Combination treatment benefits patients with advanced breast cancer that has spread to brain
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Updates every hour. Last Updated: 22-Jun-2026 04:16 ET (22-Jun-2026 08:16 GMT/UTC)
Researchers from City University of Hong Kong, the Chinese Academy of Sciences, and the Massachusetts Institute of Technology have developed an artificial intelligence-driven workflow called AAPSI (AI-Accelerated PhotoSensitizer Innovation) that integrates expert knowledge, scaffold-based molecule generation, and Bayesian optimization to accelerate the discovery of novel photosensitizers for photodynamic therapy (PDT). Through this workflow, the team generated 6,148 candidate molecules and experimentally validated a hypocrellin-based compound, HB4Ph, which achieves a singlet oxygen quantum yield (ϕΔ) of 0.85 and absorption maxima (λmax) of 645 nm — outperforming all clinical and trial-stage photosensitizers. The work is published in AI for Science .
Northwestern Medicine scientists have discovered that specialized immune cells within the glioblastoma tumor metabolize fructose to suppress immune responses and promote tumor growth, reports a study published on March 17 in the Proceedings of the National Academy of Sciences.
The study, the first to identify this sugar pathway as a driver of immune suppression in brain tumors, suggests that blocking fructose metabolism in the specialized cells may improve immunotherapy response and patient outcomes.
Every year, millions of people are diagnosed with cancer globally; however, current treatments are limited by disease complexity. A study published March 17th in the open-access journal in PLOS Biology by Tianyu Jiang at Shandong University, Qingdao, China and colleagues suggests that Escherichia coli Nissle 1917 (EcN) may be engineered with anticancer agents to treat cancerous tumors in mice.
Chimeric antigen receptor-invariant natural killer T cells, or CAR-iNKT cells, have shown promise in early studies, particularly against solid tumors that traditional CAR-T therapy struggles to treat. However, these cells often lose potency after delivery to a patient’s body. The UCLA team developed a system that functions like a charging station for these immune cells. Once implanted near a tumor, it attracts CAR-iNKT cells that have been engineered to recognize cancer. In the preclinical study, the platform demonstrated promising biocompatibility. The team is continuing to refine the system and explore how it could support additional cancer immunotherapies.
Scientists at HSE University have identified a molecular mechanism underlying aggressive breast cancer. They found that the signals supporting tumour growth originate not from the tumour itself but from its microenvironment. The researchers also demonstrated that reduced levels of the IGFBP6 protein in the tumour microenvironment lead to the accumulation of macrophages—immune cells associated with a higher risk of cancer recurrence. These findings already make it possible to assess patient risk more accurately and may, in the future, enable the development of drugs that target cells of the tumour microenvironment. The study has been published in Current Drug Therapy.
An MSU-led team found promising therapeutics for two diseases that currently lack effective treatment, demonstrating how gene-focused machine learning can accelerate drug discovery. Published in Cell, the research has broad implications for a new approach to discovering novel drugs for other diseases. The team has released the code and launched a web-based portal allowing other researchers to explore the capabilities of this approach.