New PET tracer enables same-day imaging of triple-negative breast and urothelial cancers
Peer-Reviewed Publication
This month, we're turning our attention to Breast Cancer Awareness Month, a time dedicated to increasing awareness, supporting early detection, and highlighting the ongoing research shaping the future of breast cancer treatment and prevention.
Updates every hour. Last Updated: 28-Oct-2025 13:11 ET (28-Oct-2025 17:11 GMT/UTC)
Hot flashes which are sudden, temporary intense sensations of body warmth, often accompanied by flushing and sweating during the day and night (night sweats) are referred to as vasomotor symptoms (VMS). These VMS are associated with sleep disturbances, cognitive dysfunction, severe fatigue, increased pain severity and decreased quality of life. Hot flashes affect up to 80% of women going through the menopause transition, 80% of men with prostate cancer undergoing or after completion of androgen deprivation therapy and 50-80% of breast cancer patients receiving hormone deprivation therapy.
The consequences of VMS experienced by perimenopausal and postmenopausal women, aging men and breast and prostate cancer patients cannot be overstated. These overwhelming devastating symptoms not only have a significant impact on the quality-of-life, affect decision-making for life preserving hormone deprivation therapy for breast cancer and prostate cancer patients but also have significant economic and societal consequences.
A new study from Boston University Chobanian & Avedisian School of Medicine has shown that a wristband cooling device significantly reduced severe hot flash episodes among breast cancer, prostate cancer and postmenopausal women.
Breast cancer remains the most common cancer and the leading cause of cancer-related death among women worldwide, with incidence rates continuing to rise. However, known risk factors, including genetics and lifestyle, do not fully explain the upward trend. Researchers are increasingly turning to metabolomics—the large-scale study of small molecules in biological systems—as a promising avenue for identifying new risk factors and improving prediction methods for breast cancer.
A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information in mammograms and pinpoints with high accuracy the individual risk of metastasis in the armpit. A newly completed study shows that the model indicates that just over 40 per cent of today’s axillary surgery procedures could be avoided.