New biocompatible materials have enabled the direct 3D printing of complex functional living tissues, such as skeletal and cardiac muscle. Gelatinmethacryloyl (GelMA) is a photopolymerizable hydrogel composed of natural gelatin functionalized with methacrylic anhydride. However, it is difficult to obtain a single hydrogel that meets all the desirable properties for tissue engineering. In particular, GelMA hydrogels lack versatility in their mechanical properties and lasting 3D structures. In this work, a library of composite biomaterials to obtain versatile, lasting, and mechanically tunable scaffolds are presented. Two polysaccharides, alginate and carboxymethyl cellulose chemically functionalized with methacrylic anhydride, and a synthetic material, such as poly(ethylene glycol) diacrylate are combined with GelMA to obtain photopolymerizable hydrogel blends. Physical properties of the obtained composite hydrogels are screened and optimized for the growth and development of skeletal muscle fibers from C2C12 murine cells, and compared with pristine GelMA. All these composites show high resistance to degradation maintaining the 3D structure with high fidelity over several weeks. Altogether, in this study a library of biocompatible novel and totally versatile composite biomaterials are developed and characterized, with tunable mechanical properties that give structure and support myotube formation and alignment.

Three-dimensional (3D) bioprinted culture systems allow to accurately control microenvironment components and analyze their effects at cellular and tissue levels. The main objective of this study was to identify, quantify and localize the effects of physical-chemical communication signals between tumor cells and the surrounding biomaterial stiffness over time, defining how aggressiveness increases in SK-N-BE(2) neuroblastoma (NB) cell line. Biomimetic hydrogels with SK-N-BE(2) cells, methacrylated gelatin and increasing concentrations of methacrylated alginate (AlgMA 0%, 1% and 2%) were used. Young's modulus was used to define the stiffness of bioprinted hydrogels and NB tumors. Stained sections of paraffin-embedded hydrogels were digitally quantified. Human NB and 1% AlgMA hydrogels presented similar Young´s modulus mean, and orthotopic NB mice tumors were equally similar to 0% and 1% AlgMA hydrogels. Porosity increased over time; cell cluster density decreased over time and with stiffness, and cell cluster occupancy generally increased with time and decreased with stiffness. In addition, cell proliferation, mRNA metabolism and antiapoptotic activity advanced over time and with stiffness. Together, this rheological, optical and digital data show the potential of the 3D in vitro cell model described herein to infer how intercellular space stiffness patterns drive the clinical behavior associated with NB patients.

Patient-derived cancer 3D models are a promising tool that will revolutionize personalized cancer therapy but that require previous knowledge of optimal cell growth conditions and the most advantageous parameters to evaluate biomimetic relevance and monitor therapy efficacy. This study aims to establish general guidelines on 3D model characterization phenomena, focusing on neuroblastoma. We generated gelatin-based scaffolds with different stiffness and performed SK-N-BE(2) and SH-SY5Y aggressive neuroblastoma cell cultures, also performing co-cultures with mouse stromal Schwann cell line (SW10). Model characterization by digital image analysis at different time points revealed that cell proliferation, vitronectin production, and migration-related gene expression depend on growing conditions and are specific to the tumor cell line. Morphometric data show that 3D in vitro models can help generate optimal patient-derived cancer models, by creating, identifying, and choosing patterns of clinically relevant artificial microenvironments to predict patient tumor cell behavior and therapeutic responses.