Jennifer L Young1,2, Ximeng Hua1,2, Heidi Somsel1,2, Florian Reichart3, Horst Kessler3, Joachim P Spatz1,2. 1. Department of Cellular Biophysics , Max Planck Institute for Medical Research , 69120 Heidelberg , Germany. 2. Department of Biophysical Chemistry , Heidelberg University , 69120 Heidelberg , Germany. 3. Department of Chemistry , Technical University of Munich , 85748 Garching , Germany.
Abstract
Cancer cell-matrix interactions have been shown to enhance cancer cell survival via the activation of pro-survival signaling pathways. These pathways are initiated at the site of interaction, i.e., integrins, and thus, their inhibition has been the target of therapeutic strategies. Individual roles for fibronectin-binding integrin subtypes αvβ3 and α5β1 have been shown for various cellular processes; however, a systematic comparison of their function in adhesion-dependent chemoresistance is lacking. Here, we utilize integrin subtype-specific peptidomimetics for αvβ3 and α5β1, both as blocking agents on fibronectin-coated surfaces and as surface-immobilized adhesion sites, in order to parse out their role in breast cancer cell survival. Block copolymer micelle nanolithography is utilized to immobilize peptidomimetics onto highly ordered gold nanoparticle arrays with biologically relevant interparticle spacings (35, 50, or 70 nm), thereby providing a platform for ascertaining the dependence of ligand spacing in chemoprotection. We show that several cellular properties-morphology, focal adhesion formation, and migration-are intricately linked to both the integrin subtype and their nanospacing. Importantly, we show that chemotherapeutic drug sensitivity is highly dependent on both parameters, with smaller ligand spacing generally hindering survival. Furthermore, we identify ligand type-specific patterns of drug sensitivity, with enhanced chemosurvival when cells engage αvβ3 vs α5β1 on fibronectin; however, this is heavily reliant on nanoscale spacing, as the opposite is observed when ligands are spaced at 70 nm. These data imply that even nanoscale alterations in extracellular matrix properties have profound effects on cancer cell survival and can thus inform future therapies and drug testing platforms.
Cancer cell-matrix interactions have been shown to enhance cancer cell survival via the activation of pro-survival signaling pathways. These pathways are initiated at the site of interaction, i.e., integrins, and thus, their inhibition has been the target of therapeutic strategies. Individual roles for fibronectin-binding integrin subtypes αvβ3 and α5β1 have been shown for various cellular processes; however, a systematic comparison of their function in adhesion-dependent chemoresistance is lacking. Here, we utilize integrin subtype-specific peptidomimetics for αvβ3 and α5β1, both as blocking agents on fibronectin-coated surfaces and as surface-immobilized adhesion sites, in order to parse out their role in breast cancer cell survival. Block copolymer micelle nanolithography is utilized to immobilize peptidomimetics onto highly ordered gold nanoparticle arrays with biologically relevant interparticle spacings (35, 50, or 70 nm), thereby providing a platform for ascertaining the dependence of ligand spacing in chemoprotection. We show that several cellular properties-morphology, focal adhesion formation, and migration-are intricately linked to both the integrin subtype and their nanospacing. Importantly, we show that chemotherapeutic drug sensitivity is highly dependent on both parameters, with smaller ligand spacing generally hindering survival. Furthermore, we identify ligand type-specific patterns of drug sensitivity, with enhanced chemosurvival when cells engage αvβ3 vs α5β1 on fibronectin; however, this is heavily reliant on nanoscale spacing, as the opposite is observed when ligands are spaced at 70 nm. These data imply that even nanoscale alterations in extracellular matrix properties have profound effects on cancer cell survival and can thus inform future therapies and drug testing platforms.
