News

The UCSF Helen Diller Family Comprehensive Cancer Center recently honored three staff members whose service, leadership, and collaboration have made a lasting impact on the Cancer Center community. The honorees were selected through a formal nomination process and recognized during the HDFCCC Annual

Open up your favorite podcast app or tune into TikTok these days, and you’ll find an endless stream of influencers, health coaches, and so-called experts offering advice for how to prevent and fight cancer. But who to trust? UC San Francisco scientists have uncovered important scientific links

Cancer drugs can shrink fast-growing tumors. But sometimes a few tumor cells survive. These “persister” cells seed new tumors, forcing cancer patients into arduous cycles of testing and treatment. The problem is, persister cells are rare — as few as one in a thousand tumor cells — and they’re

In June 2025, Eric Small, a longtime clinical researcher and UCSF oncologist assumed the presidency of the American Society of Oncology (ASCO), the major professional organization for oncologists, with more than 50,000 members. Last month, Small presided at the ASCO annual meeting, where he gave a

The job of a tumor suppressor protein is right in the name: stopping us from getting cancer at the cellular level. But when they’re not working properly, the cell is left with limited defenses. In a new paper published today in the journal Nature titled “Targeting Cancer-Specific Mutations with RNA

A new UC San Francisco study reveals how Philip Morris Companies Inc. used cigarette research, flavor engineering, and behavioral science to turn Lunchables into one of America’s most successful ultra-processed foods for children. When Phillip Morris acquired General Foods in 1985, it inherited

Women with abnormal mammograms often have to wait for weeks to find out whether they have breast cancer. Now, researchers at UC San Francisco and UC Berkeley have found a way to help reduce the wait and the worry by using artificial intelligence (AI) to quickly identify those who are most likely to