Characterization of human melanoma skin cancer models: A step towards model-based melanoma research

Advancing 3D in vitro human tissue models is crucial for biomedical research and drug development to address the ethical and biological limitations of animal testing. Recently, 3D skin models have proven to be effective for studying serious skin conditions, such as melanoma. For these advanced models to be applicable in preclinical studies, thorough characterization is essential to understand their applicability and limitations. In this study, we used bioimaging and RNA sequencing to assess the architecture and transcriptomic profiles of skin models, including models with melanoma. Our results indicated that these models closely mimicked skin morphology and gene expression patterns. The full-thickness (FT) model shows a superior resemblance to the human skin, particularly in basement membrane formation and cellular interactions. The integrity of the skin-like properties and gene expression signatures of both skin and melanoma cells were preserved upon the integration of melanoma cells, establishing these models as robust platforms for cancer research. The responsiveness of the FT melanoma models to vemurafenib treatment was successfully monitored, demonstrating their validity as a reliable, reproducible, and humane tool for pharmacological testing and drug development. Furthermore, the transcriptomic data showed that skin models with cancer spheroids had upregulated genes linked to aggressive and resilient cancer behavior compared to spheroids alone. This emphasizes the importance of the microenvironment in cancer progression and suggests that 3D skin models can serve to uncover mechanisms and therapeutic targets that are not detectable in simpler systems. This study introduces advanced, ethically sound skin and melanoma models as alternatives to animal testing in drug discovery. By thoroughly characterizing these models using bioimaging and RNA sequencing, we demonstrate their close resemblance to human skin, particularly in full-thickness models. These models not only replicate the complex cellular interactions and gene expression patterns of human tissue but also maintain robustness after melanoma integration. Our findings highlight the potential of these models in revealing cancer mechanisms and therapeutic targets, offering a significant impact on melanoma research and preclinical testing. [Display omitted]