Abstract
Environmental exposure to endocrine-disrupting chemicals (EDCs) is linked to the development of uterine fibroids (UFs) in women. UFs, non-cancerous tumors, are thought to originate from abnormal myometrial stem cells (MMSCs). Defective DNA repair capacity may contribute to the emergence of mutations that promote tumor growth. The multifunctional cytokine TGFβ1 is associated with UF progression and DNA damage repair pathways. To investigate the impact of EDC exposure on TGFβ1 and nucleotide excision repair (NER) pathways, we isolated MMSCs from 5-month-old Eker rats exposed neonatally to diethylstilbestrol (DES), an EDC, or to vehicle (VEH). EDC-MMSCs exhibited overactivated TGFβ1 signaling and reduced mRNA and protein levels of NER pathway components compared to VEH-MMSCs. EDC-MMSCs also demonstrated impaired NER capacity. Exposing VEH-MMSCs to TGFβ1 decreased NER capacity while inhibiting TGFβ signaling in EDC-MMSCs restored it. RNA-seq analysis and further validation revealed decreased expression of Uvrag, a tumor suppressor gene involved in DNA damage recognition, in VEH-MMSCs treated with TGFβ1, but increased expression in EDC-MMSCs after TGFβ signaling inhibition. Overall, we demonstrated that the overactivation of the TGFβ pathway links early life exposure to EDCs with impaired NER capacity, which would lead to increased genetic instability, arise of mutations, and fibroid tumorigenesis. We demonstrated that the overactivation of the TGFβ pathway links early life exposure to EDCs with impaired NER capacity, which would lead to increased fibroid incidence.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00018-023-04928-z.
Keywords: Uterine leiomyoma risk, Environmental exposure, DNA damage, Developmental reprogramming, Transforming growth factor superfamily
Introduction
The incidence of uterine fibroids (UFs) is extremely common among women of reproductive age. Although non-cancerous, these tumors are associated with significant morbidity, including prolonged or heavy menstrual bleeding, pelvic pain, and in some cases, they can be related to pregnancy loss and infertility [1]. Although the last few years have shown emergence of different treatment alternatives, UFs continue to be the most common cause of hysterectomy, which in turn increases these women’s risk for several medical complications [2].
Risk factors for the development of these tumors include race/ethnicity, age, parity, and Vitamin D deficiency [1]. Notably, endocrine-disrupting chemicals (EDCs), both natural and anthropogenic, are capable of disrupting the endocrine system, and may contribute to some of the most prevalent female reproductive disorders [3, 4]. In this sense, environmental EDCs exposure is considered an important risk factor for UF pathogenesis [5, 6]. Moreover, epidemiological studies have confirmed the correlation between early life exposure to EDCs and increased risk for early UF diagnosis [7–10]. However, to understand how the exposure to EDCs during critical uterine developmental period could increase the incidence of UFs is yet unclear and necessary to appeal to animal experimentation, and the best-characterized animal model for this is the Eker rat. These animals carry a defect in the Tsc2 tumor suppressor gene and female Eker rats develop UFs spontaneously with a high frequency during their adulthood [11]. Cook et al. [12] showed that early life exposure to diethylstilbestrol (DES) during the development of the uterus increased Tcs2 penetrance, tumor multiplicity, and size, demonstrating that developmental exposure to EDCs can permanently reprogram tissue responses. Even though DES is not currently in use, it is an effective tool to study the effects induced by this EDC since many environmental xenoestrogens such as dibutyl phthalate (DBP) have a similar impact on reproductive health [13].
Several studies support the argument that UFs originate from transformed myometrial stem cells (MMSCs) [14–16]. DNA damage response and repair processes maintain the integrity of genomic DNA, and failures in these mechanisms may be the cause behind the transformation of a normal MMSC to a tumor-initiating cell [17, 18]. In this regard, EDCs can cause DNA damage upon exposure [19, 20]. Previous observations from our group have indicated that the expression of DNA repair-related genes/proteins is reprogrammed by early life EDCs exposure in MMSCs isolated from adult Eker rats [21, 22]. Nucleotide excision repair (NER) is a highly conserved DNA repair pathway, capable of removing structurally bulky DNA helix distortion lesions from the genome, generated by chemicals or UV radiation [23, 24]. To date, there is limited available information regarding the potential inference of the NER pathway on the physiopathology of UF. A single report done in southern Chinese women has linked a higher susceptibility to UF with a single nucleotide polymorphism in XPG gene (rs873601 G > A), a crucial protein involved in NER repair processes [25].
Transforming growth factor β (TGFβ) is a secreted cytokine that exists in mammals in three isoforms (TGFβ1, TGFβ2, and TGFβ3). TGFβ controls a plethora of processes, such as apoptosis, angiogenesis, and tumor biology [26], and is considered one of the key factors in the pathophysiology of UFs [27]. Several studies have suggested a connection between TGFβ signaling and DNA damage response [28, 29]. Previous analyses reported a link between TGFβ1 pathway and steroid hormone signaling [30, 31] or EDCs treatment [32, 33].
This work aimed to elucidate the role of both TGFβ1 and the NER, as well as their link to the tumorigenesis process on MMSCs, the cell origin of UFs, in the best-characterized animal model of UFs for gene-environment interaction.
Material and methods
Animal model and myometrial stem cell isolation and culture
Female Eker rats from an on-site colony (Long Evans; TSC-2Ek/+) received subcutaneous injections of 10 µg of the endocrine-disrupting chemical (EDC) diethylstilbestrol (DES, D4628, Sigma, St. Louis, MO, USA) per rat per day or 50 µl of sesame seed oil (vehicle, VEH, S3547, Sigma, St. Louis, MO, USA) on 10, 11, and 12 postnatal days, a sensitive period for uterine developmental programming, as previously described [12]. Animals were euthanized at 5 months of age and subjected to myometrial Stro1+/CD44+ stem cell isolation, according to a previously described protocol [34]. Briefly, uterine tissues from Eker rat exposed to VEH (N = 5, pooled) or EDC (N = 5, pooled) were collected, washed to remove residual blood, and the endometrial and serosal tissues were removed by scraping with a sterile scalpel. Myometrial tissues were digested into single-cell suspensions, which were subjected to selection for Stro1/CD44 double-positivity by magnetic beads (mouse anti-Stro1, MAB1038, R&D Systems and mouse anti-CD44, #555478, BD Biosciences, respectively) to isolate Stro1+/CD44+ MMSCs. Then, isolated VEH- and EDC-MMSCs were plated in coated flasks (Attachment factor #S006100, Thermo Fisher Scientific, Waltham, MA) and cultured separately in Smooth Muscle Growth Medium-2 BulletKit (complete SmGm media) (CC-3182, Lonza, Walkersville, MD) under hypoxic conditions (37 °C, 5% CO2, 2% O2). Confluent VEH- and EDC-MMSCs were washed with PBS, trypsinized (TrypLE Express Enzyme, 12604021, Thermo Fisher Scientific, Waltham, MA), and centrifuged at 500×g for 5 min. Supernatants were aspirated, and pellets were stored at − 80 °C until further use. Protocols involving the use of these animals were approved by the Institutional Animal Care & Use Committee (IACUC), Baylor College of Medicine (protocol # AN-7189).
RNA isolation, cDNA synthesis, and quantitative real-time PCR
Total cellular RNA was isolated from frozen MMSCs pellets using TRIzol Reagent (#15596026, Invitrogen, Waltham, MA, USA) following manufacturer instructions. RNA reverse transcription to complementary DNA (cDNA) was performed using Ecodry premix double-primed (#639549, Takara Bio, San Jose, CA, USA). Quantitative real-time PCR (qPCR) was carried out using SsoAdvanced Universal SYBR Green Supermix (Bio-Rad, Hercules, CA, USA) in a 20-μL final reaction volume. Primer sequences are listed in Table 1. Primers were purchased from Integrated DNA Technologies (IDT, Coralville, IA, USA) excluding Ltbp1, Tgfb1, Smad3, and Uvrag primers (Product IDs: RQP050189, RQP050181, RQP090103, RQP083172, respectively) that were purchased from Genecopoeia (Rockville, MD, USA). Real-time PCR analyses were performed using the Bio-Rad CFX96 detection system (Bio-Rad, Hercules, CA, USA). A melting-curve analysis affirmed the synthesis of a DNA product of the predicted size. The expression data were normalized using 18S ribosomal RNA values, and these relative normalized values were used to generate data graphs. A reaction without a cDNA template was used as a negative control.
Table 1.
Symbol/alias | Gene | Forward primer sequence (5′–3′) | Reverse primer sequence (5′–3′) |
---|---|---|---|
Thbs1 | Thrombospondin 1 | TCGGGGCAGGAAGACTATGA | ACTGGGCAGGGTTGTAATGG |
Smad2 | Mothers against decapentaplegic homolog 2 | GGGAAGTGTTTGCCGAGTG | AGCCTGGTGGGATTTTGC |
Xpa | DNA damage recognition and repair factor | CAGACACCAGAGCCACTTTAC | GCAGACACCCATACACAATGA |
Xpb, Ercc3 | Xeroderma pigmentosum complementation group B, ERCC excision repair 3, TFIIH core complex helicase subunit | GGGTACTCAGAGCCAAGAAAG | GAATCTCTGTCGCTTGGTAGAA |
Xpc | Xeroderma pigmentosum complementation group C | CACCTCCATCAGCACATACAA | ACAGCTTCTCCACGACAATAC |
Xpf, Ercc4 | Xeroderma pigmentosum complementation group F, ERCC excision repair 4, endonuclease catalytic subunit | TAAGCTCACACTCCTCACCT | CCAGGGTTATACCTGTCTGA |
Xpd, Ercc2 | Xeroderma pigmentosum complementation group D, ERCC excision repair 2, TFIIH core complex helicase | TTACTACAGCGCAGAGCCAG | ACCCCAAACATTTCACCCACT |
Ddb1 | DNA damage-binding protein 1 | CACGGTTCCTCTCTATGAATCTC | TAGTGCCTCCACTGGTATCT |
Ddb2 | DNA damage-binding protein 2 | TGGTGGTTACAGGAGACAATATG | GCCACATGGGCTACTTTCT |
18S | 18S ribosomal RNA | CACGGACAGGATTGACAGATT | GAGTCTCGTTCGTTATCGGAATTA |
Protein expression analysis by western blot
VEH- and EDC-MMSCs pellets were lysed in RIPA buffer (#89900, Thermo Fisher Scientific, Waltham, MA) containing 1% of protease and phosphatase Inhibitor Cocktail (#78440, Thermo Fisher Scientific, Waltham, MA), vortexed, sonicated, and centrifuged for 10 min at 12,000 RPM at 4 °C. Three experimental replicates per group were run. Samples equivalent to 25 µg of protein were separated using 4–20% Mini-PROTEAN TGX Precast Protein Gels (#4561096, Bio-Rad, Hercules, CA) and transferred to Trans-Blot Turbo Midi 0.2 µm PVDF membranes (#1704157, Bio-Rad, Hercules, CA) according to standard procedures. Membranes were blocked for 1 h at RT in either 5% w/v nonfat dry milk or 5% BSA in 0.1% Tween-supplemented PBS (0.1% PBS-T) per antibody specification. Membranes were then incubated with primary antibodies overnight at 4 °C in either 1% w/v nonfat dry milk or 1% BSA in 0.1% PBS-T per antibody specification. Following is the information regarding the primary antibodies used, their source, and working dilutions: rabbit anti-LTBP1 (ab78294, Abcam; 1:1000), rabbit anti-THBS1 (MA5-13398, Invitrogen; 1:1000), rabbit anti-TGFβ 1 (MA5-15065, Invitrogen; 1:1000), rabbit anti-p-SMAD2 (Ser465/467) (#3108, Cell Signaling; 1:1000), rabbit anti-SMAD2 (#5339, Cell Signaling; 1:1000), rabbit anti-XPA (PA5-86265, Invitrogen; 1:1000), mouse anti-XPB (#8746, Cell Signaling; 1:1000), mouse anti-XPC (sc-74410, Santa Cruz; 1:1000), rabbit anti-XPD (#11963, Cell Signaling; 1:1000), rabbit anti-XPG (PA5-76039, Invitrogen; 1:1000), rabbit anti-XPF (#13465, Cell Signaling; 1:1000), rabbit anti-DDB1 (#5428, Cell Signaling; 1:1000), mouse anti-DDB2 (sc-81246, Santa Cruz; 1:1000). Mouse anti-β-actin (A5441, Sigma, 1:10000) protein levels were assessed by re-probing the blots. Membranes were washed in 0.1% PBS-T and then incubated with anti-rabbit (#7074, Cell Signaling; 1:5000) or anti-mouse (#7076, Cell Signaling; 1:5000) horseradish peroxidase-labeled antibodies. The antigen–antibody complex was detected with Trident femto Western HRP Substrate kit (GTX14698, GeneTex, Irvine, CA, USA) and images of immunoreactive bands were acquired using ChemiDoc XRS+ molecular imager (Bio-Rad, Hercules, CA, USA). Bands were analyzed using Image J software [35]. The relative protein level was normalized to β-actin and results were expressed as relative optical density.
Measurement of TGFβ1 levels in MMSCs culture supernatants
VEH- and EDC-MMSCs were cultured until confluence in previously stated conditions. Then, cells were washed thoroughly using PBS, and media were replenished with complete SmGm media without fetal bovine serum. MMSCs culture supernatant (CS) samples were collected after 6 h and frozen in aliquots at − 80 °C. TGFβ1 levels were detected in CS using a solid phase ELISA kit (DB100C, R&D Systems, Minneapolis, MN, USA) according to the manufacturer’s protocol.
Immunofluorescence
VEH- and EDC-MMSCs were seeded onto coated-glass coverslips and culture under the conditions stated above. Confluent cells were then fixed with 4% paraformaldehyde for 15 min, followed by permeabilization with 0.1% Triton X-100 in PBS for 15 min at room temperature. Non-specific binding was blocked with 2% BSA in PBS for 1 h at room temperature. Primary antibody targeting TGFβ1 (MA5-15065, Invitrogen, 1:100 in 0.1% BSA-PBS) and TGFβ Receptor I (PA-95863, Invitrogen, 1:100 in 0.1% BSA-PBS) were applied and incubated overnight at 4 °C. The cells were then washed with PBS three times for 5 min and incubated with Alexa Fluor™ 568-conjugated α-Rabbit secondary antibody (A11011, Invitrogen, 1:2000 in 0.1% BSA-PBS) for 1 h at room temperature. Finally, the coverslips were mounted onto glass slides using mounting medium containing DAPI for nuclear counterstaining (H-1200, VECTASHIELD). Digital image files were created with an Olympus VS200 Research Slide Scanner (Olympus/Evident, Center Valley, PA) with a Hamamatsu ORca-Fusion camera (Hamamatsu Photonics, Skokie, IL). Individual images were created with the OlyVIA Viewer software (Olympus/Evident, Center Valley, PA). Negative controls without primary antibody were included to validate the staining specificity.
Immunohistochemistry
Myometrial tissue samples from 5-month-old Eker rat exposed neonatally to VEH or EDC were fixed in 10% buffered formalin for 15–20 h and embedded with paraffin. Paraffin blocks were sliced into 5‐μM thick sections, deparaffinized with xylene, and rehydrated by being passed through decreasing concentrations of ethanol in water. Then, antigen retrieval and quenching of endogenous peroxidases were performed. The primary antibodies used to detect XPA and XPC were rabbit anti-XPA (PA5-86265, Invitrogen; 1:250) and mouse anti-XPC (sc-74410, Santa Cruz; 1:200), respectively. Samples were scanned and visualized using Aperio Image Scope Software (v12.4.0.7018) (Leica Biosystems Imaging Inc., Deer Park, IL, USA).
MMSCs TGFβ1 and TGFβ Receptor I inhibitor treatments
Once VEH- or EDC-MMSCs reached 80% confluence, they were treated with human recombinant TGFβ1 (10 ng/ml, 7754-BH, R&D Systems,) for 48 h or with TGFβ Receptor I inhibitor (2 µM, LY-364947, L6293, Sigma, St. Louis, MO, USA) for 24 h, respectively. The vehicle used to dissolve TGFβ1 was 4 mM HCl (SA49, Thermo Fisher Scientific, Waltham, MA, USA) containing 0.1% bovine serum albumin (BSA, A3294, Sigma, St. Louis, MO, USA). Mature human TGFβ1 shares 99% amino acid identity with rat TGFβ1, and it demonstrated cross-species activity [36]. Dimethyl sulfoxide (DMSO, 472301, Sigma, St. Louis, MO, USA) was used as a VEH to dissolve the TGFβ Receptor I inhibitor (final concentration < 0.1%). VEH- and EDC-treated MMSCs were washed with PBS, trypsinized, and centrifuged at 500×g for 5 min. The supernatant was discarded, and the pellets were snap-frozen and stored at − 80 °C for RNA isolation.
Determination of UVB-induced DNA damage in genomic DNA by slot blot assay
VEH- and EDC-MMSCs pellets were collected as described above at different time points (0, 6, and 12 h) post-UVB light exposure (10 mJ/cm2), and DNA was isolated using a QIAamp DNA Mini Kit (#51304, Qiagen, Valencia, CA). The DNA concentration was calculated from the absorbance at 260 nm using NanoDrop 1000 (NanoDrop products, Wilmington, DE). The cyclobutane pyrimidine dimers (CPD) in DNA were quantified by slot blot (Bio-Rad) with CPD monoclonal (TDM-2) antibody (CAC-NM-DND-001, COSMO BIO Co., Koto-Ku, Tokyo, Japan) as described previously [37]. The chemiluminescence was detected with a Carestream Imaging Station (Carestream, Rochester, NY, USA). For examining repair kinetics, the percentage (%) of CPD repair was calculated by comparing the optical density at the indicated time to that of the corresponding absorbance at time zero when there was no opportunity for repair, and 100% of CPDs were present post-UVB. The 10 mJ/cm2 UVB dose was chosen as there was little acute, UV-induced cell death (observed under light bright microscopy) induced under these conditions, while there were sufficient levels of DNA damage to reproducibly measure its repair (doses between 10 and 30 mJ/cm2 were screened initially).
