Cancer cells exist in a mechanically and chemically heterogeneous microenvironment which undergoes dynamic changes throughout neoplastic progression. During metastasis, cells from a primary tumor acquire characteristics that enable them to escape from the primary tumor and migrate through the heterogeneous stromal environment to establish secondary tumors. Despite being linked to poor prognosis, there are no direct clinical tests available to diagnose the likelihood of metastasis. Moreover, the physical mechanisms employed by metastatic cancer cells to migrate are poorly understood. Because metastasis of most solid tumors requires cells to exert force to reorganize and navigate through dense stroma, we investigated differences in cellular force generation between metastatic and non-metastatic cells. Using traction force microscopy, we found that in human metastatic breast, prostate and lung cancer cell lines, traction stresses were significantly increased compared to non-metastatic counterparts. This trend was recapitulated in the isogenic MCF10AT series of breast cancer cells. Our data also indicate that increased matrix stiffness and collagen density promote increased traction forces, and that metastatic cells generate higher forces than non-metastatic cells across all matrix properties studied. Additionally, we found that cell spreading for these cell lines has a direct relationship with collagen density, but a biphasic relationship with substrate stiffness, indicating that cell area alone does not dictate the magnitude of traction stress generation. Together, these data suggest that cellular contractile force may play an important role in metastasis, and that the physical properties of the stromal environment may regulate cellular force generation. These findings are critical for understanding the physical mechanisms of metastasis and the role of the extracellular microenvironment in metastatic progression.
Citation: Kraning-Rush CM, Califano JP, Reinhart-King CA (2012) Cellular Traction Stresses Increase with Increasing Metastatic Potential. PLoS ONE 7(2): e32572. https://doi.org/10.1371/journal.pone.0032572
Editor: Elizabeth G. Laird, University of Liverpool, United Kingdom
Received: January 4, 2012; Accepted: January 27, 2012; Published: February 28, 2012
Copyright: © 2012 Kraning-Rush et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Cornell Center on the Microenvironment and Metastasis through Award Number U54CA143876 from the National Cancer Institute to CAR-K and a National Science Foundation Graduate Research Fellowship to CMK-R. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
While significant advances have been made in the treatment of primary tumors through surgery, chemotherapy and radiation treatment, a mechanism for effectively diagnosing the likelihood of metastasis remains elusive . Metastasis is the leading cause of death among cancer patients, resulting in over 90% of cancer-related fatalities . Moreover, there is currently no procedure or test that can definitively determine the metastatic potential of a specific tumor. Clinical oncologists routinely rely on pathology reports and historical statistics to determine patient prognosis and to design a course of palliative therapy .
Because metastasis has become the primary obstacle in cancer treatment, there is a substantial body of work attempting to discover a biological marker (or set of markers) for metastasis, but with marginal success . Previous studies have linked overexpression of VEGF-D , urokinase plasminogen activator , the growth factor receptor CXCR2  and activator protein-1  to increased metastatic breast cancer invasion in vitro and in vivo. Additionally, studies have shown that a combination of genes can affect organ-specific tropism . However, these discoveries have generally not been applicable to multiple cancer types, or even within subtypes of a single cancer. Recently, advances in genetic profiling have led to the identification of a 17-gene expression signature for metastasis in primary adenocarcinomas , as well as a 70-gene expression signature for predicting the clinical prognosis of breast cancer . While patients whose tumors contain these expression patterns will benefit from this kind of genetic analysis, it may not be applicable to a broad spectrum of patients with heterogeneous tumor populations. Additionally, while these signatures may show significant statistical correlation with poor prognosis, they are not descriptive of the physical behaviors of the tumor cells that lead to these clinical results.
Alterations in gene expression patterns result in phenotypic changes at the cellular level during cancer progression. As such, the biophysical characteristics of tumor cells may be a more appropriate and accessible clinical indicator than individual genetic alterations. During metastatic invasion, cancer cells encounter a complex and constantly evolving microenvironment  consisting of upregulated extracellular matrix proteins , , , different degrees of extracellular matrix (ECM) crosslinking , mechanical heterogeneity , , varying oxygen levels , as well as exposure to shear stress and interstitial pressure . To successfully navigate this dynamic microenvironment, tumor cells must generate force to reorganize the basement membrane, invade into surrounding stroma , , migrate along ECM fibers ,  and transmigrate through the endothelial cell barrier  to enter the circulatory or lympathic system. In addition to enzymatically degrading the ECM with matrix metalloproteinases, metastatic cells can use force to mechanically rearrange their ECM to clear a path for migration . There is evidence from in vivo imaging that cells use re-oriented fibers as “train-tracks” to guide their migration away from the primary tumor . Traction forces have previously been shown to mediate normal cell migration , adhesion , , mechanotransduction , and ECM remodeling , , . Notably, these processes are also involved in cancer progression. Paszek et al. have shown a marked difference in the magnitude and organization of traction stresses between cancerous and untransformed mammary epithelial cells, suggesting inherent differences in cell force generation in the cancerous phenotype . However, the effects of metastatic potential on force generation have not yet been thoroughly investigated.
Matrix stiffness has been shown to have a distinct effect on force-mediated cellular behaviors including migration , , , , adhesion , , , and ECM remodeling , . Because metastasizing cancer cells are exposed to both the increased stiffness of the stroma surrounding most solid tumors, as well as more compliant adipose tissue, it is important to understand the effects of a dynamic mechanical environment on cancer cell force generation. Similarly, ligand density has also been shown to have a significant effect on the force generation of non-cancerous cell types, such as endothelial cells and fibroblasts , , . During cancer progression, the chemical nature of the extracellular matrix experiences significant changes, affecting the number and nature of binding sites available for tumor cell adhesion and migration. Collagen metabolism has been shown to be dysregulated, with elevated expression, increased deposition, and an increase in collagen crosslinking that contributes to the overall stiffening of the surrounding microenvironment . These factors lead to an increase in mammographic density, which has been specifically correlated to an increased risk for the development of breast cancer . An increase in collagen expression has also been clinically linked to metastatic tumors by genetic analysis of tumor biopsies . Therefore, understanding the independent and interdependent relationships between substrate mechanics, collagen density, and force generation is critical for understanding the mechanism(s) driving metastatic progression.
