Search tips
Search criteria 


Logo of ctiLink to Publisher's site
Clin Transl Immunology. 2016 May; 5(5): e78.
Published online 2016 May 13. doi:  10.1038/cti.2016.18
PMCID: PMC4910118

Neural regulation of cancer: from mechanobiology to inflammation

Tae-Hyung Kim,1,2 Amy C Rowat,2,3,6 and Erica K Sloan1,3,4,5,6,*


Despite recent progress in cancer research, the exact nature of malignant transformation and its progression is still not fully understood. Particularly metastasis, which accounts for most cancer death, is a very complex process, and new treatment strategies require a more comprehensive understanding of underlying regulatory mechanisms. Recently, the sympathetic nervous system (SNS) has been implicated in cancer progression and beta-blockers have been identified as a novel strategy to limit metastasis. This review discusses evidence that SNS signaling regulates metastasis by modulating the physical characteristics of tumor cells, tumor-associated immune cells and the extracellular matrix (ECM). Altered mechanotype is an emerging hallmark of cancer cells that is linked to invasive phenotype and treatment resistance. Mechanotype also influences crosstalk between tumor cells and their environment, and may thus have a critical role in cancer progression. First, we discuss how neural signaling regulates metastasis and how SNS signaling regulates both biochemical and mechanical properties of tumor cells, immune cells and the ECM. We then review our current knowledge of the mechanobiology of cancer with a focus on metastasis. Next, we discuss links between SNS activity and tumor-associated inflammation, the mechanical properties of immune cells, and how the physical properties of the ECM regulate cancer and metastasis. Finally, we discuss the potential for clinical translation of our knowledge of cancer mechanobiology to improve diagnosis and treatment.

More than four decades ago in 1971, U.S. President Richard Nixon signed the National Cancer Act, resolving to find cures to combat this devastating disease. Thanks to improved funding for cancer research and tremendous research efforts, we now have a much deeper knowledge of cancer etiology, pathogenesis, treatment and prevention. Indeed, an increasing body of research enables us to better understand the hallmark features of cancer and to devise therapeutics that target those characteristics of the disease.1 As a result, the number of cancer survivors in the U.S. has increased from 3 million in 1971 to 14.5 million in 2014.2 Despite this significant progress, we are still far from curing most forms of cancer. This is in part because we still do not have a fully integrated knowledge of cancer. Although our understanding of how individual characteristics, such as angiogenesis and inflammation, contribute to cancer progression has improved, additional factors that affect cancer progression have emerged, such as the physical properties of tumor cells and their microenvironment (Figure 1). In addition, it is becoming apparent that cancer outcomes are influenced by factors on multiple levels that range from subcellular (genetics and gene transcription) to psychosocial (behavior, diet, lifestyle factors and environmental exposure). In this review, we explore the influence of chronic stress as a physiological factor that influences cancer progression. We consider the impact of stress signaling through the sympathetic nervous system (SNS) on tumor cells and tumor-associated inflammation, and consider the possibility that stress regulates the physical properties of cells to influence metastasis and cancer progression.

Figure 1
Hallmarks of cancer. The original six hallmarks of cancer: (1) sustaining proliferative signaling, (2) evading growth suppressors, (3) activating invasion and metastasis, (4) enabling replicative immortality, (5) inducing angiogenesis and (6) resisting ...

The SNS and Cancer

Metastasis is a complex, multistep process in which tumor cells spread through the body via a process of detachment, intravasation, transit through systemic circulation, extravasation and colonization (Figure 2).3 Throughout these steps, the tumor microenvironment can impact tumor cell dissemination.4 Studies of physiological regulators of metastasis identify the SNS as a component of the tumor microenvironment that regulates multiple steps in metastasis.5, 6

Figure 2
Mechanical properties of cancer cells and the tumor microenvironment. The mechanical properties of cancer cells and the tumor microenvironment may be implicated in various steps of tumor metastasis. There is an interplay between tumor cells in the primary ...

The SNS mediates a stress response by releasing neurotransmitters, the catecholamines norepinephrine and epinephrine. These neurotransmitters are structurally similar and exert their effects by binding to adrenoceptors. Epinephrine is mainly secreted from the adrenal medulla, whereas norepinephrine is secreted from both the adrenal medulla and sympathetic nerve terminals.7 SNS nerve fibers can directly innervate tumor tissue and metastatic targets. When chronic stress activates the SNS, norepinephrine is released, which can bind directly to β-adrenoceptors on cancer cells.8 Various other types of cells are present in the tumor microenvironment, including immune cells, fibroblasts and endothelial cells.9 Each of those cell types also express β-adrenoceptors, allowing them to also respond to neurotransmitters.10 In addition to being released locally from nerve fibers in the proximity of cancer cells, epinephrine may be released systemically from the adrenal gland during times of stress11 and delivered through the vascular system to the tumor microenvironment.12

Accumulating evidence from preclinical studies demonstrates the important role of SNS signaling in regulating multiple hallmarks of cancer. The SNS may impact tumor progression by modulating systemic release of growth factors and mobilization of inflammatory cells. SNS nerve fibers in the liver and white adipose tissue release norepinephrine to trigger secretion of glucose, adipokines and pro-inflammatory cytokines into the bloodstream.13, 14 These factors may provide a growth stimulus to cancer cells and induce tumor-associated inflammation. In addition, SNS-mediated release of norepinephrine in the lymph nodes, spleen and bone marrow regulates differentiation and egress of immune cells. For example, SNS activation in the bone marrow stimulates myeloid lineage immune cells such as monocytes and neutrophils,15, 16 which can migrate into the tumor and promote metastasis.6 Activation of β-adrenoceptors promotes tumor cell dissemination by increasing the density of intratumoral blood and lymph vessels.17, 18 Inflammation can also promote SNS-dependent angiogenesis.6 SNS signaling also directly affects cancer cell behavior by increasing invadopodia formation, which facilitates invasion and escape from the tumor.19

Mechanobiology and Cancer

Although much is understood about how neural signaling regulates many aspects of tumor biology, less is known about how the SNS regulates the physical and mechanical properties of tumor cells and other cell types in the tumor microenvironment. The mechanical properties of cells determine how they sense and respond to external mechanical cues and play crucial roles in myriad biological functions.20 Mechanical phenotype or ‘mechanotype' is the inherent property of a cell that determines its capacity to deform: stiffer cells deform less in response to mechanical load compared to softer cells. Cells have both elastic and viscous characteristics, which are largely determined by three main classes of cytoskeletal proteins: filamentous actin (F-actin), intermediate filaments and microtubules. The contribution of these cytoskeletal components to the cell mechanotype depends on their expression levels, structure and organization, which can be modulated by filament crosslinkers (fascin, fimbrin, α-actinin, spectrin, filamin and dystrophin), motor proteins (myosins), as well as other regulatory proteins (Rho GTPases, profilin and cofilin). The nucleus is also emerging as a major factor in regulating cell deformability.21

The physical properties of cells and extracellular components in the tumor microenvironment may have functional consequences for cancer progression. As summarized in Figure 2, the mechanical properties of cancer cells and their surrounding environment could be implicated in many steps of metastasis.3 However, there is still much to learn about which factors regulate the mechanotypes of cancer cells and cells in the surrounding environment including tumor-associated immune cells. Until now, only a short list defines critical genes and signaling pathways that regulate cell mechanotype.22, 23, 24 Even less is known about extrinsic factors, such as physiological influences and environmental cues, which can also trigger changes in the mechanical properties of cells.25, 26

Expanding our knowledge of the physical factors that impact cancer progression will help us to achieve a more integrated understanding of this disease, ultimately allowing us to develop novel, more efficient therapeutic drugs and preventative strategies. Here we explore the hypothesis that the SNS—a physiological factor present in the tumor microenvironment—may influence cell mechanotype to impact tumor cell behavior and cancer progression.

We will review how SNS signaling through β-adrenoceptors regulates cancer cell structure and how cell mechanotype is linked to a malignant phenotype. Physical changes that occur during cancer progression in immune cells and the ECM will also be discussed. Finally, we will describe how an understanding of neural regulation of cancer mechanobiology provides new opportunities for therapeutic intervention, and new strategies for cancer diagnosis and prognosis.

Neural Signaling Regulates Tumor Cell Structure and Metastasis

A growing number of preclinical studies support the notion that SNS signaling regulates metastasis. Metastasis is responsible for 90% of deaths from solid cancers;27 once cancer metastasizes, there are limited treatment options. Studies using mouse models of cancer demonstrate that β-adrenergic signaling accelerates the progression of multiple types of cancer.5, 6, 17, 28, 29, 30, 31 For example, the experience of chronic stress or pharmacological activation of SNS pathways with β-adrenergic agonists, both increase tumor growth and metastatic dissemination. In many studies, metastasis is the key step in cancer progression, which is regulated by β-adrenergic signaling.5, 6, 17, 28 Importantly, mechanistic studies also demonstrate that inhibiting β-adrenergic signaling with β-blockers prevents the adverse effect of SNS signaling on cancer progression.5, 6, 17, 28, 29 In accordance with those preclinical data, epidemiological studies support the idea that pharmacological inhibition of β-adrenergic signaling improves cancer outcomes. Retrospective analyses of several cohorts show that cancer patients who are incidentally exposed to β-blockers for treatment of hypertension are likely to have reduced metastasis and improved survival (for summary of these studies, see ref. 32). Although these clinical findings are compelling, the results of these retrospective studies are limited to association and cannot demonstrate causality or define mechanism. Prospective randomized clinical studies will be essential to investigate causal relationships between stress signaling and cancer outcomes in patients.

At the cellular level, SNS signaling may regulate cancer progression by inducing physical changes in cancer cells. For example, preclinical studies show that SNS signaling increases invadopodia formation.19 These structural changes induce protrusions from the plasma membrane that enable tumor cells to localize cell-derived proteases and increase their capacity to invade.19 The formation of invadopodia is accompanied by changes in focal adhesions that reduce cell migration on two-dimensional surfaces. β-adrenergic regulation of focal adhesion kinase—a key protein in the formation of focal adhesions and invadopodia—also protects tumor cells from anoikis, which increases their survival in circulation and promotes metastasis.33

Although the effects of the SNS on cancer cell mechanotype remain to be investigated, activation of β-adrenoceptor signaling is known to regulate the mechanical properties of other cell types, including blood and muscle cells. Treating red blood cells and airway smooth muscle cells with the β-adrenoceptor agonist, isoproterenol, makes these cells more deformable.34, 35 In contrast, treating primary cardiomyocytes with the same drug makes these cells stiffer.36 These differences may reflect signaling from different β-adrenoceptor subtypes and/or the variations in readout from different measurement techniques that depend on time and length scales (Box 1). Taken together, these studies suggest that activation of β-adrenergic signaling plays a role in regulating the deformability of various cell types. Future studies to investigate the effects of β-adrenoceptor activation on the mechanical properties of cancer cells could provide insight into the mechanism of neural signaling in cancer progression.

Box 1 Measuring mechanotype

The mechanical properties of biological materials can be characterized using various techniques. Common methods to measure the mechanical properties of cells and protein networks are summarized in Figure 3 (for details, see review3). Many of these methods measure the displacement or change in shape of a cell or protein network in response to well-defined physical stresses. Atomic force microscopy is used to measure the viscoelastic properties of a single cell or protein network with displacements down to 1 nm. Other techniques, such as magnetic twisting cytometry and micropipette aspiration, can probe mechanical properties over length scales of 1–10 μm. The deformability of whole cells can also be measured by forcing cells to pass through smaller pores than cell size. For example, the parallel microfiltration method, which applies air pressure to a cell suspension to pass cells through a porous membrane, can measure the relative deformability of different cell samples.37 Microfluidic deformability cytometry measures whole-cell deformability by applying stretching extensional flow to single cells.42 Active forces generated by the cell can be probed by traction force microscopy, where displacements of the substrate that result from contractile forces of the cell are measured.

Cell Mechanotype in Malignant Transformation

Although the effect of SNS activation on tumor cell deformability is unknown, cell mechanotype appears to relate to invasive status.37, 38, 39 Recent experiments show that the invasive potential of cells correlates with their deformability: softer or more deformable cells are more invasive.38, 39 The increased invasive potential of softer cells may be explained by the idea that more deformable cells can move more easily through tight gaps, which could assist their escape from a primary tumor and invasion into surrounding ECM. There is also growing evidence from in vitro experiments that malignant cancer cells are softer or more deformable than benign cells. This is shown through experiments on human cell lines derived from various tissues using different mechanotyping methods, such as atomic force microscopy,40 optical stretching,41 deformability cytometry42 and parallel microfiltration37 (Box 1, Figure 3). Cell deformability is associated with the aggressiveness of tumor cells. For example, overexpression of key transcription factors (Snail, Slug and Zeb1) that are involved in epithelial-to-mesenchymal transition makes ovarian cancer cells softer.37 Human mammary carcinoma (MCF-7) cells are more deformable than their non-malignant mammary epithelial counterparts (MCF-10), and metastatic MCF-7 (modMCF-7) cells are even more deformable than the less invasive MCF-7 cells.38 Human lung adenocarcinoma cells with greater metastatic potential are also more deformable than their less metastatic counterparts.39 Human bladder epithelial cancer cells are more deformable than normal cells.43 Similarly, transformed fibroblasts are significantly more deformable than normal untransformed fibroblasts.38, 44 Taken together, malignant cells across various types of cancers are more deformable than normal cells. Moreover, more invasive tumor cells are softer or more compliant than less invasive tumor cells. However, it is still unclear whether increased cell deformability drives invasive potential and metastasis, or whether it is simply a byproduct of selective pressures that are applied during metastatic progression. Nevertheless, cell mechanotype provides information about the invasive capacity of cancer cells and is thus emerging as a complementary biomarker for malignancy; such information may be potentially important for cancer treatment and outcomes.

Figure 3
Methodology for measuring the mechanical properties of cells. Different methods are used for measuring mechanical properties of cells (See Box 1). Images are adapted from Servier Medical Art by Servier ( and ...

Deciphering the molecular origins of the altered mechanotype of malignant cells is a complex challenge. Mechanotype is an emergent property that can change as a result of multiple proteins, signaling pathways and other factors. Changes in the structure and organization of cytoskeletal networks are well known to alter cell mechanotype or deformability; such structural changes are also linked to malignant phenotype. For example, actin and microtubule content is increased in high grade colon cancer and ovarian cancer cells compared to low grade cancer cells.45, 46 Differences in cytoskeletal architecture also underlie variations in the deformability of melanoma cells; these structural alterations are associated with in vivo metastatic potential in mouse models.47 However, although changes in cytoskeletal architecture are often observed, they do not always correlate with the softer mechanotype of cancer cells: whereas mesenchymal-type ovarian cancer cells are consistently softer than their epithelial-type counterparts, there is no consistent pattern of actin distribution or microtubule organization that can explain the softer mechanotype.37 Cell mechanotype can thus provide unique information as a biomarker to classify the malignant status of a cell.

Cancer cell deformability also changes after treatment with chemotherapeutic agents. Considering that many chemotherapy drugs are designed to target cytoskeleton components and arrest cell division, it is not surprising that anti-tumor drugs can alter cancer cell mechanotype. For instance, taxanes and vinca alkaloids disrupt the structure and dynamic of microtubules, and result in inhibition of mitosis. The common chemotherapy compound, paclitaxel or Taxol, is widely used in ovarian, breast and non-small cell lung cancers. By binding to microtubules, this drug inhibits cell division, and also makes cells stiffer or less deformable at concentrations of 0.1 to 1 000 nM.37 Whereas other studies show that endometrial and cervical cancer cell lines treated with a much higher concentration (50 μM) of Taxol become softer, or more deformable.48 These results suggest that alteration in mechanotype with Taxol treatment is concentration dependent. Moreover, different cell types (SKOV3 and OVCA433 vs Ishikawa and HeLa) can exhibit different responses to the same drug. Different measurement techniques (parallel microfiltration vs atomic force microscopy) can also yield varying results depending on the length scale of deformation (Box 1). Nevertheless, anti-tumor reagents that target cytoskeletal components consistently alter the stiffness of cancer cells. Interestingly, chemotherapeutic reagents that do not target subcellular structures can also change the deformability of cancer cells. For example, the DNA intercalating agent daunorubicin (an anthracycline) and the corticosteroid dexamethasone both stiffen acute lymphoblastic leukemia and acute myeloid leukemia cells.49 Treatment of metastatic tumor cells from patient effusions and A549 human lung adenocarcinoma cells with green tea extract, which exhibits anti-cancer properties, causes these cells to be stiffer.50

Although the molecular mechanisms of these clear differences in the cancer cell mechanotype with transformation and with chemotherapy exposure are still not completely understood, the physical property of cells is emerging as a useful label-free biomarker. Currently, cancer diagnosis and prognosis rely on various methods including screening strategies, such as positron emission tomography, magnetic resonance imaging and mammogram, immunohistochemical staining for various biomarkers and analysis of genome sequences. These traditional approaches may be complemented by analysis of tumor mechanotype. For example, magnetic resonance elastography probes the elastic properties of breast tissues in vivo.51 For analysis of excised tumor cells, rapid, simple and scalable methods such as parallel microfiltration or microfluidic deformability cytometry could be used for diagnosis, prognosis and detecting effects of drug treatments in cancer patients.37, 42 High throughput analysis of cell mechanotype distinguishes circulating cancerous cells from normal cells in patients, and demonstrates how this approach can enhance the accuracy of pathological diagnosis, especially in borderline cases that are challenging to assess by visual inspection alone.52

SNS Regulates Tumor-Associated Inflammation: the Potential Role of Mechanotype

The tumor microenvironment is highly complex and dynamic. During tumor development, the local microenvironment evolves with crosstalk among various residing cells including tumor, endothelial, immune cells and fibroblasts. For example, tumor cells secrete chemotactic factors that recruit immune cells into the tumor microenvironment.53 The fate of carcinoma cells that leave the primary tumor is determined by the balance between tumor-promoting and tumor-suppressing immune cells, which regulate whether tumor cells will be eliminated by the immune system or escape immune surveillance. In the tumor microenvironment, heterogeneous populations of immune cells may be present that include both tumor-promoting immune cells (including M2 macrophages, myeloid derived suppressor cells and regulatory T cells) and tumor-suppressive immune cells (including natural killer cells and CD8+ T cells).54 However, accumulating evidence shows that tumor-promoting immune cells are selectively recruited to the established tumor parenchyma and promote tumor progression.54 Macrophages play a role in tumor progression as they are critical in inflammation, modulating tumor microenvironment and promoting metastasis.55 In a highly pathogenic feedback loop, tumor cells respond to growth factors produced by immune cells—particularly M2-skewed macrophages—that drive tumor cell proliferation.56 These interactions between tumor cells and subverted macrophages also drive invasion of tumor cells, leading to increased metastasis.57 Hence, identifying factors that modulate the infiltration of immune cells into the tumor microenvironment is essential to eradicating cancer.

Recruitment of macrophages to tumors is regulated by SNS signaling, which accelerates metastasis6. Myeloid cells in bone marrow express β-adrenergic receptors allowing them to recognize SNS-derived signals in the form of stress neurotransmitters.58 β-adrenergic signaling thus induces recruitment of macrophages into the tumor parenchyma.6 Those tumor-associated macrophages facilitate pro-metastatic events, such as increased angiogenesis, remodeling of ECM, generation of pro-inflammatory environment, recruitment of immune and cancer cells, and inhibition of anti-tumor immune responses.6, 17, 59 Sensory neurons also play a well documented role in inflammation (see review60 for details), however, this review is focused on the role of SNS in tumor-associated inflammation.

Macrophages are not the only type of immune cell that are regulated by SNS signaling and contribute to cancer progression. Other tumor-associated immune cells, such as natural killer cells and T cells express β-adrenoceptors, and their function is sensitive to SNS signaling.61, 62 Studies in rat models of cancer show that neural signaling suppresses natural killer cell activity and compromises host resistance to natural killer-sensitive tumors.31 β-adrenergic activation by endogenous neurotransmitters directly inhibits the generation of anti-tumor cytotoxic T cells,63, 64 and blocks the recruitment of protective T cells into squamous cell carcinoma.65 This may be due, in part, to the limiting effects of β-adrenergic signaling on the egress of T lymphocytes from lymphoid organs.65 In addition, immune cells themselves synthesize and secrete catecholamines to communicate with other immune cells.66 Taken together, these data suggest that β-adrenergic activation either by SNS signaling or immune cells plays a critical role in directing the immune response in ways that favor escape from immune surveillance and promote tumor progression.

The changes in immune cell migration and recruitment to tumors that are activated by neural signaling are associated with cytoskeletal changes in immune cells. For example, factors that regulate immune cell chemotaxis to promote migration also induce structural changes in immune cells. The formation of filopodia-like projections allows immune cells to migrate in response to chemotactic molecular gradients and interact with pathogens.67, 68 Such changes in migration behavior are also associated with altered cytoskeletal structure,67, 69, 70, 71 which can also impact the mechanical properties of neutrophils, monocytes, dendritic cells and lymphocytes. For example, micropipette aspiration experiments show that cytoskeletal actin regulates macrophage deformability: macrophages treated with cytochalasin B are softer compared to vehicle-treated cells.72 In contrast, treatment with colchicine, a microtubule-disrupting agent, has no observable effect on cell deformability.72 These observations suggest that actin is a predominant regulator of macrophage deformability. Disrupting the connectivity between integrin and actin results in induction of a transcriptional program characteristic of migratory dendritic cells,70 suggesting that changes in gene expression underlie changes in immune cell migration. Given that the physical properties of immune cells are important for their function,73 a more complete understanding of the impact of neural signaling on immune cell mechanotype will be important to understand the impact of this physiological regulator on cancer progression.

Physical Properties of the ECM in Cancer Progression

The ECM is essential to every organ; this three-dimensional, non-cellular structure is generated during early developmental stages and plays a critical role in normal tissue development and function.74 In mammals, the ECM is composed of about 300 proteins including collagen, proteoglycans and glycoproteins, and provides physical support for tissue integrity and elasticity. ECM composition and structure are constantly remodeled by neighboring cells. For example, the ECM is composed of both soluble and insoluble factors that are secreted by stromal cells. To maintain homeostasis, tight regulation of ECM degradation and generation is required.75 However, an increasing number of studies suggest that dysregulated ECM remodeling, such as aberrant deposition and loss of ECM components, contributes to cancer progression.55

ECM stiffness plays a pivotal role in cancer progression.75, 76 In fact, palpation has been used for centuries to detect tumors, which are generally stiffer than normal tissue. The rigidity of tumors originates from the stiffer ECM due to desmoplasia.77 Changes in the rigidity of ECM can activate integrins and growth factor receptors, which then further alter matrix stiffness.40 This positive feedback loop can impact malignant transformation similar to oncogenic signaling pathways.77 For example, interstitial fibrosis promotes breast tumorigenesis by altering mammary ECM mechanics,78 and ECM stiffening is also implicated in human breast cancer invasion and aggression.55 The increased density of tumor ECM may also be a physical barrier to effective treatment by chemotherapy.79

The stiffness of surrounding ECM also provides mechanical cues to cancer cells. For example, cells alter their morphology and intracellular tension in response to the stiffness of their substrate. When normal mammary epithelial cells are cultivated in soft substrate, they form acinar structures, whereas these cells grow in a monolayer when they are cultured on a stiff surface.80 The mechanical properties of the cell nucleus, another major determinant of cell mechanical properties, are also directly influenced by matrix stiffness.81

Changes in the physical properties of the ECM may also influence the behavior of immune cells. Aberrant ECM stiffness and changes to ECM components in cancers may restrict or enhance immune cell migration.75 Lysyl oxidase secreted by hypoxic breast tumor cells mediates collagen crosslinking; and accumulated collagen deposition is found in cancers that have increased ECM stiffness.75 Increased density of ECM facilitates infiltration of tumor-promoting immune cells (CD11b+ myeloid cells) as they adhere to cross-linked collagen.82 The density and orientation of the ECM fibers can also regulate lymphocyte trafficking. T cells can migrate faster in ECM with loose fibronectin and collagen, whereas they migrate more slowly in dense ECM.83 Integrins that mediate cell–cell and cell–ECM adhesion are also expressed in immune cells and influence cell migration and retention. For example, CD8-T cells express integrin that bind to collagen and aid their retention in the tumor microenvironment.84 Furthermore, proteases secreted by cancer cells result in proteolysis and subsequent release of ECM fragments, which are known as matrikines; these regulate immune and pro-inflammatory cell behavior including immune cell migration. Such fragments of ECM and collagen that are generated by matrix metalloproteinases attract neutrophils to the sites of inflammation and promote dendritic cell egress.85 ECM molecules and their derivatives may also affect the function of immune cells to regulate tumor inflammation. Versican, a large ECM proteoglycan, is upregulated in many cancers and activates macrophages to produce interleukin-6 and tumor necrosis factor, thereby establishing a pro-inflammatory microenvironment.86 Taken together, these observations illustrate that ECM physical properties can regulate immune cell migration and direct immune responses, and thereby also affect cancer progression by determining how effectively the immune cells can infiltrate into the tumor.

Although cancer progression can be modulated by both the physical properties of the ECM and the SNS, it is still unclear how signaling from SNS may affect the ECM.87 But as SNS regulates growth factors and cytokines that can affect ECM remodeling, stress-responsive neural signaling may impact the physical properties of the ECM to affect cancer progression. For example, transforming growth factor-β (TGFβ) is implicated in the production and crosslinking of collagen in rat muscle cells.88 The expression of TGFβ is regulated by norepinephrine, where it is implicated in interstitial fibrosis associated with increased expression of ECM components such as fibronectin and TGFβ in rat hearts.89 These observations suggest that β-adrenergic signaling may regulate the density of components of the ECM.

Clinical Impact and Potential Targets for Therapeutic Benefit

Our current body of knowledge on neural regulation of cancer and mechanobiology provides several potential therapeutic interventions. Links between neural signaling and cell mechanotype suggest that modulating SNS signaling could be used to change the physical properties of tumor cells and tumor-associated immune cells to slow cancer progression and improve survival. This may be particularly useful in cancer subtypes with limited treatment options, such as triple negative breast cancer, in which β-blocker use is linked to improved outcome.90, 91 The role of cell mechanotype and cell–ECM interactions in modulating cancer progression suggests that monitoring the mechanotype of tumor cells or tumor-associated immune cells could complement other readouts of treatment efficacy. Until now, evidence that β-blockers improve survival in cancer patients comes from retrospective cohort datasets. Moreover, in vitro studies show that inhibition of β-adrenergic signaling reduces the invasive potential of cancer cells. It will be important to evaluate the effect of β-blockers on cancer cell mechanotype and the physical properties of cancer cells in patients, as well as on other cells including immune cells. Understanding how β-adrenoceptor subtypes modulate the physical properties of cells in the tumor microenvironment will also provide deeper insight into cancer progression. For example, our recent studies show a critical role for β2-adrenoceptor signaling in SNS regulation of cell structure and invasion;19, 92 The β3-adrenoceptor has also been implicated in cancer progression.30, 93

Pharmacological interventions that modulate cell or ECM mechanical properties could also be used to slow cancer progression. For example, ECM-modulating enzyme inhibitors (for example, inhibitors of matrix metalloproteases) effectively slow cancer progression in preclinical models of cancer, although their efficacy has been disappointing in the cancer clinic.94 However, recent Phase 2 clinical trials have evaluated the effects of simtuzumab, an antibody that inhibits lysyl oxidase-like 2, in colorectal adenocarcinoma and pancreatic adenocarcinoma (NCT01479465 and NCT01472198). The TGFβ-inhibitory antibody is also being evaluated in multiple cancers including breast, lung and glioma; TGFβ is critical for regulating the expression of proteins that comprise the ECM (NCT01401062, NCT02581787 and NCT01472731).

New technologies that probe cell mechanotype may be used to identify patients who may benefit from interventions that target the physical properties of cancer cells. For example, deformability cytometry can define whether cells from pleural effusions are malignant or benign.95 The observation that malignant cells are more deformable than normal cells38, 52 suggests that mechanical biomarkers may enhance diagnosis, either in a label-free manner or in combination with current immunohistological methods of diagnosis.

In addition, the mechanical properties of cells can be used as an indicator of drug response. As discussed earlier, many cancer drugs target the cytoskeleton and alter the viscoelastic properties of cells.37, 48, 96 Moreover, cell mechanotype can identify cells that are resistant to common chemotherapy drugs. Cisplatin-resistant ovarian cancer cells are less deformable due to modification of their actin cytoskeleton.97 The altered mechanotype of chemoresistant cells can be utilized in large-scale drug screening using cell deformability as a readout; mechanotype measurements are advantageous for high-throughput screening as an inexpensive, label-free approach. Indeed, we have identified compounds that reduce cell deformability from a small molecule mechanotype screen; these compounds also inhibit invasion and anchorage independent growth of tumor cells (unpublished data). Such a screening method may be adapted for use with clinical cancer samples to define the drug sensitivity of cancer cells from patients. This may help to guide choice of therapeutic strategies, which could address the challenge of chemoresistance in cancer treatment.

Cell mechanotype may also be used as a prognostic tool to identify patients with advanced disease. As metastasis accounts for most cancer deaths, secondary tumors are an important prognostic factor in cancer patients. As metastasizing cancer cells travel via the circulatory system, detection of circulating tumor cells (CTCs) in vasculature, is one way to predict the degree of metastasis. CTCs can be isolated based on their biophysical properties, as CTCs have greater nuclear to cytoplasmic ratio and are a larger size than normal cells.98 Cell mechanotype may thus be an effective prognostic biomarker for CTCs.98 In a similar way, detection of CTCs may be applied to determine the presence of residual cancer cells or relapse of tumor after treatment.

Significant advances in our understanding of cancer biology are emerging with expanded knowledge of cancer immunology and the development of techniques to evaluate the physical properties of tumor cells and their microenvironment. However, a deeper understanding of how physiological factors such as SNS signaling modulate mechanical properties of tumor cells, immune cells and the ECM will provide novel targets for new therapies that may help to treat metastasis and improve cancer survival. Cancer is a complex disease. Achieving a more integrated understanding of the relationships between physiological regulators and the physical properties of tumor cells and their environment will enable a more holistic perspective on cancer, and ultimately more effective treatments.


This work was funded by the Australian National Health and Medical Research Council (1008865, 1049561, 1082450), the National Cancer Institute (CA160890) and the National Science Foundation (CAREER DBI-1254185).

Author contributions

Tae-Hyung Kim, Amy Rowat and Erica Sloan wrote and edited the text. All authors approved the final manuscript.


The authors declare no conflict of interest.


  • Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011; 5: 646–674. [PubMed]
  • De Santis CE, Lin CC, Mariotto AB, Siegel RL, Stein KD, Kramer JL et al. Cancer treatment and survivorship statistics, 2014. CA Cancer J Clin 2014; 4: 252–271. [PubMed]
  • Wirtz D, Konstantopoulos K, Searson PC. The physics of cancer: the role of physical interactions and mechanical forces in metastasis. Nat Rev Cancer 2011; 7: 512–522. [PMC free article] [PubMed]
  • Chaudhuri O, Koshy ST, Branco da Cunha C, Shin JW, Verbeke CS, Allison KH et al. Extracellular matrix stiffness and composition jointly regulate the induction of malignant phenotypes in mammary epithelium. Nat Mater 2014; 10: 970–978. [PubMed]
  • Campbell JP, Karolak MR, Ma Y, Perrien DS, Masood-Campbell SK, Penner NL et al. Stimulation of host bone marrow stromal cells by sympathetic nerves promotes breast cancer bone metastasis in mice. PLoS Biol 2012; 7: e1001363. [PMC free article] [PubMed]
  • Sloan EK, Priceman SJ, Cox BF, Yu S, Pimentel MA, Tangkanangnukul V et al. The sympathetic nervous system induces a metastatic switch in primary breast cancer. Cancer Res 2010; 18: 7042–7052. [PMC free article] [PubMed]
  • Tank AW, Lee Wong D. Peripheral and central effects of circulating catecholamines. Compr Physiol 2015; 1: 1–15. [PubMed]
  • Hanoun M, Maryanovich M, Arnal-Estape A, Frenette PS. Neural regulation of hematopoiesis, inflammation, and cancer. Neuron 2015; 2: 360–373. [PMC free article] [PubMed]
  • Raffaghello L, Dazzi F. Classification and biology of tumour associated stromal cells. Immunol Lett 2015; 2: 175–182. [PubMed]
  • Bylund DB, Eikenberg DC, Hieble JP, Langer SZ, Lefkowitz RJ, Minneman KP et al. International Union of Pharmacology nomenclature of adrenoceptors. Pharmacol Rev 1994; 2: 121–136. [PubMed]
  • Stratakis CA, Chrousos GP. Neuroendocrinology and pathophysiology of the stress system. Ann N Y Acad Sci 1995; 771: 1–18. [PubMed]
  • Garcia-Sainz JA. Adrenaline and its receptors: one hundred years of research. Arch Med Res 1995; 3: 205–212. [PubMed]
  • Cao L, Liu X, Lin EJ, Wang C, Choi EY, Riban V et al. Environmental and genetic activation of a brain-adipocyte BDNF/leptin axis causes cancer remission and inhibition. Cell 2010; 1: 52–64. [PMC free article] [PubMed]
  • Cahova M, Palenickova E, Papackova Z, Dankova H, Skop V, Kazdova L. Epinephrine-dependent control of glucose metabolism in white adipose tissue: the role of alpha- and beta-adrenergic signalling. Exp Biol Med (Maywood) 2012; 2: 211–218. [PubMed]
  • Dutta P, Courties G, Wei Y, Leuschner F, Gorbatov R, Robbins CS et al. Myocardial infarction accelerates atherosclerosis. Nature 2012; 7407: 325–329. [PMC free article] [PubMed]
  • Powell ND, Sloan EK, Bailey MT, Arevalo JM, Miller GE, Chen E et al. Social stress up-regulates inflammatory gene expression in the leukocyte transcriptome via beta-adrenergic induction of myelopoiesis. Proc Natl Acad Sci USA 2013; 41: 16574–16579. [PubMed]
  • Thaker PH, Han LY, Kamat AA, Arevalo JM, Takahashi R, Lu C et al. Chronic stress promotes tumor growth and angiogenesis in a mouse model of ovarian carcinoma. Nat Med 2006; 8: 939–944. [PubMed]
  • Le CP, Nowell CJ, Kim-Fichs C, Botteri E, Hiller JG, Ismail H et al. Chronic stress in mice remodels lymph vasculature to promote tumour cell dissemination. Nat Commun. 2016; 7: 10634. [PMC free article] [PubMed]
  • Creed SJ, Le CP, Hassan M, Pon CK, Albold S, Chan KT et al. beta2-adrenoceptor signaling regulates invadopodia formation to enhance tumor cell invasion. Breast Cancer Res 2015; 1: 145. [PMC free article] [PubMed]
  • Hoffman BD, Crocker JC. Cell mechanics: dissecting the physical responses of cells to force. Annu Rev Biomed Eng 2009, 259–288. [PubMed]
  • Rowat AC, Jaalouk DE, Zwerger M, Ung WL, Eydelnant IA, Olins DE et al. Nuclear envelope composition determines the ability of neutrophil-type cells to passage through micron-scale constrictions. J Biol Chem 2013; 12: 8610–8618. [PMC free article] [PubMed]
  • Mierke CT, Frey B, Fellner M, Herrmann M, Fabry B. Integrin alpha5beta1 facilitates cancer cell invasion through enhanced contractile forces. J Cell Sci 2011; Pt 3: 369–383. [PubMed]
  • Mierke CT. The role of focal adhesion kinase in the regulation of cellular mechanical properties. Phys Biol 2013; 6: 065005. [PubMed]
  • Fletcher DA, Mullins RD. Cell mechanics and the cytoskeleton. Nature 2010; 7280: 485–492. [PMC free article] [PubMed]
  • Discher DE, Janmey P, Wang YL. Tissue cells feel and respond to the stiffness of their substrate. Science 2005; 5751: 1139–1143. [PubMed]
  • Engler AJ, Humbert PO, Wehrle-Haller B, Weaver VM. Multiscale modeling of form and function. Science 2009; 5924: 208–212. [PMC free article] [PubMed]
  • Mehlen P, Puisieux A. Metastasis: a question of life or death. Nat Rev Cancer 2006; 6: 449–458. [PubMed]
  • Kim-Fuchs C, Le CP, Pimentel MA, Shackleford D, Ferrari D, Angst E et al. Chronic stress accelerates pancreatic cancer growth and invasion: a critical role for beta-adrenergic signaling in the pancreatic microenvironment. Brain Behav Immun 2014; 40: 40–47. [PMC free article] [PubMed]
  • Lamkin DM, Sloan EK, Patel AJ, Chiang BS, Pimentel MA, Ma JC et al. Chronic stress enhances progression of acute lymphoblastic leukemia via beta-adrenergic signaling. Brain Behav Immun 2012; 4: 635–641. [PMC free article] [PubMed]
  • Magnon C, Hall SJ, Lin J, Xue X, Gerber L, Freedland SJ et al. Autonomic nerve development contributes to prostate cancer progression. Science 2013; 6142: 1236361. [PubMed]
  • Shakhar G, Ben-Eliyahu S. In vivo beta-adrenergic stimulation suppresses natural killer activity and compromises resistance to tumor metastasis in rats. J Immunol 1998; 7: 3251–3258. [PubMed]
  • Le CP, Karnezis T, Achen MG, Stacker SA, Sloan EK. Lymphovascular and neural regulation of metastasis: shared tumour signalling pathways and novel therapeutic approaches. Best Pract Res Clin Anaesthesiol 2013; 4: 409–425. [PMC free article] [PubMed]
  • Sood AK, Armaiz-Pena GN, Halder J, Nick AM, Stone RL, Hu W et al. Adrenergic modulation of focal adhesion kinase protects human ovarian cancer cells from anoikis. J Clin Invest 2010; 5: 1515–1523. [PMC free article] [PubMed]
  • Muravyov AV, Tikhomirova IA, Maimistova AA, Bulaeva SV. Extra- and intracellular signaling pathways under red blood cell aggregation and deformability changes. Clin Hemorheol Microcirc 2009; 3: 223–232. [PubMed]
  • Shore SA, Laporte J, Hall IP, Hardy E, Panettieri RA Jr.. Effect of IL-1 beta on responses of cultured human airway smooth muscle cells to bronchodilator agonists. Am J Respir Cell Mol Biol 1997; 6: 702–712. [PubMed]
  • Sumita Yoshikawa W, Nakamura K, Miura D, Shimizu J, Hashimoto K, Kataoka N et al. Increased passive stiffness of cardiomyocytes in the transverse direction and residual actin and myosin cross-bridge formation in hypertrophied rat hearts induced by chronic beta-adrenergic stimulation. Circ J 2013; 3: 741–748. [PubMed]
  • Qi D, Kaur Gill N, Santiskulvong C, Sifuentes J, Dorigo O, Rao J et al. Screening cell mechanotype by parallel microfiltration. Sci Rep 2015; 5: 17595. [PMC free article] [PubMed]
  • Guck J, Schinkinger S, Lincoln B, Wottawah F, Ebert S, Romeyke M et al. Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence. Biophys J 2005; 5: 3689–3698. [PubMed]
  • Byun S, Son S, Amodei D, Cermak N, Shaw J, Kang JH et al. Characterizing deformability and surface friction of cancer cells. Proc Natl Acad Sci USA 2013; 19: 7580–7585. [PubMed]
  • Paszek MJ, Zahir N, Johnson KR, Lakins JN, Rozenberg GI, Gefen A et al. Tensional homeostasis and the malignant phenotype. Cancer Cell 2005; 3: 241–254. [PubMed]
  • Guck J, Ananthakrishnan R, Mahmood H, Moon TJ, Cunningham CC, Kas J. The optical stretcher: a novel laser tool to micromanipulate cells. Biophys J 2001; 2: 767–784. [PubMed]
  • Gossett DR, Tse HT, Lee SA, Ying Y, Lindgren AG, Yang OO et al. Hydrodynamic stretching of single cells for large population mechanical phenotyping. Proc Natl Acad Sci USA 2012; 20: 7630–7635. [PubMed]
  • Lekka M, Laidler P, Gil D, Lekki J, Stachura Z, Hrynkiewicz AZ. Elasticity of normal and cancerous human bladder cells studied by scanning force microscopy. Eur Biophys J 1999; 4: 312–316. [PubMed]
  • Park S, Koch D, Cardenas R, Kas J, Shih CK. Cell motility and local viscoelasticity of fibroblasts. Biophys J 2005; 6: 4330–4342. [PubMed]
  • Pachenari M, Seyedpour SM, Janmaleki M, Babazadeh Shayan S, Taranejoo S, SHosseinkhani H. Mechanical properties of cancer cytoskeleton depend on actin filaments to microtubules content: investigating different grades of colon cancer cell lines. J Biomech 2014; 2: 373–379. [PubMed]
  • Ketene AN, Schmelz EM, Roberts PC, Agah M. The effects of cancer progression on the viscoelasticity of ovarian cell cytoskeleton structures. Nanomedicine 2012; 1: 93–102. [PubMed]
  • Ochalek T, Nordt FJ, Tullberg K, Burger MM. Correlation between cell deformability and metastatic potential in B16-F1 melanoma cell variants. Cancer Res 1988; 18: 5124–5128. [PubMed]
  • Kim KS, Cho CH, Park EK, Jung MH, Yoon KS, Park HK. AFM-detected apoptotic changes in morphology and biophysical property caused by paclitaxel in Ishikawa and HeLa cells. PLoS ONE 2012; 1: e30066. [PMC free article] [PubMed]
  • Lam WA, Rosenbluth MJ, Fletcher DA. Chemotherapy exposure increases leukemia cell stiffness. Blood 2007; 8: 3505–3508. [PubMed]
  • Cross SE, Jin YS, Lu QY, Rao J, Gimzewski JK. Green tea extract selectively targets nanomechanics of live metastatic cancer cells. Nanotechnology 2011; 21: 215101. [PMC free article] [PubMed]
  • McKnight AL, Kugel JL, Rossman PJ, Manduca A, Hartmann LC, Ehman RL. MR elastography of breast cancer: preliminary results. AJR Am J Roentgenol 2002; 6: 1411–1417. [PubMed]
  • Cross SE, Jin YS, Rao J, Gimzewski JK. Nanomechanical analysis of cells from cancer patients. Nat Nanotechnol 2007; 12: 780–783. [PubMed]
  • Kitamura T, Qian BZ, Pollard JW. Immune cell promotion of metastasis. Nat Rev Immunol 2015; 2: 73–86. [PMC free article] [PubMed]
  • Fridman WH, Pages F, Sautes-Fridman C, Galon J. The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer 2012; 4: 298–306. [PubMed]
  • Acerbi I, Cassereau L, Dean I, Shi Q, Au A, Park C et al. Human breast cancer invasion and aggression correlates with ECM stiffening and immune cell infiltration. Integr Biol (Camb) 2015; 10: 1120–1134. [PMC free article] [PubMed]
  • Wyckoff J, Wang W, Lin EY, Wang Y, Pixley F, Stanley ER et al. A paracrine loop between tumor cells and macrophages is required for tumor cell migration in mammary tumors. Cancer Res 2004; 19: 7022–7029. [PubMed]
  • Goswami S, Sahai E, Wyckoff JB, Cammer M, Cox D, Pixley FJ et al. Macrophages promote the invasion of breast carcinoma cells via a colony-stimulating factor-1/epidermal growth factor paracrine loop. Cancer Res 2005; 12: 5278–5283. [PubMed]
  • Cole SW, Sood AK. Molecular pathways: beta-adrenergic signaling in cancer. Clin Cancer Res 2012; 5: 1201–1206. [PMC free article] [PubMed]
  • Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature 2008; 7203: 436–444. [PubMed]
  • Olofsson PS, Rosas-Ballina M, Levine YA, Tracey KJ. Rethinking inflammation: neural circuits in the regulation of immunity. Immunol Rev 2012; 1: 188–204. [PMC free article] [PubMed]
  • Maisel AS, Harris T, Rearden CA, Michel MC. Beta-adrenergic receptors in lymphocyte subsets after exercise. Alterations in normal individuals and patients with congestive heart failure. Circulation 1990; 6: 2003–2010. [PubMed]
  • Kohno A, Cinader B, Seeman P. Age-related changes in beta-adrenoceptors of lymphocytes. Immunol Lett 1986; 1-2: 79–82. [PubMed]
  • Cook-Mills JM, Mokyr MB, Cohen RL, Perlman RL, Chambers DA. Neurotransmitter suppression of the in vitro generation of a cytotoxic T lymphocyte response against the syngeneic MOPC-315 plasmacytoma. Cancer Immunol Immunother 1995; 2: 79–87. [PubMed]
  • Kalinichenko VV, Mokyr MB, Graf LH Jr., Cohen RL, Chambers DA. Norepinephrine-mediated inhibition of antitumor cytotoxic T lymphocyte generation involves a beta-adrenergic receptor mechanism and decreased TNF-alpha gene expression. J Immunol 1999; 5: 2492–2499. [PubMed]
  • Nakai A, Hayano Y, Furuta F, Noda M, Suzuki K. Control of lymphocyte egress from lymph nodes through beta2-adrenergic receptors. J Exp Med 2014; 13: 2583–2598. [PMC free article] [PubMed]
  • Pongratz G, Straub RH. The sympathetic nervous response in inflammation. Arthritis Res Ther 2014; 6: 504. [PMC free article] [PubMed]
  • Corriden R, Self T, Akong-Moore K, Nizet V, Kellam B, Briddon SJ et al. Adenosine-A3 receptors in neutrophil microdomains promote the formation of bacteria-tethering cytonemes. EMBO Rep 2013; 8: 726–732. [PMC free article] [PubMed]
  • Affolter M, Weijer CJ. Signaling to cytoskeletal dynamics during chemotaxis. Dev Cell 2005; 1: 19–34. [PubMed]
