Next Article in Journal
Disease Modeling Using 3D Organoids Derived from Human Induced Pluripotent Stem Cells
Next Article in Special Issue
Human Cancer and Platelet Interaction, a Potential Therapeutic Target
Previous Article in Journal
Genome-Wide Identification and Characterization of Tyrosine Kinases in the Silkworm, Bombyx mori
Previous Article in Special Issue
The ADAMTS5 Metzincin Regulates Zebrafish Somite Differentiation
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 19
Issue 4
10.3390/ijms19040935
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Microfabrication-Based Three-Dimensional (3-D) Extracellular Matrix Microenvironments for Cancer and Other Diseases

by
Kena Song
,
Zirui Wang
,
Ruchuan Liu
,
Guo Chen
* and
Liyu Liu
*
College of Physics, Chongqing University, Chongqing 401331, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2018, 19(4), 935; https://doi.org/10.3390/ijms19040935
Submission received: 23 December 2017 / Revised: 18 January 2018 / Accepted: 19 January 2018 / Published: 21 March 2018
(This article belongs to the Special Issue Extracellular Matrix in Development and Disease)
Browse Figures
Versions Notes

Abstract

:
Exploring the complicated development of tumors and metastases needs a deep understanding of the physical and biological interactions between cancer cells and their surrounding microenvironments. One of the major challenges is the ability to mimic the complex 3-D tissue microenvironment that particularly influences cell proliferation, migration, invasion, and apoptosis in relation to the extracellular matrix (ECM). Traditional cell culture is unable to create 3-D cell scaffolds resembling tissue complexity and functions, and, in the past, many efforts were made to realize the goal of obtaining cell clusters in hydrogels. However, the available methods still lack a precise control of cell external microenvironments. Recently, the rapid development of microfabrication techniques, such as 3-D printing, microfluidics, and photochemistry, has offered great advantages in reconstructing 3-D controllable cancer cell microenvironments in vitro. Consequently, various biofunctionalized hydrogels have become the ideal candidates to help the researchers acquire some new insights into various diseases. Our review will discuss some important studies and the latest progress regarding the above approaches for the production of 3-D ECM structures for cancer and other diseases. Especially, we will focus on new discoveries regarding the impact of the ECM on different aspects of cancer metastasis, e.g., collective invasion, enhanced intravasation by stress and aligned collagen fibers, angiogenesis regulation, as well as on drug screening.

1. Introduction

The lethality of cancer lies in its ability to form metastases that accounts for about 90% of cancer deaths according to the available statistics [1,2]. The phenomenon of cancer metastasis has been investigated extensively in the last decade [3,4,5], and the neighboring microenvironment of cancer cells, i.e., the extracellular matrix (ECM), has been found to significantly impact tumor and metastasis development [6,7,8,9,10].
Cancer cells are not isolated, and their complicated cell–cell communications, development, metastases, and functions are always closely connected with the ECM microenvironment [11,12,13], e.g., tumor cells must break through the ECM, a critical step for cancer metastasis, to be able to reach the lymphatic or vascular system [14]. Therefore, an in-depth understanding of the interactions between cancer cells and ECM, from both physical and biological perspectives, is necessary to uncover the mechanism of cancer metastasis. This may also help to find potential therapeutic strategies to control malignant cancer. To achieve this goal, constructing a realistic in vitro cell culture system, particularly involving cell proliferation, migration, invasion, and apoptosis in relation to the ECM, becomes imperative.
In fact, the structure of the ECM in vivo is a complicated system, especially around a neoplastic tissue. The 3-D structure of the ECM in healthy, perilesional, and neoplastic tissues is different. The ECM in a healthy area shows a homogeneous distribution of structure, proteins, and glycoproteins, with collagen fibers intersecting to form a random network. Conversely, the ECM in perilesional and neoplastic areas shows a heterogeneous distribution of the structure, with a dense matrix, irregular shape, and asymmetric profile. The heterogeneous degree of glycoproteins distribution and the parallel degree of collagen fibrils become more obvious closer to the neoplastic tissue [15,16]. In addition, the degree of stiffness of the ECM is an important parameter related to the occurring lesions. The increased stiffness of perilesional areas may represent a new predictive marker of invasion [17].
Traditionally, cells have been cultured in Petri dishes that can only provide a two-dimensional (2-D) extracellular environment: cells can only attach to the surface of the medium and cannot form any 3-D scaffolds to mimic the real tissue complexity and functions [18,19,20]. Although some important discoveries have been made by using 2-D cancer cell culture systems, they are still insufficient for understanding the complex interactions between cancer cells and the ECM. Numerous studies have indicated that cell morphology, signaling patterns, and cellular functions are different in 3-D tissue microenvironments in vitro compared to 2-D Petri-dish systems [21,22], e.g., 2-D cell cultures do not fully support the recovery of the cellular phenotypes found in tissues in vivo [23]; also, when addressing drug toxicity effects, pharmacokinetic studies performed in 2-D polarized intestinal cells showed distinct features compared to those from toxicology screening tests conducted in a 3-D system composed of interconnected channels and chambers representative of distinct tissue types [24,25].
Realizing a 3-D tissue microenvironment similar to the one found in vivo, is one of the major challenges, but also the key factor to bridge the gap. In the past, many efforts were made to mimic the complex 3-D tissue microenvironment and particularly its influence on cell proliferation, migration, invasion, and apoptosis in relation to the ECM, for example by embedding cell clusters in a low-density Matrigel to form a lumina to mimic the in vivo epithelial layer [26], or by aggregating cells into 3-D spheroidal structures on a low-adhesion surface of a 2-D culture system [27]. However, a precise control of cell morphology (including size, density, and shape) is still lacking, and quantitatively adjustments of the external microenvironment, such as the medium and nutrition gradient, cannot be achieved [28].
In this review, we will discuss some commonly used, modern microfabrication techniques for the effective reconstruction of 3-D cell culture microenvironments in vitro that mimic real tissue structures or systems in vivo. On the basis of the available literature and the latest progress, we will elaborate on how these specifically designed 3-D cells–ECM microenvironments in vitro are applicable to the study of cancer, including metastasis, tumor angiogenesis, and drug screening, as well as of other diseases.

2. Microfabrication Techniques in the Effective Reconstruction of 3-D ECM Microenvironments In Vitro

Recently, the rapid development of microfabrication techniques, such as 3-D printing [29,30,31,32], microfluidics [33,34], photopolymerization, photochemistry, photoreaction [35,36,37,38,39,40], mold-based Diskoid In Geometrically Micropatterned ECM (DIGME) [41,42], as well as the corresponding cell culture approaches, have made it possible to precisely design and construct sophisticated controllable tissue models in vitro that mimic the 3-D architectures and physiological conditions present in vivo [28,43]. Consequently, various biofunctionalized hydrogels, such as collagen, fibronectin, and Matrigel, have become ideal candidates [12,44,45,46,47,48,49,50]. Furthermore, combined with advanced modern biomicroscopic tools, the direct and clear observation of cell morphology, motility, and other behaviors has become much easier, thereby helping the researchers acquire new insights into various diseases. Some commonly used methods and materials to engineer 3-D cancer or other disease models and the strengths and limitations of each technique are summarized in Table 1 and Table 2, respectively.

