New artificial intelligence tool may help personalize ovarian cancer treatment from day one
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jun-2026 08:16 ET (22-Jun-2026 12:16 GMT/UTC)
Cancer cells often invade different tissues by forming rounded protrusions called blebs. However, the exact mechanism behind this expansion remained unclear. Now, researchers at Kyushu University have discovered that cancer cells use protein clusters to create water pressure inside blebs, which pushes the cell membrane outward, enabling rapid movement. This newly identified mechanism, named “CaMKII-based osmotically-driven deformation or CODE,” reveals a unique physical process that drives the spread of cancer cells inside the body.
In cellular and animal models of neuroblastoma, small cell lung cancer and colon cancer, this strategy reduces tumours, prolongs survival and triggers a tumour-fighting immune response.
The study, published in Molecular Cancer, provides proof of concept for potential future therapies.
A new study in mice hints at the potential to use tiny particles made with RNA molecules to deliver chemotherapy drugs and other therapies directly to tumors, killing cancer cells without generating an immune response or toxicity-related side effects.
Researchers at Baylor College of Medicine have uncovered a strategy that triple negative breast cancer (TNBC) cells use to boost their ability to metastasize, or spread to other organs. Metastasis is the leading cause of cancer-related deaths and scientists are investigating ways to prevent it. These findings highlight new possibilities for developing clinical interventions to treat metastatic TNBC patients for whom there are no specific therapies.
A study coordinated by the Institut de Neurociències of the Universitat Autònoma de Barcelona proposes a new treatment for glioblastoma, the most aggressive brain tumor. The approach involves patches tested in cell cultures and in excised pig brains that induce a high level of cellular oxidation in a local and controlled manner, thereby minimizing potential systemic side effects.
Three-dimensional cancer organoids and spheroids are powerful models for studying tumor biology, but current imaging methods limit their full potential. In this study, researchers introduce an AI-enhanced optical coherence photoacoustic microscopy (OC-PAM) system that enables high-resolution, label-free, and longitudinal imaging of 3D cancer models. The technology promises more physiologically relevant cancer research and accelerated translation of advanced in vitro models into drug discovery and precision oncology.
Cancer research is undergoing a profound transformation. Advances in molecular and cellular biology, genomics, immunology, engineering, and computational science have reshaped our understanding of cancer as a complex, multiscale disease. Yet the gap between biological discovery and durable clinical benefit remains a central challenge. Addressing this gap increasingly requires integration across disciplines, technologies, and conceptual frameworks. Advanced Cancer Research is an international, peer-reviewed, open-access journal publishing original cancer research spanning basic, translational, and clinical investigation. The journal prioritizes studies that provide mechanistic depth, introduce conceptual or technological innovation, or offer system-level insight into cancer biology and therapy, with particular emphasis on work that bridges disciplinary boundaries and advances translational relevance.