Abstract
Three-dimensional multicellular tumor models are receiving an ever-growing focus as preclinical drug-screening platforms due to their potential to recapitulate major physiological features of human tumors in vitro. In line with this momentum, the technologies for assembly of 3D microtumors are rapidly evolving towards a comprehensive inclusion of tumor microenvironment elements. Customized spherically structured platforms, including microparticles and microcapsules, provide a robust and scalable technology to imprint unique biomolecular tumor microenvironment hallmarks into 3D in vitro models. Herein, a comprehensive overview of novel advances on the integration of tumor-ECM components and biomechanical cues into 3D in vitro models assembled in spherical shaped platforms is provided. Future improvements regarding spatiotemporal/mechanical adaptability, and degradability, during microtumors in vitro 3D culture are also critically discussed considering the realistic potential of these platforms to mimic the dynamic tumor microenvironment. From a global perspective, the production of 3D multicellular spheroids with tumor ECM components included in spherical models will unlock their potential to be used in high-throughput screening of therapeutic compounds. It is envisioned, in a near future, that a combination of spherically structured 3D microtumor models with other advanced microfluidic technologies will properly recapitulate the flow dynamics of human tumors in vitro.
Keywords: 3D In vitro models, Drug Screening, Microparticles, Microcapsules, Tumor Spheroids
1. Introduction
2D flat cell cultures of cancer cells remain the most commonly used in vitro platforms for screening anti-cancer therapeutics, despite their recognized inability for mimicking three-dimensional (3D) cellular organization and tumor proliferation kinetics [1–3]. Moreover, these in vitro models lack the ability to correctly mimic tumor stromal heterogeneity and tumor-ECM components. Adding to these limitations, nutrients, oxygen, and pH gradients are not recapitulated, resulting in a recognized inability to realistically mimic in vivo tumors [3]. Overcoming the shortcomings of conventional 2D cultures through the engineering of more robust in vitro models capable of simulating in vivo solid tumors, could improve the efficacy of anti-cancer drug discovery and biological performance screening [1]. The development of such models could contribute to reduce the number of false-positive results obtained during preclinical validation of novel compounds and improve the in vitro/in vivo correlation.
In this context, three-dimensional (3D) in vitro models have been gaining increasing momentum in the field of drug-screening and cancer research, due to their improved ability for recapitulating the complexity of the tumor microenvironment (TME) [4,5]. 3D culture models are capable of recapitulating tumors cellular heterogeneity, cell-cell interactions, and spatial architecture. In fact, the reproduction of such characteristics in 3D promotes the establishment of nutrient, oxygen, and signaling factor gradients, as well as the establishment of unique gene expression patterns similar to those observed in in vivo solid tumors [6].
From the currently available in vitro tumor models, 3D multicellular tumor spheroid models (3D-MCTS) remain one of the most commonly explored [7,8]. Their relative ease of assembly, reproducibility, and the ability to capture cellular heterogeneity (e.g., co-cultures of cancer-stromal cells), renders them suitable tumor surrogates for preclinical validation of novel therapeutic compounds [9]. Up to date, various 3D-MCTS in vitro models have been used to modulate the cellular components present in the TME of different tumors including those of breast [10], colon [11], pancreas [12] and lung [13]. However, most of these models still lack a complete representation of tumor-specific and disease stage-specific ECM. This is a critical component which is recognized to extensively influence cancer evolution through key biochemical and biomechanical cues [14,15].
To overcome these limitations, various studies have attempted to include ECM mimetics in the form of spherically structured scaffolds, namely microparticles or microcapsules. These technologies have been extensively used in the field of tissue engineering and stem cell research [16–18], and offer further opportunities to mimic the complexity of the TME in vitro. In fact, this approach opens the possibility to study biochemical and tumor-ECM dependent mechanical cues through the inclusion of modular matrix-mimetic scaffolds [19]. The inclusion of tumor-ECM components in a 3D spherical geometry allows researchers to control various key parameters, such as: (i) pH, oxygen, and nutrient perfusion gradients, (ii) cell-cell interactions, (iii) morphology, and (iv) tumor models overall size. Importantly, previous studies have associated variations in 3D tumor microtissues size and morphology with variability in phenotype, gene expression profile, as well as with the degree of response to anti-cancer or anti-stromal therapeutics [20,21]. The integration of spherically structured scaffolds morphology into tumor modeling is herein demonstrated to not only allow an increased control over produced spheroids biophysical properties, but also to increase models’ reproducibility in terms of shape and size, both of which are major aspects that must be considered in drug screening assays. Furthermore, implementation of spherical designs facilitates incorporation of tumor-ECM components in well-established methodologies for spheroids analysis [22]. This unlocks the opportunity to model cell-ECM interactions and to evaluate the influence of ECM components inclusion in the response to anti-cancer therapeutics in a high-throughput compatible mode.
On this focus, this review showcases and critically discusses the recent advances in the field of complex 3D in vitro tumor models’ assembly via spherical scaffolds. We begin by summarizing current scaffold-free and scaffold-based 3D microtumor production technologies and present up-to-date examples on the use of microparticles, microspheres, and microcapsules to assembly advanced 3D-MCTS. A critical perspective regarding future developments on new models that fully recapitulate in vitro the cellular and acellular components of the TME is also provided.
2. In vitro 3D Models Production
Ideally, 3D tumor models should be able to recapitulate the cell-cell and cell-tumor ECM crosstalk established during tumor progression. This communication is well recognized to contribute to the establishment of either pro-tumoral or anti-tumoral microenvironments [23,24], depending on the type of cells and ECM properties. Such dichotomy is well portrayed by the communications that can be established between immune cells and mesenchymal stem cells (MSCs) present in the TME. In fact, MSCs-immune cells communications can lead both to immunosuppression and promotion of angiogenesis, or to the increased recognition of cancer cells by infiltrating immune cells. Such crosstalk is precisely mediated by the release of anti- and pro-inflammatory cytokines and growth factors, which can exert different effects depending on their amount and combinations [25,26]. Therefore, to recapitulate human tumors, 3D models must mimic this dichotomy, as well as ECM mechanical properties, cells spatial arrangement, and spatiotemporal biochemical composition of the TME. In vitro 3D microtumors should also be produced to dynamically recapitulate specific disease stages (e.g., from proliferation to metastasis) under highly reproducible conditions, so as to assure a direct correlation between in vitro and in vivo data [27].
3D multicellular tumor models production methodologies can be divided into three major categories: (i) scaffold-based models which take advantage of diverse natural, or synthetic materials that aim to mimic in vivo tumor-ECM [28–30]; (ii) scaffold-free models, which take advantage of cells suspension or hanging-drop techniques for assembly of 3D-MCTS [31–34]; and (iii) combinatorial hybrid technologies such as microencapsulation or microparticle-based approaches, which seek to combine the cell-cell aggregation obtained in scaffold-free based methods with the ECM representing capacities of 3D scaffold-based platforms. The following sections will discuss the differences and common advantages/disadvantages of currently employed technologies for the establishment of 3D-MCTS. In section 3, a focus is provided on spherically structured assembly of 3D in vitro models as these technologies have potential to emulate the different components of in vivo tumors TME.
2.1. Scaffold-free 3D Models Production
Scaffold-free methods are based on the implementation of cell cultures under non-adherent conditions (Figure 1). The main aim of this strategy is to promote the production of 3D spherical (spheroids) or more loosely aggregated microtissues (cellular aggregates) [35–37]. Despite scaffold-free models nomenclature remains non-regulated to date, in general terms it can be classified into three distinct categories: (i) multicellular tumor spheroid models (3D-MCTS), initially implemented in the 1970s by Sutherland and co-workers [38], (ii) organotypic multicellular spheroids (e.g., fragments of tumor tissue cultured in non-adherent conditions), and (iii) tissue-derived tumor spheres obtained by partial disruption of tumor tissues through mechanical and/or enzymatical dissociation [39]. These microtissues are easy to assemble, to culture in vitro, and have been extensively used in the field of 3D in vitro disease modeling for drug screening and more fundamental biology studies.
Figure 1.
Schematics of scaffold-free technologies used for 3D in vitro tumor spheroids assembly. Static technologies are useful to obtain 3D microtissue with highly reproducible sizes but are unable to mimic the mechanical forces that cells/cellular 3D aggregates experience when cultured under dynamic flow conditions. Image layout adapted from Picollet-D'hahan and co-workers [49], with permission from Elsevier.
Static-based, scaffold-free methods such as forced-floating or hanging-drop techniques allow the assembly of highly reproducible 3D-MCTS in terms of size and morphology [40,41]. These techniques employ super-hydrophobic surfaces, or for example, poly(2-hydroxyethyl methacrylate) [42], or agarose coated multiwell plates [31,43,44] (Figure 1), to prevent adhesion to culture plate surfaces and promote instead cell-cell interactions that lead to intercellular adhesion and aggregation [32]. These 3D-MCTS can be formed either by monotypic or heterotypic co-cultures (e.g., comprising cancer and stromal cells) [45,46]. Over time, the newly formed 3D-MCTS start to secrete their own ECM, which increases their density and diminishes their size, further approaching these models to compact solid tumors similar to those obtained in vivo [47].
Dynamic, stirring-based technologies can be grouped into two classes: (i) stirring tank bioreactors in which the culture media is internally impelled (e.g., by spinning blades), and (ii) rotational (microgravity) bioreactors [48] (Figure 1). Such methods take advantage of mechanical forces that maintain cells in continuous suspension during culture [35].
By comparison to stirred tank bioreactors, rotational (microgravity) bioreactors have the advantage that the internal flow is generated by rotation of the container and not through blade mechanisms, thus imparting a lower shear-stress to the cultivated cells [50].
In comparison to static methods, stirring-based methodologies are able to effectively produce high amounts of 3D-MCTS, having the advantage of allowing easy culture medium exchange and modifications to cell culture conditions in situ [51]. However, regarding 3D aggregates reproducibility, stirring-based techniques lack a suitable level of control over 3D spheroids morphology and size, an important parameter that is generally present in static-based methodologies [52]. In fact, 3D spheroids and cellular aggregates obtained in bioreactors frequently exhibit variable shapes and density, leading to inconsistent responses to anti-cancer therapeutics [27,41]. Since cellular concentration is dictated for the entire batch, different internal dynamic flows can also result in aggregates with different sizes [53].
The combination of stirring and forced adhesion methods could overcome such limitations. For example, one could combine hanging-drop technique to obtain highly uniform 3D spheroids, and then translocate them into bioreactors or microfluidic platforms for evaluating fluid dynamics influence [54]. Overall, the main advantages of scaffold-free combination with dynamic culture methods are: (i) the ease of manufacturing multiple and reproducible 3D microtissues per batch; (ii) the ability to maintain prolonged culture times; (iii) the ability to modify the culture media and growth conditions (e.g., media perfusion flow rate, nutrient starvation); and (iv) the ability examine 3D models evolution in time either by single direct analysis in situ [55], or by placing them in hanging-drop super-hydrophobic, on-chip arrays [33,56]. In a study performed by Oliveira and co-workers [57], such super-hydrophobic surfaces were employed to produce osteosarcoma spheroid arrays for anti-cancer drug-screening. Superhydrophobic surfaces patterned with wettable spots were successfully applied for osteosarcoma cells (Saos-2) 3D spheroids formation, and allowed the establishment of dynamic platforms capable of simulating chemotherapeutics clearance through means of dynamic media renewal [57]. In addition, these platforms were also recently explored by Oliveira and co-workers [58], for stem cell-based tissue engineering. In this study, human adipose-derived stem cells (hADSCs) 3D spheroids were established under either direct or indirect co-culture with 2D cell layers. The cells were cultured in the flat microarray surface where a droplet of cells that formed the 3D spheroids was also formed. Co-culture of 3D hADSCs with 2D layers of HUVECs or Saos-2, resulted respectively in a significant decrease and slight increase in alkaline phosphatase (ALP) expression, an enzyme associated with hADSCs osteogenic differentiation, Therefore, such high-content imaging compatible, spheroid forming arrays, could be used in the future to study diverse stromal cells and 3D tumor spheroids direct or indirect interactions [58].
2.2. Scaffold-Based 3D Models Production
Tumor evolution in vivo is intimately correlated with the interactions between cells of the TME and their supporting ECM which provides both structural and signaling functions [59]. In a general perspective, the ECM is comprised mainly by fibronectin, collagen (types I-V), elastin, entactin, fibrillin, fibulin, vitronectin, laminin, as well as other glycoproteins and proteoglycans such as hyaluronic acid [60]. The exact composition of the ECM surrounding the primary tumor site can vary according to the type of tissue. Hence, the design of 3D in vitro models must take into account tissue, and patient, ECM specificity, since this variability can lead to different response rates to candidate anti-cancer therapeutics [27]. Furthermore, during tumorigenesis, alterations in matrix composition and structure occur over time due to cancer and stromal cell-mediated ECM deposition or degradation (mainly through matrix metalloproteinases (MMP) enzymatic digestion (e.g., MMP-9, MMP-2). This matrix rearrangement often involves collagen deposition and matrix stiffening, a phenomenon that is associated to an increased metastatic potential [61]. Moreover, various reports indicate that increased hyaluronan deposition and degradation occurs in several cancers. Such increases angiogenesis, metastasis and possibly drug-resistance [62–64].
It is this dynamic nature of the interactions established between all the cells in the tumor microenvironment and the surrounding ECM that scaffold-based tumor models aim to fully recapitulate. Scaffold-based 3D in vitro tumor models take advantage of natural, synthetic or hybrid biomaterials to culture cells in a TME-like milieu [19,35]. Each of these classes presents its own advantages and disadvantages in mimicking in vivo tumors on an in vitro setting (Table 2). While naturally derived ECM mimetics have relatively low batch-to-batch reproducibility, scaffolds formulated with synthetic materials although more reproducible may require functionalization with bioactive molecules or inclusion of naturally-derived bioactive cues (e.g., peptides, adhesion proteins, etc), thus originating hybrid scaffolds. Despite the increased chemical modifications required in synthetic or hybrid scaffolds, the introduced biofunctionalizations can provide the opportunity to manipulate ECM mesh alignment, elasticity and swelling behavior, either by using static, or reversible precision chemistry reactions [65,66]. Hence, key events such as matrix stiffening can be simulated and precisely controlled [67,68].
Table 2. Summary of commercially available technologies for establishment of 3D in vitro tumor models.
