Keywords
Endometriosis, Ferroptosis, FZD7, Bioinformatics analysis
Endometriosis (EMS) is a chronic, inflammatory, gynecological disease characterized by the presence of
endometrioid tissue outside the uterus, which affects about 10% of women during their reproductive years 1.
Symptoms include chronic pelvic pain, dyspareunia and infertility, causing severe physical, psychological and
economic distress to women of reproductive age 2. The pathogenesis has not yet been elucidated. Sampson’s
retrograde menstruation theory is the most widely accepted hypothesis, but it cannot explain all EMS. Currently
its treatment includes drug treatment and surgery3. Drug treatment is mainly the hormone treatment, which is
not applicable to all patients, and has certain side effects. Surgical treatment still has a certain recurrence rate 4.
Therefore, it is particularly important to study its pathogenesis and discover new potential therapeutic targets.
Ferroptosis is a newly identified programmed cell death process characterized by iron-dependent
accumulation of reactive oxygen species and lipid peroxidation 5. Recently, a growing number of studies have
shown that ferroptosis also plays a considerable role in a variety of non-neoplastic diseases 6–9. In the EMS
microenvironment, there are a number of environmental factors that favor the development of ferroptosis, such
as excessive levels of reactive oxygen species and elevated levels of iron and ferritin10. However, current research
suggests that EMS confers resistance to ferroptosis. For example, ovarian EMS-associated stromal cells have a
high affinity for iron and prevent neighboring cells from iron toxicity11. Injecting the iron chelator deferoxamine
into a mouse model of EMS did not prevent lesions from forming 12. Upregulation of DMT-1 expression in the
EMS stores and utilizes excess iron, thereby preventing ferroptosis 13,14. Iron metabolism in EMS differs from
that in normal tissues. Normally, hemoglobin (Hb) binds to conjugated bead protein (Hp) and is cleared by
macrophages15, thereby diminishing the oxidative and inflammatory potential associated with hemorrhage. In
contrast, the presence of large numbers of iron-containing macrophages in the lesions of patients with EMS16,17
phagocytose Hb-Hp complexes and incorporate them into macrophage ferritin or return them to iron transport
proteins via peritoneal fluid18. Peritoneal macrophages in patients with EMS have significantly higher iron stores
than controls19. Cellular iron stores in ferritin limit the ability of iron to generate ROS, thereby conferring an
1Department of Gynecology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. 2Biomedical
Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. 3Department of
Gynecology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. 4These authors contributed
equally: Jianyun Huang and Jinbo Li. email:
[email protected];
[email protected]
OPEN
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antioxidant effect19. It may be that it is the abnormal iron metabolism capacity in endometriosis that confers
ferroptosis resistance in EMS.
Recent studies have found that IL-33-Ab combined with erastin, an ferroptosis activator, can shrink EMS
ectopic foci20, and that knockdown of FPN combined with erastin treatment induces ectopic stromal cell death
in EMS, and erastin shrinks EMS ectopic foci 21. These studies suggest that inducing ferroptosis in EMS is a
promising therapeutic approach. The mechanisms involved need to be further explored.
We therefore hypothesized the presence of ferroptosis resistance in EMS and used bioinformatics methods to
test the diagnostic value of ferroptosis-related genes in EMS and possible pathogenic mechanisms, which were
validated in specimens of ectopic lesions of EMS.
Materials and methods
Clinical samples
This study was approved by the Ethical Committee of the Sixth Affiliated Hospital of Sun Y at-sen University, and
all patients signed informed written consent before surgery. All methods were performed in accordance with
the relevant guidelines and regulations (2024ZSLYEC-239). The study recruited 12 women with EMS who were
diagnosed by laparoscopy and histological analysis at the Sixth Affiliated Hospital of Sun Y at-sen University
from September 2021 to January 2024. For the controls, normal EMS tissues were collected from 10 patients who
underwent hysteroscopy with uterine leiomyoma or endometrial polyps but without endometriosis.
Dataset collection
The original microarray datasets of GEO series GSE11691, GSE7305, GSE5108 and GSE23339, GSE25628,
GSE19834 were downloaded from National Center of Biotechnology Information-GEO (NCBI-GEO).
Ferroptosis-related genes (FRGs) list were downloaded from FerrDb webcite ( h t t p : / / w w w . z h o u n a n . o r g / f e r r d b
/ c u r r e n t / ) .
Identification of differentially expressed genes
We used R Bioconductor package limma to analyzed the differentially expressed genes (DEGs) between the
EMS groups and control groups. The adjusted P-value was 0.5 or Log2 fold-change was < -0.5. Volcano plot shows genes up-
regulated or down-regulated in EMS compared with control. Ferroptosis-related DEGs were visualized by the
Venn diagram. Heatmap shows ferroptosis-related DEGs in both groups.
