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  • 2015-2019  (56)
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  • 1
    Online Resource
    Online Resource
    Washington, D. C. :Island Press,
    Keywords: Restoration ecology-Social aspects. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (338 pages)
    Edition: 1st ed.
    ISBN: 9781610919098
    Series Statement: The Science and Practice of Ecological Restoration Series
    DDC: 333.7153
    Language: English
    Note: Portada -- Pagina del Titulo -- Derechos de Autor -- Dedicación -- Tabla de Contenido -- ACERCA DE LA SOCIEDAD PARA LA RESTAURACIÓN ECOLÓGICA -- LISTA DE VIAJES DE CAMPO VIRTUALES -- PREFACIO -- PREFACIO -- PARTE I. ¿Por qué restauramos? -- Capítulo 1. Visión general -- Algunos Términos y Conceptos Básicos -- Capítulo 2. Valores y Restauración Ecológica -- Valores Ecológicos -- Valores personales -- Valores socioeconómicos -- Valores culturales -- Holones y Ambitos de Organización -- Capítulo 3. Perturbaciones y Deterioro -- Disturbio -- Respuesta del ecosistema a la perturbación -- Degradación, Daño, Destrucción -- Consecuencias ecológicas del deterioro -- PARTE II. Lo que restauramos -- Capítulo 4. Recuperación -- Visión ecológica de la recuperación -- Teoría Ecológica y Restauración -- Capítulo 5. Atributos Ecológicos de los Ecosistemas Restaurados -- Composición de especies -- Estructura de la Comunidad -- Entorno abiótico -- Contexto de paisaje -- Funcionalidad Ecológica -- Continuidad histórica -- Complejidad Ecológica -- Autoorganización -- Resiliencia -- Autosostenibilidad -- Apoyo a la Biosfera -- Metas y estándares del proyecto -- Capítulo 6. Paisajes Semiculturales y Ecosistemas -- Culturalización de Paisajes -- Ejemplos de paisajes semiculturales -- Selección de referencias semiculturales para la restauración -- PARTE III. Cómo lo restauramos -- Capítulo 7. Referencias Ecológicas -- Concepto de referencia -- Tipos de sitios de referencia -- Pasos en la preparación del modelo de referencia -- Referencias temporales -- Referencias en Restauración del Paisaje -- Trayectorias -- Capítulo 8. Enfoques para la restauración -- Intensidad de esfuerzo -- Enfoque Armazón -- Fuentes de conocimiento -- Capítulo 9. Planificación y evaluación de proyectos -- Directrices para la Restauración -- Estrategias y Diseños. , Inoculaciones de suelos y sustratos -- Evaluación del proyecto -- PARTE IV. La Restauración Ecológica como Profesión -- Capítulo 10. Relación de la restauración con los campos relacionados -- Restauración Ecológica y Ecología de la Restauración -- Manejo de ecosistemas -- Rehabilitación, Reclamación, Revegetación y Remediación -- Mitigación Compensatoria -- Fabricación y Creación -- Arquitectura y Diseño de Paisajes -- Ingeniería ecológica -- Restauración del Capital Natural -- Ciencia de la Sostenibilidad -- Capítulo 11. Proyectos y el restaurador profesional -- Las partes interesadas -- Responsables del proyecto -- Roles dentro del proyecto -- Estructura organizativa -- Evolución de Contextos -- Modelos de Gobernanza -- Certificación de los Restauradores -- Capítulo 12. Moviendo la Restauración adelante-Juntos -- Percepciones de la Restauración Ecológica -- Nuevos ecosistemas -- Cambio climático -- Avanzando -- La Ciencia y la Práctica de la Restauración Ecológica -- GLOSARIO -- REFERENCIAS CITADAS -- ACERCA DE LOS AUTORES Y COLABORADORES -- ÍNDICE.
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  • 2
    Online Resource
    Online Resource
    Washington, D. C. :Island Press,
    Keywords: Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (330 pages)
    Edition: 1st ed.
    ISBN: 9781610919104
    Series Statement: The Science and Practice of Ecological Restoration Series
    Language: English
    Note: Capa -- Título Página -- Direito Autoral -- Dedicação -- Índice -- SOBRE A SOCIEDADE PARA A RESTAURAÇÃO ECOLÓGICA -- LISTA DE VISITAS DE CAMPO VIRTUAIS -- PRÓLOGO -- PREFÁCIO -- PARTE I. Por que Restauramos -- Capítulo 1. Panorama Geral -- Alguns Termos e Conceitos Básicos -- Capítulo 2. Valores e Restauração Ecológica -- Valores Ecológicos -- Valores Pessoais -- Valores Socioeconômicos -- Valores Culturais -- Hólons e Domínios de Organização -- Capítulo 3. Distúrbio e Degradação -- Distúrbio -- Resposta do Ecossistema a Distúrbios -- Degradação, Danificação, Destruição -- Consequências Ecológicas da Degradação -- PARTE II. O que Restauramos -- Capítulo 4. Recuperação -- Visões Ecológicas da Recuperação -- Teoria Ecológica e Restauração -- Capítulo 5. Atributos Ecológicos dos Ecossistemas Restaurados -- Composição de Espécies -- Estrutura da Comunidade -- Ambiente Abiótico -- Contexto da Paisagem -- Funcionalidade Ecológica -- Continuidade Histórica -- Complexidade Ecológica -- Auto-Organização -- Resiliência -- Autossustentabilidade -- Suporte à Biosfera -- Objetivos e Padrões do Projeto -- Capítulo 6. Paisagens e Ecossistemas Semiculturais -- Culturalização de Paisagens -- Exemplos de Paisagens Semiculturais -- Seleção de Objetivos Semiculturais para Restauração -- PARTE III. Como Restauramos -- Capítulo 7. Referências Ecológicas -- Conceito de Referência -- Tipos de Ecossistema de Referência -- Etapas na Preparação do Modelo de Referência -- Referências Temporais -- Referências na Restauração de Paisagem -- Trajetórias -- Capítulo 8. Abordagens de Restauração -- Grau de Intervenção -- Abordagem de Grupos Funcionais -- Fontes de Conhecimento -- Capítulo 9. Planejamento e Avaliação de Projetos -- Diretrizes para Restauração -- Estratégias e Delineamentos -- Inoculação de Solos e Substratos -- Avaliação de Projetos. , PARTE IV. Restauração Ecológica como uma Profissão -- Capítulo 10. Relação da Restauração com outros Campos de Conhecimento -- Ecologia da Restauração e Restauração Ecológica -- Gestão de Ecossistemas -- Reabilitação, Revegetação e Remediação -- Mitigação Compensatória -- Ecossistemas Criados Artificialmente -- Arquitetura e Design Paisagístico -- Engenharia Ecológica -- Restauração do Capital Natural -- Ciência da Sustentabilidade -- Capítulo 11. Projetos e o Profissional -- Partes Envolvidas -- Patrocinadores do Projeto -- Funções do Projeto -- Estrutura Organizacional -- Evolução de Contextos -- Modelos de Manejo -- Certificação Profissional -- Capítulo 12. Avançando com a Restauração - Juntos -- Percepções sobre Restauração Ecológica -- Ecossistemas Novos -- Alterações Climáticas -- Próximos Passos -- A Ciência e a Prática da Restauração Ecológica -- GLOSSÁRIO -- REFERÊNCIAS BIBLIOGRÁFICAS -- SOBRE OS AUTORES E COLABORADORES -- ÍNDICE.