| Technology | Product Name | Description | Services | Ref |
|---|---|---|---|---|
| Scaffold-Free | Corning™ Ultra-Low Attachment Multiple Well Plates | Forced Floating 3D spheroids formation via culture in round bottom ultra-low attachment (ULA) multi-well plates | - | [159] |
| GravityPLUS™ | Hanging-drop based culture platform for 3D spheroids assembly and that uses a patented plate design which allows fast and user-friendly recovery of cultured microtumors | Insphero® offers an on-demand 3D spheroids development service using scaffold-free platforms | [160] | |
| Nexcelom3D™ | Ultra-low attachment (ULA) multi-well plates with flat or round bottom. | - | [161] | |
| Nunclon Sphera Surface™ | Ultra-low attachment (ULA) multi-well plates with round bottom | - | [162] | |
| OncoPanel™ 3D | A drug profiling platform comprised of more than 100 types of cell line-based 3D spheroid models suitable for drug-screening and validation. The technology used for 3D spheroids assembly is not disclosed | Provides a service of drug, profiling, regarding penetration and anti-proliferative screening in 3D spheroid models for more than 18 different tissue types | [163] | |
| Synthecon® Rotary Cell Culture Systems (RCCS) | Rotary platforms based in NASA microgravity bioreactors, ideal for 3D spheroids culture under low-shear stress conditions | - | [20] | |
| Scaffold-Based | 3D Insert™ | Scaffolds with well-defined porous structures comprised either by PCL, polystyrene (PS) or PLGA and suitable for 3D microtissues assembly | - | [164,165] |
| Advanced Biomatrix® Matrices and ECM Select® kits | ECM Select® Array Kit Ultra-36 is an array of ECM-mimetic scaffolds based mainly in natural derived ECM constituents (e.g., silk fibroin, collagen types I, II, III and IV, hyaluronic acid, or adhesion proteins – vitronectin, fibronectin, laminin, etc) in which 3D tumor models can be established. | Provides an ECM screening platform in which cells can proliferate and be analyzed. This technology is useful for assessing optimal matrix composition and mechanical properties that allow cells to grow in an environment that mimics in vivo conditions | [166] | |
| AlgiMatrix® | Alginate-based scaffold with highly porous structure suited for 3D cell culture and microtissues formation | - | [167] | |
| Alvetex® | Highly porous PS scaffold suited for 3D cell culture and microtissues formation | - | [168] | |
| Cellusponge | Collagen type I or Galactose-based scaffold discs that allow cells culture in easy to use 3D environment | - | [169] | |
| Cultrex® | Murine basement membrane extract purified from Engelbreth-Holm-Swarm tumors, available in reduced growth factor or concentrated growth factor form. This gel allows 3D cell culture in a bioactive environment | - | [170] | |
| Cytodex™ | A group of crosslinked dextran matrix -based particles, which can be used for 3D cells expansion | - | [90,171] | |
| Geltrex® | Soluble form of reduced growth factor basement membrane extract purified from murine Engelbreth-Holm-Swarm tumor | - | [172] | |
| HydroMatrix™ Peptide Hydrogel | A self-assembly scaffold, based in synthetic peptide nanofibers, that offers high precision and control of 3D matrix architecture. Suitable for 3D cell culture and spheroids formation | - | [173] | |
| HyStem® Hydrogels | A diverse set of thiol-modified scaffolds that can be comprised of Hyaluronan (Glycosil®) or Hyaluran and heparin (Heprasil®). Offers the possibly of being combined with Thiol-reactive PEGDA crosslinkers (Extralink®) or Thiol-modified collagen (Gelin-S®) | - | [174] | |
| Matrigel™ | Engelbreth-Holm-Swarm sarcoma solubilized basement membrane extract. Available in both concentrated and reduced growth factor forms | - | [175] | |
| MaxGel™ | Human extracellular matrix extract derived from human basement membrane. Suitable for 3D cell culture and invasion assays | - | [176,177] | |
| Qgel® Vials and Qgel® High-throughput kits | An extensive panel of synthetic, PEG-based ECM mimetics specialized with well characterized mechanical properties and composition, specifically tailored for tissue-specific cell lineages or primary cultures. The ECM-like matrices can be provided in 96-well modified plates and/or high-throughput compatible kits, suitable for drug-screening assays | Qgel® provides a specific artificial matrix tailoring service with the objective of finding or designing scaffolds that better recapitulate tumor/tissue specific ECM | [178] | |
| SeedEZ™ and GradientEZ™ | Glass fiber-based disc or flower shaped bioinert scaffolds mainly used to study the influence of compound or growth factor gradients in 3D cultured cells | - | [179] | |
| SpongeCol® | Type I collagen-based scaffold with lightly cross-linked structure for increased mechanical strength and durability. Suitable for 3D cell culture and microtissue formation in a well-defined biodegradable micro-porous structure | - | [180] | |
| TrueGel3D™ Hydrogels | Diverse array of scaffolds based in either PEG, PVA, dextran matrices, designed for 3D cell culture in tailored conditions i.e., fast (‘FAST-PVA’) or slowly (‘SLO-Dextran’) gelling gels, pH variation responsive gels, or gels tailored by the addition of specific cell adhesion domains | - | [181] | |
| Hybrid – Bioreactor-based Platforms | 3D Perfusion Bioreactor | Combination of bioreactor technology with the 3D Biotek® PCL disc inserts for the formation of perfused microtissues | - | [159] |
| 3DKUBE™ | 3D cell scaffold-culture chambers which allows the establishment of independent scaffold-based cell cultures under perfusion | - | [160] | |
| Hybrid – Microfluidic-based Platforms | Ibidi™ µ-Slide III 3D Perfusion, | A set of microfluidic devices capable of working in static or different perfusion conditions, in which cells encased in 3D scaffold-based models (e.g., Matrigel or other gel-based system) can be cultured. These platforms are suitable for simulating perfusion conditions, allowing for example drug administration under flow, chemotaxis and migration studies to be performed and analyzed in real-time by microscopy-based analysis | - | [182,183] |
| TissUse™ Organ-on-a-Chip | Organ-on-a-chip microfluidic devices that can accurately mimic physiological flow in endothelialized microchannels that establish communication between distinct reservoirs. These can work in either free-circulation or closed-loop setup, allowing communication between reservoirs that can contain 3D scaffold-based models of tumor and healthy tissues developed by the user | Provides a specific service of chip design and tailored healthy tissue organoid integration, oriented for drug safety evaluation | [184] | |
| MIMETAS™ Organplate Models | High-throughput compatible, organ-on-a-chip platforms that allows insertion of scaffold-based 3D models (e.g., gel-based), into close-loop microfluidic platforms. These platforms allow direct contact between scaffold containing sections and fluid containing channels by employing a patented phase guide™ system | MIMETAS™ offers services of OrganPlate® model design for drug development, efficacy and toxicity studies in its facilities | [185–187] | |
| SynTumor™ 3D Cancer Models | Microfluidic devices designed into tortuous channels with the aim of mimicking tumor-associated erratic microvasculature and transport across the vessel walls. These channels open into a central reservoir that can contain scaffold-based 3D tumor models |
Provides screening services and real-time screening of tailor made tumor models. Screening Services include target validation, compound screening, biomarker analysis, adsorption, distribution, metabolism, toxicity and mechanism of action studies | [188] |
3D - Three-Dimensional; PCL - Poly-ε-caprolactone; PEG - Polyethylene Glycol; PEGDA - Poly Ethylene Glycol Diacrylate; PGA - Poly Glycolic Acid; PLGA - Poly Lactic-co-Glycolic Acid; PS – Polystyrene; PVA - Poly Vinyl Alcohol
These ECM mimetic scaffolds can be manufactured into diverse structures such as: (i) fibrillar porous meshes, (ii) porous and non-porous microstructures (including microparticles or microcapsules), and (iii) micro-patterned surfaces, via 3D bioprinting technologies [28,35,96–100]. The production methodologies of scaffold-based in vitro models have been extensively reviewed elsewhere [19,101–103]. The different materials that are used for the manufacture of these scaffolds are selected by their specific characteristics, such as the rate of biodegradation, biocompatibility, elasticity, ease of manipulation and similarity to tumor-specific ECM. In this context, the following sections will review the most commonly used materials for these models, starting with natural-derived scaffolds and moving to synthetic and innovative combinatorial hybrid approaches used for correct ECM recapitulation.
2.2.1. Natural materials-based Scaffolds
From natural material-based scaffolds, the most commonly used hydrogel type for in vitro production of 3D-MCTS [28] is Matrigel™, a hydrogel matrix comprised by basement-membrane extracts obtained from Engelbreth–Holm–Swarm mouse tumors [72]. The assembly of this hydrogel often requires laborious preparation, involving cooling of all the materials and thawing in ice to prevent premature polymerization, since the material is liquid at 4º C and jellifies above 10ºC [104]. When crosslinked, Matrigel™ forms a randomly weaved mesh of fibers which withholds a large amount of fluid. Several types of Matrigel™ formulations with various concentrations can be obtained commercially, such as those produced by Corning Life Sciences®, BD Biosciences®, and Trevigen® [105]. This scaffold has been used to establish different types of 3D organoids (Figure 2A) and 3D spheroid (Figure 2B) models of various cancers, including those recognized by a highly aggressive progression such as pancreatic cancer [106].
Figure 2.
Different types of 3D in vitro models that can be assembled by using Matrigel™. (A) Cross section schematics of different types of assemblies to establish 3D pancreatic tumor organoids. (B) Cross section schematics of different types of assemblies to establish 3D cell cultures, namely cells in Matrigel™ and spheroids. (b1, c1, d1) Fluorescence microscopy micrographs of green fluorescent protein (GFP) expressing 4T1 breast cancer cells after 5 days of culture. (b1) Pre-coated 96 well plates with a 3D base comprised of Matrigel™, where 4T1-GFP cells are cultured in normal cell culture medium. (c1) 4T1-GFP cells cultured in cell culture medium containing 2% Matrigel™. (d1) Culture of 4T1-GFP cells in gel bed and gel containing medium, clear cellular aggregates are observable. Reproduced from Baker and co-workers [106], and from Li and co-workers [107], with permission from Elsevier and Ivyspring International Publisher, respectively.
Due to its in vivo origin, Matrigel™-based scaffolds introduce ECM-specific signaling molecules and binding domains, such as laminin, collagen, elastin, entactin, fibronectin, fibrinogen and different growth factors (e.g., Epidermal growth factor (EGF), basic fibroblast growth factor (bFGF), Platelet-derived growth factor (PDGF)), among others [108]. Such bioactive components provide for example integrin and MMP binding sites, both of them imperative in tissue organization and cancer metastasis [60]. As a result of their origin, natural-based scaffolds exhibit similar structural interactions to those found in humans providing a suitable in vivo-like matrix where different cell lines can proliferate and acquire a stem-like phenotype [108,109]. However, due to the animal origin of Matrigel™, this material also exhibits significant batch-to-batch variability [108], which results in low data reproducibility [27]. Furthermore, the complex and variable protein composition reduces the possibility to mimic tissue-specific ECM environments [27]. For example, Matrigel™ does not contain proper ratios of collagen type I or hyaluronan as those found in the matrix of in vivo tumors [104]. Moreover, it is important to emphasize that dynamic control over matrix stiffness in a dynamic mode is not possible [110]. However, it is possible to obtain Matrigel™ formulations with different protein concentrations and thus manufacture gels with tunable elastic moduli. Such is an important aspect in 3D in vitro tumor models’ establishment, especially since matrix stiffness has been directly correlated with cells migration processes [111].
Other examples of natural based scaffolds commonly used for the assembly of 3D tumor models include collagen, hyaluronic acid, alginate, chitosan and silk fibroin hydrogels, as well as decellularized ECM. Most of them present, tunable mechanical properties, high biocompatibility and cell adhesive features [87]. The advantages and disadvantages of the use of these materials for assembly of 3D tumor models are summarized in Table 1. These materials have recently received increased focus as scaffolds for assembly of 3D tumor models in several reports [70,84,87,101–103,112–124].
Table 1. Advantages and disadvantages of different origin materials used for the production of scaffold-based 3D in vitro tumor models.
| Class | Origin | Examples | Ref. | Advantages | Disadvantages |
|---|---|---|---|---|---|
| Natural | Mammalian | Collagen | [69,70] |
|
|
|
| |||||
| Matrigel™ | [71, 72] | ||||
|
| |||||
| Hyaluronan | [73,74] | ||||
|
| |||||
| Gelatin | [75,76] | ||||
|
| |||||
| Decellularized Matrix | [77,78] | ||||
|
| |||||
| Non-mammalian | Alginate | [79,80] |
|
|
|
|
| |||||
| Chitosan | [81,82] | ||||
|
| |||||
| Silk-fibroin | [83,84] | ||||
|
| |||||
| Synthetic | Polyethylene glycol (PEG) | [85] |
|
|
|
|
| |||||
| Polylactic acid (PLA) | [86,87] | ||||
|
| |||||
| Poly-ε- caprolactone (PCL) | [88,89] | ||||
|
| |||||
| Poly (lactic-co-glycolic acid) PLGA | [86,87] | ||||
|
| |||||
| Hybrid | Alginate-RGD | [90,91] |
|
|
|
|
| |||||
| PEG-RGD | [92,93] | ||||
|
| |||||
| PEG-fibrinogen | [94,95] | ||||
Collagen-based 3D models can be assembled either through physical or chemical\enzymatic crosslinking [125], leading to the establishment of a fibrillary scaffold. Collagen is the common constituent of the tumor microenvironment, being increasingly deposited during tumor progression for example in breast, lung, and colon cancers [126,127]. These natural 3D cell culture platforms contain key cellular adhesion domains and trigger signaling events capable of stimulating in vivo like morphology and gene expression, as demonstrated by Cheng and co-workers [70]. In this study, breast cancer cells (MCF-7) seeded on collagen porous scaffolds expressed high levels of pro-angiogenic factors (vascular endothelial growth factor (VEGF), bFGF and IL-8), matrix metalloproteinases (MMP-2, MMP-9). Additionally, cancer stem cells (CSC)-like populations (CD44+/CD24-/low) exhibiting increased epithelial-mesenchymal transition (EMT) markers expression (e.g., CT4A, SOX2, SOX4, JAG1) were detected [70]. Moreover, through the variation of protein content, or addition of synthetic cross-linking agents scaffolds stiffness, elasticity and fiber alignment of collagen gels and scaffolds can be varied to simulate matrix stiffening that occurs during disease progression [85]. As such, collagen hydrogels have been extensively used by various researchers to establish in vitro models for evaluation of EMT and cellular migration. For example, collagen has been used to study breast cancer cell invasion through variations of fiber alignment and scaffold stiffness [69]. A study by Fraley and co-workers [112], analyzed the effect of distinct collagen gels crosslinking level, pore size and varying fibrillar alignment combinations on cancer cells mobility and ability to migrate in complex ECM mimetic matrices [112]. The main results demonstrated that according to fiber alignment the protrusion rate of cancer cells and their respective orientation was greatly influenced. Furthermore, the levels of matrix metalloproteinase activity and their respective inhibition were highly dependent on matrix structure and collagen density, mimicking the complexity of in vivo tumor-associated matrix. This capacity to modulate cancer progression and invasion highlights the necessity of standardizing ECM mimetic microstructure characterization and composition. However, given the origin and composition of collagen, these in vitro scaffolds are prone to batch-to-batch variations, similar to those obtained with Matrigel™.
Other natural origin material that has been extensively investigated for assembly of 3D in vitro tumor models is hyaluronic acid (HyA). HyA is a major glycosaminoglycan found ubiquitously in normal and malignant tissues ECM, being comprised of D-glucuronic acid and D-N-acetylglucosamine residues [128]. HyA has been closely associated with cancer progression [129,130], and the presence of elevated quantities of HyA in the tumor stroma has been associated with poor patient outcome [131]. Given HyA importance in the TME a diverse array of studies has employed HyA-based scaffolds to establish 3D in vitro tumor models. Some of these studies take advantage of HyA unique chemical versatility that allows tailoring of its mechanical properties via precision chemical modification. One recent study that explores this possibility is that reported by Shen and co-workers [124], which developed a 3D scaffold based on acrylated hyaluronic acid hydrogels containing MMP-1 and MMP-2 sensitive peptides and bioadhesive RGD-based domains for the culture of fibrosarcoma cells (HT-1080). Using varying concentrations of the MMP sensitive peptides as a bridging moiety between acrylated hyaluronic acid chains, hydrogels with diverse degrees of crosslinking and different mechanical properties were formulated (Figure 3A). The use of an MMP-responsive HyA hydrogel with different crosslinking degrees allowed to study fibrosarcoma cells pro-angiogenic potential in different conditions that mimicked the native TME. An analysis of HT-1080 cells angiogenic sprouting potential demonstrated that in atmospheric conditions angiogenic induction only took place in soft and mediumly crosslinked HyA gels. Whereas, the establishment of hypoxic conditions lead to sprouting even in highly dense HyA hydrogel networks (Figure 3F).
Figure 3.
Establishment of 3D in vitro tumor models based on Hyaluronic acid hydrogels. (A) Schematic representation of Acrylated HyA hydrogels demonstrating crosslinking through MMP sensitive peptide bridging and functionalization with RGD-containing peptides. (C, E) The concentration of MMP sensitive crosslinkers allowed the control over gels viscoelasticity. Fibrosarcoma cells were cultured in acrylated HyA gel with varying stiffness, and under atmospheric or hypoxic conditions. (B) Schematic representation of sprouting assay. (D) Fluorescence microscopy of lectin stained (red) endothelial cells infiltrating the hydrogel containing fibrosarcoma cells supplemented with Stromal cell-derived factor α (SDF-1α). (F) While under non-hypoxic conditions no penetration occurred in stiff hydrogels, in 1% oxygen sprouting was observable. Reproduced from Shen and co-workers [106], with permission from The Royal Society of Chemistry.
Alginate, chitosan, and silk fibroin are examples of biopolymers derived of non-mammalian origins that have also been used for establishing 3D in vitro tumor models. These materials present low immunogenicity and suitable biocompatibility for in vitro cell culture [87]. Alginate is derived from brown algae and formed by repeating units of α-L-guluronic acid and β-D-mannuronic acid. Variations in the relative concentration of the two monomeric units produce changes in alginate physical and chemical properties, and the formation of gels with higher or lower water holding capacity and tunable porosity [132]. Alginate has been extensively used for cell encapsulation due to its capacity to rapidly crosslink under physiological conditions, easily forming a matrix that allows for medium and metabolite exchange [133,134]. However, it is important to mention that alginate possesses no cell adhesion properties, being often chemically modified with peptide-moieties or combined with other types of bioactive polymers [135].
Chitosan is another biopolymer that has been extensively used to form porous scaffolds for cell culture and tissue engineering due to its biodegradable, non-immunogenic and cationic nature which also promotes a facile functionalization with anionic molecules such as anionic glycosaminoglycans (e.g., HyA, heparan sulfate, heparin, chondroitin sulfate, keratan) [136]. The overall cationic charge of chitosan is attributed to its polymeric backbone which is comprised of glucosamine and N-acetylglucosamine units [136]. Chitosan has been conjugated with other types of biopolymers (e.g., alginate, HyA) [137,138] or macromolecules (e.g., bioadhesion domains, signaling cytokines such as VEGF or bone morphogenetic protein 2 (BMP-2)) to form biofunctional 3D scaffolds for tumor in vitro modeling [139,140].
Combinations of both alginate and chitosan to produce 3D in vitro disease models are one of the most common. For example, in 2013, Kievit and co-workers [113], formulated a highly porous polyelectrolyte chitosan-alginate (CA) composite scaffold that was used to establish a 3D glioblastoma model to study cancer cells (U-87) migration. The manufactured CA scaffold presented well-defined and aligned-fibers with small diameters ranging from 200 nm to 1.1 µm. This promoted glioblastoma cells 3D migration and evidenced that this may be a cost-effective testing platform to screen for anti-metastatic therapies. Furthermore, later in 2016, Kievit and co-workers employed a similar scaffold to study glioblastoma cells interactions in diverse ECM mimetic or non-mimetic scenarios [114]. In this study, different CA scaffolds, namely those coated with poly-ε-caprolactone (PCL) (lacking bio-adhesion domains), or coated with HyA (allowing interaction with cell receptors – CD44/HyA interaction) were investigated (Figure 4G). The produced scaffolds where then used for glioblastoma 3D cell culture in mono or co-culture conditions, using astrocytes and endothelial cells to better mimic glioblastoma TME and its complex cell populations (Figure 4D, E, F) [114]. The obtained results showed that cells cultured in scaffolds coated with ECM mimetic HyA had an increased expression of stemness markers (CD44 and CD133) (Figure 4G, H).
Figure 4.
Alginate-chitosan scaffolds formulated for establishment of glioblastoma 3D tumor models. (A) SEM images of different alginate-chitosan scaffolds namely: uncoated (CA), Hyaluronic acid (HyA) coated scaffolds, polycaprolactone (PCL) coated scaffolds. Scale bars in SEM images correspond to 500 µm in low magnification, and 20 µm in high magnification. (C) Fourier-transform infrared spectroscopy (FTIR) characterization demonstrating the presence of the distinct coatings. (B) U-87 MG cells expressing RFP and cultured in the diverse platforms exhibited highly different morphologies derived from their ability to effectively interact with its surrounding hydrogel matrix. Moreover, in U-87 cells mono or co-cultures the level of CSC markers (G, H) increased significantly in HyA containing scaffolds. These results demonstrate both the ability of matrix-cell interactions and cell-cell communication (D, E, F) to influence tumor progression and establishment of CSCs-like phenotypes which resulted in increased expression stemness markers CD44 and CD133 as well as of Id1 a transcriptional regulator associated with apoptosis, angiogenesis, and neoplastic transformation. Adapted from Kievit and co-workers [114], with permission from The Royal Society of Chemistry.
Silk fibroin, has also been extensively used for the development of 3D in vitro models, particularly for the study of cancer-to-bone metastasis [115,116], due to its resistance to protease degradation, as well as mechanical and cell adhesion properties (e.g., resultant from the naturally occurring RGD sequences of the fibroin protein). Adding to this silk fibroin can also be conjugated with different biomolecular cues (e.g., BMP-2, EGFR, SDF-1) [141,142]. To date, these scaffolds have been used for establishing in vitro 3D models of primary tumors including those of prostate [84], and osteosarcoma [117].
Decellularized matrices (dECMs) such as those obtained from malignant/healthy tissues decellularization, or by through in vitro ECM production by 2D cultured cells [119] have been gaining increasing attention given their remarkable ability to provide native ECM components. However, the difficulty in producing such matrices in high-throughput compatible platforms, combined with the lack of structural and architectural control still hinders decellularized matrices widespread use as scaffolds for 3D in vitro tumor models assembly. Hence, recent studies have been mainly focused on the production and characterization of highly reproducibly cell-derived dECMs [119], or in the production of disease-specific decellularized matrices [120]. Using this concept, Rijal and co-workers described the development of a 3D tissue matrix scaffold, obtained from decellularized breast tissues, that was processed either into hydrogel or porous scaffolds which recapitulate native tissue architecture and resilience [120]. The obtained dECMs allowed the culture of breast cancer cells in microenvironments similar to those found in mammary tissue. Moreover, by comparing cellular proliferation of MM231 breast cancer cells in diverse decellularized platforms and matrix extracts, the authors demonstrated the important role of disease-specific ECM. In this study, the results indicate that MM231 cells grown in decellularized tumor matrices exhibit the highest proliferation in comparison to MCF-10A breast fibroblasts. Interestingly, a pro-tumoral phenotype of T47D and BT474 breast cancer cells tumoroids was obtained when anti-cancer drug-screening assays were performed in dECMs in comparison with other tested scaffolds (Collagen, Laminin rich ECM, PLGA) [120].
2.2.2. Synthetic Materials based Scaffolds
Alternatives to naturally derived scaffolds include synthetic, polymer-based, scaffolds that can be precisely manufactured to include ECM-mimicking cues and tweaked biophysical properties [102]. Several synthetic polymers exhibiting bioactive, biocompatible and biodegradable properties have been synthesized and reported in the literature in the recent decades, namely poly(ethylene glycol) (PEG), polylactic acid (PLA), poly(glycolic acid) (PGA), poly(lactic-co-glycolic acid) (PLGA) and poly-ε-caprolactone (PCL) [5,132]. Overall, batch-to-batch variability and the lack of a precise control over scaffolds mechanical properties associated with natural scaffolds is eliminated when using well-defined, synthetic polymer-based scaffolds [143]. Moreover, when functionalized with bioactive molecules they serve both as bioinstructive and structural anchors until de novo matrix deposition by cancer and stromal cells occurs [28].
However, cells cultured in purely synthetic platforms can proliferate devoid of tumor-like gene expression patterns, presenting inconsistent tumorigenicity, metastatic potential or drug-resistant phenotypes, when compared to those of in vivo tumors [28,144]. Expectedly, such issues affect the production of robust tumor-mimicking 3D in vitro models. To overcome such drawbacks synthetic materials are often combined with other polymers such as polyvinyl alcohol (PVA), or with naturally derived biopolymers such as chitosan, hyaluronic acid or polydopamine, in order to attain more in vivo-like conditions [86,145,146].
2.2.3. Hybrid Scaffold Based Models
The development of hybrid-based scaffolds for the assembly of 3D models is based on the incorporation of natural bioactive molecules (e.g., growth factors), and bioadhesive moieties (e.g., peptides), into the highly tunable/controllable matrix of synthetic scaffolds [87,132]. Synthetic materials can act as a ‘white-canvas’ and be conjugated with natural polymers such as fibrin [147], HyA [73], or specific bioactive molecules (e.g., BMP-2, RGD peptides). PEG and its derivatives (PEG-diacrylate) have been the most widely used synthetic polymers for conjugation with bioactive molecules and to ultimately form 3D biofunctional hybrid hydrogel scaffolds for cancer in vitro modeling. As demonstrated by Weiss and co-workers, PEG polymeric backbone was successfully functionalized with a peptide containing RGD domains [148], which resulted in increased cellular adhesive properties. In addition, MMP or plasmin-sensitive sequences have also been chemically coupled into PEG [122,143]. The inclusion of these bioactive moieties increased cellular interactions (e.g., cell-ECM and cell-cell), and mimicked tumor-ECM specific degradability [149]. One example of this strategy is the study performed by Roudsari and co-workers [150], in which PEG-based hydrogels, containing both MMP sensitive (GGGPQGIWGQGK), and cell adhesion (RGD) peptides, were used to co-culture lung adenocarcinoma cells (3445Q) with endothelial and pericyte vascular cells. These proteolytically-degradable models promoted tubule-like network formation guided by interactions with cancer cells and provided a suitable platform to study tumor neo-vascularization.
Compared to conventional natural or synthetic scaffold-based approaches, advanced hybrid scaffold-based 3D in vitro models represent more robust platforms in which several aspects of tumor progression can be recapitulated. In fact, hybrid scaffolds could allow to evaluate the role of specific ECM components in events such as metastasis [151] or cancer cells proliferation [152]. However, the manufacture of hybrid scaffold-based models generally requires laborious production procedures, an important aspect that limits their use in high-throughput screening platforms [27]. Combination of hybrid scaffold-based methodologies with scaffold-free based techniques has provided novel and interesting platforms that can be used to modulate, with relative ease, several aspects of tumor progression, such as ECM deposition, metastasis, genetic drift and angiogenesis.
Recapitulating the diverse facets of tumor progression in multifactorial hybrid-based approaches, allows more predictive models to be obtained. A recent study by Hirt and co-workers, demonstrated the combination of bioreactor-based methodologies to develop a drug-screening model of colon cancer with HT-29 cells cultured in porous scaffolds under perfusion flow [153]. The model showed a high correlation with tumor xenografts regarding the testing of a cytotoxic compound (5-Fluorouracil), and a clinically effective compound (BCL-2 inhibitor ABT-199), with 2D cultures evidencing antagonistic responses [153].
Other promising models have combined microfluidic platforms with collagen matrix hydrogels [154]. Microfluidic systems entail the use of micrometer-sized channels that open the possibility to produce 3D microtumor models under flow perfusion conditions [155]. Ultimately, scaffold-microfluidic combinations allow for a precise control of cancer cells growth by dynamically controlling cell culture media composition and manipulating drugs mass transfer via modification of liquid flow rate [156]. These characteristics make microfluidic systems ideal to perform angiogenesis, migration, or flow perfusion studies in the context of tumor perfusion and tumor invasion, EMT, cells dissemination and metastasis [28,157,158].
From the abovementioned materials to assemble 3D tumor models for drug discovery, several have been translated into commercially available platforms in recent years. As summarized in table 2, these 3D in vitro cell culture tools take advantage of both scaffold-based and scaffold-free strategies to assemble 3D microtumors in TME mimicking environments and in a monotypic or heterotypic co-culture mode. Moreover, some of the most advanced platforms also allow to model nutrient flow dynamics and are amenable to screen anti-cancer candidates in high-throughput and high-content imaging settings (Table 2).
Although a significant number of commercial platforms has been developed, to date the majority of scaffold-based models, particularly those based on hydrogels, fail to achieve a precise control over 3D microtumors spherical morphology in a sense similar to that obtained in 3D tumor spheroids assembled by scaffold-free approaches. However, despite the fact that 3D spheroids present reproducible morphological features and tunable size, the absence of pre-existing tumor ECM components also remains a significant drawback [19,66]. The following section will describe advanced technologies based on spherically structured 3D platforms that aim to bridge the gap between the lack of gel-grown microtumors reproducible morphological control and the absence or pre-existing ECM components in 3D scaffold-free assembled spheroids.
3. Spherically structured 3D In vitro Tumor Models
Considering the specificities of the drug-screening process, namely the necessity of high-throughput, ease of analysis, reliability and predictable potential of the preclinical validation models [39,189], an ideal approach could require the combination of scaffold-based models to represent ECM biochemical and mechanical complexity, along with the ease of analysis obtained from simple scaffold-free spherical models. Following the example of stem cells research in tissue engineering [17], such a combination could be achieved for example through the inclusion of microparticles containing specific ECM mimetic components. These combinations would allow the inclusion of TME specific matrix and cellular components into a spherical scaffold (Figure 5), thus leading to the formation of composite multicellular spheroids compatible with current analysis methodologies. An alternative methodology to the inclusion of microparticles would be the encapsulation of cancer cells inside hydrogel microcapsules [16]. Microencapsulation techniques have shown the capacity to confine cells and promote a reproducible spheroid growth, while providing ECM-like components that would otherwise be lacking [16,190,191]. Several spherical in vitro tumor mimicking cancer models have been developed so far, providing innovative platforms for the study of tumor biology and drug-screening assays (Figure 5). Herein, microencapsulation and microparticle scaffold will be critically reviewed in light of recent reports.
Figure 5.
Schematic representation of the diverse technologies used for assembly of spherically structured 3D in vitro tumor models.
3.1. Microparticles for 3D Tumor Models Assembly
As previously stated, 3D-MCTS are seen has golden standard in vitro models for performing drug-screening tests [192], due to their ability to correctly recapitulate several features of the tumor microenvironment, such as: (i) cell-cell interactions; (ii) matrix deposition; (iii) cell-ECM interactions; (iv) internal structure organization (responsible for hypoxia and consequently necrotic core formation) and (v) drug-resistance, stemming both from the acquisition of a resistant phenotype by continuous low drug dose stimulation, and drugs diffusional limitations in dense tumor masses [22]. These models provide a platform that can be easily assembled and facilitates high-throughput studies [193], in comparison with more complex scaffold or microfluidic-based models. However, as previously discussed in section 2.1, conventional spheroid-based models have inherent limitations that could be overcome by including biofunctional microparticles.
Microparticles have been extensively applied in the field of tissue engineering mainly in four areas of application: (i) delivery of incorporated or surface-attached molecular cues or tethered protein into tissues or cell aggregates; (ii) reporting changes in culture conditions; (iii) serving as scaffolds for cell attachment and providing necessary cues for cell differentiation or phenotype stimulation, and (iv) introduction or preservation of local targeted heterogeneity or homogeneity [17,194]. To date, most studies have explored of microparticles mainly for structural support of for providing molecular cues, with limited works exploring microparticles potential in the context of tumor modeling. Studies involving microparticles-based scaffolds for the production of in vitro tumor models [86,94,133,195–198], employing either non-modified synthetic polymers, or hybrid scaffolds such as the previously discussed PEG-Fibrinogen model, later developed by Pradhan and co-workers into the format of microspheres that allowed the assembly of spherical cancer models [94].
As mentioned, in comparison to scaffold based models, 3D-MCTS main limitation is the lack of a pre-existing ECM-like supporting structure. As a result, contrarily to what happens in vivo¸ the ECM will not be able to guide or influence cancer cells and stromal cells from the onset, ultimately failing to provide the necessary initial cues for characteristic cancer phenotypes to arise [199,200]. Consequently, the acquisition of phenotypes that do not resemble those found in vivo can be observed in certain culture settings. For instance, Brancato and co-workers [201], reported that for spheroids assembled either for cancer-associated fibroblasts (CAF) or normal fibroblasts, different cell metabolism, cell growth, matrix deposition rates and mechanical properties were observed when culturing cells with or without the support of porous gelatin microparticles [201]. Through the use of such microparticles, the authors were able to better replicate the functional and metabolic differences found in vivo between healthy and neoplastic tissues containing CAFs [201]. This study exemplifies that the introduction of microparticles into spheroid-based tumor models allows to surpass such limitations.
Emerging reports have described the use of microparticle-based scaffolds as a means of introducing previously lacking ECM components into 3D-MCTS, promoting stem-like or multidrug resistance profiles [195,197,201]. The production methodologies for these microparticles mainly involve the application of modified double emulsion methods and sieving, with the combination of both techniques allowing a high yield of microparticles in the desired size ranges [94,195,196,198,201]. A significant body of knowledge on the methodologies to prepare polymer and hydrogel microparticles has been accumulated in the field of drug delivery systems in the past decades [202], and could be transposed to support spherical cancer models production. One can envisage that simple compact particles to the surface of which cells can adhere, or porous micro- or macroparticle formulations (with enhanced surface area for cell attachment and adding additional volume for cell colonization) (Figure 5), can provide a structure capable of recapitulating aspects of the TME. Sahoo and co-workers [86], produced porous microparticles based scaffolds which allowed cells to interact with a semi-rigid or rigid ECM-like structure. The obtained PLGA/PLA microparticles exhibited diameters ranging from ~100-260 µm and consequently significant surface area for cell attachment. After a period of 5 days, microparticles were completely covered in cell layers, that ultimately formed a spherical aggregate in which compact cell-cell adhesion characteristics found in 3D scaffold-free techniques were reproduced. This approach allows the establishment of 3D-MCTS when used in combination forced-floating, hanging drop or stirring-based methodologies [86].
In the context of particle porosity, the work of Kang and co-workers [198], established a cryopreservable tumor model of MCF-7 using PLGA microspheres with an average particle diameter of 393±5 μm, an exterior pore size ranging from 10-70 μm with intertwined porosity (Figure 6). The particles were used for cancer cells culture in stirred suspension bioreactors, achieved an elevated growth rate (2.8-fold cell expansion over seven days), increased resistance to doxorubicin when compared to 2D counterparts, as well as maintained viability and metabolic profiles after the process of cryopreservation. Moreover, the model exhibited increased effectiveness in establishing tumors on athymic female mice, with MCF-7 cells cultured on microspheres presenting a 4-fold increase in tumor formation [198].
Figure 6.
(A, B) PLGA microspheres produced as a cryopreservable model SEM micrographs, presenting pores with suitable size for cells impregnation in the scaffold. (C) H& Estaining of MCF-7 cells cultured on PLGA microspheres inside a spinner flask, image acquired at 5 days of culture. White and Black bars represent 100 µm. Adapted from Bae and co-workers [198], with permission from Elsevier.
So far, most studies involving tumor modeling produced polymeric microparticles as supporting scaffolds for assembling breast cancer cell spheroids, but mostly restricted to the MCF-7 lineage [94,195,196,198,201,203]. Several studies made use of Microparticles scaffolds as a mean of culturing breast cancer cells for measuring the cytotoxic effect of diverse pharmacological compounds such as doxorubicin, cisplatin, gemcitabine, paclitaxel, and tamoxifen [195,196,198]. In this context, Horning and co-workers [196], used a combination of PLA and chitosan to create microparticles with diameters of 160-182 µm for culturing MCF-7 cells and evaluating its cytotoxicity profile against doxorubicin, paclitaxel, and tamoxifen [196]. The authors performed a comparison analysis between 2D and 3D models and observed that drug internalization was significantly delayed in the 3D model. (Figure 7). In fact, while in 3D models containing microparticles doxorubicin only reached the spheroid core region after 8h of incubation, in 2D models such observations were visible within the first hour.
Figure 7.
Confocal images of doxorubicin penetration over several time periods (15 min, 1h, 4h, 6h, 8h and 24h) in both 2-D monolayer cultures and 3-D of MCF-7 breast cancer cells, following incubation with 2.500 ng/ml of doxorubicin (in green). B and D columns of each section are enlarged areas of the images present in to their left. Analysis of doxorubicin penetration demonstrated slower penetration in MCF-7 spheroids when compared to 2D monolayers, taking almost 24 h to achieve the same level of doxorubicin inclusion in the 3D structures. Adapted from Horning and co-workers [196], with permission of American Chemical Society (ACS).
The ability to recapitulate in vivo arrangements and expression patterns may pave the future for screening novel therapeutics targeting specific TME hallmarks. Another study by Brancato and co-workers improved on the previous porous gelatin microparticle-based model of stroma through the addition of MCF-7 cancer cells. This breast cancer co-culture model containing porous gelatin Microparticles, was used to test a targeted nanoparticle drug delivery system [195]. A comparative analysis confirmed elevated expression of MMP-2 and other metalloproteinases in the 3D model versus 2D cultures, hence better mimicking in vivo overexpression by breast cancer cells in the TME. Interestingly, this enzymatic overexpression was effectively exploited via an enzyme-responsive targeted delivery system, comprised by PLGA-PEG nanoparticles and a tumor targeting pro-drug activated by MMP-2 degradation. The obtained results evidenced increased specificity of targeting system in microparticles-based models, with the efficacy of the nanoparticles being confirmed through increased cytotoxicity in the 3D model (Figure 8) [195].
Figure 8.
Fluorescence microscopy (A, B, C) and RT-PCR (D) analysis of MMP-2 expression in both tumor mimicking (CAF/MCF-7) and normal breast tissue 3D spheroids (MCF-10A) containing porous gelatin microparticles (cell nuclei in blue, MMP2 protein in red; scale bar 75 µm). (F, G, J, K) Fluorescence microscopy analysis of doxorubicin penetration (green) (scale bar 50 µm); in tumor mimicking spheroids and healthy spheroids with (F, J) or without (G, K) MMP sensitive targeting nanocarrier particles. CAF/MCF-7 spheroids exhibited higher (C – left side) doxorubicin penetration especially when treated with MMP-2 sensitive doxorubicin carrying nanoparticles. (G, H) Alternatively, in normal tissue spheroids, no doxorubicin release was observed. Results demonstrate gelatin microparticles potential for mimicking in vivo overexpression of metalloproteinases. Adapted from Brancato and co-workers [195], with permission from Elsevier.
