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OBJECTIVE To examine interactions between demographic, pain, urinary, psychological and environmental predictors of quality of life (QOL) in men with chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). PATIENTS AND METHODS In all, 253 men previously enrolled in the National Institutes of Health Chronic Prostatitis Cohort study in North American tertiary-care clinical centres (six in the USA and one in Canada) self-reported with validated instruments, including the QOL subscales of the Short Form-12 (physical, SF12-PCS; and mental, SF12-MCS), demographics, urinary symptoms, depression, current pain, pain coping, ‘catastrophising’ (catastrophic thinking about pain), pain control, social support and solicitous responses from a partner. Data were collected through a one-time survey. Covariates determined to be significant were entered into a multivariable regression model predicting SF12-PCS and SF12-MCS. RESULTS Adjusting for covariates, regression models showed that poorer SF12-PCS scores were predicted by worse urinary function ( P < 0.001) and increased use of pain-contingent resting as a coping strategy ( P = 0.026). Further, poorer SF12-MCS scores were predicted by greater pain catastrophizing ( P = 0.002) and lower perceptions of social support ( P< 0.001). In separate follow-up analyses, helplessness was the significant catastrophizing subscale ( P < 0.001), while support from family and friends were the significant social support subscales ( P = 0.002 and <0.001). CONCLUSIONS These data suggest that specific coping and environmental factors (i.e. catastrophizing, pain-contingent resting, social support) are significant in understanding how patients with CP/CPPS adjust. These data can be used to develop specific cognitive-behavioural programmes for men with CP/CPPS who are refractory to standard medical therapy. [ABSTRACT FROM AUTHOR]

The performance of next generation sequencing in profiling somatic mutations from plasma samples, especially in early‐stage cancer, is limited by its sensitivity due to the extremely low amount of cell‐free DNA (cfDNA). Polymerase‐chain reaction amplification of limited amounts of DNA often results in product redundancy and the amplification of contaminant DNA. Numerous methods have been developed to detect and quantify ultralow frequency mutations. In this study, the potential of tagging each DNA molecule with a unique molecular identifier (UMI) is explored to detect ultralow frequency mutations in early‐stage lung cancer patients. Paired tissue and blood samples from 32 patients with early‐stage (stage IA‐IIB) nonsmall cell lung cancer are sequenced using a panel consisting of 168 cancer‐related genes. Collectively, 93.8% of tissue samples and 59.4% of plasma samples have mutations detected. The concordance rates are acceptable for all patients except for stage IA. Notably, mutations at an alleleic frequency as low as 0.1% are detected in UMI‐tagged cfDNA samples. Moreover, patients with nonadenocarcinoma histology have a significantly higher detection rate than patients with adenocarcinoma (92.9% vs 33.3%, P = 0.002). The study demonstrates the potential of UMI in early detection of lung cancer from plasma samples. [ABSTRACT FROM AUTHOR]