Keywords
endometriosis; SPARC; endometriotic stromal cells; PI3K; cell signaling
1. Introduction
Endometriosis is a prevalent gynecological disorder
characterized by the aberrant proliferation of endometrial
tissue at extra-uterine locations, including the ovary, fal-
lopian tube, bladder, and even the intestinal tract. This ab-
normal proliferation of endometrial tissue gives rise to a
range of symptoms, such as menstrual irregularities, pelvic
pain, and dyspareunia (pain during sexual intercourse). En-
dometriosis also significantly increases the risk of infertility
[1]. The invasion and metastasis of endometriotic stromal
cells (ESCs) underlie the pathological development of ec-
topic endometrium. On the other hand, ESC proliferation
and death form the physiological basis for the cyclical ex-
pansion and shedding of the endometrium. Consequently,
strategies aimed at halting the growth, invasion, and metas-
tasis of ESCs represent a promising therapeutic approach
for endometriosis [2].
The gene for Secreted Protein Acidic and Rich in Cys-
teine ( SP ARC) is located on human chromosome 5q33.1
and encodes a multifunctional glycoprotein that functions
within the extracellular matrix (ECM) [ 3]. SPARC binds
ECM components to regulate cell adhesion, proliferation,
migration, and growth factor signaling, thereby playing a
key role in tissue remodeling and damage [ 4]. Mature
SPARC protein consists of three domains: the N-terminal
(NT) domain has a low-affinity calcium-binding site, the
F-spondin (FS) domain contains internal disulfide bonds
and glycosylation sites, and the extracellular (EC) domain
contains collagen-binding motifs and anti-proliferative pep-
tides that specifically inhibit endothelial cell growth [ 5].
Recent evidence has demonstrated that SPARC is differ-
entially expressed in the peritoneal and ovarian lesions of
endometriosis [ 6]. However, it is not yet known whether
SPARC can modulate the progression of endometriosis.
In this study, we systematically evaluated the impact of
SPARC on the proliferation, migration, apoptosis, and ad-
hesion of ESCs in an in vitro environment. Additionally,
we investigated the associated signaling pathways to gain a
deeper understanding of the underlying molecular mecha-
nisms.
Notably, SPARC is overexpressed in aggressive sub-
clones of gynecological malignancies, where it consistently
promotes cell proliferation, invasion, and metastasis. In
ovarian cancer, its silencing suppresses these processes
and induces apoptosis [ 4]. Similarly, high SPARC expres-
sion in cervical squamous cell carcinoma (CESC) drives
tumor progression by enhancing proliferation, migration,
and epithelial–mesenchymal transition (EMT) [ 7]. Fur-
thermore, SPARC contributes to tumor-stroma crosstalk.
For example, in endometrial cancer, it collaborates with fi-
bronectin to activate fibroblasts, thereby accelerating can-
cer cell invasion [ 8]. Collectively, SPARC plays a multi-
faceted pro-tumorigenic role across gynecological cancers.
2. Materials and Methods
2.1 Cell Culture
hEM15A cell line was obtained from American Type
Culture Collection (A TCC). We tested for mycoplasma con-
tamination and used the short tandem repeat (STR) test to
verify cell origin. Cell morphology was confirmed by a
pathologist before the experiments. Cells were cultured
in Roswell Park Memorial Institute (RPMI) 1640 medium
(Biosharp, BL303A, Hefei, AnHui, China) mixed with 10%
fetal bovine serum (FBS) (Biosharp, BL201A, Hefei, An-
hui, China), 100 U/mL penicillin, and 100 U/mL strepto-
mycin (Phygene, PH1513, Fuzhou, Fujian, China) in a hu-
midified incubator at 37 °C with 5% CO 2.
