Prostate cancer detection through unbiased capture of methylated cell-free DNA.

Prostate cancer screening using prostate-specific antigen (PSA) has been shown to reduce mortality but with substantial overdiagnosis, leading to unnecessary biopsies. The identification of a highly specific biomarker using liquid biopsies, represents an unmet need in the diagnostic pathway for prostate cancer. In this study, we employed a method that enriches for methylated cell-free DNA fragments coupled with a machine learning algorithm which enabled the detection of metastatic and localized cancers with AUCs of 0.

Hypersynchrony in sarcomeric hypertrophic cardiomyopathy: description and mechanistic approach using multimodal electro-mechanical non-invasive cartography (HSYNC study).

Background: Little is known about left ventricular (LV) sequences of contraction and electrical activation in hypertrophic cardiomyopathy (HCM). A better understanding of the underlying relation between mechanical and electrical activation may allow the identification of predictive response criteria to right ventricular DDD pacing in obstructive patients.

Objective: To describe LV mechanical and electrical activation sequences in HCM patients compared to controls.

Antithrombotic Management and Outcomes of Anterior ST-Elevation Myocardial Infarction With New-Onset Wall Motion Abnormalities in Men and Women.

Background: In patients with anterior ST-elevation myocardial infarction (STEMI) and new-onset antero-apical wall motion abnormalities (WMAs), whether the rate of prophylaxis against left ventricular thrombus and outcomes differ between men and women is unknown.

Methods: A multicentre retrospective cohort study of patients with STEMI and new-onset antero-apical WMAs treated with primary percutaneous coronary intervention was conducted. Patients with an established indication of oral anticoagulation (OAC) were excluded.

Genomic evolution shapes prostate cancer disease type.

The development of cancer is an evolutionary process involving the sequential acquisition of genetic alterations that disrupt normal biological processes, enabling tumor cells to rapidly proliferate and eventually invade and metastasize to other tissues. We investigated the genomic evolution of prostate cancer through the application of three separate classification methods, each designed to investigate a different aspect of tumor evolution. Integrating the results revealed the existence of two distinct types of prostate cancer that arise from divergent evolutionary trajectories, designated as the Canonical and Alternative evolutionary disease types.