A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an artificial intelligence (AI)–based noninvasive tool that can predict the likelihood that a patient’s oropharyngeal cancer—a type of head and neck cancer that develops in the throat—will spread, thereby signaling which patients should receive aggressive treatment. The research is published in Journal of Clinical Oncology.

A study led by researchers at Moffitt Cancer Center found that normal cells surrounding a tumor, known as cancer-associated fibroblasts, can help lung cancer cells survive targeted drug therapy by activating multiple survival routes that allow tumors to evade treatment. Results of the study, published in Science Signaling, provide valuable insights into why some cancers are resistant to currently approved therapies. 

Even occasional cannabis use is linked to worse school performance and emotional distress for teens, finds a new study led by Columbia University.