Andrew W Holle1,2, Neethu Govindan Kutty Devi1, Kim Clar1,3, Anthony Fan4, Taher Saif4, Ralf Kemkemer1,3, Joachim P Spatz1,2. 1. Department of Cellular Biophysics , Max Planck Institute for Medical Research , Heidelberg 69120 , Germany. 2. Department of Biophysical Chemistry , University of Heidelberg , Heidelberg 69117 , Germany. 3. Department of Applied Chemistry , Reutlingen University , Reutlingen 72762 , Germany. 4. Department of Mechanical Science and Engineering , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.
Abstract
Cancer cell invasion through physical barriers in the extracellular matrix (ECM) requires a complex synergy of traction force against the ECM, mechanosensitive feedback, and subsequent cytoskeletal rearrangement. PDMS microchannels were used to investigate the transition from mesenchymal to amoeboid invasion in cancer cells. Migration was faster in narrow 3 μm-wide channels than in wider 10 μm channels, even in the absence of cell-binding ECM proteins. Cells permeating narrow channels exhibited blebbing and had smooth leading edge profiles, suggesting an ECM-induced transition from mesenchymal invasion to amoeboid invasion. Live cell labeling revealed a mechanosensing period in which the cell attempts mesenchymal-based migration, reorganizes its cytoskeleton, and proceeds using an amoeboid phenotype. Rho/ROCK (amoeboid) and Rac (mesenchymal) pathway inhibition revealed that amoeboid invasion through confined environments relies on both pathways in a time- and ECM-dependent manner. This demonstrates that cancer cells can dynamically modify their invasion programming to navigate physically confining matrix conditions.
Cancer cell invasion through physical barriers in the extracellular matrix (ECM) requires a complex synergy of traction force against the ECM, mechanosensitive feedback, and subsequent cytoskeletal rearrangement. PDMS microchannels were used to investigate the transition from mesenchymal to amoeboid invasion in cancer cells. Migration was faster in narrow 3 μm-wide channels than in wider 10 μm channels, even in the absence of cell-binding ECM proteins. Cells permeating narrow channels exhibited blebbing and had smooth leading edge profiles, suggesting an ECM-induced transition from mesenchymal invasion to amoeboid invasion. Live cell labeling revealed a mechanosensing period in which the cell attempts mesenchymal-based migration, reorganizes its cytoskeleton, and proceeds using an amoeboid phenotype. Rho/ROCK (amoeboid) and Rac (mesenchymal) pathway inhibition revealed that amoeboid invasion through confined environments relies on both pathways in a time- and ECM-dependent manner. This demonstrates that cancer cells can dynamically modify their invasion programming to navigate physically confining matrix conditions.
Entities:
Keywords:
Cancer cell invasion; confined migration; mechanobiology; microchannels
Cancer cell
invasion is a critical
step in primary tumor metastasis. In this process, proliferating cells
from a tumor break free from the tumor microenvironment, often led
by a single invasive cell, and invade into the surrounding stromal
tissue. These cells then travel through diverse physical extracellular
matrix conditions, frequently crossing several tissue boundaries before
intravasating into a circulatory or lymphatic vessel. During a period
of transport and interaction with other cells, surviving invasive
cells are carried to capillary beds of distant organs, followed by
extravasation into the tissue. This establishes a new tissue microenvironment,
allowing for proliferation, angiogenesis, and further spread of the
metastatic cancer.[1] Although there are
key differences,[2] the invasion, intravasation,
and extravasation processes have much in common, including the utilization
of several similar signaling pathways.[3] Most importantly, the metastatic process can commence with the invasion
of a single cancer cell through narrow confinements in the surrounding
extracellular matrix (ECM).[4] Second and
third harmonic intravital microscopy has revealed that individual
cancer cells can traverse tracks and spaces within healthy tissue,
including myofibers, collagen networks, fat tissue, and perineural
tracks. In these tracks, cells were found to have diameters as low
as 2 μm and speeds of around 0.25 μm per minute.[5] Invading cells follow tracks of great length
(>750 μm) compared to the diameter of a spread cell (∼50
μm), suggesting that sustained linear confinement, distinct
from pores, is a common physical environment for invading cancer cells.[5] Recently, confocal laser endomicroscopy has been
used in vivo to identify similar channels with sub-10
μm diameters and lengths exceeding 150 μm in the interstitial
space of a number of tissues.[6] Thus, synthetic
approaches to monitoring cells moving through confined spaces have
great relevance in the field of cancer invasion.Assays aimed
at understanding cancer cell invasion in vitro exist
along two continuums: from population-level analysis to single-cell
analysis and from random confinement dimensions to well-defined dimensions
(Figure A). Currently,
the most widely adopted standard for analyzing quasi-three-dimensional
confined cancer cell invasion is the Boyden chamber assay, in which
populations of cells migrate through stiff pores with defined dimensions
(ranging from 3 to 8 μm in diameter and 6 to 10 μm in
length) into the opposite region.[7] However,
this assay is best suited for understanding bulk invasion, and it
is difficult to observe migration on a single-cell level. Other three-dimensional
(3D) assays utilize cell-permeable 3D matrix-like collagen gels[8] or Matrigel,[9] but
cells in these gels can be difficult to image and the physical passages
cells traverse are not uniform. “Pinch-point” assays
can follow single-cell behavior by utilizing narrow confinements in
which the length of the passage is less than the diameter of a spread
cell (∼50 μm).[10,11] Boyden chamber assays,
in which membrane thickness is usually between 6 and 10 μm,
also fall under this category.[12] As pinch-point
assays allow the cell to be partially “in” and partially
“out” of the channel,[13] they
can mimic the short confinements encountered during intravasation
and extravasation. Alternatively, longer channel lengths are more
faithful reproductions of long ECM tracks found in vivo.[5,6] Microchannel systems address this by allowing for
the analysis of cancer invasion events down to a single cell in a
3D channel with defined micron-scale dimensions and have become increasingly
utilized.[14−18]
Figure 1
Microchannels
as tools for understanding cancer cell confined migration.
(A) Microchannels are both well-defined with respect to passage dimension
and conducive to single-cell analysis. Parallel plate assays are capable
of single-cell analysis, but cells are unconfined in two dimensions.
Network invasion assays and Boyden chamber assays follow populations
of cells as they invade a hydrogel (undefined pore sizes) or porous
membrane (defined pore sizes), but are inconvenient for single-cell
analysis. (B) The PDMS microchannel chip has 150 μm passage
lengths, 11 μm heights, and are either 10 μm (wide) or
3 μm (narrow) in diameter. (C) A panel of four breast cancer
cell lines and four colon cancer cell lines were analyzed in microchannels.
Proportions of cells observed penetrating (blue), invading (orange),
or permeating (green) are shown. In cases in which no cells interacted
with the channels, gray bars are displayed. N = 408,
87, 102, 60, 64, 28, 32, 0, 10, 0, 200, 18, 71, 46, 7, and 17 cells.
(D) Average cell speed during channel permeation for cell lines capable
of 10 and 3 μm permeation. N = 32, 12, 11,
9, 15, 10, 8, and 19 cells from left to right, with individual cells
represented as data points. Error bars represent 95% confidence intervals.
(* p < 0.05, ** p < 0.01,
*** p < 0.001, t test: MDA-MB-231 t = 2.126, DF = 23, HS578T t = 3.23, DF
= 18, BT549 t = 2.126, DF = 23).
Microchannels
as tools for understanding cancer cell confined migration.
(A) Microchannels are both well-defined with respect to passage dimension
and conducive to single-cell analysis. Parallel plate assays are capable
of single-cell analysis, but cells are unconfined in two dimensions.
Network invasion assays and Boyden chamber assays follow populations
of cells as they invade a hydrogel (undefined pore sizes) or porous
membrane (defined pore sizes), but are inconvenient for single-cell
analysis. (B) The PDMS microchannel chip has 150 μm passage
lengths, 11 μm heights, and are either 10 μm (wide) or
3 μm (narrow) in diameter. (C) A panel of four breast cancer
cell lines and four colon cancer cell lines were analyzed in microchannels.
Proportions of cells observed penetrating (blue), invading (orange),
or permeating (green) are shown. In cases in which no cells interacted
with the channels, gray bars are displayed. N = 408,
87, 102, 60, 64, 28, 32, 0, 10, 0, 200, 18, 71, 46, 7, and 17 cells.
(D) Average cell speed during channel permeation for cell lines capable
of 10 and 3 μm permeation. N = 32, 12, 11,
9, 15, 10, 8, and 19 cells from left to right, with individual cells
represented as data points. Error bars represent 95% confidence intervals.
(* p < 0.05, ** p < 0.01,
*** p < 0.001, t test: MDA-MB-231 t = 2.126, DF = 23, HS578T t = 3.23, DF
= 18, BT549 t = 2.126, DF = 23).Few studies have explored cancer cell invasion through long,
confining
microchannels in the absence of a chemoattractant or pressure gradient.
The migration of Panc-1pancreatic cancer cells through fibronectin-coated
microchannels was found to be heavily dependent on keratin phosphorylation
state, with the reorganization of keratin around the nucleus leading
to an enhancement of cell deformability and an increase in cell permeation
and invasion speed.[15] This was supported
by similar findings on the role of intermediate filament organization
on contact guidance in Panc-1 cells.[19] MDA-MB-231
invasion through confined microchannels was shown to induce a change
in migratory phenotype,[16] but questions
remain about the cytoskeletal alterations that drive this change.Several recent investigations have made the connection between
confined cancer cell migration and the mesenchymal-to-amoeboid transition
(MAT).[20] Distinct from the well-known epithelial-to-mesenchymal
transition (EMT), MAT is the spontaneous switch from adhesive, focal
adhesion-dependent mesenchymal cell migration to poorly adhesive,
contractility-dependent amoeboid cell migration.[21] This transition has been induced in vitro via a number of mechanisms, including Rho activation,[22] inhibition of matrix metalloproteinases,[23] and altering integrin turnover.[24] Mechanical induction of MAT has also been demonstrated
with the use of parallel plates, both with rigid glass[25] and softer hydrogels.[26] Both of these studies allowed for direct observation of the MAT,
gleaning important information about the role of integrins, focal
adhesion proteins, and force generation. In both cases, confinement
was imposed quickly onto cells, as opposed to allowing cells to impose
confinement autonomously upon themselves as invading cancer cells
would in vivo. This rapid mechanical deformation
may induce cellular responses that are not as efficient or natural
as those produced when the cell can gradually impose confinement upon
itself. Both myofiber and perineural tracks have been measured with
intravital imaging and found to be <5 μm in diameter on average,[5] suggesting that the characteristic levels of
confinement for amoeboid induction are physiologically common in the
tumor microenvironment.To model this environment, we utilize
long, narrow microchannels
in conjunction with a chemoattractant-free system, recapitulating
the mechanical microenvironment that cancer cells face once they have
left the primary tumor and are invading through ECM tracks. By comparing
eight different cell lines from two different tissue origins, we demonstrate
the utility of microchannels as a screening tool for invasive behavior
in cancer cells. We make observations of cells transitioning from
a mesenchymal phenotype to an amoeboid phenotype of their own volition,
completely free of external chemotactic or mechanical stimuli. Using
chemical inhibitors for several pathways theorized to play a role
in this transition, we illustrate how these microchannels can be used
as a key tool in understanding and addressing the MAT in cancer cells.