Despite extensive implementation of microparticle-based scaffolds in tissue engineering applications, there is still a tremendous untapped potential for exploring these assemblies in the field of in vitro tumor modeling. In fact, most models containing microparticles merely focus their utilization as cell culture vehicles or for culture in bioreactors. Production of finely tuned microparticle structures using advanced 3D printing and micropatterning technologies [204], or through the use of flow-focusing microfluidic devices [205], could allow to study the role of specific signaling cues in in vitro expanded malignant cells. These novel approaches may shed light upon biomolecules specific roles and enhance our capacity to modulate the TME in vitro.
3.2. Microencapsulated 3D Models
Encapsulation of cancer cells or spheroids is a promising strategy for tumor modeling that has received considerable attention in recent years [5]. Microencapsulation can serve as a mean of representing spatially defined ECM mimicking scaffolds. This strategy allows cancer and stromal cells to grow (in mono or co-cultures), and establish both cell-cell and cell-ECM interactions in a confined, yet, not fully isolated environment. Furthermore, the encapsulation of cancer cells, particularly in spherical-shaped, size-controlled microcapsules with semi-permeable membranes, allows bidirectional diffusion of nutrients, oxygen, therapeutic compounds and low/medium molecular weight signaling molecules (e.g., growth factors and cytokines). In addition, microencapsulation can be employed to prevent the penetration of high molecular weight objects such as antibodies and immune cells [206], having been originally used as a tool for cell transplantation and immune isolation. In the field of tumor modeling, microencapsulation has been employed in a diverse set of ways that will be discussed in the following examples [16].
The ability to restrain direct cellular contact makes microencapsulated 3D-MCTS as an ideal model to study the diverse paracrine interactions occurring in the TME between the different key cellular populations such as immune cells and mesenchymal stem cells [207]. This capacity of microencapsulated models was exploited by Yeung and co-workers [208], to study non-direct communication between neuroblastoma and bone-marrow derived mesenchymal stem cells. By using a collagen microsphere system, the authors demonstrated mesenchymal stem cells ability to promote neuroblastoma growth [208]. Such combinations of diverse cell populations in indirect contact can also be achieved in a hierarchically structured way, as demonstrated by the multilayered models produced by Fang and co-workers [190]. These authors manufactured hierarchically-assembled microencapsulated tumor models of prostate cancer cells (PKD1), and prostate cancer TME associated stroma cells (WPMY-1) in an alginate hydrogel. By separating the diverse cellular populations into different particle sub-layers, the authors achieved an ideal model in which to study the paracrine interactions established between both cell populations (Figure 9).
Figure 9.
Formulation of multi-layer spherical tumor models for compartmentalized 3D co-culture. (A) Schematic representation of the double-layered 3D models containing diverse cellular populations, and their respective analysis through (B) optical contrast light microscopy of stromal cells growth in the inner core with an empty outer-layer (7 days), and (C) live dead analysis of cells cultured in the double-layered model show that cells remain viable for over 30 days. Adapted from Fang and co-workers [190], reproduced under Creative Commons License.
In a recent study by Lu and co-workers [209], compartmentalized hydrogel microparticles containing ECM-mimetic scaffolds were produced through the combination of multi-fluidic electrospray of hydrogel particles with ionic/thermal gelation mechanisms (Figure 10). The ability to obtain compartmentalized platforms is important for several fields of tissue engineering and 3D in vitro disease models, a point which the authors demonstrated by utilizing the novel system to perform 3D cultures of small intestinal organoids, as well as tumor and hepatic microtissues. By using this platform, the authors were able to produce size-controlled microcapsules at a high rate (10 000 particles min-1), containing direct or indirect co-cultures of MDA-MB-231 breast cancer cells, MCF-10A normal mammary epithelial cells, and normal human lung fibroblasts (Figure 10Q, R). In culture, cells could communicate either by direct contact or via paracrine interactions, according to the compartmentalization settings. Furthermore, given the ability to control microgels size from 95 to 725 µm, the authors easily obtained encapsulated cultures with 600 µm of diameter and capable of recapitulating the hypoxic conditions seen in in vivo avascular solid tumors. The capacity of recapitulating direct and indirect interactions, the ability to represent both physical (hypoxic gradients) and biochemical (ECM composition) properties combined with the ability to sequentially retrieve cultured cells, makes this an ideal platform for further studies on gene expression, cell-cell signaling, and drug screening.
Figure 10.
(A, F, K, P) Schematic representation of the diverse multi-fluidic geometries used for production of hydrogel microparticles containing (P, Q) or not (A, F, K) two distinct ECM cores (P, R). Fluorescence Microscopy images of double-layer (B, C, G, H) and triple-layer (L, M,) microparticles containing fluorescently labeled alginate (either green or red). (D-E, I-J, N-O) Fluorescence microscopy images of co-cultured cells (green cells: MDA-MB-231 expressing GFP; red cells: normal human lung fibroblasts expressing RFP; blue cells: MCF-10A stained with Hoechst. (Q, R) These microparticles allowed indirect co-culture of diverse cell populations in distinct ECM-like environments, such as co-culture of MCF-10A cells in collagen (red), and MDA-MB-231 cells in Matrigel™ (green). Adapted from Lu and co-workers [209], with permission from Royal Society of Chemistry (RSC).
Layer-based microencapsulation can also be for the proliferation of key tumor sub-populations as demonstrated by Rao and co-workers [210], for prostate cancer stem-like cells (PCa-CSCs). By manufacturing liquid core microcapsules with an alginate hydrogel shell, the authors were able to accelerate PCa-CSCs production from 10 days to 2 days. When compared to growth in ultra-low attachment plates, microencapsulated prostate spheroid models presented a higher degree of stem cell surface receptor markers and higher pluripotency, which combined with the rate of production, renders this platform suitable for the production of PCA-CSCs in vitro [210].
On a different perspective, microencapsulation can also provide a platform for enhanced recovery of both cells and cell-secreted factors [211,212]. A study by Cui and co-workers [213], demonstrated the feasibility of easy cell recovery through thermal-dissociation of microcapsules incorporating HeLa cells which were readily recovered as aggregates under specific temperature conditions. Another study, by Huang and co-workers [191], reported a microcapsule model formed by gelation of a newly discovered peptide for encapsulation of MCF-7 cells. The methodology employed for microcapsule formation allowed cells to be encapsulated at physiological pH and temperature, in minimum essential medium, decreasing cytotoxic effects sometimes associated with microencapsulation processes [16,214]. Through shear stress, caused by pipetting, the gel was easily converted back to its liquid form allowing recovery of breast cancer cells [191]. Furthermore, cytotoxicity assays with cisplatin revealed that the models were suitable for drug-screening assays, by allowing free penetration of the drug. Such ability to isolate specific cells further increases the capacity of studying genetic and phenotypic alterations in specific sub-sets of the cultured cells. In a recent study by Yang and co-workers [215], spherical alginate-based microcapsules were used to cultivate low passage human mucoepidermoid cells, and also to isolate angiogenesis-related molecules released from these cancer cells. The analysis of 3D cultures phenotypes and genotypes revealed a higher expression of pro-angiogenic genes and hypoxia associated factors in comparison to those obtained in standard 2D cultures [215].
Microencapsulation can also be exploited for the assembly of hierarchic 3D tumor models. In a recent report, Agarwal and co-workers [216], microencapsulated breast cancer cells (MCF-7) in collagen I and alginate core-shell semi-permeable microcapsules (~400 µm) that served units for the bottom-up assembly of a 3D microtumor. This hierarchical model was able to promote de novo vasculature establishment and organization when encased under perfusion in a collagen I hydrogel containing human umbilical vein endothelial cells (HUVECs) and hADSCs (Figure 11B). This merged structure was then placed inside a microfluidic chip, being subjected to physiologic perfusion conditions. By introducing such physical and biochemical cues, through paracrine communication with encapsulated cancer cells, the authors effectively mimicked HUVECs vasculogenic morphogenesis. Furthermore, in vitro analysis revealed highly increased resistance to doxorubicin when compared to avascular and 2D models containing the same cellular ratios (4.7 and 139.5 times respectively) (Figure 11D).
Figure 11.
(A) Schematic representation hierarchically structured, vascularized 3D breast cancer models. Cells were encapsulated in Alginate-Collagen microcapsules (~200 µm) by using a microfluidic chip, (C) being cultured for up to 10 days with no loss of viability due to the radius of ~200 µm. (B) These microtumors were then assembled in a bottom-up approach into a vascularized tissue by encasing in a collagen I hydrogel in a perfusion microchip, containing HUVECs and adipose derived stem cells. (E) The combination of biological and physical interactions leads to de novo formation of functional vasculature mimicking the processes of angiogenesis seen in vivo. (D) This capacity noticeably contributed to a significant increase in models’ resistance Doxorubicin. Adapted from Agarwal and co-workers, [216], with permission from the American Chemical Society (ACS).
Similarly, to microparticles, microcapsules can also serve as a technology for the inclusion of tumor ECM components. Several studies demonstrated that for neuroblastoma [208], lung [217] and breast [29,206,208,218] cancer microencapsulated spheroids establish cell-cell signaling interactions similar to those observed in vivo. Moreover, internal ECM matrix components deposition occurs inside the microcapsules, leading to increased resistance when compared to conventional 2D models. Such makes these 3D microencapsulated models possibly suitable for drug-screening assays and research in tumor drug resistance. Interestingly, microencapsulated 3D-MCTS models can mimic for example both solid tumor density [29], cell-matrix interactions, and the mechanical and physical pressures resultant from uncontrolled expansion of tumor masses, which can promote cancer metastasis and lead to profile alterations in cancer cells [214]. In fact, as demonstrated by Guzman and co-workers [219], depending on the elasticity of the chosen microcapsule, these can allow the study of the invasive processes carried out for example by invasive breast cancer [219] and other epithelial tumors [220], recreating the breaching of the involving basement membrane layer that surrounds the primary tumor site. Furthermore, as elegantly demonstrated by Alessandri and co-workers [214], microcapsules can be used to study the buildup of intra-tumoral pressure, decurrent from the increasing of tumor mass generating increasing pressure on adjacent tissues and conversely compressing the tumor [221].
Microcapsule-encompassed spheroids are assembled through several methodologies, the most common of which being generation of liquid-core structures by employing microfluidic devices and hydrogel reticulation methods [29,206,214,222–224]. Frequently assembled microcapsules present diameters in the order of a few 100 µm to 500 µm, an exception being the study produced by Pradhan and co-workers [203]. The authors assembled poly (ethylene glycol) diacrylate (PEGDA) milibeads through the usage of a single droplet emulsion technique in which the PEGDA droplets were crosslinked in oil solutions through a dual-photoinitiator system. The authors consistently created monodisperse milibeads with geometric diameters that ranged from 1671.24 ± 34.91 μm to 3089.07 ± 55.58 μm (Figure 12) for encapsulating MCF-7 cells [203]. Moreover, the developed model achieved good cell-cell and cell-matrix adhesion, proliferation and establishment of extensive necrotic chore regions at day 5 of culture, accompanied by proliferative outer rims, akin to those characteristic to in vivo tumors (Figure 12G) [203].
Figure 12.
Tumor mili-sized particles capable of recapitulating tumor conditions lead to the establishment of necrotic cores around 5 days of culture. Live cells are stained with a green fluorescent marker, while dead ones appear in red. Difference between day 0 (A, B, C) and 5 days of culture (E, F, G). Ultrastructure of tumor mili-sized beads without (H) and with (D) encapsulated tumor cells, as observed through SEM. Adapted from Pradhan and co-workers [203], with permission from Langmuir.
Microfluidic-based approaches use flow-focusing, T-junction chips or more complex channel designs [16,192] to generate droplets of cell suspensions mixed with pre-selected biocompatible polymers or hydrogels. In these strategies, encapsulation into spherical structures is achieved by exposure to a crosslinking agent, such as calcium bath solutions or UV light, which triggers gelation and produces microcapsules containing the desired cells. Encapsulated cells assemble over time to form matrix-encapsulated spheroids capable of establishing both cell-cell and cell-matrix interactions [225]. An excellent example of such application is the formerly mentioned study by Alessandri and co-workers [214]. In this study, a model of colon carcinoma based on murine CT26 colon cancer cell line was assembled through a simple and highly reproducible method, based on a microfluidic co-extrusion chip assembled by co-centering three glass capillaries extruding sequentially cell solution, calcium free solution and alginate solution into a calcium bath (Figure 13) [214]. The authors were able to assemble highly elastic spherical microcapsules that acted as quantitative mechanical sensors to measure the internal pressure resultant from the expanding tumor cells. Moreover, the researchers found that peripheral cells inserted in the encapsulated model readily escaped the spheroid environment, while the spheroid invasive profile was not present in non-confinement 3D models (Figure 13I) [214].
Figure 13.
Production of spherical alginate microcapsules for development of 3D tumor models. (A, B) Schematic of the process used to produce alginate microcapsules, and confocal micrographs after staining with dextran (B). CT26 cultured in alginate matrix (E, F) and in free-spheroid form (C, D). (H) 3D models were cryosectioned and analyzed through immunolabeling DAPI (blue), Ki-67 (magenta), and fibronectin (red). Magnified confocal microscopy image of the surface of a fixed spheroid after staining with phalloidin-Alexa 488 (Hot LUT, cyan) (H). After reaching confluence both confined and control spheroids (G) were inserted into a collagen-based scaffold to access invasion capacity; (I) After 48 h cultured cells in confined models started to invade collagen matrix while freely formed spheroids retained their spherical shape. Scale bars: B=50 μm; C, D, E, and F=100 μm; G=50 μm; H=10 μm; I=100 μm. Adapted from Alessandri and co-workers [214], with permission from Proceedings of the National Academy of Sciences of the United States of America (PNAS).
Additional approaches to microcapsule production consist in the utilization of coaxial electrospray-based encapsulation, or alternatively, aerosol-based microencapsulation [224]. Leong and co-workers [224], demonstrated the feasibility of microencapsulating keratocytes (HaCaT) and cancer cells of oral squamous cell carcinoma (ORL-48) inside alginate microcapsules polymerized in a calcium bath. Produced microtissues were capable of self-arranging into spheroids inside the alginate microcapsules, remaining viable until after 16 days of culture. Other commonly employed techniques for microcapsule production involve simple procedures such as emulsion technique-based microencapsulation, or syringe pump extrusion and micromolding [16]. The work developed by Lee and co-workers [223], is an excellent example of the latter technique. In this study, the authors used diffusion-mediated encapsulation, performed in PDMS-micromolds where hepatocarcinoma spheroids were previously assembled. Such spheroids were subjected to posterior deposition of an encapsulating alginate hydrogel through nano-porous membranes, which allow a control over crosslinking agents deposition rates [223]. Lastly, 3D bio-printing has also been used by Xu and co-workers [226], to produce high-throughput automated encapsulation of ovarian cancer cells and fibroblast co-culture droplets in Matrigel™. This approach allows the study of co-culture interactions in diverse settings due to high control over initial cell density and spatial arrangement of the patterned structure of the model, paving the way for the development of more complex and precise spherical scaffold-based tumor models to be generated.
Identically microparticles, microcapsules can be used as a means of incorporating specific ECM mimetic components allowing the establishment of in vivo like interactions between internalized cells and tumor ECM as shown by Xu and co-workers [217]. In this study, the authors encapsulated A549 cells in a gelatin and glycosaminoglycan matrix modified with VEGF, bFGF, and a laminin peptide to improve cell adhesion, in an attempt to substitute the commonly used Matrigel™ and establishing an improved xenograft model using enriched 3D encapsulated lung cancer cells in vivo. The results showed that the functionalized gelatin membrane was comparable to Matrigel™-based models, but allowed a complete control over initial matrix composition [217].
3.3. Design parameters for fabrication of Spherically Structured 3D Tumor Models
Establishing reproducible and easy to analyze spherically structured in vitro 3D tumor models containing bioinstructive tumor-ECM moieties requires the manipulation of key parameters including: (i) the inclusion of multiple cellular components of the tumor stroma (e.g., fibroblasts, mesenchymal stem cells, adipocytes, etc) and their cell-cell ratios; (ii) type of culture medium; (iii) scaffolds biodegradability; (iv) selection and degree of functionalization of bioactive ECM-mimetics; (v) 3D spheroids size, as this parameter influences the formation of the characteristic necrotic core of solid tumors; and (vi) microparticles/microcapsules porosity due to its role in nutrients and cells diffusion through the scaffolds. Moreover, other parameters such as tumor ECM mechanical and viscoelastic properties must be controlled to closely mimic those of the native diseased tissues. This one of the most important parameters since as demonstrated by Alessandri and co-workers [214], the elasticity of the matrix in which cells adhere can influence the establishment of a pro-metastatic phenotype, simulating the pressure exerted by surrounding tissues over the tumor mass [220]. Careful consideration must also be given to the manufacturing processes required for the fabrication of spherical 3D models based on microparticles or microcapsules, since the crosslinking processes might require cells exposure into deleterious, non-physiological conditions such as acidic/basic pH [214], organic solvents, or exposure to high-intensity UV light during photo-crosslinking reactions, all of these resulting in loss of cellular viability[16].
4. Conclusions and Future Perspective
The need for expediting drug research both at the preclinical validation level and discovery of novel targets is crucial for the management of currently incurable diseases such as cancer. Research regarding the development of novel 3D in vitro models is increasingly contributing to this goal by providing innovative platforms capable of efficiently, predictively, and robustly mimicking in vitro the complex in vivo reality of the TME in what regards its cellular and ECM components. Among the vast array of 3D cell culture methodologies that have been developed to date for in vitro tumor modeling, 3D spheroid-based models are the most promising regarding the production of high-throughput usable and affordable tumor mimetics. Microencapsulation and microparticle-based production technologies are capable of recreating complex cell-cell, mechanical and physiological characteristics that recapitulate in vivo solid tumors, at both the cellular and ECM level. These are highly valuable characteristics since standard 3D spheroid models lack correct ECM representation and confinement of soluble mediators (e.g., growth factors, cytokines) in controlled environments such as those found in human tumors niche.
