ewend M, Wu J. SYMPTOM MANAGEMENT/QUALITY OF LIFE. Neuro Oncol 2013; 15:iii226-iii234. [PMCID: PMC3823907 DOI: 10.1093/neuonc/not192] [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: 01/19/2024] Open
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Amirian ES, Scheurer ME, Wrensch M, Olson SH, Lai R, Lachance D, Armstrong G, Zhou R, Wiemels J, Lau C, Claus E, Barnholtz-Sloan J, Il'yasova D, Schildkraut J, Houlston R, Shete S, Bernstein J, Jenkins R, Davis F, Merrell R, Johansen C, Sadetzki S, Melin B, Bondy M, Dardis C, Dembowska-Baginska B, Swieszkowska E, Drogosiewicz M, Polnik MP, Filipek I, Grudzinska M, Grajkowska W, Perek D, Flores K, Crawford J, Piccioni D, Lemus H, Lindsay S, Kesari S, Bricker P, Fonkem E, Ebue E, Song J, Harris F, Thawani N, DiPatre PL, Newell-Rogers MK, Fonkem E, Gittleman H, Kruchko C, Ostrom Q, Chen Y, Farah P, Ondracek A, Wolinsky Y, Barnholtz-Sloan J, Griffin J, Tobin R, Newell-Rogers MK, Ebwe E, Fonkem E, Johnson D, Leeper H, Uhm J, Lee A, Back M, Gzell C, Kastelan M, Wheeler H, Ostrom Q, Kruchko C, Gittleman H, Chen Y, Ondracek A, Farah P, Wolinsky Y, Barnholtz-Sloan J, Lopez E, Sepulveda C, Diego-Perez J, Betanzos Y, de Leon AP, Prabhu V, Perry E, Melian E, Barton K, Lee J, Anderson D, Urgoiti GR, Singh A, Tsang RY, Nordal R, Lim G, Chan J, Starreveld Y, de Robles P, Biagioni B, Hamilton M, Easaw J, Senerchia A, Eleuterio S, Souza E, Cappellano A, Seixas T, Cavalheiro S, Saba N, Torres-Carranza A, Canales-Martinez LC, Perez-Cardenas S, Miranda-Maldonado I, Barbosa-Quintana O, de Leon AMP, Umemura Y, Ronan L, van Zanten SV, Jansen M, van Vuurden D, Vandertop P, Kaspers GJ, Wallach J, LaSala P, Kalnicki S, Garg M, Wong TT, Ho DM, Chang KP, Yen SH, Guo WY, Chang FC, Liang ML, Chen HHS, Chen YW, Pan DHC, Chung WY, Yoo H, Jung KW, Lee SH, Shin SH, Ha J, Won YJ, Yoon H, Offor O, Helenowski I, Bhandari R, Raparia K, Marymont M, DeCamp M, de Hoyos A, Chandler J, Bendok B, Chmura S, Mehta M. EPIDEMIOLOLGY. Neuro Oncol 2013; 15:iii32-iii36. [PMCID: PMC3823890 DOI: 10.1093/neuonc/not175] [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: 12/21/2023] Open
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Corrie PG, Moody AM, Armstrong G, Nolasco S, Lao-Sirieix SH, Bavister L, Prevost AT, Parker R, Sabes-Figuera R, McCrone P, Balsdon H, McKinnon K, Hounsell A, O'Sullivan B, Barclay S. Is community treatment best? a randomised trial comparing delivery of cancer treatment in the hospital, home and GP surgery. Br J Cancer 2013; 109:1549-55. [PMID: 23989945 PMCID: PMC3776975 DOI: 10.1038/bjc.2013.414] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2013] [Revised: 06/27/2013] [Accepted: 07/01/2013] [Indexed: 11/23/2022] Open
Abstract
Background: Care closer to home is being explored as a means of improving patient experience as well as efficiency in terms of cost savings. Evidence that community cancer services improve care quality and/or generate cost savings is currently limited. A randomised study was undertaken to compare delivery of cancer treatment in the hospital with two different community settings. Methods: Ninety-seven patients being offered outpatient-based cancer treatment were randomised to treatment delivered in a hospital day unit, at the patient's home or in local general practice (GP) surgeries. The primary outcome was patient-perceived benefits, using the emotional function domain of the