Terasaki Institute researchers and key pioneers publish comprehensive review on glioma organoid models, proposing new classification framework for brain cancer research
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Jun-2026 23:15 ET (21-Jun-2026 03:15 GMT/UTC)
Prostate-targeted, engineered nanoparticles made of amorphous silica are effective in killing prostate tumors directly while enhancing anti-tumor immunity, according to a preclinical study led by investigators at Weill Cornell Medicine and the Cornell Duffield College of Engineering. The particles, derived from silicon dioxide, a common component of healthy foods or fossilized sedimentary structures from single-celled organisms, induced several complete remissions of aggressive tumors in mouse models, supporting the further investigation of their use in clinical trials.
New research in JNCCN—Journal of the National Comprehensive Cancer Network finds that small, targeted prompts delivered to cancer patients and providers at the right moment can significantly increase the number of serious illness conversations that take place.
Jennifer Guida, Ph.D., a former program director and researcher for the National Cancer Institute (NCI) at the National Institutes of Health (NIH), is the newly appointed director of HonorHealth Research Institute’s new Division of Institutional Research.
Some cancer cells evade medicines by switching to a sleep-like state with the help of stress hormone receptors. Researchers have developed a method that allows them to degrade these receptors and therefore bypass the cells’ protective mechanism. To this end, they built a switch that can be turned on and off with light in the vicinity of the tumour and that tags the receptors for disposal. This system is effective against lung cancer in the lab and could also have future applications in breast and prostate cancer.
A cancer patient’s genetic ancestry can have a significant effect on how their disease progresses and on their survival. New research shows dozens of mutations that are significantly more or less common depending on the patient’s ancestry, about half of which can be targeted by existing treatments. A scoring system was able to predict patient survival, particularly so in breast cancer and glioma. When ancestry information was added, the survival prediction became even more accurate, particularly in cancer of the pancreas.