Overall, there is a tremendous potential for improving 3D spheroid-based drug screening platforms by combining the knowledge acquired in scaffold-based methodologies with microencapsulation or microparticle inclusion techniques to form spherical microtumor constructs compatible with already implemented analysis methodologies (e.g., high-content imaging) [16,17]. Such complex hybrid spherical approaches to 3D tumor modeling, combined with the implementation of co-culture models have the potential to mimic a plethora of features that extend beyond the capacity of conventional 3D-MCTS. The inclusion of populations such as immune-cells (e.g., macrophages, dendritic cells, T-cells etc), adipocytes, mesenchymal stem cells, endothelial cells and tumor stroma associated fibroblasts (CAFs) is paramount importance for a full TME recapitulation. We envision that making efforts towards the inclusion of multiple cells in spherically structured compartmentalized-like capsular models could allow the study of paracrine signaling and provide platforms for discovery of innovative immune-oncological therapeutics. Moreover, microencapsulation provides the means of studying in detail both direct and indirect cell-cell and cell-matrix interactions found in the TME. A deeper knowledge about such crosstalk and events will open the opportunity to develop more advanced therapies that for example inhibit the process of tissue invasion and metastasis. Given that the vast majority of cancer-related deaths is associated with metastasis [227], from a therapeutic perspective, metastasis inhibition will open a new window of opportunity to significantly increase patient survival rates past 5 years.
In a future perspective, the nature of 3D spheroid models and the unique features provided by microencapsulation and microparticle technologies could also be combined with dynamic bioreactor-based culturing technologies to provide an added layer of in vivo-like conditions under dynamic flow conditions. Moreover, further improvements to hybrid spherical 3D tumor models are expected upon their combination with advanced organ-on-a-chip platforms and through the implementation of methodologies already used in the field of tissue engineering such as those related to cells microencapsulation cells-microparticle adhesion, as well as the formation of healthy tissue surrogate constructs. These healthy tissue constructs could be used to study the metastasis process from 3D tumor models in multi-compartment organ-on-a-chip platforms. This is envisioned to contribute to a faster discovery of more effective anti-cancer and anti-metastatic compounds or compound combinations.
Acknowledgements
The authors would like to acknowledge the support of the European Research Council grant agreement ERC-2014-ADG-669858 for project ATLAS. The authors also acknowledge the financial support by the Portuguese Foundation for Science and Technology (FCT) through a Post-doctoral grant (SFRH/BPD/119983/2016, Vítor Gaspar).
Abbreviations
- 3D-MCTS
Three-dimensional Multicellular Tumor Spheroids
- Tumor-ECM
Tumor Extracellular Matrix
- 3D
Three-Dimensional
- TME
Tumor Microenvironment
- MSCs
Mesenchymal Stem Cells
- PLL
Poly-L-Lysine
- hADSCs
Human Adipose-derived Stem Cells
- ALP
Alkaline Phosphatase
- MMPs
Matrix Metalloproteinases
- EMT
Epithelial-to-Mesenchymal-Transition
- GFP
Green Fluorescent Protein
- EGF
Epidermal Growth Factor
- bFGF
Basic Fibroblast Growth Factor
- PDGF
Platelet-Derived Growth Factor
- HyA
Hyaluronic Acid
- SDF-1α
Stromal Cell-Derived Factor ?
- VEGF
Vascular Endothelial Growth Factor
- BMP-2
Bone Morphogenetic Protein 2
- hBM-MSCs
Human Bone-Marrow Derived Mesenchymal Stem Cells
- dECMs
Decellularized Matrices
- PEG
Poly(ethylene glycol)
- PLA
Polylactic Acid
- PGA
Poly(Glycolic Acid)
- PLGA
Poly(Lactic-co-Glycolic Acid)
- PCL
Poly-ε-Caprolactone
- PVA
Polyvinyl Alcohol
- PS
Polystyrene
- CAFs
Cancer-Associated Fibroblasts
- PCa-CSCs
Prostate Cancer Stem-Like Cells
- HUVECs
Human Umbilical Vein Endothelial Cells
- PEGDA
Poly(ethylene glycol Diacrylate
- H&E
Hematoxylin-Eosin
- RFP
Red Fluorescent Protein
Footnotes
Conflict of interest
The authors disclose that they have no conflict of interest.
References
- [1].Cox MC, Reese LM, Bickford LR, Verbridge SS. Toward the Broad Adoption of 3D Tumor Models in the Cancer Drug Pipeline. ACS Biomater Sci Eng. 2015;1:877–894. doi: 10.1021/acsbiomaterials.5b00172. [DOI] [PubMed] [Google Scholar]
- [2].Begley CG, Ellis LM. Drug development: Raise standards for preclinical cancer research. Nature. 2012;483:531–533. doi: 10.1038/483531a. [DOI] [PubMed] [Google Scholar]
- [3].Stock K, Estrada MF, Vidic S, Gjerde K, Rudisch A, Santo VE, Barbier M, Blom S, Arundkar SC, Selvam I, Osswald A, et al. Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery. Sci Rep. 2016;6 doi: 10.1038/srep28951. 28951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Chwalek K, Bray LJ, Werner C. Tissue-engineered 3D tumor angiogenesis models: Potential technologies for anti-cancer drug discovery. Adv Drug Deliv Rev. 2014;79:30–39. doi: 10.1016/j.addr.2014.05.006. [DOI] [PubMed] [Google Scholar]
- [5].Fong ELS, Harrington DA, Farach-Carson MC, Yu H. Heralding a new paradigm in 3D tumor modeling. Biomaterials. 2016;108:197–213. doi: 10.1016/j.biomaterials.2016.08.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Friedrich J, Seidel C, Ebner R, Kunz-Schughart LA. Spheroid-based drug screen: considerations and practical approach. Nat Protoc. 2009;4:309–324. doi: 10.1038/nprot.2008.226. [DOI] [PubMed] [Google Scholar]
- [7].Hickman JA, Graeser R, de Hoogt R, Vidic S, Brito C, Gutekunst M, van der Kuip H, Imi Predect consortium Three-dimensional models of cancer for pharmacology and cancer cell biology: Capturing tumor complexity in vitro/ex vivo. Biotechnol J. 2014;9:1115–1128. doi: 10.1002/biot.201300492. [DOI] [PubMed] [Google Scholar]
- [8].Katt ME, Placone AL, Wong AD, Xu ZS, Searson PC. In Vitro Tumor Models: Advantages, Disadvantages, Variables, and Selecting the Right Platform. Front Bioeng Biotechnol. 2016;4:12. doi: 10.3389/fbioe.2016.00012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Chatzinikolaidou M. Cell spheroids: the new frontiers in in vitro models for cancer drug validation. Drug Discov Today. 2016;21:1553–1560. doi: 10.1016/j.drudis.2016.06.024. [DOI] [PubMed] [Google Scholar]
- [10].Dittmer A, Hohlfeld K, Lützkendorf J, Müller LP, Dittmer J. Human mesenchymal stem cells induce E-cadherin degradation in breast carcinoma spheroids by activating ADAM10. Cell Mol Life Sci. 2009;66:3053–3065. doi: 10.1007/s00018-009-0089-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Karlsson H, Fryknäs M, Larsson R, Nygren P. Loss of cancer drug activity in colon cancer HCT-116 cells during spheroid formation in a new 3-D spheroid cell culture system. Exp Cell Res. 2012;318:1577–1585. doi: 10.1016/j.yexcr.2012.03.026. [DOI] [PubMed] [Google Scholar]
- [12].Beckermann BM, Kallifatidis G, Groth A, Frommhold D, Apel A, Mattern J, Salnikov AV, Moldenhauer G, Wagner W, Diehlmann A, Saffrich R, et al. VEGF expression by mesenchymal stem cells contributes to angiogenesis in pancreatic carcinoma. Br J Cancer. 2008;99:622–631. doi: 10.1038/sj.bjc.6604508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Han H-W, Hsu S. Chitosan-hyaluronan based 3D co-culture platform for studying the crosstalk of lung cancer cells and mesenchymal stem cells. Acta Biomater. 2016;42:157–167. doi: 10.1016/j.actbio.2016.06.014. [DOI] [PubMed] [Google Scholar]
- [14].Pickup MW, Mouw JK, Weaver VM. The extracellular matrix modulates the hallmarks of cancer. EMBO Rep. 2014;15:1243–1253. doi: 10.15252/embr.201439246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Klemm F, Joyce JA. Microenvironmental regulation of therapeutic response in cancer. Trends Cell Biol. 2015;25:198–213. doi: 10.1016/j.tcb.2014.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Kang AR, Park JS, Ju J, Jeong GS, Lee SH. Cell encapsulation via microtechnologies. Biomaterials. 2014;35:2651–2663. doi: 10.1016/j.biomaterials.2013.12.073. [DOI] [PubMed] [Google Scholar]
- [17].Ahrens CC, Dong Z, Li W. Engineering Cell Aggregates through Incorporated Polymeric Microparticles. Acta Biomater. 2017;62:64–81. doi: 10.1016/j.actbio.2017.08.003. [DOI] [PubMed] [Google Scholar]
- [18].Correia CR, Pirraco RP, Cerqueira MT, Marques AP, Reis RL, Mano JF. Semipermeable capsules wrapping a multifunctional and self-regulated co-culture microenvironment for osteogenic differentiation. Sci Rep. 2016;6:1–12. doi: 10.1038/srep21883. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Thiele J, Ma Y, Bruekers SMC, Ma S, Huck WTS. 25th anniversary article: Designer hydrogels for cell cultures: A materials selection guide. Adv Mater. 2014;26:125–148. doi: 10.1002/adma.201302958. [DOI] [PubMed] [Google Scholar]
- [20].Zanoni M, Piccinini F, Arienti C, Zamagni A, Santi S, Polico R, Bevilacqua A, Tesei A. 3D tumor spheroid models for in vitro therapeutic screening: A systematic approach to enhance the biological relevance of data obtained. Sci Rep. 2016;6 doi: 10.1038/srep19103. 19103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Lee J, Abdeen AA, Wycislo KL, Fan TM, Kilian KA. Interfacial geometry dictates cancer cell tumorigenicity. Nat Mater. 2016;15:856–862. doi: 10.1038/nmat4610. [DOI] [PubMed] [Google Scholar]
- [22].Costa EC, Moreira AF, de Melo-Diogo D, Gaspar VM, Carvalho MP, Correia IJ. 3D tumor spheroids: an overview on the tools and techniques used for their analysis. Biotechnol Adv. 2016;34:1427–1441. doi: 10.1016/j.biotechadv.2016.11.002. [DOI] [PubMed] [Google Scholar]
- [23].Vulcano F, Milazzo L, Ciccarelli C, Eramo A, Sette G, Mauro A, Macioce G, Martinelli A, La Torre R, Casalbore P, Hassan HJ, et al. Wharton’s jelly mesenchymal stromal cells have contrasting effects on proliferation and phenotype of cancer stem cells from different subtypes of lung cancer. Exp Cell Res. 2016;345:190–198. doi: 10.1016/j.yexcr.2016.06.003. [DOI] [PubMed] [Google Scholar]
- [24].Rayahin JE, Buhrman JS, Zhang Y, Koh TJ, Gemeinhart RA. High and Low Molecular Weight Hyaluronic Acid Differentially Influence Macrophage Activation. ACS Biomater Sci Eng. 2015;1:481–493. doi: 10.1021/acsbiomaterials.5b00181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Murdoch C, Muthana M, Coffelt SB, Lewis CE. The role of myeloid cells in the promotion of tumour angiogenesis. Nat Rev Cancer. 2008;8:618–631. doi: 10.1038/nrc2444. [DOI] [PubMed] [Google Scholar]
- [26].Chaturvedi P, Gilkes DM, Takano N, Semenza GL. Hypoxia-inducible factor-dependent signaling between triple-negative breast cancer cells and mesenchymal stem cells promotes macrophage recruitment. Proc Natl Acad Sci. 2014;111:E2120–E2129. doi: 10.1073/pnas.1406655111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Astashkina A, Grainger DW. Critical analysis of 3-D organoid in vitro cell culture models for high-throughput drug candidate toxicity assessments. Adv Drug Deliv Rev. 2014;69–70:1–18. doi: 10.1016/j.addr.2014.02.008. [DOI] [PubMed] [Google Scholar]
- [28].Alemany-Ribes M, Semino CE. Bioengineering 3D environments for cancer models. Adv Drug Deliv Rev. 2014;79:40–49. doi: 10.1016/j.addr.2014.06.004. [DOI] [PubMed] [Google Scholar]
- [29].Estrada MF, Rebelo SP, Davies EJ, Pinto MT, Pereira H, Santo VE, Smalley MJ, Barry ST, Gualda EJ, Alves PM, Anderson E, et al. Modelling the tumour microenvironment in long-term microencapsulated 3D co-cultures recapitulates phenotypic features of disease progression. Biomaterials. 2016;78:50–61. doi: 10.1016/j.biomaterials.2015.11.030. [DOI] [PubMed] [Google Scholar]
- [30].Sasser AK, Mundy BL, Smith KM, Studebaker AW, Axel AE, Haidet AM, Fernandez SA, Hall BM. Human bone marrow stromal cells enhance breast cancer cell growth rates in a cell line-dependent manner when evaluated in 3D tumor environments. Cancer Lett. 2007;254:255–264. doi: 10.1016/j.canlet.2007.03.012. [DOI] [PubMed] [Google Scholar]
- [31].Ivascu A, Kubbies M. Rapid Generation of Single-Tumor Spheroids for High-Throughput Cell Function and Toxicity Analysis. J Biomol Screen. 2006;11:922–932. doi: 10.1177/1087057106292763. [DOI] [PubMed] [Google Scholar]
- [32].Foty R. A Simple Hanging Drop Cell Culture Protocol for Generation of 3D Spheroids. J Vis Exp. 2011;20:4–7. doi: 10.3791/2720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [33].Neto AI, Correia CR, Custõdio CA, Mano JF. Biomimetic miniaturized platform able to sustain arrays of liquid droplets for high-throughput combinatorial tests. Adv Funct Mater. 2014;24:5096–5103. doi: 10.1002/adfm.201400503. [DOI] [Google Scholar]
- [34].Dangles-Marie V, Pocard M, Richon S, Weiswald LB, Assayag F, Saulnier P, Judde JG, Janneau JL, Auger N, Validire P, Dutrillaux B, et al. Establishment of human colon cancer cell lines from fresh tumors versus xenografts: Comparison of success rate and cell line features. Cancer Res. 2007;67:398–407. doi: 10.1158/0008-5472.CAN-06-0594. [DOI] [PubMed] [Google Scholar]
- [35].Breslin S, O’Driscoll L. Three-dimensional cell culture: The missing link in drug discovery. Drug Discov Today. 2013;18:240–249. doi: 10.1016/j.drudis.2012.10.003. [DOI] [PubMed] [Google Scholar]
- [36].Weiswald LB, Bellet D, Dangles-Marie V. Spherical cancer models in tumor biology. Neoplasia. 2015;17:1–15. doi: 10.1016/j.neo.2014.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Sung SY, Hsieh CL, Law A, Zhau HE, Pathak S, Multani AS, Lim S, Coleman IM, Wu LC, Figg WD, Dahut WL, et al. Coevolution of prostate cancer and bone stroma in three-dimensional coculture: Implications for cancer growth and metastasis. Cancer Res. 2008;68:9996–10003. doi: 10.1158/0008-5472.CAN-08-2492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [38].Sutherland RM, Mccredie JA. Growth of Multicell Spheroids in Tissue Culture as a Model of Nodular Carcinomas. JNCI J Natl Cancer Inst. 1971:113–120. [PubMed] [Google Scholar]
- [39].Tung Y-C, Hsiao AY, Allen SG, Torisawa Y, Ho M, Takayama S. High-throughput 3D spheroid culture and drug testing using a 384 hanging drop array. Analyst. 2011;136:473–478. doi: 10.1039/c0an00609b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [40].Amaral RLF, Miranda M, Marcato PD, Swiech K. Comparative analysis of 3D bladder tumor spheroids obtained by forced floating and hanging drop methods for drug screening. Front Physiol. 2017;8 doi: 10.3389/fphys.2017.00605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Gencoglu MF, Barney LE, Hall CL, Brooks EA, Schwartz AD, Corbett DC, Stevens KR, Peyton SR. Comparative Study of Multicellular Tumor Spheroid Formation Methods and Implications for Drug Screening. ACS Biomater Sci Eng. 2017 doi: 10.1021/acsbiomaterials.7b00069. acsbiomaterials.7b00069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Rodday B, Hirschhaeuser F, Walenta S, Mueller-Klieser W. Semiautomatic Growth Analysis of Multicellular Tumor Spheroids. J Biomol Screen. 2011;16:1119–1124. doi: 10.1177/1087057111419501. [DOI] [PubMed] [Google Scholar]
- [43].Oliveira MB, Salgado CL, Song W, Mano JF. Combinatorial on-chip study of miniaturized 3D porous scaffolds using a patterned superhydrophobic platform. Small. 2013;9:768–778. doi: 10.1002/smll.201201436. [DOI] [PubMed] [Google Scholar]
- [44].Neto AI, Correia CR, Oliveira MB, Rial-Hermida MI, Alvarez-Lorenzo C, Reis RL, Mano JF. A novel hanging spherical drop system for the generation of cellular spheroids and high throughput combinatorial drug screening. Biomater Sci. 2015;3:581–585. doi: 10.1039/c4bm00411f. [DOI] [PubMed] [Google Scholar]
- [45].Timmins NE, Nielsen LK. Generation of multicellular tumor spheroids by the hanging-drop method. Methods Mol Med. 2007;140:141–151. doi: 10.1007/978-1-59745-443-8_8. [DOI] [PubMed] [Google Scholar]
