Cancer

Researchers use machine learning to identify generic drugs that are promising candidates for affordable and accessible cancer treatments.

Christine Brown develops CAR T cell therapies that may one day provide a long-sought-after cure for malignant brain cancers.

New technology turns red blood cells into artificial antigen-presenting cells. These cells activate T cells to attack HPV-driven cancers.

Targeting oncogenic transcription factors like MYC is challenging, but researchers found a way to target its regulator, WDR5, for degradation, exemplifying the capacity of protein degraders to target the “undruggable.”

Classical model systems such as cell culture and mice are key to understanding cancer. But what can we learn by examining how cancer works in other models? Animals like naked mole rats and Tasmanian devils offer a new perspective on how cancer works and how we can treat it.

Fetuses transfer some of their cells to their mother in a phenomenon called microchimerism

A new molecule in Phase 1 clinical trials kills leukemia cells by blocking their ability to repair DNA.

Epidemiologists may have found the perfect method to delineate if long-term use of antihypertensive medications increases cancer risk.

Using a mouse model of breast cancer brain metastasis, researchers showed that tumor cells require fatty acid synthesis to grow, which offers a potential therapeutic target.