2.1. Microfabrication Techniques Contribute to the Construction of Special Structures, Such as Interface, Regions of Oriented Collagen Fibers, and Vascular Structures in the ECM

Metastasis usually involves the infiltration of cancer cells through aligned collagen fibers in the ECM and their subsequent penetration through the basement membrane to reach the blood or lymph vessels [14]. Moreover, characteristic changes in the orientation of the collagen fibers in the ECM are usually accompanied by the initiation and progression of tumors and are labeled as tumor-associated collagen signature. This collagen signature has served as an early diagnostic marker in various pathological processes related to cancer [60]. To mimic such processes, such as the ECM infiltration and collagen signature in in vitro cell culture systems, a successful reconstruction of the special structures of the ECM becomes significantly important. Microfabrication techniques seem to be ideal tools to realize this goal.
Zhu et al. [34] created a 3-D heterogeneous Matrigel structure, i.e., an ECM system with an interface inside it, to simulate the nonhomogeneous ECM microenvironment in vivo by curing two Matrigel sections of identical concentration at different times. Brin M. Gillette et al. [61] also fabricated a stable collagen fiber-mediated interface by micropatterning and gelling 3-D ECMs of flexible composition to mimic the nonhomogeneous and anisotropic properties of the native tissue.
Besides the realization of interfaces, microfabrication provides a new way to establish aligned collagen fiber structures. Liu et al. [14] created a 3-D sandwiched ECM microenvironment in a microfluidic chip with pillar-like inner structures by injecting collagen I in a fluid state into the Matrigel. Collagen I showed a specific orientation, perpendicular to the heterogeneous interface, induced by the internally developing strain during the solidification of the composite ECM, as shown in Figure 1A. Such aligned collagen fibers might resemble the highly oriented collagen fiber bundles found in cancer patients. Alexandra et al. [62] also varied the alignment of individual fibers and their network by using a microfabrication-based 3-D culture approach to investigate the dynamics of ECM alignment around tissues of defined geometry.
Other complex structures, such as in vascular or multicomponent systems, can also be reconstructed with modern microfabrication techniques. Lee et al. [63] developed a 3-D bioprinting platform, as illustrated in Figure 1B, to construct large-scale fluidic vascular channels with an adjacent capillary network within a 3-D hydrogel through a natural maturation process, as seen for angiogenic endothelial cells sprouting from a large channel edge and branching out into the collagen matrix. Their model can help to engineer desired 3-D vascular niches or thick vascularized tissues. Yong Da Sie et al. [38] adopted multiphoton excitation photochemistry to fabricate a complex 3-D multicomponent microstructure by inserting human fibronectin at specific locations on the 3-D scaffold formed by bovine serum albumin (BSA). Their model can be used to test the role of single factors in cell growth and metastasis.

2.2. Advanced Microfabrication Techniques Can Realize a Systematic and Quantitative Regulation of Cell Geometry, Such as Density, Volume, Size, Shape, and Location, in a Complex 3-D ECM Setting for Long Periods of Culture

Geometric cues are also considered to affect cellular functions, e.g., cell survival, self-renewal, and differentiation, in 3-D ECM microenvironments [23,65]. A precise control of cellular geometry in a complex 3-D scaffold, for long periods of culture, can be achieved effectively through the modern microfabrication techniques.
Lee et al. [66] fabricated a 3-D spheroid culture-based system with transparent and cell-repulsive polyacrylamide hydrogel, for testing nanoparticle toxicity. In their system, the sizes and shapes of the cells were accurately controlled by constraining the cells inside the pores. In 2011, Cheri Y. Li et al. [67] fabricated a 3-D cell-laden hydrogel microtissue with a photocurable hydrogel as the ECM. This system could control the cell size as well as the cell type. They made the microtissues functional by surface-encoding DNA. Through this system, they achieved multiple types of microtissues with multiplexed patterns. Several years later, Bao et al. [23] provided a more robust method to encapsulate single cells within 3-D matrix structures using the photopolymerization technique, for example in hydrogel microniches, which allows both cell adhesion and nutritional permeability, as shown in Figure 1C. These microniches were prism-shaped, with a controlled geometry of the bottom plane, and had precisely defined volumes, which could constrain the cell size and geometry in a systematic and quantitative manner. This device could also be easily combined with a confocal microscope to acquire images rapidly.

2.3. Modern Microfabrication Techniques Can Help to Control Precisely the Concentration Gradient of the Medium, with Respect to Growth Factosr, Nutrients, and Drugs, in the ECM

Metastasis is an energy-consuming process, and cancer cell invasion cannot be achieved without a driving force, such as growth factors, nutrition, or drugs [66,68]. Microfabrication techniques can help us to setup a concentration gradient inside the ECM to further investigate the complex metastasis process in vitro.
Liu et al. [64] designed a 3-D mesoscopic ecology by drilling a hole into a glass slide and filling it with 4.7 mg/ml collagen solution. A stable glucose gradient was established through the gel with low-glucose medium at the top and high-glucose medium at the bottom of the device, as demonstrated in Figure 1D. This device can help to test chemotaxis and trophotaxis of metastatic cells towards glucose or growth factors in a 3-D homogeneous ECM microenvironment. Ashley A. Jaeger et al. [56] also fabricated a 3-D bioreactor using Matrigel as the ECM. Their system could quantitatively control the oxygen gradient mimicking the tumor microenvironment, and could potentially be applied to study gas exchanges in cancer cell cultures.
Multiple concentration gradients can also be realized. Fan et al. [18] constructed a 3-D microfluidic system with an array of hollow microchambers in collagen I for cell culture, by employing the micromoulding and microfluidic techniques. This delicately designed microfluidic system could realize up to four controlled biochemical and drug gradients, simultaneously, through four independent microchannels encompassing the central collagen platform, and offered a robust platform for high-throughput drug and biochemical screening studies.
In conclusion, on the basis of the advanced microfabrication techniques, e.g., 3-D printing, microfluidics, and photochemistry, reconstructing a 3-D cells–ECM microenvironment in vitro, which perfectly mimics tissue morphology and functions in vivo, becomes an attainable goal. Especially, these techniques prove to be very useful in forming a special morphology, such as interface, oriented collagen fiber region, and vascular structures, or in quantitatively regulating cellular geometry and precisely controlling concentration gradients in the ECM.

3. New Discoveries about Cancer and Other Diseases, Based on 3-D ECM Systems In Vitro

Because of the rapid development of advanced microfabrication techniques, numerous novel discoveries, related to cancer and other diseases, have arisen in the last decade. In this section of the review, we will discuss some important studies and latest progress in the field of cancer and other diseases, based on 3-D in vitro cell–ECM microenvironments. We will especially focus on cancer metastasis—new discoveries of the impact of the ECM, e.g., collective invasion, intravasation enhancement by stress and aligned collagen fibers, angiogenesis regulation, as well as drug screening.

3.1. The Impact of Tumor Biotic Factors and Secretion on Normal Tissues and Cells via 3-D ECM Microenvironments

Cancer cells are reported to be able to affect normal tissues and cells by secreting biotic factors, which are transferred through the neighboring ECM. Therefore, a comprehensive understanding of the complicated interactions between cancer cells and normal tissues via a 3-D ECM would be of great benefit for a better control of malignant cancers.
Eliza Li Shan Fong et al. [69] established a 3-D Ewing sarcoma model using an electrospinning apparatus ex vivo. They found that Ewing sarcoma cells cultured in porous 3-D electrospun poly(ε-caprolactone) exhibited remarkable differences in the expression pattern of the insulin-like growth factor-1 receptor/mammalian target of rapamycin pathway, and they were more resistant to traditional cytotoxic drugs compared to the cells grown in a 2-D monolayer culture system. Jia et al. [29] fabricated a 3-D ECM-like substrate with arbitrary micropatterns by combining inkjet printing and electrospinning. They found a close spatiotemporal interaction between breast cancer cells and stromal cells through transforming growth factor (TGF)-β1, which is secreted by breast cancer cells and can induce spatial differentiation of fibroblasts, as shown in Figure 2A1,A2.

3.2. The Collective Invasion of Cancer Cells into a Homogeneous ECM System Driven by Medium, Nutrients, and Growth Factor Gradients

During metastasis in vivo, cancer cells are commonly found to migrate to distant locations collectively. Extensive investigations have indicated that the intercellular and cell–ECM interactions have significant impacts on this collective invasion behavior.
Liu et al. [64] constructed a 3-D mesoscopic ecology to investigate the process of invasion of metastatic cells into an elastic medium in the presence of a glucose gradient. They showed that human breast cancer cells seeded on the top surface of the gel with low-glucose medium could invade into the 3-D collagen matrix cooperatively from the top to the bottom, where the glucose medium concentration was high. This collective invasion of cancer cells was found to be similar to that seen in the case of exchanging leaders in the invading front, as shown in Figure 2B. John Casey et al. [40] fabricated 3-D microwell arrays of defined geometry and dimension using photoreactive hydrogels to study cell migration out from cell aggregates over time. They concluded that spheroids within PEG 20 kDa microwells had the narrowest diameters as the cells tended to condense and cluster together.
Brendon M. Baker et al. [57] used the sacrificial channel template approach to fabricate another ECM structure, composed of collagen gel, which contained microfluidically ported microchannels. A stable diffusion gradient of soluble angiogenic growth factors dependent on the structure of the microfluidic network, was established. They showed that human umbilical vein endothelial cell (HUVEC) invasion and angiogenic sprouting occurred at the locations with the strongest gradients.

3.3. Intravasation of Cancer Cells into a Heterogeneous ECM Structure with the Help of Gradients, Stress, or Aligned Collagen Fibers

The intravasation of cancer cells into the lymphatic or vascular systems involves the key process of the cancer cells breaking through the basement membrane to get into the vessels. With modern technology, the important and puzzling question concerning tumor metastasis, i.e., how the heterogeneous ECM structures, such as aligned collagen or interface, influence cell infiltration and the subsequent break into the basement membrane during metastasis, is slowly getting answered.
In 2012, Ioannis K. Zervantonakis et al. [70] designed and constructed a 3-D tumor–endothelial intravasation microfluidic-based assay by interconnecting two independently addressable microchannels via a 3-D ECM hydrogel. Tumor and endothelial cells were seeded, respectively, in these two channels to mimic tumor cell invasion through 3-D ECM, in response to externally applied growth factor, such as epidermal growth factor (EGF), or biochemical gradients. Their experiments, aimed at addressing how tumor cells interact with normal epithelial cells, showed that breast carcinoma cells could invade through a HUVEC monolayer in the presence of macrophages, and the endothelial barrier impairment was associated with a higher number and faster dynamics of tumor–endothelial interactions. Several years later, Zhu et al. [34] used their system of 3-D heterogeneous ECM microenvironment in vitro to mimic the environment in vivo. Breast cancer cells were found to exhibit strikingly different invasive behaviors in homogenous and heterogeneous Matrigel with interior interfaces. As shown in Figure 2C, the interface in a heterogeneous ECM microenvironment guided cell invasion at an early stage, and the cells showed strong collective finger-like invasive behaviors. Liu et al. [14] used their 3-D ECM structure, as introduced in Section 2.1, to study cancer cell infiltration. They showed that the aligned collagen fibers were able to significantly enhance tumor metastatic potential, since metastatic breast cancer cells could accelerate their infiltration into rigid Matrigel by following the alignment direction. Epithelial–mesenchymal transition (EMT) is also a prominent signal of deterioration of tumors. Once a cancer cell undergoes a phenotypic change through EMT, it will obtain greater migratory and invasive ability, directing cells to penetrate into the vessels [71]. Sharmistha Saha et al. [72] combined the technology of electrospun and microfabrication to create fibrous scaffolds with random or aligned fiber orientation mimicking the complex ECM microenvironment in tumors. They found that the aligned fiber scaffold can guide EMT in cancer cells accompanied by the upregulation of TGF β-1.

3.4. Biophysical and Mechanical Properties of the ECM, such as Geometry, Density, Stiffness, Contractility, and Crosslinking of Collagen Fibers, Influence Tumor Angiogenesis Both Directly and Indirectly

Recently, ECM stiffness has progressively become a significant mechanical cue that precedes disease and drives its pathological progression by altering cellular behavior or influencing tumor angiogenesis [73]. Abnormal vessel growth and function are usually the hallmarks of cancer or inflammatory diseases and contribute to disease progression [74]. Tumor cells and tissues need to establish a blood supply, primarily through angiogenesis, from a pre-existing vascular network, to satisfy their increasing demand for nutrients and oxygen to perform metabolic functions, similar to the normal tissues [74,75]. Angiogenic programming of tumor tissues is a multidimensional process, regulated by cancer cells, stromal cells, their bioactive products, as well as ECM microenvironments [76].A few years ago, Mason et al. [77] took advantage of the tunable mechanical properties of collagen-based scaffolds to investigate the effects of matrix stiffness on 3-D microenvironments. They observed a significant increase in cellular spreading and extension with increasing matrix stiffness, and these effects lasted throughout the entire course of the cell culture period. Recently, Jia et al. [29] showed cancer-regulated angiogenesis by factors secreted from the cancer cells, which guided the sprouting of endothelial cells toward cancer clusters, by using their 3-D ECM structure with arbitrary micropatterns, as shown in Figure 2E1,E2.

3.5. 3-D Microenvironments for Drug Screening

Conventionally, pharmacokinetic studies are performed in rodents or in 2-D polarized intestinal cells before clinical administration, nevertheless, several compounds have still proven toxic to humans, despite such testing [9]. Advanced microfabrication techniques have proven their suitability in creating 3-D cell–ECM microenvironments in vitro that can be perfectly used for screening drugs.
Lee et al. [66] showed that the toxicity of CdTe and Au was significantly reduced in their system with a 3-D microenvironment, compared to that in 2-D cultures. In 2017, Fan et al. [18] used their complex gradient microfluidic system, which allowed incorporating multiple chemical, temporal, and spatial gradients within a 3-D micropatterned collagen scaffold in vitro, to test the role of matrix metalloproteinases (MMPs) in inhibiting cancer cells aggregation. As shown in Figure 2D, MMPs inhibitors were found to depress the abilities of the cancer cells to disrupt the structure of the surrounding lumen-like cell clusters; the down regulation of E-cad expression, due to the MMPs produced by invasive breast cancer cells, played a dominant role in determining the cellular behavior.

3.6. Other Diseases (Wound Healing, Clonal Acinar Development, Differentiation of Embryoid Bodies, Neurodevelopmental Processes, Cartilage Defects) Related to 3-D Cells–ECM Microenvironments

Besides cancer metastasis, 3-D cell–ECM microenvironments fabricated by modern microfabrication techniques can also be applied in the study of many other diseases or biomedical processes, including, but not limited to, wound healing, clonal acinar development, differentiation of embryoid bodies, neurodevelopmental processes, and so on.
The idea of the 3-D bioprinting of skin cells was considered adequate for transitioning the technology to clinical settings. For example, Skardal, A. et al. [78] used the bioprinting technology to deposit two layers of a fibrin–collagen gel containing endothelial cells to treat full-thickness skin wounds in mice.
In 2015, Dolega et al. [79] constructed a 3-D cell culture system based on a flow-focusing microfluidic chip that encapsulates cells in Matrigel microbeads. Each individual microbead acts as a single-cell culture compartment, generating one acinus per bead, on an average. They used this 3-D cell culture system to investigate acinar development, by tracing the microbead under temporally and spatially controlled conditions. They found that acinar development proceeds through clonal growth from single cells, which are self-sufficient to differentiate in a Matrigel environment.
In studying the differentiation of embryoid bodies, Fung et al. [80] presented a 3-D microfluidic platform, using biocompatible materials, based on a Y-channel device with two inlets for two different culturing media, to study the differentiation of embryoid bodies by in vitro aggregation of embryonic stem cells. They found that the differentiation of the same embryonic stem cells into different specialized cell lineages can be achieved by applying the microfluidic technology.
In the treatment of cartilage defects, the differentiation of stem cells into chondrocytes is an important cue [81]. Many physical and mechanical characteristics of the ECM, such as hypoxia, stiffness, topography, and pore size, are closely related to the interdifferentiation process of chondrocytes and stem cells [82]. Kuan-Han Wu et al. [81] used gelatin as ECM in a microfabrication process to create a scaffold with different sizes of microbubbles and pores. They found that the size of microbubbles and pores can impact chondrogenesis, and a larger pore size is required for inducing mature chondrogenesis. Xiaobin Huang et al. [83] chose pH-degradable Poly(vinyl alcohol) (PVA) hydrogel as an ECM scaffold to study the effects of oxygen tension on chondrogenesis. They found that the degree of hypoxia affects the expression of many cytokines (e.g., MMP13, ALPL, COL10A1, ELISA), which has a further influence on chondrogenesis. For example, hypoxia in 2.5% O2 would promote cartilage matrix production.
Recently, Lancaster et al. [84] developed a 3-D cerebral organoid culture system for deriving brain tissues to study human neurodevelopmental processes in vitro. This method recapitulated not only the fundamental mechanisms of mammalian neurodevelopment, but also displayed a wide range of characteristics of human brain development.

4. Conclusions

The significant progress of microfabrication in the last decade has advanced our understanding of cancer and other diseases. In this review, we have discussed some important findings and latest developments of the above approaches with respect to cancer and other diseases in 3-D ECM scaffolds. We stress that these 3-D ECM microenvironments are closely related to the process of cancer metastasis that presents multiple aspects, such as collective invasion and intravasation, tumor angiogenesis regulation, as well as drug screening.

Acknowledgments

Grants from the National Natural Science Foundation of China (Grant No. 11604030, No. 11474345, No. 11674043), Natural Science Foundation Project of CQ CSTC (Grant No. 2015jcyjA00042) and the Fundamental Research Funds for the Central Universities (Project No. 106112017CDJXY300001).

Author Contributions

Kena Song and Zirui Wang contributed equally to this work. Guo Chen, Ruchuan Liu, and Liyu Liu designed the study; Kena Song, Zirui Wang, and Guo Chen investigated the literature; Kena Song, Zirui Wang, Ruchuan Liu, Guo Chen, and Liyu Liu provided advice; Kena Song and Guo Chen wrote the paper.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

3-DThree dimensional
2-DTwo dimensional
ECMExtracellular matrix
BSABovine serum albumin
TGFTransforming growth factor
HUVECHuman umbilical vein endothelial cells
MMPsMatrix metalloproteinases
EGFEpidermal growth factor
DIGMEDiskoid In Geometrically Micropatterned ECM
EMTEpithelial-mesenchymal transition
PEGPolyethylene glycol
PEGDAPoly(ethylene glycol) diacrylate
DMD-PPDigital micromirror device-based projection printing
FLDWFemtosecond laser direct writing
MMPsMatrix Metalloproteinases
PVAPoly(vinyl alcohol)

References

  1. Sporn, M.B. The war on cancer. Lancet 1996, 347, 1377. [Google Scholar] [CrossRef]
  2. Sleeman, J.P.; Steeg, P.S. Cancer metastasis as a therapeutic target. Eur. J. Cancer 2010, 46, 1177–1180. [Google Scholar] [CrossRef] [PubMed]
  3. Mowers, E.E.; Sharifi, M.N.; Macleod, K.F. Autophagy in cancer metastasis. Oncogene 2017, 36, 1619–1630. [Google Scholar] [CrossRef] [PubMed]
  4. Seyfried, T.N.; Huysentruyt, L.C. On the Origin of Cancer Metastasis. Crit. Rev. Oncog. 2013, 18, 43–73. [Google Scholar] [CrossRef] [PubMed]
  5. Wells, A.; Grahovac, J.; Wheeler, S.; Ma, B.; Lauffenburger, D.A. Targeting tumor cell motility as a strategy against invasion and metastasis. Trends Pharmacol. Sci. 2013, 34, 283–289. [Google Scholar] [CrossRef] [PubMed]
  6. Butcher, D.T.; Alliston, T.; Weaver, V.M. A tense situation: Forcing tumour progression. Nat. Rev. Cancer 2009, 9, 108–122. [Google Scholar] [CrossRef] [PubMed]
  7. Sinkus, R.; Lorenzen, J.; Schrader, D.; Lorenzen, M.; Dargatz, M.; Holz, D.J. High-resolution tensor MR elastography for breast tumour detection. Phys. Med. Biol. 2000, 45, 1649–1664. [Google Scholar] [CrossRef] [PubMed]
  8. Paszek, M.J.; Zahir, N.; Johnson, K.R.; Lakins, J.N.; Rozenberg, G.I.; Gefen, A.; Reinhartking, C.A.; Margulies, S.S.; Dembo, M.; Boettiger, D. Tensional homeostasis and the malignant phenotype. Cancer Cell. 2005, 3, 241–254. [Google Scholar] [CrossRef] [PubMed]
  9. Broekelmann, T.J.; Limper, A.H.; Colby, T.V.; Mcdonald, J.A. Transforming growth factor beta 1 is present at sites of extracellular matrix gene expression in human pulmonary fibrosis. Proc. Natl. Acad. Sci. USA 1991, 88, 6642–6646. [Google Scholar] [CrossRef] [PubMed]
  10. Qi, Z.; Atsuchi, N.; Ooshima, A.; Takeshita, A.; Ueno, H. Blockade of type β transforming growth factor signaling prevents liver fibrosis and dysfunction in the rat. Proc. Natl. Acad. Sci. USA 1999, 96, 2345–2349. [Google Scholar] [CrossRef] [PubMed]
  11. Choi, J.; Lee, E.K.; Choo, J.; Yuh, J.; Hong, J.W. Micro 3D cell culture systems for cellular behavior studies: Culture matrices, devices, substrates, and in-situ sensing methods. Biotech. J. 2015, 10, 1682–1688. [Google Scholar] [CrossRef] [PubMed]
  12. Kolacna, L.; Bakesova, J.; Varga, F.; Kosťakova, E.; Planka, L.; Necas, A.; Lukas, D.; Amler, E.; Pelouch, V. Biochemical and Biophysical Aspects of Collagen Nanostructure in the Extracellular Matrix. Physiol. Res. 2007, 56, S51–S60. [Google Scholar] [PubMed]
  13. Gupta, G.P.; Massague, J. Cancer Metastasis: Building a Framework. Cell 2006, 127, 679–695. [Google Scholar] [CrossRef] [PubMed]
  14. Han, W.; Chen, S.; Yuan, W.; Fan, Q.; Tian, J.; Wang, X.; Chen, L.; Zhang, X.; Wei, W.; Liu, R.; et al. Oriented collagen fibers direct tumor cell intravasation. Proc. Natl. Acad. Sci. USA 2016, 113, 11208–11213. [Google Scholar] [CrossRef] [PubMed]
  15. Genovese, L.; Zawada, L.; Tosoni, A.; Ferri, A.; Zerbi, P.; Allevi, R.; Nebuloni, L.; Alfano, M. Cellular Localization, Invasion, and Turnover Are Differently Influenced by Healthy and Tumor-Derived Extracellular Matrix. Tissue Eng. Part A 2014, 20, 2005. [Google Scholar] [CrossRef] [PubMed]
  16. Alfano, M.; Nebuloni, M.; Allevi, R.; Zerbi, P.; Longhi, E.; Luciano, R.; Locatelli, I.; Pecoraro, A.; Indrieri, M.; Speziali, C.; et al. Linearized texture of three-dimensional extracellular matrix is mandatory for bladder cancer cell invasion. Sci. Rep. 2016, 6, 36128. [Google Scholar] [CrossRef] [PubMed]
  17. Nebuloni, M.; Albarello, L.; Andolfo, A.; Magagnotti, C.; Genovese, L.; Locatelli, I.; Tonon, G.; Longhi, E.; Zerbi, P.; Allevi, R.; et al. Insight on Colorectal Carcinoma Infiltration by Studying Perilesional Extracellular Matrix. Sci Rep. 2016, 6, 22522. [Google Scholar] [CrossRef] [PubMed]
  18. Fan, Q.; Liu, R.; Jiao, Y.; Tian, C.; Farrell, J.D.; Diao, W.; Wang, X.; Zhang, F.; Yuan, W.; Han, H. A novel 3-D bio-microfluidic system mimicking in vivo heterogeneous tumour microstructures reveals complex tumour-stroma interactions. Lab Chip 2017. [Google Scholar] [CrossRef] [PubMed]
  19. Sung, K.E.; Beebe, D.J. Microfluidic 3D models of cancer. Adv. Drug Deliv. Rev. 2014, 68–78. [Google Scholar] [CrossRef] [PubMed]
  20. Muthuswamy, S.K. 3D culture reveals a signaling network. Breast Cancer Res. 2011, 13, 103. [Google Scholar] [CrossRef] [PubMed]
  21. Patil, P.U.; Dambrosio, J.; Inge, L.J.; Mason, R.W.; Rajasekaran, A.K. Carcinoma cells induce lumen filling and EMT in epithelial cells through soluble E-cadherin-mediated activation of EGFR. J. Cell Sci. 2015, 128, 4366–4379. [Google Scholar] [CrossRef] [PubMed]
  22. Tanner, K.; Gottesman, M.M. Beyond 3D culture models of cancer. Sci. Transl. Med. 2015, 7. [Google Scholar] [CrossRef] [PubMed]
  23. Bao, M.; Xie, J.; Piruska, A.; Wts, H. 3D microniches reveal the importance of cell size and shape. Nature Commun. 2017. [Google Scholar] [CrossRef] [PubMed]
  24. Ebrahimkhani, M.R.; Neiman, J.A.; Raredon, M.S.; Hughes, D.J.; Griffith, L.G. Bioreactor Technologies to Support Liver Function in vitro. Adv. Drug Deliv. Rev. 2014, 132–157. [Google Scholar] [CrossRef] [PubMed]
  25. Esch, M.B.; King, T.L.; Shuler, M.L. The Role of Body-on-a-Chip Devices in Drug and Toxicity Studies. Annu. Rev. Biomed. Eng. 2011, 13, 55–72. [Google Scholar] [CrossRef] [PubMed]
  26. Wong, A.P.; Perezcastillejos, R.; Love, J.C.; Whitesides, G.M. Partitioning microfluidic channels with hydrogel to construct tunable 3-D cellular microenvironments. Biomaterials 2008, 29, 1853–1861. [Google Scholar] [CrossRef] [PubMed]
  27. Hu, W.; Ishii, K.S.; Fan, Q.; Ohta, A.T. Hydrogel microrobots actuated by optically generated vapour bubbles. Lab Chip 2012, 12, 3821–3826. [Google Scholar] [CrossRef] [PubMed]
  28. Hahan, N.P.; Dolega, M.E.; Liguori, L.; Marquette, C.; Gac, S.L.; Gidrol, X.; Martin, D.K. A 3D Toolbox to Enhance Physiological Relevance of Human Tissue Models. Trends Biotechnol. 2016, 34, 757–769. [Google Scholar]
  29. Jia, C.; Luo, B.; Wang, H.; Bian, Y.; Li, X.; Li, S.; Wang, H. Precise and Arbitrary Deposition of Biomolecules onto Biomimetic Fibrous Matrices for Spatially Controlled Cell Distribution and Functions. Adv. Mater. 2017, 1701154. [Google Scholar] [CrossRef] [PubMed]
  30. Loo, Y.; Hauser, C.A. Bioprinting synthetic self-assembling peptide hydrogels for biomedical applications. Biomed. Mater. 2015, 11. [Google Scholar] [CrossRef] [PubMed]
  31. Murphy, S.V.; Atala, A. 3D bioprinting of tissues and organs. Nat. Biotechnol. 2014, 32, 773–785. [Google Scholar] [CrossRef] [PubMed]
  32. Ozbolat, I.T. Bioprinting scale-up tissue and organ constructs for transplantation. Trends Biotechnol. 2015, 33, 395–400. [Google Scholar] [CrossRef] [PubMed]
