Mechanical interaction between cells - specifically distortion of tensional homeostasis-emerged as an important aspect of breast cancer genesis and progression. We investigated the biophysical characteristics of mechanosensitive ion channels (MSCs) in the malignant MCF-7 breast cancer cell line. MSCs turned out to be the most abundant ion channel species and could be activated by negative pressure at the outer side of the cell membrane in a saturable manner. Assessing single channel conductance (GΛ) for different monovalent cations revealed an increase in the succession: Li(+) < Na(+) < K(+) ≈Rb(+) ≈ Cs(+). Divalent cations permeated also with the order: Ca(2+) < Ba(2+). Comparison of biophysical properties enabled us to identify MSCs in MCF-7 as ion channels formed by the Piezo1 protein. Using patch clamp technique no functional MSCs were observed in the benign MCF-10A mammary epithelial cell line. Blocking of MSCs by GsMTx-4 resulted in decreased motility of MCF-7, but not of MCF-10A cells, underscoring a possible role of Piezo1 in invasion and metastatic propagation. The role of Piezo1 in biology and progression of breast cancer is further substantiated by markedly reduced overall survival in patients with increased Piezo1 mRNA levels in the primary tumor.
Mechanical interaction between cells - specifically distortion of tensional homeostasis-emerged as an important aspect of breast cancer genesis and progression. We investigated the biophysical characteristics of mechanosensitive ion channels (MSCs) in the malignant MCF-7 breast cancer cell line. MSCs turned out to be the most abundant ion channel species and could be activated by negative pressure at the outer side of the cell membrane in a saturable manner. Assessing single channel conductance (GΛ) for different monovalent cations revealed an increase in the succession: Li(+) < Na(+) < K(+) ≈Rb(+) ≈ Cs(+). Divalent cations permeated also with the order: Ca(2+) < Ba(2+). Comparison of biophysical properties enabled us to identify MSCs in MCF-7 as ion channels formed by the Piezo1 protein. Using patch clamp technique no functional MSCs were observed in the benign MCF-10A mammary epithelial cell line. Blocking of MSCs by GsMTx-4 resulted in decreased motility of MCF-7, but not of MCF-10A cells, underscoring a possible role of Piezo1 in invasion and metastatic propagation. The role of Piezo1 in biology and progression of breast cancer is further substantiated by markedly reduced overall survival in patients with increased Piezo1 mRNA levels in the primary tumor.
The single cell, as elementary building block of an organ, steadily encounters physical forces
such as hydrostatic pressure, shear, compression and tension. Via force-dependent activation of
signaling cascades, cells dynamically adapt and respond to mechanical cues by modifying their
behavior and remodeling of the microenvironment123. Together with hormonal and
growth cues, force shapes cellular architecture of the mammary gland at all stages of development
and function456. The balance between forces and cellular reactions is pivotal to
maintain adult tissue homeostasis and, as a consequence, distortion or loss of this equilibrium
leads to pathology, including cancer78. Several molecular entities that perceive
and integrate forces (mechanoreceptors) have evolved in mammalian cells, amongst them various
transmembrane ion channel proteins910. The transient receptor potential (Trp) ion
channel family is represented by dozens of genes within the human genome and their members are
generally activated by environmental stimuli such as temperature, pH, osmolarity, pheromones and
taste compounds11. In addition, ion channels formed by particular Trp subunits have
also been identified to act as mechanosensitive ion channels (MSCs)1112. Other
promising candidates for mechanotransduction in mammals comprise TMC and Piezo proteins, which
represent two recently discovered mechanically gated ion channel families1314. The
role of ion channels as molecular actors contributing to virtually all hallmarks of cancer cells is
still emerging15. Given the importance of mechanosensation for development and tissue
homeostasis of normal mammary gland, its role in cancerogenesis and subsequent metastasation, we
have studied MSCs within the plasma membrane of the malignant humanMCF-7 breast cancer cell line.
Permeation properties of ion channel proteins, i.e. single channel conductance and selectivity for
certain kinds of ions, represent highly specific features that can be used to identify peculiar
types of ion channels and even to distinguish between orthologs of subtypes from different species
(see e.g.: http://www.guidetopharmacology.org/). In order to identify the molecular architecture of
MSCs in MCF-7 cells, we characterized and compared this biophysical fingerprint to the recently
discovered MSC protein Piezo1. In order to investigate the contribution of Trp ion channel subunits,
we have engineered a cell line, based on MCF-7 wild type (MCF-7WT) that permanently
overexpresses a dominant negative TrpC subunit (MCF-7TrpC_k.o) und studied whether
the density of MSCs is affected by knockout of functional TrpC channels. The benign humanMCF-10A
mammary epithelial cell (MEC) line was studied in order to investigate whether the existence of MSCs
is a peculiar feature of malign MECs. As Ca2+ permeable MSCs have been shown to play
an important role in cell motility and migration16, we investigated whether block by
the tarantula toxin GsMTx-4 influenced motility of the two MEC lines studied. Finally we have
analyzed whether expression levels for the mRNA encoding the MSC of MCF-7 cells in primary tumors
has an influence on prognosis for patients suffering from breast cancer.
Methods
Solutions (mmole/L):
Zeroing Bathing Solution (ZBS). K+/Asp−(120), KCl (20),
MgCl2 (4), NaCl (10), EGTA−/K+ (10), HEPES−
(10), buffered with K+ to pH:7.4. Pipette Filling Solution (PFS): KCl (153),
MgCl2 (4), CaCl2 (1), GdCl3 (0.2), HEPES− (10)
buffered with K+ to pH:7.4. PFS/Li as
PFS, but K+ was replaced by the appropriate cation or a mixture of K+
and Na+ at a 1:1 ratio. PFS/Ca
CaCl2 (or BaCl2; 100), MgCl2 (4), CaCl2 (1),
GdCl3 (0.02), HEPES− (10) buffered with K+ to pH:7.4.
Lyophilized GsMTx-4 was obtained from Alomone Labs (Cat.#: STG-100, Jerusalem, Israel) and
reconstituted at a concentration of 90 μmole/L. Aliquots were shock frozen in liquid N2
and stored at −30°C until use. All reagents used were of reagent grade unless stated otherwise.
Cell culture
MCF-7, MCF-10A and HEK-293 cells were cultured as described1718. Medium was
changed every 2–3 days. Confluent cells were detached split 1:10 and transferred to fresh culture
flasks.
Molecular Biology
RNA isolation and cDNA synthesis was performed as described17. Six ng cDNA were
subjected to PCR for gene quantification (QuantiFast SYBER Green PCR kit, Qiagen GmbH) using Light
Cycler 480 system (40 Cycles; Roche Diagnostics). The following primers (designed with Primer3
(http://primer3.ut.ee/.)) were used: Piezo1 (NCBI
Reference Sequence, NM_001142864.2): forward: 5′-CATCTTGGTGGTCTCCTCTGTCT-3′; reverse:
5′-CTGGCATCCACATCCCTCTCATC-3′. GAPDH: forward: 5′-ATGGGGAAGGTGAAGGTCG-3′; reverse:
5′-GGGGTCATTCATGGCAACAATA-3′. Relative mRNA expression levels of Piezo1 gene compared to the
housekeeping gene (GAPDH) were calculated using method19. HEK-293 cells were transfected with the biscistronic
pIRES2 plasmid containing humanPiezo1 and an enhanced variant of the green fluorescence protein
(eGFP) using the TransfastTM reagent (Promega) and MCF-10A cells with
LipofectamineTM 2000 (InVitrogen) according to the manufacturers' suggestions.
Transfected HEK-293 cells were used within 24 to 48 h and MCF-10A within 24 h after transfection.
The MCF-7TrpC_k.o. cell line, stably expressing a dominant negative TrpC
construct20, was generated by adding Geneticin (G418; an aminoglycoside antibiotic
that blocks translation; LifeTech Company; Order No.: 11811-031; 3 mg/mL) 72 h after
TransfastTM transfection. Successful expression was monitored by fluorescence of the
chimeric k.o subunit that was fused to a yellow variant of the green fluorescence protein (eYFP).
The cells were kept in culture for 14 days, prior to selecting stable clones. G418 was removed 48 h
before experimentation was started.
Electrophysiology
Cells were seeded on coverslips 24 to 72 h before electrophysiological experiments were started
(Coverslips for HEK-293 cells were coated with polylysine) and kept in the incubator. No longer than
20 minutes before actual recording was started, coverslips were transferred to a custom-made bathing
chamber that was mounted to the stage of an inverted microscope (IM35, Zeiss, Germany). Cells were
washed and superfused with ZBS. Patch clamp pipettes were pulled from borosilicate glass
capillaries (outer diameter: 1.6 mm, inner diameter: 1.0 mm; final resistance was 1–2.5 MΩ), coated
with Sylgard (Sylgard 184, Dow Corning), fire-polished with a custom-made micro forge and filled
with the appropriate PFS. After successful establishment of a Gigaseal, single channel currents were
recorded at constant potential using an Axopatch-200B or Axopatch-1D amplifier (Molecular Devices,
USA). Single MSC channels were activated by applying negative pressure to the interior of the patch
clamp pipette (0–200 mbar). Negative pressure was exerted via a 1 mL disposable syringe that was
attached to the pipette holder and also used for establishing the Gigaseal. The amount of negative
pressure in the pipettes interior was measured via a semiconductor based pressure sensor implemented
into a self-built electronic device (ASDXRRX005PDAA5; Honeywell, Golden Valley, MN, U.S.A.). Current
traces were low pass filtered at 2 kHz and digitized at 20 kHz using the Digidata 1322A interface
(Molecular Devices, USA) using the Clampex 9.2 software (Molecular Devices, USA). Traces were
digitally low pass filtered at 1500 Hz and analyzed using the Clampfit 10.3 software (Molecular
Devices, USA). Single channel conductances (GΛ) were assessed by linear regression of
current amplitudes in the range V to V (both
in the outward and the inward direction). The activation of single MSC channels was assessed by
fitting the average current flowing through the open channels at a given time interval ( (pA.ms−1; nC)),
normalized to the maximum (f; fractional activation), as a function of negative
pressure (n.p. (mbar)) at the extracellular side, to equation (1): Where
EP50 represents the n.p. required for half maximal activation of MSCs and b the
slope of the sigmoidal function at EP50. In our initial observations of MSCs in the
MCF-7WT cell line, PFS without addition of Gd3+ ions was used
in the patch clamp pipette. Addition of Gd3+ at 20 μmole/L, a concentration known to
block most MSCs based on subunits of the Trp channel family21, did not produce
detectable effects on MSCs in MCF-7 cells (supplementary Figure 1) and was used
subsequently.
Cell observer and motility
Cells were split and seeded to 24 well plates at densities of
1*10 cells/well (MCF-7) and
2.5*10 cells/well (MCF-10A), approx. 24 h before observation by
the cell observer (Axiovert200M, Zeiss, Germany). GsMTx-4 was added to the appropriate wells
immediately before frame acquisition was started. Frames were acquired every 20 minutes for a total
time interval of 72 h. Individual cells were tracked using the ImageJ software (v1.47; Wayne
Rasband, NIH, http://imageJ.NIH.gov/) using the
manual tracking plugin. Cell coordinates were recorded and analyzed using Microsoft Excel 2010 and
routines written in Visual Basic for Applications (version 7.0). The 2D motility coefficient (MC
(µm2.min−1)) was calculated from the slope
(D2/Δt) of the linear regression of the squared distance
(D) as a function of time interval Δt (Δt
= 10 h) according to equation (2) as described22:
Statistical analysis and bioinformatics
Statistical analysis was performed using SigmaPlot/SigmaStat (version 12.5, Systat Software,
USA). Experimental parameters were first tested for normal distribution. Subsequently, tests for
statistical significance were performed (One Way ANOVA or Kruskal-Wallis test), followed by the
appropriate pairwise multiple comparison procedures. The overall survival curves based on Piezo1
(Fam38A; affymetrix ID: 202771_at) mRNA expression was calculated by the “KMPlotter” tool using the
“autoselect best cutoff” function (http://kmplot.com/analysis/;23) using the breast cancer database (version
2014; N = 1115).
Results
Upon application of mechanical stress, functional MSCs were detected in 54% of cell attached
membrane patches derived from MCF-7 cells (Figure 1A, Table
1). The next frequently observed ion channel within the plasma membrane of MCF-7 cells was a
constitutively active, highly K+ selective, inward rectifying ion channel with an
inward single channel conductance of approx. 70pS in PFS (supplementary Figure
2). Since this ion channel, in comparison to MSCs, was observed in only 9 out of 96 patches in
MCF-7WT cells (≈9%) and other species of ion channels were observed only once, we
conclude that MSCs represent a major ion channel population of the malignant MCF-7 breast cancer
cell line. MSC activity depended on the strength of negative pressure (n.p.) applied in a saturable
manner. Half maximal n.p. for activation (EP50; Figure 1b, Table 2) in MCF-7 cells was similar to EP50 values observed for Piezo1,
a recently discovered MSC subunit, overexpressed in HEK-293 cells1324. Single MSC
conductance (GΛ) was measured for cation flux across the plasma membrane from the
extracellular compartment inside the cytosol and in the opposite direction. At the same absolute
value of pipette potential (Vp) applied, IΛ was greater in the inward than in
the outward direction (Figure 2). The GΛ observed for inward
currents carried predominantly by K+ ions was 25.6 pS (Table
3). This value is close to that reported for murinePiezo1 (mPiezo1) overexpressed in
HEK-293 cells13. Although both EP50 and GΛ values,
respectively, are indicative that Piezo1 protein may be the component of MSCs in MCF-7 cells,
members of other ion channel families have also be considered as possible candidates for MSCs
formation in mammalian cells10. Moreover, GΛ of mPiezo1 has been reported
to be variable, since it is blocked by divalent cations, such as Mg2+,
Ca2+ and Zn2+ and hence the close similarity in GΛ's
observed may be misleading25. In order to gather additional biophysical
distinguishing marks that may allow the identification of the molecular nature of MSCs in MCF-7
cells we assessed GΛ for different monovalent and divalent cations under standardized
conditions (Figure 3). GΛ was significantly reduced when
Li+ or Na+ were used as permeant monovalent cations with the
succession
Li+Rb+~Cs+.