Cells adhere to the extracellular
matrix (ECM) via specific receptors, mainly integrins, which subsequently
activate signaling pathways that regulate a variety of cellular functions,
e.g., motility, proliferation, polarity, differentiation, and survival.[1,2] In the tumor microenvironment, healthy ECM becomes deregulated,
causing changes in both composition and architecture, which cancer
cells have been shown to utilize to their advantage.[3−5] Interactions with the ECM can promote tumor cell extravasation,
metastasis, invasion, and most importantly, survival post-chemotherapeutic
intervention via the activation of various pro-survival signaling
pathways.[3,6−10] Consequently, researchers have taken two main approaches to mitigating
such adhesion-conferred chemoprotection—either via the perturbation
of activated pro-survival signaling pathways[11−13] or via blocking
specific integrin-mediated adhesions in order to prevent the onset
of signaling pathway initiation.[14−16] A seminal example of
the latter approach, which has also been extensively studied in the
clinic, is the blocking of the RGD cell binding sequence via an engineered
cyclic RGD pentapeptide, cilengitide (Merck KGaA). Cilengitide has
been shown to greatly hinder angiogenesis, thereby starving the tumor
and improving subsequent treatment efficacy and patient outcome in
specific cases.[16−18]Despite the exploration of numerous other integrin-targeting
strategies
(reviewed by Holle et al.)[19] with varied
outcomes, none have advanced into clinic practice. The primary obstacle
in interpreting the limited data available on adhesion-dependent chemoresistance
arises from the enormous molecular complexity of the extracellular
environment, thereby making it difficult to identify the specific
epitopes that are responsible for protective effects. Moreover, recent
studies have shown that adhesion-mediated signaling is affected not
only by the chemical nature of the adhesive environment but also by
multiple physical features of the matrix, including the spatial patterning
of adhesive epitopes available for cell binding, the topography of
the substrate, and the rigidity of the matrix.[20]Numerous previous reports have identified specific
integrin subtypes
that contribute to tumor progression (reviewed by Seguin et al.),[21] including αvβ3’s role in breast tumormetastasis to the bone[22] and α5β1’s
role in breast cancer cell invasiveness.[23] While various integrins shown to affect chemosurvival have been
the target of therapeutic interventions, a direct comparison of different
integrin subtypes in a highly controlled system has not yet been made.
Fibronectin-binding integrin subtypes αvβ3 and α5β1 exhibit individual
roles for various cellular processes including force sensing, mediating
structural adaptation to forces, focal adhesion formation, and migration.[24−27] Most importantly, they have also been shown to regulate chemoresistance
in a variety of cancer cells,[9] which leads
us to believe that they could be sensitive to alterations in matrix
properties.When studying cell–ligand interactions, it
would be prudent
to consider the nanoscale spacing between ligands that are presented
to cells. Previous work has shown that cells can indeed sense and
differentially respond to nanometer-scale alterations in ligand spacing,
affecting their migration, morphology, focal adhesion assembly, cell
adhesion, and traction force generation.[28−32] The spatial organization of available ligand binding
partners has been shown to mediate ligand clustering, thereby affecting
force-mediated contractility of the cell via “molecular clutches”
between integrins and the ECM.[31,33,34] Most important to this study, nanoscale ligand spacing has been
shown to affect melanoma cancer cell behavior and plasticity,[35,36] yet the degree to which nanoscale ligand spacing affects chemosurvival
in cancer cells is still unknown.While the exact distribution
of ligands in physiological tissues
is difficult to discern due to limitations in the resolution and accessibility
of current imaging techniques, researchers have been able to shed
some light on the range of physiologically relevant ligand spacing
of proteins and focal complexes within cells using approaches such
as immunogold labeling,[37] crystallography,[38,39] and advanced imaging techniques.[40,41] For instance,
collagen bundles exhibit a periodic structure occurring around 70
nm which is believed to be the length scale at which cells attach
to the protein,[42] while periodic binding
domains in fibronectin have been identified to be as close as 42 nm.[37] Furthermore, heterotypic protein assemblies
have been shown to alter binding site spacing, decreasing the distance
between sites by up to ∼20% from that of homotypic fibrils.[37] While in vivo measurements
are still lacking, these investigations are complicated by the fact
that cancer cells can actively reorganize the ECM, likely altering
the density of ligand binding sites dynamically.[43,44] Taken together, we aim to better understand the interplay of integrin
subtypes and nanoscale spacing of ligands in the chemosurvival of
breast cancer cells by utilizing a highly defined platform.To achieve this, we investigated two integrin subtypes that are
known to be expressed in solid tumors, αvβ3 and α5β1.[21,45] These integrin subtypes recognize the RGD-binding sequence found
in proteins commonly present or overexpressed in the tumor microenvironment,
including fibronectin, osteopontin, and/or vitronectin. In order to
study their individual roles, highly specific integrin subtype peptidomimetics
were synthesized.[46] We first plated humanmetastaticMDA-MB-231breast cancer cells on humanfibronectin (Fn),
which contains binding sites for both αvβ3 and α5β1 integrin subtypes,
and examined cell morphology with or without the addition of subtype-specific
peptidomimetics capable of blocking integrins αvβ3 or α5β1 (experimental design
outlined in Figure A). When blocking αvβ3 (thereby
engaging α5β1), cells maintain a
similar spread area compared to Fn alone, and become slightly more
rounded (Figure B,
top row; Figure C).
When blocking α5β1, thereby engaging
αvβ3, cells become significantly
smaller and rounder (Figure B, top row; Figure C,D), which is consistent with cells plated on vitronectin
(Vn), where αvβ3 is the major binding
integrin (Figure S1A–C).
Figure 1
Integrin-specific
engagement on fibronectin alters cellular and
focal adhesion morphology. (A) MDA-MB-231s were plated on immobilized
fibronectin and treated with blocking peptidomimetics as follows:
no blocking peptidomimetics engages both integrins [left]; blocking
of αvβ3 (blue ^) results in engagement
of α5β1 (purple) [middle]; and blocking
of α5β1 (purple ^) results in engagement
of αvβ3 (blue) [right]. (B) Cells
were stained for actin (red), paxillin (green), and nucleus (blue)
for (1) both α5β1 and αvβ3 engagement (left column), (2) α5β1 engagement (middle column), and (3) αvβ3 engagement (right column), with or without
drug treatment (no drug, top row; +5-FU, middle row; +paclitaxel,
bottom row). Insets show zoomed in focal adhesions. Scale bar: 50
μm. All images without a scale bar have the same scaling as
the bottom right image. Cell morphology in terms of (C) cell area
(in μm2) and (D) form factor was quantified for all
conditions, i.e., α5β1 and αvβ3 engagement (“Both”, green
bars), α5β1 engagement (purple bars),
and αvβ3 engagement (blue bars),
with or without drug treatment as indicated (no drug, no outline;
+5-FU, black outline; +paclitaxel, gray outline). Focal adhesion (FA)
morphology in terms of (E) FA area (in μm2) and (F)
major axis length (in μm) was quantified for all conditions
and graphed as in parts C and D. Data are mean ±95% CI from ncells > 186 and nFAs > 771. *p < 0.05, **p <
0.01, ***p < 0.001, ****p <
0.0001 by one-way ANOVA. All significance comparisons are listed in Table S1.
Integrin-specific
engagement on fibronectin alters cellular and
focal adhesion morphology. (A) MDA-MB-231s were plated on immobilized
fibronectin and treated with blocking peptidomimetics as follows:
no blocking peptidomimetics engages both integrins [left]; blocking
of αvβ3 (blue ^) results in engagement
of α5β1 (purple) [middle]; and blocking
of α5β1 (purple ^) results in engagement
of αvβ3 (blue) [right]. (B) Cells
were stained for actin (red), paxillin (green), and nucleus (blue)
for (1) both α5β1 and αvβ3 engagement (left column), (2) α5β1 engagement (middle column), and (3) αvβ3 engagement (right column), with or without
drug treatment (no drug, top row; +5-FU, middle row; +paclitaxel,
bottom row). Insets show zoomed in focal adhesions. Scale bar: 50
μm. All images without a scale bar have the same scaling as
the bottom right image. Cell morphology in terms of (C) cell area
(in μm2) and (D) form factor was quantified for all
conditions, i.e., α5β1 and αvβ3 engagement (“Both”, green
bars), α5β1 engagement (purple bars),
and αvβ3 engagement (blue bars),
with or without drug treatment as indicated (no drug, no outline;
+5-FU, black outline; +paclitaxel, gray outline). Focal adhesion (FA)
morphology in terms of (E) FA area (in μm2) and (F)
major axis length (in μm) was quantified for all conditions
and graphed as in parts C and D. Data are mean ±95% CI from ncells > 186 and nFAs > 771. *p < 0.05, **p <
0.01, ***p < 0.001, ****p <
0.0001 by one-way ANOVA. All significance comparisons are listed in Table S1.In order to assess effects of chemotherapeutic drugs, we employed
two commonly used compounds from which cells have been reported to
have developed chemoresistance: 5-fluorouracil (5-FU), which blocks
DNA replication, and paclitaxel (also commonly referred to as Taxol),
which disrupts microtubule breakdown.[47] When treated with 5-FU, cells on Fn become more elongated in all
conditions (Figure B, middle row; Figure D), while paclitaxel treatment causes cells to become very large
and rounded (Figure B, bottom row; Figure C,D), highlighting that the different mechanisms of action of the
two drugs can affect subsequent cell morphology in surviving cells.
