In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk. The model, called scSurvival, uses a machine learning framework designed to analyze large-scale data at single-cell resolution.

Researchers at Brown University Health and Brown University have identified a molecule, miR-181d, that may explain why some glioblastoma patients, known as 'exceptional responders' live significantly longer than expected. The study found that miR-181d both weakens tumors by blocking their ability to repair DNA and helps activate the immune system to fight cancer. This dual effect could lead to new therapies aimed at improving survival for all glioblastoma patients, with plans underway to test the approach in future clinical trials.

 A new study funded by the National Cancer Institute at the National Institutes of Health finds that how high school students perceive the costs of sun protection and the rewards of tanning play a significant role in whether they practice sun-safe behaviors. The work will help inform more effective skin cancer prevention efforts during adolescence.