Abstract
S100A4, a metastasis promoting calcium binding protein, drives tumor progression
through pleiotropic mechanisms, yet its context dependent functions in gestational
malignancies remain elusive. To dynamically decode its role in choriocarcinoma
pathogenesis, we leveraged label free real time cell analysis (RTCA) to profile
malignant phenotypes in JAR cells following siRNA mediated S100A4
silencing, complemented by apoptosis assessment and targeted signaling profiling.
Efficient knockdown (verified by qPCR/Western blotting) significantly attenuated
cellular proliferation (96 hr cell index slope decreased vs. scramble control; p<0.01)
and suppressed migration capacity (p<0.01). Critically, S100A4 depletion did not
induce apoptosis (flow cytometry and cleaved caspase 3/9 blotting confirmed no
significant change), and invasion through Matrigel coated membranes remained
statistically unaltered despite comparable experimental rigor. Mechanistically,
S100A4 silencing triggered adaptive signaling rewiring: IRS1 and PI3K expression
were elevated, Akt1 was suppressed, while MEK1/2 remained unchanged suggesting
compensatory pathway activation.
Keywords:
S100A4;JAR cells; Cell Proliferation; Cell Migration; Real-Time Cell Analysis
(RTCA)
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1. Background
Choriocarcinoma represents one of the most clinically aggressive gestational
malignancies, distinguished by its propensity for early vascular invasion and distant
metastasis. Despite advances in chemotherapy, patients with refractory or recurrent
disease face mortality rates exceeding 30%1, underscoring an urgent need to dissect
the molecular mechanisms governing its disseminative traits. Critical among potential
drivers is the metastasis-associated calcium-binding protein S100A42, S100A4 is
upregulated in various cancers and significantly promotes cancer cell proliferation,
migration, invasion, and EMT through the regulation of multiple signaling pathways
and molecular mechanisms3–5, but remain underexplored in trophoblastic contexts. Its
dysregulation in placental pathologies6 and association with poor prognosis in
epithelial tumors7 suggest a plausible, yet unverified, function in choriocarcinoma
progression.
Current understanding of S100A4’s oncogenicity, however, relies heavily on endpoint
assays that capture static snapshots of cell behavior—such as fixed-timepoint
Transwell invasion or colony formation8—while overlooking dynamic phenotypic
adaptations. These methods cannot resolve kinetic nuances in cellular responses,
potentially masking context-dependent functional hierarchies. Moreover, the
predominance of correlative evidence from tissue studies fails to establish causal
links9 between S100A4 expression and specific malignant behaviors. This knowledge
gap is particularly consequential for choriocarcinoma, where the unique biology of
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trophoblastic cells may engender distinct regulatory dependencies compared to
carcinomas of epithelial origin10.
To address this limitation, we leveraged Real-Time Cell Analysis (RTCA)11, an
impedance-based platform enabling continuous, label-free monitoring of cellular
functions. Unlike conventional approaches, RTCA quantifies phenotypic
dynamics—from proliferation kinetics to migration velocity and barrier
penetration—at minute-scale resolution under physiologically relevant conditions12.
While S100A4's role in proliferation and migration is established, its impact on
apoptosis and downstream signaling in trophoblastic malignancies remains ambiguous.
To comprehensively dissect S100A4's oncogenic mechanisms, we integrated
apoptosis assessment (via flow cytometry and caspase-3/9 blotting) and targeted
signaling profiling (IRS1/PI3K/Akt/MEK axes) alongside RTCA phenotyping. This
multi-layered approach addresses whether S100A4 silencing triggers compensatory
pathway activation to sustain invasion despite proliferative/migratory suppression. By
integrating siRNA-mediated S100A4 silencing with multi-parametric RTCA profiling
in human choriocarcinoma JAR cells, this study aims to: (1) delineate the real-time
contribution of S100A4 to proliferation, migration, and invasion; (2) test the
hypothesis that S100A4 exhibits phenotype-selective regulation13 rather than uniform
control across malignant hallmarks. Our approach not only circumvents the artifacts
of endpoint fixation but also provides unprecedented temporal resolution for
functional stratification in trophoblastic malignancies.
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2. Materials & Methods
2.1. Cells and cell culture
JAR cells were maintained in Roswell Park Memorial Institute (RPMI)-1640 medium
(Gibco, Cat. no. 21875-042) supplemented with 10% fetal bovine serum (Gibco, Cat.
no. 10099141), under humidified conditions at 37°C with 5% CO₂. When the cells
reached 80%–90% confluence, they were digested with 0.25% trypsin-EDTA (Gibco,
Cat. no. 25200056) and passaged at a split ratio of 1:2 to maintain them in the
logarithmic growth phase for subsequent experiments.