Primary ESCs were a gift from Prof. Zongfeng
Zhang, Gynecology Laboratory, Second Affiliated Hospi-
tal of Harbin Medical University. The primary cells were
validated by flow cytometry analysis with CD10 antibody
(detailed results are provided in the Supplementary Ma-
terials File ). Flow cytometry data were analyzed using a
hierarchical gating strategy. First, the cell population was
initially identified on a forward scatter area (FSC-A) versus
side scatter area (SSC-A) plot to exclude debris and non-
cellular events. Next, single cells were selected by plot-
ting FSC-A against FSC-W (or FSC-H) to exclude dou-
blets and cell aggregates. Subsequently, live cells were
gated based on the exclusion of a viability dye (e.g., DAPI-
negative or PI-negative). Finally, the target cell populations
were defined based on specific fluorescence markers, with
thresholds established using unstained and fluorescence-
minus-one (FMO) controls. Furthermore, all primary cells
tested negative for mycoplasma contamination. All cultures
(passages 3–5) were grown in Dulbecco’s Modified Ea-
gle Medium (DMEM) (Biosharp, BL301A, Hefei, Anhui,
China) supplemented with 15% FBS (Biosharp, BL201A,
Hefei, Anhui, China), 100 U/mL penicillin, and 100 U/mL
streptomycin (Phygene, PH1513, Fuzhou, Fujian, China) in
a cell incubator under standard conditions.
2.2 Transfection of Cells
The SPARC overexpression (SPARC-OE) plasmid,
featuring the complete coding sequence inserted into the
pcDNA3.1+ vector, was synthesized by FengHuiShengWu
(Changsha, Hunan, China). This construct, and the empty
vector control, were subsequently purified from glyc-
erol stocks using a mini-plasmid extraction kit (Solarbio,
D1100, Beijing, China). The SPARC-OE plasmid was
transfected into hEM15A cells and primary ESCs by Lipo-
fectamine 8000 (Beyotime, C0533, Shanghai, China). An
empty plasmid was transfected as an internal control.
Small interfering RNAs (siRNAs) were designed and
produced by Sangon Biotech (Shanghai, China) (Table 1).
Lipofectamine 8000 was used to transfect each of these siR-
NAs into the two cell lines independently, followed by incu-
bation at 37 °C for 24 h. The knockdown potency of siRNA
was assessed using quantitative reverse transcription poly-
merase chain reaction (qRT-PCR). In order to ensure their
effectiveness, all siRNAs were transfected into the cells si-
multaneously in the subsequent in vitro cell experiments.
2.3 Wound Healing Assay
The hEM15A siNC cells, hEM15A si-SPARC cells,
hEM15A V ector cells, and hEM15A SPARC-OE cells (5 ×
105 cells/well) were grown to a density of approximately
90% in 6-well plates. The same procedure was performed
for primary ESCs. A p1000 pipette tip was used to pro-
duce a single scratch in the middle of the plate. Photomicro-
graphs were captured at 0 h and 24 h using an EVOS light
microscope (ThermoFisher, Waltham, MA, USA). Cell mi-
gration fronts were subsequently quantified using ImageJ
(v1.54h, LOCI, University of Wisconsin, Madison, WI,
USA).
2.4 Migration Assay
The hEM15A siNC cells, hEM15A si-SPARC cells,
hEM15A V ector cells, or hEM15A SPARC-OE cells (7
× 10 4 cells/well) were seeded into the upper chamber of
a 24-well Transwell plate (Corning Inc., Corning, NY ,
USA) in serum-free medium. The same procedure was
used for primary ESCs. The medium in the lower cham-
ber was supplemented with 10% FBS. Following incuba-
tion for 24 h, non-migrated cells on the upper surface were
removed with a cotton swab. Migrated cells were fixed
with methanol, stained with 0.5% crystal violet (Phygene,
PH1277, Fuzhou, Fujian, China), and imaged. An EVOS
light microscope (ThermoFisher, MA) was used to take pic-
2
Table 1. si-SPARC and control sequences .