The fact that these responses are also dependent upon specific ligand
interactions underscores the synergy between these two biochemical
pathways (Figure B).Focal adhesion (FA) formation and the subsequent activation of
downstream signaling pathways have been shown to be important indicators
of cancer cell invasiveness.[48] As FAs play
a major role in substrate sensing and mechanotransduction,[49] previous studies have linked alterations in
FA formation to various substrate properties, e.g., stiffness, ligand
type, topography, dimensionality, etc.[50,51] Our results
show that FA formation is affected not only by integrin subtype engagement
but also by drug treatment. First, we observe that cells engaging
only αvβ3 form small, short adhesions
(Figure B, top row; Figure E,F; Figure S1A,D,E). While drug treatment does not
greatly affect FA formation on Fn alone, engagement of α5β1 greatly hinders FA clustering in drug-treated
cells (Figure B, middle
and bottom rows; Figure E,F). Conversely, drug treatment in conjunction with αvβ3 engagement results in FA size enhancement,
with paclitaxel inducing the largest FAs (Figure B, middle and bottom rows; Figure E,F). Overall, both cell and
FA morphology were most notably affected by αvβ3 engagement, further underscoring the role this integrin subtype
plays in breast cancer cell behavior.While native proteins
are an important substrate for studying integrin
subtype-specific effects, uncontrolled parameters are inherent to
such systems (e.g., ligand spacing, the presence of other integrin
subtype binding sites, etc.) that can obscure the role of primary
mediators of cell-ECM behavior. To better isolate these variables,
we synthesized highly ordered gold nanoparticle (AuNP) arrays via
the previously described block copolymer micelle nanolithography (BCMN)
technique[52] in order to control both ligand
spacing/density and type. AuNP arrays with interparticle spacings
of 35, 50, and 70 nm were produced and characterized via SEM (Figure S3). Such biologically relevant spacings
were chosen based on previous reports of protein binding site organization,
conformation of proteins, and in vitro experiments
showing restricted integrin clustering on substrates with ligand spacing
greater than ∼73 nm.[20] Thiolated
versions of the aforementioned integrin-subtype-specific peptidomimetics
were synthesized that could specifically attach to the AuNPs,[46] thereby resulting in a highly controlled and
highly defined nanoscale substrate (schematic of experimental outline
in Figure A).
Figure 2
Integrin subtype-specific
engagement at defined nanospacing alters
cellular and focal adhesion morphology. (A) MDA-MB-231s were plated
on integrin-specific peptidomimetics, i.e., α5β1 (purple) or αvβ3 (blue),
immobilized on AuNPs with interspacings of 35, 50, or 70 nm. (B) Cells
were stained for actin (red), paxillin (green), and nucleus (blue)
on samples with AuNP spacing of (i) 35 nm, (ii) 50 nm, or (iii) 70
nm functionalized with either α5β1 (top of each set) or αvβ3 (bottom
of each set), with or without drug treatment (no drug, left column;
+5-FU, middle column; +paclitaxel, right column). Insets show zoomed
in focal adhesions. Scale bar: 50 μm. (C) Cell morphology in
terms of area (C, μm2) and form factor (D) was quantified
for all conditions, i.e., α5β1 (purple)
or αvβ3 (blue) engagement at 35,
50, or 70 nm (where decreasing opacity corresponds with increasing
spacing), with or without drug treatment (no drug, no outlines; +5-FU,
black outline; +paclitaxel, gray outline). Focal adhesion (FA) morphology
in terms of area (E, μm2) and major axis length (F,
μm) was quantified and graphed for all conditions as in parts
C and D. Data are mean ±95% CI from ncells > 71 and nFAs > 376. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by one-way
ANOVA.
All significance comparisons are listed in Table S2.
Integrin subtype-specific
engagement at defined nanospacing alters
cellular and focal adhesion morphology. (A) MDA-MB-231s were plated
on integrin-specific peptidomimetics, i.e., α5β1 (purple) or αvβ3 (blue),
immobilized on AuNPs with interspacings of 35, 50, or 70 nm. (B) Cells
were stained for actin (red), paxillin (green), and nucleus (blue)
on samples with AuNP spacing of (i) 35 nm, (ii) 50 nm, or (iii) 70
nm functionalized with either α5β1 (top of each set) or αvβ3 (bottom
of each set), with or without drug treatment (no drug, left column;
+5-FU, middle column; +paclitaxel, right column). Insets show zoomed
in focal adhesions. Scale bar: 50 μm. (C) Cell morphology in
terms of area (C, μm2) and form factor (D) was quantified
for all conditions, i.e., α5β1 (purple)
or αvβ3 (blue) engagement at 35,
50, or 70 nm (where decreasing opacity corresponds with increasing
spacing), with or without drug treatment (no drug, no outlines; +5-FU,
black outline; +paclitaxel, gray outline). Focal adhesion (FA) morphology
in terms of area (E, μm2) and major axis length (F,
μm) was quantified and graphed for all conditions as in parts
C and D. Data are mean ±95% CI from ncells > 71 and nFAs > 376. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by one-way
ANOVA.
All significance comparisons are listed in Table S2.In general, cells were smaller
on AuNP surfaces compared to Fn-coated
substrates (Figure C vs Figure C), likely
due to differences in binding site availability and organization,
which would be enhanced on Fn-coated substrates. Compared to cells
on α5β1-coated surfaces, cells on
αvβ3-coated surfaces were much larger
and more fully spread on 70 nm spacing (Figure B–D). Overall, both integrin subtypes
were affected by spacing, albeit at different length scales, as previously
reported for various other cell types.[29,53] On α5β1, cell spread area and form factor were
significantly higher on 35 nm compared to 50 or 70 nm, while on αvβ3, cells on 50 nm spacing elicited a significantly
different morphology compared to 70 nm (Figure C,D). Drug treatment was found to enhance
this spacing-sensitive response. Paclitaxel-treated cells plated on
αvβ3 exhibited significant differences
in cell area between 35 and 50 or 70 nm (Figure C). When comparing the effects of specific
spacings on the two integrin subtypes, larger nanoscale ligand spacing
resulted in the greatest changes between the two, regardless of condition,
while cells on 35 nm were more highly affected by drug treatment on
αvβ3 vs α5β1 (Figure C,D).
Additionally, cells plated on αvβ3-coated surfaces were more affected by drug treatment than those
on α5β1, exhibiting a decrease in
cell area with 5-FU treatment at 35 and 50 nm, and an increase at
70 nm. The exact opposite of this pattern was observed in response
to paclitaxel treatment, suggesting that the nanoscale environment
can impact the morphological response to chemo drugs in a pathway-specific
fashion (Figure B,C).Mirroring morphological observations, FA formation in cells on
αvβ3-coated surfaces was more affected
by drug treatment than FAs in cells on α5β1-coated surfaces (Figure B,E,F). FA area, but not necessarily length, on α5β1 is generally enhanced on larger spacing
vs smaller spacing (Figure B,E,F), as has been previously reported in osteosarcoma cells.[53] Interestingly, on αvβ3-coated surfaces, FA area and length were particularly sensitive
to paclitaxel treatment. Compared to control groups, FA area and length
in paclitaxel-treated cells decreased on 35 nm, remained unchanged
on 50 nm, and increased on 70 nm (Figure E,F). In general, drug treatment significantly
altered FA characteristics in almost all conditions. This shows that,
while neither drug specifically targets focal contacts, global changes
in cellular organization in response to chemo drugs are connected
to dynamic alterations of focal adhesion presentation, and that these
alterations are modulated by nanoscale ECM organization. Taken together,
cellular and FA morphology data indicate that cancer cells are sensitive
to both ligand type and nanoscale ligand spacing, and that this sensitivity
may play a role in ECM-modulated chemoresistance.Altered cell
motility usually accompanies the transformation of
a cancer cell to a metastatic or chemoresistant phenotype.[54,55] Additionally, subtype-specific integrin expression and abundance
have been shown to be altered in cancer progression.[56] Therefore, we analyzed cancer cell migration as a function
of integrin engagement, dimensionality, and drug treatment (Figure ). We found that
cells plated on Fn slowed in response to either drug treatment, but
most significantly with paclitaxel. Cells engaging only α5β1 on Fn behaved similarly to cells in which
both integrins could be bound (i.e., on Fn alone), mirroring cell
morphology patterns (Figure ). When engaging only αvβ3 on Fn, cell speed decreased, a pattern which was enhanced with paclitaxel
treatment (Figure A). On AuNP arrays, cells on αvβ3-coated surfaces were slower, in general, than cells on α5β1-coated surfaces (Figure B). Interestingly, cells of all conditions
were slower on 50 nm spacing than on 35 or 70 nm spacing, where they
exhibited similar speeds. While both drug treatments resulted in decreased
cell speed on αvβ3, only paclitaxel
reduced speed on α5β1. Lastly, cell
trajectories on Fn or AuNPs treated with paclitaxel were examined
compared to controls due to the fact that paclitaxel treatment hindered
cell movement in nearly all conditions (Figure C). Cells on 70 nm spaced AuNPs were more
exploratory than those on narrower spacings, which was most pronounced
on αvβ3-coated surfaces. This was
echoed on fibronectin-coated substrates, where paclitaxel-treated
cells engaging αvβ3 were also more
exploratory than those engaging α5β1 (Figure C). Previous
studies have found differing roles for integrin subtypes in migration;
e.g., β1 promotes a more random migration pattern
compared to β3, which is ultimately regulated through
Rho GTPases.[57] These data suggest that
this is not only a function of integrin subtype but also the nanoscale
presentation of extracellular ligands in combination with drug treatment.
Figure 3
Integrin
subtype-specific and nanospacing-specific cell motility.
(A) Cell motility (cell speed in μm/min) for integrin subtype-specific
engagement on fibronectin using blocking peptidomimetics vs ligand
type (both α5β1 and αvβ3 engagement, green; α5β1 engagement, purple; αvβ3 engagement, blue) and drug treatment (no drug, no outline;
+5-FU, black outline; +paclitaxel, gray outline). (B) Cell motility
for integrin subtype-specific engagement on peptidomimetics immobilized
on AuNPs with interspacings of 35, 50, or 70 nm. Data plotted as in Figure , i.e., α5β1 (purple) or αvβ3 (blue) engagement at 35, 50, or 70 nm (where decreasing opacity
corresponds with increasing spacing), with or without drug treatment
(no drug, no outlines; +5-FU, black outline; +paclitaxel, gray outline).
(C) Representative cell trajectories depicted as roseplots from the
first 17 h of the experiment of cells engaging α5β1 (two left columns) or αvβ3 (two right columns) without drug treatment or with paclitaxel
treatment (left and right column, respectively, of each set) for cells
plated on fibronectin (top row) or on AuNPs with interspacing of 35
nm (second row), 50 nm (third row), and 70 nm (last row). nFn,tracks > 287; nAuNP,tracks > 93; r = 2. Data are mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by one-way
ANOVA.
Integrin
subtype-specific and nanospacing-specific cell motility.