Also divalent cations permeated considerably, but at significantly reduced GΛ's, when
compared to K+ under the experimental conditions used. GΛ was also
significantly smaller for Ca2+ compared to Ba2+ (see Figure 3c for GΛ's for different cations). In summary, both distinct and
significant differences in GΛ, the rate of ion permeation across an open MSC, were
observed. Ion selectivity of MSCs (measured by the quotient of permeability coefficients () of the respective ion (), normalized to the permeability
coefficient for K+ ()), was calculated from the observed reversal potential of single channel currents
(ΙΛ's; supplementary Table 1). The ratio (0.40 ± 0.04; N = 4) was significantly lower for
Ca2+ when compared to K+, but Ca2+ permeation was still
substantially as indicated by GΛ. Ion permeability ratios were close to 1 for the other
cations tested (Supplementary Figure 2). The specific differences in
GΛ's observed for different cations led us to overexpress hPiezo1 in HEK-293 cells and to
characterize the resulting MSCs. q-PCR analysis revealed that mRNA encoding Piezo1 was overexpressed
>100 fold in transiently transfected cells, when compared to HEK-293WT (Figure 4e). Accordingly, MSCs that were not observed in HEK-293WT
cells were frequently recorded from transfected HEK-293hP1 ones (Figure 4a&b; Table 1). Next, GΛ 's of the resulting
MSCs at chosen ion compositions were characterized (Figure 4c&d). Single
channel conductance was significantly smaller (p<0.001) when Li+ was used as
charge carrier. Ca2+ alike MSCs recorded from MCF-7WT, permeated also.
GΛ's assessed for Li+, K+, Ca2+ and
Na+:K+ (at a molar ratio of 1:1) were indistinguishable from those of
MSCs recorded from MCF-7 cells (Figure 4d). The peculiar GΛ's for
different cations observed by us strongly suggest that MSCs in MCF-7 are composed of Piezo1 protein.
In order to generate additional data that would allow MSC identification, we have engineered a MCF-7
based cell line overexpressing a dominant negative TrpC subunit (MCF-7TrpC_k.o).
Overexpression of the ion permeation deficient subunit is expected to eliminate currents through
channels formed by TrpC proteins that are known homo- or heteromerization partners of TrpC1, TrpC3,
TrpC4, TrpC6 and TrpC720. Provided involvement of TrpC subunits in MSC formation, a
significant reduction in the number of functional ion channels is expected in the
MCF-7TrpC_k.o cell line. After all, the frequency of occurrence of functional MSCs in
both cell lines was similar, suggesting that TrpC subunits are not involved (Table
1).
Figure 1
Mechanosensitive ion channels in the MCF-7 cell line.
(1a).: Original registration derived in the cell attached configuration (shown schematically at
top). Mechanical stress was induced by applying negative pressure (n.p.) inside the pipette
(indicated by arrows). (1b).: Open probability (in % of maximum activation) as a function of
negative pressure applied (N = 18).
Table 1
Frequency of occurrence of MSCs in the cell lines used
Total number of patches
Number of patches with MSCs
% of patches with MSCs
MCF-7WT
291
157
54%
MCF-7TrpC_k.o*
39
22
56%
HEK-293WT
16
0
0%
HEK-293hP1
60
44
73%
MCF-10AWT
30
0
0%
MCF-10AhP1
45
28
62%
*: stably expressing cell line.
Table 2
Activation of MSCs by negative pressure in the different breast cancer cell
lines studied
EP50 ± SEM (mm Hg)
b ± SEM(mm Hg−1)
N
MCF-7WT
40.8 ± 1.1
9.1 ± 1.0
18
MCF-10AhP1
38.7 ± 1.1
5.9 ± 1.1
4
Figure 2
Single channel conductance properties of MSC in the MCF-7 cell line.
(2a).: Original registrations recorded at different potentials during mechanical stress
(configuration shown schematically at top). K+ ions (153 mmole/L) were carrying the
inward single channel currents at negative potentials. (2b).: I/V relation for the single channel
currents shown in (2a).
Table 3
Single channel properties of MSCs in the MCF-7WT cell line
(PFS)
Mean ± SEM
N
Erev (mV)
7.3 ± 1.2
8
GΛ (pS); inward
25.6 ± 0.4
8
GΛ (pS); outward
20.6 ± 2.1
8
Figure 3
Ion selectivity profile of MSC in MCF-7 cell line.
(3a).: Original registrations of single channel inward currents recorded in the cell attached
configuration at three different potentials during mechanical stress. Different ions were used as
charge carriers for the inward currents (153 mmole/L were used in case of monovalent cations and
100 mmole/L in case of divalent cations). (3b).: Average I/V relations for single IΛ
inward currents carried by different cations (N = 6–10). Symbols denote mean values ± SEM, line
denotes linear regression through the data. (3c).: Ion selectivity profile of inward single channel
conductance carried by different mono- and divalent cations. Number of individual experiments is
shown at the top of each bar in parenthesis. Mean values ± SEM are shown.
Figure 4
Single channel conductance properties of hPiezo1 expressed in the HEK cell line.
(4a).: Original registration from untransfected HEK-293 cell (configuration shown schematically
at top). (4b).: same as 4a, but cell was transfected with biscistronic pIRES2 containing hPiezo1 and
eGFP as inserts. (4c).: Average I/V relations for single IΛ inward currents carried by
153 mmole/L K+ (grey circles) and 100 mmole/L Ca2+ (grey triangles).
White symbols denote IΛ's recorded from MCF-7 cells, lines represent a linear regression
through the data (N = 5–8). (4d).: Ion selectivity profile of inward single channel conductance
carried by different mono- and divalent cations and by Na+::K+ at a
1:1 ratio. Number of individual experiments is shown at the top of each bar in parenthesis. Mean
values ± SEM is shown. (4e).: Quantitative RT-PCR assessing the fold increase in the number of
hPiezo1 mRNA transcripts upon transient transfection of HEK-293 cells with the pIRES2 construct
(data were derived from 3 individual transfection experiments). Mean values ± SEM are shown.
MCF-7 cells have been cultivated from invasive ductal carcinoma and exert the luminal gene
cluster subtype signature26. Subsequently we investigated whether non-cancerous
breast cells do also possess functional MSCs at the surface. Accordingly, the MCF-10A line, derived
from human fibrocystic mammary tissue and representing an immortal non neoplastic MEC line27 was used as a model for normal mammary gland cells. Under the experimental conditions
used we could not detect functional MSCs in MCF-10A cells (Figure 5a; Table 1). In addition, q-PCR revealed that mRNA encoding Piezo1 is substantially
reduced in MCF-10A compared to MCF-7 cells, but not entirely absent (Figure
5d, right). When cDNA encoding humanPiezo1 was overexpressed transiently in MCF-10A cells,
endogenous Piezo1 mRNA levels increased >10 fold (Figure 5D, left).
Consequently MSCs with single channel conductance indistinguishable from those obtained from HEK-293
cells were observed (Figure 5c; supplementary Figure 3).
The results indicate that MCF-10A cells are able to express MSCs formed by Piezo1 protein, but
endogenous expression is not sufficient to form functional channels.
Figure 5
Single channel conductance properties of hPiezo1 expressed in the MCF-10A cell line.
(5a).: Original registration from untransfected MCF-10A cell (configuration shown schematically
at top). (5b).: same as 5A, but cell was transfected with biscistronic pIRES2 containing hPiezo1 and
eGFP as inserts. (5c).: Average I/V relation for single IΛ inward currents carried by
153 mmole/L K+. Line represents a linear regression through the data (N = 5), dotted
line represents average IΛ recorded from HEK-293 cells under identical conditions. (5d).:
left: Quantitative RT-PCR assessing the relative amount of hPiezo1 mRNA transcripts of
MCF-10AWT cells compared to MCF-7WT. Mean values ± SEM are shown (N =
3). Right: the fold increase in the number of hPiezo1 mRNA transcripts upon transient transfection
of MCF-10A with the pIRES2 construct. Mean values ± SEM are shown (N = 3).
