Abstract
The ability to observe changes in molecular behavior during cancer cell invasion in vivo remains a major challenge to our understanding of the metastatic process. Here, we demonstrate for the first time an analysis of RhoA activity at a subcellular level using FLIM-FRET imaging in a live animal model of pancreatic cancer. In invasive mouse pancreatic ductal adenocarcinoma (PDAC) cells driven by mutant p53 (p53R172H), we observed a discrete fraction of high RhoA activity at both the leading edge and rear of cells in vivo which was absent in two-dimensional in vitro cultures. Notably, this pool of active RhoA was absent in non-invasive p53(fl) knockout PDAC cells, correlating with their poor invasive potential in vivo. We used dasatanib, a clinically approved anti-invasive agent that is active in this model, to illustrate the functional importance of spatially regulated RhoA. Dasatanib inhibited the activity of RhoA at the poles of p53R172H cells in vivo and this effect was independent of basal RhoA activity within the cell body. Taken together, quantitative in vivo fluorescence life-time imaging illustrated that RhoA is not only necessary for invasion, but that subcellular spatial regulation of RhoA activity, as opposed to its global activity, is likely to govern invasion efficiency in vivo. Our findings reveal the utility of FLIM-FRET in analyzing dynamic biomarkers during drug treatment in living animals, and they also show how discrete intracellular molecular pools might be differentially manipulated by future anti-invasive therapies.
Keywords: Mutant p53, RhoGTPases, intravital-imaging, FLIM, FRET
Introduction
Coordinated activity of the RhoGTPases RhoA, Rac1 and Cdc42 has been extensively studied during cell motility and migration in vitro (1). RhoA is known to control actomyosin-based contractility and retraction at the rear of the cell while Rac and Cdc42 regulate lamellipodia and filopodia formation at the front of the cell, respectively (2, 3). The ability to visualize the precise spatial and temporal activity of RhoGTPase family members using fluorescent reporters in vitro has rapidly enhanced our understanding of their distinct roles in cell motility (4-7). This approach has also provided an insight into their role in other key biological processes and diseases such as cancer (4, 8, 9). Recently, several elegant studies have focused on RhoA activity during the initial events of protrusion at the leading edge and poles of cells in vitro (5, 10-12). In particular, using fluorescence resonance energy transfer (FRET)-reporters of individual RhoGTPases simultaneously within the same cell, RhoA activity was shown to synchronize with leading edge protrusion both spatially and temporally (11). This, in combination with the recent manipulation of Rac1 and Cdc42 activity using light-switchable probes, has confirmed that RhoA activity plays a key role in protrusion in addition to its previously reported role in cell retraction during cell motility (12). Altered expression or activity of RhoA has been positively correlated with numerous forms of human metastatic disease (8, 13-15), and taken with these novel findings regarding RhoA activity at the cell poles during motility, prompted us to assess for the first time the spatial regulation of RhoA activity during cancer cell invasion in live animals.
Pancreatic cancer is one of the most lethal forms of human cancer, with an overall 5-year survival rate of less than 5% (16, 17). Initiating KRAS mutations occur in approximately 90% of human PDACs (18-20) while TP53 mutations arise in 50-75% of human pancreatic cancers (21). Previously, we have utilized a recently developed mouse model of invasive and metastatic pancreatic cancer (22) in which Cre-Lox technology is used to target KrasG12D and mutant p53R172H to the mouse pancreas via the Pdx1 promotor. This results in the formation of preinvasive pancreatic intraepithelial neoplasms (PanINs) which develop into invasive and metastatic PDACs (22). Using this model, we have recently demonstrated that mutations of Trp53, rather than loss of p53, drives invasion and metastasis in pancreatic cancer, thereby indicating a gain-of-function role for the accumulation of mutant p53 (23). Moreover, we and others have shown that mutant p53 drives invasion and metastasis in cancers other than the pancreas, including colon, lung and breast cancer (24, 25). Recently, cooperation between mutant p53 and oncogenic Ras has been shown to activate RhoA and induce cell motility in vitro (26). In line with this, mutant p53 has also been shown to induce the expression of the RhoA-specific guanine nucleotide exchange factor GEF-H1, a regulator of RhoA activity at the leading edge and rear of the cell during motility in a large number of cancer types, including the pancreas (27, 28).