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  • 3
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-02-16
    Keywords: Abies; Acer; AGE; Alnus; Apiaceae; Artemisia; Asteraceae; Betula; Botrychium; Brassicaceae; Buxus; Campanulaceae; Cannabaceae; Carpinus betulus; Caryophyllaceae; Castanea; Centaurea cyanus; Centaurea nigra-type; Ceratophyllum: spines; Cerealia; Chenopodiaceae; Cichorioideae; Corylus; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Dryopteris filix-mas; EPD; Ephedra distachya; Ephedra fragilis; Equisetum; Ericaceae; Fabaceae; Fagus; Filipendula; Frangula alnus; Fraxinus excelsior; Gramineae; Hedera helix; Helianthemum; Hippophae rhamnoides; Ilex aquifolium; Indeterminable: unknown; Juglans; Juniperus; KULC; KULLENBERG corer; Lamiaceae; Liliaceae; Lotus; Lycopodium (added); Lycopodium (counted); Lycopodium tablets; Lygeum spartum; Lythrum; Malvaceae; Mentha-type; Monolete spore(s); Myriophyllum; Nuphar; Nymphaea; Pediastrum; Picea; Pinus; Pinus, stomata; Plantago; Plantago alpina-type; Plantago lanceolata; Plantago major/media; Polygonum amphibium; Polypodium; Populus; Potamogeton; Quercus; Ranunculaceae; Ranunculus subgen. Batrachium; Rosaceae; Rosaceae trees; Rubiaceae; Rumex; Salix; Sample volume; Sanguisorba minor; Sanguisorba officinalis; Saxifraga oppositifolia-type; Secale; Selaginella selaginoides; SO8923; Soppensee; Sparganium; Sphagnum; Spores, trilete; Taxus; Thalictrum; Thelypteris palustris; Tilia; Trapa; Trifolium; Typha; Ulmus; Urtica; Varia; Viburnum; Viscum; Zea mays
    Type: Dataset
    Format: text/tab-separated-values, 23571 data points
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  • 4
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    Unknown
    PANGAEA
    In:  Supplement to: Finsinger, Walter; Heiri, Oliver; Valsecchi, Verushka; Tinner, Willy; Lotter, André F (2007): Modern pollen assemblages as climate indicators in southern Europe. Global Ecology and Biogeography, 16(5), 567-582, https://doi.org/10.1111/j.1466-8238.2007.00313.x
    Publication Date: 2024-03-06
    Description: Aim and Location: Our aim is to develop pollen-climate inference models for southern Europe and to test their performance and inference power by cross-validation with modern climate data. Surface sediments collected from lakes along a climate gradient from the winter-cold/summer-wet Alps to winter-wet/summer-dry Sicily were analysed for modern pollen assemblages. Methods: For each lake, mean monthly temperatures, seasonal precipitation and site-specific climate uncertainties have been estimated. Pollen-climate relationships were studied using numerical analyses, and inference models were derived by partial least squares (PLS) and weighted-averaging PLS (WA-PLS) regressions for January and July temperatures (T ), and for winter, spring and summer precipitation (P). In order to assess whether these variables are also of ecological importance for vegetation in the subregions, we split the data set into an Alpine and a Mediterranean subset. Results: Low bootstrap cross-validated root mean square errors of prediction (RMSEP) for January T (1.7 °C), July T (2.1 °C) and summer P (38 mm), as well as low RMSEPs expressed as a percentage of the gradient length (8 -9%), indicate a good inference power. Models revealed excellent to good performance statistics for January T, July T and summer P (r2 = 0.8), and for winter and spring P (r 2 = c. 0.5). We show that the variables with the highest explanatory power differ between the two subregions. These are summer T and P for the Alpine set, and January T, winter P and July T for the Mediterranean set. Main conclusions: The study reveals the influence of climatic conditions during the growing season on modern pollen assemblages and indicates the potential of pollen data for long-term climate reconstructions of parameters such as winter precipitation and temperature, which seem to be the main factors having an influence on the variability of Mediterranean climate. These models may therefore provide important information on past regional climate variability in southern Europe.