In this study, we investigate traction force generation as a biophysical marker of metastatic potential. We quantify contractile forces of highly metastatic breast, prostate, and lung cancer cell lines compared to non-tumorigenic epithelial cell lines seeded on substrates of varying stiffness and collagen density using traction force microscopy. Here, we show that highly metastatic cancer cells exert significantly increased forces across all matrix properties studied. Moreover, our data show that increased matrix stiffness and collagen density both promote increased traction forces. These findings provide the first evidence to our knowledge that differential force profiles of metastatic cells may aid in determining metastatic potential.
MCF10A mammary epithelial cells (American Type Culture Collection (ATCC), Rockville, MD) were maintained in Dulbecco's Modified Eagle's Media supplemented with 5% horse serum, 20 ng/mL EGF (Invitrogen, Carlsbad, CA), 10 µg/mL insulin, 0.5 µg/mL hydrocortisone, 100 ng/mL cholera toxin (Sigma-Aldrich, St. Louis, MO), and 1% penicillin-streptomycin (Invitrogen) . MDAMB231 highly metastatic breast adenocarcinoma cells (ATCC) were maintained in Minimum Essential Medium supplemented with 10% fetal bovine serum, and 1% penicillin-streptomycin (Invitrogen). PC3 highly metastatic prostate adenocarcinoma cells (ATCC) were maintained in Kaighn's Modification of Ham's F-12 Medium (ATCC) supplemented with 10% fetal bovine serum and 1% penicillin-streptomycin (Invitrogen). PrEC primary human prostate epithelial cells (Lonza, Walkersville, MD) were maintained in PrEGM prostate epithelial cell growth medium (Lonza) supplemented with SingleQuots (Lonza) according to the manufacturer's recommended protocol. BEAS2B bronchial epithelial cells (ATCC) were maintained in BEBM bronchial epithelial cell basal medium (Lonza) supplemented with SingleQuots (Lonza) according to ATCC recommended protocol, and 1% penicillin-streptomycin (Invitrogen). A549 metastatic lung carcinoma cells (ATCC) were kindly provided by Paraskevi Giannakakou (Weill Cornell Medical College) and were maintained in RPMI 1640 supplemented with 10% fetal bovine serum, 1% penicillin-streptomycin, and 1 µg/mL puromycin (Invitrogen). MCF10AT1 transformed mammary epithelial cells and MCF10CA1a metastatic mammary epithelial cells were obtained from the Barbara Ann Karmanos Cancer Institute (Detroit, MI) and were maintained in 1∶1 Dulbecco's Modified Eagle's Media/F12 supplemented with 5% horse serum, 20 ng/mL EGF (Invitrogen), 10 µg/mL insulin, 0.5 µg/mL hydrocortisone, 100 ng/mL cholera toxin (Sigma-Aldrich), and 1% penicillin-streptomycin (Invitrogen) . All cells were cultured at 37°C and 5% CO2. Live cell imaging was performed in a custom temperature, humidity, and CO2- controlled stage of a Zeiss Axio Observer Z1m inverted phase contrast microscope with a Hamamatsu ORCA-ER camera.
Substrate synthesis and traction force microscopy
Substrates of various Young's moduli (1–10 kPa) were synthesized with varying ratios of 3–7.5% acrylamide (40% w/v solution, Bio-Rad, Hercules, CA) and 0.1–0.35% N,N′-methylene-bis-acrylamide (2% w/v solution, Bio-Rad) as described previously , . Substrate surfaces were functionalized using N-6-((acryloyl)amido)hexanoic acid, synthesized in our lab , covalently bound to 0.0001–0.1 mg/mL type I rat-tail collagen (Becton Dickinson, Franklin Lakes, NJ). The Young's modulus (E) of the polyacrylamide substrates was verified as previously described , , . Traction force microscopy (TFM) was also performed as previously described , , . Briefly, cells were seeded on polyacrylamide substrates (E = 1–10 kPa) embedded with 0.5-µm fluorescent beads and allowed to adhere overnight. Cells were then imaged in phase and bead distributions were imaged in fluorescence before and after removal of the cell with trypsin. Bead displacement within the substrate was tracked with correlation-based optical flow and converted into a strain field. These strain fields were converted into traction stresses using the LIBTRC analysis library developed by Professor Micah Dembo of Boston University, who invented the basic theory that underlies TFM . Images were processed with LIBTRC software to determine the cellular traction vectors, T, the total magnitude of the force, |F|, and the projected cell area. |F| is an integral of the traction field over the entire area of the cell,(1)where is the continuous field of local traction vectors defined at local spatial coordinates (x,y) in the projected cell area . More than 40 cells were analyzed per condition.
Data were compared with analysis of variance (ANOVA) and with post-hoc Tukey's Honestly Significantly Different (HSD) test or Student's t test where appropriate in JMP software (v.8, SAS, Cary, NC). All data were logarithmically transformed prior to analysis to ensure normal distribution. All data are reported as mean ± standard error of the mean (SEM).
Metastatic cancer cells exert stronger traction forces
To investigate the relationship between cellular traction force generation and metastatic potential, we examined the differences in traction force generation in three independent cancer models: breast, prostate, and lung cancer. These cancers comprise the three most fatal cancers in both men and women , with metastatic disease being the ultimate cause of death in over 90% of these patients . During metastatic progression, phenotypic changes in cancer cells result in altered adhesion and migration behavior, allowing cells to escape from the tumor mass into surrounding tissue . Because contractile force is known to mediate these behaviors in normal cells , , we hypothesized that cancer cells require increased force generation to metastasize. For each type of cancer, we chose a cell line (breast, prostate, lung, respectively) that was previously characterized as highly invasive in vitro and metastatic in vivo (MDAMB231, PC3, and A549), as well as a non-tumorigenic, non-metastatic control cell population that is representative of healthy native epithelial tissue (MCF10A, PrEC, and BEAS-2B).
At a moderate stiffness mimicking tumorigenic conditions in breast tissue (E = 5 kPa) , measurements of cellular force using TFM indicate that MDAMB231 highly metastatic breast cancer cells exhibited stronger traction stresses compared to the non-metastatic MCF10A mammary epithelial cells (Fig. 1A). Likewise, both the PC-3 highly metastatic prostate cancer cells (Fig. 1B) and the A549 metastatic lung cancer cells (Fig. 1C) exhibited significantly greater traction stresses than the non-metastatic PrEC primary prostate epithelial cells and the BEAS-2B lung epithelial cells, respectively. These data suggest that increasing force generation in cells of high metastatic potential may be a biophysical characteristic of metastatic cells that could potentially act as a mechanical marker for metastasis.
(A) Representative traction maps (left), corresponding phase images (middle), and overall net traction force (|F|, right) of non-metastatic mammary epithelial (MCF10A) and highly metastatic (MDAMB231) cancer cells. (B) Representative traction maps (left), corresponding phase images (middle), and |F| (right) of non-metastatic primary prostate epithelial cells (PrEC) and highly metastatic prostate cancer cells (PC3). (C) Representative traction maps (left), corresponding phase images (middle), and |F| (right) of non-metastatic bronchial epithelial cells (BEAS2B) and metastatic lung adenocarcinoma cells (A549). All cells are on polyacrylamide substrates with Young's Modulus (E) = 5 kPa and type I collagen concentration of 0.1 mg/mL. Scale bar = 50 µm. Mean+SEM; *** indicates p<0.001.
Substrate stiffness and collagen density mediate magnitude of traction force
Because cancer cells encounter heterogeneous environments exhibiting a range of stiffness during metastatic progression in vivo, such as stiff, matrix-dense regions near the tumor and compliant adipose tissue during stromal invasion , we measured the traction forces exerted on substrates of varying stiffness (E = 1–10 kPa), with collagen density being held constant (0.1 mg/mL). We found that, in addition to exerting greater forces on substrates of tumorigenic stiffness (Fig. 1A), MDAMB231 cells also have a greater overall net traction force (|F|) than MCF10A cells when cultured on substrates of higher stiffness (E = 10 kPa, Fig. 2A). This trend was also recapitulated with the prostate and lung cancer models, in which the metastatic PC3 (Fig. 2B) and A549 (Fig. 2C) prostate and lung cancer cells exerted significantly greater forces than non-metastatic PrEC and BEAS2B cells on stiff substrates. On more compliant substrates (E = 1 kPa), the metastatic cells of each cancer type studied exert slightly higher forces than their non-metastatic counterparts. Additionally, we observed a significant increase in net traction force with increasing substrate stiffness within all 6 cell lines (p<0.01), suggesting that the stiffness of the environment surrounding cancer cells can directly contribute to the amount of traction force exerted at a single cell level. These data indicate that the stiffness of the microenvironment significantly affects the magnitude of forces generated by metastatic and non-metastatic cells, and suggest that, in general, metastatic cells are able to exert greater net traction forces than non-metastatic cells.
Net traction force (|F|) increases with increasing substrate stiffness (E = 1–10 kPa) for (A) MCF10A non-metastatic mammary epithelial cells and MDAMB231 metastatic cancer cells, (B) PrEC non-metastatic primary prostate epithelial cells and PC3 metastatic prostate cancer cells, and (C) BEAS2B non-metastatic bronchial epithelial cells and A549 metastatic lung cancer cells. Ligand density is maintained at 0.1 mg/mL collagen I. 5 kPa data is from Figure 1. Note also that the metastatic cancer cells (black) exert greater forces than non-metastatic cells (white) at all matrix stiffness levels studied. Mean+SEM; * indicates p<0.05; *** indicates p<0.001.
Collagen content of the microenvironment also changes throughout neoplastic progression , with increased collagen expression particularly noted in clinical analyses of high grade tumors . As such, we examined the effect of collagen density on cancer cell traction forces. Using substrates of constant stiffness (E = 5 kPa) and varying collagen density (0.0001–0.1 mg/mL), we found that metastatic MDAMB231 breast cancer cells exert a greater net traction force (|F|) than non-metastatic MCF10A cells across the entire range of collagen densities tested (Fig. 3A). This trend is recapitulated with both the prostate and the lung cells, with metastatic PC3 (Fig. 3B) and A549 (Fig. 3C) prostate and lung cancer cells exerting greater forces than their non-metastatic counterparts, PrEC and BEAS2B cells, on substrates with varying collagen density. Similar to the previously observed trend of increasing force with increasing stiffness, all 6 cell lines also showed a significant increase (p<0.01) in net traction force with increasing collagen density, suggesting that increased collagen content within the tumor microenvironment can also drive force generation of cancer cells. Together these data indicate that metastatic and non-metastatic cells have differential force profiles that are significantly affected by mechanical and chemical matrix properties of the tumor microenvironment.
Net traction force (|F|) increases with collagen density (0.0001–0.1 mg/mL collagen I) for (A) MCF10A non-metastatic mammary epithelial cells and MDAMB231 metastatic cancer cells, (B) PrEC non-metastatic primary prostate epithelial cells and PC3 metastatic prostate cancer cells, and (C) BEAS2B non-metastatic bronchial epithelial cells and A549 metastatic lung cancer cells. Stiffness is maintained at E = 5 kPa. 0.1 mg/mL collagen I data is from Figure 1. Note also that the metastatic cancer cells (black) exert greater forces than non-metastatic cells (white) at all collagen densities studied. Mean+SEM; * indicates p<0.05; ** indicates p<0.01; *** indicates p<0.001.
