A feasibility study of a psycho-educational support intervention for men with prostate cancer on active surveillance.

Background: PROACTIVE is a psycho-educational support intervention for prostate cancer patients managed on Active Surveillance. PROACTIVE is comprised of two interdependent components: group workshops and internet delivered information modules. Aims: We conducted a feasibility study to determine the practicality of delivering PROACTIVE at two prostate cancer centres. Methods: The feasibility study was a mixed methods randomized parallel-group exploratory trial. Participants were randomised using a ratio of 3:1 PROACTIVE group to treatment as usual. Qualitative semi-structured interviews and quantitative measures were completed at baseline, intervention completion (week 6), and at 6-months follow-up. Interview transcripts were analysed thematically using Framework analysis. Descriptive statistics were used to examine recruitment and retention rates, and changing trends in outcome measures. Results: Most aspects of the research design and PROACTIVE intervention were acceptable to those participating in the study. In particular participants valued the opportunity to share and discuss experiences with other prostate cancer patients on Active Surveillance, and receive detailed authoritative information. However, three issues were identified: 1. a low response rate (13 participants recruited, response rate 16%) 2. low utilisation of internet delivered information modules 3. self-perceived low levels of anxiety amongst participants with the majority perceiving their cancer as not impacting on their day-to-day life or causing anxiety. Conclusions: Due to these significant research design issues it is not recommended PROACTIVE be evaluated in a large scale randomised controlled trial. Further research is required to explore the impact of Active Surveillance on anxiety amongst men with localized prostate cancer managed by Active Surveillance

The Polygenic and Monogenic Basis of Blood Traits and Diseases

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation. Analysis of blood cell traits in the UK Biobank and other cohorts illuminates the full genetic architecture of hematopoietic phenotypes, with evidence supporting the omnigenic model for complex traits and linking polygenic burden with monogenic blood diseases

Guidelines for postoperative care in gynecologic/oncology surgery: Enhanced Recovery After Surgery (ERAS®) Society recommendations - Part II.

This article is freely available via Open Access. Click on the 'Additional Link' above to access the full-text via the publisher's site.Published (Open Access

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease