| Literature DB >> 35631616 |
Mohammad Khoonkari1,2, Dong Liang1, Marleen Kamperman2, Frank A E Kruyt1, Patrick van Rijn3,4.
Abstract
The biology and physics underlying glioblastoma is not yet completely understood, resulting in the limited efficacy of current clinical therapy. Recent studies have indicated the importance of mechanical stress on the development and malignancy of cancer. Various types of mechanical stress activate adaptive tumor cell responses that include alterations in the extracellular matrix (ECM) which have an impact on tumor malignancy. In this review, we describe and discuss the current knowledge of the effects of ECM alterations and mechanical stress on GBM aggressiveness. Gradual changes in the brain ECM have been connected to the biological and physical alterations of GBM cells. For example, increased expression of several ECM components such as glycosaminoglycans (GAGs), hyaluronic acid (HA), proteoglycans and fibrous proteins result in stiffening of the brain ECM, which alters inter- and intracellular signaling activity. Several mechanosensing signaling pathways have been identified that orchestrate adaptive responses, such as Hippo/YAP, CD44, and actin skeleton signaling, which remodel the cytoskeleton and affect cellular properties such as cell-cell/ECM interactions, growth, and migration/invasion of GBM cells. In vitro, hydrogels are used as a model to mimic the stiffening of the brain ECM and reconstruct its mechanics, which we also discuss. Overall, we provide an overview of the tumor microenvironmental landscape of GBM with a focus on ECM stiffening and its associated adaptive cellular signaling pathways and their possible therapeutic exploitation.Entities:
Keywords: adaptive cellular signaling; extracellular matrix stiffening; glioblastoma multiforme; mechanical stress; physics of cancer; tumor microenvironment
Year: 2022 PMID: 35631616 PMCID: PMC9145282 DOI: 10.3390/pharmaceutics14051031
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.525
Figure 1Physical traits of cancer. Solid stress, stiffness, fluid pressure, and microarchitecture are the four distinct physical cues which extensively drive GBM tumor progression. Among others, Extracellular matrix (ECM) stiffening directly links with the glioblastoma (GBM) stem cells invasiveness and motility. Figure is adapted from [15,20,22,23].
Figure 2Overexpression of the brain extracellular matrix (ECM) components drastically alters its composition, mechanics, and physiochemical properties. Increased expression of hyaluronic acid, tenascin-C, fibronectin, and brevican, stiffens the ECM, which generates mechanical stress. Increased expression of HA-related genes such as CD44, RHAMM, and HAS2, intensifies HA overexpression. In addition, elevated presence of MMPs initiates matrix protein degradation, which weakens the ECM opposing the stiffening phenomena. Figure adapted from [12,25,38,39].
Figure 3Impact of hyaluronic acid (HA) on GBM cells. HA, through increased expression of CD44 and RHAMM, coupled with active EGFR (dimerized), facilitates GBM cell motility, division, and proliferation. Figure adapted from [44,57,59,60,61].
Figure 4The brain ECM mechanics and microarchitecture in GBM. With extracellular matrix (ECM) alterations, as its stiffens, the brain tissue structure adopts confined spaces and reshapes its microarchitecture, generating compression and applying mechanical stresses to GSCs. Figure adapted from [73,78,80,81,82,83].
Figure 5Mechanotransduction in GBM cells. Extracellular matrix (ECM) stiffening applies mechanical stress to GBM cells which activates focal adhesion complex formation. Focal adhesion complexes transmit the mechanical stress to cytoskeleton and initiate the CSK remodeling, where F-actin polymerization is highlighted as the hub which orchestrates a metro-system connection between several adaptive cellular signaling pathways [19,20,101,103,120,121,122].
The five widely used materials as hydrogels to mimic the glioblastoma tumor microenvironment for cell studies. Advantages and limitations of each material are highlighted.
| Material | Advantages | Disadvantages |
|---|---|---|
| Hyaluronic Acid (HA) |
Easily tunable in properties with playing with HA molecular weight (Mw) Mimicking ECM stiffening with varying the HA concentration or density of crosslinking Mimicking the HA over-excess within the brain to study HA-related cell signaling pathways |
Complex chemistry for crosslinking (chemical modifications such as methacrylation is required) Low cell adhesion properties High degradation over time Unstable structure |
| Collagen |
Easy gelation with thermal crosslinking Easily tunable properties with chemical modification (methacrylation) Mimicking ECM stiffening in a wide range Stable structure with low degradation (Suitable for long time cell culture) Fully transparent (high resolution imaging) Close mimic of tissue mechanics |
Aligned nano-topography from its fibrous structure might promote cell migration as a false readout Poor mimic of native brain chemical composition |
| Gelatin–Methacrylate (GelMa) |
Easily tunable in stiffness Close mimic of tissue mechanics. Transparent (high resolution imaging) Suitable to use as a bioink for bioprinting High stability with low degradation |
Complex chemistry for gel preparation Not optimal crosslinking degree Poor mimic of native brain chemical composition Not compatible with several polymers and additives Presence of free ions |
| Brain Decellularized Tissue (dECM) |
Close mimic of the brain chemical composition with native properties High cell adhesion properties Compatible with many types of polymers to tune the properties and stiffness Close mimic for tissue microarchitecture Suitable scaffold for drug screening purposes |
Complex chemistry for gel preparation Decellularization process can damage proteins (depending on the procedure) Not transparent (imaging challenges) High degradation |
| Human Blood Plasma |
High cell adhesion properties Compatible with many types of polymers to tune the properties and stiffness Including growth factors and native tissue components Suitable scaffold for drug screening |
Cannot mimic the mechanics of the tissue Fast degradation Not transparent (imaging challenges) Complex chemistry Heterogeneous crosslinking |