Metastasis, , the spread of primary tumor cells to distant organs, accounts for over 90% of cancer-related deaths and remains a significant clinical challenge due to limited treatment options. Metastatic cells adapt to hostile environments through changes in cell states and dynamic behaviors, such as alterations in cell shape, migration, and proliferation. This adaptation ability, also termed cellular plasticity, is a hallmark of metastasis and has been suggested to play a role in therapy resistance and cancer aggressiveness. However, it is poorly defined, and current clinical methods cannot analyze plasticity at the single-cell level or provide functional insights into adaptive behaviors.
The PLAST_CELL project aims to bridge this gap by creating a cutting-edge platform that integrates biomimetic 3D microenvironments, high-resolution live-cell imaging, and computational analysis. This platform enables real-time, single-cell assessment of cancer cell adaptations, quantitatively measuring tumor plasticity and aggressiveness. The ultimate objective is to develop PLAST_SCORE, a scoring model to predict tumor behavior and enhance clinical decision-making.
The technology and insights from PLAST_CELL will address long-standing challenges in biomedicine, offering a transformative leap for evaluating cancer cells and patient samples. Outputs will also support the development of advanced imaging, microfluidics, and bioinformatics tools applicable to normal and pathological processes.