(A) Cell motility (cell speed in μm/min) for integrin subtype-specific
engagement on fibronectin using blocking peptidomimetics vs ligand
type (both α5β1 and αvβ3 engagement, green; α5β1 engagement, purple; αvβ3 engagement, blue) and drug treatment (no drug, no outline;
+5-FU, black outline; +paclitaxel, gray outline). (B) Cell motility
for integrin subtype-specific engagement on peptidomimetics immobilized
on AuNPs with interspacings of 35, 50, or 70 nm. Data plotted as in Figure , i.e., α5β1 (purple) or αvβ3 (blue) engagement at 35, 50, or 70 nm (where decreasing opacity
corresponds with increasing spacing), with or without drug treatment
(no drug, no outlines; +5-FU, black outline; +paclitaxel, gray outline).
(C) Representative cell trajectories depicted as roseplots from the
first 17 h of the experiment of cells engaging α5β1 (two left columns) or αvβ3 (two right columns) without drug treatment or with paclitaxel
treatment (left and right column, respectively, of each set) for cells
plated on fibronectin (top row) or on AuNPs with interspacing of 35
nm (second row), 50 nm (third row), and 70 nm (last row). nFn,tracks > 287; nAuNP,tracks > 93; r = 2. Data are mean ± SEM. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by one-way
ANOVA.While cell metrics like morphology,
focal adhesion formation, and
motility show that both integrin subtype and ligand nanospacing are
important mediators of cancer cell behavior, how these two parameters
influence cell survival has important implications in therapeutic
applications and drug screening. Therefore, cell survival was assessed
after 48 h of drug treatment based on integrin subtype on both Fn
and AuNP arrays, with either 5-FU or paclitaxel treatment (Figure ). When treated with
either drug, cells on Fn alone exhibited similar survival as when
only α5β1 was engaged on Fn (Figure A). However, when
only αvβ3 was engaged on Fn, survival
was enhanced by up to ∼20% with 5-FU treatment and ∼10%
with paclitaxel (Figure A).
Figure 4
Chemosurvival is dependent on integrin subtypes and nanoscale dimensionality.
(A) Percent survival of cells treated with 5-FU (black outline) or
paclitaxel (gray outline) plated on fibronectin with integrin-specific
engagement as indicated (both, i.e., α5β1 and αvβ3, green; α5β1, purple; αvβ3, blue). (B) Percent survival of cells treated with 5-FU (black
outline) or paclitaxel (denoted as “P” on the x-axis, gray outline) on AuNPs functionalized with integrin-subtype-specific
peptidomimetics (α5β1 engagement,
purple; αvβ3 engagement, blue) at
interspacing of 35, 50, or 70 nm (where decreasing opacity corresponds
with increasing spacing). For samples in part A, n = 8; part B, n = 7. Data are mean ± SEM. **p < 0.01, ***p < 0.001 by one-way
ANOVA for part A and *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by two-way ANOVA for part B.
Chemosurvival is dependent on integrin subtypes and nanoscale dimensionality.
(A) Percent survival of cells treated with 5-FU (black outline) or
paclitaxel (gray outline) plated on fibronectin with integrin-specific
engagement as indicated (both, i.e., α5β1 and αvβ3, green; α5β1, purple; αvβ3, blue). (B) Percent survival of cells treated with 5-FU (black
outline) or paclitaxel (denoted as “P” on the x-axis, gray outline) on AuNPs functionalized with integrin-subtype-specific
peptidomimetics (α5β1 engagement,
purple; αvβ3 engagement, blue) at
interspacing of 35, 50, or 70 nm (where decreasing opacity corresponds
with increasing spacing). For samples in part A, n = 8; part B, n = 7. Data are mean ± SEM. **p < 0.01, ***p < 0.001 by one-way
ANOVA for part A and *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001 by two-way ANOVA for part B.The similarities found between the engagement of both integrin
subtypes and the α5β1-only engagement
can be explained by the fact that MDA-MB-231 cells express β1 more readily than αv,[58] indicating that α5β1 is
likely the dominant ligand partner for MDA-MB-231 cells on Fn. Although,
expression alone does not necessarily indicate functional output,
as distinct but complementary roles for these two integrin subtypes
in regulating contractility and adhesion strength have been shown
in fibroblasts.[24,59] Furthermore, it is well-known
that αvβ3 promotes breast cancermetastasis to the bone niche,[22] which could