  33. Boghaert, E.; Gleghorn, J.P.; Lee, K.; Gjorevski, N.; Radisky, D.C.; Nelson, C.M. Host epithelial geometry regulates breast cancer cell invasiveness. Proc. Natl. Acad. Sci. USA 2012, 109, 19632–19637. [Google Scholar] [CrossRef] [PubMed]
  34. Zhu, J.; Liang, L.; Jiao, Y.; Liu, L. Enhanced Invasion of Metastatic Cancer Cells via Extracellular Matrix Interface. PLoS ONE 2015, 10. [Google Scholar] [CrossRef] [PubMed]
  35. Lee, J.S.; Romero, R.; Han, Y.M.; Kim, H.C.; Kim, C.J.; Hong, J.S.; Huh, D. Placenta-on-a-chip: A novel platform to study the biology of the human placenta. J. Matern. Fetal Neonatal Med. 2016, 29, 1046–1054. [Google Scholar] [CrossRef] [PubMed]
  36. Kraning-Rush, C.M.; Carey, S.P.; Lampi, M.C.; Reinhart-King, C.A. Microfabricated collagen tracks facilitate single cell metastatic invasion in 3D. Integr. Biol. 2013, 5, 606–616. [Google Scholar] [CrossRef] [PubMed]
  37. Soman, P.; Kelber, J.A.; Lee, J.W.; Wright, T.N.; Vecchio, K.S.; Klemke, R.L.; Chen, S. Cancer cell migration within 3D layer-by-layer microfabricated photocrosslinked PEG scaffolds with tunable stiffness. Biomaterials 2012, 3, 7064–7070. [Google Scholar] [CrossRef] [PubMed]
  38. Sie, Y.D.; Li, Y.C.; Chang, N.S.; Campagnola, P.J.; Chen, S.J. Fabrication of three-dimensional multi-protein microstructures for cell migration and adhesion enhancement. Biomed. Opt. Express 2015, 6, 480–490. [Google Scholar] [CrossRef] [PubMed]
  39. Markovic, M.; Van Hoorick, J.; Holzl, K.; Tromayer, M.; Gruber, P.M.; Nurnberger, S.; Dubruel, P.; Vlierberghe, S.V.; Liska, R.; Ovsianikov, A. Hybrid Tissue Engineering Scaffolds by Combination of Three-Dimensional Printing and Cell Photoencapsulation. J. Nanotechnol. Eng. Med. 2015, 6, 210011–210017. [Google Scholar] [CrossRef] [PubMed]
  40. Casey, J.; Yue, X.; Nguyen, T.D.; Acun, A.; Zellmer, V.R.; Zhang, S.; Zorlutuna, P. 3D hydrogel-based microwell arrays as a tumor microenvironment model to study breast cancer growth. Biomed. Mater. 2017, 12, 025009. [Google Scholar] [CrossRef] [PubMed]
  41. Alobaidi, A.A.; Sun, B. Probing three-dimensional collective cancer invasion with DIGME. Cancer Converg. 2017, 1. [Google Scholar] [CrossRef]
  42. Alobaidi, A.A.; Xu, Y.; Chen, S.; Jiao, Y.; Sun, B. Probing cooperative force generation in collective cancer invasion. Phys. Biol. 2017, 14, 045005. [Google Scholar] [CrossRef] [PubMed]
  43. Bissell, M.J.; Radisky, D.C. Putting tumours in context. Nat. Rev. Cancer 2001, 1, 46–54. [Google Scholar] [CrossRef] [PubMed]
  44. Nelson, C.M.; VanDuijn, M.M.; Inman, J.L.; Fletcher, D.A.; Bissell, M.J. Tissue Geometry Determines Sites of Mammary Branching Morphogenesis in Organotypic Cultures. Science 2006, 314, 298–300. [Google Scholar] [CrossRef] [PubMed]
  45. Khademhosseini, A.; Langer, R. Microengineered hydrogels for tissue engineering. Biomaterials 2007, 28, 5087–5092. [Google Scholar] [CrossRef] [PubMed]
  46. Lee, K.Y.; Mooney, D.J. Hydrogels for Tissue Engineering. Chem. Rev. 2001, 101, 1869–1879. [Google Scholar] [CrossRef] [PubMed]
  47. Willerth, S.M.; Arendas, K.J.; Gottlieb, D.I.; Sakiyama-Elbert, S.E. Optimization of Fibrin Scaffolds for Differentiation of Murine Embryonic Stem Cells into Neural Lineage Cells. Biomaterials 2006, 27, 5990–6003. [Google Scholar] [CrossRef] [PubMed]
  48. Raeber, G.P.; Lutolf, M.P.; Hubbell, J.A. Molecularly engineered PEG hydrogels: A novel model system for proteolytically mediated cell migration. Biophys. J. 2005, 89, 1374–1388. [Google Scholar] [CrossRef] [PubMed]
  49. Ma, P.X.; Choi, J. Biodegradable Polymer Scaffolds with Well-Defined Interconnected Spherical Pore Network. Tissue Eng. 2001, 7, 23–33. [Google Scholar] [CrossRef] [PubMed]
  50. Kuntz, R.M.; Saltzman, W.M. Neutrophil motility in extracellular matrix gels: Mesh size and adhesion affect speed of migration. Biophys. J. 1997, 72, 1472–1480. [Google Scholar] [CrossRef]
  51. Fedorovich, N.E.; Wijnberg, H.M.; Dhert, W.J.; Alblas, J. Distinct Tissue Formation by Heterogeneous Printing of Osteo- and Endothelial Progenitor Cells. Tissue Eng. Part A 2011, 17, 2113–2121. [Google Scholar] [CrossRef] [PubMed]
  52. Yan, K.C.; Nair, K.; Sun, W. Three dimensional multi-scale modelling and analysis of cell damage in cell-encapsulated alginate constructs. J. Biomech. 2010, 43, 1031–1038. [Google Scholar] [PubMed]
  53. Cheng, J.; Lin, F.; Liu, H.; Yan, Y.; Wang, X.; Zhang, R.; Xiong, Z. Rheological Properties of Cell-Hydrogel Composites Extruding Through Small-Diameter Tips. J. Manuf. Sci. Eng. 2008, 130, 021014. [Google Scholar] [CrossRef]
  54. Yan, Y.; Wang, X.; Pan, Y.; Liu, H.; Cheng, J.; Xiong, Z.; Lin, F.; Wu, R.; Zhang, R.; Lu, Q. Fabrication of viable tissue-engineered constructs with 3D cell-assembly technique. Biomaterials 2005, 26, 5864–5871. [Google Scholar] [CrossRef] [PubMed]
  55. Xu, W.; Wang, X.; Yan, Y.; Zheng, W.; Xiong, Z.; Lin, F.; Wu, R.; Zhang, R. Rapid Prototyping Three-Dimensional Cell/Gelatin/Fibrinogen Constructs for Medical Regeneration. J. Bioact. Compat. Polym. 2007, 22, 363–377. [Google Scholar] [CrossRef]
  56. Jaeger, A.A.; Das, C.K.; Morgan, N.Y.; Pursley, R.; Mcqueen, P.G.; Hall, M.D.; Pohida, T.J.; Gottesman, M.M. Microfabricated polymeric vessel mimetics for 3-D cancer cell culture. Biomaterials 2013, 34, 8301–8313. [Google Scholar] [CrossRef] [PubMed]
  57. Baker, B.M.; Trappmann, B.; Stapleton, S.C.; Toro, E.; Chen, C.S. Microfluidics embedded within extracellular matrix to define vascular architectures and pattern diffusive gradients. Lab Chip 2013, 13, 3246–3252. [Google Scholar] [CrossRef] [PubMed]
  58. Kim, S.H.; Chi, M.; Yi, B.; Kim, S.H.; Oh, S.; Kim, Y.; Park, S.; Sung, J.H. Three-dimensional intestinal villi epithelium enhances protection of human intestinal cells from bacterial infection by inducing mucin expression. Integr. Biol. 2014, 6, 1122–1131. [Google Scholar] [CrossRef] [PubMed]
  59. Sung, J.H.; Yu, J.; Luo, D.; Shuler, M.L.; March, J.C. Microscale 3-D hydrogel scaffold for biomimetic gastrointestinal (GI) tract model. Lab Chip 2011, 11, 389–392. [Google Scholar] [CrossRef] [PubMed]
  60. Pavithra, V.; Sowmya, S.V.; Rao, R.S.; Patil, S.; Augustine, D.; Haragannavar, V.C.; Nambiar, S.K. Tumor-associated Collagen Signatures: An Insight. World J. Dent. 2017, 8, 224–230. [Google Scholar] [CrossRef]
  61. Gillette, B.M.; Jensen, J.A.; Tang, B.; Yang, G.J.; Bazarganlari, A.; Zhong, M.; Sia, S.K. In situ collagen assembly for integrating microfabricated three-dimensional cell-seeded matrices. Nat. Mater. 2008, 7, 636–640. [Google Scholar] [CrossRef] [PubMed]
  62. Alexandra, S.P.; Nerger, B.A.; Wolf, A.E.; Sundaresan, S.; Nelson, C.M. Dynamics of Tissue-Induced Alignment of Fibrous Extracellular Matrix. Biophys. J. 2017, 113, 702–713. [Google Scholar]
  63. Lee, V.K.; Lanzi, A.M.; Ngo, H.; Yoo, S.; Vincent, P.A.; Dai, G. Generation of Multi-Scale Vascular Network System within 3D Hydrogel using 3D Bio-Printing Technology. Cell. Mol. Bioeng. 2014, 7, 460–472. [Google Scholar] [CrossRef] [PubMed]
  64. Liu, L.; Duclos, G.; Sun, B.; Lee, J.; Wu, A.; Kam, Y.; Sontag, E.D.; Stone, H.A.; Sturm, J.C.; Gatenby, R.A.; Austin, R.H. Minimization of thermodynamic costs in cancer cell invasion. Proc. Natl. Acad. Sci. USA 2013, 110, 1686–1691. [Google Scholar] [CrossRef] [PubMed]
  65. Scadden, D.T. The stem-cell niche as an entity of action. Nature 2006, 441, 1075–1079. [Google Scholar] [CrossRef] [PubMed]
  66. Lee, J.; Lilly, G.D.; Doty, R.C.; Podsiadlo, P.; Kotov, N.A. In vitro toxicity testing of nanoparticles in 3D cell culture. Small 2009, 5, 1213–1221. [Google Scholar] [CrossRef] [PubMed]
  67. Li, C.Y.; Wood, D.K.; Hsu, C.M.; Bhatia, S.N. DNA-templated assembly of droplet-derived PEG microtissues. Lab Chip 2011, 11, 2967–2975. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Vazquez, A.; Liu, J.; Zhou, Y.; Oltvai, Z.N. Catabolic efficiency of aerobic glycolysis: The Warburg effect revisited. BMC Syst. Biol. 2010, 4, 58. [Google Scholar] [CrossRef] [PubMed]
  69. Fong, E.L.; Lamhamedicherradi, S.E.; Burdett, E.; Ramamoorthy, V.; Lazar, A.J.; Kasper, F.K.; Farachcarson, M.C.; Vishwamitra, D.; Demicco, E.G.; Menegaz, B.A.; et al. Modeling Ewing sarcoma tumors in vitro with 3D scaffolds. Proc. Natl. Acad. Sci. USA 2013, 110, 6500–6505. [Google Scholar] [CrossRef] [PubMed]
  70. Zervantonakis, I.K.; Hughesalford, S.K.; Charest, J.L.; Condeelis, J.; Gertler, F.B.; Kamm, R.D. Three-dimensional microfluidic model for tumor cell intravasation and endothelial barrier function. Proc. Natl. Acad. Sci. USA 2012, 109, 13515–13520. [Google Scholar] [CrossRef] [PubMed]
  71. Bryony, S.W.; Werb, Z. Stromal Effects on Mammary Gland Development and Breast Cancer. Science 2002, 296, 1046–1049. [Google Scholar]
  72. Saha, S.; Duan, X.; Wu, L.; Lo, P.; Chen, H.; Wang, Q. Electrospun fibrous scaffolds promote breast cancer cell alignment and epithelial-mesenchymal transition. Langmuir 2012, 28, 2028–2034. [Google Scholar] [CrossRef] [PubMed]
  73. Marsha, C.L.; Cynthia, A. Reinhart-King, Targeting extracellular matrix stiffness to attenuate disease: From molecular mechanisms to clinical trials. Sci Transl. Med. 2018, 10, eaao0475. [Google Scholar] [CrossRef]
  74. Potente, M.; Gerhardt, H.; Carmeliet, P. Basic and Therapeutic Aspects of Angiogenesis. Cell 2011, 146, 873–887. [Google Scholar] [CrossRef] [PubMed]
  75. Lagory, E.L.; Giaccia, A.J. The ever-expanding role of HIF in tumour and stromal biology. Nat. Cell Biol. 2016, 18, 356–365. [Google Scholar] [CrossRef] [PubMed]
  76. Michele, D.P.; Biziato, D.; Petrova, T.V. Microenvironmental regulation of tumour angiogenesis. Nat. Rev. Cancer 2017, 17. [Google Scholar] [CrossRef]
  77. Mason, B.N.; Starchenko, A.; Williams, R.M.; Bonassar, L.J.; Reinhartking, C.A. Tuning three-dimensional collagen matrix stiffness independently of collagen concentration modulates endothelial cell behavior. Acta Biomater. 2013, 9, 4635–4644. [Google Scholar] [CrossRef] [PubMed]
  78. Skardal, A.; Mack, D.L.; Kapetanovic, E.; Atala, A.; Jackson, J.D.; Yoo, J.J.; Soker, S. Bioprinted Amniotic Fluid-Derived Stem Cells Accelerate Healing of Large Skin Wounds. Stem Cell. Transl. Med. 2012, 1, 792–802. [Google Scholar] [CrossRef] [PubMed]
  79. Dolega, M.E.; Abeille, F.; Picolletdhahan, N.; Gidrol, X. Controlled 3D culture in Matrigel microbeads to analyze clonal acinar development. Biomaterials 2015, 52, 347–357. [Google Scholar] [CrossRef] [PubMed]
  80. Fung, W.; Beyzavi, A.; Abgrall, P.; Nguyen, N.; Li, H. Microfluidic platform for controlling the differentiation of embryoid bodies. Lab Chip 2009, 9, 2591–2595. [Google Scholar] [CrossRef] [PubMed]
  81. Wu, K.; Mei, C.; Lin, C.; Yang, K.; Yu, J. The influence of bubble size on chondrogenic differentiation of adipose-derived stem cells in gelatin microbubble scaffolds. J. Mater. Chem. B 2018, 6, 125–132. [Google Scholar] [CrossRef]
  82. Mahadik, B.P.; Wheeler, T.D.; Skertich, L.J.; Kenis, P.J.; Harley, B.A. Microfluidic generation of gradient hydrogels to modulate hematopoietic stem cell culture environment. Adv. Healthc. Mater. 2014, 3, 449–458. [Google Scholar] [CrossRef] [PubMed]
  83. Huang, X.; Hou, Y.; Zhong, L.; Huang, D.; Qian, H.; Karperien, M.; Chen, W. Promoted Chondrogenesis of Cocultured Chondrocytes and Mesenchymal Stem Cells under Hypoxia Using In-situ Forming Degradable Hydrogel Scaffolds. Biomacromolecules 2018, 19, 94–102. [Google Scholar] [CrossRef] [PubMed]
  84. Lancaster, M.A.; Renner, M.; Martin, C.; Wenzel, D.; Bicknell, L.S.; Hurles, M.E.; Homfray, T.; Penninger, J.M.; Jackson, A.P.; Knoblich, J.A. Cerebral organoids model human brain development and microcephaly. Nature 2013, 501, 373–379. [Google Scholar] [CrossRef] [PubMed]
Ijms 19 00935 g001 550
Figure 1. Diverse microfabrication techniques to recreate 3-D ECM microenvironments in vitro. (A) Microfluidics is used to build 3-D sandwiched ECM formed by collagen and Matrigel (i). An aligned collagen fiber zone is established at the surface (ii) [14]; (B) A multiscale vascular system with collagen as ECM is produced by using the 3-D bioprinting technology [63]; (C) Photochemistry is used to build 3-D patterned hydrogels as scaffolds with a range of different geometries (i). The size and shape of the cells is controlled inside microniche chambers (ii). Scale bar: 100 μm [23]; (D) A glucose gradient is established in the microfluidic chip, with collagen as the ECM. The system is used to study the trend of collective invasion of cancer cells. The cartoon of device is shown in (i), and the corresponding 3-D view is shown in (ii) [64]. All figures shown here are reproduced with permission from copyright owner.
Figure 1. Diverse microfabrication techniques to recreate 3-D ECM microenvironments in vitro. (A) Microfluidics is used to build 3-D sandwiched ECM formed by collagen and Matrigel (i). An aligned collagen fiber zone is established at the surface (ii) [14]; (B) A multiscale vascular system with collagen as ECM is produced by using the 3-D bioprinting technology [63]; (C) Photochemistry is used to build 3-D patterned hydrogels as scaffolds with a range of different geometries (i). The size and shape of the cells is controlled inside microniche chambers (ii). Scale bar: 100 μm [23]; (D) A glucose gradient is established in the microfluidic chip, with collagen as the ECM. The system is used to study the trend of collective invasion of cancer cells. The cartoon of device is shown in (i), and the corresponding 3-D view is shown in (ii) [64]. All figures shown here are reproduced with permission from copyright owner.
