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Review ArticleReview
Open Access

NEAT1 in Ovarian Cancer: A Key Regulator of Tumor Progression, Follicular Fluid Dynamics, and Therapeutic Resistance

YUN-CHIEH WU, MIN-HSI KU, WEI-LUN HUANG, LUIZA DIAS and CHI-WEI CHEN
Anticancer Research March 2025, 45 (3) 825-842; DOI: https://doi.org/10.21873/anticanres.17472
YUN-CHIEH WU
1Department of Biochemical and Molecular Medical Sciences, College of Science and Engineering, National Dong Hwa University, Hualien, Taiwan, R.O.C.;
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MIN-HSI KU
1Department of Biochemical and Molecular Medical Sciences, College of Science and Engineering, National Dong Hwa University, Hualien, Taiwan, R.O.C.;
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WEI-LUN HUANG
1Department of Biochemical and Molecular Medical Sciences, College of Science and Engineering, National Dong Hwa University, Hualien, Taiwan, R.O.C.;
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LUIZA DIAS
2Department of Biology, College of Arts and Sciences, Appalachian State University, Boone, NC, U.S.A.
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CHI-WEI CHEN
1Department of Biochemical and Molecular Medical Sciences, College of Science and Engineering, National Dong Hwa University, Hualien, Taiwan, R.O.C.;
2Department of Biology, College of Arts and Sciences, Appalachian State University, Boone, NC, U.S.A.
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  • For correspondence: chenc4{at}appstate.edu
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Abstract

Nuclear enriched abundant transcript 1 (NEAT1), a long non-coding RNA (lncRNA), is a critical player in the pathogenesis and progression of ovarian cancer. Its abnormal expression in patients’ follicular fluid (FF), granulosa cells, and oocytes has been linked to key processes such as cell proliferation, apoptosis, nuclear maturation, and follicle development. NEAT1’s regulation of oocyte maturation and its influence on tumor dynamics and cellular communication within the FF is well-established. In the ovarian tumor microenvironment, NEAT1 contributes to cellular proliferation, invasion, chemoresistance, and apoptosis. Moreover, its dysregulation correlates with poor prognosis and increased tumor aggressiveness, underscoring its potential as a therapeutic target. The interaction of NEAT1 with miRNAs and signaling pathways further highlights its significant role in ovarian cancer progression and its potential as a biomarker. This review explores NEAT1’s contributions to ovarian cancer progression, its influence within the follicular fluid microenvironment, and its therapeutic potential as a target to combat ovarian cancer development and drug resistance.

Keywords:
  • NEAT1
  • ovarian cancer
  • long non-coding RNA (lncRNA)
  • chemoresistance
  • tumor progression
  • epithelial-to-mesenchymal transition (EMT)
  • PI3K/AKT/mTOR pathway
  • competing endogenous RNA (ceRNA)
  • miRNA regulation
  • therapeutic target
  • review

Introduction

Ovarian cancer remains one of the deadliest gynecological malignancies, primarily due to its asymptomatic onset and late-stage diagnosis, which complicates treatment and worsens prognosis (1, 2). Despite advancements in surgical techniques and chemotherapy, survival rates remain alarmingly low, largely due to the development of chemoresistance (3). Consequently, there is an urgent need to uncover the molecular mechanisms driving ovarian cancer to identify novel therapeutic targets (1, 4). In recent years, non-coding RNAs (ncRNAs) have emerged as key regulators in cancer biology, influencing tumor development, progression, and resistance mechanisms (5). Among these, long non-coding RNAs (lncRNAs) have gained significant attention for their ability to modulate gene expression at multiple levels (6).

ncRNAs are a diverse class of RNA molecules that do not encode proteins but are crucial in regulating gene expression through mechanisms such as chromatin remodeling, transcriptional regulation, and post-transcriptional modifications (7). microRNAs (miRNAs) and lncRNAs are major types of ncRNAs and are particularly significant in cancer biology (8). miRNAs are small regulatory RNAs, about 22 nucleotides long, that suppress gene expression by binding to target mRNAs, leading to their degradation or translation inhibition (9). Dysregulation of specific miRNAs in ovarian cancer is frequently associated with aberrant expression of oncogenes or tumor suppressor genes, contributing to tumor progression, metastasis, and chemoresistance (10). For instance, the miR-200 family is well-known for inhibiting epithelial-to-mesenchymal transition (EMT), a critical process in cancer metastasis, and its down-regulation is linked to poorer prognosis in ovarian cancer patients (11).

LncRNAs, typically exceeding 200 nucleotides in length, play equally critical roles in regulating ovarian cancer development and progression (12). LncRNAs act as molecular scaffolds, guiding chromatin modification and influencing gene expression, mRNA splicing, and stability (7). Oncogenic lncRNAs such as HOX transcript antisense RNA (HOTAIR) have been shown to promote ovarian cancer cell proliferation, invasion, and metastasis by altering chromatin states and modulating gene expression (13). Furthermore, lncRNAs are emerging as valuable biomarkers due to their stability in circulation, providing potential non-invasive diagnostic and prognostic tools (14).

ncRNAs are found in follicular fluid (FF) and play a role in the development of the follicle and oocyte (15). FF is composed of a rich reservoir of hormones, cytokines, extracellular vesicles, and ncRNAs (16). FF contributes significantly to tumor dynamics by modulating cell-cell communication and affecting the behavior of cancer cells and immune cells (17). FF-derived ncRNAs, including both miRNAs and lncRNAs, mediate tumor competition and promote the malignant potential of ovarian cancer cells by targeting tumor suppressor pathways involved in apoptosis, cell cycle regulation, and metastasis (18). Understanding how FF components, particularly ncRNAs, shape the tumor microenvironment (TME) is crucial for identifying novel therapeutic strategies.

Among the lncRNAs involved in ovarian cancer, nuclear enriched abundant transcript 1 (NEAT1) stands out as a prominent regulator involved in various cancers, including ovarian cancer (19). Highly up-regulated NEAT1 has been associated with poor prognosis, increased tumor aggressiveness, and enhanced chemoresistance in several malignancies (20). NEAT1 influences key oncogenic processes by interacting with miRNAs and proteins, regulating crucial pathways such as PI3K/AKT/mTOR, which are vital for cell survival, proliferation, and metastasis (21, 22). Recent studies have reinforced NEAT1’s role in ovarian cancer progression, particularly in chemoresistance. NEAT1 enhances cell survival by regulating pathways such as PI3K/AKT/mTOR, contributing to ovarian cancer cells’ resistance to treatments like PARP inhibitors (PARPi) (23). Furthermore, NEAT1’s impact extends to the TME, supporting tumor dynamics and chemoresistance (24). Targeting NEAT1 has been shown to modulate homologous recombination repair mechanisms, increasing cancer cell sensitivity to therapies (25).

This review examines NEAT1’s role in ovarian cancer progression, focusing on its regulatory mechanisms within the TME, particularly its presence in FF. We will also explore NEAT1’s potential as a therapeutic target, offering insights into how disrupting its pathways could provide new avenues for overcoming chemoresistance and improving treatment outcomes for ovarian cancer patients.

Role of NEAT1 in Ovarian Cancer Progression

Importance of NEAT1 in reproductive functions and ovarian cancer progression. While short ncRNAs have gained recognition for their roles in regulating reproductive functions, the influence of lncRNAs on female fertility remains underexplored (26). LncRNAs such as NEAT1 stands out as a key regulator of transcription and RNA processing (7, 27). As a crucial paraspeckle component, NEAT1 is essential in various physiological processes (28). Studies on NEAT1 knockout (KO) mice have revealed significant reproductive dysfunction, including corpus luteum abnormalities and reduced progesterone levels, despite regular ovulation (29). In hamster ovary cells, NEAT1 over-expression suppressed p53 expression and inhibited apoptosis, whereas NEAT1 knockdown enhanced p53 expression and promoted apoptosis. This indicates that NEAT1 may mitigate premature ovarian failure by inhibiting p53 (30). NEAT1 plays a critical role in bone marrow-derived mesenchymal stem cells (BM-MSCs) transplantation, which improves ovarian and hypothalamic IGF-1-kisspeptin signaling, the hypothalamic-pituitary-gonadal (HPG) axis, granulosa cell survival, steroidogenesis, angiogenesis, energy balance, and reduces oxidative stress in premature ovarian insufficiency (POI) rats. Elevated anti-apoptotic lncRNAs and microRNAs in BM-MSCs further aid in mitigating ovarian insufficiency (31). Additionally, NEAT1 has been shown to regulate oocyte maturation by modulating key factors such as PRKCA and JAK3, further underscoring its critical role in fertility regulation (32).

The aberrant expression of lncRNAs is frequently implicated in the development and progression of various cancers, including high-grade serous ovarian cancer (HGSOC) (33). In particular, NEAT1 is notably elevated in HGSOC, where its over-expression is associated with poor prognosis and aggressive tumor behavior (34, 35). NEAT1 has been shown to enhance ovarian cancer cell proliferation, migration, and invasion, as demonstrated through both in vitro and in vivo studies (35).

A key mechanism by which NEAT1 drives HGSOC progression is through the NEAT1/miR-506 axis, in which NEAT1 functions as a competing endogenous RNA (ceRNA), sequestering miR-506 and thereby driving oncogenic processes such as cell migration and proliferation (34). Additionally, extracellular vesicles derived from M2-polarized tumor-associated macrophages (TAMs) contribute to immune evasion in ovarian cancer by modulating the NEAT1/miR-101-3p/ZEB1/PD-L1 axis, further enhancing the tumor’s ability to escape immune surveillance (36).

Multiple oncogenic pathways modulated by NEAT1. NEAT1 exerts a multifaceted influence on ovarian cancer by modulating multiple signaling pathways that drive tumor growth and metastasis (37) (Table I). For instance, NEAT1 regulates ovarian cancer cell proliferation, colony formation, apoptosis, migration, and invasion through the miR-4500/BZW1 axis. By sponging miR-4500, NEAT1 enhances BZW1 expression, contributing to tumor progression (38). Additionally, NEAT1 promotes angiogenesis, a critical process for tumor survival, by regulating fibroblast growth factor 9 (FGF9) via the miR-365 axis. This interaction enhances the angiogenic potential of ovarian cancer cells and co-incubated human umbilical vein endothelial cells, supporting the formation of new blood vessels essential for tumor growth (39).

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Table I.

Summary of NEAT1 mechanisms, pathways, and regulatory functions in cancer.

Beyond these pathways, NEAT1 modulates several other miRNA networks involved in cancer progression (40). For example, the NEAT1/miR-214-3p axis promotes ovarian cancer progression by regulating angiogenesis, which is essential for tumor metastasis. Another significant interaction is the NEAT1/let-7 g axis, in which NEAT1 down-regulates let-7 g, leading to up-regulation of mesoderm-specific transcript (MEST) and promoting tumor progression through the ATGL pathway.

In ovarian granulosa cells, NEAT1 also protects by inhibiting apoptosis and autophagy through the miR-654/STC2-mediated MAPK signaling pathway. This mechanism contributes to ovarian cancer progression and underscores NEAT1’s broader regulatory functions in ovarian biology. These diverse miRNA regulatory networks collectively underscore NEAT1’s ability to orchestrate various oncogenic processes in ovarian cancer.

NEAT1’s role in epithelial-mesenchymal transition and metastasis. NEAT1 is pivotal in promoting EMT, a critical process in cancer metastasis (41-43). By sponging miR-1321, NEAT1 down-regulates tight junction protein 3 (TJP3), enhancing migration, invasion, and EMT in ovarian cancer cells. Knockdown of NEAT1 has been shown to significantly reduce metastatic potential, underscoring its value as a promising therapeutic target for preventing the spread of ovarian cancer (44). Additionally, NEAT1 promotes ovarian cancer metastasis through sponging miR-382-3p, which allows the up-regulation of Rho-associated coiled-coil-containing protein kinase 1 (ROCK1, a gene closely associated with metastasis) (45). This ceRNA relationship amplifies the metastatic capacity of ovarian cancer cells, positioning NEAT1 as a central regulator of both local tumor growth and distant metastasis.

NEAT1 and chemotherapy resistance. Chemotherapy resistance remains a significant challenge in the treatment of ovarian cancer, and the lncRNA NEAT1 plays a pivotal role in this resistance by regulating several key pathways (25). NEAT1 contributes to paclitaxel resistance in ovarian cancer cells by modulating ZEB1 expression via the miR-194 axis, promoting cell survival and proliferation under chemotherapeutic stress (46). Additionally, NEAT1 enhances homologous recombination (HR) repair, increasing resistance to PARP inhibitors (PARPi) such as Olaparib. Knockdown of NEAT1 has been shown to decrease the expression of DNA repair factors RAD51 and FOXM1, thereby increasing DNA damage and sensitizing ovarian cancer cells to chemotherapy (23). NEAT1 also plays a crucial role in suppressing cisplatin resistance. By regulating the miR-770-5p/PARP1 axis, NEAT1 knockdown reduces PARP1 expression, which enhances sensitivity to DNA-damaging agents like cisplatin (47). In addition, the alternative polyadenylation (APA) regulator CSTF3 has been identified as a contributor to platinum resistance in ovarian cancer. CSTF3 promotes the generation of the short isoform NEAT1_1, which is associated with platinum resistance. Knockdown of CSTF3 reduces NEAT1_1 expression, further enhancing the sensitivity of ovarian cancer cells to platinum-based chemotherapy (48). These findings highlight NEAT1 as a potential therapeutic target for overcoming multiple forms of chemoresistance.

Role of FF in Ovarian Cancer

FF components. FF is critical in reproductive physiology and the ovarian TME. Its complex composition, which includes hormones (e.g., estrogen, progesterone), cytokines, growth factors, and reactive oxygen species (ROS), is essential for oocyte development and contributes to the tumorigenic process in ovarian cancer (49-55) (Table II).

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Table II.

Overview of key factors in FF and their roles in ovarian cancer (50-55, 70).

Estrogen, for example, promotes cell growth and extracellular matrix (ECM) remodeling, facilitating the attachment and spread of cells within the fallopian tube epithelium (FTEC). This environment can support the transformation of immortalized human fimbrial epithelial cells, enhancing the potential for tumor formation and dissemination, particularly in high-grade serous carcinoma (HGSC) models. ROS in FF can induce DNA damage in FTEC cells, especially in the presence of p53 mutations, further promoting genomic instability and carcinogenesis (56).

During the follicular phase of the menstrual cycle, FF serves as a nutrient-rich medium that surrounds and nourishes the oocyte. When the follicular cyst ruptures during ovulation, the released FF transiently exposes the ovarian surface epithelium and fallopian tube cells to its contents, including ROS and cytokines, which may promote malignant transformation. The incessant ovulation hypothesis posits that this monthly exposure of ovarian surface cells to FF, followed by cycles of damage and repair, increases the risk of genetic instability and ovarian cancer development.

Additionally, components such as hepatocyte growth factor (HGF) within FF can activate oncogenic pathways such as the HGF/c-MET signaling axis, which supports the migration and invasion of ovarian cancer cells, further contributing to tumor progression (57). These complex signaling events underline the critical role of FF in shaping the tumor microenvironment and driving cancer progression.

Impact on tumor dynamics. The TME is a complex network consisting of the ECM, basement membrane, tumor-infiltrating immune cells, endothelial cells, adipocytes, cancer-associated fibroblasts (CAF), stromal cells, and cancer stem cells (CSC) (58) (Figure 1). Within this microenvironment, FF-derived components, including hormones, cytokines, and ncRNAs, significantly influence tumor progression by modulating cell-cell communication, immune responses, and angiogenesis (17).

Figure 1.
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Figure 1.

The tumor microenvironment (TME) is a complex and dynamic system composed of cancer cells, stromal cells, immune cells, blood vessels, and extracellular matrix components. This figure illustrates the interactions within the TME that contribute to tumor progression, metastasis, and therapeutic resistance. Key elements include exchanging signaling molecules and exosomes between cancer-associated fibroblasts (CAFs) and cancer stem cells (CSC). Immune cells such as tumor-associated macrophages (TAMs) and endothelial cells promote angiogenesis, immune suppression, and extracellular matrix remodeling. Exosomes, which carry non-coding RNAs (ncRNAs), including GAS5, play critical roles in regulating gene expression, cell proliferation, and survival, further driving tumor growth and resistance to therapy. Understanding these interactions, especially the role of exosome-mediated communication, is essential for developing targeted therapies that disrupt the pro-tumorigenic processes in the TME. Images were adopted and modified from Servier Medical Art.

Moreover, TME comprises diverse stromal cells that secrete cytokines, playing a crucial role in cancer progression. Similarly, the ovary contains stromal cells contributing to its physiological and pathological processes. Previous research has shown that the supernatant of cultured ovarian cancer-associated fibroblasts exhibits a significant up-regulation of interleukin-8 (IL-8). This cytokine has been found to promote the migration of ovarian cancer cells while simultaneously reducing autophagy, thereby facilitating tumor progression and survival (57).

Studies indicate that ovarian cancer development begins in fallopian tube secretory epithelial (FTSE) cells (59). Studies also indicate that the FF-exposed fallopian tube epithelial cells (FTECs) may serve as the origin of serous tubal intraepithelial carcinomas (STIC), which metastasize to the ovary (60, 61). The attachment of these cells to the ovarian ECM, mainly type I collagen, is critical in tumor implantation and metastasis (62). Tumor suppressor gene mutations, such as in PTEN, further enhance the survival and proliferation of FTECs within this ECM-rich environment, promoting HGSOC development (63).

Early p53 signature gene mutations transform FTSE cells into serous tubal intraepithelial carcinomas (STIC), which later metastasize to the ovaries and spread to other organs in the peritoneal cavity (64). In FTE-derived HGSOC, tumor heterogeneity within FTE cells significantly influences tumor cell survival, metastasis, and chemoresistance. This heterogeneity is typically inherited from the parent cell of origin, a concept that aids in understanding the genomic composition of tumor tissues and the development of ovarian cancer. Studies have shown that HGSOC and normal fallopian tube epithelial cells share common markers, such as Pax8, WT1, and ESR1, which are widely expressed in HGSOC (65). This indicates that specific subtypes of ovarian cancer possess transcriptomic features similar to normal FTECs, indicating their potential origin from fallopian tube cells.

During ovulation, the ECM that FTECs encounter plays a role in their implantation into the ovary, highlighting the importance of cell migration in ovarian cancer development. The ovulation site exposes the underlying ECM, and FTECs tend to attach to the type I collagen in the ovarian ECM (66). A p53 mutation alone is insufficient for murine oviductal epithelial (MOE) cells to survive in a 3D collagen-rich microenvironment. However, shRNA knockdown of PTEN can restore the relative viability of MOE cells in 3D collagen. PTEN dysregulation or loss leads to hyperactivation of the PI3K/AKT signaling pathway, and sustained PI3K signaling has been found to enhance MOE cell growth in a 3D collagen microenvironment (67).

FF enhances tumor dynamics by activating key signaling pathways such as AKT, ERK, and TGF-β. These pathways collectively promote cell proliferation, invasion, and angiogenesis, ultimately accelerating ovarian cancer progression (68). In conclusion, the FF and TME play critical roles in ovarian cancer progression by modulating key signaling pathways and enhancing cell migration and invasion, thereby promoting tumor growth, metastasis, and resistance to therapy (69).

FF-derived non-coding RNAs in tumor competition. FF contains diverse vesicles and bioactive molecules, including exosomes, which play a pivotal role in supporting follicular development and oocyte maturation (70). ncRNAs within FF, particularly miRNAs and lncRNAs, play a pivotal role in mediating tumor competition by modulating the behavior of cancer cells and their interactions with the TME (69, 71). The miRNAs in FF, such as miR-21 and miR-155, are frequently over-expressed in ovarian cancer and contribute to oncogenesis by targeting tumor suppressor genes like PTEN (72-74). The transfer of these oncogenic miRNAs via extracellular vesicles to neighboring cancer cells further enhances the malignancy of ovarian tumors.

In addition, lncRNAs within FF, such as NEAT1 and TUG1, have been implicated in promoting ovarian cancer progression. NEAT1, for example, interacts with HuR and miR-124-3p, driving carcinogenesis, while TUG1 affects EMT, a critical process in metastasis. These ncRNAs can act as molecular regulators within the TME, influencing cancer cell survival, invasion, and chemoresistance (75) (Figure 2). The expression of specific lncRNAs, such as NBAT-1, is markedly reduced in ovarian cancer, correlating with poor patient prognosis. These tissue-specific lncRNAs exert differential effects on tumor dynamics, making them potential therapeutic targets. By disrupting the pro-tumorigenic effects of FF-derived ncRNAs, it may be possible to modulate the TME in a way that impairs tumor growth and enhances the efficacy of existing treatments (76).

Figure 2.
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Figure 2.

The scheme illustrates the role of long non-coding RNA (lncRNA) in mediating tumor competition within the ovarian cancer microenvironment. lncRNAs modulate various oncogenic processes, including cell proliferation, invasion, metastasis, and chemoresistance. They influence tumor dynamics by regulating gene expression, inhibiting epithelial-to-mesenchymal transition, and suppressing cell survival pathways. The diagram highlights the interactions between lncRNAs and key signaling pathways that limit the competitive advantage of malignant cells, shaping the tumor microenvironment. Images were adopted and modified from Servier Medical Art.

The intricate interplay between FF components and the TME is crucial in ovarian cancer development. Understanding how ncRNAs within FF mediate tumor competition and influence the ovarian microenvironment is essential for identifying novel therapeutic strategies to target the TME in ovarian cancer.

FF and immune modulation. FF contributes to ovarian cancer progression through its hormonal and cytokine composition and plays a significant role in modulating the tumor’s immune environment (77). FF-derived factors, including cytokines and ncRNAs, influence the recruitment and polarization of immune cells, particularly tumor-associated macrophages (TAMs), which contribute to immune suppression and support tumor growth (17).

TAMs are often polarized into the M2 phenotype, which promotes tumor progression by secreting anti-inflammatory cytokines and facilitating ECM remodeling. In ovarian cancer, the ECM protein transforming growth factor beta induced (TGFBI) is highly up-regulated in serous tubal intraepithelial carcinoma (STIC) lesions and the primary HGSOC stroma. TGFBI is predominantly produced by CD163+ M2 macrophages. High levels of TGFBI have been shown to correlate with an increased proportion of immunosuppressive cells, suggesting that TGFBI not only facilitates tumor growth and metastasis but also promotes immune evasion by modulating macrophage activity and distribution (78).

Additionally, ncRNAs present in FF further enhance immune suppression by influencing the behavior of immune cells within the TME (79). For example, miR-21, one of the miRNAs frequently over-expressed in ovarian cancer, contributes to immunosuppressive signaling by down-regulating tumor suppressor genes such as PTEN, which has downstream effects on immune surveillance mechanisms. These interactions underscore the complex role that FF-derived ncRNAs play in creating an immune-tolerant environment that supports ovarian cancer progression (80).

Targeting the tumor immune microenvironment. The collective actions of FF-derived factors and ncRNAs within the TME play a critical role in the development of ovarian cancer by shaping the immune landscape to favor tumor growth and metastasis (81). Understanding the interactions between FF components, immune cells, and stromal cells in the fallopian tubes and ovarian tissues is vital for designing novel therapeutic strategies to overcome immune suppression in ovarian cancer.

By focusing on the modulation of macrophages, such as inhibiting the activity of TGFBI or reprogramming M2 macrophages toward a pro-inflammatory, anti-tumor M1 phenotype, it may be possible to disrupt the immunosuppressive environment that supports ovarian cancer progression (78). Targeting ncRNAs that regulate immune cell behavior also offers promising avenues for therapeutic interventions to reverse immune tolerance and enhance anti-tumor immunity. Ultimately, strategies aimed at modifying the immune microenvironment hold the potential to improve patient outcomes by enhancing the efficacy of existing treatments and offering new avenues for immunotherapy in ovarian cancer.

Therapeutic Prospects for Targeting NEAT1 in Ovarian Cancer

NEAT1 is critical in mediating communication between cancer cells and their microenvironment, enhancing EMT, angiogenesis, and immune evasion. By interacting with other components of FF, NEAT1 facilitates metastasis and contributes to the aggressiveness of ovarian cancer. Recent studies have positioned NEAT1 as a promising therapeutic target in ovarian cancer due to its involvement in various oncogenic processes, including cell proliferation, migration, invasion, and chemoresistance. Targeting NEAT1 could inhibit tumor growth, reduce metastasis, and enhance sensitivity to standard treatments such as chemotherapy and PARPi, offering new avenues for improving patient outcomes (23) (Table III).

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Table III.

Therapeutic prospects for targeting NEAT1 in ovarian cancer.

Targeting NEAT1 expression. One direct approach for targeting NEAT1 in ovarian cancer involves reducing its expression using RNA interference technologies, such as small interfering RNA (siRNA) or antisense oligonucleotides (ASOs) (82). NEAT1 silencing has been shown to inhibit ovarian cancer cell proliferation and invasion while promoting apoptosis. Moreover, NEAT1 knockdown impairs the stability of key oncogenic proteins, such as LIN28B, which are crucial for cancer progression. These findings highlight the therapeutic potential of targeting NEAT1 to disrupt cancer-promoting pathways and reduce tumor aggressiveness (34).

Enhancing chemotherapy sensitivity. NEAT1 plays a critical role in chemotherapy resistance, particularly in cisplatin-resistant ovarian cancer. By regulating miRNA networks that protect cancer cells from apoptosis, NEAT1 promotes resistance to chemotherapy. Targeting NEAT1 could restore chemotherapy sensitivity by reversing these resistance mechanisms. For instance, NEAT1 knockdown enhances ovarian cancer cell sensitivity to cisplatin and other platinum-based drugs by down-regulating anti-apoptotic proteins and up-regulating tumor suppressor genes. This suggests that NEAT1-targeted therapies when combined with conventional chemotherapy, could significantly improve treatment efficacy and overcome drug resistance (25).

Overcoming PARP inhibitor resistance. Another promising therapeutic prospect for targeting NEAT1 is overcoming resistance to PARPi, which exploits DNA repair deficiencies in cancer cells. NEAT1 promotes HR repair by stabilizing proteins like RAD51 and FOXM1, key players in DNA damage repair, thereby contributing to PARPi resistance in ovarian cancer cells. NEAT1 knockdown sensitizes cancer cells to PARPi by inhibiting HR repair and increasing DNA damage. This approach could be especially beneficial for patients with BRCA1/2 mutations who develop resistance to PARPi treatments, potentially improving treatment outcomes and offering a strategy to improve treatment outcomes (23, 25).

Targeting NEAT1/miRNA interactions. NEAT1 exerts many oncogenic effects by acting as a ceRNA that sponges tumor-suppressive miRNAs. For example, NEAT1 sponges miRNAs like miR-34a-5p and miR-1321, promoting the expression of oncogenes involved in cell survival, proliferation, and metastasis (44). Therapeutic strategies aimed at disrupting the NEAT1/miRNA axis could restore the tumor-suppressive functions of these miRNAs, thereby reducing cancer cell viability and metastasis. In particular, targeting the NEAT1/miR-506 and NEAT1/miR-1321 axes holds promise for inhibiting ovarian cancer progression by enhancing the tumor-suppressive effects of these miRNAs (83, 84).

NEAT1 as a biomarker for personalized therapy. Given the strong association between NEAT1 over-expression and poor prognosis in ovarian cancer, NEAT1 could serve as a valuable biomarker for predicting treatment responses and tailoring personalized therapies. Patients with high NEAT1 expression may more likely benefit from NEAT1-targeted therapies or combination treatments with chemotherapy and PARPi (23). Moreover, monitoring NEAT1 levels could provide a means to assess therapeutic efficacy and guide treatment adjustments during disease management, making it a potential tool for personalized cancer therapy (40).

CRISPR-based therapeutic approaches. CRISPR/Cas9 genome-editing technology represents an emerging therapeutic strategy for directly targeting lncRNAs (85), such as NEAT1. CRISPR-based approaches could permanently reduce NEAT1 expression in ovarian cancer cells by disrupting its transcriptional activity or regulatory regions. This method offers a potentially long-lasting therapeutic solution, although further research is necessary to evaluate its safety, efficacy, and delivery mechanisms in clinical applications.

Targeting NEAT1 offers multiple therapeutic prospects for treating ovarian cancer. From RNA silencing technologies to enhancing chemotherapy and PARPi sensitivity, disrupting miRNA interactions, or employing CRISPR-based approaches, NEAT1 represents a critical molecular target with the potential to improve treatment outcomes. Continued exploration into NEAT1’s mechanisms and the development of targeted therapies could pave the way for more effective and personalized cancer treatments in ovarian cancer.

Future Directions

Comprehensive understanding of NEAT1 mechanisms. While significant progress has been made in understanding NEAT1’s role in ovarian cancer, a more thorough understanding of the detailed molecular mechanisms by which NEAT1 regulates key oncogenic processes is needed. Future studies should focus on identifying all downstream effectors of NEAT1 and elucidating its role in various signaling pathways, including those related to apoptosis, cell proliferation, EMT, chemotherapy resistance, and immune response by various approaches, such as bioinformatics analysis (86, 87). Moreover, understanding the context-specific roles of NEAT1 in different subtypes of ovarian cancer, especially in HGSOC, will be crucial for developing targeted therapies (88).

Exploring NEAT1 isoforms and functional domains. NEAT1 is transcribed into two isoforms, NEAT1_1 and NEAT1_2, which may have distinct roles in cancer progression. Future studies should aim to delineate the specific functions of each isoform and their contributions to ovarian cancer pathogenesis. Additionally, exploring the functional domains of NEAT1 that are critical for its interaction with proteins and other RNAs, such as miRNAs, will provide insights into how NEAT1 exerts its oncogenic effects. This knowledge could be pivotal for designing more precise therapeutics to disrupt NEAT1’s oncogenic functions (48).

Development of NEAT1-targeted therapies. Oligonucleotide drugs, first demonstrated with Fomivirsen’s approval in 1998, offer a cost-effective and precise approach to modulating genes beyond the scope of small-molecule inhibitors or monoclonal antibodies (89, 90). The success of mRNA COVID-19 vaccines, such as Moderna’s mRNA-1273 and BioNTech’s BNT162, highlights their potential for treating diverse diseases, including cancer, neurodegenerative disorders, respiratory disorders, and diabetic retinopathy (82, 91-93). However, efficient delivery remains challenging, relying on viral systems (e.g., adenovirus, lentivirus) and nonviral methods like lipid nanoparticles, electroporation, and cell-penetrating peptides (CPPs) (94). Targeting NEAT1 with oligo-nucleotides could harness these advancements to disrupt oncogenic pathways in ovarian cancer and improve therapeutic outcomes.