- [46].Majety M, Pradel LP, Gies M, Ries CH. Fibroblasts influence survival and therapeutic response in a 3D co-culture model. PLoS One. 2015;10:1–18. doi: 10.1371/journal.pone.0127948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [47].Oskarsson T, Acharyya S, Zhang XHF, Vanharanta S, Tavazoie SF, Morris PG, Downey RJ, Manova-Todorova K, Brogi E, Massagué J. Breast cancer cells produce tenascin C as a metastatic niche component to colonize the lungs. Nat Med. 2011;17:867–874. doi: 10.1038/nm.2379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [48].Barzegari A, Saei AA. An update to space biomedical research: Tissue engineering in microgravity bioreactors. BioImpacts. 2012;2:23–32. doi: 10.5681/bi.2012.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Picollet-D’hahan N, Dolega ME, Liguori L, Marquette C, Le Gac S, Gidrol X, Martin DK. A 3D Toolbox to Enhance Physiological Relevance of Human Tissue Models. Trends Biotechnol. 2016;34:757–769. doi: 10.1016/j.tibtech.2016.06.012. [DOI] [PubMed] [Google Scholar]
- [50].Granet C, Laroche N, Vico L, Alexandre C, Lafage-Proust MH. Rotating-wall vessels, promising bioreactors for osteoblastic cell culture: Comparison with other 3D conditions. Med Biol Eng Comput. 1998;36:513–519. doi: 10.1007/BF02523224. [DOI] [PubMed] [Google Scholar]
- [51].Kimlin LC, Casagrande G, Virador VM. In vitro three-dimensional (3D) models in cancer research: An update. Mol Carcinog. 2013;52:167–182. doi: 10.1002/mc.21844. [DOI] [PubMed] [Google Scholar]
- [52].Villasante A, Vunjak-Novakovic G. Tissue-engineered models of human tumors for cancer research. Expert Opin Drug Discov. 2015;10:257–268. doi: 10.1517/17460441.2015.1009442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Massai D, Isu G, Madeddu D, Cerino G, Falco A, Frati C, Gallo D, Deriu MA, Labate GFDU, Quaini F, Audenino A, et al. A versatile bioreactor for dynamic suspension cell culture. Application to the culture of cancer cell spheroids. PLoS One. 2016;11:1–16. doi: 10.1371/journal.pone.0154610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [54].Hirschhaeuser F, Leidig T, Rodday B, Lindemann C, Mueller-Klieser W. Test system for trifunctional antibodies in 3D MCTS culture. J Biomol Screen Off J Soc Biomol Screen. 2009;14:980–990. doi: 10.1177/1087057109341766. [DOI] [PubMed] [Google Scholar]
- [55].Ferrarini M, Steimberg N, Ponzoni M, Belloni D, Berenzi A, Girlanda S, Caligaris-Cappio F, Mazzoleni G, Ferrero E. Ex-Vivo Dynamic 3-D Culture of Human Tissues in the RCCS™ Bioreactor Allows the Study of Multiple Myeloma Biology and Response to Therapy. PLoS One. 2013;8:1–10. doi: 10.1371/journal.pone.0071613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Hsiao AY, Tung YC, Qu X, Patel LR, Pienta KJ, Takayama S. 384 hanging drop arrays give excellent Z-factors and allow versatile formation of co-culture spheroids. Biotechnol Bioeng. 2012;109:1293–1304. doi: 10.1002/bit.24399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [57].Oliveira MB, Neto AI, Correia CR, Rial-Hermida MI, Alvarez-Lorenzo C, Mano JF. Superhydrophobic chips for cell spheroids high-throughput generation and drug screening. ACS Appl Mater Interfaces. 2014;6:9488–9495. doi: 10.1021/am5018607. [DOI] [PubMed] [Google Scholar]
- [58].Oliveira NM, Martins-Cruz C, Oliveira MB, Reis RL, Mano JF. Coculture of Spheroids/2D Cell Layers Using a Miniaturized Patterned Platform as a Versatile Method to Produce Scaffold-Free Tissue Engineering Building Blocks. Adv Biosyst. 2017:1700069. doi: 10.1002/adbi.201700069. 1700069. [DOI] [Google Scholar]
- [59].Correia AL, Bissell MJ. The tumor microenvironment is a dominant force in multidrug resistance. Drug Resist Updat. 2012;15:39–49. doi: 10.1016/j.drup.2012.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [60].Rozario T, DeSimone DW. The extracellular matrix in development and morphogenesis: A dynamic view. Dev Biol. 2010;341:126–140. doi: 10.1016/j.ydbio.2009.10.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Barcus CE, O’Leary KA, Brockman JL, Rugowski DE, Liu Y, Garcia N, Yu M, Keely PJ, Eliceiri KW, Schuler LA. Elevated collagen-I augments tumor progressive signals, intravasation and metastasis of prolactin-induced estrogen receptor alpha positive mammary tumor cells. Breast Cancer Res. 2017;19:9. doi: 10.1186/s13058-017-0801-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [62].Stern R. Hyaluronidases in Cancer Biology. Hyaluronan Cancer Biol. 2009;18:207–220. doi: 10.1016/B978-012374178-3.10012-2. [DOI] [PubMed] [Google Scholar]
- [63].Wu M, Cao M, He Y, Liu Y, Yang C, Du Y, Wang W, Gao F. A novel role of low molecular weight hyaluronan in breast cancer metastasis. FASEB J. 2015;29:1290–1298. doi: 10.1096/fj.14-259978. [DOI] [PubMed] [Google Scholar]
- [64].Misra S, Hascall VC, Markwald RR, Ghatak S. Interactions between hyaluronan and its receptors (CD44, RHAMM) regulate the activities of inflammation and cancer. Front Immunol. 2015;6 doi: 10.3389/fimmu.2015.00201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [65].Gandavarapu NR, Azagarsamy MA, Anseth KS. Photo-click living strategy for controlled, reversible exchange of biochemical ligands. Adv Mater. 2014;26:2521–2526. doi: 10.1002/adma.201304847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [66].Rosales AM, Vega SL, DelRio FW, Burdick JA, Anseth KS. Hydrogels with Reversible Mechanics to Probe Dynamic Cell Microenvironments. Angew Chemie - Int Ed. 2017;56:12132–12136. doi: 10.1002/anie.201705684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [67].Conklin MW, Eickhoff JC, Riching KM, Pehlke CA, Eliceiri KW, Provenzano PP, Friedl A, Keely PJ. Aligned collagen is a prognostic signature for survival in human breast carcinoma. Am J Pathol. 2011;178:1221–1232. doi: 10.1016/j.ajpath.2010.11.076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [68].Kumar S. Cellular mechanotransduction: Stiffness does matter. Nat Mater. 2014;13:918–920. doi: 10.1038/nmat4094. [DOI] [PubMed] [Google Scholar]
- [69].Riching KM, Cox BL, Salick MR, Pehlke C, Riching AS, Ponik SM, Bass BR, Crone WC, Jiang Y, Weaver AM, Eliceiri KW, et al. 3D collagen alignment limits protrusions to enhance breast cancer cell persistence. Biophys J. 2015;107:2546–2558. doi: 10.1016/j.bpj.2014.10.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [70].Chen L, Xiao Z, Meng Y, Zhao Y, Han J, Su G, Chen B, Dai J. The enhancement of cancer stem cell properties of MCF-7 cells in 3D collagen scaffolds for modeling of cancer and anti-cancer drugs. Biomaterials. 2012;33:1437–1444. doi: 10.1016/j.biomaterials.2011.10.056. [DOI] [PubMed] [Google Scholar]
- [71].Lü WD, Zhang L, Wu CL, Liu ZG, Lei GY, Liu J, Gao W, Hu YR. Development of an acellular tumor extracellular matrix as a three-dimensional scaffold for tumor engineering. PLoS One. 2014;9 doi: 10.1371/journal.pone.0103672. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [72].Benton G, Kleinman HK, George J, Arnaoutova I. Multiple uses of basement membrane-like matrix (BME/Matrigel) in vitro and in vivo with cancer cells. Int J Cancer. 2011;128:1751–1757. doi: 10.1002/ijc.25781. [DOI] [PubMed] [Google Scholar]
- [73].Croll TI, O’Connor AJ, Stevens GW, Cooper-White JJ. A blank slate? Layer-by-layer deposition of hyaluronic acid and chitosan onto various surfaces. Biomacromolecules. 2006;7:1610–1622. doi: 10.1021/bm060044l. [DOI] [PubMed] [Google Scholar]
- [74].Gurski LA, Jha AK, Zhang C, Jia X, Farach-Carson MC. Hyaluronic acid-based hydrogels as 3D matrices for in vitro evaluation of chemotherapeutic drugs using poorly adherent prostate cancer cells. Biomaterials. 2009;30:6076–6085. doi: 10.1016/j.biomaterials.2009.07.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [75].Arya N, Sardana V, Saxena M, Rangarajan A, Katti DS. Recapitulating tumour microenvironment in chitosan-gelatin three-dimensional scaffolds: an improved in vitro tumour model. J R Soc Interface. 2012;9:3288–3302. doi: 10.1098/rsif.2012.0564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [76].Xing Q, Zhao F, Chen S, McNamara J, DeCoster MA, Lvov YM. Porous biocompatible three-dimensional scaffolds of cellulose microfiber/gelatin composites for cell culture. Acta Biomater. 2010;6:2132–2139. doi: 10.1016/j.actbio.2009.12.036. [DOI] [PubMed] [Google Scholar]
- [77].Xiong G, Flynn TJ, Chen J, Trinkle C, Xu R. Development of an ex vivo breast cancer lung colonization model utilizing a decellularized lung matrix. Integr Biol. 2015;7:1518–1525. doi: 10.1039/c5ib00157a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [78].Hoshiba T, Tanaka M. Decellularized matrices as in vitro models of extracellular matrix in tumor tissues at different malignant levels: Mechanism of 5-fluorouracil resistance in colorectal tumor cells. Biochim Biophys Acta - Mol Cell Res. 2016;1863:2749–2757. doi: 10.1016/j.bbamcr.2016.08.009. [DOI] [PubMed] [Google Scholar]
- [79].Chen MCW, Gupta M, Cheung KC. Alginate-based microfluidic system for tumor spheroid formation and anticancer agent screening. Biomed Microdevices. 2010;12:647–654. doi: 10.1007/s10544-010-9417-2. [DOI] [PubMed] [Google Scholar]
- [80].Liu C, Liu Y, Xu X xi, Wu H, Xie H guo, Chen L, Lu T, Yang L, Guo X, Sun G wei, Wang W, et al. Potential effect of matrix stiffness on the enrichment of tumor initiating cells under three-dimensional culture conditions. Exp Cell Res. 2015;330:123–134. doi: 10.1016/j.yexcr.2014.07.036. [DOI] [PubMed] [Google Scholar]
- [81].Tsao CT, Kievit FM, Wang K, Erickson AE, Ellenbogen RG, Zhang M. Chitosan-based thermoreversible hydrogel as an in Vitro tumor microenvironment for testing breast cancer therapies. Mol Pharm. 2014;11:2134–2142. doi: 10.1021/mp5002119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [82].Wang K, Kievit FM, Florczyk SJ, Stephen ZR, Zhang M. 3D Porous Chitosan-Alginate Scaffolds as an in Vitro Model for Evaluating Nanoparticle-Mediated Tumor Targeting and Gene Delivery to Prostate Cancer. Biomacromolecules. 2015;16:3362–3372. doi: 10.1021/acs.biomac.5b01032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [83].Talukdar S, Kundu SC. A non-mulberry silk fibroin protein based 3D in vitro tumor model for evaluation of anticancer drug activity. Adv Funct Mater. 2012;22:4778–4788. doi: 10.1002/adfm.201200375. [DOI] [Google Scholar]
- [84].Talukdar S, Mandal M, Hutmacher DW, Russell PJ, Soekmadji C, Kundu SC. Engineered silk fibroin protein 3D matrices for in vitro tumor model. Biomaterials. 2011;32:2149–2159. doi: 10.1016/j.biomaterials.2010.11.052. [DOI] [PubMed] [Google Scholar]
- [85].Soman P, Kelber JA, Lee JW, Wright TN, Vecchio KS, Klemke RL, Chen S. Cancer cell migration within 3D layer-by-layer microfabricated photocrosslinked PEG scaffolds with tunable stiffness. Biomaterials. 2012;33:7064–7070. doi: 10.1016/j.biomaterials.2012.06.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [86].Sahoo SK, Panda AK, Labhasetwar V. Characterization of porous PLGA/PLA microparticles as a scaffold for three dimensional growth of breast cancer cells. Biomacromolecules. 2005;6:1132–1139. doi: 10.1021/bm0492632. [DOI] [PubMed] [Google Scholar]
- [87].Liu Z, Vunjak-Novakovic G. Modeling tumor microenvironments using custom-designed biomaterial scaffolds. Curr Opin Chem Eng. 2016;11:94–105. doi: 10.1016/j.coche.2016.01.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [88].Calimeri T, Battista E, Conforti F, Neri P, Di Martino MT, Rossi M, Foresta U, Piro E, Ferrara F, Amorosi A, Bahlis N, et al. A unique three-dimensional SCID-polymeric scaffold (SCID-synth-hu) model for in vivo expansion of human primary multiple myeloma cells. Leukemia. 2011;25:707–711. doi: 10.1038/leu.2010.300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [89].Rabionet M, Yeste M, Puig T, Ciurana J. Electrospinning PCL scaffolds manufacture for three-dimensional breast cancer cell culture. Polymers (Basel) 2017;9:1–15. doi: 10.3390/polym9080328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [90].Fischbach C, Kong HJ, Hsiong SX, Evangelista MB, Yuen W, Mooney DJ. Cancer cell angiogenic capability is regulated by 3D culture and integrin engagement. Proc Natl Acad Sci U S A. 2009;106:399–404. doi: 10.1073/pnas.0808932106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [91].Xu X, Farach-Carson MC, Jia X. Three-dimensional in vitro tumor models for cancer research and drug evaluation. Biotechnol Adv. 2014;32:1256–1268. doi: 10.1016/j.biotechadv.2014.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [92].Orgovan N, Peter B, Bosze S, Ramsden JJ, Szabó B, Horvath R. Dependence of cancer cell adhesion kinetics on integrin ligand surface density measured by a high-throughput label-free resonant waveguide grating biosensor. Sci Rep. 2014;4 doi: 10.1038/srep04034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [93].Maheshwari G, Brown G, Lauffenburger Da, Wells a, Griffith LG. Cell adhesion and motility depend on nanoscale RGD clustering. J Cell Sci. 2000;113(Pt 1):1677–1686. doi: 10.1242/jcs.113.10.1677. [DOI] [PubMed] [Google Scholar]
- [94].Pradhan S, Clary JM, Seliktar D, Lipke EA. A three-dimensional spheroidal cancer model based on PEG-fibrinogen hydrogel microspheres. Biomaterials. 2017;115:141–154. doi: 10.1016/j.biomaterials.2016.10.052. [DOI] [PubMed] [Google Scholar]
- [95].Pradhan S, Hassani I, Seeto WJ, Lipke EA. PEG-fibrinogen hydrogels for three-dimensional breast cancer cell culture. J Biomed Mater Res - Part A. 2017;105:236–252. doi: 10.1002/jbm.a.35899. [DOI] [PubMed] [Google Scholar]
- [96].Lou J, Stowers R, Nam S, Xia Y, Chaudhuri O. Stress relaxing hyaluronic acid-collagen hydrogels promote cell spreading, fiber remodeling, and focal adhesion formation in 3D cell culture. Biomaterials. 2018;154:213–222. doi: 10.1016/j.biomaterials.2017.11.004. [DOI] [PubMed] [Google Scholar]
- [97].Mehr NG, Li X, Chen G, Favis BD, Hoemann CD. Pore size and LbL chitosan coating influence mesenchymal stem cell in vitro fibrosis and biomineralization in 3D porous poly(epsilon-caprolactone) scaffolds. J Biomed Mater Res - Part A. 2015;103:2449–2459. doi: 10.1002/jbm.a.35381. [DOI] [PubMed] [Google Scholar]
- [98].Lee HWHJHW, Kook Y-M, Lee HWHJHW, Park H, Koh W-G. A three-dimensional co-culture of HepG2 spheroids and fibroblasts using double-layered fibrous scaffolds incorporated with hydrogel micropatterns. RSC Adv. 2014;4:61005–61011. doi: 10.1039/C4RA12269K. [DOI] [Google Scholar]
- [99].Samavedi S, Joy N. 3D printing for the development of in vitro cancer models. Curr Opin Biomed Eng. 2017;2:35–42. doi: 10.1016/j.cobme.2017.06.003. [DOI] [Google Scholar]
- [100].Xu F, Celli J, Rizvi I, Moon S, Hasan T, Demirci U. A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform. Biotechnol J. 2011;6:204–212. doi: 10.1002/biot.201000340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [101].Caliari SR, Burdick JA. A practical guide to hydrogels for cell culture. Nat Methods. 2016;13:405–414. doi: 10.1038/nmeth.3839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [102].Zhang YS, Khademhosseini A. Advances in engineering hydrogels. Science (80-. ) 2017;356:eaaf3627. doi: 10.1126/science.aaf3627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [103].Webber MJ, Khan OF, Sydlik SA, Tang BC, Langer R. A Perspective on the Clinical Translation of Scaffolds for Tissue Engineering. Ann Biomed Eng. 2015;43:641–656. doi: 10.1007/s10439-014-1104-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [104].Kleinman HK, Martin GR. Matrigel: Basement membrane matrix with biological activity. Semin Cancer Biol. 2005;15:378–386. doi: 10.1016/j.semcancer.2005.05.004. [DOI] [PubMed] [Google Scholar]
