Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Research on the factors affecting the successful implementation of Lean production model in industrial production enterprises in Vietnam [PDF]
Hoang Thi Huong, Nguyen Thi Mai Anh
openalex +1 more source
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
O.3.1-8 The western research hub for physical activity and health: answering the World Health Organization’s call to implement the global action plan on physical activity [PDF]
Jane S Thornton, Reilly Kristen
openalex +1 more source
The role of chief risk officer in adoption and implementation of enterprise risk management-A literature review [PDF]
Recently many companies view risk management from a holistic approach instead of a silo- based perspective. This holistic approach is called Enterprise Risk Management (ERM).
Abdul Rasid, Siti Zaleha +3 more
core
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source
Background Early prediction of Alzheimer’s disease is important for timely intervention and treatment. We examine whether machine learning on longitudinal electronic health record notes can improve early prediction of Alzheimer’s disease.
Rumeng Li +10 more
doaj +1 more source
Stakeholder Engagement in Late-Stage Translation Research and Implementation Science: Perspectives From the National Heart, Lung, and Blood Institute [PDF]
George A. Mensah +3 more
openalex +1 more source
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad +35 more
wiley +1 more source