EORTC quality of life (QOL) QLQC30 questionnaire evaluated after 12 weeks. Secondary outcomes included additional QOL measures, patient satisfaction, safety and health economics. Results: There was no statistically significant QOL difference between treatment in the combined community locations relative to hospital (difference of −7.2, 95% confidence interval: −19·5 to +5·2, P=0.25). There was a significant difference between the two community locations in favour of home (+15·2, 1·3 to 29·1, P=0.033). Hospital anxiety and depression scale scores were consistent with the primary outcome measure. There was no evidence that community treatment compromised patient safety and no significant difference between treatment arms in terms of overall costs or Quality Adjusted Life Year. Seventy-eight percent of patients expressed satisfaction with their treatment whatever their location, whereas 57% of patients preferred future treatment to continue at the hospital, 81% at GP surgeries and 90% at home. Although initial pre-trial interviews revealed concerns among health-care professionals and some patients regarding community treatment, opinions were largely more favourable in post-trial interviews. Interpretation: Patient QOL favours delivering cancer treatment in the home rather than GP surgeries. Nevertheless, both community settings were acceptable to and preferred by patients compared with hospital, were safe, with no detrimental impact on overall health-care costs.
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Affiliation(s)
- P G Corrie
- Oncology Centre, Addenbrooke's Hospital, Cambridge, UK
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Medhi GK, Mahanta J, Hazarika I, Armstrong G, Adhikary R, Mainkar M, Paranjape RS. Syphilis infection among female sex workers in Nagaland, Northeast India: analysing their vulnerability to the infection. Int J STD AIDS 2013; 24:193-7. [PMID: 23514833 DOI: 10.1177/0956462412472427] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This paper describes the sex work characteristics and factors associated with syphilis among female sex workers (FSWs) in Dimapur district of high HIV prevalence Indian state, Nagaland. The study recruited 426 FSWs in 2006 using respondent-driven sampling. The prevalence of syphilis was 21.1% and HIV prevalence was 11.7%. Approximately half were under 25 years of age. Clients were solicited mainly in public places (32.7%), while hotels/lodges/rented rooms were the most common places of entertainment (57.2%). Condom use during the last sex was 36.5% with occasional and 27% with regular clients. Being married, being widowed/divorced/separated, being illiterate or having a history of drug use increased the likelihood of syphilis infection. Entertaining clients in bars/booze joints decreased the probability of syphilis. FSWs who moved between soliciting in public places or bars/booze joints and then entertaining in hotels/lodges/rented rooms had a higher vulnerability to syphilis. In summary, we found that the vulnerability to syphilis among mostly young FSWs in Dimapur varied according to their sex work characteristics, marital and educational status and drug use habits. They may be more vulnerable to HIV and sexually transmitted infections (HIV/STIs) due to the low rate of condom use. The findings have direct implications for HIV/STI prevention programmes in Northeast India.