As the KrasG12D/ p53R172H mouse model (22) recapitulates human pancreatic tumourigenesis in terms of histopathology, disease progression and metastatic profile (29, 30), it provides an excellent system to examine for the first time the precise spatial regulation of RhoA activity in an in vivo model of invasive pancreatic cancer. In order to investigate the activity of RhoA, we initially established cells from invasive pancreatic tumors of Pdx1-Cre, LSL-KRasG12D/+, LSL-Trp53R172H/+ mice and corresponding non-invasive tumor cells from Pdx1-Cre, LSL-KRasG12D/+,Trp53LoxP/+ mice (23). From these cells, we generated stable PDAC lines expressing a modified version of the Raichu-RhoA FRET-reporter (4, 31). RhoA activity in individual cells within subcutaneous tumors was then assessed using fluorescence life-time imaging microscopy (FLIM)-FRET in live animals, allowing us to observe this phenomenon in a more physiological and functional context. Importantly, we demonstrate spatially restricted pools of RhoA activity that are specifically sensitive to drug treatment and correlate with invasion in vivo. This result, taken with our assessment of RhoA activity during organotypic invasion, demonstrates significant differences in the sub-cellular spatial regulation of RhoA in three-dimensions compared to standard two-dimensional culture models. Importantly, this work highlights the advantages of live, sub-cellular, animal imaging in the assessment of invasion and metastasis and demonstrates that FLIM-FRET imaging can be adapted for the in vivo assessment and quantification of subtle, context-dependent responses to therapeutic intervention in the treatment of cancer.
Materials and Methods
Cell culture
Primary mouse PDACs were derived from tumors harvested from Pdx1-Cre-GFP, LSL-KRasG12D/+, LSL-Trp53R172H/+ mice and Pdx1-Cre-GFP, LSL-KRasG12D/+, Trp53LoxP/+ mice (23). Cell lines were tested 1 month before experiments and authenticated by morphology, growth curve analysis, and Mycoplasma detection in accordance with the ATCC cell line verification test recommendations and cultured as described in detail in SI Materials and Methods.
Drug treatment in vitro and in vivo
Dasatinib (a kind gift from Bristol Myers Squibb) was administered daily by oral gavage in 80 mmol/L citrate buffer [10 mg/kg] or 100 nM in vitro (33). ROCK inhibitor Y27632 (Calbiochem) was used at 10 μM and cell permeable C3 Transferase (Cytoskeleton) was used at 0.125 μg/ml.
Plasmids
For details of the modified GFP-RFP Raichu-RhoA reporter see SI Materials and Methods.
Organotypic invasion assay
Organotypic cultures were set up as described (32).
RhoA activity assay
GTP loading of RhoA was determined using a RhoA activation kit as described in manufacturers protocol (cytoskeleton).
Imaging
All imaging was performed on a Nikon Eclipse TE2000-U inverted microscope with a LaVision Biotec Trim-scope scan head. See SI Materials and Methods.
Fluorescence life-time imaging of RhoA FRET reporter in vitro and in vivo
For detailed procedure see SI Materials and Methods.
Data Analysis
Data was analyzed using the built-in TCSPC fluorescence lifetime analysis functionality of ImSpectorPro (LaVison Biotec, Germany). See details in SI Materials and Methods.
Results and Discussion
Generation of a FLIM-FRET based genetic model of invasive pancreatic cancer
The use of FLIM to measure FRET reporters has rapidly enhanced our understanding of various biological processes by allowing us to obtain a detailed picture of protein behavior both spatially and temporally in vitro (34, 35). In order to study RhoA activity during pancreatic cancer cell invasion in vivo, we first established primary invasive pancreatic tumor cell lines from Pdx1-Cre, LSL-KRasG12D/+, LSL-Trp53R172H/+ mice and non-invasive pancreatic tumor cell lines from Pdx1-Cre, LSL-KRasG12D/+, Trp53LoxP/+ mice (23). Using these cells we then generated stable PDAC cell lines expressing a GFP-RFP variant of the Raichu-RhoA FRET-reporter (Fig. 1A) (4, 31). The resulting invasive mutant p53R172H and non-invasive p53fl PDAC cells expressing the RhoA-reporter with a common initiating KrasG12D/+ mutation (22) serve as an excellent genetic and fluorescent model system to directly compare the spatial regulation of RhoA activity in pancreatic cancer.
To examine the maximum dynamic range of the adapted Raichu-RhoA probe in its ‘open’ (inactive) or ‘closed’ (active) state we performed fluorescence life-time measurements in both invasive mutant p53R172H and non-invasive p53fl PDAC cells expressing both the dominant negative (T19N) and constitutively active (Q63L) versions of the probe (4). Transient over-expression, in both PDAC cell lines, of the T19N mutant which reduces the affinity of the probe to guanine nucleotides, resulted in a maximum inactive life-time of 2.2-2.3 ns (Fig. 1B). In contrast, transient over-expression of the Q63L GTPase-deficient mutant probe resulted in a maximum active life-time of 1.7-1.8 ns in both PDAC cell lines (Fig. 1B).
To assess the range of fluorescence life-time of the probe with known biochemical inactivation or activation, we serum starved cells for 48 hours to reduce RhoA activity and subjected cells to biochemical stimulation (see supplementary Fig. 1). Low, basal RhoA activity, is represented in the life-time color maps with red/yellow colors, while high RhoA activity is represented as blue colors and areas with a low signal to noise ratio in which a life-time measurement cannot be achieved are black. Stimulation with known RhoA activators such as lysophosphatidic acid (LPA) or calpeptin significantly activated the probe globally giving an average life-time of approximately 1.8 ns and 1.9 ns respectively (see supplementary Fig. 1A-C with accompanying life-time color maps and Rhotekin pull-down assay), while addition of cell-permeable C3 transferase resulted in the probe remaining in the inactive state (see supplementary Fig. 1A) (1, 36). Finally, in line with this, over-expression of a constitutively active RhoGEF, onco-Lbc (37), also significantly activated the RhoA reporter globally within the cell resulting in an average life-time of 1.7-1.8 ns (see supplementary Fig. 1A).
To assess whether fluorescence life-time imaging could be used to rapidly and accurately detect subtle changes in RhoA activity, invasive mutant p53R172H PDAC cells were initially subjected to wound heal assays in which the activity of RhoA in individual cells at the leading edge of the wound was compared to confluent cells at the rear within different time frames. At early time points after wounding, small sub-populations of cells proximal to the wound edge showed significant activation of RhoA activity, as determined by low fluorescence life-time measurements resulting from FRET of the RhoA reporter (Fig. 1C, white arrows indicate active cells with a fluorescence life-time of approximately 1.8-1.9 ns which appear blue on the life-time color map). In contrast, cells at the rear of the wound had a low basal level of activity (Fig. 1D, red arrows and quantified in Fig. 1E). Importantly, using a Rhotekin-based RhoA-GTP pull down assay, the difference in RhoA regulation at the wound edge could not be detected when only one scratch wound was performed (Fig. 1F). Only when multiple wounds where performed was the activation of RhoA apparent in the Rhotekin-based pull down assay (Fig. 1F), demonstrating the advantages of single-cell fluorescence life-time imaging over standard biochemical techniques in which these effects may be masked.
The specific activation of RhoA in cells at the wound edge suggests that a gradient of RhoA activity may exist within the local environment of migrating tumors. In line with this, differential activity or expression of key proteins at the invasive edge of tumors, or in ‘hot spots’ within a tumor population in vivo, have previously been demonstrated using immunohistochemical staining of fixed tumor sections (33, 38). Consistent with this, using FRAP or photoactivation, we have recently demonstrated in vivo that E-cadherin-based junctions and plasma membrane dynamics, both of which play vital roles in invasion, are also locally regulated by different environmental cues within the tumor cell population (39). Using FLIM-FRET to assess protein behavior in individual cells, within living animals, during invasion would therefore provide a more detailed understanding of cell activity during this process and may ultimately contribute to the development of novel targeted anti-invasive drug therapies.
Spatial regulation of RhoA activity during three-dimensional organotypic pancreatic cancer invasion
Invasion in complex three-dimensional matrices that mimic in vivo conditions, such as organotypic assays, has revealed distinct modes of cell locomotion adopted by cancer cells that are governed by both the surrounding stromal cells and the density and topography of the extracellular matrix (40, 41). To determine whether RhoA plays a role in mutant p53R172H-driven pancreatic cancer cell invasion (23, 27, 28) we examined PDAC cell invasion in a three-dimensional organotypic model. We established organotypic cultures of primary human fibroblasts and rat tail fibrillar collagen I (32, 40), which when exposed to an air/liquid interface creates a chemotactic gradient that induces invasion of overlayed cancer cells (see supplementary movie 2, cancer cells in green invading over fibroblasts in red). The invasion of mutant p53R172H or p53fl PDAC cells was assessed over an 8-12 day period, in combination with multiphoton-based second harmonic imaging of the surrounding extracellular matrix (ECM) (see supplementary movies 3-5, cancer cells in green, ECM appears purple). Consistent with our recent in vivo data (23), we observed that mutant p53R172H PDAC cells degrade and collectively invade into the matrix, while p53fl PDAC cells remained on top of the matrix surface (Fig. 2A,B). Quantification of the percentage of total PDAC cells in the organotypic assay that invade beyond 30 μm as a ratio of cells on top by H&E staining confirmed that expression of mutant p53R172H confers the capacity for PDAC cells to invade over time, while p53fl cells do not invade (Fig. 2C). Importantly, inhibition of ROCK, the downstream effector of RhoA, using the inhibitor Y27632 significantly reduced the invasion of mutant p53R172H PDAC cells in the organotypic assay at both 8 and 12 days of invasion (Fig. 2C and supplementary Fig 6). Similar results were observed upon treatment with cell-permeable C3 transferase, suggesting that activation of the RhoA pathway plays a critical role in pancreatic cancer cell invasion (Fig. 2C). A similar induction of invasion was observed when the human equivalent of murine p53R172H (p53R175H) was expressed in p53 null PDAC cells (Fig. 2D, E and quantified in 2F)
To specifically investigate a role for RhoA during invasion, we accurately measured RhoA activity using FLIM-FRET at day zero and day 8 of organotypic invasion. Fluorescence life-time imaging of p53fl cells on the matrix surface revealed a weak basal activity of RhoA at day zero (Fig. 3D, column 1) and when exposed to a chemotactic gradient for 8 days, failed to activate RhoA above basal levels (Fig. 3A and quantified in 3D, column 2), correlating with the absence of cell invasion (Fig. 2A). Similarly, over a longer time course of up to 21 days (see supplementary Fig. 7), these cells did not invade, consistent with in vivo data (23). In contrast, fluorescence life-time imaging of mutant p53R172H PDAC cells on the matrix surface revealed an initial weak basal activity of RhoA at day zero (Fig. 3D, column 3), however when exposed to a chemotactic gradient for 8 days, cells on the matrix surface exhibit significant RhoA activation (Fig. 3B and quantified in 3D, column 4).