si-RNA name Sequence (5′ to 3′) Base count (nt) with 3'-TT
hSparc-209-a AAAUUCUCCUACUUCCACC 21
hSparc-209-s GGUGGAAGUAGGAGAAUUU 21
hSparc-928-a UUCUGCUUGAUGCCGAAGC 21
hSparc-928-s GCUUCGGCAUCAAGCAGAA 21
hSparc-715-a UAGUUCUUCUCGAAGUCCC 21
hSparc-715-s GGGACUUCGAGAAGAACUA 21
Negative control UUCUCCGAACGUGUCACGU 21
ACGUGACACGUUCGGAGAA 21
Positive control (GAPDH) GUAUGACAACAGCCUCAAG 21
CUUGAGGCUGUUGUCAUAC 21
GAPDH, glyceraldehyde 3-phosphate dehydrogenase.
tures at 40× magnification after drying. Stained areas were
quantified using ImageJ.
2.5 Cell Counting Kit-8 (CCK-8) Assay
The hEM15A siNC cells, hEM15A si-SPARC cells,
hEM15A V ector cells, and hEM15A SPARC-OE cells (1 ×
103 cells/well) were seeded into 96-well plates with growth
medium. The same procedure was performed for primary
ESCs. CCK-8 (Beyotime, China) (10%) was added to each
well on 24 h, 48 h, and 72 h. After 37 ℃-30 min incu-
bation in cell incubator, the 450 nm absorbance was then
measured.
2.6 Cell Adhesion Assay
A precoated 24-well plate was added by 300 μL
of PBS containing collagen I (100 μg/mL), fibronectin
(20 μg/mL), poly-L-lysine (100 μg/mL), or laminin (100
μg/mL) to each well and incubating the plate for 1 h. Sub-
sequently, 300 μL of blocking buffer (0.5% bovine serum
albumin [BSA] in medium) was added to each well. Af-
ter 60 min, hEM15A siNC cells, hEM15A si-SPARC cells,
hEM15A V ector cells, or hEM15A SPARC-OE cells (8 ×
105 cells/well) in serum-free medium were added for 90
min. Then, the culture medium was removed, and the plate
was left with the remaining cells were fixed with 100 μL
methanol for 10 min and subsequently stained with 0.5%
crystal violet (Phygene, China) for 10 min. Finally, the
plate was washed with PBS and dried at room temperature.
The same procedure was performed for the primary ESCs.
Photomicrographs were taken of each well, and the cells
were counted.
2.7 Apoptosis and Necrosis Assay
A 6-well plate was used to grow hEM15A siNC
cells, hEM15A si-SPARC cells, hEM15A V ector cells, and
hEM15A SPARC-OE cells (1 × 10 3 cells/well). Follow-
ing 24 h incubation, 1 mL of cell staining buffer, 5 μL
Hoechst 33342, and 5 μL propidium iodide (PI) (Beyotime,
C1052, Shanghai, China) were added and mixed, and the
plate was placed on ice for 30 min. The staining solu-
tion was then removed, and the cells were washed with
PBS. The same procedure was performed for the primary
ESCs. The cells were viewed under a fluorescent micro-
scope after anti-fluorescent mounting solution was added.
Hoechst 33342 stained the nuclei of all cells, while PI la-
beled cells with compromised membrane integrity. Apop-
totic cells were identified by characteristic nuclear morpho-
logical changes, including condensation and fragmentation,
as visualized under fluorescence microscopy. Representa-
tive images were selected to reflect the overall observations
across experimental groups.
2.8 qRT-PCR
RNA was extracted from both treated hEM15A cells
and primary ESCs using Trizol reagent (Life Sciences,
Shanghai, China), as recommended by the manufacturer.
The concentration of extracted RNA was measured using
a NanoDrop spectrophotometer (Thermo Fisher Scientific,
USA), then converted into cDNA using the HiScript II Q RT
SuperMix kit (V azyme, Nanjing, Jiangsu, China; R122-01).
The program was set as follows: incubation at 37 °C for 2
min, 55 °C for 15 min, and 85 °C for 5 min. The resulting
cDNA was stored at –20 °C for subsequent analysis.
