Laboratory experiments with cancer cells reveal two ways in which tumors evade chemotherapy drugs designed to starve and kill them, a new study in Nature Metabolism shows.
The National Comprehensive Cancer Network updated its chronic myeloid leukemia treatment guidelines, recommending Scemblix (asciminib) for the treatment of adults with newly diagnosed Ph+ CML-CP as a category 1-preferred.
Lung cancer is the leading cause of the cancer deaths in the U.S., but the American Lung Association’s 2024 “State of Lung Cancer” report reveals positive news.
Merck announced positive topline results from the pivotal phase III MK-3475A-D77 trial.
Exact Sciences Corp. presented three abstracts highlighting advancements in the development of a multi-cancer early detection test at the American Association for Cancer Research Special Conference in Cancer Research: Liquid Biopsy from Nov. 13-16, in San Diego, CA.
Researchers at City of Hope found that taking white button mushroom pills reduces a class of immune cells called myeloid-derived suppressor cells, which has been linked to cancer development and spread.
In a phase II clinical trial, a research team led by Nilofer Azad, professor of oncology and co-leader of the Kimmel Cancer Center’s Cancer Genetics and Epigenetics Program, and Marina Baretti, the Jiasheng Chair in Hepato-Biliary Cancer at the Kimmel Cancer Center, tested the safety and efficacy of the combination of two drugs: an immunotherapy, nivolumab, and an epigenetic drug, entinostat—a histone deacetylase inhibitor.
Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a new study shows.
A research team at UVA Health is testing the ability of focused ultrasound to increase the immune response to immunotherapy in melanoma. UVA’s work with focused ultrasound already has led to life-changing new treatments for Parkinson’s disease and essential tremor and pushed the technology to the forefront of medical research.
A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence method to make launching cancer clinical trials easier and faster. The method uses patients’ pathology reports to automate the classification of patients by the severity of their cancers, potentially shortening the process of selecting candidates for clinical trials.