    Keywords: Abies; Acer; Achillea-type; Aconitum; Aesculus; Aethusa cynapium-type; Alchemilla-type; Allium-type; Alnus glutinosa-type; Alnus viridis; Ambrosia-type; Amorpha fruticosa; Anemone hortensis; Anemone nemorosa-type; Anthericum-type; Anthriscus sylvestris-type; Apium inundatum-type; Arbutus-type; Artemisia; Asplenium-type; Asteroideae; Athyrium filix-femina; Betula; Biviere_Cesaro; Biviere Cesaro, BC; Botrychium; Bupleurum-type; Buxus; Calluna vulgaris; Caltha-type; Campanula; Carpinus; Caryophyllaceae; Castanea sativa; Cedrus; Celtis; Centaurea nigra-type; Centaurea solstitialis; Cerastium cerastioides-type; Cerastium fontanum-type; Cerealia; Chaerophyllum hirsutum-type; Chamaerops humilis; Chenopodiaceae-type; Cichorioideae; Cirsium; Cistus crispus-type; Cistus salvifolius; Clematis group; Cornus mas; Cornus sanguinea; Corylus avellana; Crassula; Cruciferae; Cryptogramma crispa; Cryptomeria-type; Cystopteris fragilis; Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dianthus-type; Dryopteris filix-mas-type; Echium; Elaeagnus; Empetrum-type; Ephedra distachya-type; Ephedra fragilis-type; Erica arborea-type; Ericaceae; Eucalyptus; Euphorbia; Event label; Fagus; Falcaria vulgaris-type; Fallopia convolvulus-type; Filipendula; Frangula alnus; Fraxinus excelsior; Fraxinus ornus; GC; GCUWI; Gentiana pneumonanthe-type; Geranium; Gramineae; Gravity corer; Gravity corer, UWITEC; Gypsophila repens-type; Hedera-type; Helianthemum; Helleborus viridis; Heracleum-type; HONK; HON-Kajak sediment corer; Humulus lupulus; Humulus-type; Huperzia selago; Hypericum perforatum-type; Identification; Italy; Juglans; Juniperus; Lac_des_Grenouilles; Lac des Grenouilles, GREN; Lago_Albano; Lago_Buse; Lago_Calamone; Lago_Campagna; Lago_Cece; Lago_Colbricon_inferiore; Lago_Colbricon_superiore; Lago_Cornisello_inferiore; Lago_Cornisello_superiore; Lago_del_Segrino; Lago_dellAccesa; Lago_dellAquilente; Lago_delle_Lame; Lago_delle_Trote; Lago_dellOrgials; Lago_di_Alice_Superiore; Lago_di_Alserio; Lago_di_Ballone; Lago_di_Bertignano; Lago_di_Bolsena; Lago_di_Bracciano; Lago_di_Burano; Lago_di_Caldaro; Lago_di_Caldonazzo; Lago_di_Campo; Lago_di_Candia; Lago_di_Caselette; Lago_di_Cei; Lago_di_Comabbio; Lago_di_Fibreno; Lago_di_Fraturno; Lago_di_Ganna; Lago_di_Lases; Lago_di_Lavarone; Lago_di_Martignano; Lago_di_Meugliano; Lago_di_Mezzano; Lago_di_Monate; Lago_di_Moncrivello; Lago_di_Montorfano; Lago_di_Nemi; Lago_di_Paterno; Lago_di_Pojala; Lago_di_Rascino; Lago_di_San_Floriano; Lago_di_San_Michele; Lago_di_Santa_Colomba; Lago_di_SantAnna_di_Vinadio; Lago_di_Sibolla; Lago_di_Tovel; Lago_di_Valdurna; Lago_di_Varese; Lago_di_Varsi; Lago_di_Ventina; Lago_di_Vico; Lago_Fedaia; Lago_Gemini_inferiore; Lago_Ghirla; Lago_Giulianello; Lago_Grande_di_Avigliana; Lago_Grande_di_Monticchio-2; Lago_Idro; Lago_Lamar; Lago_Laudemio; Lago_Lauson; Lago_Lungo; Lago_Lusia_III; Lago_Madrano; Lago_Monticolo_Grande; Lago_Moregna; Lago_Padule_Cerretano; Lago_Pusiano; Lago_San_Puoto; Lago_Santo; Lago_Santo_Parmense; Lago_Santo_Terlago; Lago_Scuro_Cerretano; Lago_Scuro_delle_Agoraie; Lago_Scuro-Polverosa; Lago_Sfondato; Lago_Sirino; Lago_Sirio; Lago_Stellune; Lago_Trearie; Lago_Verde_del_Passo_del_Brattello; Lago_Viverone; Lago