Migration, motility and invasion represent essential hallmarks of cancer cells, important for
malignancy and metastasation28. Moreover, Ca2+ permeable MSCs have
been shown to be pivotal for cell motility and migration16. Subsequently we
investigated whether MSCs formed by Piezo1 may regulate these cellular properties. Motility and
velocity of MCF-7WT cells were studied in the absence and in the presence of GsMTx-4
(Figure 6a&b), a peptide toxin from Chilean rose tarantula venom, known to
block functional Piezo1 channels29. Both cellular velocity and motility of
MCF-7WT cells were reduced by the presence of GsMTx-4 (Figure
6c&d). In contrast to MCF-7, GsMTx-4 did not affect velocity or motility of
MCF-10AWT cells (supplementary Figure 4). This finding further
supports a role of Piezo1 in motility of the cancerousMCF-7 cell line. The observations derived
from models of benign and malign MECs prompted us to investigate whether overexpression of mRNA
encoding Piezo1 in the primary tumor may be related to clinical outcome in breast cancerpatients. A
dataset generated from GEO and comprising overall survival data for 1115 patients was used (dataset
version 2014)23. Overall survival times of breast cancerpatients with low mRNA
expression for Piezo1 in the primary tumor turned out to be significantly longer when compared to
patients with high expression levels (Figure 7). This finding is of strong
support that high levels of Piezo1 in the tumor have causal and profound impact on disease
progression.
Figure 6
Effect of GsMTx-4 on migration and velocity of MCF-7 cells.
(6a).: left: Migration trajectories of five single MCF-7WT cells over the entire
observation interval of 72h. Right: Squared distance as a function of time for the five cells shown
to the left. (6b).: similar to 6a but in the presence of 300 nmole/L GsMTx-4. (6c).: statistical
analysis of motility coefficients. Black line in box marks median, upper and lower borders of box
mark 25th and 75th percentiles, whiskers mark 10th and 90th percentiles, respectively; black crosses
mark individual single cell velocities below and above the 10th and 90th percentiles. Grey line
marks mean value. Number of individual cells studied is shown in parenthesis above each box. The
dataset was checked for statistical significant differences using ANOVA based on ranks. (6d).:
similar to 6c but cellular velocities are shown.
Figure 7
Overall survival of breast cancer patients with low and high expression of Piezo1 mRNA in the
primary tumor.
Kaplan–Meier plot showing overall survival of breast cancer patients with low and high expression
levels of Piezo1 mRNA. Grey line: patients with high expression of Piezo1; black line: patients with
low expression (cutoff value was 1760 tpm (transcripts per million)). Hazard ratio (HR) was 1.63
(1.26–2.09; 95% confidence interval), P < 0.000013, N = 1115).
Discussion
Here we report for the first time the existence of functional mechanosensitive ion channels in a
malignant humanMEC line. Single channel analysis revealed that Ca2+ permeation of
MSCs in the MCF-7 line is substantial. Furthermore, characteristic differences in GΛ for
Li+ and Na+, the smallest alkali metal ions tested, were found when
compared to GΛ for other alkali metal ions (K+, Rb+,
Cs+). Among monovalent and divalent cations studied, GΛ was inversely
related to the radius of the hydrated ion suggesting that these ions may pass the open pore in the
hydrated configuration. Several facts prompted us to identify Piezo1 as a component of MSCs in MCF-7
cells: (i) GΛ's were indistinguishable between MSCs from MCF-7 and MSCs formed by
overexpressed Piezo1 in HEK-293 cells. (ii) The particular ion permeation properties with respect to
GΛ's for different ions as described above were identical between MSCs from MCF-7 and
Piezo1 overexpressed in HEK-293 cells. (iii) MSCs in cell attached patches of MCF-7 cells exerted
similar mechanical sensitivity when compared to MSCs formed by overexpression of Piezo1 in
HEK-2931324 as well as in MCF-10A cells and (iv) MSCs in MCF-7 disclosed themselves
to be completely unreactive to global knockout of MSCs formed by canonical Trp subunits.When the benign MEC line MCF-10A was screened via the patch clamp method, no functional MSCs were
observed. Expression levels for mRNA encoding Piezo1 were substantially lower when compared to
MCF-7, but not negligible. In this context it is worth mentioning that the cDNA encoding humanPiezo1 has been initially cloned from wild-type HEK-293 cells24. This cell line is,
however, frequently used as a negative control, both in biochemical and electrophysiological
experiments, demonstrating that its endogenous mRNA levels are not sufficient to produce high amount
of Piezo1 protein13. Thus a low density (or even absence) of functional MSCs in the
plasma membrane despite of moderate mRNA levels is not an unusual situation. Several scenarios may
account for the absence of functional MSCs in native MCF-10A cells: (i) Endogenous mRNA encoding
Piezo1 does not produce MSCs at sufficient high numbers to allow reliable detection by the patch
clamp method. (ii) The resulting small amount of protein is not inserted into the plasma membrane.
(iii) Endogenous Piezo1 protein is directed towards protein complexes, where it cannot be activated
by simple mechanical stimulation and only heterologous Piezo1, inserted somewhere else, is
accessible to this stimulation or (iv) endogenous Piezo1 is blocked by endogenous factors that
become rate limiting upon overexpression (see e.g.: ref. 30).Several studies have addressed the effects of mechanical stress on cancerogenesis and tumor
progression in benign and malign MECs and thereupon may shed light on potential roles of increased
densities of MSCs in the plasma membrane of malignant MECs : When the effect of compressive stress
on proliferation, apoptosis, migration and cytoskeletal architecture of several MECs, including
MCF-10A and MCF-7, was studied, malign breast carcinoma cell lines, but not MCF-10A responded to
compressive stress with the development of a more aggressive phenotype. The authors of the study
concluded that non-tumorigenic MCF-10A cells are less mechanosensitive as their malign
counterparts31. Using a microlithography based approach it was found that
proliferation and invasion of several lines of malignant MECs, embedded in non-malignant tissue,
occurred preferentially in regions characterized by high endogenous mechanical stress; this
observation substantiates the role of mechanical stress in promoting the malignant phenotype32. In another study the impact of long-range mechanical interaction exerted via collagen
lines on the disorganization of ras-transformed mammary acini formed by MCF-10AT cells was
investigated. Mechanical interaction between MCF-10AT acini was shown to facilitate the transition
to the invasive phenotype whereas mechanical isolation of acini impaired it33. Taken
together, the general role of mechanical stress in etiology and progression of breast cancer as well
as the impact of mechanosignaling on growth, invasion and differentiation of peculiar MECs is well
studied34. The findings described above fit reasonable to the hypothesis that a high
density of MSCs in malignant MECs intensifies their reaction to mechanical cues, thereby promoting
malignancy. It must be stated, however, that mechanosensation by MECs is generally considered to be
based on a molecular machinery that does not necessarily entail ion channels: The molecular chain of
events comprises ligands of the extracellular matrix or from neighboring cells that bind to
integrins thereby inducing integrin clustering, formation of focal adhesion sites and subsequent
activation of focal adhesion kinase, a central intracellular effector of mechanotransduction35. Many different protein subunits (integrin-adhesome), but also elements of the
glycocalyx, have been identified to participate in and to regulate this process3637. Consequently we may ask whether MSCs formed by Piezo1 are hitherto unrecognized constituents of
this molecular machinery. Few reports foster the view that Piezo1 represents an integral part of the
former pathway since they demonstrate that Ca2+ entry through MSCs of the plasma
membrane is required to trigger integrin-dependent mechanoreception3839. In
addition, it is notable that the first biological function found for Piezo1 protein was integrin
activation by increasing intracellular Ca2+ levels: Expression of a Piezo1/GFP
chimera (that was localized predominantly to the endoplasmic reticulum) in CHO cells, triggered
integrin dependent cell adhesion while knockout of Piezo1 resulted in the opposite40.
Thus it is possible that Piezo1 may be part of and a trigger for the integrin mechanosensation
machinery. Upon overexpression of Piezo1 in malignant MCF-7 cells this machinery becomes
hyperactive. On the other hand Piezo1 ion channels may also provide a separate and parallel
pathophysiological mechanosignal transduction pathway providing malign MECs with a sensorium for
mechanical cues that acts in addition to integrin signaling. More experimentation is required to
allocate the exact location of Piezo1 in the molecular landscape of MEC mechanotransduction. Which
mechanism is operative in MCF-7 cells is currently under investigation.Albeit the Fam38A and Fam38B gene products (i.e.: Piezo1 and Piezo2) have been identified only
recently as templates for mechanosensitive ion channel proteins13, several
physiological functions have been identified so far: While Piezo2 protein is involved in
somatosensation of touch41, several roles for Piezo1 protein outside the nervous
system have been found. Piezo1 plays a role in live cell extrusion, a phenomenon that is important
to maintain homeostatic cell numbers in epithelia42, senses shear stress in vascular
endothelial cells, being important for embryonic development of the circulatory system4344 and triggers the response of urothelium to bladder extension45. Gain
of function mutations in both Piezo1 and Piezo2 protein have been identified as the basis for
different pathologies such as xerocytosis and distal arthrogryposis2446. In
addition to our findings other data suggest that Piezo1 protein is also involved in cancer: Most
intense expression of mRNAs encoding Piezo1, amongst the tissues studied, has been found in the lung
and also in lung epithelial cells, where its physiological role still remains to be shown1347. Loss of Piezo1 in normal lung epithelial cells promoted an amoeboid, reduced
integrin-dependent, mode of cell migration, that is a typical phenotype of small lung cancer cells
where Piezo1 expression was found to be greatly reduced47. In the prevailing study we
observed the opposite, i.e. that mRNA expression was low in benign MECs, but higher expression
levels led to functional MSCs within the plasma membrane of the malign MCF-7 cell line, affecting
cell migration. Similar to our results, knockdown of Piezo1 in gastric epithelium cancer cells has
been shown to reduce cell migration and the authors suggested that Piezo1 overexpression promotes
invasion and metastasation of gastric cancer48. Piezo1 was also amongst the most
profoundly upregulated genes in thyroid cancers following Iodine-131 exposure after the Chernobyl
accident49, indicating that deregulated Piezo1 expression may contribute to cancer of
several tissue types. The role of Piezo1 in progression of breast cancer is substantiated by the
significantly increased hazard ratio and corresponding shorter overall survival times of breast
cancerpatients upon high mRNA expression levels in the primary tumor reported here. This novel role
of Piezo1 in cancer biology seems to be a peculiar manifestation in breast cancer that is different
to the role of Piezo1 in lung cancer. Further research will reveal whether Piezo1 is causally
involved in cancerogenesis and progression of breast cancer, represents a potential therapeutic
target or can be used as a prognostic factor.