Differences in force generation are not correlated to differences in cell spreading
Because cellular force generation has been linked to cell spread area in previous studies , , we assessed whether increased cellular traction force in metastatic cells on both stiff matrices and those displaying high densities of collagen was simply caused by an increase in cell area (i.e. that larger cells exert higher forces). The area of isolated cells was measured during the TFM experiments previously described. We observed no significant or consistent trend when comparing the spreading area of metastatic breast, prostate, and lung cancer cells to their non-metastatic epithelial cell counterparts across substrates of constant collagen density and varying stiffness (Fig. 4A) or across substrates of constant stiffness and varying collagen density (Fig. 4B) (p>0.05). These data indicate that the observed increases in traction force in metastatic versus non-metastatic cells are not linked to cell area. Interestingly, we noted that five of the six cell lines (excluding the non-metastatic PrEC prostate epithelial cells) exhibited a biphasic relationship with substrate stiffness, with the maximum cell spreading area occurring on polyacrylamide substrates of an intermediate stiffness (E = 5 kPa) (Fig. 4A). In contrast, we observed that these same five cell lines exhibited a direct relationship between spreading area and collagen density across the range of 0.0001–0.1 mg/mL, with increased area correlating with increased collagen density (Fig. 4B).
Projected cell area shows a biphasic relationship with substrate stiffness (A) and a direct relationship with collagen density (B) in the majority of the metastatic (black) and non-metastatic cells (white) studied. No consistent trend was observed when comparing the projected cell area of complementary metastatic and non-metastatic cells.
To further investigate the role of cell area in the generation of traction forces, we analyzed the net traction force (|F|) of each cell normalized by its projected area (|F|/A) as a measurement of average traction stress. When the traction forces of cells plated on substrates of variable stiffness were normalized by their respective areas, average traction stress increased with increasing stiffness (p<0.0001, Fig. 5A). Therefore, the increased force on stiffer substrates is not due to increased cell spreading. However, the average traction stress of cells plated on substrates of variable collagen density revealed an overall equalization of forces across the collagen concentrations tested (Fig. 5B). These data suggest that increased collagen density may promote force generation by causing an increase in cell spreading.
|F| of each cell is normalized by its projected area (|F|/A) as a measurement of average traction stress. Average traction stresses increase with increasing substrate stiffness (A) but become relatively uniform with increasing collagen density (B) in both metastatic (black) and non-metastatic (white) cells studied.
Metastatic cells exert increased force in an isogenic model
Because the cell lines used in these experiments are of genetically distinct lineages, we further investigated our hypothesis that metastatic cells generated increased traction forces compared to non-metastatic cells using an isogenic cell model: the 10AT series of cell lines. The 10AT series consists of several well-characterized cell lines which represent the full spectrum of neoplastic progression . We focused on the MCF10AT1 and MCF10CA1a lines , , , compared to their parental spontaneously immortalized MCF10A cells used previously in this work. MCF10AT1 cells were derived from MCF10A cells transfected with the constitutively active Ha-ras oncogene. These cells are considered ‘premalignant’ and will first form simple ducts in nude mice xenografts, followed by benign lesions which occasionally progress to carcinomas . MCF10CA1a cells were selectively derived from the MCF10AT1 carcinoma populations. These cells form undifferentiated carcinomas and rapidly growing metastases within the lungs , , . Together, the MCF10A, MCF10AT1, and MCF10CA1a are isogenic human cell lines representative of different stages of metastatic potential: non-tumorigenic, premalignant, and highly metastatic (Fig. 6A). The highly metastatic MCF10CA1a derivative exerted significantly greater traction forces compared to the benign MCF10AT1 and non-tumorigenic parental MCF10A cells (Fig. 6B) on substrates mimicking the stiffness of tumorigenic breast tissue (E = 5 kPa) . When the net traction force was normalized by projected area, there was a significant increasing trend in average traction stress (p<0.001, Fig. 6D). Overall, these data from an isogenic cell model correlate well with the data from breast, prostate, and lung cells derived from different genetic backgrounds (Fig. 1).
(A) Phase images of parental untransformed cells (MCF10A), transformed premalignant (MCF10AT1) and highly metastatic (MCF10CA1a) derivatives. (B) Net traction forces increase with increasing metastatic potential, with the highest forces exerted by the metastatic MCF10CA1a cells. (C) Average traction stress (|F|/A) increases with increasing metastatic potential. Mean ± SEM; ** indicates p<0.01; *** indicates p<0.001.
To date, there is no universal molecular marker of metastasis. Because of the known role of cellular force in cell migration, we explored traction force generation as a potential biophysical marker characteristic of cells with metastatic ability. The results presented here show that highly invasive breast, prostate, and lung cancer cells exert significantly greater traction forces than their non-invasive epithelial cell counterparts on 2D substrates of physiologically relevant stiffness and varying collagen density. These findings indicate that inherent force differences exist in cells of differing metastatic potential. Additionally, increased matrix stiffness and ligand density promote increased contractile force generation in contrasting ways: collagen density appears to lead to increased cellular force generation by directly mediating cell spreading, while matrix stiffness appears to increase cell forces independently of cell spreading.
Previous studies by others have also explored various biophysical traits as potential markers of metastasis. Atomic force microscopy (AFM) and optical stretching measurements have shown that metastatic cancer cells are more compliant than benign cells, both in established cell lines ,  and in primary tumor samples . These data allow speculation that a difference in the plasticity of cancer cells may contribute to their enhanced migration away from the primary tumor by allowing them to more easily maneuver through the ECM. These studies are the first indications that there are mechanical properties inherent in some cancer cells that may promote malignant and metastatic behavior. In our study, we explore another aspect of cell mechanics, cellular force generation, to show that metastatic cancer cells from a variety of cancer types exert greater traction stresses than their non-metastatic counterparts. We speculate that these higher forces could potentially drive cancer progression by promoting cellular behaviors such as cell migration, adhesion, and ECM remodeling during metastatic invasion.