  • Elson EL, Pasternak C, Liu ZY, Young JI, Schwab B 3rd, Worthen GS et al. Activation of mechanical responses in leukocytes. Biorheology 1990; 6: 849–858. [PubMed]
  • Morrison VL, James MJ, Grzes K, Cook P, Glass DG, Savinko T et al. Loss of beta2-integrin-mediated cytoskeletal linkage reprogrammes dendritic cells to a mature migratory phenotype. Nat Commun 2014; 5: 5359. [PMC free article] [PubMed]
  • Yang H, Tang R, Li J, Li J, Liu Y, Ye L et al. Changes of cytoskeleton affect T cell biological behaviors. Front Biosci (Landmark Ed) 2015; 20: 829–837. [PubMed]
  • Mazur MT, Williamson JR. Macrophage deformability and phagocytosis. J Cell Biol 1977; 1: 185–199. [PMC free article] [PubMed]
  • Ekpenyong AE, Whyte G, Chalut K, Pagliara S, Lautenschlager F, Fiddler C et al. Viscoelastic properties of differentiating blood cells are fate- and function-dependent. PLoS ONE 2012; 9: e45237. [PMC free article] [PubMed]
  • Nelson CM, Bissell MJ. Of extracellular matrix, scaffolds, and signaling: tissue architecture regulates development, homeostasis, and cancer. Annu Rev Cell Dev Biol 2006; 22: 287–309. [PMC free article] [PubMed]
  • Bonnans C, Chou J, Werb Z. Remodelling the extracellular matrix in development and disease. Nat Rev Mol Cell Biol 2014; 12: 786–801. [PMC free article] [PubMed]
  • Lu P, Weaver VM, Werb Z. The extracellular matrix: a dynamic niche in cancer progression. J Cell Biol 2012; 4: 395–406. [PMC free article] [PubMed]
  • Huang S, Ingber DE. Cell tension, matrix mechanics, and cancer development. Cancer Cell 2005; 3: 175–176. [PubMed]
  • Seo BR, Bhardwaj P, Choi S, Gonzalez J, Andresen Eguiluz RC, Wang K et al. Obesity-dependent changes in interstitial ECM mechanics promote breast tumorigenesis. Sci Transl Med 2015; 301: 301ra130. [PMC free article] [PubMed]
  • Minchinton AI, Tannock IF. Drug penetration in solid tumours. Nat Rev Cancer 2006; 8: 583–592. [PubMed]
  • Petersen OW, Ronnov-Jessen L, Howlett AR, Bissell MJ. Interaction with basement membrane serves to rapidly distinguish growth and differentiation pattern of normal and malignant human breast epithelial cells. Proc Natl Acad Sci USA 1992; 19: 9064–9068. [PubMed]
  • Swift J, Ivanovska IL, Buxboim A, Harada T, Dingal PC, Pinter J et al. Nuclear lamin-A scales with tissue stiffness and enhances matrix-directed differentiation. Science 2013; 6149: 1240104. [PMC free article] [PubMed]
  • Erler JT, Bennewith KL, Cox TR, Lang G, Bird D, Koong A et al. Hypoxia-induced lysyl oxidase is a critical mediator of bone marrow cell recruitment to form the premetastatic niche. Cancer Cell 2009; 1: 35–44. [PMC free article] [PubMed]
  • Salmon H, Franciszkiewicz K, Damotte D, Dieu-Nosjean MC, Validire P, Trautmann A et al. Matrix architecture defines the preferential localization and migration of T cells into the stroma of human lung tumors. J Clin Invest 2012; 3: 899–910. [PMC free article] [PubMed]
  • Ray SJ, Franki SN, Pierce RH, Dimitrova S, Koteliansky V, Sprague AG et al. The collagen binding alpha1beta1 integrin VLA-1 regulates CD8 T cell-mediated immune protection against heterologous influenza infection. Immunity 2004; 2: 167–179. [PubMed]
  • Muto J, Morioka Y, Yamasaki K, Kim M, Garcia A, Carlin AF et al. Hyaluronan digestion controls DC migration from the skin. J Clin Invest 2014; 3: 1309–1319. [PMC free article] [PubMed]
  • Kim S, Takahashi H, Lin WW, Descargues P, Grivennikov S, Kim Y et al. Carcinoma-produced factors activate myeloid cells through TLR2 to stimulate metastasis. Nature 2009; 7225: 102–106. [PMC free article] [PubMed]
  • Madden KS, Szpunar MJ, Brown EB. beta-Adrenergic receptors (beta-AR) regulate VEGF and IL-6 production by divergent pathways in high beta-AR-expressing breast cancer cell lines. Breast Cancer Res Treat 2011; 3: 747–758. [PMC free article] [PubMed]
  • Shanley CJ, Gharaee-Kermani M, Sarkar R, Welling TH, Kriegel A, Ford JW et al. Transforming growth factor-beta 1 increases lysyl oxidase enzyme activity and mRNA in rat aortic smooth muscle cells. J Vasc Surg 1997; 3: 446–452. [PubMed]
  • Boluyt MO, Long X, Eschenhagen T, Mende U, Schmitz W, Crow MT et al. Isoproterenol infusion induces alterations in expression of hypertrophy-associated genes in rat heart. Am J Physiol 1995; 2: H638–H647. [PubMed]
  • Botteri E, Munzone E, Rotmensz N, Cipolla C, De Giorgi V, Santillo B et al. Therapeutic effect of beta-blockers in triple-negative breast cancer postmenopausal women. Breast Cancer Res Treat 2013; 3: 567–575. [PubMed]
  • Melhem-Bertrandt A, Chavez-Macgregor M, Lei X, Brown EN, Lee RT, Meric-Bernstam F et al. Beta-blocker use is associated with improved relapse-free survival in patients with triple-negative breast cancer. J Clin Oncol 2011; 19: 2645–2652. [PMC free article] [PubMed]
  • Pon CK, Lane JR, Sloan EK, Halls ML. The beta2-adrenoceptor activates a positive cAMP-calcium feedforward loop to drive breast cancer cell invasion. FASEB J 2016; 30: 1144–1154. [PubMed]
  • Calvani M, Pelon F, Comito G, Taddei ML, Moretti S, Innocenti S et al. Norepinephrine promotes tumor microenvironment reactivity through beta3-adrenoreceptors during melanoma progression. Oncotarget 2015; 7: 4615–4632. [PMC free article] [PubMed]
  • Coussens LM, Fingleton B, Matrisian LM. Matrix metalloproteinase inhibitors and cancer: trials and tribulations. Science 2002; 5564: 2387–2392. [PubMed]
  • Tse HT, Gossett DR, Moon YS, Masaeli M, Sohsman M, Ying Y et al. Quantitative diagnosis of malignant pleural effusions by single-cell mechanophenotyping. Sci Transl Med 2013; 212: 212ra163. [PubMed]
  • Yu D, Pessino V, Kuei S, Valentine MT. Mechanical and functional properties of epothilone-stabilized microtubules. Cytoskeleton (Hoboken) 2013; 2: 74–84. [PubMed]
  • Sharma S, Santiskulvong C, Rao J, Gimzewski JK, Dorigo O. The role of Rho GTPase in cell stiffness and cisplatin resistance in ovarian cancer cells. Integr Biol (Camb) 2014; 6: 611–617. [PubMed]
  • Low WS, Wan Abas WA. Benchtop technologies for circulating tumor cells separation based on biophysical properties. Biomed Res Int 2015; 2015: 239362. [PMC free article] [PubMed]
  • Hanahan D, Weinberg RA. The hallmarks of cancer. Cell 2000; 1: 57–70. [PubMed]
  • Mierke CT. The fundamental role of mechanical properties in the progression of cancer disease and inflammation. Rep Prog Phys 2014; 7: 076602. [PubMed]

Articles from Clinical & Translational Immunology are provided here courtesy of Australasian Society of Immunology