Whole-genome RNA sequencing (RNA-seq)
RNA quality and quantity were assessed using the Agilent bio-analyzer. Strand-specific RNA-SEQ libraries were prepared using a TruSEQ mRNA-SEQ library protocol (Illumina provided). Library quality and quantity were assessed using the Agilent bio-analyzer, and libraries were sequenced using an Illumina NovaSEQ6000 (Illumina provided reagents and protocols). A variety of R packages were used for this analysis. All packages used are available from the Comprehensive R Archive Network (CRAN), Bioconductor.org, or Github. The reads were mapped to the R. norwegicus reference genome Rnor 6.0 using STAR 2.7.9a. Aligned were quantified using Salmon 1.4.0, and gene annotations from Ensembl were used to summarize data from transcript level to gene level. We filtered non-protein coding genes as well as genes with less than 1 count per million in at least 3 or more samples and applied TMM normalization. To identify differentially expressed genes (DEGs), precision weights were applied to gene counts based on within-group sample-level variance and gene-level mean–variance trends using VOOM from Limma 3.52.4. The count data were fitted to a gene-wise linear model with group status as a coefficient, and an empirical Bayes method was used to estimate the posterior odds of differential expression after adjusting for gene-level posterior residual standard deviations. Significant differential genes were decided with a minimum absolute fold change of 1.5 and a false-discovery rate of 0.05. GSEA was tested using the Hallmark, CP: REACTOME, and CP: KEGG MSigDB collections.
Statistical analysis
Comparisons between groups were made by two-tailed unpaired Student’s t test using GraphPad Prism 9 (GraphPad Software, San Diego, CA). The assumption of normality was assessed by Shapiro–Wilks test. All data are presented as mean ± standard error of mean (S.E.M.). A difference between groups with *p < 0.05, **p < 0.005, ***p < 0.0005, or ****p < 0.0001 was considered statistically significant.
Results
The TGFβ1 signaling pathway is overactivated in MMSCs isolated from rats exposed to EDCs
To identify transcriptional changes in the context of early life EDCs exposure, we performed RNA-seq on MMSCs isolated from 5-month-old Eker rats exposed neonatally to VEH or to diethylstilbestrol (DES), an EDC that mimic estrogen action [38]. We found 2922 DEGs (1474 up, and 1448 down) in EDC- over VEH-MMSCs (Fig. S1 A). Among the DEGs, we found 14 genes belonging to TGFβ signaling (Fig. S1 B). In addition, pathway analysis using Hallmark compendium showed significant enrichment of the HALLMARK_TGF_BETA_SIGNALING pathway (Fig. S1 C). There is evidence that perinatal exposure to the estrogenic EDC methoxychlor reprogramed Tgfb1 gene expression in the hypothalamus of Fischer rats [39]. Moreover, Cometti et al. reported that certain environmental estrogen induced TGFβ1 levels in bovine oviduct cell culture [40], linking steroid hormone signaling with TGFβ1. Additionally, the role of TGFβ in the development of UFs is crucial [27]. Multiple studies have corroborated the involvement of distinct TGFβ isoforms in the pathophysiology of UFs [41–43]. However, further studies are required to confirm the participation of TGFβ signaling in the effects of exposure to EDCs on MMSCs, which are believed to be the origin UFs [14–16]. Therefore, to determine whether early life exposure to EDCs affected TGFβ1 pathway on Eker rat MMSCs, we first analyzed several members of this superfamily. We found that the mRNA and protein levels of latent TGFβ binding protein 1 (LTBP1), which controls TGFβ1 bioavailability by maintaining it in a latent state in the extracellular matrix [44], were increased in EDC-MMSCs compared to VEH-MMSCs (Fig. 1A). Further, we observed the same outcome for thrombospondin 1 (TSP1), a major regulator of latent TGFβ1 activation [45] (Fig. 1B). We further confirmed that TGFβ1 mRNA and protein levels are also elevated in MMSCs isolated from rats exposed to EDCs in early life (Fig. 1C, E). Moreover, as illustrated in Fig. 1D, the levels of TGFβ1 were significantly higher in the culture supernatants from EDC-MMSCs compared to the ones from VEH-MMSCs. Additionally, we confirmed the presence of TGFβ Receptor I on VEH- and EDC-MMSCs using immunofluorescence staining (Fig. 1F). Importantly, we observed that several VEH- and EDC-MMSCs that exhibit positivity for TGFβ1 and TGFβ RI were in mitotic stages (Fig. 1E, F). Interestingly, the pathway analysis of EDC- over VEH-MMSCs RNA-seq data using Hallmark compendium showed significant enrichment for pathways related to cell cycle such as HALLMARK_MITOTIC_SPLINDLE and HALLMARK_G2M_CHECKPOINT (Fig. S1 C), suggesting a potential effect of EDC exposure on the cell cycle. SMADs are the main transducers of the TGFβ superfamily signal from the cell surface to the nucleus [46]. We found that the mRNA and protein levels of SMAD2 and p-SMAD2, which is considered a marker of TGFβ signaling activation, are increased, respectively, in EDC-MMSCs compared to the control (Fig. 1G, H) while Smad3 (Fig. 1G) mRNA levels did not change. Overall, these results show that the TGFβ1 pathway is overactivated in MMSCs isolated from rats developmentally exposed to EDCs.
Early life exposure to EDCs provokes changes in MMSC NER pathway members
The analysis of EDC- and VEH-MMSC RNA-seq data demonstrated significant enrichment of the HALLMARK_UV_RESPONSE pathways along with enrichment of other pathways related to DNA damage repair such as HALLMARK_G2M_CHECPOINT (Fig. S1 C). Moreover, 6 genes involved in nucleotide excision repair (NER) pathway showed changes in their mRNA expression levels between EDC-MMSCs and VEH-MMSC (Fig. S1 D). NER is the main pathway involved in repairing bulky DNA adducts formed by environmental carcinogenic sources such as UV light exposure or chemical agents [47]. DES, the EDC used in this work as a research tool, is metabolized to reactive intermediates that covalently bind to DNA and nuclear proteins forming adducts [48]. To examine whether the factors that execute NER are regulated in MMSCs by environmental EDC exposure, we evaluate the mRNA and protein levels (Fig. 2A, B, respectively) of several core enzymes involved in different steps during the NER process. The damage sensor XPC exhibited lower mRNA and protein levels in EDC-MMSCs contrasted with VEH-MMSCs. Interestingly, when we evaluated DDB1 and DDB2 (DNA damage-binding protein 1 and 2), which also play central roles in the damage recognition process, we found that DDB1 mRNA and protein levels increased in EDC-MMSCs compared to the control. In contrast, DDB2 (also known as XPE) showed decreased mRNA levels on MMSCs isolated from EDC-exposed rats compared to controls but we did not see any differences in its protein levels. A previous study from our group have demonstrated that the mRNA levels of Xpa, which functions as a scaffold to assemble other NER core factors around the DNA damage site [49], were significantly downregulated in EDC-MMSCs compared with VEH-MMSCs [22]. In this work, we showed that the protein levels of XPA presented the same outcome (Fig. 2B). The DNA helicase XPB showed decreased mRNA and protein levels in EDC- versus VEH-MMSCs. However, we did not find any difference in the DNA helicase XPD mRNA or protein levels. XPF provides the endonuclease activity in a heterodimer complex that is essential for repairing DNA damage [50]. We observed that XPF mRNA and protein levels decreased in EDC-MMSCs in comparison with VEH-MMSCs. In conclusion, these results demonstrate that early life exposure to EDCs provokes changes in several NER pathway members in rat MMSCs, mostly, decreasing their levels.
MMSCs present self-renewal and differentiation capacities which are critical for myometrial tissue homeostasis. To evaluate whether the observed changes in NER pathway members take place also at the tissue level, we performed XPA and XPC IHC in myometrial tissues collected from adult rats (pre-fibroid) exposed neonatally to VEH or EDC (Fig. 2C). We found that the levels of both markers were lower in the myometrium of EDC-exposed rats compared to controls, suggesting that differentiated myometrial cells maintain characteristics of the parent MMSCs.
EDC-MMSCs present decreased ability to repair DNA by NER
To determine whether early life exposure to EDCs affects NER repair capability in MMSCs, we assessed the repair kinetic of cyclobutane pyrimidine dimers (CPD) after UVB exposure in VEH- and EDC-MMSCs. Cells were irradiated with 10 mJ/cm2 UVB light and the cellular morphology was monitored by phase contrast light microscopy before and 9, 12, and 24 h after the exposure. Figure 3A illustrates that EDC-MMSCs revealed more cell death than VEH-MMSCs 9 h after UVB light exposure. Although at 24 h, VEH-MMSCs also presented death-related cell debris, the levels of cell debris were markedly enhanced in EDC-MMSCS. As expected, EDC-MMSCs presented a significantly decreased ability to repair the UVB-induced CPD compared with the control group at 6 h (VEH-MMSCs: 23.7% ± 2.5 vs. EDC-MMSCs: 8.3% ± 4.7, p < 0.05) and 12 h after the UVB exposure (VEH-MMSCs: 76.3% ± 4.1 vs. EDC-MMSCs: 7.6% ± 15, p < 0.05) (Fig. 3B).
The transforming growth factor-β1 (TGFβ1) pathway regulates NER in rat MMSCs
TGFβ1 signaling has been implicated in regulating NER in human immortalized keratinocytes (HaCaT) cells (Qiang et al. [29]), but the link between these two pathways has not been evaluated in MMSC. We hypothesized that TGFβ1 pathway activation will compromise NER-dependent DNA repair in the healthy MMSC while TGFβ1 signaling inhibition will revert NER impairment in EDC-MMSC. To verify this hypothesis, we treated VEH-MMSCs with exogenous TGFβ1 and we observed that this activation suppressed CPD repair at 6 h (VEH-MMSCs: 70.6% ± 2.9 vs. VEH-MMSCs + TGFβ1: 33.3% ± 11.4, p < 0.05) and at 12 h (VEH-MMSCs: 71.3% ± 2.1 vs. VEH-MMSCs + TGFβ1: 63.1% ± 1.2, p < 0.05) after UVB light exposure (Fig. 3C). In this sense, when we inhibited TGFβ Receptor I on EDC-MMSCs we found that EDC-MMSCs recovered the capacity to repair CPD at 6 h (EDC-MMSCs: 25.9% ± 6.7 vs. EDC-MMSCs + TGFβ RI inhibitor: 53.4% ± 7, p < 0.05) (Fig. 3D). These data imply that TGFβ1 pathway is involved in regulating NER pathways in rat MMSCs.
Uvrag gene expression is affected by TGFβ1 activation and inhibition on rat MMSCs
We performed RNA-seq analysis to further investigate the effect of TGFβ1 activation and inhibition in VEH and EDC-MMCs, respectively. The principal component analysis indicated that samples clustered by group (Fig. 4A). A total of 3220 DEG were found in the comparison of EH-MMSCs treated with vehicle or TGFβ1 (Fig. 4A and Supplementary Table 1). On the other hand, we observed 1402 DEG in EDC-MMSCs treated with vehicle or TGFβ Receptor I inhibitor (Fig. 4A and Supplementary Table 2). The heatmaps confirmed that samples were separated by treatment (Fig. 4B). The volcano plots in Fig. 4C illustrate the distribution of DEG in VEH-MMSCs treated with vehicle or TGFβ1 (top) and in EDC-MMSCs treated with vehicle or TGFβ Receptor I inhibitor (bottom). Genes of interest involved in NER and TGFβ1 pathways are indicated in the volcano plots. Interestingly, we observed that Xpa and Xpc, two NER members that were downregulated in EDC- compared to VEH-MMSCs (Fig. 2), were also downregulated on VEH-MMSC after the treatment with exogenous TGFβ1 (Fig. 4C, top). In addition, the Ddb1 gene, which showed increased mRNA and protein levels in EDC- compared to VEH-MMSCs (Fig. 2), presented the same outcome in TGFβ1-treated VEH-MMSCs compared to the control (Fig. 4C, top). However, Xpf (also known as Ercc1) showed the opposite result, since its levels were decreased in EDC- compared to VEH-MMSCs (Fig. 2) but increased in VEH-MMSC after the TGFβ1 treatment (Fig. 4C, top). Regarding the effect of TGFβ Receptor I inhibitor on EDC-MMSCs transcriptome, we observed that the treatment increased the levels of Xpc gene (Fig. 4C, bottom), which, as we mentioned above, were downregulated in EDC- compared to VEH-MMSCs (Fig. 2). It is important to highlight that, as expected, the treatment of EDC-MMSCs with TGFβ Receptor I inhibitor downregulated several genes that belong to TGFβ1 signaling such as Thbs1, Ltbp1, Tgfb1, Tgfbr1, Smad6, and Smad7 (Fig. 4C, bottom). Furthermore, UV radiation resistance-associated gene (Uvrag) expression was downregulated in VEH-MMSCs after the treatment with exogenous TGFβ1 and upregulated after TGFβ Receptor I inhibition in EDC-MMSCs. Uvrag specifically interacts with DDB1, which together with DDB2, checks the whole genome for damage independently of transcriptional status [51]. We confirmed the results by qPCR (Fig. 4D), noting that Uvrag mRNA levels were decreased in EDC compared to VEH-MMSCS. Next, we analyzed the top enriched Hallmark gene sets in VEH-MMSCs treated with TGFβ1 or vehicle (Fig. 5A) and EDC-MMSCs treated with TGFβ Receptor I inhibitor or vehicle (Fig. 5B) by Gene Set Enrichment Analysis (GSEA) using Hallmark biological processes. In addition, we have tested GSEA using CP: REACTOME and CD: KEGG collections (Supplemental Fig. 2). The most significant enriched pathway in VEH-MMSCs treated with TGFβ1 in comparison with the vehicle was HALLMARK_MTORC1_SIGNALING (Fig. 5A). On the other hand, the HALLMARK_INTERFERON_GAMMA_RESPONSE pathway emerged as the most enriched, followed by the HALLMARK_INTERFERON_ALPHA_RESPONSE pathway, in EDC-MMSCs treated with the TGFβ Receptor I inhibitor compared to the vehicle (Fig. 5B). Remarkably, these pathways appeared as downregulated in VEH-MMSCs treated with TGFβ1 in contrast to the control (Fig. 5A). Additionally, the GSEA performed using the Reactome gene set collection indicated that the REACTOME_INTERFERON_ALPHA_BETA_SIGNALING pathway was among the top enriched (Supplemental Fig. 2). It is important to emphasize that several pathways related to translation stages and, consequently, the process of protein biosynthesis, have been found among the most enriched in the GSEA in both comparisons. These results were observed in the analyses performed using HALLMARK, REACTOME, or KEGG gene set compendiums (Fig. 5A and Supplemental Fig. 2). Notably, GSEA identified that HALLMARK_UV_RESPONSE_DN gene set were significantly altered in EDC-MMSCs after TGFβ Receptor I inhibitor (Fig. 5B). These results confirm the link that exists between TGFβ1 and NER pathways.
Discussion
Transforming growth factor beta (TGFβ) is a multipotent cytokine that is involved in several pathological processes in many cell types. Misregulation of TGFβ activity has been related to tumorigenesis [52], including the development of UFs [27]. Recent studies have identified a connection between EDCs and TGFβ [32, 53, 54]. Song et al. [53] showed that bisphenol S (BPS), an industrial EDC, increases the mRNA and protein levels of TGFβ in non-small cell lung cancer (NSCLC) cells, and that their upregulation mediates BPS-induced NSCLC cell migration. Interestingly, in 3D human uterine leiomyoma (ht-UtLM) spheroids, the treatment with tetrabromobisphenol A (TBBPA), a derivative of bisphenol A (BPA), were found to induce an upregulated expression of profibrotic genes and corresponding proteins associated with the TGFβ pathway [32]. In this sense, Li et al. [54] demonstrated, using transcriptomic analysis, that phenolic environmental estrogens such as BPA and nonylphenol promote uterine fibroid primary cells proliferation by regulating TGFβ signaling pathway. The previously mentioned studies focused on the direct effects of EDC exposure on TGFβ signaling, but it is likely that both direct and developmental EDC exposure may be mediated through similar pathways. In this sense, BPA exposure in pregnant rats delayed bone development and reduced bone mass in female offspring, and these results were accompanied by downregulated TGFβ signaling pathway in the bone tissue [55]. In contrast, maternal exposure to di-n-butyl phthalate (DBP), which induces renal fibrosis in adult rat offspring, is related to increased TGFβ mRNA and protein levels in the kidneys of DBP-exposed compared to unexposed 18-months old offspring [56]. In this current work, we have observed that EDC-MMSCs presented increased mRNA and protein levels of LTBP1, THBS1, and TGFβ1, and higher secreted levels of TGFβ1 compared to VEH-MMSCs, concluding that developmental EDC exposure overactivated TGFβ1 pathway. In the study by Liu et al. [32], TBBPA treatment activated TGFβ signaling through phosphorylation of TGFβR1 and downstream effectors SMAD2 and SMAD3 in a 3D ht-UtLM spheroid model. Similarly in our study, we have detected increased levels of SMAD2 phosphorylation confirming the downstream activation of TGFβ pathway, which after oligomerization with SMAD4, binds the DNA to mediate transcriptional activation or repression of target genes [57].
Besides the capacity of the EDCs to mimic the action of endogenous hormones, they have also been reported to exert genotoxic and mutagenic effects [58, 59]. The exposure to EDCs in uterus or during early life is associated with the progression of diseases later in life [60, 61]. Developmental periods present increased susceptibility to environmental stressors and these components become important risk factors for adverse health outcomes. In this sense, epidemiological studies have suggested associations between several EDCs and increased UF prevalence and severity [62–65]. In addition, experimental animal studies have shown evidence that early life exposure to EDCs, such as DES or genistein, induces anatomic abnormalities in the reproductive tract, including uterine tumors [66, 67]. It is important to highlight that environmental exposure to EDCs also can reprogram the cell epigenome, resulting in gene expression changes [6].
Several studies have demonstrated the presence of MMSCs [68, 69], which are able to self-renew while producing daughter cells that differentiate, and are susceptible to reprogramming by EDC exposure. Evidence points out that EDC or their reactive intermediates can interact with DNA altering DNA bases and leading to DNA damage [58, 70]. Among the most common DNA lesions, single- and double-strand breaks [71], oxidative damage [72] and DNA adducts formation [73, 74] have been reported. Moreover, EDC can act through epigenetic mechanisms by which DNA damage repair is altered. The incapacity to correctly repair the DNA damage provoked by these compounds can lead to mutations, and consequently, cells undergo modifications resulting in tumorigenesis. Moreover, the accepted model for the development of UFs establishes that they originate from an abnormal MMSC that acquire a driver mutation in pivotal genes such as TSC-2 in the Eker rat or MED12 in women. In particular, the Eker rat (TSC-2Ek/+), inactivation of the wild-type TSC-2 allele commonly occurs by loss of heterozygosity (LOH, caused by direct deletion, deletion due to unbalanced rearrangements, etc.). However, other mechanisms such as point mutation have also been reported [75]. Here, we showed that MMSCs isolated from Eker rats that were exposed in early life to DES, a potent EDC, presented lower nucleotide excision repair (NER) capacity compared to VEH-MMSCs. Importantly, defective NER causes the accumulation of point mutations and genomic instability [76]. Therefore, this impaired capacity to repair the DNA could lead to the loss of the wild-type TSC-2 allele in EDC-MMSCs, which would trigger the development of uterine tumors at a higher frequency in EDC-exposed Eker rats than unexposed. We found that the observed decreased NER capacity could be related to lower mRNA and protein levels of several members of this pathway, such as XPC, an indispensable factor for the initial recognition of bulky DNA damage [77]. There is evidence that demonstrates that the availability and the activity of NER factors can be regulated by environmental factors. In this sense, Notch et al. [78] described a marked reduction in the expression of genes involved in the NER pathway, including XPC, in the livers of zebrafish exposed to the xenoestrogen 17-α-ethinylestradiol (EE2). This study expanded our previous findings showing that developmental EDC exposure decreased DNA end-joining ability [22], and impaired ability to repair DNA double-strand breaks (DSBs) by homologous recombination pathway [21] in rat MMSCs.
Furthermore, we showed that increased levels of TGFβ1 affected the repair of bulky DNA damage, through modulation of nucleotide excision repair (NER). Although contradictory, several works showed a connection between TGFβ1 and DNA damage. While some authors showed that the inhibition of TGFβ pathway tends to mitigate DNA damage responses and increase genomic instability [79–81], others demonstrated a possible role of activated TGFβ signaling in reducing the expression and/or activity of some genes involved in DNA repair [29, 82, 83]. Regarding TGFβ1 and NER pathway, Qiang et al. [29] showed that the activation of the TGFβ pathway impairs UV-induced DNA repair by suppressing the transcription of XPC and DDB1. Additionally, we demonstrated that the treatment of VEH-MMSCs with exogenous TGFβ1 led to a decreased repair of DNA damage formed by ultraviolet-B radiation; a comparable response to that observed in EDC-MMSCs, which constitutively present activated endogenous TGFβ1 signaling. In accordance with this, we have shown that EDC-MMSCs treated with TGFβ RI inhibitor recover the capacity to repair the DNA damage after 6 h of UVB light exposure. Furthermore, we use RNA-seq data to identify NER-related genes that are affected by activation or inhibition of TGFβ pathway in MMSCs. In particular, we discovered that TGFβ signaling regulates the expression of genes such as UVRAG, which is essential in the NER pathway.
The Gene Set Enrichment Analysis (GSEA) indicated that HALLMARK_MTORC1_SIGNALING was the most significant enriched pathway in VEH-MMSCs treated with TGFβ1 in comparison with vehicle. Mammalian target of rapamycin (mTOR) is a serine/threonine protein kinase that regulates fundamental cell processes, from protein synthesis to cell growth [84]. Several studies have demonstrated a connection between TGFβ and mTOR signaling [85, 86]. Interestingly, there is evidence that suggests cross talk between these pathways in the regulation of the epithelial to mesenchymal transition process [87]. Importantly, HALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION pathway was also found among the top enriched pathway in VEH-MMSCs treated with TGFβ1 compared to vehicle. On the other hand, this study demonstrated that activation or inhibition of TGFβ signaling led to alterations in interferon (INF)-related pathways. IFN are cytokines involved in the induction and regulation of a variety of immune responses [88]. In this study, the treatment of EDC-MMSCs with TGF Receptor I inhibitor resulted in the upregulation of genes involved in INF γ, α, and β responses. In this sense, it has been demonstrated an antagonistic relationship between IFN and TGFβ [89, 90]. Remarkably, HALLMARK_UV_RESPONSE_DN pathway was enriched in EDC-MMSCs after TGFβ Receptor I inhibitor, confirming the existing link between TGFβ1 and NER pathways.
Our observations revealed that multiple VEH- and EDC-MMSCs displaying positivity for both TGFβ1 and TGFβ RI were in mitotic stages. Interestingly, TGFβ is a potent inhibitor of cell proliferation in a wide variety of cells. However, in transformed cells these regulatory mechanisms are often lost, leading to tumor cells becoming resistant to the growth-inhibiting properties of TGFβ [91, 92]. In line with this, a study conducted by Lee et al. revealed that uterine fibroid cells exhibited increased expression of TGFβ3 and a reduced sensitivity to the antiproliferative effects of this cytokine [42]. Significantly, previous studies from our laboratory revealed a significant increase in the percentage of EDC- compared to VEH-MMSCs measured by FACs in neonatally exposed 5-month-old rats [34]. These findings suggest that EDC exposure affects MMSCs expansion. Consequently, we can infer that the upregulation of TGFβ observed on EDC-MMSCs does not exert suppressive effects on proliferation on these cells. Furthermore, it is well known that TGFβ mediates G1 cell cycle arrest in various cell types [91]. Importantly, NER plays an important role during G1 phase to remove bulky lesions, such as those caused by genotoxic stressors [93]. It have been demonstrated that DNA repair genes are often translationally regulated during the cell cycle [94]. Specifically, genes for repair proteins involved in the initial steps of NER pathway, such as XPC, are not detected as cell cycle-regulated at the transcript level, nor are any of the other XP-genes, including XPA, XPB, XPD, DDB1 (XPE), XPF, or XPG [94]. Hence, the observed differences in gene and protein expression levels between EDC- and VEH-MMSCs on NER members are unlikely to be due to the potential effect of TGFβ on the cell cycle. Remarkably, Pal et al. demonstrated on NSCLC and osteosarcoma cell lines that although the treatment with TGFβ1 reduced the expression of DNA repair genes within 9 h, it did not induce any significant changes in the distribution of cells in G1/S/G2 within the same timeframe [82]. Additionally, Zheng et al. did not observe effect on cell cycle progression in human hepatocellular carcinoma cells exposed to TGFβ [95].
While we have identified TGFβ and NER pathways as significant contributors to the effects of EDC exposure in rat MMSCs, it is important to point out that these chemicals can also impact other signaling. Moreover, to fully understand the precise mechanism by which TGFβ signaling impairs MMSCs NER capacity, further investigations are warranted. Specifically, it remains to be determined whether this effect involves transcriptional or posttranscriptional regulation, or epigenetic modifications. In this regard, Liu et al. [96] demonstrated that BPA exposure in UF cells altered H3K27ac levels, resulting in the upregulation of the XBP1 transcription factor which in turn affected the activation of integrin subunit α2 (ITGA2)/PI3K/AKT signaling pathway, leading to increased proliferation of UF cells. Regardless, our analysis provides valuable insights into the underlying mechanisms associated with the impact of EDCs exposure on the origin of uterine fibroids. Importantly, by identifying key molecular pathways and genes involved, researchers can incorporate these factors into their experimental models, enabling more accurate and targeted investigations. Moreover, such understanding contributes to the development of better diagnostic tools, preventive measures, and therapeutic interventions in the field of reproductive biology and environmental health.
EDC exposure may be one factor driving the observed disparities in UF burden between Black and White women [97], as studies suggest that exposure to certain environmental EDC is higher in non-whites populations [98]. In this sense, a systematic review published by Ruiz et al. affirms that Black, Latinos, and low-income individuals have greater exposure rates to EDCs, such as certain phthalates, BPA, polychlorinated biphenyls, and organochlorine pesticides, than any other ethnic and sociodemographic population groups [99]. Importantly, it is essential to recognize modifiable sources of EDC exposure that bring opportunities for reduction in racial/ethnic health disparities.
In summary, our findings pinpoint a link between the overactivation of TGFβ and the impaired ability of rat MMSCs to repair DNA damage through the NER pathway, and both provoked by the developmental exposition to EDC, which have implications for uterine tumor development (Fig. 6).
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
This work was supported by National Institutes of Health grants RO1 HD094378, RO1 ES028615, and U54 MD007602. We thank The University of Chicago Genomics Facility (RRID:SCR_019196), especially Pieter W. Faber, for their assistance with Illumina RNA sequencing. This work was supported in part through the computational resources and staff expertise provided by Evan Wu and Wenjun Kang from the Center for Research Informatics at The University of Chicago. We thank The University of Chicago Human Tissue Resource Center (RRID:SCR_019199), especially Dr. Terri Li and Dr. Can Gong, for their assistance with immunohistochemistry services.
Author contributions
MVB made the major contribution to the acquisition, analysis, and interpretation of the data, and drafted the manuscript. YHC performed CPD slot blot, analyzed it, and interpreted the data. MA cultured rat MMSC, performed TGFβ1 western blot, analyzed it, and interpreted the data. TB cultured rat MMSC. SLG and CC analyzed VEH and EDC-MMSCs transcriptomic data. CLW supplied the Eker rats and performed DES exposures. QY and AAH contributed to the concept and design of the article. YYH, QY, and AAH revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.
Funding
This work was supported by National Institutes of Health grants RO1 HD094378, RO1 ES028615, and U54 MD007602.
Data availability
The datasets (Raw FASTQ files) generated during and/or analyzed during the current study are available in the NCBI Gene Expression Omnibus database with accession number GSE157503 (Supplementary Fig. 1—VEH-MMSC and EDC-MMSC) and GSE225636 (Figs. 4 and 5—VEH-MMSC, VEH-MMSC + TGFβ1, EDC-MMSC, and EDC-MMSCs + TGFβ RI inhibitor).
Declarations
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Ethics approval
All animal experiments were conducted in accordance with the policies and procedures set by the Institutional Animal Care & Use Committee (IACUC), Baylor College of Medicine (protocol # AN-7189).
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Yang Q, Ciebiera M, Bariani MV, et al. Comprehensive review of uterine fibroids: developmental origin, pathogenesis, and treatment. Endocr Rev. 2022;43:678–719. doi: 10.1210/endrev/bnab039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Cohen SL, Vitonis AF, Einarsson JI. Updated hysterectomy surveillance and factors associated with minimally invasive hysterectomy. JSLS J Soc Laparoendosc Surg. 2014;18(e2014):00096. doi: 10.4293/JSLS.2014.00096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Padmanabhan V, Song W, Puttabyatappa M. Praegnatio perturbatio—impact of endocrine-disrupting chemicals. Endocr Rev. 2021;42:295–353. doi: 10.1210/endrev/bnaa035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Crain DA, Janssen SJ, Edwards TM, et al. Female reproductive disorders: the roles of endocrine-disrupting compounds and developmental timing. Fertil Steril. 2008;90:911–940. doi: 10.1016/j.fertnstert.2008.08.067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bariani MV, Rangaswamy R, Siblini H, et al. The role of endocrine-disrupting chemicals in uterine fibroid pathogenesis. Curr Opin Endocrinol Diabetes Obes. 2020;27:380–387. doi: 10.1097/MED.0000000000000578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Yang Q, Diamond MP, Al-Hendy A. Early life adverse environmental exposures increase the risk of uterine fibroid development: role of epigenetic regulation. Front Pharmacol. 2016 doi: 10.3389/fphar.2016.00040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.D’Aloisio AA, Baird DD, DeRoo LA, Sandler DP. Association of intrauterine and early-life exposures with diagnosis of uterine leiomyomata by 35 years of age in the sister study. Environ Health Perspect. 2010;118:375–381. doi: 10.1289/ehp.0901423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Omwandho COA, Konrad L, Halis G, et al. Role of TGF- s in normal human endometrium and endometriosis. Hum Reprod. 2010;25:101–109. doi: 10.1093/humrep/dep382. [DOI] [PubMed] [Google Scholar]
- 9.D’Aloisio AA, Baird DD, DeRoo LA, Sandler DP. Early-life exposures and early-onset uterine leiomyomata in black women in the sister study. Environ Health Perspect. 2012;120:406–412. doi: 10.1289/ehp.1103620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Baird DD, Newbold R. Prenatal diethylstilbestrol (DES) exposure is associated with uterine leiomyoma development. Reprod Toxicol. 2005;20:81–84. doi: 10.1016/j.reprotox.2005.01.002. [DOI] [PubMed] [Google Scholar]
- 11.Walker CL, Hunter D, Everitt JI. Uterine leiomyoma in the Eker rat: a unique model for important diseases of women. Genes Chromosomes Cancer. 2003;38:349–356. doi: 10.1002/gcc.10281. [DOI] [PubMed] [Google Scholar]
- 12.Cook JD, Davis BJ, Cai S-L, et al. Interaction between genetic susceptibility and early-life environmental exposure determines tumor-suppressor-gene penetrance. Proc Natl Acad Sci USA. 2005;102:8644–8649. doi: 10.1073/pnas.0503218102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Hunter D, Heng K, Mann N, et al. Maternal exposure to dibutyl phthalate (DBP) or diethylstilbestrol (DES) leads to long-term changes in hypothalamic gene expression and sexual behavior. Int J Mol Sci. 2021;22:4163. doi: 10.3390/ijms22084163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Mas A, Cervelló I, Gil-Sanchis C, et al. Identification and characterization of the human leiomyoma side population as putative tumor-initiating cells. Fertil Steril. 2012;98:741–751.e6. doi: 10.1016/j.fertnstert.2012.04.044. [DOI] [PubMed] [Google Scholar]
- 15.Ono M, Maruyama T, Masuda H, et al. Side population in human uterine myometrium displays phenotypic and functional characteristics of myometrial stem cells. Proc Natl Acad Sci USA. 2007;104:18700–18705. doi: 10.1073/pnas.0704472104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Chang HL, Senaratne TN, Zhang L, et al. Uterine leiomyomas exhibit fewer stem/progenitor cell characteristics when compared with corresponding normal myometrium. Reprod Sci. 2010;17:158–167. doi: 10.1177/1933719109348924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Elkafas H, Qiwei Y, Al-Hendy A. Origin of uterine fibroids: conversion of myometrial stem cells to tumor-initiating cells. Semin Reprod Med. 2017;35:481–486. doi: 10.1055/s-0037-1607205. [DOI] [PubMed] [Google Scholar]
- 18.Mani C, Reddy PH, Palle K. DNA repair fidelity in stem cell maintenance, health, and disease. Biochim Biophys Acta Mol Basis Dis. 2020;1866:165444. doi: 10.1016/j.bbadis.2019.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Iso T, Watanabe T, Iwamoto T, et al. DNA damage caused by bisphenol A and estradiol through estrogenic activity. Biol Pharm Bull. 2006;29:206–210. doi: 10.1248/bpb.29.206. [DOI] [PubMed] [Google Scholar]
- 20.Xin F, Jiang L, Liu X, et al. Bisphenol A induces oxidative stress-associated DNA damage in INS-1 cells. Mutat Res Toxicol Environ Mutagen. 2014;769:29–33. doi: 10.1016/j.mrgentox.2014.04.019. [DOI] [PubMed] [Google Scholar]
- 21.Elkafas H, Ali M, Elmorsy E, et al. Vitamin D3 ameliorates DNA damage caused by developmental exposure to endocrine disruptors in the uterine myometrial stem cells of Eker rats. Cells. 2020;9:1459. doi: 10.3390/cells9061459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Prusinski Fernung LE, Yang Q, Sakamuro D, et al. Endocrine disruptor exposure during development increases incidence of uterine fibroids by altering DNA repair in myometrial stem cells. Biol Reprod. 2018 doi: 10.1093/biolre/ioy097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kusakabe M, Onishi Y, Tada H, et al. Mechanism and regulation of DNA damage recognition in nucleotide excision repair. Genes Environ. 2019;41:2. doi: 10.1186/s41021-019-0119-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Cleaver JE, Lam ET, Revet I. Disorders of nucleotide excision repair: the genetic and molecular basis of heterogeneity. Nat Rev Genet. 2009;10:756–768. doi: 10.1038/nrg2663. [DOI] [PubMed] [Google Scholar]
- 25.Liu Z-Q, Chen G-G, Sun R-L, 2018. XPG rs873601 G>A contributes to uterine leiomyoma susceptibility in a Southern Chinese population. Biosci Rep. [DOI] [PMC free article] [PubMed]
- 26.Prud’homme GJ. Pathobiology of transforming growth factor β in cancer, fibrosis and immunologic disease, and therapeutic considerations. Lab Investig. 2007;87:1077–1091. doi: 10.1038/labinvest.3700669. [DOI] [PubMed] [Google Scholar]
- 27.Ciebiera M, Włodarczyk M, Wrzosek M, et al. Role of transforming growth factor β in uterine fibroid biology. Int J Mol Sci. 2017;18:2435. doi: 10.3390/ijms18112435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Liu Q, Lopez K, Murnane J, et al. Misrepair in context: TGFβ regulation of DNA repair. Front Oncol. 2019 doi: 10.3389/fonc.2019.00799. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Qiang L, Shah P, Barcellos-Hoff MH, He YY. TGF-β signaling links E-cadherin loss to suppression of nucleotide excision repair. Oncogene. 2016;35:3293–3302. doi: 10.1038/onc.2015.390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Matsuda T, Yamamoto T, Muraguchi A, Saatcioglu F. Cross-talk between transforming growth factor-β and estrogen receptor signaling through Smad3. J Biol Chem. 2001;276:42908–42914. doi: 10.1074/jbc.M105316200. [DOI] [PubMed] [Google Scholar]
- 31.Kang H-Y, Lin H-K, Hu Y-C, et al. From transforming growth factor-β signaling to androgen action: identification of Smad3 as an androgen receptor coregulator in prostate cancer cells. Proc Natl Acad Sci USA. 2001;98:3018–3023. doi: 10.1073/pnas.061305498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Liu J, Yu L, Castro L, et al. Short-term tetrabromobisphenol A exposure promotes fibrosis of human uterine fibroid cells in a 3D culture system through TGF-beta signaling. FASEB J. 2022 doi: 10.1096/fj.202101262R. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Park M-A, Choi K-C. Effects of 4-nonylphenol and bisphenol A on stimulation of cell growth via disruption of the transforming growth factor-β signaling pathway in ovarian cancer models. Chem Res Toxicol. 2014;27:119–128. doi: 10.1021/tx400365z. [DOI] [PubMed] [Google Scholar]
- 34.Mas A, Stone L, O’Connor PM, et al. Developmental exposure to endocrine disruptors expands murine myometrial stem cell compartment as a prerequisite to leiomyoma tumorigenesis. Stem Cells. 2017;35:666–678. doi: 10.1002/stem.2519. [DOI] [PubMed] [Google Scholar]
- 35.Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9:671–675. doi: 10.1038/nmeth.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Derynck R, Kohei M. TGF-β and the TGF-β Family. Cold Spring Harb Monogr Arch. 2008;50:29–43. [Google Scholar]
- 37.Nichols AF. Basal transcriptional regulation of human damage-specific DNA-binding protein genes DDB1 and DDB2 by Sp1, E2F, N-myc and NF1 elements. Nucleic Acids Res. 2003;31:562–569. doi: 10.1093/nar/gkg152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Korach KS, Metzler M, McLachlan JA. Estrogenic activity in vivo and in vitro of some diethylstilbestrol metabolites and analogs. Proc Natl Acad Sci USA. 1978;75:468–471. doi: 10.1073/pnas.75.1.468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Gore AC, Walker DM, Zama AM, et al. Early life exposure to endocrine-disrupting chemicals causes lifelong molecular reprogramming of the hypothalamus and premature reproductive aging. Mol Endocrinol. 2011;25:2157–2168. doi: 10.1210/me.2011-1210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Cometti BPS, Dubey RK, Imthurn B, Rosselli M. Natural and environmental oestrogens induce TGFB1 synthesis in oviduct cells. Reproduction. 2018;155:233–244. doi: 10.1530/REP-17-0425. [DOI] [PubMed] [Google Scholar]
- 41.Joseph DS, Malik M, Nurudeen S, Catherino WH. Myometrial cells undergo fibrotic transformation under the influence of transforming growth factor β-3. Fertil Steril. 2010;93:1500–1508. doi: 10.1016/j.fertnstert.2009.01.081. [DOI] [PubMed] [Google Scholar]
- 42.Lee B-S, Nowak RA. Human leiomyoma smooth muscle cells show increased expression of transforming growth factor-β3 (TGFβ3) and altered responses to the antiproliferative effects of TGFβ 1. J Clin Endocrinol Metab. 2001;86:913–920. doi: 10.1210/jcem.86.2.7237. [DOI] [PubMed] [Google Scholar]
- 43.Arici A, Sozen I. Transforming growth factor-β3 is expressed at high levels in leiomyoma where it stimulates fibronectin expression and cell proliferation. Fertil Steril. 2000;73:1006–1011. doi: 10.1016/S0015-0282(00)00418-0. [DOI] [PubMed] [Google Scholar]
- 44.Robertson IB, Horiguchi M, Zilberberg L, et al. Latent TGF-β-binding proteins. Matrix Biol. 2015;47:44–53. doi: 10.1016/j.matbio.2015.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Murphy-Ullrich JE, Suto MJ. Thrombospondin-1 regulation of latent TGF-β activation: a therapeutic target for fibrotic disease. Matrix Biol. 2018;68–69:28–43. doi: 10.1016/j.matbio.2017.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Witkowska M, Smolewski P. SMAD family proteins: the current knowledge on their expression and potential role in neoplastic diseases. Postepy Hig Med Dosw. 2014;68:301–309. doi: 10.5604/17322693.1094726. [DOI] [PubMed] [Google Scholar]
- 47.Cleaver JE. Cancer in xeroderma pigmentosum and related disorders of DNA repair. Nat Rev Cancer. 2005;5:564–573. doi: 10.1038/nrc1652. [DOI] [PubMed] [Google Scholar]
- 48.Green M, Wilson C, Newell O, et al. Diallyl sulfide inhibits diethylstilbesterol-induced DNA adducts in the breast of female ACI rats. Food Chem Toxicol. 2005;43:1323–1331. doi: 10.1016/j.fct.2005.02.005. [DOI] [PubMed] [Google Scholar]
- 49.Borszéková Pulzová L, Ward TA, Chovanec M. XPA: DNA repair protein of significant clinical importance. Int J Mol Sci. 2020;21:2182. doi: 10.3390/ijms21062182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Faridounnia M, Folkers G, Boelens R. Function and interactions of ERCC1-XPF in DNA damage response. Molecules. 2018;23:3205. doi: 10.3390/molecules23123205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Gomes L, Menck C, Leandro G. Autophagy roles in the modulation of DNA repair pathways. Int J Mol Sci. 2017;18:2351. doi: 10.3390/ijms18112351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Baba AB, Rah B, Bhat GR, et al. Transforming growth factor-beta (TGF-β) signaling in cancer—a betrayal within. Front Pharmacol. 2022;13:791272. doi: 10.3389/fphar.2022.791272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Song P, Fan K, Tian X, Wen J. Bisphenol S (BPS) triggers the migration of human non-small cell lung cancer cells via upregulation of TGF-β. Toxicol Vitr. 2019;54:224–231. doi: 10.1016/j.tiv.2018.10.005. [DOI] [PubMed] [Google Scholar]
- 54.Li Z, Yin H, Shen Y, et al. The influence of phenolic environmental estrogen on the transcriptome of uterine leiomyoma cells: a whole transcriptome profiling-based analysis. Ecotoxicol Environ Saf. 2021;211:111945. doi: 10.1016/j.ecoenv.2021.111945. [DOI] [PubMed] [Google Scholar]
- 55.Wang T, Xu F, Song L, et al. Bisphenol A exposure prenatally delays bone development and bone mass accumulation in female rat offspring via the ERβ/HDAC5/TGFβ signaling pathway. Toxicology. 2021;458:152830. doi: 10.1016/j.tox.2021.152830. [DOI] [PubMed] [Google Scholar]
- 56.Zhu Y-P, Chen L, Wang X-J, et al. Maternal exposure to di-n-butyl phthalate (DBP) induces renal fibrosis in adult rat offspring. Oncotarget. 2017;8:31101–31111. doi: 10.18632/oncotarget.16088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Hata A, Chen Y-G. TGF-β Signaling from Receptors to Smads. Cold Spring Harb Perspect Biol. 2016;8:a022061. doi: 10.1101/cshperspect.a022061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Gwinn MR, Johns DO, Bateson TF, Guyton KZ. A review of the genotoxicity of 1,2-dichloroethane (EDC) Mutat Res Mutat Res. 2011;727:42–53. doi: 10.1016/j.mrrev.2011.01.001. [DOI] [PubMed] [Google Scholar]
- 59.Hercog K, Maisanaba S, Filipič M, et al. Genotoxic activity of bisphenol A and its analogues bisphenol S, bisphenol F and bisphenol AF and their mixtures in human hepatocellular carcinoma (HepG2) cells. Sci Total Environ. 2019;687:267–276. doi: 10.1016/j.scitotenv.2019.05.486. [DOI] [PubMed] [Google Scholar]
- 60.Heindel JJ, Balbus J, Birnbaum L, et al. Developmental origins of health and disease: integrating environmental influences. Endocrinology. 2015;156:3416–3421. doi: 10.1210/en.2015-1394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Hoover RN, Hyer M, Pfeiffer RM, et al. Adverse health outcomes in women exposed in utero to diethylstilbestrol. N Engl J Med. 2011;365:1304–1314. doi: 10.1056/NEJMoa1013961. [DOI] [PubMed] [Google Scholar]
- 62.Zota AR, Geller RJ, Calafat AM, et al. Phthalates exposure and uterine fibroid burden among women undergoing surgical treatment for fibroids: a preliminary study. Fertil Steril. 2019;111:112–121. doi: 10.1016/j.fertnstert.2018.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Zota AR, Geller RJ, VanNoy BN, et al. Phthalate exposures and MicroRNA expression in uterine fibroids: the FORGE study. Epigenet Insights. 2020;13:251686572090405. doi: 10.1177/2516865720904057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Lee J, Jeong Y, Mok S, et al. Associations of exposure to phthalates and environmental phenols with gynecological disorders. Reprod Toxicol. 2020;95:19–28. doi: 10.1016/j.reprotox.2020.04.076. [DOI] [PubMed] [Google Scholar]
- 65.Lee G, Kim S, Bastiaensen M, et al. Exposure to organophosphate esters, phthalates, and alternative plasticizers in association with uterine fibroids. Environ Res. 2020;189:109874. doi: 10.1016/j.envres.2020.109874. [DOI] [PubMed] [Google Scholar]
- 66.DeAnn CJ, Davis BJ, Goewey JA, et al. Identification of a sensitive period for developmental programming that increases risk for uterine leiomyoma in Eker rats. Reprod Sci. 2007;14:121–136. doi: 10.1177/1933719106298401. [DOI] [PubMed] [Google Scholar]
- 67.Greathouse KL, Bredfeldt T, Everitt JI, et al. Environmental estrogens differentially engage the histone methyltransferase EZH2 to increase risk of uterine tumorigenesis. Mol Cancer Res. 2012;10:546–557. doi: 10.1158/1541-7786.MCR-11-0605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Mas A, Nair S, Laknaur A, et al. Stro-1/CD44 as putative human myometrial and fibroid stem cell markers. Fertil Steril. 2015;104:225–234.e3. doi: 10.1016/j.fertnstert.2015.04.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Ono M, Bulun SE, Maruyama T. Tissue-specific stem cells in the myometrium and tumor-initiating cells in leiomyoma. Biol Reprod. 2014 doi: 10.1095/biolreprod.114.123794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Sicińska P, Mokra K, Wozniak K, et al. Genotoxic risk assessment and mechanism of DNA damage induced by phthalates and their metabolites in human peripheral blood mononuclear cells. Sci Rep. 2021;11:1658. doi: 10.1038/s41598-020-79932-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Vincent-Hubert F, Revel M, Garric J. DNA strand breaks detected in embryos of the adult snails, Potamopyrgus antipodarum, and in neonates exposed to genotoxic chemicals. Aquat Toxicol. 2012;122–123:1–8. doi: 10.1016/j.aquatox.2012.05.004. [DOI] [PubMed] [Google Scholar]
- 72.Franken C, Koppen G, Lambrechts N, et al. Environmental exposure to human carcinogens in teenagers and the association with DNA damage. Environ Res. 2017;152:165–174. doi: 10.1016/j.envres.2016.10.012. [DOI] [PubMed] [Google Scholar]
- 73.Zhao H, Wei J, Xiang L, Cai Z. Mass spectrometry investigation of DNA adduct formation from bisphenol A quinone metabolite and MCF-7 cell DNA. Talanta. 2018;182:583–589. doi: 10.1016/j.talanta.2018.02.037. [DOI] [PubMed] [Google Scholar]
- 74.Saeed M, Rogan E, Cavalieri E. Mechanism of metabolic activation and DNA adduct formation by the human carcinogen diethylstilbestrol: the defining link to natural estrogens. Int J Cancer. 2009;124:1276–1284. doi: 10.1002/ijc.24113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Cook J, Walker C. The Eker rat: establishing a genetic paradigm linking renal cell carcinoma and uterine leiomyoma. Curr Mol Med. 2004;4:813–824. doi: 10.2174/1566524043359656. [DOI] [PubMed] [Google Scholar]
- 76.Gerasymchuk M (2021) Genomic instability and aging: causes and consequences. In: Genome stability: from virus to human application. Elsevier Inc., pp 533–553
- 77.Shah P, He Y-Y. Molecular regulation of UV-induced DNA repair. Photochem Photobiol. 2015;91:254–264. doi: 10.1111/php.12406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Notch EG, Miniutti DM, Mayer GD. 17α-Ethinylestradiol decreases expression of multiple hepatic nucleotide excision repair genes in zebrafish (Danio rerio) Aquat Toxicol. 2007;84:301–309. doi: 10.1016/j.aquatox.2007.06.006. [DOI] [PubMed] [Google Scholar]
- 79.Kirshner J, Jobling MF, Pajares MJ, et al. Inhibition of transforming growth factor-β1 signaling attenuates ataxia telangiectasia mutated activity in response to genotoxic stress. Cancer Res. 2006;66:10861–10869. doi: 10.1158/0008-5472.CAN-06-2565. [DOI] [PubMed] [Google Scholar]
- 80.Glick AB, Weinberg WC, Wu IH, et al. Transforming growth factor beta 1 suppresses genomic instability independent of a G1 arrest, p53, and Rb. Cancer Res. 1996;56:3645–3650. [PubMed] [Google Scholar]
- 81.Maxwell CA, Fleisch MC, Costes SV, et al. Targeted and nontargeted effects of ionizing radiation that impact genomic instability. Cancer Res. 2008;68:8304–8311. doi: 10.1158/0008-5472.CAN-08-1212. [DOI] [PubMed] [Google Scholar]
- 82.Pal D, Pertot A, Shirole NH, et al. TGF-β reduces DNA ds-break repair mechanisms to heighten genetic diversity and adaptability of CD44+/CD24− cancer cells. Elife. 2017 doi: 10.7554/eLife.21615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Liu L, Zhou W, Cheng C-T, et al. TGFβ induces “BRCAness” and sensitivity to PARP inhibition in breast cancer by regulating DNA-repair genes. Mol Cancer Res. 2014;12:1597–1609. doi: 10.1158/1541-7786.MCR-14-0201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Saxton RA, Sabatini DM (2017) mTOR Signaling in Growth, Metabolism, and Disease. Cell 168:960–976 [DOI] [PMC free article] [PubMed]
- 85.Gabriel SS et al (2021) Transforming growth factor-β-regulated mTOR activity preserves cellular metabolism to maintain long-term T cell responses in chronic infection. Immunity 54:1698–1714.e5 [DOI] [PubMed]
- 86.Woodcock H et al (2015) mTOR signalling is an essential pathway for TGF-β 1 induced collagen synthesis in 3.3 Mechanisms of Lung Injury and Repair, (European Respiratory Society, 2015), p PA935
- 87.Lamouille S, Derynck R (2007) Cell size and invasion in TGF-β–induced epithelial to mesenchymal transition is regulated by activation of the mTOR pathway. J Cell Biol 178:437–451 [DOI] [PMC free article] [PubMed]
- 88.Price GE, Gaszewska-Mastarlarz A, Moskophidis D (2000) The role of Alpha/Beta and Gamma interferons in development of immunity to Influenza A Virus in Mice. J Virol 74:3996–4003 [DOI] [PMC free article] [PubMed]
- 89.Hamon P, et al (2022) TGFβ receptor inhibition unleashes interferon-β production by tumor-associated macrophages and enhances radiotherapy efficacy. J Immunother Cancer 10:e003519 [DOI] [PMC free article] [PubMed]
- 90.Park I-K, Shultz LD, Letterio JJ, Gorham JD (2005) TGF-β1 inhibits T-bet induction by IFN-γ in Murine CD4+ T cells through the Protein Tyrosine Phosphatase Src Homology Region 2 Domain-Containing Phosphatase-1. J Immunol 175:5666–5674 [DOI] [PubMed]
- 91.Donovan J, Slingerland J. Transforming growth factor-β and breast cancer: cell cycle arrest by transforming growth factor-β and its disruption in cancer. Breast Cancer Res. 2000;2:116. doi: 10.1186/bcr43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Kubiczkova L, Sedlarikova L, Hajek R, Sevcikova S. TGF-β—an excellent servant but a bad master. J Transl Med. 2012;10:183. doi: 10.1186/1479-5876-10-183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Branzei D, Foiani M. Regulation of DNA repair throughout the cell cycle. Nat Rev Mol Cell Biol. 2008;9:297–308. doi: 10.1038/nrm2351. [DOI] [PubMed] [Google Scholar]
- 94.Mjelle R, Hegre SA, Aas PA, et al. Cell cycle regulation of human DNA repair and chromatin remodeling genes. DNA Repair (Amst) 2015;30:53–67. doi: 10.1016/j.dnarep.2015.03.007. [DOI] [PubMed] [Google Scholar]
- 95.Zheng H, Jarvis IWH, Bottai M, et al. TGF beta promotes repair of bulky DNA damage through increased ERCC1/XPF and ERCC1/XPA interaction. Carcinogenesis. 2019;40:580–591. doi: 10.1093/carcin/bgy156. [DOI] [PubMed] [Google Scholar]
- 96.Liu J, Yu L, Castro L, et al (2022) Shortterm tetrabromobisphenol A exposure promotes fibrosis of human uterine fibroid cells in a 3D culture system through TGF‐beta signaling. FASEB J. 10.1096/fj.202101262R [DOI] [PMC free article] [PubMed]
- 97.Eltoukhi HM, Modi MN, Weston M, et al. The health disparities of uterine fibroid tumors for African American women: a public health issue. Am J Obstet Gynecol. 2014;210:194–199. doi: 10.1016/j.ajog.2013.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.James-Todd TM, Chiu Y-H, Zota AR. Racial/ethnic disparities in environmental endocrine disrupting chemicals and women’s reproductive health outcomes: epidemiological examples across the life course. Curr Epidemiol Rep. 2016;3:161–180. doi: 10.1007/s40471-016-0073-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Ruiz D, Becerra M, Jagai JS, et al. Disparities in environmental exposures to endocrine-disrupting chemicals and diabetes risk in vulnerable populations. Diabetes Care. 2018;41:193–205. doi: 10.2337/dc16-2765. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Citations
- Liu Z-Q, Chen G-G, Sun R-L, 2018. XPG rs873601 G>A contributes to uterine leiomyoma susceptibility in a Southern Chinese population. Biosci Rep. [DOI] [PMC free article] [PubMed]
Supplementary Materials
Data Availability Statement
The datasets (Raw FASTQ files) generated during and/or analyzed during the current study are available in the NCBI Gene Expression Omnibus database with accession number GSE157503 (Supplementary Fig. 1—VEH-MMSC and EDC-MMSC) and GSE225636 (Figs. 4 and 5—VEH-MMSC, VEH-MMSC + TGFβ1, EDC-MMSC, and EDC-MMSCs + TGFβ RI inhibitor).