77 research outputs found

    On the growth of nonuniform lattices in pinched negatively curved manifolds

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    We study the relation between the exponential growth rate of volume in a pinched negatively curved manifold and the critical exponent of its lattices. These objects have a long and interesting story and are closely related to the geometry and the dynamical properties of the geodesic flow of the manifold

    The European Code of Cancer Practice

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    There are considerable disparities between the quality of cancer care and clinical outcomes for cancer patients in different European countries, regions, hospitals and communities. These have persisted despite the introduction of many European and National Cancer Plans, an extensive portfolio of clinical guidelines and the existence of evidence based guidelines for the good practice in planning cancer healthcare systems. We describe the European Code of Cancer Practice which is a citizen and patient-centred accessible widely disseminated statement of the core requirements for good clinical cancer practice. The Code sets out 10 key overarching Rights of what a patient should expect from their healthcare system each supported by a plain language explanation. The Rights highlight the importance of equal access to affordable and optimal cancer care, good quality information about an individual patient’s disease and treatment and about the quality and outcomes of the cancer service they will use. Specialised multidisciplinary cancer care teams, shared decision-making, research and innovation, a focus on quality of life, the integration of supportive and palliative care within oncology are all emphasised. There is a need for a systematic approach to supporting cancer survivors with a survivorship care plan including their rehabilitation, reintegration into society and return to work where appropriate without discrimination. The Code has been co-produced by a team of cancer patients, patient advocates and cancer professionals to bridge the gap between clinical guidelines, healthcare policies and patients’ everyday experience. It is robustly evidence-based and supported by a comprehensive review of the medical literature and evidence for good clinical practice. The Code is strongly endorsed by Europe’s professional and patient cancer organisations and the European Commission

    Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

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    The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification

    Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

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    Abstract The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.Peer reviewe

    Salue Zarathoustra

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    Françoise Sullivan

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    David Moore / Françoise Sullivan

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    Moore and Sullivan explain the sources informing their photographic and sculptural works
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