Multiphoton-based FLIM-FRET provides the potential to image RhoA activity at greater penetration depths (42), however previous detection efficiencies have been a limiting factor in the use of FLIM-FRET for three-dimensional investigations. To overcome this limitation, we have utilized a multi-channel TCSPC PMT as a non-descanned detector (see Materials and Methods) allowing for accurate detection and measurement of fluorescence life-times at a depth of ~ 150 μm within an organotypic matrix (Fig. 2B, red arrows depict examples of cells analyzed by FLIM-FRET at depth). Analysis of RhoA activity up to 150 μm within the matrix (Fig. 3C), demonstrated that actively invading mutant p53R172H cells have an enhanced average activity of RhoA compared to those present on the matrix surface (quantified in Fig. 3D, column 5). A similar increase in RhoA activity at ~ 150 μm was also observed over a longer time course of up to 12 days of invasion (see supplementary Fig. 8).
Interestingly, in the majority of invading mutant p53R172H cells we observed a discrete fraction of active RhoA at the pole of the cells (Fig. 3C, white arrow and quantified in 3E). Significantly, we did not observe this sub-cellular spatial regulation of RhoA activity within cells in two-dimensional culture at the rear or front of migrating cells (Fig. 1C,D). This suggests that in a three-dimensional context, RhoA may be spatially regulated at the poles of mutant p53R172H cells to drive protrusion.
Fluorescence life-time imaging of RhoA activity in a live animal microenvironment
Our ability to use fluorescence life-time imaging at depth to assess RhoA activity in three-dimensions and the added contextual detail this provides, prompted us to investigate whether we can assess RhoA activity under more native physiological conditions in live animals. Imaging invasion in a live animal setting is inherently difficult due to sample instability, autofluorescence, poor tissue penetration and light scattering (40, 43, 44). Recent advances in multiphoton microscopy as described here, however, have improved both the resolution and imaging depth thereby providing a powerful tool for directly observing key events in the invasive and metastatic process in situ. PDAC cells were therefore grown as subcutaneous tumors in nude mice and the ability of multiphoton-based FLIM to measure activity of the RhoA reporter within tumor tissue was examined (see Materials and Methods). The added sensitivity of a multi-channel TCSPC PMT detector allowed us to detect the activity of RhoA up to ~150 μm within solid tumor tissue, allowing cells completely surrounded by ECM, stroma and vasculature to be readily assessed in vivo.
The fluorescence life-time of the RhoA reporter in PDAC cells was quantified in vivo at different sites within the tumor. Consistent with our data showing that loss, as compared with mutation, of p53 in the pancreatic mouse model results in non-invasive PDAC cells (supplementary Fig. 9 and (23)), we observed low RhoA activity in p53fl cells in vivo (Fig. 4A). In contrast, we found a geometrically distinct sub-cellular fraction of active RhoA at the poles of invasive mutant p53R172H PDAC cells in vivo (Fig. 4B white arrows and inset compared to Fig. 4A white arrows and inset). Quantification of the sub-cellular distribution within the cell body and poles confirmed that the spatial regulation of RhoA activity was only exhibited by invasive mutant p53R172H PDAC cells and not p53fl cells (Fig. 4C). This result suggests that the fraction of active RhoA at the poles of cells in vivo may contribute to invasion. This observation is consistent with recent work in zebra fish, by Kardash and colleagues, where RhoA was shown to drive protrusion in polarized germ-cells at the leading edge during embryonic development (9).
In vivo spatial regulation of RhoA activity in invasive mutant p53R172H PDAC cells upon treatment with the anti-invasive drug dasatinib
Using a genetically engineered GFP pancreatic cancer model Pdx1-Cre-GFP, LSL-KRasG12D/+, LSL-Trp53R172H/+ to image invasion and metastasis in vivo (33) we have recently shown that therapeutic intervention with dasatinib, a clinically approved anti-invasive Src inhibitor, significantly impairs metastatic burden in these mice (33). This, together with previous work by our group showing the reciprocal relationship between RhoGTPases and Src kinase activity during polarized cell motility (45) prompted us to assess the effect of dasatinib treatment on RhoA activity in the invasive mutant p53 PDACs both in organotypic assays and in live animals. Dasatinib treatment in the organotypic assay significantly reduced both murine p53R172H and human p53R175H-driven PDAC cell invasion (Fig. 5A and B), consistent with our previous finding in vivo (33). We therefore went on to investigate the effect of dasatinib on invasive mutant p53R172H PDACs in a live animal setting. Mice bearing subcutaneous PDAC tumors were treated with 10 mg/kg of dasatinib (33, 39) for 3 days prior to fluorescence life-time imaging of RhoA activity in conjunction with second harmonic imaging of the host ECM (Fig. 6A and C shows cells in green and ECM by second harmonic imaging in purple; supplementary Fig. 10 shows dasatinib-mediated inhibition of Src activity in vivo by immunoblotting). Strikingly, while the polarized and protrusive morphology of mutant p53R172H PDAC cells remained present upon dasatinib treatment (compare green fluorescence images in Fig. 6A and C, white arrows), the sub-cellular pool of RhoA activity at the front and rear of cells, as determined using FLIM, was inactivated (compare fluorescence life-time images Fig. 6B and D, white arrows and insets). Quantification confirmed that while basal RhoA activity within the cell body of mutant p53R172H PDAC cells was not affected, dasatinib treatment specifically inactivated RhoA activity at the poles of cells in vivo (Figure 6E). Whether this polar RhoA activity is driving contraction, protrusion or both in vivo is currently unknown. This however could be addressed in the future by simultaneously imaging protrusion and contraction in live animals with real-time FLIM-FRET (5, 11). Moreover, it is also possible that this spatially localized inhibition may affect cell adhesion/interaction with the surrounding ECM components in vivo as both impairment of RhoA and Src have previously been shown to play key roles in adhesion dynamics (1, 8, 45, 46). This could therefore partially explain the reduced invasive and metastatic efficiency found in dasatinib treated mice and therefore warrants further investigation in the future (33).
As we have shown, fluorescence life-time imaging allows the differential regulation of protein activity within a tumor cell population to be individually assessed (Fig. 1). Consistent with this, we find that not all cells in vivo treated with dasatinib are inactive (Fig. 6F). Approximately 80% of mutant p53R172H cells, examined using FLIM, exhibited RhoA activity in control mice and upon dasatinib treatment we observe that approximately 20% of cells remain active within the tumors, independent of drug treatment (Fig. 6F). This is likely to be due to critical differences within the solid tumor cell mass, for example due to poor vasculature or limited perfusion and access of the drug to key areas of the tumor (47). In this regard, recent exciting work has addressed the role tumor-associated matrix and stromal tissue plays in pancreatic cancer drug delivery (48). Using the mutant p53R172H mouse model described here, combination therapy to deplete tumor-associated matrix and improve vasculature using the Hedgehog inhibitor IPI-926 was shown to improve the delivery and efficacy of chemotherapeutic drug treatment to solid tumors (48). As the small fraction of active cells that we observe may progress and form micro-metastases after initial therapeutic intervention and/or tumor resection, it would be beneficial to pin-point areas of poor drug delivery within different tumor micro-environments using FLIM-FRET in the future.
The adaptation of two-dimensional fluorescence techniques for intravital imaging has resulted in a new era of context-dependent in vivo imaging, providing a greater picture of key biological events in situ (39, 42, 43, 49). Here we have demonstrated the first use of FLIM-FRET to monitor molecular dynamics of RhoA in tumors upon therapeutic intervention. In doing so, we have specifically isolated at a sub-cellular level a small yet important pool of RhoA, not observed in vitro, that is sensitive to drug treatment and correlates with invasion. These differences have implications for cancer research, in which the behavior of key molecules associated with motility, invasion and metastasis in vitro are used to reveal basic biological mechanisms which are then extrapolated back into the human disease (39, 50). Such detailed topological analysis in vivo enables the detection of subtle changes in protein activity following therapeutic interventions that are intractable to in vitro assessment and could improve the current high attrition rate of compounds entering clinical trials in the future (50).
The distinct sub-cellular regulation of RhoA at the poles of invading cells observed here sets a precedent that other key RhoGTPases or proteins involved in invasion may also be tightly regulated in such a manner in vivo. The use of this technique for the assessment of other prototypical Rho family GTPases, including Rac and Cdc42, could therefore provide insight into their coordinated regulation in vivo not only during invasion and metastasis, but also in the context of other biological processes such as transformation, cell cycle progression, transcriptional activation and response to drug treatment (1, 15, 45). Also, as described earlier, Rho GEFs, GAPs and GDIs act as integrated upstream ‘molecular switches’, critical for control of RhoGTPases, and are commonly mutated or aberrantly regulated in many cancer types including the pancreas (8). The use of FLIM to measure FRET reporters, in conjunction with the assessment of altered Rho-signaling components, could allow us to investigate whether global or site-specific deregulation of RhoGTPase activity contributes to these cancer types.
Finally, we and others have recently shown that mutant p53 drives invasion and metastasis in pancreatic, colon, lung and breast cancer (24, 25) and that altered regulation of cell-ECM interactions via integrins seems to play a central role in driving invasion (24). As RhoA is involved in integrin inside-out and outside-in signaling (46), investigation of RhoA activity in these mutant p53-driven cancers should provide a new level of detail regarding the regulation of RhoA during cell-ECM interactions in the course of invasion in vivo as a potential effector of mutant p53.
Supplementary Material
Acknowledgements
The authors wish to thank Dr Haley Bennett, Dr John Dawson, Dr Shereen Kadir, Derek Miller, Tom Hamilton, Margaret O’Prey, Tom Gilbey and David Strachan.
Grant support: P. Timpson was supported by a fellowship from AstraZeneca, E. McGhee, J. Morton, A v. Kriegsheim, J. Schwarz, S. Karim, B. Doyle, M. Olson, O. Sansom and K. Anderson supported by a Cancer Research UK core grant. V. Brunton and M. Frame by Cancer Research UK program grant C157/A9148.
Footnotes
The authors have no conflict of interest.
References
- 1.Nobes CD, Hall A. Rho, rac, and cdc42 GTPases regulate the assembly of multimolecular focal complexes associated with actin stress fibers, lamellipodia, and filopodia. Cell. 1995;81:53–62. doi: 10.1016/0092-8674(95)90370-4. [DOI] [PubMed] [Google Scholar]
- 2.Ridley AJ, Hall A. The small GTP-binding protein rho regulates the assembly of focal adhesions and actin stress fibers in response to growth factors. Cell. 1992;70:389–99. doi: 10.1016/0092-8674(92)90163-7. [DOI] [PubMed] [Google Scholar]
- 3.Ridley AJ, Paterson HF, Johnston CL, Diekmann D, Hall A. The small GTP-binding protein rac regulates growth factor-induced membrane ruffling. Cell. 1992;70:401–10. doi: 10.1016/0092-8674(92)90164-8. [DOI] [PubMed] [Google Scholar]
- 4.Yoshizaki H, Ohba Y, Kurokawa K, et al. Activity of Rho-family GTPases during cell division as visualized with FRET-based probes. J Cell Biol. 2003;162:223–32. doi: 10.1083/jcb.200212049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pertz O, Hodgson L, Klemke RL, Hahn KM. Spatiotemporal dynamics of RhoA activity in migrating cells. Nature. 2006;440:1069–72. doi: 10.1038/nature04665. [DOI] [PubMed] [Google Scholar]
- 6.Kraynov VS, Chamberlain C, Bokoch GM, Schwartz MA, Slabaugh S, Hahn KM. Localized Rac activation dynamics visualized in living cells. Science. 2000;290:333–7. doi: 10.1126/science.290.5490.333. [DOI] [PubMed] [Google Scholar]
- 7.Nalbant P, Hodgson L, Kraynov V, Toutchkine A, Hahn KM. Activation of endogenous Cdc42 visualized in living cells. Science. 2004;305:1615–9. doi: 10.1126/science.1100367. [DOI] [PubMed] [Google Scholar]
- 8.Malliri A, Collard JG. Role of Rho-family proteins in cell adhesion and cancer. Curr Opin Cell Biol. 2003;15:583–9. doi: 10.1016/s0955-0674(03)00098-x. [DOI] [PubMed] [Google Scholar]
- 9.Kardash E, Reichman-Fried M, Maitre JL, et al. A role for Rho GTPases and cell-cell adhesion in single-cell motility in vivo. Nat Cell Biol. 2010;12:47–53. doi: 10.1038/ncb2003. sup pp 1-11. [DOI] [PubMed] [Google Scholar]
- 10.Kurokawa K, Matsuda M. Localized RhoA activation as a requirement for the induction of membrane ruffling. Mol Biol Cell. 2005;16:4294–303. doi: 10.1091/mbc.E04-12-1076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Machacek M, Hodgson L, Welch C, et al. Coordination of Rho GTPase activities during cell protrusion. Nature. 2009;461:99–103. doi: 10.1038/nature08242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Wu YI, Frey D, Lungu OI, et al. A genetically encoded photoactivatable Rac controls the motility of living cells. Nature. 2009;461:104–8. doi: 10.1038/nature08241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fingleton B. Molecular targets in metastasis: lessons from genomic approaches. Cancer Genomics Proteomics. 2007;4:211–21. [PubMed] [Google Scholar]
- 14.Narumiya S, Tanji M, Ishizaki T. Rho signaling, ROCK and mDia1, in transformation, metastasis and invasion. Cancer Metastasis Rev. 2009;28:65–76. doi: 10.1007/s10555-008-9170-7. [DOI] [PubMed] [Google Scholar]
- 15.Chan CH, Lee SW, Li CF, et al. Deciphering the transcriptional complex critical for RhoA gene expression and cancer metastasis. Nat Cell Biol. 2010;12:457–67. doi: 10.1038/ncb2047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Warshaw AL, Fernandez-del Castillo C. Pancreatic carcinoma. N Engl J Med. 1992;326:455–65. doi: 10.1056/NEJM199202133260706. [DOI] [PubMed] [Google Scholar]
- 17.Jensen OM, Esteve J, Moller H, Renard H. Cancer in the European Community and its member states. Eur J Cancer. 1990;26:1167–256. doi: 10.1016/0277-5379(90)90278-2. [DOI] [PubMed] [Google Scholar]
- 18.Almoguera C, Shibata D, Forrester K, Martin J, Arnheim N, Perucho M. Most human carcinomas of the exocrine pancreas contain mutant c-K-ras genes. Cell. 1988;53:549–54. doi: 10.1016/0092-8674(88)90571-5. [DOI] [PubMed] [Google Scholar]
- 19.Aguirre AJ, Bardeesy N, Sinha M, et al. Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma. Genes Dev. 2003;17:3112–26. doi: 10.1101/gad.1158703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hingorani SR, Petricoin EF, Maitra A, et al. Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse. Cancer Cell. 2003;4:437–50. doi: 10.1016/s1535-6108(03)00309-x. [DOI] [PubMed] [Google Scholar]
- 21.Scarpa A, Capelli P, Mukai K, et al. Pancreatic adenocarcinomas frequently show p53 gene mutations. Am J Pathol. 1993;142:1534–43. [PMC free article] [PubMed] [Google Scholar]
- 22.Hingorani SR, Wang L, Multani AS, et al. Trp53R172H and KrasG12D cooperate to promote chromosomal instability and widely metastatic pancreatic ductal adenocarcinoma in mice. Cancer Cell. 2005;7:469–83. doi: 10.1016/j.ccr.2005.04.023. [DOI] [PubMed] [Google Scholar]
- 23.Morton JP, Timpson P, Karim SA, et al. Mutant p53 drives metastasis and overcomes growth arrest/senescence in pancreatic cancer. Proc Natl Acad Sci U S A. 2009;107:246–51. doi: 10.1073/pnas.0908428107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Muller PA, Caswell PT, Doyle B, et al. Mutant p53 drives invasion by promoting integrin recycling. Cell. 2009;139:1327–41. doi: 10.1016/j.cell.2009.11.026. [DOI] [PubMed] [Google Scholar]
- 25.Adorno M, Cordenonsi M, Montagner M, et al. A Mutant-p53/Smad complex opposes p63 to empower TGFbeta-induced metastasis. Cell. 2009;137:87–98. doi: 10.1016/j.cell.2009.01.039. [DOI] [PubMed] [Google Scholar]
- 26.Xia M, Land H. Tumor suppressor p53 restricts Ras stimulation of RhoA and cancer cell motility. Nat Struct Mol Biol. 2007;14:215–23. doi: 10.1038/nsmb1208. [DOI] [PubMed] [Google Scholar]
- 27.Mizuarai S, Yamanaka K, Kotani H. Mutant p53 induces the GEF-H1 oncogene, a guanine nucleotide exchange factor-H1 for RhoA, resulting in accelerated cell proliferation in tumor cells. Cancer Res. 2006;66:6319–26. doi: 10.1158/0008-5472.CAN-05-4629. [DOI] [PubMed] [Google Scholar]
- 28.Nalbant P, Chang YC, Birkenfeld J, Chang ZF, Bokoch GM. Guanine nucleotide exchange factor-H1 regulates cell migration via localized activation of RhoA at the leading edge. Mol Biol Cell. 2009;20:4070–82. doi: 10.1091/mbc.E09-01-0041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Olive KP, Tuveson DA. The use of targeted mouse models for preclinical testing of novel cancer therapeutics. Clin Cancer Res. 2006;12:5277–87. doi: 10.1158/1078-0432.CCR-06-0436. [DOI] [PubMed] [Google Scholar]
- 30.Hruban RH, Adsay NV, Albores-Saavedra J, et al. Pathology of genetically engineered mouse models of pancreatic exocrine cancer: consensus report and recommendations. Cancer Res. 2006;66:95–106. doi: 10.1158/0008-5472.CAN-05-2168. [DOI] [PubMed] [Google Scholar]
- 31.Carlin LM, Makrogianneli K, Keppler M, Fruhwirth GO, Ng T. Visualisation of signalling in immune cells. Methods Mol Biol. 2010;616:97–113. doi: 10.1007/978-1-60761-461-6_7. [DOI] [PubMed] [Google Scholar]
