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The microenvironment of solid tumours is a critical contributor to the progression of tumours and offers a promising target for therapeutic intervention (Cox and Erler, 2011; Barker et al., 2012; Cox et al., 2016; Cox and Erler, 2016). The properties of the tumour microenvironment vary significantly from that of the original tissue in both biochemistry and biomechanics. At present, the complex interplay between the biomechanical properties of the microenvironment and tumour cell phenotype are under intense investigation. The ability to measure the biomechanical properties of tumour samples from cancer models will increase our understanding of their importance in solid tumour biology. Here we report a simple method to measure the viscoelastic properties of tumour specimens using a controlled strain rotational rheometer.
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[Abstract] The microenvironment of solid tumours is a critical contributor to the progression of tumours and offers a promising target for therapeutic intervention (Cox and Erler, 2011; Barker et al., 2012; Cox et al., 2016; Cox and Erler, 2016). The properties of the tumour microenvironment vary significantly from that of the original tissue in both biochemistry and biomechanics. At present, the complex interplay between the biomechanical properties of the microenvironment and tumour cell phenotype are under intense investigation. The ability to measure the biomechanical properties of tumour samples from cancer models will increase our understanding of their importance in solid tumour biology. Here we report a simple method to measure the viscoelastic properties of tumour specimens using a controlled strain rotational rheometer.
Keywords: Shear rheology, Tissue stiffness, Matrix remodeling, Collagen cross-linking, Lysyl oxidase, Breast cancer
[Background] The growth of solid tumours is accompanied by pathological remodelling of the native tissue (Cox and Erler, 2011; Bonnans et al., 2014). During progression, the local tissue environment experiences physical as well as biological changes, resulting in increased tissue stiffness (elastic modulus) (Humphrey et al., 2014). Alterations in the extracellular matrix lead to the generation of new tissue properties, which activate mechano-signalling pathways within tumour cells (DuFort et al., 2011). This outside-in signalling leads to altered behaviour, cell morphology, differentiation, proliferation, migration and stemness. In preclinical animal models of cancer, these changes have been shown to drive malignant progression and metastatic spread (Erler et al., 2006; Levental et al., 2009; Bonnans et al., 2014). Thus, as a result, the targeting of matrix remodelling and in particular stiffening has received substantial attention in recent years, and several clinical trials have been initiated (Barker et al., 2012; Baker et al., 2013; Cox et al., 2013; Miller et al., 2015; Madsen et al., 2015; Cox and Erler, 2016; Kai et al., 2016). The mechanical properties of the tumour microenvironment can readily be examined using approaches such as atomic force microscopy (AFM) and nanoindentation (Akhtar et al., 2009). These approaches provide nanometre resolution and concurrent measurement of the applied force with picoNewton resolution (Kasas and Dietler, 2008). However, AFM is not applicable to understand the elastic properties of larger 3D samples. The mechanical properties of bulk 3D tumour samples can be more accurately examined using shear rheology (Picout and Ross-Murphy, 2003). Rheology is the study of how a material deforms when forces are applied to them. Thus applying shear stress to a 3D matrix can determine the elastic modulus (stiffness) as well as viscous properties of a bulk 3D tumour tissue. In this protocol we describe a method to measure changes on tumour stiffness by shear rheology.
Materials and Reagents
Equipment
Procedure
This protocol describes the biomechanical interrogation of tissue samples, which can be obtained from a variety of sources. Here, we utilise the 4T1/BALB/c syngeneic orthotopic model of murine mammary carcinoma (Miller and Heppner, 1979; Cox et al., 2013; Cox et al., 2015), and a subcutaneous SW480/Nude model of human colorectal cancer which has been engineered to overexpress the matrix cross-linking enzyme lysyl oxidase (LOX) (Baker et al., 2011; Baker et al., 2013). High LOX expression in primary tumours has been shown to cross-link extracellular matrix components, in particular collagens, leading to increases in tensile strength of the tissues (Levental et al., 2009; Baker et al., 2011; Baker et al., 2013). Tumour tissue can be collected from any source, including Genetically Engineered Mouse Models (GEMMS), spontaneous models of cancer, as well as orthotopic and subcutaneous models of cancer (see Note 1). Whilst we demonstrate the approach with both a human colorectal cancer model and murine breast cancer model, any solid tumour tissue, including patient material, could be used providing tissue samples meet the following criteria: A. The tissue must be easily accessible for intact surgical resection. B. The tissue can be processed fresh immediately (see Notes 2-4). C. A minimum biopsy size of 8 mm in diameter and ≥ 1 mm thick can be obtained. D. Samples can be measured immediately (see Notes 2-4).
Data analysis
To ensure reliable data, be sure to perform at least five biological repeats within each experimental group with the appropriate controls. Extract the storage modulus (G’) at 1% strain for each repeat when comparing multiple tissue measurements (Figures 1I and 1J, right panels). Ensure a linear viscoelastic (storage modulus [G’]) response within the strain range evaluated (Figures 1I and 1J, left panels) (see Notes 5 and 6). If this is not the case disregard the measurement. If this is a recurrent issue, frequencies and strains will need to be optimised for the specific tissue under evaluation (see Note 5).
Notes
Recipes
Acknowledgments
This protocol has been adapted from previous published papers (Baker et al., 2013; Cox et al., 2013; Madsen et al., 2015). TRC is supported by an NHMRC New Investigator grant, Australia. CDM is supported by the Ragnar Söderberg Foundation, BioCARE, Cancerfonden, and Åke Wiberg foundation, all Sweden. We thank Lena Wullkopf, Biotech Research Innovation Centre, University of Copenhagen for assistance and also thank Professor Janine Erler at the Biotech Research & Innovation Centre, University of Copenhagen for providing access to the rheometer.
References
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