LncRNAs-targeted therapies, including siRNA, antisense oligonucleotides (ASO), and CRISPR-based approaches, show promise in preclinical models but require further refinement for clinical application (95). Emerging RNA-targeted technologies broaden the therapeutic landscape, addressing challenges in delivery, off-target effects, and long-term safety (Figure 3).

Figure 3.
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Figure 3.

The schematic representation highlights the therapeutic potential of targeting NEAT1 in ovarian cancer. NEAT1 modulates critical oncogenic processes within the ovarian cancer microenvironment, including proliferation, invasion, metastasis, and chemoresistance. Various delivery mechanisms, including siRNA, ASOs, CRISPR, viral vectors, lipid nanoparticles, and cell-penetrating peptides (CPPs), are depicted targeting NEAT1. These strategies aim to disrupt NEAT1-mediated pathways and restore tumor-suppressive functions, enhancing treatment outcomes. The illustration also integrates NEAT1’s interactions with the nucleus and cytoplasmic components, emphasizing its role in tumor progression. Images were adopted and modified from Servier Medical Art.

Role of NEAT1 in the tumor microenvironment. Emerging evidence suggests that NEAT1 influences cancer cell behavior and shapes the TME, including its interactions with immune cells and stromal components. Future research should investigate how NEAT1 modulates the TME in ovarian cancer and whether targeting NEAT1 can disrupt tumor-stroma interactions, potentially enhancing immune responses and reducing tumor progression. Understanding NEAT1’s role in the crosstalk between cancer cells and the TME could open new avenues for therapeutic interventions that target the broader tumor ecosystem (24).

NEAT1 as a biomarker for early detection and treatment response. Given the strong association between NEAT1 over-expression and poor prognosis in ovarian cancer, future studies should evaluate the potential of NEAT1 as a biomarker from FF-derived exosomes for early detection, disease monitoring, and treatment response prediction (35, 96). Longitudinal studies involving larger patient cohorts are necessary to confirm the prognostic value of NEAT1 levels in ovarian cancer. Additionally, non-invasive methods for detecting NEAT1 in circulating tumor cells or extracellular vesicles, such as exosomes, could be developed to monitor disease progression and assess therapeutic efficacy.

Clinical trials and patient-centered research. To translate the promising preclinical findings on lncRNAs into clinical applications will require well-designed clinical trials that evaluate the safety, efficacy, and tolerability of lncRNA-targeted therapies in patients (97). The ongoing clinical trial NCT05995067 examines the involvement of NEAT1 and MALAT1 in EMT, a process linked to the progression of diseases like periodontitis. As a polymicrobial inflammatory condition, periodontitis features EMT-driven tissue degradation, though the contribution of lncRNAs to this process remains insufficiently studied. Moreover, the ongoing clinical trial NCT04937855 explores the role of NEAT1 in mitigating lung injury in acute respiratory distress syndrome (ARDS) by functioning as a ceRNA to sequester miR-27b, thereby activating Nrf2 and reducing inflammation. Insights into lncRNA-mediated regulation of EMT and inflammation could unveil novel therapeutic targets for ARDS and related conditions. Collaborative efforts between researchers, clinicians, and pharmaceutical companies are essential to advance NEAT1-based therapeutics into clinical settings. Furthermore, patient-centered research that considers the quality of life, potential side effects, and accessibility of these therapies will be important in ensuring their success in the real-world clinical landscape.

The future of NEAT1 research in ovarian cancer is filled with exciting possibilities. By addressing key challenges such as understanding NEAT1 mechanisms, developing targeted therapies, exploring its role in the TME, and leveraging its potential as a biomarker, researchers can pave the way for new therapeutic strategies that may significantly improve the outcomes for ovarian cancer patients.

Conclusion

NEAT1 has emerged as a crucial lncRNA with significant roles in ovarian cancer progression, chemoresistance, and tumor metastasis (88). It’s over-expression has been consistently associated with poor prognosis, advanced clinical stages, and increased tumor aggressiveness. Mechanistically, NEAT1 exerts its oncogenic effects by interacting with miRNAs, particularly through its function as a ceRNA, regulating key signaling pathways such as PI3K/AKT/mTOR and facilitating processes like EMT. Additionally, NEAT1 has been shown to promote chemoresistance by influencing miRNAs involved in apoptosis and survival pathways, making it a promising target for overcoming drug resistance in ovarian cancer treatment.

The therapeutic potential of targeting NEAT1 is underscored by preclinical studies demonstrating that NEAT1 knockdown can inhibit tumor growth, reduce cell proliferation, and enhance sensitivity to chemotherapeutic agents such as cisplatin and PARP inhibitors (23). Future therapeutic strategies focusing on NEAT1 silencing or its downstream effectors may provide new avenues for treating patients with ovarian cancer, particularly those with drug-resistant tumors. Moreover, NEAT1’s role in modulating the TME and its potential as a biomarker for early detection and treatment response further highlights its importance in ovarian cancer research (88).

In conclusion, while considerable progress has been made in understanding the biological functions of NEAT1 in ovarian cancer, much remains to be explored. Advancing our knowledge of NEAT1’s precise mechanisms, developing clinically viable NEAT1-targeted therapies, and conducting rigorous clinical trials will be essential in translating these findings into improved outcomes for ovarian cancer patients. As research continues, NEAT1 holds the promise of becoming a pivotal target in the fight against ovarian cancer, offering new hope for more effective, personalized treatment options.

Acknowledgements

The authors gratefully acknowledge the support of Prof. Han-Jung Lee (Department of Natural Resources and Environmental Studies, College of Environmental Studies, National Dong Hwa University) and the generous support of the Richard Lounsbery Foundation.

Footnotes

  • Authors’ Contributions

    Y-C.W.: Writing – original draft, Visualization (figures – design and production). M-H.K.: Writing – original draft, Visualization (figures – design and production). W-L.H.: Writing – original draft. L.D.: Writing – technical editing. C-W.C.: Writing – original draft, technical editing, and formatting.

  • Conflicts of Interest

    No potential conflicts of interest were reported by the Author(s).

  • Funding

    The work was supported by Taiwan’s National Science and Technology Council (NSTC 111-2320-B-259-001- and NSTC 1112320-B-259-002-MY3) (to C-W.C.).

  • Received January 1, 2025.
  • Revision received January 17, 2025.
  • Accepted January 20, 2025.
  • Copyright © 2025 The Author(s). Published by the International Institute of Anticancer Research.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) 4.0 international license (https://creativecommons.org/licenses/by-nc-nd/4.0).

References

  1. ↵
    1. Siegel RL,
    2. Giaquinto AN,
    3. Jemal A
    : Cancer statistics, 2024. CA Cancer J Clin 74(1): 12-49, 2024. DOI: 10.3322/caac.21820
    OpenUrlCrossRefPubMed
  2. ↵
    1. Pignata S,
    2. C Cecere S,
    3. Du Bois A,
    4. Harter P,
    5. Heitz F
    : Treatment of recurrent ovarian cancer. Ann Oncol 28(suppl_8): viii51-viii56, 2017. DOI: 10.1093/annonc/mdx441
    OpenUrlCrossRefPubMed
  3. ↵
    1. Frezzini S,
    2. Lonardi S
    : Spotlight on new hallmarks of drug-resistance towards personalized care for epithelial ovarian cancer. Cells 13(7): 611, 2024. DOI: 10.3390/cells13070611
    OpenUrlCrossRef
  4. ↵
    1. González-Martín A,
    2. Harter P,
    3. Leary A,
    4. Lorusso D,
    5. Miller RE,
    6. Pothuri B,
    7. Ray-Coquard I,
    8. Tan DSP,
    9. Bellet E,
    10. Oaknin A,
    11. Ledermann JA, ESMO Guidelines Committee
    : Newly diagnosed and relapsed epithelial ovarian cancer: Esmo clinical practice guideline for diagnosis, treatment and follow-up. Ann Oncol 34(10): 833-848, 2023. DOI: 10.1016/j.annonc.2023.07.011
    OpenUrlCrossRefPubMed
  5. ↵
    1. Beg A,
    2. Parveen R,
    3. Fouad H,
    4. Yahia ME,
    5. Hassanein AS
    : Role of different non-coding RNAs as ovarian cancer biomarkers. J Ovarian Res 15(1): 72, 2022. DOI: 10.1186/s13048-022-01002-3
    OpenUrlCrossRefPubMed
  6. ↵
    1. Usman M,
    2. Li A,
    3. Wu D,
    4. Qinyan Y,
    5. Yi LX,
    6. He G,
    7. Lu H
    : The functional role of lncRNAs as ceRNAs in both ovarian processes and associated diseases. Noncoding RNA Res 9(1): 165-177, 2023. DOI: 10.1016/j.ncrna.2023.11.008
    OpenUrlCrossRefPubMed
  7. ↵
    1. Statello L,
    2. Guo CJ,
    3. Chen LL,
    4. Huarte M
    : Gene regulation by long non-coding RNAs and its biological functions. Nat Rev Mol Cell Biol 22(2): 96-118, 2021. DOI: 10.1038/s41580-020-00315-9
    OpenUrlCrossRefPubMed
  8. ↵
    1. Yan H,
    2. Bu P
    : Non-coding RNA in cancer. Essays Biochem 65(4): 625-639, 2021. DOI: 10.1042/EBC20200032
    OpenUrlCrossRefPubMed
  9. ↵
    1. Mattick JS,
    2. Amaral PP,
    3. Carninci P,
    4. Carpenter S,
    5. Chang HY,
    6. Chen LL,
    7. Chen R,
    8. Dean C,
    9. Dinger ME,
    10. Fitzgerald KA,
    11. Gingeras TR,
    12. Guttman M,
    13. Hirose T,
    14. Huarte M,
    15. Johnson R,
    16. Kanduri C,
    17. Kapranov P,
    18. Lawrence JB,
    19. Lee JT,
    20. Mendell JT,
    21. Mercer TR,
    22. Moore KJ,
    23. Nakagawa S,
    24. Rinn JL,
    25. Spector DL,
    26. Ulitsky I,
    27. Wan Y,
    28. Wilusz JE,
    29. Wu M
    : Long non-coding RNAs: definitions, functions, challenges and recommendations. Nat Rev Mol Cell Biol 24(6): 430-447, 2023. DOI: 10.1038/s41580-022-00566-8
    OpenUrlCrossRefPubMed
  10. ↵
    1. Fasoulakis Z,
    2. Psarommati MZ,
    3. Papapanagiotou A,
    4. Pergialiotis V,
    5. Koutras A,
    6. Douligeris A,
    7. Mortaki A,
    8. Mihail A,
    9. Theodora M,
    10. Stavros S,
    11. Karakalpakis D,
    12. Papamihail M,
    13. Kontomanolis EN,
    14. Daskalakis G,
    15. Antsaklis P
    : MicroRNAs can influence ovarian cancer progression by dysregulating integrin activity. Cancers (Basel) 15(18): 4449, 2023. DOI: 10.3390/cancers15184449
    OpenUrlCrossRefPubMed
  11. ↵
    1. Choi PW,
    2. Ng SW
    : The functions of microRNA-200 family in ovarian cancer: beyond epithelial-mesenchymal transition. Int J Mol Sci 18(6): 1207, 2017. DOI: 10.3390/ijms18061207
    OpenUrlCrossRefPubMed
  12. ↵
    1. Braga EA,
    2. Fridman MV,
    3. Moscovtsev AA,
    4. Filippova EA,
    5. Dmitriev AA,
    6. Kushlinskii NE
    : LncRNAs in ovarian cancer progression, metastasis, and main pathways: ceRNA and alternative mechanisms. Int J Mol Sci 21(22): 8855, 2020. DOI: 10.3390/ijms21228855
    OpenUrlCrossRefPubMed
  13. ↵
    1. Ghafouri-Fard S,
    2. Dashti S,
    3. Farsi M,
    4. Taheri M
    : HOX transcript antisense RNA: An oncogenic lncRNA in diverse malignancies. Exp Mol Pathol 118: 104578, 2021. DOI: 10.1016/j.yexmp.2020.104578
    OpenUrlCrossRefPubMed
  14. ↵
    1. Badowski C,
    2. He B,
    3. Garmire LX
    : Blood-derived lncRNAs as biomarkers for cancer diagnosis: the Good, the Bad and the Beauty. NPJ Precis Oncol 6(1): 40, 2022. DOI: 10.1038/s41698-022-00283-7
    OpenUrlCrossRefPubMed
  15. ↵
    1. Tu M,
    2. Wu Y,
    3. Mu L,
    4. Zhang D
    : Long non-coding RNAs: novel players in the pathogenesis of polycystic ovary syndrome. Ann Transl Med 9(2): 173, 2021. DOI: 10.21037/atm-20-5044
    OpenUrlCrossRefPubMed
  16. ↵
    1. Uzbekova S,
    2. Almiñana C,
    3. Labas V,
    4. Teixeira-Gomes AP,
    5. Combes-Soia L,
    6. Tsikis G,
    7. Carvalho AV,
    8. Uzbekov R,
    9. Singina G
    : Protein cargo of extracellular vesicles from bovine follicular fluid and analysis of their origin from different ovarian cells. Front Vet Sci 7: 584948, 2020. DOI: 10.3389/fvets.2020.584948
    OpenUrlCrossRefPubMed
  17. ↵
    1. Prins JR,
    2. Marissen LM,
    3. Scherjon SA,
    4. Hoek A,
    5. Cantineau AEP
    : Is there an immune modulating role for follicular fluid in endometriosis? A narrative review. Reproduction 159(1): R45-R54, 2020. DOI: 10.1530/REP-19-0050
    OpenUrlCrossRefPubMed
  18. ↵
    1. Nasser JS,
    2. Altahoo N,
    3. Almosawi S,
    4. Alhermi A,
    5. Butler AE
    : The role of microRNA, long non-coding RNA and circular RNA in the pathogenesis of polycystic ovary syndrome: a literature review. Int J Mol Sci 25(2): 903, 2024. DOI: 10.3390/ijms25020903
    OpenUrlCrossRefPubMed
  19. ↵
    1. Yin L,
    2. Wang Y
    : Long non-coding RNA NEAT1 facilitates the growth, migration, and invasion of ovarian cancer cells via the let-7 g/MEST/ATGL axis. Cancer Cell Int 21(1): 437, 2021. DOI: 10.1186/s12935-021-02018-3
    OpenUrlCrossRefPubMed
  20. ↵
    1. Klec C,
    2. Prinz F,
    3. Pichler M
    : Involvement of the long noncoding RNA NEAT1 in carcinogenesis. Mol Oncol 13(1): 46-60, 2019. DOI: 10.1002/1878-0261.12404
    OpenUrlCrossRefPubMed
  21. ↵
    1. Chen J,
    2. Wang H,
    3. Wang J,
    4. Niu W,
    5. Deng C,
    6. Zhou M
    : LncRNA NEAT1 enhances glioma progression via regulating the miR-128-3p/ITGA5 axis. Mol Neurobiol 58(10): 5163-5177, 2021. DOI: 10.1007/s12035-021-02474-y
    OpenUrlCrossRefPubMed
  22. ↵
    1. Guo HM,
    2. Yang SH,
    3. Zhao SZ,
    4. Li L,
    5. Yan MT,
    6. Fan MC
    : LncRNA NEAT1 regulates cervical carcinoma proliferation and invasion by targeting AKT/PI3K. Eur Rev Med Pharmacol Sci 22(13): 4090-4097, 2018. DOI: 10.26355/eurrev_201807_15400
    OpenUrlCrossRefPubMed
  23. ↵
    1. Liu Y,
    2. Liu G
    : Targeting NEAT1 affects the sensitivity to PARPi in serous ovarian cancer by regulating the homologous recombination repair pathway. J Cancer 15(5): 1397-1413, 2024. DOI: 10.7150/jca.91896
    OpenUrlCrossRefPubMed
  24. ↵
    1. Almujri SS,
    2. Almalki WH
    : The paradox of autophagy in cancer: NEAT1’s role in tumorigenesis and therapeutic resistance. Pathol Res Pract 262: 155523, 2024. DOI: 10.1016/j.prp.2024.155523
    OpenUrlCrossRefPubMed
  25. ↵
    1. Long F,
    2. Li X,
    3. Pan J,
    4. Ye H,
    5. Di C,
    6. Huang Y,
    7. Li J,
    8. Zhou X,
    9. Yi H,
    10. Huang Q,
    11. Si J
    : The role of lncRNA NEAT1 in human cancer chemoresistance. Cancer Cell Int 24(1): 236, 2024. DOI: 10.1186/s12935-024-03426-x
    OpenUrlCrossRefPubMed
  26. ↵
    1. Robles V,
    2. Valcarce DG,
    3. Riesco MF
    : Non-coding RNA regulation in reproduction: Their potential use as biomarkers. Noncoding RNA Res 4(2): 54-62, 2019. DOI: 10.1016/j.ncrna.2019.04.001
    OpenUrlCrossRefPubMed
  27. ↵
    1. Wang Z,
    2. Li K,
    3. Huang W
    : Long non-coding RNA NEAT1-centric gene regulation. Cell Mol Life Sci 77(19): 3769-3779, 2020. DOI: 10.1007/s00018-020-03503-0
    OpenUrlCrossRef
  28. ↵
    1. Lo PK,
    2. Wolfson B,
    3. Zhou Q
    : Cellular, physiological and pathological aspects of the long non-coding RNA NEAT1. Front Biol (Beijing) 11(6): 413-426, 2016. DOI: 10.1007/s11515-016-1433-z
    OpenUrlCrossRefPubMed
  29. ↵
    1. Nakagawa S,
    2. Shimada M,
    3. Yanaka K,
    4. Mito M,
    5. Arai T,
    6. Takahashi E,
    7. Fujita Y,
    8. Fujimori T,
    9. Standaert L,
    10. Marine JC,
    11. Hirose T
    : The lncRNA Neat1 is required for corpus luteum formation and the establishment of pregnancy in a subpopulation of mice. Development 141(23): 4618-4627, 2014. DOI: 10.1242/dev.110544
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Li M,
    2. Peng J,
    3. Zeng Z
    : Overexpression of long non-coding RNA nuclear enriched abundant transcript 1 inhibits the expression of p53 and improves premature ovarian failure. Exp Ther Med 20(5): 69, 2020. DOI: 10.3892/etm.2020.9197
    OpenUrlCrossRefPubMed
  31. ↵
    1. Ahmed AI,
    2. Dowidar MF,
    3. Negm AF,
    4. Abdellatif H,
    5. Alanazi A,
    6. Alassiri M,
    7. Samy W,
    8. Mekawy DM,
    9. Abdelghany EMA,
    10. El-Naseery NI,
    11. Ibrahem MA,
    12. Albadawi EA,
    13. Salah W,
    14. Eldesoqui M,
    15. Tîrziu E,
    16. Bucur IM,
    17. Arisha AH,
    18. Khamis T
    : Bone marrow mesenchymal stem cells expressing Neat-1, Hotair-1, miR-21, miR-644, and miR-144 subsided cyclophosphamide-induced ovarian insufficiency by remodeling the IGF-1-kisspeptin system, ovarian apoptosis, and angiogenesis. J Ovarian Res 17(1): 184, 2024. DOI: 10.1186/s13048-024-01498-x
    OpenUrlCrossRefPubMed
  32. ↵
    1. Wei L,
    2. Xia H,
    3. Liang Z,
    4. Yu H,
    5. Liang Z,
    6. Yang X,
    7. Li Y
    : Disrupted expression of long non-coding RNAs in the human oocyte: the possible epigenetic culprits leading to recurrent oocyte maturation arrest. J Assist Reprod Genet 39(10): 2215-2225, 2022. DOI: 10.1007/s10815-022-02596-9
    OpenUrlCrossRefPubMed
  33. ↵
    1. Calanca N,
    2. Abildgaard C,
    3. Rainho CA,
    4. Rogatto SR
    : The interplay between long noncoding RNAs and proteins of the epigenetic machinery in ovarian cancer. Cancers (Basel) 12(9): 2701, 2020. DOI: 10.3390/cancers12092701
    OpenUrlCrossRefPubMed
  34. ↵
    1. Yong W,
    2. Yu D,
    3. Jun Z,
    4. Yachen D,
    5. Weiwei W,
    6. Midie X,
    7. Xingzhu J,
    8. Xiaohua W
    : Long noncoding RNA NEAT1, regulated by LIN28B, promotes cell proliferation and migration through sponging miR-506 in high-grade serous ovarian cancer. Cell Death Dis 9(9): 861, 2018. DOI: 10.1038/s41419-018-0908-z
    OpenUrlCrossRefPubMed
  35. ↵
    1. Liu Y,
    2. Li Y,
    3. Wu Y,
    4. Zhao Y,
    5. Hu X,
    6. Sun C
    : The long non-coding RNA NEAT1 promotes the progression of human ovarian cancer through targeting miR-214-3p and regulating angiogenesis. J Ovarian Res 16(1): 219, 2023. DOI: 10.1186/s13048-023-01309-9
    OpenUrlCrossRefPubMed
  36. ↵
    1. Yin L,
    2. Wang Y
    : Extracellular vesicles derived from M2-polarized tumor-associated macrophages promote immune escape in ovarian cancer through NEAT1/miR-101-3p/ZEB1/PD-L1 axis. Cancer Immunol Immunother 72(3): 743-758, 2023. DOI: 10.1007/s00262-022-03305-2
    OpenUrlCrossRefPubMed
  37. ↵
    1. Li K,
    2. Yao T,
    3. Zhang Y,
    4. Li W,
    5. Wang Z
    : NEAT1 as a competing endogenous RNA in tumorigenesis of various cancers: Role, mechanism and therapeutic potential. Int J Biol Sci 17(13): 3428-3440, 2021. DOI: 10.7150/ijbs.62728
    OpenUrlCrossRefPubMed
  38. ↵
    1. Xu H,
    2. Sun X,
    3. Huang Y,
    4. Si Q,
    5. Li M
    : Long non-coding RNA NEAT1 modifies cell proliferation, colony formation, apoptosis, migration and invasion via the miR-4500/BZW1 axis in ovarian cancer. Mol Med Rep 22(4): 3347-3357, 2020. DOI: 10.3892/mmr.2020.11408
    OpenUrlCrossRefPubMed
  39. ↵
    1. Yuan J,
    2. Yi K,
    3. Yang L
    : LncRNA NEAT1 promotes proliferation of ovarian cancer cells and angiogenesis of co-incubated human umbilical vein endothelial cells by regulating FGF9 through sponging miR-365: An experimental study. Medicine (Baltimore) 100(3): e23423, 2021. DOI: 10.1097/MD.0000000000023423
    OpenUrlCrossRefPubMed
  40. ↵
    1. Zhou H,
    2. Wang Y,
    3. Liu Z,
    4. Zhang Z,
    5. Xiong L,
    6. Wen Y
    : Recent advances of NEAT1-miRNA interactions in cancer. Acta Biochim Biophys Sin (Shanghai) 54(2): 153-162, 2022. DOI: 10.3724/abbs.2021022
    OpenUrlCrossRefPubMed
  41. ↵
    1. Chen Y,
    2. Li J,
    3. Xiao JK,
    4. Xiao L,
    5. Xu BW,
    6. Li C
    : The lncRNA NEAT1 promotes the epithelial-mesenchymal transition and metastasis of osteosarcoma cells by sponging miR-483 to upregulate STAT3 expression. Cancer Cell Int 21(1): 90, 2021. DOI: 10.1186/s12935-021-01780-8
    OpenUrlCrossRefPubMed
    1. Wang H,
    2. Zheng G
    : LncRNA NEAT1 promotes proliferation, migration, invasion and epithelial-mesenchymal transition process in TGF-β2-stimulated lens epithelial cells through regulating the miR-486-5p/SMAD4 axis. Cancer Cell Int 20(1): 529, 2020. DOI: 10.1186/s12935-020-01619-8
    OpenUrlCrossRefPubMed
  42. ↵
    1. Liu F,
    2. Chen N,
    3. Gong Y,
    4. Xiao R,
    5. Wang W,
    6. Pan Z
    : The long non-coding RNA NEAT1 enhances epithelial-to-mesenchymal transition and chemoresistance via the miR-34a/c-Met axis in renal cell carcinoma. Oncotarget 8(38): 62927-62938, 2017. DOI: 10.18632/oncotarget.17757
    OpenUrlCrossRefPubMed
  43. ↵
    1. Luo M,
    2. Zhang L,
    3. Yang H,
    4. Luo K,
    5. Qing C
    : Long non-coding RNA NEAT1 promotes ovarian cancer cell invasion and migration by interacting with miR-1321 and regulating tight junction protein 3 expression. Mol Med Rep 22(4): 3429-3439, 2020. DOI: 10.3892/mmr.2020.11428
    OpenUrlCrossRefPubMed
  44. ↵
    1. Liu Y,
    2. Wang Y,
    3. Fu X,
    4. Lu Z
    : Long non-coding RNA NEAT1 promoted ovarian cancer cells’ metastasis through regulation of miR-382-3p/ROCK1 axial. Cancer Sci 109(7): 2188-2198, 2018. DOI: 10.1111/cas.13647
    OpenUrlCrossRefPubMed
  45. ↵
    1. An J,
    2. Lv W,
    3. Zhang Y
    : LncRNA NEAT1 contributes to paclitaxel resistance of ovarian cancer cells by regulating ZEB1 expression via miR-194. Onco Targets Ther 10: 5377-5390, 2017. DOI: 10.2147/OTT.S147586
    OpenUrlCrossRefPubMed
  46. ↵
    1. Zhu M,
    2. Yang L,
    3. Wang X
    : NEAT1 knockdown suppresses the cisplatin resistance in ovarian cancer by regulating miR-770-5p/PARP1 axis. Cancer Manag Res 12: 7277-7289, 2020. DOI: 10.2147/CMAR.S257311
    OpenUrlCrossRefPubMed
  47. ↵
    1. Luo X,
    2. Wei Q,
    3. Jiang X,
    4. Chen N,
    5. Zuo X,
    6. Zhao H,
    7. Liu Y,
    8. Liu X,
    9. Xie L,
    10. Yang Y,
    11. Liu T,
    12. Yi P,
    13. Xu J
    : CSTF3 contributes to platinum resistance in ovarian cancer through alternative polyadenylation of lncRNA NEAT1 and generating the short isoform NEAT1_1. Cell Death Dis 15(6): 432, 2024. DOI: 10.1038/s41419-024-06816-1
    OpenUrlCrossRefPubMed
  48. ↵
    1. Fathalla MF
    : Incessant ovulation and ovarian cancer - a hypothesis re-visited. Facts Views Vis Obgyn 5(4): 292-297, 2013.
    OpenUrlPubMed
  49. ↵
    1. Kozieł MJ,
    2. Piastowska-Ciesielska AW
    : Estrogens, estrogen receptors and tumor microenvironment in ovarian cancer. Int J Mol Sci 24(19): 14673, 2023. DOI: 10.3390/ijms241914673
    OpenUrlCrossRefPubMed
    1. Ho SM
    : Estrogen, progesterone and epithelial ovarian cancer. Reprod Biol Endocrinol 1: 73, 2003. DOI: 10.1186/1477-7827-1-73
    OpenUrlCrossRefPubMed
    1. Wei S,
    2. Lai L,
    3. Yang J,
    4. Zhuandi G
    : Expression levels of follicle-stimulating hormone receptor and implication in diagnostic and therapeutic strategy of ovarian cancer. Oncol Res Treat 41(10): 651-654, 2018. DOI: 10.1159/000490810
    OpenUrlCrossRefPubMed
    1. Zhang Z,
    2. Liao H,
    3. Chen X,
    4. Zheng Y,
    5. Liu Y,
    6. Tao X,
    7. Gu C,
    8. Dong L,
    9. Duan T,
    10. Yang Y,
    11. Liu X,
    12. Yu Y,
    13. Feng Y
    : Luteinizing hormone upregulates survivin and inhibits apoptosis in ovarian epithelial tumors. Eur J Obstet Gynecol Reprod Biol 155(1): 69-74, 2011. DOI: 10.1016/j.ejogrb.2010.10.017
    OpenUrlCrossRefPubMed
    1. Weghofer A,
    2. Schnepf S,
    3. Barad D,
    4. Gleicher N
    : The impact of luteinizing hormone in assisted reproduction: a review. Curr Opin Obstet Gynecol 19(3): 253-257, 2007. DOI: 10.1097/GCO.0b013e3280bad843
    OpenUrlCrossRefPubMed
  50. ↵
    1. Palma-Vera SE,
    2. Schoen J,
    3. Chen S
    : Periovulatory follicular fluid levels of estradiol trigger inflammatory and DNA damage responses in oviduct epithelial cells. PLoS One 12(2): e0172192, 2017. DOI: 10.1371/journal.pone.0172192
    OpenUrlCrossRefPubMed