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Affiliation(s)
- G K Medhi
- Regional Medical Research Centre, NE Region, Indian Council of Medical Research, Dibrugarh, Assam, India
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Lin A, Oh T, Alawami M, Chow K, Looi K, Looi J, Ellis C, Webster M, El-Jack S, Scott D, Stewart J, Ormiston J, Armstrong G, Khan A, Kay P, Harrison W, Gamble G, Ruygrok P. Primary Percutaneous Coronary Intervention (PPCI) for ST Segment Elevation Myocardial Infarction (STEMI) Patients: The 2012 Auckland/Northland Experience. Heart Lung Circ 2013. [DOI: 10.1016/j.hlc.2013.05.528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Meyer T, Caplin M, Reed N, Qian W, Lao-Sirieix S, Armstrong G, Valle J, Tablot D, Cunningham D, Corrie P. Treatment of Advanced Neuroendocrine Tumours: Final Results of the Ukinets and Ncri Randomised Phase 2 Net01 Trial. Ann Oncol 2012. [DOI: 10.1016/s0923-7534(20)33731-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Corrie PG, Bulusu R, Wilson CB, Armstrong G, Bond S, Hardy R, Lao-Sirieix S, Parashar D, Ahmad A, Daniel F, Hill M, Wilson G, Blesing C, Moody AM, McAdam K, Osborne M. A randomised study evaluating the use of pyridoxine to avoid capecitabine dose modifications. Br J Cancer 2012; 107:585-7. [PMID: 22814578 PMCID: PMC3419962 DOI: 10.1038/bjc.2012.318] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Pyridoxine is frequently used to treat capecitabine-induced hand-foot syndrome (HFS), although the evidence of benefit is lacking. We performed a randomised placebo-controlled trial to determine whether pyridoxine could avoid the need for capecitabine dose modifications and improve outcomes. METHODS A total of 106 patients planned for palliative single-agent capecitabine (53 in each arm, 65%/35% colorectal/breast cancer) were randomised to receive either concomitant pyridoxine (50 mg po) or matching placebo three times daily. RESULTS Compared with placebo, pyridoxine use was associated with an increased rate of avoiding capecitabine dose modifications (37% vs 23%, relative risk 0.59, 95% CI 0.29, 1.20, P=0.15) and fewer grade 3/4 HFS-related adverse events (9% vs 17%, odds ratio 0.51, 95% CI 0.15-1.6, P=0.26). Use of pyridoxine did not improve response rate or progression-free survival. CONCLUSION Pyridoxine may reduce the need for capecitabine dose modifications and the incidence of severe HFS, but does not impact on antitumour effect.
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Affiliation(s)
- P G Corrie
- Oncology Division, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK.
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Brinkman T, Liu W, Armstrong G, Gajjar A, Merchant T, Kimberg C, Kun L, Srivastava DK, Gurney J, Robison L, Hudson M, Krull K, Rubens J, Lulla RR, Lai JS, Fangusaro J, Wolfe K, Madan-Swain A, Reddy A, Hunter G, Banos J, Kana R, Resch A, von Hoff K, von Buren AO, Friedrich C, Treulieb W, Lindow C, Kwiecien R, Ottensmeier H, Rutkowski S, Armstrong CL, Phillips PC, Lustig RA, Stamos C, Li Y, Belasco J, Minturn JE, Fisher MJ, Heinks-Maldonado T, Wingeier K, Lory V, Schafer C, Studer M, Steinlin M, Leibundgut K, de Ruiter M, Schouten N, Greidanus J, Grootenhuis M, Oosterlaan J, A ALV, Grill J, Puget S, Sainte-Rose C, Dufour C, Kieffer V, Dellatolas G, -Shkedi EB, Ben Arush MW, Kaplinsky H, Ash S, Goshen Y, Yaniv I, Cohen IJ, Levy JM, Tello T, Lu X, Gao D, Wilkening G, Donson A, Foreman N, Liu A, Korzeniewska J, Baginska BD, Perek D, Staccioli S, Chieffo D, Petrarca M, Moxon-Emre I, Taylor M, Bouffet E, Malkin D, Hawkins C, Scantlebury N, Mabbott D, Cunningham T, Bouffet E, Scantlebury N, Piscione J, Igoe D, Orfus M, Bartels U, Laughlin S, Tabori U, Mabbott D, Hardy K, Carlson-Green B, Conklin H, Dockstader C, Bouffet E, Wang F, Mabbott D, Bostan S, Dockstader C, Scantlebury N, Bouffet E, Liu F, Wang F, Mabbott D, Zou P, Li Y, Conklin HM, Mulhern RK, Butler RW, Ogg RJ, Diver T, Manley P, Kieran M, Chordas C, Liptak C, Delaney B, Brand S, Rey-Casserly C. NEUROPSYCHOLOGY. Neuro Oncol 2012. [DOI: 10.1093/neuonc/nos103] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Homaira N, Rahman M, Bresee J, Armstrong G, Widdowson MA, Fry A, Brooks W, Sturm-Ramirez K, Hossain K, Islam K, Luby S, Azziz-Baumgartner E. Risk factors for hospitalization from acute respiratory illness among Bangladesh children aged <5 years. Int J Infect Dis 2012. [DOI: 10.1016/j.ijid.2012.05.774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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