Long-term health-related quality of life of prostate cancer survivors varies by primary treatment. Results from the PiCTure (Prostate Cancer Treatment, your experience) study

PURPOSE: Men are living longer with prostate cancer. In a two-country study, we investigated the health-related quality of life (HRQoL) of prostate cancer survivors up to 18 years post-diagnosis.

METHODS: Postal questionnaires were administered in 2012 to 6559 prostate cancer (ICD10 C61) survivors 2-18 years post-diagnosis, identified through population-based cancer registries in Ireland. HRQoL was measured using QLQ-C30 and QLQ-PR25. HRQoL, functional and symptom scores were compared by primary treatment(s) using multiple linear regression.

RESULTS: Fifty-four percent responded (n = 3348). After controlling for socio-demographic and clinical factors, global HRQoL varied significantly by primary treatment (p < 0.001); compared to radical prostatectomy (RP), survivors who received androgen deprivation therapy alone (ADT; p < 0.001) or external beam radiotherapy (EBRT) without concurrent ADT (p = 0.001) had significantly lower global HRQoL. The global HRQoL of men who received brachytherapy (p = 0.157), EBRT with concurrent ADT (p = 0.940) or active surveillance/watchful waiting (p = 0.388) was not significantly different from men treated with RP. There were statistically and clinically significant differences in general (fatigue, pain, dyspnoea, appetite loss, constipation, diarrhoea, financial difficulties) and disease-specific symptoms (sexual, urinary, bowel, ADT) by primary treatment. Fatigue and insomnia scores were high for survivors in all treatment groups.

CONCLUSIONS: Prostate cancer survivors' long-term HRQoL varied with primary treatment.

IMPLICATIONS OF CANCER SURVIVORS: Population-based information regarding statistically and clinically significant treatment effects on long-term global HRQoL, symptom burden and functionality should be provided during treatment decision-making. Screening for symptoms and utilising interventions during long-term follow-up may improve survivors' HRQoL.

New genetic loci link adipose and insulin biology to body fat distribution

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.

Genetic studies of body mass index yield new insights for obesity biology

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Degradation, Harm and Survival in a Women’s Prison:Special Issue on Gendered Violence

This article is derived in in-depth qualitative research in the women’s unit of a male prison in Northern Ireland. The researchers had unprecedented observational and interview access and moved freely within the unit including the punishment block. What follows focuses primarily on the experiences of women and girls, recording their accounts of the impact on their lives of a harsh and neglectful regime. It demonstrates how the institutionalisation of violation and neglect within women’s prisons is often gender specific. Finally, it considers the key research recommendations, noting official responses.

From Conflict to Peace?:The Rights Abuses of Women and Girls in Northern Ireland

This article is based on primary research conducted by the authors in Northern Ireland in Mourne House women’s unit at Maghaberry Prison in 2004 and in Ash House women’s prison unit in Hydebank Wood Young Offender Centre from 2005-2006. It explores the imprisonment of women in prison in the context of a society slowly and unevenly emerging from violent conflict and against a backdrop of the global rise of women’s imprisonment over the past two decades. The history of the gendered punishment of politically motivated prisoners is explored, followed by discussion of the findings of primary research in Mourne House women’s unit and, following its closure, in Ash House. The conclusion analyses how women’s prison experiences in the North contribute to an understanding of the contested terrain of agency and resistance. Finally, the article explores the potential for, and barriers, to change within women’s imprisonment in Northern Ireland.

Parent ratings of child cognition and language compared with Bayley-III in preterm 3-year-olds

Background
Parent ratings on questionnaires may provide valid and cost-effective tools for screening cognitive development of children at risk of developmental delay.

Aims
In this study, we examined the convergent validity of combining parent-based reports of non-verbal cognitive abilities (PARCA3) and verbal abilities (CDI-III) in relation to the Bayley-III cognitive scale in 3-year-olds born late pre-term.

Methods
Mothers of 185 late-preterm children were asked to complete the PARCA3 and the CDI-III shortly before children reached age three; children were then assessed using the Bayley-III close to their third birthday.

