Updated guidelines standardize how tumor response is measured after surgery
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Jun-2026 21:16 ET (24-Jun-2026 01:16 GMT/UTC)
A study of U.S. veterans led by investigators at Mass General Brigham, VA Boston Healthcare System, and the Melanoma Research Alliance has identified a possible link between exposure to the Agent Orange herbicide and a rare melanoma subtype less likely to be related to sun exposure. The authors of the study, published in JAMA Dermatology, say this link warrants further examination to inform diagnostic strategies for people who may be at a greater risk for acral melanoma.
Gene regulation is far more predictable than previously believed, scientists conclude after developing deep learning model PARM. This might bring an end to a scientific mystery: how genes know when to switch on or off. Today, scientists publish in Nature about their relentless back-and-forth between lab experiments and computation that enabled them to build this lightweight model. Scientists around the world can now start using this tool for reading these genetic instructions, creating leads for new cancer diagnostics, patient stratification, and future therapies.
The University of Texas MD Anderson Cancer Center is pleased to announce the national launch of an innovative new science exhibition, showcasing the groundbreaking research, technologies and promising new therapies bringing progress in the mission to end cancer. “The Journey to End Cancer: From Cause to Cure,” presented by MD Anderson, will begin its national tour on March 7 at The Health Museum in Houston, followed by stops at multiple museums across the U.S. over five years.
Breast cancer (BC) is the most common cancer and the second leading cause of cancer death in women. It is a highly variable disease, defined as a malignancy of the epithelial ducts in breast tissue. Characterizing the vast heterogeneity within BC cells and their surrounding tumor microenvironment is crucial because this diversity is the primary reason for treatment resistance, disease progression and poor patient prognosis.
In a new study from Boston University Chobanian & Avedisian School of Medicine, researchers assembled a comprehensive single-cell atlas of the human breast, combining data from 138 patients and more than 600,000 single cells. They then were able to identify cell populations and cell states that previously were unclear or missed and linked these cell types to tumor features (like subtype and grade) and patient outcomes.