Author Contributions
C.L. and W.S. performed patch clamp experiments. S.R., S.K., A.G. and S.J. performed molecular
biology experiments. C.L., S.R., A.S., T.dV. and W.S. performed experiments with and analyzed data
from the cell observer. S.K., A.S., H.H., C.W. and W.S. performed data mining and biostatistics.
C.L., A.S. and W.S. prepared the figures. C.L. and W.S. wrote the main manuscript text. C.L., S.R.,
S.K., A.S., T.dV., A.G., S.J., H.H., K.G., C.W., E.M., T.B. and W.S. participated in discussions on
and planning of experiments. All authors reviewed the manuscript.
Authors: Chilman Bae; Radhakrishnan Gnanasambandam; Chris Nicolai; Frederick Sachs; Philip A Gottlieb Journal: Proc Natl Acad Sci U S A Date: 2013-03-04 Impact factor: 11.205
Authors: Eline Boghaert; Jason P Gleghorn; KangAe Lee; Nikolce Gjorevski; Derek C Radisky; Celeste M Nelson Journal: Proc Natl Acad Sci U S A Date: 2012-11-12 Impact factor: 11.205
Authors: Jing Li; Bing Hou; Sarka Tumova; Katsuhiko Muraki; Alexander Bruns; Melanie J Ludlow; Alicia Sedo; Adam J Hyman; Lynn McKeown; Richard S Young; Nadira Y Yuldasheva; Yasser Majeed; Lesley A Wilson; Baptiste Rode; Marc A Bailey; Hyejeong R Kim; Zhaojun Fu; Deborah Al Carter; Jan Bilton; Helen Imrie; Paul Ajuh; T Neil Dear; Richard M Cubbon; Mark T Kearney; Raj K Prasad; Paul C Evans; Justin Fx Ainscough; David J Beech Journal: Nature Date: 2014-08-10 Impact factor: 49.962
Authors: Michael Abend; Ruth M Pfeiffer; Christian Ruf; Maureen Hatch; Tetiana I Bogdanova; Mykola D Tronko; Armin Riecke; Julia Hartmann; Viktor Meineke; Houda Boukheris; Alice J Sigurdson; Kiyohiko Mabuchi; Alina V Brenner Journal: PLoS One Date: 2012-07-25 Impact factor: 3.240
Authors: Hojin Kang; Zhigang Hong; Ming Zhong; Jennifer Klomp; Kayla J Bayless; Dolly Mehta; Andrei V Karginov; Guochang Hu; Asrar B Malik Journal: Am J Physiol Cell Physiol Date: 2018-11-14 Impact factor: 4.249
Authors: Carlos Pardo-Pastor; Fanny Rubio-Moscardo; Marina Vogel-González; Selma A Serra; Alexandros Afthinos; Sanela Mrkonjic; Olivier Destaing; Juan F Abenza; José M Fernández-Fernández; Xavier Trepat; Corinne Albiges-Rizo; Konstantinos Konstantopoulos; Miguel A Valverde Journal: Proc Natl Acad Sci U S A Date: 2018-02-05 Impact factor: 11.205
Authors: Oleg Yarishkin; Tam T T Phuong; Jackson M Baumann; Michael L De Ieso; Felix Vazquez-Chona; Christopher N Rudzitis; Chad Sundberg; Monika Lakk; W Daniel Stamer; David Križaj Journal: J Physiol Date: 2020-12-12 Impact factor: 5.182
Authors: Amit Jairaman; Shivashankar Othy; Joseph L Dynes; Andriy V Yeromin; Angel Zavala; Milton L Greenberg; Jamison L Nourse; Jesse R Holt; Stuart M Cahalan; Francesco Marangoni; Ian Parker; Medha M Pathak; Michael D Cahalan Journal: Sci Adv Date: 2021-07-07 Impact factor: 14.136