Functional enrichment analysis
The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of
ferroptosis-related DEGs were performed by Metascape Bioinformatics Resources22–24.
Validation of FZD7
The expression level of FZD7 in 5 GSE is demonstrated by a bar graph. The receiver-operating characteristic
(ROC) curves and area under the curve (AUC) were used to detect the diagnostic predictive value of FZD7 in
5 GSE datasets.
Immune cell infiltration analysis
We used CIBERSORT to analyze the differences between the EMS group and control group of 22 immune cells
in the GSE11691, GSE7305, GSE5108 and GSE23339, GSE25628 dataset. Pearson correlation analysis was used
to analyze the correlation of hub gene with 22 immune cells.
Quantitative real-time PCR (RT-qPCR)
Total RNA was extracted using an RNA extraction kit (Yishan, Shanghai, China) according to the manufacturer’s
instructions. Reverse transcription of RNA (500 ng) was done using a cDNA synthesis kit according to the
manufacturer’s protocol. Subsequently, RT-qPCR was performed with cDNA as RT-qPCR template using TB
Green™ Premix Ex Taq™ II (TAKARA, Japan).
Western blot (WB)
Endometrial tissues were lysed using RIPA lysis buffer, 1% protein phosphatase inhibitor (Fude, Hangzhou,
China). Protein concentrations were assayed using BCA protein assay kit (Beyotime Biotechnology, China).
Samples were loaded into SDS-PAGE gels (Y amei, China) and then transferred onto PVDF membranes
(Millipore, USA). The membrane was blocked with 5% skimmed milk powder solution for 2 h, then incubated
with primary antibody against FZD7 (16974-1-AP , Proteintech, China) overnight at 4 °C, followed by incubation
with secondary antibody for 2 h at room temperature. Blots were observed using ECL reagent (Fude, Hangzhou,
China).
Immunofluorescence (IF)
Tissue sections were incubated with specific primary antibodies overnight at 4 °C and then incubated with
fluorescent secondary antibodies for 1 h at room temperature. Capture fluorescence images using fluorescence
Microscope (Nikon, Tokyo, Japan).
Animals
All animal experiments were carried out with the approval of the center for Animal Experiment of Sun Y at-
sen University (SYSU-IACUC-2024-003107). 6 weeks old female BALB/c mice were randomly sorted into two
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groups named vehicle group and F7H group (six mice per group). The endometriosis models were established as
described previously. The abdominal cavity of mice was subcutaneously injected with 100 µL of F7H (10 mg/kg)
every day for 14 days (MCE, Shanghai, China) in F7H group. The abdominal cavity of mice was subcutaneously
injected with 100 µL of corn oil every day for 14 days in vehicle group.
Statistical analysis
All experimental data were analyzed using SPSS 25.0 (SPSS Inc, Chicago, IL, USA) statistical software, and
quantitative data were expressed as mean ± standard deviation (mean ± SD) or median (upper quartile - lower
quartile). When normal distribution and Chi-square were satisfied, Students’ t-test was used to compare
quantitative data of two groups, and one-way ANOV A was used to compare quantitative data of three groups.
The Kruskal-Wallis test was used when normal distribution and chi-square were not satisfied. P < 0.05 was
considered statistically significant.
Results
Identification of DEGs
We first analyzed the DEGs between the EMS group and the control group in GSE11691 dataset. The results
of differential expression analysis showed that a total of 694 genes, including 442 upregulated genes and 252
downregulated genes, were identified as DEGs in GSE11691 (Fig. 1A). The heatmap showed 30 DEGs that
are considered as ferroptosis related genes (FRGs) (Fig. 1B). To identify whether the 30 FGRs differentially
expressed in the other four GSE datasets, we performed a Venn diagram analysis and found that only FZD7 was
identified (Fig. 1C-D).
Expression of FZD7 in 5 GSE datasets
The expression of FZD7 in 5 GSE datasets showed that FZD7 is significantly up-regulated in EMS (Fig. 2A, C,
E, G, I). Moreover, the receiver-operating characteristic (ROC) curve was performed to evaluate the expression
specificity of FZD7 in EMS. As expected, the area under the curve (AUC) was up to 91.4%, 100%, 98.3%, 95.6%,
95.6% in the GSE11691, GSE7305, GSE5108, GSE23339, GSE25628 datasets respectively (Fig. 2B, D, F , H, J).
The results showed the high-expression specificity of FZD7 in the EMS in the GSE11691, GSE7305, GSE5108,
GSE23339, GSE25628 datasets.
GO and KEGG pathway analysis of DEGs
We performed a positive correlation analysis for FZD7-related genes in 5 GSE datasets. Next, we performed
functional enrichment analysis of the GO and KEGG pathways for the overlapping FZD7 positively associated
genes in 5 GSE datasets. The GO analysis showed that the FZD7 positively associated genes were significantly
enriched in cell motility, muscle structure, response to external stimulus, inflammatory response, enzyme-linked
receptor protein signaling pathway. The KEGG pathway analysis showed that the FZD7 positively associated
genes were significantly enriched in leukocyte transendothelial migration, focal adhesion, cell adhesion
molecules, NF-kappa B signaling pathways and others (Fig. 3A-D).
Analysis of immune cell infiltration
A large body of previous literature suggests that immune cell infiltration accelerates the development of EMS. We
explored the infiltration of 22 immune cells in EMS of GSE11691 dataset shown in Fig. 4A, C. We also explored
the relationship between FZD7 and 22 immune cells in GSE11691 dataset shown in Fig. 4B. The relationship
between FZD7 and 22 immune cells in other datasets were shown in Supplementary Fig. 1. Transcriptomic data
of endometrial stromal cells co-cultured with macrophages showed that the expression level of FZD7 was up-
regulated in the co-culture group (Fig. 4D). The treatment of F7H which inhibit FZD7 reduced infiltration of M2
macrophages in lesions of mice with endometriosis (Fig. 4E).
Expression of FZD7 in EMS patients
We collected ectopic (Ec) endometrial tissues and eutopic (Eu) endometrial tissues from patients with
endometriosis. Their clinical characteristics are shown in Table 1. Ec endometrial tissues refer to endometrial
tissues that appear in the ovaries, abdominal wall, pelvis of patients with endometriosis, etc. Eu endometrial
tissues refer to endometrial tissue that appear in the uterine cavity of patients with endometriosis. We also
collected normal endometrial (NE) tissues which refers to the endometrial tissues in the patient’s uterine
cavity who underwent hysteroscopy with uterine leiomyoma or endometrial polyps but without endometriosis.
RT-qPCR and WB results of clinical specimens confirmed that FZD7 was significantly up-regulated in Ec
endometrial tissues compared to Eu endometrial tissues and NE tissues (Fig. 5A-C)..
Discussion
We found that FZD7 was upregulated and showed good diagnostic value in EMS using bioinformatics in all five
EMS transcriptome databases. The experiments in vitro also verified that FZD7 was upregulated in EMS. These
Results
suggested that FZD7 was explicitly enriched in EMS and may function as a potential biomarker of EMS.
Moreover, we found that FZD7 was positively correlated with M2 macrophage infiltration. M2 macrophage
was down-regulated in the lesions of mice when treated by F7H. It suggested that FZD7 may play a role in the
development of EMS through macrophages.
Ferroptosis is a newly identified programmed cell death process characterized by iron-dependent
accumulation of reactive oxygen species and lipid peroxidation, which was first proposed by Brent R.Stockwell
in 201225. FZD7, a cell membrane receptor for Wnt, is a 7-times-transmembrane protein to which Wnt binds
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to activate the Wnt/β-Catenin signaling pathway 26. Previous studies have found that FZD7 was upregulated
in platinum-tolerant ovarian cancer to promote proliferation and inhibit ferroptosis in ovarian cancer cells 27,
and FZD7-specific antibody-drug induced ovarian tumor regression in preclinical models 28. In digestive tract
tumors, FZD7 was upregulated in gastric and cholangiocarcinoma, promoted intrahepatic cholangiocarcinoma
progression, and inhibited ferroptosis in gastric cancer cells 29,30. We also found that FZD7 was upregulated in
EMS and we hypothesized that FZD7 could potentially promote the growth and invasion of EMS by inhibiting
ferroptosis in ectopic endometrial cells.
GO functional analysis showed that genes positively associated with FZD7 were enriched in pathways related
to cell adhesion, migration and invasion, which is consistent with previous findings in the literature31. Previous
literature has also pointed out that FZD7 is associated with tumor migration progression 32,33. These results
support the hypothesis that FZD7 may play a role in the progression of EMS.
Considering the importance of immune cells in the development of EMS 34,35, we analyzed the immune cell
infiltration in EMS. We found that macrophages, especially M2 macrophages, were significantly infiltrated in
EMS, which is consistent with previous studies in the literature 36. Based on this, we analyzed the correlation
between FZD7 and 22 immune cells, and the results showed a positive correlation between FZD7 and M2
macrophages. Immediately following this, we analyzed transcriptomic data of endometrial stromal cells co-
cultured with macrophages and found that FZD7 was up-regulated in the co-cultured group compared to the
Fig. 1. ( A) Identification of differentially expressed genes (DEGs) between the EMS groups and control groups
in GSE11691. (B) Heatmap of 30 differentially expressed genes (DEGs) that are considered as ferroptosis-
related genes (FRGs) in GSE11691. (C) Venn diagram of the same differentially expressed genes (DEGs)
from GSE11691, GSE7305, GSE5108, GSE23339 and GSE25628 datasets. (D) Identification of ferroptosis-
related genes (FRG) in the same differentially expressed genes (DEGs) from GSE11691, GSE7305, GSE5108,
GSE23339 and GSE25628 datasets.