The AceQ-quantitative polymerase chain reaction
(qPCR) SYBR Green Master Mix (V azyme, Q111-02) and
a LightCycler 480 II real-time PCR system (Roche, Basel,
Switzerland) were utilized for qPCR. The primer sequences
(5′ to 3′) for SPARC were TGAGGTA TCTGTGGGAGC-
TAA T (forward) and CCTTGCCGTGTTTGCAGTG (re-
verse). Pre-denaturation was performed at 95 °C for 10 min,
followed by 40 cycles of denaturation at 95 °C for 10 sec,
and annealing and extension at 60 °C for 30 sec. The ex-
pression levels of target genes were normalized to that of
glyceraldehyde 3-phosphate dehydrogenase (GAPDH) us-
ing the 2 –ΔΔCt method.
2.9 Immunohistochemistry
A total of 32 cases of paraffin-embedded tissue were
collected from patients who underwent surgery for en-
dometriosis between 01/06/2023 and 01/06/2024 in the De-
3
partment of Obstetrics and Gynecology, Second Affiliated
Hospital of Harbin Medical University. These comprised
20 cases of paired ovarian endometriosis and in situ en-
dometrium, and 12 cases of abdominal wall endometriosis.
The samples were analyzed on 05/02/2025. Prior to im-
munostaining, the slides containing tumor tissue sections
were deparaffinized, rehydrated, and then immersed in a
3% H 2O2/PBS solution for 15 min to deactivate endoge-
nous peroxidase activity. Sections were then autoclaved
in a buffered Tris-EDTA solution for two min at 121 °C
to expose the antigen. After blocking with serum for 1
h, the sections were incubated overnight at 4 ℃ with anti-
SPARC antibody (diluted 1:800, catalog number AF8043,
Beyotime, China), followed by incubation with a secondary
antibody for 1 h. Freshly prepared 3,3'-diaminobenzidine
(DAB, Maxim Biotechnologies, DAB-0031, Fuzhou, Fu-
jian, China) solution was then added to each slide. Finally,
the slides were mounted with coverslips after undergoing
hematoxylin counterstaining.
Each slide was categorized into four classes accord-
ing to the intensity of cell staining: no positive staining
(negative: 0 points), light yellow staining (weak positive: 1
point), brown/yellow staining (positive: 2 points), tan stain-
ing (strong positive: 3 points). The percentage of positive
cells was also evaluated and categorized: ≤25% (1 point),
26%–50% (2 points), 51%–75% (3 points), and >75% (4
points). The final score for each sample was calculated by
multiplying the two scores for intensity and percentage of
cell staining.
2.10 Western Blot
Cells were lysed using radioimmunoprecipitation as-
say (RIPA) solution (BioSharp, BL504, Hefei, Anhui,
China). The extracted protein was mixed with 5× loading
buffer (BioSharp, Hefei, Anhui, China), denatured by boil-
ing, and then separated via SDS-PAGE (Epizyme, China).
The protein was transferred onto a polyvinylidene fluoride
(PVDF) membrane (0.45 μm), blocked with 5% nonfat dry
milk for 1 h, and then incubated overnight at 4 °C with
primary antibodies targeting PI3 Kinase p85α (Beyotime,
China, AF7742; 1:1000), protein kinase B (AKT1/2/3)
(Beyotime, China, AF1789; 1:1000), Phospho-AKT1
(Thr308) (Beyotime, China, AF5734; 1:1000), extracellu-
lar regulated protein kinases 1 (ERK1) (Beyotime, China,
AF1315; 1:1000), Phospho-Erk1 (Thr202/Tyr204)/Erk2
(Thr185/Tyr187) (Beyotime, China, AF1891; 1:1000), and
SPARC (Beyotime, China, AF8043; 1:1000). GAPDH (zs-
bio, China, TA-08; 1:2000) served as the internal control.
