The use of multicellular spheroid models in cancer biology is several decades old1,2, but has gained substantial momentum in recent years. In large part, this reflects increased awareness of how strongly the phenotype of cancer cells is dependent on their microenvironment and specific growth conditions. The microenvironment in solid tumors is fundamentally different from that in corresponding normal tissues. This includes physico-chemical conditions such as pH, oxygen tension, as well as interstitial pressure, concentration gradients of soluble factors such as nutrients, waste products, and secreted signaling compounds (growth factors, cytokines). Furthermore, it includes the organization of the extracellular matrix (ECM), cell-cell interactions and intercellular signaling, and other aspects of the particular three-dimensional (3D) architecture of the tumor3,4,5,6. The specific microenvironmental conditions in which cancer cells exist, profoundly affect their gene expression profile and functional properties, and it is clear that, compared to that of cells grown in 2D, the phenotype of 3D spheroids much more closely mimics that of in vivo tumors7,8,9,10,11. 2D models, even if they employ hypoxia, acidic pH, and high lactate concentrations to mimic known aspects of the tumor microenvironment, still fail to capture the gradients of physico-chemical parameters arising within tumors, as well as their 3D tumor architecture. On the other hand, animal models are costly, slow, and ethically problematic, and generally, also have shortcomings in their ability to recapitulate human tumor conditions. Consequently, 3D spheroids have been applied as an intermediate complexity model in studies of a wide range of properties of most solid cancers9,11,12,13,14,15,16,17.
A widely employed use of 3D spheroids is in screening assays of anticancer therapy efficacy9,18,19,20. Treatment responses are particularly sensitive to the tumor microenvironment, reflecting both the impact of the tortuosity, restricted diffusion, high interstitial pressure, and acidic environmental pH on drug delivery, and the impact of hypoxia and other aspects of the microenvironment on the cell death response9,17. Because the environment within 3D spheroids inherently develops all of these properties7,8,9,10,11, employing 3D cell cultures can substantially improve the translation of results to in vivo conditions, yet allow efficient and affordable high-throughput screening of the net growth. However, the great majority of studies on the drug response of cancer cells are still carried out under 2D conditions. This likely reflects that, while some assays can relatively easily be implemented for 3D cell cultures, many, such as viability assays, western blotting, and immunofluorescence analysis, are much more conveniently done in 2D than in 3D.
The aim of the present work is to provide easily amenable assays and precise protocols for analyses of the effect of treatment with anti-cancer drugs on cancer cell viability and survival in a 3D tumor mimicking setting. Specifically, we provide and compare three different methods for spheroid formation, followed by methods for qualitative and quantitative analyses of growth, viability and drug response.