- [105].Li L, LaBarbera DV. 3D High-Content Screening of Organoids for Drug Discovery. Compr Med Chem III. 2017:388–415. doi: 10.1016/B978-0-12-409547-2.12329-7. [DOI] [Google Scholar]
- [106].Baker LA, Tiriac H, Clevers H, Tuveson DA. Modeling Pancreatic Cancer with Organoids. Trends in Cancer. 2016;2:176–190. doi: 10.1016/j.trecan.2016.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [107].Li L, Lu Y. Optimizing a 3D culture system to study the interaction between epithelial breast cancer and its surrounding fibroblasts. J Cancer. 2011;2:458–466. doi: 10.7150/jca.2.458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [108].Badylak SF, Freytes DO, Gilbert TW. Reprint of: Extracellular matrix as a biological scaffold material: Structure and function. Acta Biomater. 2015;23:S17–S26. doi: 10.1016/j.actbio.2015.07.016. [DOI] [PubMed] [Google Scholar]
- [109].Pampaloni F, Reynaud EG, Stelzer EHK. The third dimension bridges the gap between cell culture and live tissue. Nat Rev Mol Cell Biol. 2007;8:839–845. doi: 10.1038/nrm2236. [DOI] [PubMed] [Google Scholar]
- [110].Nyga A, Cheema U, Loizidou M. 3D tumour models: Novel in vitro approaches to cancer studies. J Cell Commun Signal. 2011;5:239–248. doi: 10.1007/s12079-011-0132-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [111].Sieminski AL, Mackellar D, Gong H, Kamm RD, Wells A, Lauffenburger DA, Zaman MH, Trapani LM, Sieminski AL, Mackellar D, Gong H, et al. Migration of tumor cells in 3D matrices is governed by matrix stiffness along with cell-matrix adhesion and proteolysis. Proc Natl Acad Sci. 2006;103:13897–13897. doi: 10.1073/pnas.0604460103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [112].Fraley SI, Wu P, He L, Feng Y, Krisnamurthy R, Longmore GD, Wirtz D. Three-dimensional matrix fiber alignment modulates cell migration and MT1-MMP utility by spatially and temporally directing protrusions. Sci Rep. 2015;5:14580. doi: 10.1038/srep14580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [113].Kievit FM, Cooper A, Jana S, Leung MC, Wang K, Edmondson D, Wood D, Lee JSH, Ellenbogen RG, Zhang M. Aligned Chitosan-Polycaprolactone Polyblend Nanofibers Promote the Migration of Glioblastoma Cells. Adv Healthc Mater. 2013;2:1651–1659. doi: 10.1002/adhm.201300092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [114].Kievit FM, Wang K, Erickson AE, Lan Levengood SK, Ellenbogen RG, Zhang M. Modeling the tumor microenvironment using chitosan-alginate scaffolds to control the stem-like state of glioblastoma cells. Biomater Sci. 2016;4:610–613. doi: 10.1039/c5bm00514k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [115].Moreau JE, Anderson K, Mauney JR, Nguyen T, Kaplan DL, Rosenblatt M. Tissue-engineered bone serves as a target for metastasis of human breast cancer in a mouse model. Cancer Res. 2007;67:10304–10308. doi: 10.1158/0008-5472.CAN-07-2483. [DOI] [PubMed] [Google Scholar]
- [116].Talukdar S, Kundu SC. Engineered 3D silk-based metastasis models: Interactions between human breast adenocarcinoma, mesenchymal stem cells and osteoblast-like cells. Adv Funct Mater. 2013;23:5249–5260. doi: 10.1002/adfm.201300312. [DOI] [Google Scholar]
- [117].Tan PHS, Aung KZ, Toh SL, Goh JCH, Nathan SS. Three-dimensional porous silk tumor constructs in the approximation of in vivo osteosarcoma physiology. Biomaterials. 2011;32:6131–6137. doi: 10.1016/j.biomaterials.2011.04.084. [DOI] [PubMed] [Google Scholar]
- [118].Seib FP, Berry JE, Shiozawa Y, Taichman RS, Kaplan DL. Tissue engineering a surrogate niche for metastatic cancer cells. Biomaterials. 2015;51:313–319. doi: 10.1016/j.biomaterials.2015.01.076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [119].Ragelle H, Naba A, Larson BL, Zhou F, Prijic M, Whittaker CA, Del Rosario A, Langer R, Hynes RO, Anderson DG. Comprehensive proteomic characterization of stem cell-derived extracellular matrices. Biomaterials. 2017;128:147–159. doi: 10.1016/j.biomaterials.2017.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [120].Rijal G, Li W. A versatile 3D tissue matrix scaffold system for tumor modeling and drug screening. Sci Adv. 2017;3:1–17. doi: 10.1126/sciadv.1700764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [121].Worthington P, Pochan DJ, Langhans SA. Peptide Hydrogels – Versatile Matrices for 3D Cell Culture in Cancer Medicine. Front Oncol. 2015;5:92. doi: 10.3389/fonc.2015.00092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [122].Wang F, Li Y, Shen Y, Wang A, Wang S, Xie T. The functions and applications of RGD in tumor therapy and tissue engineering. Int J Mol Sci. 2013;14:13447–13462. doi: 10.3390/ijms140713447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [123].Lu T, Li Y, Chen T. Techniques for fabrication and construction of three-dimensional scaffolds for tissue engineering. Int J Nanomedicine. 2013;8:337–350. doi: 10.2147/IJN.S38635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [124].Shen Y-I, Abaci HE, Krupski Y, Weng L-C, Burdick JA, Gerecht S. Hyaluronic acid hydrogel stiffness and oxygen tension affect cancer cell fate and endothelial sprouting. Biomater Sci. 2014;2:655. doi: 10.1039/C3BM60274E. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [125].Imparato G, Urciuolo F, Casale C, Netti PA. The role of microscaffold properties in controlling the collagen assembly in 3D dermis equivalent using modular tissue engineering. Biomaterials. 2013;34:7851–7861. doi: 10.1016/j.biomaterials.2013.06.062. [DOI] [PubMed] [Google Scholar]
- [126].Fang M, Yuan J, Peng C, Li Y. Collagen as a double-edged sword in tumor progression. Tumor Biol. 2014;35:2871–2882. doi: 10.1007/s13277-013-1511-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [127].Stewart DA, Cooper CR, Sikes RA. Changes in extracellular matrix (ECM) and ECM-associated proteins in the metastatic progression of prostate cancer. Reprod Biol Endocrinol. 2004;2:2. doi: 10.1186/1477-7827-2-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [128].Carvalho MP, Costa EC, Miguel SP, Correia IJ. Tumor spheroid assembly on hyaluronic acid-based structures: A review. Carbohydr Polym. 2016;150:139–148. doi: 10.1016/j.carbpol.2016.05.005. [DOI] [PubMed] [Google Scholar]
- [129].Becker JC, Andersen MH, Schrama D, Thor Straten P. Immune-suppressive properties of the tumor microenvironment. Cancer Immunol Immunother. 2013;62:1137–1148. doi: 10.1007/s00262-013-1434-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [130].Adamia S, Pilarski PM, Belch AR, Pilarski LM. Aberrant Splicing, Hyaluronan Synthases and Intracellular Hyaluronan as Drivers of Oncogenesis and Potential Drug Targets. Curr Cancer Drug Targets. 2013;13:347–361. doi: 10.2174/1568009611313040001. [DOI] [PubMed] [Google Scholar]
- [131].Stern R. Hyaluronan metabolism: A major paradox in cancer biology. Pathol Biol. 2005;53:372–382. doi: 10.1016/j.patbio.2004.12.021. [DOI] [PubMed] [Google Scholar]
- [132].Pradhan S, Hassani I, Clary JM, Lipke EA. Polymeric Biomaterials for In Vitro Cancer Tissue Engineering and Drug Testing Applications. Tissue Eng Part B Rev. 2016;22:470–484. doi: 10.1089/ten.TEB.2015.0567. [DOI] [PubMed] [Google Scholar]
- [133].Xu X xi, Liu C, Liu Y, Li N, Guo X, Wang S jun, Sun G wei, Wang W, Ma X jun. Encapsulated human hepatocellular carcinoma cells by alginate gel beads as an in vitro metastasis model. Exp Cell Res. 2013;319:2135–2144. doi: 10.1016/j.yexcr.2013.05.013. [DOI] [PubMed] [Google Scholar]
- [134].Correia CR, Sher P, Reis RL, Mano JF. Liquified chitosan–alginate multilayer capsules incorporating poly(l-lactic acid) microparticles as cell carriers. Soft Matter. 2013;9:2125–2130. doi: 10.1039/C2SM26784E. [DOI] [Google Scholar]
- [135].Wu Z, Su X, Xu Y, Kong B, Sun W, Mi S. Bioprinting three-dimensional cell-laden tissue constructs with controllable degradation. Sci Rep. 2016;6:1–10. doi: 10.1038/srep24474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [136].Kim I-Y, Seo S-J, Moon H-S, Yoo M-K, Park I-Y, Kim B-C, Cho C-S. Chitosan and its derivatives for tissue engineering applications. Biotechnol Adv. 2008;26:1–21. doi: 10.1016/j.biotechadv.2007.07.009. [DOI] [PubMed] [Google Scholar]
- [137].Kievit FM, Florczyk SJ, Leung MC, Veiseh O, Park JO, Disis ML, Zhang M. Chitosan-alginate 3D scaffolds as a mimic of the glioma tumor microenvironment. Biomaterials. 2010;31:5903–5910. doi: 10.1016/j.biomaterials.2010.03.062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [138].Kievit FM, Florczyk SJ, Leung MC, Wang K, Wu JD, Silber JR, Ellenbogen RG, Lee JSH, Zhang M. Proliferation and enrichment of CD133+ glioblastoma cancer stem cells on 3D chitosan-alginate scaffolds. Biomaterials. 2014;35:9137–9143. doi: 10.1016/j.biomaterials.2014.07.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [139].Yu D, Li S, Wang S, Li X, Zhu M, Huang S, Sun L, Zhang Y, Liu Y, Wang S. Development and characterization of VEGF165-chitosan nanoparticles for the treatment of radiation-induced skin injury in rats. Mar Drugs. 2016;14 doi: 10.3390/md14100182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [140].Park YJ, Kim KH, Lee JY, Ku Y, Lee SJ, Min BM, Chung CP. Immobilization of bone morphogenetic protein-2 on a nanofibrous chitosan membrane for enhanced guided bone regeneration. Biotechnol Appl Biochem. 2006;43:17. doi: 10.1042/BA20050075. [DOI] [PubMed] [Google Scholar]
- [141].Bray LJ, Suzuki S, Harkin DG, Chirila TV. Incorporation of Exogenous RGD Peptide and Inter-Species Blending as Strategies for Enhancing Human Corneal Limbal Epithelial Cell Growth on Bombyx mori Silk Fibroin Membranes. 2013;4:74–88. doi: 10.3390/jfb4020074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [142].Salamanna F, Contartese D, Maglio M, Fini M. A systematic review on in vitro 3D bone metastases models: A new horizon to recapitulate the native clinical scenario? Oncotarget. 2016;7:44803–44820. doi: 10.18632/oncotarget.8394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [143].Gill BJ, Gibbons DL, Roudsari LC, Saik JE, Rizvi ZH, Roybal JD, Kurie JM, West JL. A synthetic matrix with independently tunable biochemistry and mechanical properties to study epithelial morphogenesis and EMT in a lung adenocarcinoma model. Cancer Res. 2012;72:6013–6023. doi: 10.1158/0008-5472.CAN-12-0895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [144].Ravi M, Paramesh V, Kaviya SR, Anuradha E, Paul Solomon FD. 3D cell culture systems: Advantages and applications. J Cell Physiol. 2015;230:16–26. doi: 10.1002/jcp.24683. [DOI] [PubMed] [Google Scholar]
- [145].Eap S, Ferrand A, Machi V, Ball V, Huck O, Benkirane-Jessel N. Polydopamine Particles Effect on Melanoma Cells Proliferation and Melanin Secretion. Adv Chem Eng Sci. 2013;03:1–10. doi: 10.4236/aces.2013.33A1001. [DOI] [Google Scholar]
- [146].Parajó Y, d’Angelo I, Welle A, Garcia-Fuentes M, Alonso MJ. Hyaluronic acid/Chitosan nanoparticles as delivery vehicles for VEGF and PDGF-BB. Drug Deliv. 2010;17:596–604. doi: 10.3109/10717544.2010.509357. [DOI] [PubMed] [Google Scholar]
- [147].Del Bufalo F, Manzo T, Hoyos V, Yagyu S, Caruana I, Jacot J, Benavides O, Rosen D, Brenner MK. 3D modeling of human cancer: A PEG-fibrin hydrogel system to study the role of tumor microenvironment and recapitulate the in vivo effect of oncolytic adenovirus. Biomaterials. 2016;84:76–85. doi: 10.1016/j.biomaterials.2016.01.030. [DOI] [PubMed] [Google Scholar]
- [148].Weiss MS, Bernabé BP, Shikanov A, Bluver DA, Mui MD, Shin S, Broadbelt LJ, Shea LD. The impact of adhesion peptides within hydrogels on the phenotype and signaling of normal and cancerous mammary epithelial cells. Biomaterials. 2012;33:3548–3559. doi: 10.1016/j.biomaterials.2012.01.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [149].Zhu J. Bioactive Modification of Poly(ethylenglykol) Hydrogels for Tissue Engineering. Biomaterials. 2010;31:4639–4656. doi: 10.1016/j.biomaterials.2010.02.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [150].Roudsari LC, Jeffs SE, Witt AS, Gill BJ, West JL. A 3D Poly(ethylene glycol)-based Tumor Angiogenesis Model to Study the Influence of Vascular Cells on Lung Tumor Cell Behavior. Sci Rep. 2016;6 doi: 10.1038/srep32726. 32726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [151].Zhu W, Wang M, Fu Y, Castro NJ, Fu SW, Zhang LG. Engineering a biomimetic three-dimensional nanostructured bone model for breast cancer bone metastasis study. Acta Biomater. 2015;14:164–174. doi: 10.1016/j.actbio.2014.12.008. [DOI] [PubMed] [Google Scholar]
- [152].Lu P, Weaver VM, Werb Z. The extracellular matrix: A dynamic niche in cancer progression. J Cell Biol. 2012;196:395–406. doi: 10.1083/jcb.201102147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [153].Hirt C, Papadimitropoulos A, Muraro MG, Mele V, Panopoulos E, Cremonesi E, Ivanek R, Schultz-Thater E, Droeser RA, Mengus C, Heberer M, et al. Bioreactor-engineered cancer tissue-like structures mimic phenotypes, gene expression profiles and drug resistance patterns observed “in vivo”. Biomaterials. 2015;62:138–146. doi: 10.1016/j.biomaterials.2015.05.037. [DOI] [PubMed] [Google Scholar]
- [154].Shamloo A, Amirifar L. A microfluidic device for 2D to 3D and 3D to 3D cell navigation. J Micromechanics Microengineering. 2016;26 doi: 10.1088/0960-1317/26/1/015003. 015003. [DOI] [Google Scholar]
- [155].Carvalho MR, Lima D, Reis RL, Correlo VM, Oliveira JM. Evaluating Biomaterial- and Microfluidic-Based 3D Tumor Models. Trends Biotechnol. 2015;33:667–678. doi: 10.1016/j.tibtech.2015.09.009. [DOI] [PubMed] [Google Scholar]
- [156].Gupta N, Liu JR, Patel B, Solomon DE, Vaidya B, Gupta V. Microfluidics-based 3D cell culture models: Utility in novel drug discovery and delivery research. Bioeng Transl Med. 2016;1:63–81. doi: 10.1002/btm2.10013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [157].Wong KHK, Chan JM, Kamm RD, Tien J. Microfluidic Models of Vascular Functions. Annu Rev Biomed Eng. 2012;14:205–230. doi: 10.1146/annurev-bioeng-071811-150052. [DOI] [PubMed] [Google Scholar]
- [158].van Duinen V, Trietsch SJ, Joore J, Vulto P, Hankemeier T. Microfluidic 3D cell culture: From tools to tissue models. Curr Opin Biotechnol. 2015;35:118–126. doi: 10.1016/j.copbio.2015.05.002. [DOI] [PubMed] [Google Scholar]
- [159].Arora J, Sauer SJ, Tarpley M, Vermeulen P, Rypens C, Van Laere S, Williams KP, Devi GR, Dewhirst MW. Inflammatory breast cancer tumor emboli express high levels of anti-apoptotic proteins: use of a quantitative high content and high-throughput 3D IBC spheroid assay to identify targeting strategies. Oncotarget. 2017;8:25848–25863. doi: 10.18632/oncotarget.15667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [160].HAGEMANN J, JACOBI C, HAHN M, SCHMID V, WELZ C, SCHWENK-ZIEGER S, STAUBER R, BAUMEISTER P, BECKER S. Spheroid-based 3D Cell Cultures Enable Personalized Therapy Testing and Drug Discovery in Head and Neck Cancer. Anticancer Res. 2017;37:2201–2210. doi: 10.21873/anticanres.11555. [DOI] [PubMed] [Google Scholar]
- [161].Kucinska M, Murias M, Nowak-Sliwinska P. Beyond mouse cancer models: Three-dimensional human-relevant in vitro and non-mammalian in vivo models for photodynamic therapy. Mutat Res - Rev Mutat Res. 2017;773:242–262. doi: 10.1016/j.mrrev.2016.09.002. [DOI] [PubMed] [Google Scholar]
- [162].Raghavan S, Mehta P, Horst EN, Ward MR, Rowley KR, Mehta G. Comparative analysis of tumor spheroid generation techniques for differential in vitro drug toxicity. Oncotarget. 2016;7:16948–61. doi: 10.18632/oncotarget.7659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [163].OncoPanel™. 3D – determine activity of compounds on tumor spheroids - Eurofins Scientific. [accessed April 6, 2018]. (n.d.). https://www.eurofins.com/biopharma-services/discovery/services/cell-based-phenotypic/oncology/oncopanel-3d/
- [164].3D Biotek. 3D PCL Insert. [accessed April 11, 2018]. (n.d.). http://3dbiotek.com/prod_3dpcl.aspx.