The next day, the membranes were washed three times
with Tris-buffered saline with Tween 20 (TBST) (Solar-
bio, T1081, Beijing, China) and incubated with the fol-
lowing secondary antibodies for 1 h at room temperature:
horseradish peroxidase-conjugated goat anti-rabbit/mouse
IgG (H+L) (Beyotime, China, A0208/A0216; 1:1000). Af-
ter adding ECL reagent (Beyotime, China), the membranes
were visualized using a ChemiDoc imaging system (Bio-
Rad, Hercules, CA, USA). Relative protein expression lev-
els were quantified using ImageJ software based on the gray
values of the protein bands.
2.11 Analysis of SP ARC in the Turku Endometriosis
Database
The Turku Endometriosis Database [ 9] was used to
compare SPARC gene-related information between patient
and control groups using the link https://endometdb.utu.fi
/gene_analysis/. After entering SPARC, the data was ana-
lyzed and a boxplot was chosen.
2.12 Acquisition of Microarray Data Information
The Gene Expression Omnibus (GEO) database ( http
s://ncbi.nlm.nih.gov/geo/) was used to select the GSE5108
dataset based on the GPL2895 platform. This includes 22
samples from endometriosis patients, comprising 11 pairs
of ectopic and eutopic endometrium [ 10].
2.13 Identification of DEGs and GO/KEGG Enrichment
Analysis
GEO2R ( https://ncbi.nlm.nih.gov/geo/geo2r/) was
used to identify differentially expressed genes (DEGs) in
the GEO dataset. Ectopic endometrial tissues were used
as the experimental group, and eutopic endometrium as
the control group. The GEO2R online analysis tool was
used to analyze and screen out DEGs from the GSE5108
dataset. The screening criteria were p < 0.05 and |logFC|
≥1.5, with logFC ≥1.5 defined as up-regulated genes, and
logFC ≤–1.5 defined as down-regulated genes. p < 0.05
was used as the criterion for significance in both the Gene
Ontology (GO) and Kyoto Encyclopedia of Genes and
Genomes (KEGG) enrichment analyses.
2.14 Statistical Analysis
Data were analyzed using Prism software 9.4.1
(GraphPad, San Diego, CA, USA). Two-tailed unpaired
Student’s t-test was employed for comparisons between two
groups, and one-way analysis of variance (ANOV A) for
comparisons across three or more groups. To ensure ade-
quate statistical power, the sample size for each experiment
was determined based on previous studies in the field and
on our preliminary data. All quantitative data are presented
as the mean ± standard deviation (SD) from at least three
independent experiments. Differences were considered sta-
tistically significant at *p < 0.05, ** p < 0.01, *** p < 0.001
and **** p < 0.0001.
3. Results
3.1 SP ARC Expression Is Higher in Ectopic Than in
Eutopic Endometrium in the Turku Endometriosis
Database and the GEO Database
Compared to controls, endometriosis patients showed
higher levels of SPARC expression in their endometrium
4
and peritoneum. Additionally, analysis of the Turku En-
dometriosis Database revealed that the ovary and deep tis-
sues expressed higher SPARC levels than the endometrium
(Fig. 1A). According to this database, SPARC expression
differs in the endometrium, peritoneum, deep tissue, and
ovary, as well as in the various stages of endometriosis.
The expression of SPARC in the endometrium of stage I–IV
patients was higher than that of the control group. More-
over, SPARC expression in the peritoneum, deep tissues
and ovary was different at different disease stages com-
pared with the control group (Fig. 1B). SPARC was a
differentially expressed gene in the endometriosis dataset
GSE5108 from the GEO database, and showed significant
upregulation (Fig. 1C). This finding led us to hypothesize
that SPARC might play a functional role in the pathogen-
esis of endometriosis. KEGG enrichment analysis identi-
fied that SPARC expression was associated with PI3K/AKT
and mitogen-activated protein kinases (MAPK) signaling
pathways (Fig. 1D). This bioinformatic prediction directly
guided our subsequent mechanistic investigation, which
aimed to validate these specific pathways. GO biological
process enrichment analysis focused mainly on cell migra-
tion, activation, adhesion, and immunity (Fig. 1E). Conse-
quently, these GO terms framed the scope of our in vitro
functional assays, which were designed to specifically test
the effects of SPARC expression on cell proliferation, mi-
gration, and adhesion.
