Lung cancer is the leading cause of cancer-related deaths in Quebec and Canada, killing more individuals than prostate, colon and breast cancers combined. Thanks to tissue samples from almost 500 lung cancer patients, a group of researchers from McGill University and Université Laval were able to identify those who were likely to have a cancer recurrence and require further treatment post-surgery. In the new study, the researchers fed data gathered by using multiplex imaging to an artificial intelligence tool. The researchers were able not only to identify which patients needed treatment, but also those who would not need additional therapy, which can cause unnecessary side effects. This project will open new avenues for the development of predictive clinical tools to improve the management and survival of cancer patients, the researchers say.