Results
The two maternal questionnaires were significantly and moderately correlated with the Bayley-III cognitive scores. Together the maternal ratings accounted for 15% of the variance in the Bayley-III cognitive scores, after controlling for other covariates in regression analysis. In particular, the PARCA3 contributed significantly to explain variance in the Bayley-III cognitive scores when controlling for the CDI-III. However, the CDI-III was also independently associated with the Bayley-III cognitive scores.

Conclusions
Parent ratings of child cognition and language together may provide cost-effective screening of development in “at risk” preschoolers.

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

This work presents two new score functions based on the Bayesian Dirichlet equivalent uniform (BDeu) score for learning Bayesian network structures. They consider the sensitivity of BDeu to varying parameters of the Dirichlet prior. The scores take on the most adversary and the most beneficial priors among those within a contamination set around the symmetric one. We build these scores in such way that they are decomposable and can be computed efficiently. Because of that, they can be integrated into any state-of-the-art structure learning method that explores the space of directed acyclic graphs and allows decomposable scores. Empirical results suggest that our scores outperform the standard BDeu score in terms of the likelihood of unseen data and in terms of edge discovery with respect to the true network, at least when the training sample size is small. We discuss the relation between these new scores and the accuracy of inferred models. Moreover, our new criteria can be used to identify the amount of data after which learning is saturated, that is, additional data are of little help to improve the resulting model.

Extended Tree Augmented Naive Classifier

This work proposes an extended version of the well-known tree-augmented naive Bayes (TAN) classifier where the structure learning step is performed without requiring features to be connected to the class. Based on a modification of Edmonds’ algorithm, our structure learning procedure explores a superset of the structures that are considered by TAN, yet achieves global optimality of the learning score function in a very efficient way (quadratic in the number of features, the same complexity as learning TANs). A range of experiments show that we obtain models with better accuracy than TAN and comparable to the accuracy of the state-of-the-art classifier averaged one-dependence estimator.

Evaluation of the diagnostic potential of a novel field immunomagnetic separation-immunochromatographic lateral flow assay to detect Mycobacterium bovis cells in European badger (Meles meles) faeces

The European badger (Meles meles) is a natural reservoir for Mycobacterium bovis, the causative agent of Bovine Tuberculosis, and has consequently been implicated in transmission of the disease to cattle. This study describes application of a novel M. bovis-specific immunochromatographic (lateral flow) assay in combination with immunomagnetic separation (IMS-LFD), to test badger faeces samples. In total, 441 faeces samples from badgers of unknown disease status collected from latrines at 110 badger setts throughout Northern Ireland (NI) and 100 faeces samples from badgers of known infection status from Great Britain (GB) were tested. Faeces (approx. 1g) was homogenised in 9 ml phosphate buffered saline, filtered (70 µm), and then 6-8 ml subjected to the IMS-LFD test. Residual clarified faecal homogenates were subjected to automated IMS followed by MGIT™ liquid culture (AIMS-MGIT™ culture) and qPCR (AIMS-qPCR). Evidence for the presence of M. bovis was obtained for 78 (18%), 61 (14%) and 140 (32%) of 441 NI badger faeces samples, and 10 (10%), 41 (41%) and 56 (56%) of 100 GB badger faeces samples, by IMS-LFD, AIMS-MGIT culture and AIMS-qPCR tests, respectively. The IMS-LFD test was less sensitive than AIMS-qPCR for detection of M. bovis and was, therefore, detecting badgers shedding high numbers of M. bovis in their faeces only. However, these ‘super shedders’ may be primarily responsible for the spread of Bovine Tuberculosis so are, therefore, an important target. This non-invasive test could form the basis of a field surveillance tool to indicate infected badger groups which are actively spreading M. bovis.

STC-1 Cells

Gastrointestinal hormones such as cholecystokinin (CCK), glucagon like peptide 1 (GLP-1), and peptide YY (PYY) play an important role in suppressing hunger and controlling food intake. These satiety hormones are secreted from enteroendocrine cells present throughout the intestinal tract. The intestinal secretin tumor cell line (STC-1) possesses many features of native intestinal enteroendocrine cells. As such, STC-1 cells are routinely used in screening platforms to identify foods or compounds that modulate secretion of gastrointestinal hormones in vitro. This chapter describes this intestinal cell model focussing on it’s applications, advantages and limitations. A general protocol is provided for challenging STC-1 cells with test compounds.