A deep learning pathomics platform may help predict response to immunotherapy in lung cancer patients
Reports and Proceedings
Updates every hour. Last Updated: 22-Jun-2026 00:15 ET (22-Jun-2026 04:15 GMT/UTC)
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC), according to a study presented at the American Association for Cancer Research (AACR) Annual Meeting 2026, held April 17-22.
Stuart Orkin, MD, Investigator at Dana-Farber/Boston Children's Cancer and Blood Disorders Center, David G. Nathan Distinguished Professor, Harvard Medical School and Investigator, Howard Hughes Medical Institute, has been honored with The Breakthrough Prize for his pioneering work discovering the genetic and molecular mechanisms underlying the switch from fetal to adult hemoglobin and validating it as a therapeutic target for sickle-cell disease and beta-thalassemia. Dr. Orkin shares the prize Swee Lay Thein.
Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with PI3K-targeted therapies.
Chemokines, acting as "traffic controllers" in the tumor microenvironment, regulate immune cell infiltration and local immunity. This review summarizes the chemokine expression profiles in tumors, their diverse roles in pro- and anti-tumor immunity, current targeting strategies (inhibition, delivery, engineering), and synergistic potential ability with other immunotherapies. Despite challenges, targeting the chemokine receptor axis holds great promise for reprogramming the tumor microenvironment and advancing precision cancer therapy.
“In other words, a very high number of women are being unnecessarily treated,” explains CNIO researcher Eva González-Suárez. “But at the moment there’s no way to avoid it”.
Her new study, published in Nature Communications, identifies a marker that discriminates precancerous breast lesions that will develop into tumours
The study also reveals that breast cancers originate in certain cells that the authors refer to as ‘infidel’