Cellular mechanical properties can also be affected by the microenvironment. Using particle-tracking microrheology, Baker et al. showed that cells embedded in 3D matrices are stiffer than those plated on 2D substrates . They also show that 3D matrix stiffness and collagen density significantly affect the intracellular tension in tumor cells, although this relationship is dependent on both the type of cell and the cell's transformation state , . Increased matrix stiffness in turn has been shown to enhance cell motility in 2D and 3D , , while decreasing the stiffness of the tumor microenvironment has been shown to inhibit malignant progression , . Increased ECM density has been identified as a risk factor for breast cancer , and has also been shown to promote invasion by enhancing integrin clustering, upregulating Rho and PI3 kinase activity, and increasing focal adhesion formation , . Recently, Levental et. al. has shown that inhibiting collagen crosslinking increases tumor latency, reduces cell proliferation, and reduces tumor volume and incidence in a mouse model . In this work, we have shown that matrix stiffness and collagen density both mediate cellular force generation, with cells exerting greater force on substrates with either increased stiffness or increased collagen density.
Since both matrix stiffness and ligand density have been associated with increased cell spreading , , , , , we examined their effects on cell spreading area here. We find that in the majority of the cell lines employed in this study, there existed a biphasic relationship between cell spreading and substrate stiffness (Fig. 4A), but a direct relationship between cell spreading and collagen density (Fig. 4B). While the relationship between area and collagen density is consistent with previous studies in numerous cell types , , , the relationship between substrate stiffness and cell spreading contrasts with similar studies performed on several different non-cancerous cell types , , . However, there has been some evidence reported previously that the effect of matrix stiffness on cell spreading is highly variable and cell type- specific, particularly in cancer cells .
Interestingly, we observe that cells on substrates of increasing stiffness exhibit increased average traction stresses, while cells on substrates of increasing collagen density exhibit no change in average traction stresses (Fig. 5). We speculate that matrix stiffness is able to promote force generation through a mechanosensing-mechanism which causes an upregulation of contractility-related proteins, while collagen density promotes force generation by controlling the number of available integrin binding sites available to the cell, therefore directly mediating the cell spreading area and allowing larger cells to exert greater forces. Importantly, metastatic cancer cells exert increased force compared to non-metastatic cells regardless of cell spreading area. This suggests increased force generation is inherently tied to the metastatic phenotype regardless of the microenvironment. It is also important to note that while this data is acquired in a 2D environment, previous work in our lab has shown that forces in 2D reflect the forces generated within a 3D environment .
While we chose to focus on three of the most common metastatic cancers (breast, prostate, and lung), we cannot claim that contractile force will be a universal predictor of metastatic behavior without thoroughly characterizing every type of cancer. Indeed, recent work has shown that the method of transformation or exposure to different tumorigenic signals can significantly affect cellular mechanical properties in contrasting ways , . Additionally, a recent study using a series of murine breast cancer cell lines of increasing metastatic potential observed the reverse trend to our data, showing that cells of increasing metastatic potential exert weaker contractile forces . While it is an elegant model of metastatic potential, the relevance of mouse-derived cancers to cancers which develop within the human body continues to be disputed . Based on the data shown in this study, particularly on the work done using the isogenic MCF10AT series of cell lines, we believe that pursuing traction force generation as a mechanical indicator of metastasis could potentially reveal mechanistic details that will lead to a better understanding of the initiation and progression of metastatic cancer. Additionally, examining proteins which are known to play key roles in mediating cell force, such as RhoA, ROCK, or myosin light chain phosphatase, may reveal a protein marker for traction stresses which could be more directly employed clinically to diagnose metastasis. Further studies will be needed on a broader range of cancer cells to determine the applicability of this kind of marker to a wide variety of cancers.
In conclusion, we have shown that metastatic cells exert significantly greater traction forces than non-metastatic cells in breast, prostate, and lung cancer models, and that these forces can be driven by the mechanical and chemical properties of the tumor microenvironment. These findings suggest that inherent force differences exist in cells of differing metastatic potential, and that these differences could be developed into a biophysical marker that could be used to determine the likelihood of metastasis. Additionally, our data suggest that identifying a mechanism to therapeutically target cellular force may be a promising avenue for inhibiting metastatic progression.
Conceived and designed the experiments: CMK-R CAR-K. Performed the experiments: CMK-R JPC. Analyzed the data: CMK-R CAR-K. Wrote the paper: CMK-R CAR-K.
- 1. Steeg PS (2006) Tumor metastasis: mechanistic insights and clinical challenges. Nat Med 12: 895–904.PS Steeg2006Tumor metastasis: mechanistic insights and clinical challenges.Nat Med12895904