- 32.Edward M, Gillan C, Micha D, Tammi RH. Tumour regulation of fibroblast hyaluronan expression: a mechanism to facilitate tumour growth and invasion. Carcinogenesis. 2005;26:1215–23. doi: 10.1093/carcin/bgi064. [DOI] [PubMed] [Google Scholar]
- 33.Morton JP, Karim SA, Graham K, et al. Dasatinib inhibits the development of metastases in a mouse model of pancreatic ductal adenocarcinoma. Gastroenterology. 2010 doi: 10.1053/j.gastro.2010.03.034. [DOI] [PubMed] [Google Scholar]
- 34.Dehmelt L, Bastiaens PI. Spatial organization of intracellular communication: insights from imaging. Nat Rev Mol Cell Biol. 2010;11:440–52. doi: 10.1038/nrm2903. [DOI] [PubMed] [Google Scholar]
- 35.Festy F, Ameer-Beg SM, Ng T, Suhling K. Imaging proteins in vivo using fluorescence lifetime microscopy. Mol Biosyst. 2007;3:381–91. doi: 10.1039/b617204k. [DOI] [PubMed] [Google Scholar]
- 36.Schoenwaelder SM, Burridge K. Evidence for a calpeptin-sensitive protein-tyrosine phosphatase upstream of the small GTPase Rho. A novel role for the calpain inhibitor calpeptin in the inhibition of protein-tyrosine phosphatases. J Biol Chem. 1999;274:14359–67. doi: 10.1074/jbc.274.20.14359. [DOI] [PubMed] [Google Scholar]
- 37.Olson MF, Sterpetti P, Nagata K, Toksoz D, Hall A. Distinct roles for DH and PH domains in the Lbc oncogene. Oncogene. 1997;15:2827–31. doi: 10.1038/sj.onc.1201594. [DOI] [PubMed] [Google Scholar]
- 38.Tlsty TD, Coussens LM. Tumor stroma and regulation of cancer development. Annu Rev Pathol. 2006;1:119–50. doi: 10.1146/annurev.pathol.1.110304.100224. [DOI] [PubMed] [Google Scholar]
- 39.Serrels A, Timpson P, Canel M, et al. Real-time study of E-cadherin and membrane dynamics in living animals: implications for disease modeling and drug development. Cancer Res. 2009;69:2714–9. doi: 10.1158/0008-5472.CAN-08-4308. [DOI] [PubMed] [Google Scholar]
- 40.Gaggioli C, Hooper S, Hidalgo-Carcedo C, et al. Fibroblast-led collective invasion of carcinoma cells with differing roles for RhoGTPases in leading and following cells. Nat Cell Biol. 2007;9:1392–400. doi: 10.1038/ncb1658. [DOI] [PubMed] [Google Scholar]
- 41.Wolf K, Wu YI, Liu Y, et al. Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion. Nat Cell Biol. 2007;9:893–904. doi: 10.1038/ncb1616. [DOI] [PubMed] [Google Scholar]
- 42.Weissleder R, Pittet MJ. Imaging in the era of molecular oncology. Nature. 2008;452:580–9. doi: 10.1038/nature06917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Condeelis J, Segall JE. Intravital imaging of cell movement in tumours. Nat Rev Cancer. 2003;3:921–30. doi: 10.1038/nrc1231. [DOI] [PubMed] [Google Scholar]
- 44.Hoffman RM. Recent advances on in vivo imaging with fluorescent proteins. Methods Cell Biol. 2008;85:485–95. doi: 10.1016/S0091-679X(08)85021-2. [DOI] [PubMed] [Google Scholar]
- 45.Timpson P, Jones GE, Frame MC, Brunton VG. Coordination of cell polarization and migration by the Rho family GTPases requires Src tyrosine kinase activity. Curr Biol. 2001;11:1836–46. doi: 10.1016/s0960-9822(01)00583-8. [DOI] [PubMed] [Google Scholar]
- 46.Ginsberg MH, Partridge A, Shattil SJ. Integrin regulation. Curr Opin Cell Biol. 2005;17:509–16. doi: 10.1016/j.ceb.2005.08.010. [DOI] [PubMed] [Google Scholar]
- 47.Tredan O, Galmarini CM, Patel K, Tannock IF. Drug resistance and the solid tumor microenvironment. J Natl Cancer Inst. 2007;99:1441–54. doi: 10.1093/jnci/djm135. [DOI] [PubMed] [Google Scholar]
- 48.Olive KP, Jacobetz MA, Davidson CJ, et al. Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science. 2009;324:1457–61. doi: 10.1126/science.1171362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Timpson P, Serrels A, Canel M, Frame MC, Brunton VG, Anderson KI. Quantitative real-time imaging of molecular dynamics during cancer cell invasion and metastasis in vivo. Cell Adh Migr. 2009;3:351–4. doi: 10.4161/cam.3.4.9460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kamb A. What’s wrong with our cancer models? Nat Rev Drug Discov. 2005;4:161–5. doi: 10.1038/nrd1635. [DOI] [PubMed] [Google Scholar]
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