This research focuses on the development of advanced Tumor-on-Chip platforms that integrate microfluidic technology with both two-dimensional (2D) and three-dimensional (3D) cancer models to more accurately recapitulate the native tumor microenvironment. These systems enable precise control over fluid dynamics, nutrient and oxygen gradients, and cell–cell as well as cell–matrix interactions, thereby providing a more physiologically relevant alternative to conventional in vitro models.

Tumor-on-Chip approach represents a powerful and predictive tool for studying cancer biology and enhancing the preclinical evaluation of anticancer therapies, with strong potential for improving translational research and personalized medicine.

1. Drug testing

By employing both mono- and co-culture configurations, the Tumor-on-Chip platforms capture key aspects of tumor complexity, including cellular heterogeneity and microenvironment-driven responses. These models in our group have been widely applied to evaluate the efficacy of photodynamic therapy (PDT), incorporating advanced photosensitizers such as nanoencapsulated compounds and graphene-based nanocarrier systems. In addition, the platforms have been used to investigate the effects of conventional cytotoxic drugs, as well as combination therapies, enabling a more comprehensive assessment of treatment strategies.

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