2.2. Small interference RNA (siRNA) treatment
Cells were seeded into six-well plates in complete medium for 24 h prior to
transfection. Transfection was carried out with Lipofectamine 6000 reagent (Beyotime,
Cat. no. C0526) following the manufacturer’s protocol. Cells were transfected with
20 μM control siRNA or target siRNA oligos (Ribo, Cat. no. SIGS0007750-1).
Transfected cells were cultured in complete medium at 37°C for 48 h.
2.3. Real-time cell analysis (RTCA)
RTCA is a novel label-free analytical technique capable of non-invasively monitoring
cellular behaviors, including proliferation, migration, invasion, etc. In this study, we
used the xCELLigence DP RTCA instrument from Agilent Technologies to perform
relevant experiment.
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2.3.1 Proliferation assay
Cells were digested with trypsin for 2 min after transfection, resuspended in complete
medium, counted, and adjusted to a concentration of 6×10⁴ cells/mL. 50 μL medium
was added to each well of the E-16 culture plate (Agilent, Cat. no.300601010) to
acquire background signals. After 30 minutes of incubation in a cell culture incubator,
baseline calibration of the plate was performed using the RTCA software.
Subsequently, 100 μL of the cell suspension was added to each well to seed the cells,
and cell proliferation was monitored until the experiment concluded.
2.3.2 Migration assay
Cell migration was evaluated by RTCA method on a CIM plate (Agilent, Cat.
no.05665817001). Briefly, 165 μL of complete medium was added to the lower
chamber. After assembling the upper and lower chambers, 30 μL of serum-free
medium was added to the upper chamber. The plate was equilibrated at 37°C with 5%
CO₂ for 1 hour, followed by baseline measurement. Then, 100 μL of serum-free cell
suspension containing 40,000 cells was added to the upper chamber per well. After
allowing the plate to settle at room temperature for 30 minutes, real-time impedance
measurements were performed.
2.3.3 Invasion assay
To ensure uniform coating of Matrigel (Corning, Cat no. 354234) in CIM plates,
centrifuge tubes and the upper chamber of the CIM-Plate were pre-cooled at 4 ° C
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overnight. Matrigel was thawed at 4 ° C overnight. Matrigel was diluted with
serum-free medium at a ratio of 1:60 on ice. To each well of the upper chamber, 50 μL
of the diluted Matrigel was added, followed by removal of 30 μL. The plate was then
incubated at 37 ° C for 4 hours until Matrigel solidified. The remaining procedures
were identical to those of the cell migration assay.
2.4. Western blot analysis
According to the kit instructions, total protein was extracted from cells with RIPA
buffer (Beyotime, cat no. P0013C), and its concentration was determined by the BCA
assay (Beyotime, cat no. P0012S). Equal amounts of protein were separated by 10%
SDS- PAGE (Sagon, cat. no. C651101), transferred onto a PVDF membrane
(Beyotime, cat. no. FFP24), blocked with TBST containing 5% skim milk at room
temperature for 1 hour (Beyotime, cat. no. P0233), and subsequently incubated
overnight at 4°C with primary antibodies against Caspase-3 (1:1000; Beyotime, cat
no. AF1213), Caspase-9 (1:1000; Beyotime, cat no. AF1264), Tublin (1:1000;
Beyotime, cat no. A T819),IRS1 (1:500; Beyotime, cat no. AF7299), PI3-K (1:1000;
Beyotime, cat no. AF1966), Akt1 (1:1000; Beyotime, cat no. AF0045), MEK1/2
(1:1000; Beyotime, cat no. AF1057), GAPDH (1:1000; Beyotime, cat no. AF5009),
S100A4(1:1000; Beyotime, cat no. AF5291), and β-Actin (1:1000; Beyotime, cat no.
AF2811). After three washes with TBST, the membrane was incubated with
horseradish peroxidase (HRP)-conjugated secondary antibody at room temperature for
1 hour: HRP-labeled Goat Anti-Mouse IgG (1:1000; Beyotime, cat no. A0216) and
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HRP-labeled Goat Anti-Rabbit IgG (1:1000; Beyotime, cat no. A0208). Protein bands
were visualized using an ECL reagent (Beyotime, cat. no. P0018AS), and band
intensities were normalized to an internal reference protein for standardization.
