Energy Transfer and Sunoco donate $2.2 million to support pediatric cancer research at UT MD Anderson
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Updates every hour. Last Updated: 21-Oct-2026 07:16 ET (21-Oct-2026 11:16 GMT/UTC)
Scientists at Silent Spring Institute have identified 485 chemicals used in pesticide products that could increase breast cancer risk. The list includes active ingredients as well as hundreds of so-called “inert” or inactive ingredients, which typically evade safety testing. The findings could inform policies to strengthen how pesticides are regulated in the U.S. and ensure that pesticide formulations are properly evaluated for their potential to cause breast cancer.
A retrospective study of 388 patients with immune checkpoint inhibitor (ICI)-related diarrhea finds that low fecal elastase levels often accompany intestinal inflammation yet were associated with similar diarrheal outcomes compared with normal levels. The results suggest low elastase likely reflects stool dilution rather than true pancreatic insufficiency, supporting fecal fat testing before initiating pancreatic enzyme replacement therapy.
Targeting how cancer cells adapt and survive in nutrient-deprived environments could slow tumour growth and make existing treatments more effective, according to new University of Sheffield research.
A systematic review and meta-analysis of 13 randomized controlled trials involving 969 patients found that virtual reality (VR) was associated with short-term reductions in cancer-related pain and anxiety. Effects appeared more consistent in procedural settings and pediatric populations. However, because the evidence was low certainty and study methods varied substantially, further high-quality trials are needed before routine implementation.
- Professor Kwang-Hyun Cho's team in the Department of Bio and Brain Engineering develops NUDGE, a general-purpose foundational technology that harnesses cells' own regulatory dynamics
- A single temporary intervention, without permanently altering genes, can switch cells between diverse states in computational models while preserving their native adaptability
- Expected to enable new control strategies spanning stem cell differentiation, aging, autoimmune disease, regenerative medicine, and cancer reversion therapy