Albano, ALB; Lago Buse, BUSE; Lago Calamone, CAL; Lago Campagna, CAM; Lago Cece, CECE; Lago Colbricon inferiore, COLI; Lago Colbricon superiore, COLS; Lago Cornisello inferiore, COIN; Lago Cornisello superiore, COSU; Lago dellAccesa, ACC; Lago dellAquilente, AQUI; Lago delle Lame, LAM; Lago delle Trote, TROT; Lago dellOrgials, ORG; Lago del Segrino, SEG; Lago di Alice Superiore, ALI; Lago di Alserio, ALS; Lago di Ballone, BAL; Lago di Bertignano, BERT; Lago di Bolsena, BOLS; Lago di Bracciano, BRA; Lago di Burano, BUR; Lago di Caldaro, CALD; Lago di Caldonazzo, CA; Lago di Campo, PT 16; Lago di Candia, CAN; Lago di Caselette, CAS; Lago di Cei, CEI; Lago di Comabbio, COM; Lago di Fibreno, FIBR; Lago di Fraturno, FRAT; Lago di Ganna, GAN; Lago di Lases, LAS; Lago di Lavarone, LA; Lago di Martignano, MART; Lago di Meugliano, MEU; Lago di Mezzano, MEZ; Lago di Monate, MONA; Lago di Moncrivello, MOC; Lago di Montorfano, MON; Lago di Nemi, NEMI; Lago di Paterno, PAT; Lago di Pojala, PT 41; Lago di Rascino, RASC; Lago di San Floriano, SFLO; Lago di San Michele, LSM; Lago di Santa Colomba, SCOL; Lago di SantAnna di Vinadio, SANN; Lago di Sibolla, SIB; Lago di Tovel, TOV; Lago di Valdurna, VALD; Lago di Varese, VARE; Lago di Varsi, VAR; Lago di Ventina, VEN; Lago di Vico, VICO; Lago Fedaia, FED; Lago Gemini inferiore, GEMNF; Lago Ghirla, GHI; Lago Giulianello, GIUL; Lago Grande di Avigliana, AVG; Lago Grande di Monticchio, MONT 05/3A; Lago Idro, IDR; Lago Lamar, LAMR; Lago Laudemio, LL; Lago Lauson, LAUZ; Lagolo; Lagolo, LAG; Lago Lungo, LU; Lago Lusia III, LUSI; Lago Madrano, MADR; Lago Monticolo Grande, MGRA; Lago Moregna, MOR; Lago Padule Cerretano, PADC; Lago Pusiano, PUS; Lago San Puoto, SAP; Lago Santo (Cembra), SCEM; Lago Santo Parmense, SPA; Lago Santo Terlago, TERL; Lago Scuro Cerretano, SCER; Lago Scuro delle Agoraie (Lame), SCLA; Lago Scuro - Polverosa, SCPO; Lago Sfondato, PT 09; Lago Sirino, SI; Lago Sirio, SIR; Lago Stellune, STE; Lago Trearie, LT; Lago Verde del Passo del Brattello, VERD; Lago Viverone, VIV; Laguna_del_Faro; Laguna del Faro (Pantano Grande), LF; Lake; Larix; Latitude of event; Ligustrum; Lilium martagon-type; Linum austriacum-type; Liquidambar; Loiseleuria procumbens-type; Longitude of event; Lotus-type; Lythrum salicaria; Melampyrum; Mentha-type; Mercurialis; Minuartia rubra-type; Morus alba; Odontites-type; Olea; Onobrychis-type; Ononis-type; Ostrya-type; Pantano_Cuba; Pantano Cuba, PC; Papilionaceae; Peucedanum-type; Phillyrea; Picea; Pimpinella major-type; Pinus cembra; Pinus sylvestris-type; Pistacia; Plantago alpina-type; Plantago coronopus; Plantago lanceolata-type; Plantago major/media; Platanus; Polygonum amphibium; Polygonum aviculare; Polygonum viviparum; Polypodium vulgare-type; Populus; Potentilla-type; Primula farinosa; Primula veris-type; Prunus-type; Pteridium aquilinum; Pulsatilla; Quercus cerris-type; Quercus ilex-type; Quercus robur/Q. pubescens-type; Ranunculus acris-type; Rhamnus-type; Rhinanthus-type; Rhus group; Robinia pseudoacacia; Rosaceae; Rubiaceae; Rumex acetosa-type; Rumex