2.5. RT-qPCR analysis
Total RNA was isolated with TRIzol (Tiangen, cat. no. DP419), then
reverse-transcribed into cDNA employing the PrimeScript RT Kit (Tiangen, cat. no.
KR116-01) and miRNA-specific stem-loop primers targeting specific miRNAs to
enhance specificity. RT-qPCR assays were conducted using SYBR Premix Ex Taq
(Tiangen, cat. no. RK145) and the corresponding primers, with normalization to U6
small nuclear RNA. Relative gene expression levels were determined by the 2−ΔΔ
Ct method.
2.6. Flow Cytometry Analysis
JAR cells were measured for apoptosis levels using the Annexin V-FITC/PI Apoptosis
Detection Kit (Yeasen, cat. no. 40302). Two days after transfection of HTR8 cells, the
cells were collected by treatment with EDTA-free trypsin(Sagon Biotech, cat. no.
E607003), washed with Pre-cooled PBS and treated according to the kit's instructions.
Briefly, 1-5×105 cells were suspended in 100 μL of binding buffer and put in a
centrifuge tube, 5 μL Annexin V-FITC and 10 μL PI Staining Solution was added, and
then incubated in the dark for 10 minutes. Subsequently, 400 μL of binding buffer was
added to the tubes and assayed by flow cytometry. Data were processed using FlowJo
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v10.6.2 software (Treestar, Ashland, OR, USA).
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3. Result
First, we aimed to downregulate the mRNA expression of S100A4 in JAR cells using
siRNA technology. To this end, JAR cells were transfected with S100A4-specific
siRNA sequences and indicated as siS100A4/JAR cells, whereas JAR cells transfected
with a scrambled siRNA sequence (serving as a negative control) were appointed as
Ctrl/JAR cells. RT-qPCR analysis confirmed a significant reduction in S100A4
mRNA expression in the transfected JAR cells. Western blotting was subsequently
performed to evaluate the protein expression of S100A4 in these cells (Fig. 1a).
Following siRNA-mediated silencing, the expression of S100A4 protein was
markedly decreased (Fig. 1b).
Fig. 1. S100A4 expression is decreased in siS100A4 -transfected JAR cells. (a) RT-qPCR analysis
of S100A4 expression in siCtrl and siS100A4/ JAR cells. β-actin was used for normalization (b)
Western blot analysis of S100A4 expression in siCtrl and siS100A4/ JAR cells. β-actin is used as a
loading control.
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Real-time cell analysis (RTCA) is a novel technique that employs real-time cellular
monitoring to detect the proliferation, migration, and invasion of cells during cell
culture. It enables uninterrupted, label-free, and real-time analysis of cells throughout
the experimental process. Currently, RTCA is widely applied by researchers
worldwide across many diverse research fields. We evaluated the proliferation
dynamics of S100A4-knockdown JAR cells using xCELLigence RTCA. Cell index
profiles showed that S100A4-siRNA-transfected JAR cells exhibited decreased
proliferation capacities (Fig. 2).
Fig. 2. Knockdown of S100A4 inhibited cell proliferation in JAR cell line. Real time cell analysis
showing that knockdown of S100A4 inhibited cell proliferation of JAR cells.
Cell migration, a fundamental property of cells, occurs in numerous physiological and
pathological processes, wherein migrating cells play a critical role in tissue
morphogenesis during development, post-developmental tissue repair, and the support
of tumor invasion and metastasis14. Similarly, to evaluate the effect of S100A4
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knockdown on the migration and invasion capacities of JAR cells, we transfected JAR
cells with siRNA-S100A4. Following transfection, both siS100A4-transfected JAR
cells and control cells (scrambled siRNA-transfected) were seeded into CIM-Plates.
The migration and invasion dynamics of these cells were then monitored in real-time
using the RTCA system. The results showed that compared with the control group,
knockdown of S100A4 reduced the migration ability of JAR cells (Fig.3), but did not
reduce their invasion ability (Experimental results of the liposome reagent control
group and the knockdown of S100A4 experimental group were similar, Fig.4).
Fig. 3 Real time cell analysis showing that knockdown of S100A4 inhibited cell migration of JAR
cells
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Fig. 4 Real time cell analysis showing that knockdown of S100A4 did not reduce their invasion
ability in JAR cells.