- 2. Christofori G (2006) New signals from the invasive front. Nature 441: 444–450.G. Christofori2006New signals from the invasive front.Nature441444450
- 3. Ravdin PM, Siminoff LA, Davis GJ, Mercer MB, Hewlett J, et al. (2001) Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol 19: 980–991.PM RavdinLA SiminoffGJ DavisMB MercerJ. Hewlett2001Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.J Clin Oncol19980991
- 4. Sidransky D (2002) Emerging molecular markers of cancer. Nat Rev Cancer 2: 210–219.D. Sidransky2002Emerging molecular markers of cancer.Nat Rev Cancer2210219
- 5. Stacker SA, Caesar C, Baldwin ME, Thornton GE, Williams RA, et al. (2001) VEGF-D promotes the metastatic spread of tumor cells via the lymphatics. Nat Med 7: 186–191.SA StackerC. CaesarME BaldwinGE ThorntonRA Williams2001VEGF-D promotes the metastatic spread of tumor cells via the lymphatics.Nat Med7186191
- 6. Duffy MJ (1996) Proteases as prognostic markers in cancer. Clin Cancer Res 2: 613–618.MJ Duffy1996Proteases as prognostic markers in cancer.Clin Cancer Res2613618
- 7. Mierke CT, Zitterbart DP, Kollmannsberger P, Raupach C, Schlotzer-Schrehardt U, et al. (2008) Breakdown of the endothelial barrier function in tumor cell transmigration. Biophys J 94: 2832–2846.CT MierkeDP ZitterbartP. KollmannsbergerC. RaupachU. Schlotzer-Schrehardt2008Breakdown of the endothelial barrier function in tumor cell transmigration.Biophys J9428322846
- 8. Ozanne BW, McGarry L, Spence HJ, Johnston I, Winnie J, et al. (2000) Transcriptional regulation of cell invasion: AP-1 regulation of a multigenic invasion programme. Eur J Cancer 36: 1640–1648.BW OzanneL. McGarryHJ SpenceI. JohnstonJ. Winnie2000Transcriptional regulation of cell invasion: AP-1 regulation of a multigenic invasion programme.Eur J Cancer3616401648
- 9. Kang Y, Siegel PM, Shu W, Drobnjak M, Kakonen SM, et al. (2003) A multigenic program mediating breast cancer metastasis to bone. Cancer Cell 3: 537–549.Y. KangPM SiegelW. ShuM. DrobnjakSM Kakonen2003A multigenic program mediating breast cancer metastasis to bone.Cancer Cell3537549
- 10. Ramaswamy S, Ross KN, Lander ES, Golub TR (2003) A molecular signature of metastasis in primary solid tumors. Nat Genet 33: 49–54.S. RamaswamyKN RossES LanderTR Golub2003A molecular signature of metastasis in primary solid tumors.Nat Genet334954
- 11. Sotiriou C, Neo SY, McShane LM, Korn EL, Long PM, et al. (2003) Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci U S A 100: 10393–10398.C. SotiriouSY NeoLM McShaneEL KornPM Long2003Breast cancer classification and prognosis based on gene expression profiles from a population-based study.Proc Natl Acad Sci U S A1001039310398
- 12. Kumar S, Weaver VM (2009) Mechanics, malignancy, and metastasis: the force journey of a tumor cell. Cancer Metastasis Rev 28: 113–127.S. KumarVM Weaver2009Mechanics, malignancy, and metastasis: the force journey of a tumor cell.Cancer Metastasis Rev28113127
- 13. Levental KR, Yu H, Kass L, Lakins JN, Egeblad M, et al. (2009) Matrix crosslinking forces tumor progression by enhancing integrin signaling. Cell 139: 891–906.KR LeventalH. YuL. KassJN LakinsM. Egeblad2009Matrix crosslinking forces tumor progression by enhancing integrin signaling.Cell139891906
- 14. Ioachim E, Charchanti A, Briasoulis E, Karavasilis V, Tsanou H, et al. (2002) Immunohistochemical expression of extracellular matrix components tenascin, fibronectin, collagen type IV and laminin in breast cancer: their prognostic value and role in tumour invasion and progression. Eur J Cancer 38: 2362–2370.E. IoachimA. CharchantiE. BriasoulisV. KaravasilisH. Tsanou2002Immunohistochemical expression of extracellular matrix components tenascin, fibronectin, collagen type IV and laminin in breast cancer: their prognostic value and role in tumour invasion and progression.Eur J Cancer3823622370
- 15. Paszek MJ, Zahir N, Johnson KR, Lakins JN, Rozenberg GI, et al. (2005) Tensional homeostasis and the malignant phenotype. Cancer Cell 8: 241–254.MJ PaszekN. ZahirKR JohnsonJN LakinsGI Rozenberg2005Tensional homeostasis and the malignant phenotype.Cancer Cell8241254
- 16. Lopez JI, Kang I, You WK, McDonald DM, Weaver VM (2011) In situ force mapping of mammary gland transformation. Integr Biol (Camb) 3: 910–921.JI LopezI. KangWK YouDM McDonaldVM Weaver2011In situ force mapping of mammary gland transformation.Integr Biol (Camb)3910921
- 17. Harris AL (2002) Hypoxia–a key regulatory factor in tumour growth. Nat Rev Cancer 2: 38–47.AL Harris2002Hypoxia–a key regulatory factor in tumour growth.Nat Rev Cancer23847
- 18. Wolf K, Wu YI, Liu Y, Geiger J, Tam E, et al. (2007) Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion. Nat Cell Biol 9: 893–904.K. WolfYI WuY. LiuJ. GeigerE. Tam2007Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion.Nat Cell Biol9893904
- 19. Rosel D, Brabek J, Tolde O, Mierke CT, Zitterbart DP, et al. (2008) Up-regulation of Rho/ROCK signaling in sarcoma cells drives invasion and increased generation of protrusive forces. Mol Cancer Res 6: 1410–1420.D. RoselJ. BrabekO. ToldeCT MierkeDP Zitterbart2008Up-regulation of Rho/ROCK signaling in sarcoma cells drives invasion and increased generation of protrusive forces.Mol Cancer Res614101420
- 20. Wyckoff JB, Pinner SE, Gschmeissner S, Condeelis JS, Sahai E (2006) ROCK- and myosin-dependent matrix deformation enables protease-independent tumor-cell invasion in vivo. Curr Biol 16: 1515–1523.JB WyckoffSE PinnerS. GschmeissnerJS CondeelisE. Sahai2006ROCK- and myosin-dependent matrix deformation enables protease-independent tumor-cell invasion in vivo.Curr Biol1615151523
- 21. Provenzano PP, Inman DR, Eliceiri KW, Trier SM, Keely PJ (2008) Contact guidance mediated three-dimensional cell migration is regulated by Rho/ROCK-dependent matrix reorganization. Biophys J 95: 5374–5384.PP ProvenzanoDR InmanKW EliceiriSM TrierPJ Keely2008Contact guidance mediated three-dimensional cell migration is regulated by Rho/ROCK-dependent matrix reorganization.Biophys J9553745384
