Pancreatic cancer forms "synapses": tumors use neurotransmitters to drive their own growth
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Nov-2025 08:11 ET (13-Nov-2025 13:11 GMT/UTC)
Pancreatic cancer is one of the deadliest types of tumors. A team at the Technical University of Munich (TUM) has discovered that pancreatic tumors exploit the body’s nervous system by forming so-called pseudosynapses. Through a specific receptor, the cancer cells take up the neurotransmitter glutamate, which drives tumor growth. The researchers now hope to identify drugs that can block this process in patients.
Transposable elements play a significant role in regulating gene expression and genome architecture, influencing development, immunity, aging, and disease progression. A study from researchers in China reviews these elements' molecular mechanisms and clinical implications, highlighting their potential as biomarkers and therapeutic targets for conditions like cancer, neurodegenerative, and autoimmune diseases. This research opens pathways for personalized medicine by targeting disease-specific transposable element signatures.
Researchers have developed an eco-friendly method to create gold nanoparticles (AuNPs) using microalgae. This "green synthesis" avoids harsh chemicals, resulting in nanoparticles that are more stable than conventional ones. When activated by a laser, these AuNPs effectively destroy cancer cells while showing lower toxicity to healthy cells. This breakthrough promises a more sustainable and safer approach to photothermal cancer therapy and other applications in nanomedicine.
Research findings from Sylvester Comprehensive Cancer Center and the University of Miami Miller School of Medicine will be presented at ASH 2025, the 67th-annual meeting and exposition of the American Society of Hematology in Orlando, Florida, Dec. 6-9.
OKLAHOMA CITY – The U.S. Food and Drug Administration has granted Fast Track Designation to a new drug combination for metastatic colorectal cancer, following encouraging results from a clinical trial led in part by the University of Oklahoma Health Stephenson Cancer Center. The treatment offers potential hope for patients whose tumors lack a key DNA repair protein called ATM.
UC San Diego researchers developed a machine learning model that accurately predicts skin cancer risk across ancestries, improving equity in early detection and outcomes using genetics, lifestyle, and social factors.