explain the enhancement in chemosurvival we observe when engaging
only this integrin subtype.Next, we looked at drug responsiveness
as a function of ligand
spacing and integrin subtype using the AuNP arrays. Importantly, we
observed that cancer cell survival in response to chemotherapeutic
treatment is highly dependent on nanoscale ligand spacing, an observation
not yet reported in the literature. We demonstrated differences in
survival not only between the two integrin subtypes, but also between
drug type and ligand spacing. When cancer cells engage α5β1 integrins, higher spacing improves survival
with both 5-FU and paclitaxel treatment, but the length scale at which
this occurs is drug-dependent; i.e., 50 nm enhances survival with
5-FU, while larger spacing is required for paclitaxel (Figure B). On αvβ3, we observe the same trend with paclitaxel treatment, but
a different trend in how spacing affects cell survival with 5-FU treatment,
namely, that 50 nm spacing enhances chemosurvival (Figure B).Optimal ligand spacing
for cell spreading has previously been reported
in various cell lines to be between ∼58 and 73 nm.[28] Indeed, we observed that survival was low on
35 nm substrates vs larger spacing for all conditions, indicating
that integrin-mediated pro-survival signaling could be hindered at
such length scales. Supporting this, we found impaired focal adhesion
formation at 35 nm, as has been previously demonstrated in melanoma
cells. In that investigation, the authors linked this impaired FA
formation to the restricted size of focal adhesion proteins, i.e.,
talin at ∼60 nm, and the restricted lateral motion of integrins
during clustering.[35]Most notably,
we find that, by altering only nanoscale ligand spacing,
we were able to increase cancer cell chemosurvival by over 40% (Figure B, α5β1/paclitaxel/50 vs 70 nm), a surprisingly large
magnitude given the small change in ECM conditions. These data suggest
that even nanoscale alterations in ligand presentation can significantly
alter cancer cell survival in response to chemotherapeutic treatment,
and that these alterations are affected by not only the ligand type
but also the type of drug utilized in treatment. The observed differential
responses in chemosurvival among the different conditions likely stem
from integrin subtype-specific activation of pro-survival signaling
pathways, e.g., FAK, PI3K, or Akt,[60,61] which would
be worthwhile to explore in future studies.Although this study
examined nanoscale ligand spacing on rigid
glass substrates, ECM stiffness has been shown to be an important
mediator in mechanotransduction. Moreover, it has been shown that
matrix stiffness affects chemoresistance through such mechanisms as
cellular stiffening, focal adhesion-driven signaling, or promoting
the epithelial-to-mesenchymal transition.[10,62,63] Intriguingly, the α5β1 and αvβ3 integrin subtypes
have been shown to distinctly modulate force transmission at the cell–ECM
interface[64] via the activation of unique
signaling pathways.[65−67] Thus, future studies will focus on untangling the
complex interplay of matrix stiffness and ligand presentation in regulating
chemoresistance. This can be realized by utilizing the well-established
technique of transfer nanolithography, in which AuNP arrays can be
transferred onto soft polymeric substrates.[68] Taken together, these data call not only for a better understanding
of the intricate tumor microenvironment but also for more faithful
ECM mimics for cancer drug screening.
Authors: Marco Arnold; Elisabetta Ada Cavalcanti-Adam; Roman Glass; Jacques Blümmel; Wolfgang Eck; Martin Kantlehner; Horst Kessler; Joachim P Spatz Journal: Chemphyschem Date: 2004-03-19 Impact factor: 3.102
Authors: Hayri E Balcioglu; Hedde van Hoorn; Dominique M Donato; Thomas Schmidt; Erik H J Danen Journal: J Cell Sci Date: 2015-02-06 Impact factor: 5.285
Authors: Nicholas G Fischer; Alexandra C Kobe; Jinhong Dai; Jiahe He; Hongning Wang; John A Pizarek; David A De Jong; Zhou Ye; Shengbin Huang; Conrado Aparicio Journal: Acta Biomater Date: 2021-12-29 Impact factor: 8.947
Authors: Eva E Kurisinkal; Vincenzo Caroprese; Marianna M Koga; Diana Morzy; Maartje M C Bastings Journal: Molecules Date: 2022-08-04 Impact factor: 4.927