CS18: a new drug that can potentially overcome cancer drug resistance
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 14:16 ET (29-Oct-2026 18:16 GMT/UTC)
Researchers at Baylor College of Medicine have developed a drug called CS18 that disrupts the ability of cancer cells to survive therapy. The findings support exploring the possibility of using CS18 to treat human cancer in the future.
Inspired by naturally-occurring mats and balls of seaweed, researchers have created highly-porous, superadhesive meshes that are capable of capturing both large and small microplastic particles – a longstanding challenge in the field. The mesh can clean microplastics from both saltwater and freshwater and is made from sustainable and widely available biopolymers.
The cerebral cortex is densely packed with different nerve cells that enable us to perceive, think and act. Yet how these cell types arise while the brain develops is still not fully understood. Irene Varela-Martínez, a postdoctoral researcher at the Institute of Science and Technology Austria (ISTA), traces their origins like a family-tree detective of nerve cells. Her new study, now published in Science Advances, shows that precursor cells of neurons, contrary to previous assumptions, split early into two independent lineages and thereby give rise to types of neurons.
Quantum networks, communication networks that rely on the quantum properties of photons, could supercharge scientific research, quantum computing and secure communications. First, however, scientists must find ways to protect fragile “entangled” quantum states of photons as they zip through optical fibers. By sending entangled photons through 62 kilometers of commercial fiber between the NIST (National Institute of Standards and Technology) campus in Gaithersburg and the University of Maryland in College Park, NIST researchers and their collaborators have demonstrated that fragile quantum entanglement can survive even in tough, real-world conditions. [link to press release]
The scientists reported this advance in the Journal of Optical Communications and Networking.
DepMap scientists have generated dependency data on nearly 150 three-dimensional cancer cell models across 10 cancer types.
The updated catalog reveals cancer phenotypes, cell states, and gene dependencies that are missed in traditional cell lines and shows that both model types are complementary because each captures biology that the other misses.
The integration of data on 2D and 3D models creates a more comprehensive DepMap, moving the resource towards its goal of capturing the complete landscape of cancer vulnerabilities.