cfDNA fragmentation patterns correlate with tumor burden measured via PSMA PET/CT volumetric parameters in patients with biochemical recurrence of prostate cancer.

Background: Prostate cancer recurrence following primary treatment poses a significant clinical challenge, particularly when detected through biochemical recurrence at low PSA levels. Conventional imaging modalities often fail to localize the disease at this early stage. PSMA PET has demonstrated superior sensitivity in detecting recurrent lesions, even in patients with low PSA.

A comparative study of Cu-based nanoparticles and their spin-coated films: photocatalytic degradation mechanisms and efficiencies towards malachite green and neutral red azo dyes.

In this work, a comparison of the photocatalytic activity of free-standing Cu-based nanoparticle mixtures and spin-coated nanoparticle films under visible-light radiation is conducted. Herein, CuO, CuO-Cu, CuO-CuN-Cu, and CuN-Cu nanoparticle mixtures were successfully synthesized by a non-aqueous sol-gel route and then deposited on a glass substrate by spin-coating. The surface chemistry of the nanoparticles studied by X-ray photoelectron spectroscopy (XPS) allowed elucidating the nanoparticle synthesis mechanism.

Role of Liquid Biopsy in Progressive PSA Patients after Radical Prostatectomy.

Currently, the prediction of disease recurrence after radical prostatectomy (RP) in localized prostate cancer (PCa) relies on clinicopathological parameters, which lack accuracy in predicting clinical outcomes. This study focused on evaluating the utility of cfDNA levels and fragmentation patterns as prognostic biomarkers in progressive prostate-specific antigen (PSA) patients, including those with persistent PSA and biochemical recurrence (BR), after primary treatment in localized PCa patients. Twenty-nine high-risk localized PCa patients were enrolled in the study between February 2022 and May 2023.

Mindfulness, teacher mental health, and well-being in early education: a correlational study.

This study analyzed the relationship between mindfulness and variables considered relevant for teacher-student interactions: teacher burnout, general stress, anxiety, depression, and quality of life. We hypothesized that mindfulness would relate negatively with mental health variables and positively with quality of life. We also explored which specific aspects of mindfulness would predict burnout, depression, anxiety, stress, and quality of life.