- 22. Lauffenburger DA, Horwitz AF (1996) Cell migration: a physically integrated molecular process. Cell 84: 359–369.DA LauffenburgerAF Horwitz1996Cell migration: a physically integrated molecular process.Cell84359369
- 23. Pelham RJ Jr, Wang Y (1997) Cell locomotion and focal adhesions are regulated by substrate flexibility. Proc Natl Acad Sci U S A 94: 13661–13665.RJ Pelham JrY. Wang1997Cell locomotion and focal adhesions are regulated by substrate flexibility.Proc Natl Acad Sci U S A941366113665
- 24. Reinhart-King CA (2008) Endothelial cell adhesion and migration. Methods Enzymol 443: 45–64.CA Reinhart-King2008Endothelial cell adhesion and migration.Methods Enzymol4434564
- 25. Discher DE, Janmey P, Wang YL (2005) Tissue cells feel and respond to the stiffness of their substrate. Science 310: 1139–1143.DE DischerP. JanmeyYL Wang2005Tissue cells feel and respond to the stiffness of their substrate.Science31011391143
- 26. Lemmon CA, Chen CS, Romer LH (2009) Cell traction forces direct fibronectin matrix assembly. Biophys J 96: 729–738.CA LemmonCS ChenLH Romer2009Cell traction forces direct fibronectin matrix assembly.Biophys J96729738
- 27. Bloom RJ, George JP, Celedon A, Sun SX, Wirtz D (2008) Mapping local matrix remodeling induced by a migrating tumor cell using three-dimensional multiple-particle tracking. Biophys J 95: 4077–4088.RJ BloomJP GeorgeA. CeledonSX SunD. Wirtz2008Mapping local matrix remodeling induced by a migrating tumor cell using three-dimensional multiple-particle tracking.Biophys J9540774088
- 28. Zaman MH, Trapani LM, Sieminski AL, Mackellar D, Gong H, et al. (2006) Migration of tumor cells in 3D matrices is governed by matrix stiffness along with cell-matrix adhesion and proteolysis. Proc Natl Acad Sci U S A 103: 10889–10894.MH ZamanLM TrapaniAL SieminskiD. MackellarH. Gong2006Migration of tumor cells in 3D matrices is governed by matrix stiffness along with cell-matrix adhesion and proteolysis.Proc Natl Acad Sci U S A1031088910894
- 29. Baker EL, Bonnecaze RT, Zaman MH (2009) Extracellular matrix stiffness and architecture govern intracellular rheology in cancer. Biophys J 97: 1013–1021.EL BakerRT BonnecazeMH Zaman2009Extracellular matrix stiffness and architecture govern intracellular rheology in cancer.Biophys J9710131021
- 30. Ulrich TA, de Juan Pardo EM, Kumar S (2009) The mechanical rigidity of the extracellular matrix regulates the structure, motility, and proliferation of glioma cells. Cancer Res 69: 4167–4174.TA UlrichEM de Juan PardoS. Kumar2009The mechanical rigidity of the extracellular matrix regulates the structure, motility, and proliferation of glioma cells.Cancer Res6941674174
- 31. Gjorevski N, Nelson CM (2010) Endogenous patterns of mechanical stress are required for branching morphogenesis. Integr Biol (Camb) 2: 424–434.N. GjorevskiCM Nelson2010Endogenous patterns of mechanical stress are required for branching morphogenesis.Integr Biol (Camb)2424434
- 32. Huynh J, Nishimura N, Rana K, Peloquin JM, Califano JP, et al. (2011) Age-Related Intimal Stiffening Enhances Endothelial Permeability and Leukocyte Transmigration. Sci Transl Med 3: 112ra122.J. HuynhN. NishimuraK. RanaJM PeloquinJP Califano2011Age-Related Intimal Stiffening Enhances Endothelial Permeability and Leukocyte Transmigration.Sci Transl Med3112ra122
- 33. Kim JH, Asthagiri AR (2011) Matrix stiffening sensitizes epithelial cells to EGF and enables the loss of contact inhibition of proliferation. J Cell Sci 124: 1280–1287.JH KimAR Asthagiri2011Matrix stiffening sensitizes epithelial cells to EGF and enables the loss of contact inhibition of proliferation.J Cell Sci12412801287
- 34. Califano JP, Reinhart-King CA (2010) Substrate Stiffness and Cell Area Predict Cellular Traction Stresses in Single Cells and Cells in Contact. Cellular and Molecular Bioengineering 3: 68–75.JP CalifanoCA Reinhart-King2010Substrate Stiffness and Cell Area Predict Cellular Traction Stresses in Single Cells and Cells in Contact.Cellular and Molecular Bioengineering36875
- 35. Reinhart-King CA, Dembo M, Hammer DA (2005) The dynamics and mechanics of endothelial cell spreading. Biophys J 89: 676–689.CA Reinhart-KingM. DemboDA Hammer2005The dynamics and mechanics of endothelial cell spreading.Biophys J89676689
- 36. Gaudet C, Marganski WA, Kim S, Brown CT, Gunderia V, et al. (2003) Influence of type I collagen surface density on fibroblast spreading, motility, and contractility. Biophys J 85: 3329–3335.C. GaudetWA MarganskiS. KimCT BrownV. Gunderia2003Influence of type I collagen surface density on fibroblast spreading, motility, and contractility.Biophys J8533293335
- 37. Martin LJ, Boyd NF (2008) Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence. Breast Cancer Res 10: 201.LJ MartinNF Boyd2008Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence.Breast Cancer Res10201
- 38. Debnath J, Muthuswamy SK, Brugge JS (2003) Morphogenesis and oncogenesis of MCF-10A mammary epithelial acini grown in three-dimensional basement membrane cultures. Methods 30: 256–268.J. DebnathSK MuthuswamyJS Brugge2003Morphogenesis and oncogenesis of MCF-10A mammary epithelial acini grown in three-dimensional basement membrane cultures.Methods30256268
- 39. Santner SJ, Dawson PJ, Tait L, Soule HD, Eliason J, et al. (2001) Malignant MCF10CA1 cell lines derived from premalignant human breast epithelial MCF10AT cells. Breast Cancer Res Treat 65: 101–110.SJ SantnerPJ DawsonL. TaitHD SouleJ. Eliason2001Malignant MCF10CA1 cell lines derived from premalignant human breast epithelial MCF10AT cells.Breast Cancer Res Treat65101110
- 40. Kraning-Rush CM, Carey SP, Califano JP, Reinhart-King CA (2012) Quantifying Traction Stresses in Adherent Cells. In: Arkin A, Asthagiri AR, editors. Computational Methods in Cell Biology. New York: Elsevier. CM Kraning-RushSP CareyJP CalifanoCA Reinhart-King2012Quantifying Traction Stresses in Adherent Cells.A. ArkinAR AsthagiriComputational Methods in Cell BiologyNew YorkElsevier(In Press). (In Press).