Ijms 19 00935 g001
Ijms 19 00935 g002 550
Figure 2. New discoveries about cancer and other diseases based on 3-D ECM systems in vitro. (A1) Spatiotemporal interactions between breast cancer cells and stromal cells are studied in a coculture system established by 3-D bioprinting technology. Cancer cells could recruit the stromal cells by differentiating into α-SMA positive cells, dashed line circle indicates the colony formed by cancer cells. (A2) Cancer cells (MCF-7) and stromal cells are co-cultured with high seeding density on the polycaprolactone nanofiber matrices. (i-iii) show the fluorescence images after co-cultured for 1 week to 3 weeks. The control seeding, without cancer cells, shows that only a small part of stromal cells became α-SMA-positive cells (iv) Scale bar: 100 μm [29]; (B) Using a 3D ECM of collagen, a glucose gradient is established for studying the collective invasion of cancer cells. Scale bar: 150 μm [64]; (C) A 3-D funnel-like Matrigel interface is created inside the ECM microenvironment. Through the complex and heterogeneous 3-D ECM microenvironment, ECM heterogeneity is proved to be an essential element in controlling collective cell invasive behaviors, red dashed circle indicates the network and connection of invading cells with other invading branches, and black arrow shows the cell plane. [34]; (D) A complex concentration gradient of specific biological molecules is built in a 3-D microfluidic system including microchamber arrays. Matrix Metalloproteinases (MMPs) produced by cancer cells are proven to play a dominant role in determining cellular behavior through the control of E-cad expression [18]; (E) Using a system made by bioprinting, cancer cells are shown to regulate angiogenesis through secretion. Cancer cells and endothelial cells are seeded far from each other (E1). Endothelial cells are found to sprout toward the cancer clusters. (E2) The fluorescence images of coculture of cancer cells and endothelial cells (i), and the control group of endothelial cells only (ii). Scale bar: 100 μm [29]. All figures shown here are reproduced with permission from copyright owner.
Figure 2. New discoveries about cancer and other diseases based on 3-D ECM systems in vitro. (A1) Spatiotemporal interactions between breast cancer cells and stromal cells are studied in a coculture system established by 3-D bioprinting technology. Cancer cells could recruit the stromal cells by differentiating into α-SMA positive cells, dashed line circle indicates the colony formed by cancer cells. (A2) Cancer cells (MCF-7) and stromal cells are co-cultured with high seeding density on the polycaprolactone nanofiber matrices. (i-iii) show the fluorescence images after co-cultured for 1 week to 3 weeks. The control seeding, without cancer cells, shows that only a small part of stromal cells became α-SMA-positive cells (iv) Scale bar: 100 μm [29]; (B) Using a 3D ECM of collagen, a glucose gradient is established for studying the collective invasion of cancer cells. Scale bar: 150 μm [64]; (C) A 3-D funnel-like Matrigel interface is created inside the ECM microenvironment. Through the complex and heterogeneous 3-D ECM microenvironment, ECM heterogeneity is proved to be an essential element in controlling collective cell invasive behaviors, red dashed circle indicates the network and connection of invading cells with other invading branches, and black arrow shows the cell plane. [34]; (D) A complex concentration gradient of specific biological molecules is built in a 3-D microfluidic system including microchamber arrays. Matrix Metalloproteinases (MMPs) produced by cancer cells are proven to play a dominant role in determining cellular behavior through the control of E-cad expression [18]; (E) Using a system made by bioprinting, cancer cells are shown to regulate angiogenesis through secretion. Cancer cells and endothelial cells are seeded far from each other (E1). Endothelial cells are found to sprout toward the cancer clusters. (E2) The fluorescence images of coculture of cancer cells and endothelial cells (i), and the control group of endothelial cells only (ii). Scale bar: 100 μm [29]. All figures shown here are reproduced with permission from copyright owner.
Ijms 19 00935 g002
Table
Table 1. Methods and materials used to engineer 3-D cancer or other disease models.
Table 1. Methods and materials used to engineer 3-D cancer or other disease models.
TechniqueMethodMaterial
3-D bioprintingBIP (bioink printing) [29]
Extrusion printing [51]
Laser-assisted bioprinting [37,38]
Microvalve printing [52,53,54,55]		Hydrogel Biomolecular ink [29]
Matrigel alginate [51]
Chitosan [52]
Gelatin [52]
Alginate [54]
Fibrinogen [55]
microfluidicsSoft lithography [33,35,36,56,57,58,59]Matrigel [58]
Collagen [18,33,35,57]
Gelatin [57]
Calcium alginate [58,59]
photochemistryFLDW (femtosecond laser direct writing) [38]
DMD-PP process(digital micromirror device-based projection printing) [37]
UV-light exporsure [39]		BSA [38]
Fibronectin [38]
Polyethylene glycol (PEG) [37]
Poly(ethylene glycol) diacrylate (PEGDA) [37]
Methacrylamide-modified gelatin or hydrogel [39]
Table
Table 2. Strengths and limitations of each technique.
Table 2. Strengths and limitations of each technique.
TechniqueStrengthLimitation
3-D bioprintingFlexibleUnable to achieve accuracy at less than 50 μm (the highest accuracy is inkjet printing in publishing).
The temperature is not easy to control precisely.
High cost.
microfluidicsHigh precision
Stable		Structures are limited, e.g., multilayers, lumen.
photochemistryCuring fast
High precision		Limited by optical characteristics.
Must be combined with other technologies, e.g., 3-D printing, to achieve high accuracy and flexible structure.

Share and Cite

MDPI and ACS Style

Song, K.; Wang, Z.; Liu, R.; Chen, G.; Liu, L. Microfabrication-Based Three-Dimensional (3-D) Extracellular Matrix Microenvironments for Cancer and Other Diseases. Int. J. Mol. Sci. 2018, 19, 935. https://doi.org/10.3390/ijms19040935

AMA Style

Song K, Wang Z, Liu R, Chen G, Liu L. Microfabrication-Based Three-Dimensional (3-D) Extracellular Matrix Microenvironments for Cancer and Other Diseases. International Journal of Molecular Sciences. 2018; 19(4):935. https://doi.org/10.3390/ijms19040935

Chicago/Turabian Style

Song, Kena, Zirui Wang, Ruchuan Liu, Guo Chen, and Liyu Liu. 2018. "Microfabrication-Based Three-Dimensional (3-D) Extracellular Matrix Microenvironments for Cancer and Other Diseases" International Journal of Molecular Sciences 19, no. 4: 935. https://doi.org/10.3390/ijms19040935

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop