3D printing novel in vitro cancer cell culture model systems for lung cancer stem cell study

Abstract

Two-dimensional (2D) in vitro cell cultures and laboratory animals have been used traditionally as the gold-standard preclinical cancer model systems. However, for cancer stem cell (CSC) studies, they exhibit notable limitations on simulating native environment, which depreciate their translatability for clinical development purposes. In this study, different three-dimensional (3D) printing platforms were used to establish novel 3D cell cultures enriched in CSCs from non-small cell lung cancer (NSCLC) patients and cell lines. Rigid scaffolds with an elevated compressive modulus and uniform pores and channels were produced using different filaments. Hydrogel-based scaffolds were printed with a more irregular distribution of pores and a lower compressive modulus. As a 3D model of reference, suspension spheroid cultures were established. Therein, cancer cell lines exhibited enhanced proliferation profiles on rigid scaffolds compared to the same cells grown on either hydrogel scaffolds or tumor spheres. Meanwhile, primary cancer cells grew considerably better on hydrogel scaffolds or in tumor sphere culture, compared to cells grown on rigid scaffolds. Gene expression analysis confirmed that tumor spheres and cells seeded on hydrogel scaffolds significantly overexpress most of stemness and invasion promoters tested compared to control cells grown in 2D culture. A different phenomenon was observed within cells growing on the rigid scaffolds, where fewer significant variations in gene expression were detected. Our findings provide strong evidence for the advantageous usage of 3D printed models, especially those which use GelMA-PEGDA hydrogels as the primary scaffold material, for studying lung CSCs. The results demonstrated that the 3D printed scaffolds were better to mimic tumor complexity and regulate cancer cell behavior than in vivo 2D culture models.

Keywords: 3D printing; Cancer model; Cancer stem cells; Fused deposition modeling; Lung cancer; Stereolithography.