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control, suggesting that macrophage infiltration may be responsible for the up-regulation of FZD7 in EMS.
Moreover, in vivo experiments found that the treatment of FZD7 reduced the infiltration of M2 macrophages
in lesions of mice with endometriosis. Previous literature identifying FZD7 as a macrophage-associated gene
also testifies to our findings 37. However, we evaluated only one aspect of the animal model, which only study
the effect of FZD7 on macrophage infiltration. In the future, we can assess whether depletion of macrophages in
an EMS model affects FZD7 expression or disease progression to evaluate the relationship between FZD7 and
macrophages.
We collected clinical tissues from 12 EMS patients and 10 controls. RT-qPCR and WB results of clinical
specimens confirmed that FZD7 was significantly up-regulated in Ec compared to Eu and NE. However, we
must recognize that there are limitations and future studies with larger cohorts are needed to further validate
the results. In Future, more experiments in vivo and in vitro are needed to further investigate the relationship
between FZD7 and immune cell inZfiltration as well as ferroptosis.
Previous studies have shown that β-Catenin stabilization confers ferroptosis resistance in hepatocellular
carcinoma38. Wnt/β-Catenin signaling pathway confers ferroptosis resistance by targeting GPX4 in gastric
cancer39. Furthermore, it has been found that transcription factor TCF-4 which is downstream in the wnt/β-
catenin pathway, regulates the expression of SLC7A11 and thus influences ferroptosis 40. These papers suggest
that FZD7 may regulate ferroptosis through the wnt/β-catenin pathway by affecting the expression of GPX4 or
SLC7A11 which are classical genes that regulate ferroptosis. Fibrosis in EMS may be associated with abnormal
Wnt/β-Catenin signaling pathway41. Many Wnt-responsive genes are important for cell proliferation, migration,
and invasion in EMS42. These results strongly suggest that FZD7 may play an important role as a Wnt receptor in
EMS and may be associated with ferroptosis resistance in EMS. Our study innovatively linked FZD7 to possible
ferroptosis resistance in EMS, providing a potential therapeutic target for the treatment of EMS. However, our
Limitation
was the lack of direct measurement of ferroptosis in tissue samples, and future studies should focus
on direct measurement of potential markers of ferroptosis (e.g., lipid peroxidation products) as well as direct
experimental validation of the effect of FZD7 on ferroptosis.
In conclusion, our study provides evidence for the potential role of FZD7 in EMS, but more research is
needed to confirm its functional significance and therapeutic potential.
Fig. 2. ( A, C, E, G, I) FZD7 is significantly up-regulated in GSE11691, GSE7305, GSE5108, GSE23339 and
GSE25628 datasets. (B, D, F, H, J) The receiver-operating characteristic (ROC) curve and the area under the
curve (AUC) curve of FZD7 in GSE11691, GSE7305, GSE5108, GSE23339 and GSE25628 datasets.
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Fig. 3. GO and KEGG pathways for the overlapping FZD7 positively associated genes in GSE11691, GSE7305,
GSE5108, GSE23339 and GSE25628 datasets.
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Fig. 4. ( A, C) The infiltration of 22 immune cells in EMS of GSE11691dataset. (B) The relationship
between FZD7 and 22 immune cells in GSE11691 dataset. (D) The expression of FZD7 in GSE19834. (E)
Immunofluorescence images staining with CD206 in Vehicle group and F7H group.
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Data availability
The original microarray datasets of GEO series GSE11691, GSE7305, GSE5108 and GSE23339, GSE25628,
GSE19834 were downloaded from National Center of Biotechnology Information-GEO (National Center for
Biotechnology Information (nih.gov)). Ferroptosis-related genes (FRGs) list were downloaded from FerrDb
webcite (http://www.zhounan.org/ferrdb/current/).
Received: 27 May 2024; Accepted: 17 February 2025
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Acknowledgements
We thank Zhouzhou, Liao and Jianyu Ma for tissue sample collection.
Author contributions
Jianyun Huang drafted the manuscript; Shuqin Chen, Hongling Guo, Jianyun Huang and Jinbo, Li contributed
in the conception and design of this study; Jianyun Huang and Jinbo, Li was in charge of data analysis; Xiao Li,
and Hongling, Guo checked the analysis and critically revised the manuscript. All authors read and approved
the final manuscript.
Funding
This study was supported by funds from the the Natural Science Foundation of Guangdong Province
(2022A151501240, 2021A1515011791) and the Sixth Affiliated Hospital of Sun Y at-Sen University Clinical Re-
search-‘1010’ Program (1010CG [2022]-13).
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Declarations
Competing interests
The authors declare no competing interests.
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