- 41. Dembo M, Wang YL (1999) Stresses at the cell-to-substrate interface during locomotion of fibroblasts. Biophys J 76: 2307–2316.M. DemboYL Wang1999Stresses at the cell-to-substrate interface during locomotion of fibroblasts.Biophys J7623072316
- 42. Kraning-Rush CM, Carey SP, Califano JP, Smith BN, Reinhart-King CA (2011) The role of the cytoskeleton in cellular force generation in 2D and 3D environments. Phys Biol 8: 015009.CM Kraning-RushSP CareyJP CalifanoBN SmithCA Reinhart-King2011The role of the cytoskeleton in cellular force generation in 2D and 3D environments.Phys Biol8015009
- 43. Pickle LW, Hao Y, Jemal A, Zou Z, Tiwari RC, et al. (2007) A new method of estimating United States and state-level cancer incidence counts for the current calendar year. CA Cancer J Clin 57: 30–42.LW PickleY. HaoA. JemalZ. ZouRC Tiwari2007A new method of estimating United States and state-level cancer incidence counts for the current calendar year.CA Cancer J Clin573042
- 44. Mehta K, Fok J, Miller FR, Koul D, Sahin AA (2004) Prognostic significance of tissue transglutaminase in drug resistant and metastatic breast cancer. Clin Cancer Res 10: 8068–8076.K. MehtaJ. FokFR MillerD. KoulAA Sahin2004Prognostic significance of tissue transglutaminase in drug resistant and metastatic breast cancer.Clin Cancer Res1080688076
- 45. Kim SH, Miller FR, Tait L, Zheng J, Novak RF (2009) Proteomic and phosphoproteomic alterations in benign, premalignant and tumor human breast epithelial cells and xenograft lesions: biomarkers of progression. Int J Cancer 124: 2813–2828.SH KimFR MillerL. TaitJ. ZhengRF Novak2009Proteomic and phosphoproteomic alterations in benign, premalignant and tumor human breast epithelial cells and xenograft lesions: biomarkers of progression.Int J Cancer12428132828
- 46. Darling EM, Zauscher S, Block JA, Guilak F (2007) A thin-layer model for viscoelastic, stress-relaxation testing of cells using atomic force microscopy: do cell properties reflect metastatic potential? Biophys J 92: 1784–1791.EM DarlingS. ZauscherJA BlockF. Guilak2007A thin-layer model for viscoelastic, stress-relaxation testing of cells using atomic force microscopy: do cell properties reflect metastatic potential?Biophys J9217841791
- 47. Guck J, Schinkinger S, Lincoln B, Wottawah F, Ebert S, et al. (2005) Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence. Biophys J 88: 3689–3698.J. GuckS. SchinkingerB. LincolnF. WottawahS. Ebert2005Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence.Biophys J8836893698
- 48. Cross SE, Jin YS, Rao J, Gimzewski JK (2007) Nanomechanical analysis of cells from cancer patients. Nat Nanotechnol 2: 780–783.SE CrossYS JinJ. RaoJK Gimzewski2007Nanomechanical analysis of cells from cancer patients.Nat Nanotechnol2780783
- 49. Baker EL, Lu J, Yu D, Bonnecaze RT, Zaman MH (2010) Cancer cell stiffness: integrated roles of three-dimensional matrix stiffness and transforming potential. Biophys J 99: 2048–2057.EL BakerJ. LuD. YuRT BonnecazeMH Zaman2010Cancer cell stiffness: integrated roles of three-dimensional matrix stiffness and transforming potential.Biophys J9920482057
- 50. Yeung T, Georges PC, Flanagan LA, Marg B, Ortiz M, et al. (2005) Effects of substrate stiffness on cell morphology, cytoskeletal structure, and adhesion. Cell Motil Cytoskeleton 60: 24–34.T. YeungPC GeorgesLA FlanaganB. MargM. Ortiz2005Effects of substrate stiffness on cell morphology, cytoskeletal structure, and adhesion.Cell Motil Cytoskeleton602434
- 51. Engler A, Bacakova L, Newman C, Hategan A, Griffin M, et al. (2004) Substrate compliance versus ligand density in cell on gel responses. Biophys J 86: 617–628.A. EnglerL. BacakovaC. NewmanA. HateganM. Griffin2004Substrate compliance versus ligand density in cell on gel responses.Biophys J86617628
- 52. Tilghman RW, Cowan CR, Mih JD, Koryakina Y, Gioeli D, et al. (2010) Matrix rigidity regulates cancer cell growth and cellular phenotype. PLoS One 5: e12905.RW TilghmanCR CowanJD MihY. KoryakinaD. Gioeli2010Matrix rigidity regulates cancer cell growth and cellular phenotype.PLoS One5e12905
- 53. Tseng Q, Wang I, Duchemin-Pelletier E, Azioune A, Carpi N, et al. (2011) A new micropatterning method of soft substrates reveals that different tumorigenic signals can promote or reduce cell contraction levels. Lab Chip 11: 2231–2240.Q. TsengI. WangE. Duchemin-PelletierA. AziouneN. Carpi2011A new micropatterning method of soft substrates reveals that different tumorigenic signals can promote or reduce cell contraction levels.Lab Chip1122312240
- 54. Indra I, Undyala V, Kandow C, Thirumurthi U, Dembo M, et al. (2011) An in vitro correlation of mechanical forces and metastatic capacity. Phys Biol 8: 015015.I. IndraV. UndyalaC. KandowU. ThirumurthiM. Dembo2011An in vitro correlation of mechanical forces and metastatic capacity.Phys Biol8015015
- 55. Dennis C (2006) Cancer: off by a whisker. Nature 442: 739–741.C. Dennis2006Cancer: off by a whisker.Nature442739741