Tumor‐on‐a‐chip model incorporating human‐based hydrogels for easy assessment of metastatic tumor inter‐heterogeneity

• Main Author: Monteiro, Cátia F.
• Publication Date: 2024
• Other Authors: Deus, Inês A., Silva, Inês B., Duarte, Iola F., Custódio, Catarina A., Mano, João F.
• Format: Article
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10773/42006
• topic: Human protein-derived hydrogels; Metastasis; Microfluidics; Osteosarcoma; Platelet lysate; Tumor heterogeneity; Tumor-on-a-chip

The coordinated migration of invasive tumor cells is a complex and dynamic mechanism driven by diverse cellular and molecular events. Unfortunately, the inherent heterogeneity within tumors raises multiple challenges in deciphering key biomarkers and novel therapeutic approaches to prevent tumor metastasis. Here, a microengineered tumor-on-a-chip system incorporating human platelet lysate hydrogels is proposed to recreate the early metastatic process of tumor invasion and drug response. By co-culturing human bone marrow mesenchymal stem cells with two tumor cell lines with distinct metastatic capability, the developed model can emulate the 3D tumor microarchitecture and inter-heterogeneity regarding its intrinsic metastatic ability. The recreated microenvironment supports tumor and stromal cell movement, evidencing the synergistic tumor-stromal cell and cell-extracellular matrix interactions of an invading tumor. Through gene and protein expression analysis and exometabolomic profiling, this tumor-on-a-chip platform provides evidence for the role of a dynamic environment as a key regulator of tumor metastatic ability. Additionally, the effect of doxorubicin treatment on tumor invasiveness and biomarker profile highlights the suitability of the established models for therapy assessment. Overall, this study presents a tumor-on-a-chip model useful to pursue mechanistic studies on early metastatic events in a fully human-derived microenvironment, while contributing with fundamental insights into biomolecular profiling.