Integrating genetic origin data with tumour analyses enables better prediction of survival
Reports and Proceedings
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: 16-Jun-2026 09:15 ET (16-Jun-2026 13:15 GMT/UTC)
A cancer patient’s genetic ancestry can have a significant effect on how their disease progresses and on their survival. New research shows dozens of mutations that are significantly more or less common depending on the patient’s ancestry, about half of which can be targeted by existing treatments. A scoring system was able to predict patient survival, particularly so in breast cancer and glioma. When ancestry information was added, the survival prediction became even more accurate, particularly in cancer of the pancreas.
A carefully designed metal-free carbon monoxide prodrug may help prevent some of the deadliest forms of cancer from spreading, according to researchers at Weill Cornell Medicine. The recent preclinical study, published in Advanced Science, offers a new strategy to potentially reduce the recurrence of pancreatic and triple-negative breast cancer in patients who initially respond to treatment.
Nanjing University researchers report a breakthrough siRNA delivery strategy that transforms the liver into a "biopharmaceutical factory" for targeted cancer therapy. The team developed an In Vivo Self-Assembled (IVSA) system that uses intravenously injected plasmid DNA to program hepatocytes to produce and package EGFR-targeting siRNA into GE11-tagged small extracellular vesicles. These "biomissiles" selectively deliver therapeutic siRNA to EGFR-positive tumors, overcoming the long-standing siRNA delivery challenge without complex in vitro encapsulation. The system demonstrated potent efficacy across EGFR-mutant lung cancer, gastric cancer, and breast cancer models, outperforming traditional targeted drugs while showing minimal off-target toxicity. This plug-and-play platform represents a paradigm shift from conventional drug manufacturing to in vivo biopharmaceutical production, offering a modular, cost-effective approach for personalized cancer gene therapy.