3.2 SP ARC Regulates ESC Proliferation and Migration
Following transfection with si-SPARC-209, si-
SPARC-928, and si-SPARC-715 for 24 h, the two cell
lines showed a significant decrease in SPARC RNA
expression, as observed by qRT-PCR. Similarly, SPARC
RNA levels were significantly increased after transfection
with SPARC-OE (Fig. 2A). Western blot results revealed
lower SPARC protein levels after interference for 24 h, and
increased levels after SPARC overexpression for 24 h (Fig.
2B). Transwell assay showed that SPARC-OE increased
the migration of hEM15A cells and primary ESCs under
starvation conditions, whereas si-SPARC attenuated the
migration of these cell lines (Fig. 2C). The wound healing
experiment revealed that cells with increased SPARC
expression exhibited improved scratch closure at 24 h,
whereas cells in the si-SPARC group displayed poorer
healing. The blue vertical line represents the fixed initial
scratch boundary and the yellow line indicates the cell
edge at 0h and 24h in Fig. 2D. The CCK-8 assay for
cell proliferation in hEM15A cells and primary ESCs
revealed that cell proliferation was greater in the SPARC
overexpression group and lower in the si-SPARC group
(Fig. 2E).
3.3 SP ARC Did Not Regulate Apoptosis and Necrosis of
ESCs and Did Not Affect Cell Adhesion to the
Extracellular Matrix
Observation of both cell lines by fluorescence mi-
croscopy showed that si-SPARC and SPARC-OE did not
alter apoptosis (as revealed by Hoechst staining) or necrosis
(as revealed by PI staining) (Fig. 3A). The effect of SPARC
on cell adhesion to ECM proteins was evaluated in both
hEM15A cells and primary ESCs. In primary ESCs, neither
SPARC-OE nor si-SPARC significantly altered cell adhe-
sion to Collagen I, fibronectin, poly-L-lysine, or laminin.
In contrast, in hEM15A cells, both SPARC-OE and si-
SPARC led to a marked reduction in adhesion specifically
to Collagen I, whereas si-SPARC increased the adhesion of
hEM15A cells to poly-L-lysine but decreased their adhe-
sion to laminin (Fig. 3B). Taken together, these results sug-
gest that SPARC does not substantially influence the adhe-
sive capacity of endometrial stromal cells. The decreased
adhesion to Collagen I observed exclusively in hEM15A
cells is likely cell line–specific and does not reflect a general
role of SPARC in regulating ECM adhesion in this context.
3.4 SP ARC Is Associated With Activation of PI3K/AKT and
MAPK/ERK in Endometriotic Stromal Cells
Western blot assay confirmed that si-SPARC de-
creased the phosphorylation of ERK and AKT in ESCs,
whereas overexpression of SPARC increased the phospho-
rylation of ERK and AKT (Fig. 4A). Immunohistochemi-
cal results showed a significantly higher staining intensity
for SPARC in endometriotic tissues (including stroma and
glands) of the ovary and abdominal wall compared with
eutopic endometrium (including stroma and glands) (Fig.
4B).