As amoeboid phenotype cancer cells have been shown to be up to 20
times more invasive and markedly more resistant to chemotherapy than
mesenchymalphenotype cancer cells,[27] this
platform can play an important role in future clinically relevant
studies.Channels were fabricated in a two-step photolithographic
process
as described previously.[15] This process
yields a square-shaped chip with 11 μm-high channels with lengths
of 150 μm spanning 200 μm-high media reservoirs (Figure B). With widths of
3 or 10 μm, the channels have rectangular cross sections with
cross-sectional areas of 33 or 110 μm2. As these
chips are open to the incubator environment (i.e., not sealed microfluidic
chips), hydrostatic pressure can be assumed to be identical on both
sides, as the height of the media column is equal. The 150 μm
length requires cells to completely enter the channel in order to
move to the other side. No chemoattractant was supplied to any experimental
conditions in order to avoid any confounding effects of chemotaxis
as opposed to natural exploratory invasive cancer cell behavior.Previous reports have suggested that the ability of cancer cells
to move through confined spaces may be predictive of metastatic potential.[28] Accordingly, we used eight cancer cell lines
from either breast or colon tissue (Table S1, Supporting Information) to investigate their ability to migrate
in confinement. Of the eight cell lines, all but one were capable
of migrating through 10 μm wide channels, while only four lines
were observed migrating through the narrow 3 μm channels (Figure C). In this panel
of cell lines, the fastest migration was found in the three invasive
breast cancer lines (MDA-MB-231, HS 578T, and BT 549) (Figure D). Of the three colon cancer
cell lines, only one (HCT8) was observed moving through both 10 and
3 μm channels. Interestingly, in three of the four cell lines
capable of moving through wide and narrow confinements, migration
speed through the narrow channels was faster than through the wide
channels, despite the 70% reduction in cross-sectional area (Figure D). This increase
in invasion speed is consistent with a previous report of confinement-enhanced
migration speed in immune cells.[29]To better characterize cancer cell–microchannel interactions,
three previously developed metrics of channel interaction behavior[15] were used. In this system, “penetrative”
cells are those which extend projections into the channel but do not
fully enter, “invasive” cells are those that fully enter
the channel and either remain there or turn around and exit where
they entered, and “permeative” cells are those that
enter the channel and exit the opposite side. In MDA-MB-231 breast
cancer cells, the percentage of cells observed permeating channels
decreased as confinement increased from 10 to 3 μm, suggesting
that cells have a harder time moving through sustained levels of extreme
confinement (Figure A). However, the percentage of invasive cells also decreased in 3
μm channels, revealing that once cells fully enter a narrow
channel, they are more “committed” to moving through
to the other side than those traversing wide channels (Figure A). These observations were
confirmed by plotting the distance of the leading edge of the cell
against time (Figure B) in both 10 and 3 μm channels. These traces show that in
10 μm channels, cells exhibit a much higher amount of “back-and-forth”
behavior, with a higher frequency of leading edge retraction and stalling
than in 3 μm channels (Figure C).
Figure 2
Channel permeation dynamics of MDA-MB-231 breast cancer
cells.
(A) The average number of MDA-MB-231 cells observed penetrating, invading,
or permeating a single microchannel in 24 h. N =
28 for 10 μm channels and 21 for 3 μm channels. Error
bars represent 95% confidence intervals. (** p <
0.01, **** p < 0.0001, ANOVA, F = 11.11, DF = 108). (B) Plot of the position of the leading edge
of MDA-MB-231, BT 549, and HS578T breast cancer cells vs time during
microchannel permeation. N = 28 for 10 μm channels
and 21 for 3 μm channels. N = 55 for 10 μm
and 30 for 3 μm. (C) The proportion of “steps”
taken backward, or toward the channel entrance, during the entire
permeation process. Each data point represents a single cell. Cells
that only moved forward during permeation are observed on the x-axis. N = 55 for 10 μm and 30 for
3 μm. Error bars represent 95% confidence intervals. (*** p < 0.001, t test, t = 4.081, DF = 83). (D, E) Kymographs illustrating representative
cell dynamics during permeation in 3 μm (D) and 10 μm
(E) microchannels. Time proceeds from top to bottom and the cells
enter the microchannel on the left and exit on the right. Distinct
phases of exploration (blue), nuclear entrance (orange), and permeation
(green) are identified. Scale bar = 1 h (lower right).
Channel permeation dynamics of MDA-MB-231breast cancer
cells.
(A) The average number of MDA-MB-231 cells observed penetrating, invading,
or permeating a single microchannel in 24 h. N =
28 for 10 μm channels and 21 for 3 μm channels. Error
bars represent 95% confidence intervals. (** p <
0.01, **** p < 0.0001, ANOVA, F = 11.11, DF = 108). (B) Plot of the position of the leading edge
of MDA-MB-231, BT 549, and HS578Tbreast cancer cells vs time during
microchannel permeation. N = 28 for 10 μm channels
and 21 for 3 μm channels. N = 55 for 10 μm
and 30 for 3 μm. (C) The proportion of “steps”
taken backward, or toward the channel entrance, during the entire
permeation process. Each data point represents a single cell. Cells
that only moved forward during permeation are observed on the x-axis. N = 55 for 10 μm and 30 for
3 μm. Error bars represent 95% confidence intervals. (*** p < 0.001, t test, t = 4.081, DF = 83). (D, E) Kymographs illustrating representative
cell dynamics during permeation in 3 μm (D) and 10 μm
(E) microchannels. Time proceeds from top to bottom and the cells
enter the microchannel on the left and exit on the right. Distinct
phases of exploration (blue), nuclear entrance (orange), and permeation
(green) are identified. Scale bar = 1 h (lower right).This fast, smooth, and committed migratory behavior
in narrow channels
is also evident in kymographs, which reveal three distinct phases
of cell permeation through 3 μm channels (Figure D). The first phase, here called “exploration”,
is the initial projection of cell body, in some cases more than 100
μm long, into the channel. During the second phase, the nucleus
and most of the cell body enters the channel, which is observable
in phase contrast images as a marked increase in light intensity.
Following this, the reorganization phase sees the cell sitting at
the channel entrance almost entirely stationary. Finally, the permeation
phase happens abruptly and quickly, with the entire cell moving through
the 150 μm channel in <3 h. This demarcated process can be
contrasted with kymographs of cell permeation through 10 μm
channels, in which cell movement is slower, exhibits more back-and-forth
movement, and cannot be broken down into distinct phases (Figure E).As previous
investigations into different forms of confined migration
have identified a transition from mesenchymal style invasion to amoeboid
style invasion, we looked at the cells exiting channels for signs
of amoeboid invasion. While this MAT is still little understood, one
classic morphological marker of amoeboid invasion is blebbing at the
leading edge of the cell. Indeed, in all of the cell lines permeating
3 μm channels, bleb-like structures were observed upon exit
(Figure A) (Videos S1–S4). Accordingly, we searched for additional characteristics of mesenchymal
or amoeboid invasion in wide 10 μm and narrow 3 μm channels.
Focal adhesions, as assessed by paxillin immunocytochemistry, were
found to be more pronounced and localized in cells permeating 10 μm
channels, while cells in narrow 3 μm channels showed diffuse
paxillin expression throughout the cell body (Figure B). Using laser scanning confocal microscopy,
the actin cytoskeleton was imaged in both channel dimensions. In 10
μm channels, cells displayed robust stress fibers both inside
and outside of the channels (Figure C, Figure S1). Cells interacting
with 3 μm channels exhibited stress fibers outside the channels,
but inside the channels the cell body showed a loss of F-actin organization
(Figure D, Figure S2). Strong blebbing was observed inside
narrow channels, with blebs found at both the leading and trailing
edge of the cell, although the number and size of blebs at the leading
edge were higher (Figure E).
Figure 3
Cytoskeletal characterization during channel invasion reveals hallmarks
of mesenchymal and amoeboid invasion. (A) Bleb structures are observed
in phase contrast in all four permeative cell lines upon channel exit.
Scale bars = 10 μm. (B) Immunofluorescence staining in fixed
cells reveals punctate focal adhesions in cells transiting 10 μm
channels (left), but a loss of paxillin expression and organization
in cells transiting 3 μm channels (right). Scale bars = 10 μm.
(C, D) Maximum intensity projections of laser scanning confocal image
stacks of fixed cells in 10 and 3 μm channels. Strong F-actin
is evident in 10 μm channels, while 3 μm channels display
bleb structures at the forward and rear ends of the cell and little
perinuclear actin expression. Scale bars = 3 μm. (E) Individual
slices through the height of the channel show diverse blebs at the
leading edge. Scale bars = 3 μm.
Cytoskeletal characterization during channel invasion reveals hallmarks
of mesenchymal and amoeboid invasion. (A) Bleb structures are observed
in phase contrast in all four permeative cell lines upon channel exit.
Scale bars = 10 μm. (B) Immunofluorescence staining in fixed
cells reveals punctate focal adhesions in cells transiting 10 μm
channels (left), but a loss of paxillin expression and organization
in cells transiting 3 μm channels (right). Scale bars = 10 μm.
(C, D) Maximum intensity projections of laser scanning confocal image
stacks of fixed cells in 10 and 3 μm channels. Strong F-actin
is evident in 10 μm channels, while 3 μm channels display
bleb structures at the forward and rear ends of the cell and little
perinuclear actin expression. Scale bars = 3 μm. (E) Individual
slices through the height of the channel show diverse blebs at the
leading edge. Scale bars = 3 μm.The live-cell actin dye SiR-Actin was used in conjunction
with
laser scanning confocal microscopy to better understand actin dynamics
in both types of channels. In 10 μm channels, cells displayed
F-actin stress fibers while moving wholly in the channel (Figure A, Video S5). In 3 μm channels, cell body projections were
initially observed up to 100 μm into the channel, mirroring
observations made in Figure D. After this exploration phase was complete, and while the
bulk of the cell body was still outside of the channel, the cytoskeleton
underwent a drastic change and lost its stress fibers in a time period
of around 2 h (Figure B,C, Video S6).
Figure 4
Actin and integrin organization
during microchannel permeation.
(A–C) SiR-Actin live cell imaging of MDA-MB-231 breast cancer
cells in 10 and 3 μm-wide microchannels. Strong F-actin organization
is observed in 10 μm channels and at the periphery of 3 μm
channels before permeation occurs (A and B, insets). After protruding
over 100 μm into the narrow microchannel, the cytoskeleton at
the periphery of the 3 μm channel is reorganized (C, inset).
Scale bars = 10 μm, 1 μm in insets. (D–G) Maximum
intensity projections of laser scanning confocal image stacks of (D–G)
actin and (D′–F′) integrin β1 localization
in fixed cells during various states of permeation. Unconfined (G′)
and 10 μm channel (D′) cells exhibit strong integrin
β1 localization at the cell–matrix interface. Cells exploring
3 μm channels (E′) exhibit similar patterns, but once
cells are fully confined in the 3 μm channels (F′), integrin
localization at the cell–matrix interface is greatly reduced.
Scale bars = 10 μm. (H) The average integrin β1 intensity
measured in saponin-permeabilized cells from all four conditions. N = 18, 17, 7, and 30. Error bars represent 95% confidence
intervals. (* p < 0.05, *** p < 0.001, **** p < 0.0001. ANOVA, F = 18.08, DF = 71).
Actin and integrin organization
during microchannel permeation.
(A–C) SiR-Actin live cell imaging of MDA-MB-231breast cancer
cells in 10 and 3 μm-wide microchannels. Strong F-actin organization
is observed in 10 μm channels and at the periphery of 3 μm
channels before permeation occurs (A and B, insets). After protruding
over 100 μm into the narrow microchannel, the cytoskeleton at
the periphery of the 3 μm channel is reorganized (C, inset).
Scale bars = 10 μm, 1 μm in insets. (D–G) Maximum
intensity projections of laser scanning confocal image stacks of (D–G)
actin and (D′–F′) integrin β1 localization
in fixed cells during various states of permeation. Unconfined (G′)
and 10 μm channel (D′) cells exhibit strong integrin
β1 localization at the cell–matrix interface. Cells exploring
3 μm channels (E′) exhibit similar patterns, but once
cells are fully confined in the 3 μm channels (F′), integrin
localization at the cell–matrix interface is greatly reduced.
Scale bars = 10 μm. (H) The average integrin β1 intensity
measured in saponin-permeabilized cells from all four conditions. N = 18, 17, 7, and 30. Error bars represent 95% confidence
intervals. (* p < 0.05, *** p < 0.001, **** p < 0.0001. ANOVA, F = 18.08, DF = 71).Amoeboid movement in human cells has been shown to be an
integrin-independent
process, allowing cells to move on surfaces that do not engage integrins.[30] Using saponin-permeabilized cells, we analyzed
the localization of β1 integrin in MDA-MB-231 cells and found
it comparable in 10 μm channels to that in unconfined cells
(Figure D,E,H). For
cells in 3 μm channels, integrin localization remains similar
to that in 10 μm channels during the exploration phase (Figure F,H). Once the cell
has completed the reorganization phase and is fully confined in the
3 μm channel, integrin localization is lost (Figure G,H).To test whether
ECM binding was a requirement for channel permeation,
we analyzed cell permeation through 10 and 3 μm channels with
and without collagen functionalization. As plasma-activated PDMS is
capable of adsorbing proteins found in serum (Figure A), we performed uncoated channel experiments
with and without serum. The rate and speed of MDA-MB-231 permeation
through 10 μm channels were reduced when uncoated channels were
used with full-serum media, but interestingly, no 10 μm channel
permeation was observed through uncoated channels in serum-free media
(Figure B,C), mirroring
the low levels of migration seen on the flat glass surfaces outside
the channels (Video S7). Indeed, cells
on the flat glass surface at the edge of the channels remained rounded
and were unable to spread in the absence of serum proteins. However,
a small number of cells were able to permeate narrow 3 μm channels
in the absence of both collagen and serum proteins, proving that matrix
adhesion is dispensable for confined migration (Figure D, Video S8).
The finding that 10 μm permeation occurs less than 3 μm
permeation lends evidence to the theory that adhesion-independent
confined migration is a friction-dependent “chimneying”
process, one which requires confinement to be severe enough that outward
forces generate sufficient friction to provide traction for forward
movement.[20,26,30]
Figure 5
ECM adhesion
is required in wide channels but not in narrow channels.
(A) Collagen immunofluorescence staining in channels that have been
functionalized with collagen (left), exposed to 10% FBS in cell culture
media for 24 h (center), and exposed to serum free cell culture media
for 24 h (right). Scale bars = 10 μm. (B) The number of cells
observed permeating channels functionalized with collagen, FBS, or
no protein. Permeation was not observed in protein-free 10 μm
channels. Error bars represent 95% confidence intervals. N = 28, 21, 10, 16, 9, and 8 from left to right. (* p < 0.05, ANOVA, F = 13.71, DF = 141). (C) Average
cell speed during channel permeation. N = 32, 12,
7, 22, 0, and 1 from left to right. Error bars represent 95% confidence
intervals. (*** p < 0.001, ANOVA, F = 6.602, DF = 69). (D) Phase contrast, background subtracted images
of a cell permeating a serum-free channel (cell moves from left to
right).
ECM adhesion
is required in wide channels but not in narrow channels.
(A) Collagen immunofluorescence staining in channels that have been
functionalized with collagen (left), exposed to 10% FBS in cell culture
media for 24 h (center), and exposed to serum free cell culture media
for 24 h (right). Scale bars = 10 μm. (B) The number of cells
observed permeating channels functionalized with collagen, FBS, or
no protein. Permeation was not observed in protein-free 10 μm
channels. Error bars represent 95% confidence intervals. N = 28, 21, 10, 16, 9, and 8 from left to right. (* p < 0.05, ANOVA, F = 13.71, DF = 141). (C) Average
cell speed during channel permeation. N = 32, 12,
7, 22, 0, and 1 from left to right. Error bars represent 95% confidence
intervals. (*** p < 0.001, ANOVA, F = 6.602, DF = 69). (D) Phase contrast, background subtracted images
of a cell permeating a serum-free channel (cell moves from left to
right).Interplay between the RhoGTPases
Rac and Rho are crucial for generalized
cell migration,[31] and antagonistic signaling
between Rac and Rho has been shown to play a role in the MAT.[32] Chemical inhibitors for Rac1 (NSC23766) and
p160ROCK (Y27632) were applied to MDA-MB-231 cells to better understand
their role in self-induced confined migration. We found that Rac1
inhibition completely eliminated 10 μm permeation, as expected
due to its role in the primarily mesenchymal invasion observed in
wide channels. However, Rac inhibition also abrogated 3 μm permeation,
which exhibits more amoeboid characteristics (Figure A). This is likely due to the mesenchymal
nature of the exploration phase of 3 μm permeation, in which
the cell extends projections into the channel. Furthermore, Rac1 inhibition
completely eliminated invasion into the 3 μm channels, as no
cellular projections were observed inside the narrow channels. Alternatively,
p160ROCK inhibition did not prevent cell permeation in 3 or 10 μm
channels, but the percentage of cells only invading the channels,
but not fully permeating, increased. This suggests that fewer cells
were able to make the transition from Rac1-driven invasion to Rho-dependent
permeation (Figure B). Cell speed was negatively affected in both conditions, underlining
the role of ROCK in generation of actomyosin force for both mesenchymal
and amoeboid movement. The sustained ability of ROCK-inhibited cells
to traverse 3 μm channels, which we believe to be a contractility-dependent
process, is likely due to the compensatory role of other contractile
cytoskeletal components, including microtubules and intermediate filaments,
both of which have been shown to play a role in self-induced confined
migration.[15,16]
Figure 6
The MAT is a dynamic interplay between
Rac and Rho signaling. (A)
Proportional representation of cells penetrating, invading, or permeating
10 or 3 μm microchannels. (B) Average cell speed during channel
permeation. N = 32, 12, 8, and 4 for WT-10, WT-3,
Y27632-10, and Y27632-3, respectively. Error bars represent 95% confidence
intervals. (*** p < 0.001, ANOVA, F = 13.97, DF = 52). (C) A model for gradual transition from mesenchymal-to-amoeboid
migration as confinement level increases. At nonconfining channel
widths >20 μm, cells exclusively utilize mesenchymal migration.
As channel diameter decreases (∼10 μm), cells remain
able to utilize mesenchymal machinery (F-Actin, focal adhesions),
but can exhibit blebbing in regions where the cell completely fills
the channel. At extreme levels of confinement (∼3 μm),
cells fully transition to amoeboid migration. The image shown is a
cell moving through a 10 μm channel displaying both F-actin
bundles and blebbing at the leading edge.
The MAT is a dynamic interplay between
Rac and Rho signaling. (A)
Proportional representation of cells penetrating, invading, or permeating
10 or 3 μm microchannels. (B) Average cell speed during channel
permeation. N = 32, 12, 8, and 4 for WT-10, WT-3,
Y27632-10, and Y27632-3, respectively. Error bars represent 95% confidence
intervals. (*** p < 0.001, ANOVA, F = 13.97, DF = 52). (C) A model for gradual transition from mesenchymal-to-amoeboid
migration as confinement level increases. At nonconfining channel
widths >20 μm, cells exclusively utilize mesenchymal migration.
As channel diameter decreases (∼10 μm), cells remain
able to utilize mesenchymal machinery (F-Actin, focal adhesions),
but can exhibit blebbing in regions where the cell completely fills
the channel. At extreme levels of confinement (∼3 μm),
cells fully transition to amoeboid migration. The image shown is a
cell moving through a 10 μm channel displaying both F-actin
bundles and blebbing at the leading edge.
Characteristics
of Amoeboid Invasion Are Apparent in Narrow
Microchannels
Invasive cancer cells are capable of an adhesion-dependent
migration pattern known as mesenchymal motility. In this invasion
modality, actomyosin force generated against the ECM is transmitted
and transduced at large, integrin-rich focal adhesions, with leading
edge focal contacts serving as positive feedback with regards to the
invasion direction.[33] It is thought that
MMP activity is a prerequisite for mesenchymal motility in
vivo, and thus many efforts to combat invasion have focused
on decreasing MMP levels. However, some particularly insidious types
of cancer cells are capable of modifying their invasion modality to
overcome this loss of MMP activity. Single cancer cells can change
their invasive programming and shift from adhesion-dependent mesenchymal
motility to adhesion-independent amoeboid motility. To achieve this,
cortical actin contraction leads to hydrostatic pressure gradients,
causing changes in cell shape and an enhancement in the ability of
the cell to squeeze through physical gaps in the ECM.[34] During this process, focal adhesions remain small and diffuse.
This plasticity of migration presents a challenge for future cancer
metastasis treatments, and thus direct observation of the MAT is invaluable
to the development of clinical strategies. Here, we present evidence
that MATs happen in confined microchannels and can be recognized via
increases in cell velocity, the appearance of blebs, the loss of focal
adhesion and integrin localization, and the dramatic reorganization
of the cytoskeleton.We observed marked increases in cell velocity
in narrow 3 μm channels compared to wider 10 μm channels
(Figure D). Increases
in cell velocity as a function of confinement have been seen in several
studies, both in microchannels[35] and in
other confinement assays.[25] Increases in
cell migration velocities in tightly confined spaces have been related
to constant volume flow: As the cross-sectional area decreases, velocity
must increase commensurately.[10] Our observations
of cells in narrow 3 μm channels support this assertion, as
position traces indicate smooth, consistent migration profiles for
tightly confined cells (Figure B). Other studies have found that cell volume can change within
channels, a phenomena tied to aquaporin-regulated osmosis changes.[17]Another key sign of amoeboid invasion
is a loss of punctate focal
adhesion localization, which is likely related to lower importance
of integrin-mediated matrix attachment in amoeboid cells. Here, we
observe far fewer mature focal adhesions in narrow channels compared
to wide channels, both in exploring cells and permeating cells. Focal
adhesion protein expression was still observed, but in a diffuse cytoplasmic
pattern, suggesting that focal adhesion components are not downregulated
on an expression level, or simply that invasion occurs so quickly
that gene expression dynamics are not reflected. Additionally, we
saw a marked reduction in integrin localization at the cell–matrix
interface when cells were completely within narrow microchannels.
However, when the cell body remained mostly outside the narrow channels
during the exploration phase, integrin localization was observed at
similar levels as in wide channels. Together, this suggests that cells
exploring a narrow channel will engage their integrins, but do not
actively assemble focal adhesions. Then, once the cell fully enters
the channel, integrins become dispensable and are not observed at
the cell-ECM interface.This dispensability was confirmed by
observing cells traversing
narrow microchannels that had not been coated with ECM protein. As
serum within culture media can adsorb to PDMS and provide ECM proteins
to anchor to, we performed these experiments in serum-free media.
While cells outside the channels displayed a rounded morphology and
did not appear to bind to the surface (Video S7), those that entered the narrow microchannels were able
to quickly move from one side to the other with a similar velocity
as those moving through ECM-coated channels. Interestingly, this phenomena
was only observed in narrow 3 μm channels, not in wider 10 μm
channels, giving credence to the concept of “chimneying”,
in which a cell exerts outward force, providing friction against which
it can propel forward.[36] The characteristic
width for chimneying behavior may be cell line- or even cell size-dependent,
as amoeboid-style migration was observed in some cell lines in 10
μm channels (Video S9).The
transition from mesenchymal to amoeboid invasion is accompanied
by a loss of F-actin stress fibers.[16] We
were able to directly observe this cytoskeletal reorganization, which
took around 2 h and was complete once the cell had extended projections
over 100 μm into the channel. Another cytoskeletal sign of amoeboid
invasion was the appearance of blebs, regions where the cell membrane
detaches from the cortex as a result of hydrostatic pressure. Blebs
were markedly increased in 3 μm channels and observed in all
invasive cell types. These blebs are a hallmark of amoeboid cell invasion,[21] which are also observed in response to confinement
in Dictyostelium cells.[37] Taken together, these cell behavior changes and morphological patterns
strongly suggest that cells undergo a MAT without any external chemical
or mechanical stimuli.While there is no protein “marker”
for amoeboid invasion,
the biochemical pathways implicated in this switch were also analyzed.
Rac1 plays a large role in lamellipodia protrusion and mesenchymal
migration.[38,39] ROCK is a downstream effector
of RhoA, which promotes stress fiber formation and actomyosin contractile
force necessary for blebbing and amoeboid migration.[39,40] Y27632-mediated ROCK inhibition has been shown to prevent the switch
from mesenchymal to amoeboid invasion,[41] while inactivation of Rac1 is sufficient to drive amoeboid movement.[39] We found that both Rac1 and p160ROCK play a
role in self-induced MAT, with Rac1 responsible for generating initial
protrusions into the confined space and the Rho/ROCK pathway providing
contractile force necessary for the high cell speeds observed in narrow
channels.
Reorganization Is a Dynamic Process Requiring Hours, Not Minutes
While the connection between confinement and the MAT has been examined,
questions about the dynamic nature of this process remain. Previous
studies have also observed a “stalling” effect at the
entrance of pinch-point channels with a cross-sectional area below
30 μm2, concluding that nuclear steric hindrance
serves as an initial barrier to invasion.[10] Kymographs of cells entering narrow 3 μm channels reveal a
similar stalling effect, which we have called the “exploration
period” (Figure D). Indeed, previous studies have observed similar distinct exploration
phases in dendritic cells undergoing confined migration.[42] While our observations of increased migration
speed within more tightly confined environments are in agreement with
this observation, we have also observed cells in which extreme nuclear
deformation into the channel occurs, while the nucleus is still in
the middle region of the cell, as opposed to the trailing edge where
it can be observed in pinch-point studies[10] (Figure F). We speculate
that this is a function of channel design: As pinch-point channels
are shorter than the length of a spread cell, they allow the cell
to protrude through the channel, build focal adhesions, and generate
force on the opposite side, all while the nucleus remains “left
behind”. This actomyosin contractility-dependent process has
been observed in channels as long as 50 μm.[13] As this process can occur relatively quickly, nuclear segregation
is the likely result. Spring-like nuclear behavior in which the leading
edge moves with a constant velocity but the trailing edge stalls then
“bounces back”[10] also suggests
that cells actively pull their nucleus through “pinch-point”
obstructions, as opposed to cells in long channels that must reorganize
their cytoskeleton to successfully traverse. Indeed, recent work has
shown that DNA damage and nuclear envelope rupture occurs as cancer
cells pull their nuclei through pinch-points, with mobile repair factor
segregation and envelope repair complex localization observed.[11,12] Thus, our findings are most relevant for understanding cancer cell
migration through the interstitial matrix surrounding tumors, not
in the short barrier penetration that occurs during intravasation
and extravasation, which may be more closely modeled as pinch-point
events.Here, we show that the exploration and reorganization
phases of cancer cell invasion into microchannels can take as long
as 10 h, after which cells move quickly and efficiently to the opposite
side of the channel. This is in contrast with parallel plate experiments
that impose confinement onto cells in a matter of seconds. While these
assays do yield clear confinement-dependent MATs, they also result
in a number of “stalled” cells that did not polarize
or move in an amoeboid fashion.[25] It is
possible that in cells that have already formed strong focal adhesions,
the disassembly process under confinement is suboptimal, preventing
the cytoskeletal rearrangement that happens during the reorganization
phase of microchannel permeation.
Mesenchymal-to-Amoeboid
Transition Is Likely a Continuous Gradient,
Not a Binary Switch
While mesenchymal invasion is most common
in 10 μm channels and amoeboid invasion is most common in 3
μm channels, some cells in 10 μm channels display signs
of both mesenchymal and amoeboid invasion simultaneously (Figure C). Previous studies
using very long microchannels (500 μm) also observed similar
phenomena, with two cells within the same channel exhibiting opposite
invasion phenotypes.[43] Within parallel
confinements, Dictyostelium cells have been observed
migrating with a combination of blebs and pseudopods.[37] Fibroblasts in similar confinements were found to have
mesenchymal morphology in all conditions, but the percentage of mesenchymal
cells decreased as confinement increased.[25] Furthermore, for nearly all cell lines and channel width conditions,
the distribution of average cell speed appears slightly bimodal, suggesting
that subsets of the cells may display more mesenchymal phenotypes,
while others more efficiently switch to amoeboid migration (Figure S3). Thus, we propose a gradient model
of MAT (Figure C)
in which loose confinement results in nearly complete mesenchymal
invasion and extreme confinement results in nearly complete amoeboid
invasion. In between these extremes, the likelihood of observing one
or the other depends on how close the confinement is to either extreme.
