Epigenomic Blood-Based Early Detection of Pancreatic Cancer Employing Cell-Free DNA.

BACKGROUND & AIMS: Early detection of pancreatic cancer (PaC) can drastically improve survival rates. Approximately 25% of subjects with PaC have type 2 diabetes diagnosed within 3 years prior to the PaC diagnosis, suggesting that subjects with type 2 diabetes are at high risk of occult PaC. We have developed an early-detection PaC test, based on changes in 5-hydroxymethylcytosine (5hmC) signals in cell-free DNA from plasma. METHODS: Blood was collected from 132 subjects with PaC and 528 noncancer subjects to generate epigenomic and genomic feature sets yielding a predictive PaC signal algorithm. The algorithm was validated in a blinded cohort composed of 102 subjects with PaC, 2048 noncancer subjects, and 1524 subjects with non-PaCs. RESULTS: 5hmC differential profiling and additional genomic features enabled the development of a machine learning algorithm capable of distinguishing subjects with PaC from noncancer subjects with high specificity and sensitivity. The algorithm was validated with a sensitivity for early-stage (stage I/II) PaC of 68.3% (95% confidence interval [CI], 51.9%-81.9%) and an overall specificity of 96.9% (95% CI, 96.1%-97.7%). CONCLUSIONS: The PaC detection test showed robust early-stage detection of PaC signal in the studied cohorts with varying type 2 diabetes status. This assay merits further clinical validation for the early detection of PaC in high-risk individuals.

Impact of a Mindfulness-Based, Workplace Group Yoga Intervention on Burnout, Self-Care, and Compassion in Health Care Professionals: A Pilot Study.

OBJECTIVE: To investigate whether a workplace, group mindfulness-based yoga intervention could help manage burnout and improve wellbeing among health care professionals. METHODS: A total of 43 health care professionals participated in 8-week supervised workplace, group mindfulness-based yoga activities. The authors used a single-sample, pre-post design. At two points in time (baseline and postintervention), participants completed a set of online measures assessing burnout, depression, anxiety, stress, resilience, and compassion. The authors used linear mixed model analysis to assess changes in outcome measures. RESULTS: Participants had improvements after the 8-week intervention. At postintervention, they had significantly better scores on personal accomplishment, depression, anxiety, stress, perceived resilience, and compassion. Participants had a positive perception of the yoga intervention. CONCLUSION: Group mindfulness-based yoga program may be convenient and low-cost approach to support health and wellbeing among health care professionals.