4. Discussion
Endometriosis is one of the main causes of infertil-
ity, with complicated pathophysiologic mechanisms and
unclear etiopathogenesis [ 2]. Despite its classification as
a benign condition, endometriosis exhibits striking paral-
lels to malignant neoplasms, characterized by aberrant cell
proliferation, tissue invasion, and metastatic-like dissem-
ination [ 11,12]. A widely accepted theory is that during
menstruation, viable endometrial fragments undergo retro-
grade transport via the fallopian tubes into the peritoneal
cavity [13,14]. Here, the cells implant and adhere to peri-
toneal surfaces, initiating a cascade of events that includes
angiogenic remodeling, immune evasion, and progressive
stromal infiltration, ultimately forming endometriotic le-
sions [15]. The aberrant proliferation and invasive capacity
of ESCs underlie the pathological progression of ectopic
endometrial lesions, while their regulated turnover main-
tains the endometrium’s cyclical remodeling [ 16]. The tar-
geting of ESC hyperactivity—including proliferation, inva-
sion, and immune evasion—represents a promising thera-
peutic avenue, as demonstrated by a recent study that inhib-
5
Fig. 1. SPARC expression in endometriosis in the Turku Endometriosis Database and GEO database . (A) SPARC expression in
different endometriotic sites was shown by the Turku Endometriosis Database. (B) Turku Endometriosis Database revealed the SPARC
expression in different stages of endometriosis. (C) SPARC was up-regulated in endometriosis in GSE5108. (D) The Kyoto Encyclopedia
of Genes and Genomes (KEGG) enrichment bubble plot clearly showed the involvement of signaling pathways. (E) Bubble plot of Gene
Ontology (GO) biological process analysis. SPARC, Secreted Protein Acidic and Rich in Cysteine; GEO, Gene Expression Omnibus;
ECM, extracellular matrix.
6
Fig. 2. SPARC promotes endometriotic stromal cells proliferation and migration . (A) The RNA levels of SPARC were altered by
interference and overexpression in hEM15A and primary endometriotic stromal cells (ESCs) cell lines, according to Quantitative Real-
time polymerase chain reaction. (B) Western blot results demonstrated that the protein level of SPARC was decreased and increased after
interference and overexpression for 24 h, respectively. (C) Transwell assay showed that SPARC overexpression enhanced the migration
of hEM15A cells and primary ESCs under starvation conditions, while the si-SPARC group attenuated the migration of the above two
cell lines. Scale bar = 50 μm. (D) The results of the wound healing experiment showed that the scratch healing was better when the
expression level of SPARC was increased at 24 h, while the healing of the si-SPARC group was worse at 24 h. The blue vertical line
represents the fixed initial scratch boundary and the yellow line indicates the cell edge at 0 h and 24 h. Scale bar = 50 μm. (E) Cell
Counting Kit-8 (CCK-8) time line plot of cell proliferation in both hEM15A cells and the primary ESCs: the cell proliferation ability was
the strongest in the SPARC overexpression group and the weakest in the si-SPARC group. Data are representative of three independent
experiments (n = 3). * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001, ns = not significant.
ited IDO1-mediated immune tolerance and NF-κB-driven
inflammatory signaling [ 1]. Since the current therapeutic
schedule only provides pain relief, the identification of reli-
able molecular targets and biomarkers is crucial [17,18,19].
SPARC was reported to be involved in regulating the pro-
liferation and migration of gynecologic neoplasms, includ-
7
Fig. 3. SPARC does not regulate apoptosis and necrosis of ectopic endometrial stromal cells and does not affect cell adhesion to
the extracellular matrix . (A) After staining the cells and observing them under a fluorescence microscope, the results indicated that
si-SPARC and SPARC overexpression (SPARC-OE) did not alter apoptosis (stained with Hoechst) and necrosis (stained with PI) in both
cell lines. Apoptotic cells were distinguished by Hoechst staining based on nuclear condensation and fragmentation. Scale bar = 10 μm.
(B) Cell-to-matrix adherence test showed that: in the hEM15A cells, si-SPARC and SPARC-OE altered the ability of cells to adhere to
different extracellular matrices. However, in the primary ESCs, altering SPARC expression did not significantly change cell adhesion
ability. Scale bar = 50 μm. Data are representative of three independent experiments (n = 3). * indicates p < 0.05, ** indicates p < 0.01,
ns = not significant.
ing endometrial carcinoma and ovarian cancer [ 4,20]. It
was also shown to be a differentially expressed gene in
endometriosis between peritoneal and ovarian lesions [ 6].