While it is logical to speculate that these extremes are dictated
by intrinsic cellular properties, both biological and mechanical,
further research is necessary to unravel the contribution of each.
Motivating
Migration: Chemotaxis, Haptotaxis, and Contact Guidance
One
persistent question proceeding from microchannel invasion studies
is what exactly drives cancer cells to enter a confined space and
traverse it. With several notable exceptions,[15,16] most microchannel invasion studies have utilized chemoattractants
to stimulate cell migration.[11,13,17,37,44,45] Chemotaxis requires the activation of a
number of chemokine receptors and the subsequent initiation of chemotactic
pathways. Thus, exploratory cell migration, in the absence of any
chemoattractant, is likely a distinct migratory phenomenon from chemotactic
migration. Indeed, the magnitude of either soluble or bound chemokines in vivo is difficult to determine,[46] and in the ECM niche our system replicates (stiff tracks in healthy
ECM extending hundreds of microns),[5,6] chemokine gradients
may be too low for invading cancer cells to detect. Interstitial measurements
of oxygen and pH gradients in both tumors and healthy tissue reveal
extremely heterogeneous patterns within tumors, including some regions
with very low gradient magnitudes, as well as a general pattern that
gradient magnitude is higher in tumor perivascular space than in healthy
perivascular space.[47] The ability of cells
to form self-directed chemotactic gradients by degrading basal media
components has been explored recently,[48] with evidence that self-generated gradients result in migratory
waves and long-range directed migration.[49] This phenomenon is worth considering in the context of microchannels,
as the great reduction in cross-sectional area encountered when moving
into the channel causes a concordant decrease in media volume surrounding
the cell. Thus, it is conceivable that invading cells quickly degrade
nutrients in the microchannel, causing a positive chemotactic stimulus
through the channel. It must be noted, however, that in this study
(Video S10) and others,[35] cells fully within narrow microchannels have been observed
changing direction, which is not compatible with a self-directed chemotaxis
model.Self-directed chemotaxis has also been shown to be augmented
by a polarized sequestration of receptor ligands.[50] This is in agreement with the proposal of the “Osmotic
Engine Model”, in which polarized Na+/H+ pumps and aquaporin channels result in a net flux of water through
the cell, yielding cell movement in the absence of actin polymerization
and actomyosin contractility.[17] These observations
were made in a chemotaxis-based microchannel model. Indeed, experiments
performed without a chemotactic gradient found that cell migration
in narrow microchannels was over 60% slower, with the researchers
speculating that the chemoattractant gradient may help cells effectively
polarize ion pump distribution.[17] Furthermore,
aquaporin expression has been shown to increase cancer cell migration
in unconfined environments, with aquaporin localization polarized
in lamellipodia at the leading edge of collectively migrating cells,
effectively responding to a chemotactic gradient.[51] As the experimental setup in this study does not utilize
any chemoattractant gradient, the osmotic engine likely plays a smaller
role.Haptotaxis, or directed migration toward areas with higher
concentrations
of substrate-bound ligands, is another potential driver of self-induced
confinement that has been found to be relevant for cancer cells in vivo.[52] As cells are capable
of engaging all four walls of the channel (Figure S2), the local concentration of bound ligands would be higher
inside a narrow 3D channel than on the 2D surfaces outside the channels.
This local increase in integrin-binding sites provides a stimulus
for cell polarization, which has been shown to be dependent on local
ligand concentration gradients.[53] Furthermore,
1D topographical cues have been shown to drive polarization in a process
that mirrors the cues presented by 3D ECM fiber bundles. Thus, when
a cell makes a random protrusion into the channel, the channel forces
the protrusion to continue in a unidirectional fashion, which results
in a change in polarity and drives further protrusions.[54] However, the eventual escape from channels would
provide a reversion back to 2D surface ligands, meaning that haptotaxis
alone also cannot explain the entire process of microchannel permeation.Contact guidance refers to the ability of topographical features
of the matrix to direct cell migration.[55] It has been observed in cancer cells[19] and been found to influence amoeboid migration in T-lymphocytes.[56] In this case, the planar intersections at the
interface between glass and PDMS provide a degree of topographical
stimulus for cells emerging from the channels. This would explain
how, in many cases, cells emerging from the channels will follow the
PDMS–glass interface perpendicular to the channel (Video S11). Ultimately, it is likely that a
complex combination of chemotaxis, haptotaxis, and contact guidance
all contribute to self-induced cancer cell permeation, and future
work focused on preventing confined migration will need to identify
and isolate key pathways required for cancer cell invasion.
Authors: Jenna A Mosier; Samantha C Schwager; David A Boyajian; Cynthia A Reinhart-King Journal: Clin Exp Metastasis Date: 2021-06-02 Impact factor: 5.150
Authors: Erdem D Tabdanov; Nelson J Rodríguez-Merced; Alexander X Cartagena-Rivera; Vikram V Puram; Mackenzie K Callaway; Ethan A Ensminger; Emily J Pomeroy; Kenta Yamamoto; Walker S Lahr; Beau R Webber; Branden S Moriarity; Alexander S Zhovmer; Paolo P Provenzano Journal: Nat Commun Date: 2021-05-14 Impact factor: 14.919