  51. ↵
    1. Zhu M,
    2. Wang N,
    3. Wang S,
    4. Wang Y,
    5. Yang X,
    6. Fan J,
    7. Chen Y
    : Effects of follicular fluid on physiological characteristics and differentiation of fallopian tube epithelial cells implicating for ovarian cancer pathogenesis. Int J Mol Sci 24(12): 10154, 2023. DOI: 10.3390/ijms241210154
    OpenUrlCrossRefPubMed
  52. ↵
    1. Chu TY,
    2. Khine AA,
    3. Wu NY,
    4. Chen PC,
    5. Chu SC,
    6. Lee MH,
    7. Huang HS
    : Insulin-like growth factor (IGF) and hepatocyte growth factor (HGF) in follicular fluid cooperatively promote the oncogenesis of high-grade serous carcinoma from fallopian tube epithelial cells: Dissection of the molecular effects. Mol Carcinog 62(9): 1417-1427, 2023. DOI: 10.1002/mc.23586
    OpenUrlCrossRefPubMed
  53. ↵
    1. de Visser KE,
    2. Joyce JA
    : The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth. Cancer Cell 41(3): 374-403, 2023. DOI: 10.1016/j.ccell.2023.02.016
    OpenUrlCrossRefPubMed
  54. ↵
    1. Erickson BK,
    2. Conner MG,
    3. Landen CN Jr.
    : The role of the fallopian tube in the origin of ovarian cancer. Am J Obstet Gynecol 209(5): 409-414, 2013. DOI: 10.1016/j.ajog.2013.04.019
    OpenUrlCrossRefPubMed
  55. ↵
    1. Karst AM,
    2. Levanon K,
    3. Drapkin R
    : Modeling high-grade serous ovarian carcinogenesis from the fallopian tube. Proc Natl Acad Sci USA 108(18): 7547-7552, 2011. DOI: 10.1073/pnas.1017300108
    OpenUrlAbstract/FREE Full Text
  56. ↵
    1. Mei J,
    2. Tian H,
    3. Huang HS,
    4. Hsu CF,
    5. Liou Y,
    6. Wu N,
    7. Zhang W,
    8. Chu TY
    : Cellular models of development of ovarian high-grade serous carcinoma: A review of cell of origin and mechanisms of carcinogenesis. Cell Prolif 54(5): e13029, 2021. DOI: 10.1111/cpr.13029
    OpenUrlCrossRefPubMed
  57. ↵
    1. Cho A,
    2. Howell VM,
    3. Colvin EK
    : The extracellular matrix in epithelial ovarian cancer - a piece of a puzzle. Front Oncol 5: 245, 2015. DOI: 10.3389/fonc.2015.00245
    OpenUrlCrossRefPubMed
  58. ↵
    1. Russo A,
    2. Colina JA,
    3. Moy J,
    4. Baligod S,
    5. Czarnecki AA,
    6. Varughese P,
    7. Lantvit DD,
    8. Dean MJ,
    9. Burdette JE
    : Silencing PTEN in the fallopian tube promotes enrichment of cancer stem cell-like function through loss of PAX2. Cell Death Dis 12(4): 375, 2021. DOI: 10.1038/s41419-021-03663-2
    OpenUrlCrossRefPubMed
  59. ↵
    1. Lee JY,
    2. Yoon JK,
    3. Kim B,
    4. Kim S,
    5. Kim MA,
    6. Lim H,
    7. Bang D,
    8. Song YS
    : Tumor evolution and intratumor heterogeneity of an epithelial ovarian cancer investigated using next-generation sequencing. BMC Cancer 15: 85, 2015. DOI: 10.1186/s12885-015-1077-4
    OpenUrlCrossRefPubMed
  60. ↵
    1. Hu Z,
    2. Artibani M,
    3. Alsaadi A,
    4. Wietek N,
    5. Morotti M,
    6. Shi T,
    7. Zhong Z,
    8. Santana Gonzalez L,
    9. El-Sahhar S,
    10. Carrami EM,
    11. Mallett G,
    12. Feng Y,
    13. Masuda K,
    14. Zheng Y,
    15. Chong K,
    16. Damato S,
    17. Dhar S,
    18. Campo L,
    19. Garruto Campanile R,
    20. Soleymani Majd H,
    21. Rai V,
    22. Maldonado-Perez D,
    23. Jones S,
    24. Cerundolo V,
    25. Sauka-Spengler T,
    26. Yau C,
    27. Ahmed AA
    : The repertoire of serous ovarian cancer non-genetic heterogeneity revealed by single-cell sequencing of normal fallopian tube epithelial cells. Cancer Cell 37(2): 226-242.e7, 2020. DOI: 10.1016/j.ccell.2020.01.003
    OpenUrlCrossRefPubMed
  61. ↵
    1. Woodruff TK,
    2. Shea LD
    : The role of the extracellular matrix in ovarian follicle development. Reprod Sci 14(8 Suppl): 6-10, 2007. DOI: 10.1177/1933719107309818
    OpenUrlCrossRefPubMed
  62. ↵
    1. Dean M,
    2. Jin V,
    3. Russo A,
    4. Lantvit DD,
    5. Burdette JE
    : Exposure of the extracellular matrix and colonization of the ovary in metastasis of fallopian-tube-derived cancer. Carcinogenesis 40(1): 41-51, 2019. DOI: 10.1093/carcin/bgy170
    OpenUrlCrossRefPubMed
  63. ↵
    1. Cecconi S,
    2. Mauro A,
    3. Cellini V,
    4. Patacchiola F
    : The role of Akt signalling in the mammalian ovary. Int J Dev Biol 56(10-11-12): 809-817, 2012. DOI: 10.1387/ijdb.120146sc
    OpenUrlCrossRefPubMed
  64. ↵
    1. Hsu CF,
    2. Chen PC,
    3. Seenan V,
    4. Ding DC,
    5. Chu TY
    : Ovulatory follicular fluid facilitates the full transformation process for the development of high-grade serous carcinoma. Cancers (Basel) 13(3): 468, 2021. DOI: 10.3390/cancers13030468
    OpenUrlCrossRef
  65. ↵
    1. Rodgers RJ,
    2. Irving-Rodgers HF
    : Formation of the ovarian follicular antrum and follicular fluid. Biol Reprod 82(6): 1021-1029, 2010. DOI: 10.1095/biolreprod.109.082941
    OpenUrlCrossRefPubMed
  66. ↵
    1. Ratti M,
    2. Lampis A,
    3. Ghidini M,
    4. Salati M,
    5. Mirchev MB,
    6. Valeri N,
    7. Hahne JC
    : MicroRNAs (miRNAs) and long non-coding RNAs (lncRNAs) as new tools for cancer therapy: first steps from bench to bedside. Target Oncol 15(3): 261-278, 2020. DOI: 10.1007/s11523-020-00717-x
    OpenUrlCrossRefPubMed
  67. ↵
    1. Butler AE,
    2. Ramachandran V,
    3. Hayat S,
    4. Dargham SR,
    5. Cunningham TK,
    6. Benurwar M,
    7. Sathyapalan T,
    8. Najafi-Shoushtari SH,
    9. Atkin SL
    : Expression of microRNA in follicular fluid in women with and without PCOS. Sci Rep 9(1): 16306, 2019. DOI: 10.1038/s41598-019-52856-5
    OpenUrlCrossRefPubMed
    1. Liu HY,
    2. Zhang YY,
    3. Zhu BL,
    4. Feng FZ,
    5. Yan H,
    6. Zhang HY,
    7. Zhou B
    : miR-21 regulates the proliferation and apoptosis of ovarian cancer cells through PTEN/PI3K/AKT. Eur Rev Med Pharmacol Sci 23(10): 4149-4155, 2019. DOI: 10.26355/eurrev_201905_17917
    OpenUrlCrossRefPubMed
  68. ↵
    1. Chen SN,
    2. Chang R,
    3. Lin LT,
    4. Chern CU,
    5. Tsai HW,
    6. Wen ZH,
    7. Li YH,
    8. Li CJ,
    9. Tsui KH
    : MicroRNA in ovarian cancer: biology, pathogenesis, and therapeutic opportunities. Int J Environ Res Public Health 16(9): 1510, 2019. DOI: 10.3390/ijerph16091510
    OpenUrlCrossRefPubMed
  69. ↵
    1. Wang J,
    2. Chen D,
    3. He X,
    4. Zhang Y,
    5. Shi F,
    6. Wu D,
    7. Chen J,
    8. Zhang Y,
    9. Zhao F,
    10. Dou J
    : Downregulated lincRNA HOTAIR expression in ovarian cancer stem cells decreases its tumorgeniesis and metastasis by inhibiting epithelial-mesenchymal transition. Cancer Cell Int 15: 24, 2015. DOI: 10.1186/s12935-015-0174-4
    OpenUrlCrossRefPubMed
  70. ↵
    1. Ning L,
    2. Hu YC,
    3. Wang S,
    4. Lang JH
    : Altered long noncoding RNAs and survival outcomes in ovarian cancer: A systematic review and meta-analysis (PRISMA Compliant). Medicine (Baltimore) 97(32): e11481, 2018. DOI: 10.1097/MD.0000000000011481
    OpenUrlCrossRefPubMed
  71. ↵
    1. Adamczak R,
    2. Ukleja-Sokołowska N,
    3. Lis K,
    4. Dubiel M
    : Function of follicular cytokines: roles played during maturation, development and implantation of embryo. Medicina (Kaunas) 57(11): 1251, 2021. DOI: 10.3390/medicina57111251
    OpenUrlCrossRef
  72. ↵
    1. Lecker LSM,
    2. Berlato C,
    3. Maniati E,
    4. Delaine-Smith R,
    5. Pearce OMT,
    6. Heath O,
    7. Nichols SJ,
    8. Trevisan C,
    9. Novak M,
    10. McDermott J,
    11. Brenton JD,
    12. Cutillas PR,
    13. Rajeeve V,
    14. Hennino A,
    15. Drapkin R,
    16. Loessner D,
    17. Balkwill FR
    : TGFBI production by macrophages contributes to an immunosuppressive microenvironment in ovarian cancer. Cancer Res 81(22): 5706-5719, 2021. DOI: 10.1158/0008-5472.CAN-21-0536
    OpenUrlAbstract/FREE Full Text
  73. ↵
    1. Neophytou CM,
    2. Panagi M,
    3. Stylianopoulos T,
    4. Papageorgis P
    : The role of tumor microenvironment in cancer metastasis: molecular mechanisms and therapeutic opportunities. Cancers (Basel) 13(9): 2053, 2021. DOI: 10.3390/cancers13092053
    OpenUrlCrossRefPubMed
  74. ↵
    1. Hao B,
    2. Zhang J
    : miRNA-21 inhibition suppresses the human epithelial ovarian cancer by targeting PTEN signal pathway. Saudi J Biol Sci 26(8): 2026-2029, 2019. DOI: 10.1016/j.sjbs.2019.08.008
    OpenUrlCrossRefPubMed
  75. ↵
    1. Luo X,
    2. Xu J,
    3. Yu J,
    4. Yi P