acetosella-type; Sagina; Salix; Sambucus; Sample code/label; Sanguisorba minor ssp. minor; Sanguisorba officinalis; Saxifraga oppositifolia-type; Scrofulariaceae; Secale; Sedum; Senecio-type; Silene dioica-type; Silene vulgaris-type; Site; Solanum dulcamara; Solanum nigrum-type; Soldanella; Sorbus-type; Spores, monolete; Symphytum; Tamarix; Taxus; Thalictrum; Thesium humifusum; Tilia; Trifolium pratense-type; Trifolium repens-type; Trinia glauca-type; Trollius; Tsuga; Ulex-type; Ulmus; Umbelliferae; Urio_Quattrocchi; Urio Quattrocchi, UQ; Urtica pilulifera; Urtica urens; Vaccinium-type; Valeriana dioica-type; Valeriana officinalis-type; Veronica-type; Viburnum lantana; Vicia-type; Viscum; Vitis; Zea mays
    Type: Dataset
    Format: text/tab-separated-values, 17388 data points
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  • 5
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-02-16
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; EPD; KULC; KULLENBERG corer; Lithology/composition/facies; SO8923; Soppensee
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-02-16
    Keywords: Age, 14C calibrated; Calendar age; DEPTH, sediment/rock; EPD; KULC; KULLENBERG corer; SO8923; Soppensee
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 7
    Publication Date: 2015-02-26
    Description: Aims To investigate the prognostic impact of left-ventricular (LV) cardiac magnetic resonance (CMR) deformation imaging in patients with non-ischaemic dilated cardiomyopathy (DCM) compared with late-gadolinium enhancement (LGE) quantification and LV ejection fraction (EF). Methods and results A total of 210 subjects with DCM were examined prospectively with standard CMR including measurement of LGE for quantification of myocardial fibrosis and feature tracking strain imaging for assessment of LV deformation. The predefined primary endpoint, a combination of cardiac death, heart transplantation, and aborted sudden cardiac death, occurred in 26 subjects during the median follow-up period of 5.3 years. LV radial, circumferential, and longitudinal strains were significantly associated with outcome. Using separate multivariate analysis models, global longitudinal strain (average of peak negative strain values) and mean longitudinal strain (negative peak of the mean curve of all segments) were independent prognostic parameters surpassing the value of global and mean LV radial and circumferential strain, as well as NT-proBNP, EF, and LGE mass. A global longitudinal strain greater than –12.5% predicted outcome even in patients with EF 〈 35% ( P 〈 0.01) and in those with presence of LGE ( P 〈 0.001). Mean longitudinal strain was further investigated using a clinical model with predefined cut-offs (EF 〈 35%, presence of LGE, NYHA class, mean longitudinal strain greater than –10%). Mean longitudinal strain exhibited an independent prognostic value surpassing that provided by NYHA, EF, and LGE (HR = 5.4, P 〈 0.01). Conclusion LV longitudinal strain assessed with CMR is an independent predictor of survival in DCM and offers incremental information for risk stratification beyond clinical parameters, biomarker, and standard CMR.