- [165].Barbarisi M, Marino G, Armenia E, Vincenzo Q, Rosso F, Porcelli M, Barbarisi A. Use of polycaprolactone (PCL) as scaffolds for the regeneration of nerve tissue. J Biomed Mater Res Part A. 2015;103:1755–1760. doi: 10.1002/jbm.a.35318. [DOI] [PubMed] [Google Scholar]
- [166].Shaheen NL, Kataria E, Antony J, Galvan D, Ballou Y, Bryan BA. Extracellular matrix composition modulates angiosarcoma cell attachment and proliferation. Oncoscience. 2017;4 doi: 10.18632/oncoscience.383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [167].Khurana A, Godugu C. Alginate-Based Three-Dimensional In Vitro Tumor Models?: A Better Alternative to Current Two-Dimensional Cell Culture Models. 2018:157–183. doi: 10.1007/978-981-10-6910-9_6. [DOI] [Google Scholar]
- [168].Alonso-Nocelo M, Abuín C, López-López R, De La Fuente M. Development and characterization of a three-dimensional co-culture model of tumor T cell infiltration. Biofabrication. 2016;8:1–13. doi: 10.1088/1758-5090/8/2/025002. [DOI] [PubMed] [Google Scholar]
- [169].Liu D, Shi M, Duan C, Chen H, Hu Y, Yang Z, Duan H, Guo N. Downregulation of Erbin in Her2-overexpressing breast cancer cells promotes cell migration and induces trastuzumab resistance. Mol Immunol. 2013;56:104–112. doi: 10.1016/j.molimm.2013.04.007. [DOI] [PubMed] [Google Scholar]
- [170].Barkan D, Green JE. An In Vitro System to Study Tumor Dormancy and the Switch to Metastatic Growth. J Vis Exp. 2011:1–5. doi: 10.3791/2914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [171].Yamanishi C, Jen K, Takayama S. Techniques to Produce and Culture Lung Tumor Organoids. Humana Press; Cham: 2018. pp. 1–15. [DOI] [Google Scholar]
- [172].Fallon K. A Novel Immunodeficient Rat for Modeling Human Cancer. :358. (n.d.) [Google Scholar]
- [173].Liaw C-Y, Ji S, Guvendiren M. Engineering 3D Hydrogels for Personalized In Vitro Human Tissue Models. Adv Healthc Mater. 2018 doi: 10.1002/adhm.201701165. 1701165. [DOI] [PubMed] [Google Scholar]
- [174].Skardal A, Murphy SV, Crowell K, Mack D, Atala A, Soker S. A tunable hydrogel system for long-term release of cell-secreted cytokines and bioprinted in situ wound cell delivery. J Biomed Mater Res - Part B Appl Biomater. 2017;105:1986–2000. doi: 10.1002/jbm.b.33736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [175].Poincloux R, Collin O, Lizárraga F, Romao M, Debray M, Piel M, Chavrier P. Contractility of the cell rear drives invasion of breast tumor cells in 3D Matrigel. Proc Natl Acad Sci. 2011;108:1943–1948. doi: 10.1073/pnas.1010396108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [176].Marcello M, Richards R, Mason D, Sée V. Adv Exp Med Biol. Springer; Cham: 2017. Live Imaging of Cell Invasion Using a Multicellular Spheroid Model and Light-Sheet Microscopy; pp. 155–161. [DOI] [PubMed] [Google Scholar]
- [177].Spandidos D, B. Ethnikon Hidryma Ereunōn (Greece) Wang B, Chen C, Xia Z, Tang J, Yuan Y, Feng X, Yin N. Overexpression of LASP1 is associated with proliferation, migration and invasion in esophageal squamous cell carcinoma. Oncol Rep. 1994;29:1115–1123. doi: 10.3892/or.2012.2199. [DOI] [PubMed] [Google Scholar]
- [178].QGel Applications. [accessed April 6, 2018]. (n.d.). https://www.qgelbio.com/applications/
- [179].SEARCHBreast. SEARCHBreast workshop: 3D Modelling of breast cancer. 2015 doi: 10.1177/026119291504300604. [DOI] [PubMed] [Google Scholar]
- [180].Sueoka E, Sueoka N, Okabe S, Kozu T, Komori A, Ohta T, Suganuma M, Kim SJ, Lim IK, Fujiki H. Expression of the tumor necrosis factor alpha gene and early response genes by nodularin, a liver tumor promoter, in primary cultured rat hepatocytes. J Cancer Res Clin Oncol. 1997;123:413–9. doi: 10.1007/BF01372544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [181].TrueGel3D™. Fast Gelling Hydrogels Preparation Protocol | Sigma-Aldrich. [accessed April 6, 2018]. (n.d.). https://www.sigmaaldrich.com/technical-documents/protocols/biology/cell-culture/truegel3d-fast-gelling.html.
- [182].Guo P, Huang J, Moses M. Quantitative phase imaging characterization of tumor-associated blood vessel formation on a chip. In: Popescu G, Park Y, editors. Quant Phase Imaging IV, SPIE; 2018. p. 56. [DOI] [Google Scholar]
- [183].Westergren E, Aronsson TC, Christoffersson J, Aili D. Analysis of hydrogels for immobilisation of hepatocytes (HepG2) in 3D cell culturing systems. 2017 [Google Scholar]
- [184].TissUse GmbH. Products. [accessed April 6, 2018]. (n.d.). https://www.tissuse.com/en/products/
- [185].Lanz HL, Saleh A, Kramer B, Cairns J, Ng CP, Yu J, Trietsch SJ, Hankemeier T, Joore J, Vulto P, Weinshilboum R, et al. Therapy response testing of breast cancer in a 3D high-throughput perfused microfluidic platform. BMC Cancer. 2017;17:1–11. doi: 10.1186/s12885-017-3709-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [186].Mimetas. Patient-derived glioma models. [accessed April 6, 2018]. (n.d.). https://mimetas.com/overview-mimetas-applications/patient-derived-glioma-models.
- [187].MIMETAS Organ-on-a-Chip. [accessed April 6, 2018]. (n.d.). https://mimetas.com/overview-mimetas-applications.
- [188].Jarvis M, Arnold M, Ott J, Pant K, Prabhakarpandian B, Mitragotri S. Microfluidic co-culture devices to assess penetration of nanoparticles into cancer cell mass. Bioeng Transl Med. 2017;2:268–277. doi: 10.1002/btm2.10079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [189].Lovitt C, Shelper T, Avery V. Advanced Cell Culture Techniques for Cancer Drug Discovery. Biology (Basel) 2014;3:345–367. doi: 10.3390/biology3020345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [190].Fang X, Sittadjody S, Gyabaah K, Opara EC, Balaji KC. Novel 3D Co-Culture Model for Epithelial-Stromal Cells Interaction in Prostate Cancer. PLoS One. 2013;8:1–10. doi: 10.1371/journal.pone.0075187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [191].Huang H, Ding Y, Sun XS, Nguyen TA. Peptide Hydrogelation and Cell Encapsulation for 3D Culture of MCF-7 Breast Cancer Cells. PLoS One. 2013;8 doi: 10.1371/journal.pone.0059482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [192].Nath S, Devi GR. Three-dimensional culture systems in cancer research: Focus on tumor spheroid model. Pharmacol Ther. 2016;163:94–108. doi: 10.1016/j.pharmthera.2016.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [193].LaBarbera DV, Reid BG, Yoo BH. The multicellular tumor spheroid model for high-throughput cancer drug discovery. Expert Opin Drug Discov. 2012;7:819–830. doi: 10.1517/17460441.2012.708334. [DOI] [PubMed] [Google Scholar]
- [194].Oliveira MB, Mano JF. Polymer-based microparticles in tissue engineering and regenerative medicine. Biotechnol Prog. 2011;27:897–912. doi: 10.1002/btpr.618. [DOI] [PubMed] [Google Scholar]
- [195].Brancato V, Gioiella F, Profeta M, Imparato G, Guarnieri D, Urciuolo F, Melone P, Netti PA. 3D tumor microtissues as an in vitro testing platform for microenvironmentally-triggered drug delivery systems. Acta Biomater. 2017;57:47–58. doi: 10.1016/j.actbio.2017.05.004. [DOI] [PubMed] [Google Scholar]
- [196].Horning JL, Sahoo SK, Vijayaraghavalu S, Dimitrijevic S, Vasir JK, Jain TK, Panda AK, Labhasetwar V. 3-D tumor model for in vitro evaluation of anticancer drugs. Mol Pharm. 2008;5:849–862. doi: 10.1021/mp800047v. [DOI] [PubMed] [Google Scholar]
- [197].Godugu C, Patel AR, Desai U, Andey T, Sams A, Singh M. AlgiMatrix Based 3D Cell Culture System as an In-Vitro Tumor Model for Anticancer Studies. PLoS One. 2013;8:e53708. doi: 10.1371/journal.pone.0053708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [198].Kang S-WW, Bae YH. Cryopreservable and tumorigenic three-dimensional tumor culture in porous poly(lactic-co-glycolic acid) microsphere. Biomaterials. 2009;30:4227–4232. doi: 10.1016/j.biomaterials.2009.04.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [199].Singh A, Brito I, Lammerding J. Beyond Tissue Stiffness and Bioadhesivity: Advanced Biomaterials to Model Tumor Microenvironments and Drug Resistance. Trends in Cancer. 2018:1–11. doi: 10.1016/j.trecan.2018.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [200].Rodenhizer D, Dean T, D’Arcangelo E, McGuigan AP. The Current Landscape of 3D In Vitro Tumor Models: What Cancer Hallmarks Are Accessible for Drug Discovery? Adv Healthc Mater. 2018:1701174. doi: 10.1002/adhm.201701174. 1701174. [DOI] [PubMed] [Google Scholar]
- [201].Brancato V, Garziano A, Gioiella F, Urciuolo F, Imparato G, Panzetta V, Fusco S, Netti PA. 3D is not enough: Building up a cell instructive microenvironment for tumoral stroma microtissues. Acta Materialia Inc. 2017 doi: 10.1016/j.actbio.2016.10.007. [DOI] [PubMed] [Google Scholar]
- [202].Lima AC, Sher P, Mano JF. Production methodologies of polymeric and hydrogel particles for drug delivery applications. Expert Opin Drug Deliv. 2012;9:231–248. doi: 10.1517/17425247.2012.652614. [DOI] [PubMed] [Google Scholar]
- [203].Pradhan S, Chaudhury CS, Lipke EA. Dual-phase, surface tension-based fabrication method for generation of tumor millibeads. Langmuir. 2014;30:3817–3825. doi: 10.1021/la500402m. [DOI] [PubMed] [Google Scholar]
- [204].Zhang P, Guan J. Fabrication of Multilayered Microparticles by Integrating Layer-by-Layer Assembly and MicroContact Printing. Small. 2011;7:2998–3004. doi: 10.1002/smll.201101238. [DOI] [PubMed] [Google Scholar]
- [205].Deveza L, Ashoken J, Castaneda G, Tong X, Keeney M, Han L-H, Yang F. Microfluidic Synthesis of Biodegradable Polyethylene-Glycol Microspheres for Controlled Delivery of Proteins and DNA Nanoparticles. ACS Biomater Sci Eng. 2015;1:157–165. doi: 10.1021/ab500051v. [DOI] [PubMed] [Google Scholar]
- [206].Zhang XXXX, Wang W, Yu W, Xie Y, Zhang XXXX, Zhang Y, Ma X. Development of an in vitro multicellular tumor spheroid model using microencapsulation and its application in anticancer drug screening and testing. Biotechnol Prog. 2005;21:1289–1296. doi: 10.1021/bp050003l. [DOI] [PubMed] [Google Scholar]
- [207].Ferreira LP, Gaspar VM, Henrique R, Jerónimo C, Mano JF. Mesenchymal Stem Cells Relevance in Multicellular Bioengineered 3D In Vitro Tumor Models. Biotechnol J. 2017:1700079. doi: 10.1002/biot.201700079. 1700079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [208].Yeung P, Sin HS, Chan S, Chan GCF, Chan BP. Microencapsulation of neuroblastoma cells and mesenchymal stromal cells in collagen microspheres: A 3D model for cancer cell niche study. PLoS One. 2015;10:1–22. doi: 10.1371/journal.pone.0144139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [209].Lu Y-C, Song W, An D, Kim BJ, Schwartz R, Wu M, Ma M. Designing compartmentalized hydrogel microparticles for cell encapsulation and scalable 3D cell culture. J Mater Chem B. 2015;3:353–360. doi: 10.1039/c4tb01735h. [DOI] [PubMed] [Google Scholar]
- [210].Rao W, Zhao S, Yu J, Lu X, Zynger DL, He X. Enhanced enrichment of prostate cancer stem-like cells with miniaturized 3D culture in liquid core-hydrogel shell microcapsules. Biomaterials. 2014;35:7762–7773. doi: 10.1016/j.biomaterials.2014.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [211].Wilson JL, Mcdevitt TC. Stem cell microencapsulation for phenotypic control, bioprocessing, and transplantation. Biotechnol Bioeng. 2013;110:667–682. doi: 10.1002/bit.24802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [212].Sagot Y, Tan SA, Baetge E, Schmalbruch H, Kato AC, Aebischer P. Polymer Encapsulated Cell Lines Genetically Engineered to Release Ciliary Neurotrophic Factor Can Slow Down Progressive Motor Neuronopathy in the Mouse. Eur J Neurosci. 1995;7:1313–1322. doi: 10.1111/j.1460-9568.1995.tb01122.x. [DOI] [PubMed] [Google Scholar]
- [213].Cui X, Liu Y, Hartanto Y, Bi J, Dai S, Zhang H. Multicellular Spheroids Formation and Recovery in Microfluidics-generated Thermoresponsive Microgel Droplets. Colloids Interface Sci Commun. 2016;14:4–7. doi: 10.1016/j.colcom.2016.09.001. [DOI] [Google Scholar]
- [214].Alessandri K, Sarangi BR, Gurchenkov VV, Sinha B, Kiessling TR, Fetler L, Rico F, Scheuring S, Lamaze C, Simon A, Geraldo S, et al. Cellular capsules as a tool for multicellular spheroid production and for investigating the mechanics of tumor progression in vitro. Proc Natl Acad Sci. 2013;110:14843–14848. doi: 10.1073/pnas.1309482110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [215].Yang S, Guo LJ. Microencapsulation of low-passage poorly-differentiated human mucoepidermoid carcinoma cells by alginate microcapsules: In vitro profiling of angiogenesis-related molecules. Cancer Cell Int. 2017;17:1–10. doi: 10.1186/s12935-017-0479-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [216].Agarwal P, Wang H, Sun M, Xu J, Zhao S, Liu Z, Gooch KJ, Zhao Y, Lu X, He X. Microfluidics Enabled Bottom-Up Engineering of 3D Vascularized Tumor for Drug Discovery. ACS Nano. 2017;11:6691–6702. doi: 10.1021/acsnano.7b00824. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [217].Xu X, Prestwich GD. Inhibition of tumor growth and angiogenesis by a lysophosphatidic acid antagonist in an engineered three-dimensional lung cancer xenograft model. Cancer. 2010;116:1739–1750. doi: 10.1002/cncr.24907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [218].Markvicheva E, Zaytseva-Zotova D, Akasov R, Burov S, Chevalot I, Marc A. Multicellular tumor spheroids in microcapsules as a novel 3D in vitro model in tumor biology. BMC Proc. 2013;7:116. doi: 10.1186/1753-6561-7-S6-P116. [DOI] [Google Scholar]
- [219].Guzman A, Sánchez Alemany V, Nguyen Y, Zhang CR, Kaufman LJ. A novel 3D in vitro metastasis model elucidates differential invasive strategies during and after breaching basement membrane. Biomaterials. 2017;115:19–29. doi: 10.1016/j.biomaterials.2016.11.014. [DOI] [PubMed] [Google Scholar]
- [220].Son H, Moon A. Epithelial-mesenchymal Transition and Cell Invasion. Toxicol Res. 2010;26:245–52. doi: 10.5487/TR.2010.26.4.245. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [221].Tse JM, Cheng G, Tyrrell JA, Wilcox-Adelman SA, Boucher Y, Jain RK, Munn LL. Mechanical compression drives cancer cells toward invasive phenotype. Proc Natl Acad Sci. 2012;109:911–916. doi: 10.1073/pnas.1118910109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [222].Yu L, Ni C, Grist SM, Bayly C, Cheung KC. Alginate core-shell beads for simplified three-dimensional tumor spheroid culture and drug screening. Biomed Microdevices. 2015;17 doi: 10.1007/s10544-014-9918-5. [DOI] [PubMed] [Google Scholar]
- [223].Lee KH, No DY, Kim S-H, Ryoo JH, Wong SF, Lee S-H. Diffusion-mediated in situ alginate encapsulation of cell spheroids using microscale concave well and nanoporous membrane. Lab Chip. 2011;11:1168. doi: 10.1039/c0lc00540a. [DOI] [PubMed] [Google Scholar]
- [224].Leong W, Soon C, Wong S, Tee K, Cheong S, Gan S, Youseffi M. In Vitro Growth of Human Keratinocytes and Oral Cancer Cells into Microtissues: An Aerosol-Based Microencapsulation Technique. Bioengineering. 2017;4:43. doi: 10.3390/bioengineering4020043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [225].Privalova AM, Uglanova SV, Kuznetsova NR, Klyachko NL, Golovin YI, Korenkov VV, Vodovozova EL, Markvicheva EA. Microencapsulated Multicellular Tumor Spheroids as a Tool to Test Novel Anticancer Nanosized Drug Delivery Systems In Vitro . J Nanosci Nanotechnol. 2015;15:4806–4814. doi: 10.1166/jnn.2015.10508. [DOI] [PubMed] [Google Scholar]
- [226].Feng Xu U, Celli Jonathan, Rizvi Imran, Moon Sangjun, Hasan Tayyaba, Demirci A three-dimensional in vitro ovarian cancer coculture model using a high-throughput cell patterning platform. Dev Biol. 2004;276:391–402. doi: 10.1002/biot.201000340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [227].Wan L, Pantel K, Kang Y. Tumor metastasis: moving new biological insights into the clinic. Nat Med. 2013;19:1450–1464. doi: 10.1038/nm.3391. [DOI] [PubMed] [Google Scholar]