However, little is known about its functional significance
8
Fig. 4. SPARC is associated with activation of PI3K/AKT and MAPK/ERK in endometriotic stromal cells . (A) Western blot assay
confirmed that si-SPARC attenuated the phosphorylation of ERK and AKT, and overexpression of SPARC enhanced the phosphorylation
of ERK and AKT. (B) Immunohistochemical results showed that SPARC staining intensity was significantly higher in endometriotic
tissues (including stroma and glands) of the ovary and abdominal wall than in eutopic endometrium (including stroma and glands). Scale
bars represent 100 μm in the upper image, scale bars represent 10 μm in the enlarged views. * indicates p < 0.05, ** indicates p < 0.01,
*** indicates p < 0.001, **** indicates p < 0.0001, ns = not significant. PI3K/AKT, phosphatidylinositol 3-kinase/protein kinase B;
MAPK/ERK, mitogen-activated protein kinases/extracellular regulated protein kinases.
in endometriosis. Our study addresses this gap by eluci-
dating the functional role of SPARC and its associated sig-
naling pathways in ESCs. We found that dysregulation of
SPARC contributes to the loss of cellular homeostasis in
endometriosis.
The role of SPARC in regulating ESC adhesion to
the ECM appears to be context-dependent, with our find-
ings reflecting this complexity. As a canonical matricel-
lular protein, SPARC is known to fine-tune cell-ECM in-
teractions rather than simply promoting or inhibiting adhe-
sion [21,22]. SPARC can bind to ECM components, mod-
ulate integrin clustering and signaling, and facilitate focal
adhesion disassembly via its FS and EC domains to en-
able cell motility [ 23,24,25]. The discrepancies we ob-
served between immortalized hEM15A cells and primary
ESCs in the adhesion assays likely stem from fundamental
differences in their ECM receptor repertoire and signaling
networks. The immortalized line, with a potentially more
homogenized signaling environment, may have a greater
dependency on SPARC for modulating adhesion. Con-
sistent with this, both SPARC overexpression and knock-
down reduced hEM15A adhesion to Collagen I—a para-
doxical result that can be explained by a biphasic, optimal-
concentration-dependent model: an appropriate SPARC
level is required for normal focal adhesion dynamics, and
either excess or deficiency impairs adhesion. This context-
dependent variability highlights an important limitation in
the generalizability of our adhesion-related findings, as the
9
observed effects may not extend broadly across different
experimental systems or physiological conditions.
Our data confirm that SPARC is highly expressed
in clinical endometriotic tissues (ovarian and abdominal
wall) and is associated with activation of the PI3K/AKT
and MAPK/ERK pathways. This aligns with findings in
other diseases. For instance, Deng et al. [ 26] reported that
SPARC promotes cell proliferation, migration, invasion,
and EMT in cholangiocarcinoma via PI3K/AKT activation.
Thus, SPARC-mediated activation of core oncogenic path-
ways such as PI3K/AKT appears to be a conserved mecha-
nism that drives invasive behavior, not only in cancers but
also in the progression of endometriosis. From a trans-
lational perspective, these findings suggest that elevated
SPARC expression could potentially serve as a biomarker;
however, this remains hypothetical at this stage. Its detec-
tion might hypothetically indicate the presence of lesions
or could potentially identify patients with a higher risk of
multifocal or occult disease at other sites, but such appli-
cations would require rigorous validation in large, well-
characterized patient cohorts. Furthermore, the assessment
of SPARC levels in ectopic lesions could, in principle, in-
form prognosis and therapeutic strategy, although this pos-
sibility is speculative and awaits further investigation. This
cross-disease commonality strengthens the therapeutic ra-
tionale for targeting SPARC and its downstream signaling.
The potential utility of SPARC as a target is further high-
lighted by recent translational work. One example is the
use of a targeted nano-delivery system (BSA@Mif NPs)
designed to selectively target SPARC-overexpressing M2
macrophages in ectopic lesions. This strategy enhances
drug accumulation in endometriotic tissue and modulates
the local immune microenvironment, showing marked effi-
cacy in a mouse model [ 27]. Nonetheless, the clinical ap-
plicability of targeting SPARC remains to be established,
and any such strategies would require extensive preclinical
and clinical evaluation.
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