    Print ISSN: 1525-2167
    Electronic ISSN: 1532-2114
    Topics: Medicine
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  • 8
    Publication Date: 2015-02-28
    Description: Background Comparative genomic hybridization (CGH) arrays are increasingly used in personalized medicine programs to identify gene copy number aberrations (CNAs) that may be used to guide clinical decisions made during molecular tumor boards. However, analytical processes such as the centralization step may profoundly affect CGH array results and therefore may adversely affect outcomes in the precision medicine context. Patients and methods The effect of three different centralization methods: median, maximum peak, alternative peak, were evaluated on three datasets: (i) the NCI60 cell lines panel, (ii) the Cancer Cell Line Encyclopedia (CCLE) panel, and (iii) the patients enrolled in prospective molecular screening trials (SAFIR-01 n = 283, MOSCATO-01 n = 309), and compared with karyotyping, drug sensitivity, and patient-drug matching, respectively. Results Using the NCI60 cell lines panel, the profiles generated by the alternative peak method were significantly closer to the cell karyotypes than those generated by the other centralization strategies ( P 〈 0.05). Using the CCLE dataset, selected genes (ERBB2, EGFR) were better or equally correlated to the IC50 of their companion drug (lapatinib, erlotinib), when applying the alternative centralization. Finally, focusing on 24 actionable genes, we observed as many as 7.1% (SAFIR-01) and 6.8% (MOSCATO-01) of patients originally not oriented to a specific treatment, but who could have been proposed a treatment based on the alternative peak centralization method. Conclusion The centralization method substantially affects the call detection of CGH profiles and may thus impact precision medicine approaches. Among the three methods described, the alternative peak method addresses limitations associated with existing approaches.
    Print ISSN: 0923-7534
    Electronic ISSN: 1569-8041
    Topics: Medicine
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  • 9
    Publication Date: 2015-09-30
    Description: Nature Methods 12, 963 (2015). doi:10.1038/nmeth.3542 Authors: Christian Schmidl, André F Rendeiro, Nathan C Sheffield & Christoph Bock Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to map histone marks and transcription factor binding throughout the genome. Here we present ChIPmentation, a method that combines chromatin immunoprecipitation with sequencing library preparation by Tn5 transposase ('tagmentation'). ChIPmentation introduces sequencing-compatible adaptors in a single-step reaction directly on bead-bound chromatin, which reduces time, cost and input requirements, thus providing a convenient and broadly useful alternative to existing ChIP-seq protocols.
    Print ISSN: 1548-7091
    Electronic ISSN: 1548-7105
    Topics: Biology , Medicine
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  • 10
    Publication Date: 2016-05-26
    Description: Background In the PALOMA-3 study, palbociclib plus fulvestrant demonstrated improved progression-free survival compared with fulvestrant plus placebo in hormone receptor-positive, HER2– endocrine-resistant metastatic breast cancer (MBC). This analysis compared patient-reported outcomes (PROs) between the two treatment groups. Patients and methods Patients were randomized 2 : 1 to receive palbociclib 125 mg/day orally for 3 weeks followed by 1 week off ( n = 347) plus fulvestrant (500 mg i.m. per standard of care) or placebo plus fulvestrant ( n = 174). PROs were assessed on day 1 of cycles 1–4 and of every other subsequent cycle starting with cycle 6 using the EORTC QLQ-C30 and its breast cancer module, QLQ-BR23. High scores (range 0–100) could indicate better functioning/quality of life (QoL) or worse symptom severity. Repeated-measures mixed-effect analyses were carried out to compare on-treatment overall scores and changes from baseline between treatment groups while controlling for baseline. Between-group comparisons of time to deterioration in global QoL and pain were made using an unstratified log-rank test and Cox proportional hazards model. Results Questionnaire completion rates were high at baseline and during treatment (from baseline to cycle 14, ≥95.8% in each group completed ≥1 question on the EORTC QLQ-C30). On treatment, estimated overall global QoL scores significantly favored the palbociclib plus fulvestrant group [66.1, 95% confidence interval (CI) 64.5–67.7 versus 63.0, 95% CI 60.6–65.3; P = 0.0313]. Significantly greater improvement from baseline in pain was also observed in this group (–3.3, 95% CI –5.1 to –1.5 versus 2.0, 95% CI –0.6 to 4.6; P = 0.0011). No significant differences were observed for other QLQ-BR23 functioning domains, breast or arm symptoms. Treatment with palbociclib plus fulvestrant significantly delayed deterioration in global QoL ( P 〈 0.025) and pain ( P 〈 0.001) compared with fulvestrant alone. Conclusion Palbociclib plus fulvestrant allowed patients to maintain good QoL in the endocrine resistance setting while experiencing substantially delayed disease progression. Clinical Trial Registration NCT01942135.
    Print ISSN: 0923-7534
    Electronic ISSN: 1569-8041
    Topics: Medicine
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