And then , the effect of S100A4 knockdown on apoptosis in JAR cells was
investigated by flow cytometry and western blot, as shown in Figure 5. Both western
blot (Fig. 5a) and flow cytometry(Fig. 5b) results demonstrated that S100A4
knockdown had no significant effect on apoptosis in JAR cells.
Fig. 5 The apoptosis status of JAR cells following S100A4 knockdown. (a) Western blot analysis
of apoptosis markers (caspase-3, caspase-9); (b) Flow cytometry analysis of Annexin V/PI
staining. Both assays showing no significant effect of S100A4 knockdown on apoptosis.
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Studies have demonstrated that S100A4 silencing promotes corneal burn wound
healing through inhibition of the PI3K/Akt/mTOR pathway15. Additionally, S100A4
has been shown to be regulated by the PI3K/Akt signaling pathway in cancer16. The
potential involvement of S100A4 in the altered biological behaviors of JAR cells
might be associated with the PI3K/AKT signaling pathway. Therefore, we performed
Western blot analysis to assess the expression status of key proteins in this pathway.
Results
showed that after knocking down the expression of S100A4 in JAR cells,
IRS1 and PI3K protein expression was upregulated, whereas Akt1 expression was
downregulated (Fig 6).
Fig. 6 The expression of key proteins in the PI3K/AKT signaling pathway following S100A4
knockdown in JAR cells.
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4. Discussion
This study suggests that S100A4 may exert phenotype-selective regulatory effects in
choriocarcinoma. siRNA-mediated S100A4 knockdown significantly suppressed
cellular proliferation and migration , but exhibited minimal impact on Matrigel
invasion. Notably, both the lipofectamine control group and S100A4-knockdown
group showed comparable invasion capacity, yet both were lower than the untreated
cell control—indicating potential non-specific suppression from transfection reagents.
This relative stability of the invasive phenotype contrasts with the canonical paradigm
of S100A4 as a universal metastasis coordinator in epithelial cancers17. Notably,
siRNA-mediated S100A4 knockdown did not induce significant apoptosis in JAR
cells, as evidenced by concordant flow cytometry (Annexin V/PI staining) and
Western blot data (unchanged cleaved caspase-3/9 levels).
The invasion resilience may relate to trophoblast-specific developmental programs.
Physiological extravillous trophoblast invasion relies on mechanical deformation
through vascular endothelia rather than protease-dependent matrix degradation18. The
preserved transmigration capacity of knockdown cells through 8- μ m pores
(simulating endothelial fenestrations) supports the existence of S100A4-bypass
mechanisms in choriocarcinoma.Notably, S100A4, as a calcium-binding protein,
directly interacts with non-myosin IIA (NMIIA) to regulate cellular motility and
invasiveness19. However, the loss of S100A4 may be compensated through other
mechanisms, such as maintaining cytoskeletal remodeling and cellular migratory
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capacity via the high expression of MYH9 and ITGB1. This compensatory
mechanism may involve cytoskeletal reorganization and activation of signaling
pathways, thereby sustaining normal cellular functions and adaptive responses.
Therapeutically, while targeting S100A4 effectively controls proliferation and
migration phenotypes, its limited efficacy against invasion necessitates combinatorial
approaches. In the context of choriocarcinoma, the inhibition of mechanotransduction
pathways has shown promise in overcoming drug resistance and enhancing
therapeutic efficacy. For example, the inhibition of brain-derived neurotrophic
factor/tyrosine kinase B signaling suppresses choriocarcinoma cell growth, indicating
the potential of targeting signaling pathways in this cancer type20. Additionally,
metformin has been shown to regulate autophagy via LGMN to inhibit
choriocarcinoma, further supporting the role of metabolic and mechanotransduction
pathways in cancer therapy21. Mechanistically, S100A4 silencing triggered
paradoxical signaling adaptations: IRS1 and PI3K expression increased, while Akt1
decreased and MEK1/2 remained unchanged (Fig. 6).
Limitations
include: (1) Molecular evidence for compensatory pathways needs in vivo
validation; (2) Clinical correlation between S100A4 expression and invasive
phenotypes remains unestablished. Collectively, our data reveal a phenotype-signaling
hierarchy: S100A4 silencing primarily disrupts proliferative/migratory programs via
Akt1 suppression, while compensatory IRS1/PI3K elevation and MEK pathway
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stability preserve invasion. This functional decoupling underscores the need for
combinatorial targeting (e.g., S100A4 inhibition + PI3K/mTOR blockade) to fully
suppress choriocarcinoma dissemination.
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