    : Shaping immune responses in the tumor microenvironment of ovarian cancer. Front Immunol 12: 692360, 2021. DOI: 10.3389/fimmu.2021.692360
    OpenUrlCrossRefPubMed
  76. ↵
    1. Roberts TC,
    2. Langer R,
    3. Wood MJA
    : Advances in oligonucleotide drug delivery. Nat Rev Drug Discov 19(10): 673-694, 2020. DOI: 10.1038/s41573-020-0075-7
    OpenUrlCrossRefPubMed
  77. ↵
    1. Huang B,
    2. Liu C,
    3. Wu Q,
    4. Zhang J,
    5. Min Q,
    6. Sheng T,
    7. Wang X,
    8. Zou Y
    : Long non-coding RNA NEAT1 facilitates pancreatic cancer progression through negative modulation of miR-506-3p. Biochem Biophys Res Commun 482(4): 828-834, 2017. DOI: 10.1016/j.bbrc.2016.11.120
    OpenUrlCrossRefPubMed
  78. ↵
    1. Tan HY,
    2. Wang C,
    3. Liu G,
    4. Zhou X
    : Long noncoding RNA NEAT1-modulated miR-506 regulates gastric cancer development through targeting STAT3. J Cell Biochem 120(4): 4827-4836, 2019. DOI: 10.1002/jcb.26691
    OpenUrlCrossRefPubMed
  79. ↵
    1. Mahato RK,
    2. Bhattacharya S,
    3. Khullar N,
    4. Sidhu IS,
    5. Reddy PH,
    6. Bhatti GK,
    7. Bhatti JS
    : Targeting long non-coding RNAs in cancer therapy using CRISPR-Cas9 technology: A novel paradigm for precision oncology. J Biotechnol 379: 98-119, 2024. DOI: 10.1016/j.jbiotec.2023.12.003
    OpenUrlCrossRefPubMed
  80. ↵
    1. Ibraheem Shelash Al-Hawari S,
    2. Abdalkareem Jasim S,
    3. M A Altalbawy F,
    4. Bansal P,
    5. Kaur H,
    6. Hjazi A,
    7. Sani Mohammed J,
    8. Deorari M,
    9. Alsaadi SB,
    10. Hussein Zwamel A
    : An overview of lncRNA NEAT1 contribution in the pathogenesis of female cancers; from diagnosis to therapy resistance. Gene 933: 148975, 2025. DOI: 10.1016/j.gene.2024.148975
    OpenUrlCrossRefPubMed
  81. ↵
    1. Han YH,
    2. Wang Y,
    3. Lee SJ,
    4. Mao YY,
    5. Jiang P,
    6. Sun HN,
    7. Jin MH,
    8. Kwon T
    : Identification of hub genes and upstream regulatory factors based on cell adhesion in triple-negative breast cancer by integrated bioinformatical analysis. Anticancer Res 43(7): 2951-2964, 2023. DOI: 10.21873/anticanres.16466
    OpenUrlAbstract/FREE Full Text
  82. ↵
    1. Han YH,
    2. Ma DY,
    3. Lee SJ,
    4. Mao YY,
    5. Sun SY,
    6. Jin MH,
    7. Sun HN,
    8. Kwon T
    : Bioinformatics analysis of novel targets for treating cervical cancer by immunotherapy based on immune escape. Cancer Genomics Proteomics 20(4): 383-397, 2023. DOI: 10.21873/cgp.20390
    OpenUrlAbstract/FREE Full Text
  83. ↵
    Advances in cmv management: fomivirsen (Vitravene) approved. Proj Inf Perspect 26: 7, 1998.
    OpenUrl
  84. ↵
    1. Crooke ST
    : Vitravene – another piece in the mosaic. Antisense Nucleic Acid Drug Dev 8(4): vii-viii, 1998. DOI: 10.1089/oli.1.1998.8.vii
    OpenUrlCrossRefPubMed
  85. ↵
    1. Borah P,
    2. Deb PK,
    3. Al-Shar’i NA,
    4. Dahabiyeh LA,
    5. Venugopala KN,
    6. Singh V,
    7. Shinu P,
    8. Hussain S,
    9. Deka S,
    10. Chandrasekaran B,
    11. Jaradat DMM
    : Perspectives on RNA vaccine candidates for COVID-19. Front Mol Biosci 8: 635245, 2021. DOI: 10.3389/fmolb.2021.635245
    OpenUrlCrossRefPubMed
    1. Hammond SM,
    2. Aartsma-Rus A,
    3. Alves S,
    4. Borgos SE,
    5. Buijsen RAM,
    6. Collin RWJ,
    7. Covello G,
    8. Denti MA,
    9. Desviat LR,
    10. Echevarría L,
    11. Foged C,
    12. Gaina G,
    13. Garanto A,
    14. Goyenvalle AT,
    15. Guzowska M,
    16. Holodnuka I,
    17. Jones DR,
    18. Krause S,
    19. Lehto T,
    20. Montolio M,
    21. Van Roon-Mom W,
    22. Arechavala-Gomeza V
    : Delivery of oligonucleotide-based therapeutics: challenges and opportunities. EMBO Mol Med 13(4): e13243, 2021. DOI: 10.15252/emmm.202013243
    OpenUrlCrossRefPubMed
  86. ↵
    1. Zhang S,
    2. Cheng Z,
    3. Wang Y,
    4. Han T
    : The risks of miRNA therapeutics: in a drug target perspective. Drug Des Devel Ther 15: 721-733, 2021. DOI: 10.2147/DDDT.S288859
    OpenUrlCrossRefPubMed
  87. ↵
    1. Liu BR,
    2. Chen CW,
    3. Huang YW,
    4. Lee HJ
    : Cell-penetrating peptides for use in development of transgenic plants. Molecules 28(8): 3367, 2023. DOI: 10.3390/molecules28083367
    OpenUrlCrossRefPubMed
  88. ↵
    1. Mercer TR,
    2. Munro T,
    3. Mattick JS
    : The potential of long noncoding RNA therapies. Trends Pharmacol Sci 43(4): 269-280, 2022. DOI: 10.1016/j.tips.2022.01.008
    OpenUrlCrossRef
  89. ↵
    1. Shen KY,
    2. Dai XL,
    3. Li S,
    4. Huang F,
    5. Chen LQ,
    6. Luo P,
    7. Qu XL
    : Specific expression profile of follicular fluid-derived exosomal microRNAs in patients with diminished ovarian reserve. BMC Med Genomics 16(1): 308, 2023. DOI: 10.1186/s12920-023-01756-9
    OpenUrlCrossRefPubMed
  90. ↵
    1. Ito M,
    2. Miyata Y,
    3. Okada M
    : Current clinical trials with non-coding RNA-based therapeutics in malignant diseases: A systematic review. Transl Oncol 31: 101634, 2023. DOI: 10.1016/j.tranon.2023.101634
    OpenUrlCrossRef
    1. Guo Y,
    2. Zhang H,
    3. Xie D,
    4. Hu X,
    5. Song R,
    6. Zhu L
    : Non-coding RNA NEAT1/miR-214-3p contribute to doxorubicin resistance of urothelial bladder cancer preliminary through the Wnt/β-catenin pathway. Cancer Manag Res 10: 4371-4380, 2018. DOI: 10.2147/CMAR.S171126
    OpenUrlCrossRefPubMed
    1. Ding N,
    2. Wu H,
    3. Tao T,
    4. Peng E
    : NEAT1 regulates cell proliferation and apoptosis of ovarian cancer by miR-34a-5p/BCL2. Onco Targets Ther 10: 4905-4915, 2017. DOI: 10.2147/OTT.S142446
    OpenUrlCrossRefPubMed
    1. Wang L,
    2. Qu P,
    3. Yin W,
    4. Sun J
    : Lnc-NEAT1 induces cell apoptosis and inflammation but inhibits proliferation in a cellular model of hepatic ischemia/reperfusion injury. J Int Med Res 49(3): 300060519887251, 2021. DOI: 10.1177/0300060519887251
    OpenUrlCrossRefPubMed
    1. Chen J,
    2. Luo X,
    3. Liu M,
    4. Peng L,
    5. Zhao Z,
    6. He C,
    7. He Y
    : Silencing long non-coding RNA NEAT1 attenuates rheumatoid arthritis via the MAPK/ERK signalling pathway by downregulating microRNA-129 and microRNA-204. RNA Biol 18(5): 657-668, 2021. DOI: 10.1080/15476286.2020.1857941
    OpenUrlCrossRefPubMed
    1. Sun C,
    2. Li S,
    3. Zhang F,
    4. Xi Y,
    5. Wang L,
    6. Bi Y,
    7. Li D
    : Long non-coding RNA NEAT1 promotes non-small cell lung cancer progression through regulation of miR-377-3p-E2F3 pathway. Oncotarget 7(32): 51784-51814, 2016. DOI: 10.18632/oncotarget.10108
    OpenUrlCrossRefPubMed
    1. Yi K,
    2. Cui X,
    3. Liu X,
    4. Wang Y,
    5. Zhao J,
    6. Yang S,
    7. Xu C,
    8. Yang E,
    9. Xiao M,
    10. Hong B,
    11. Fang C,
    12. Kang C,
    13. Tan Y,
    14. Wang Q
    : PTRF/Cavin-1 as a novel RNA-binding protein expedites the NF-κB/PD-L1 axis by stabilizing lncRNA NEAT1, contributing to tumorigenesis and immune evasion in glioblastoma. Front Immunol 12: 802795, 2022. DOI: 10.3389/fimmu.2021.802795
    OpenUrlCrossRefPubMed
    1. Wang Y,
    2. Wang C,
    3. Chen C,
    4. Wu F,
    5. Shen P,
    6. Zhang P,
    7. He G,
    8. Li X
    : Long non-coding RNA NEAT1 regulates epithelial membrane protein 2 expression to repress nasopharyngeal carcinoma migration and irradiation-resistance through miR-101-3p as a competing endogenous RNA mechanism. Oncotarget 8(41): 70156-70171, 2017. DOI: 10.18632/oncotarget.19596
    OpenUrlCrossRefPubMed
    1. Yang J,
    2. Nie J,
    3. Ma X,
    4. Wei Y,
    5. Peng Y,
    6. Wei X
    : Targeting PI3K in cancer: mechanisms and advances in clinical trials. Mol Cancer 18(1): 26, 2019. DOI: 10.1186/s12943-019-0954-x
    OpenUrlCrossRefPubMed
    1. Glaviano A,
    2. Foo ASC,
    3. Lam HY,
    4. Yap KCH,
    5. Jacot W,
    6. Jones RH,
    7. Eng H,
    8. Nair MG,
    9. Makvandi P,
    10. Geoerger B,
    11. Kulke MH,
    12. Baird RD,
    13. Prabhu JS,
    14. Carbone D,
    15. Pecoraro C,
    16. Teh DBL,
    17. Sethi G,
    18. Cavalieri V,
    19. Lin KH,
    20. Javidi-Sharifi NR,
    21. Toska E,
    22. Davids MS,
    23. Brown JR,
    24. Diana P,
    25. Stebbing J,
    26. Fruman DA,
    27. Kumar AP
    : PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer. Mol Cancer 22(1): 138, 2023. DOI: 10.1186/s12943-023-01827-6
    OpenUrlCrossRef
    1. Słomka A,
    2. Wang B,
    3. Mocan T,
    4. Horhat A,
    5. Willms AG,
    6. Schmidt-Wolf IGH,
    7. Strassburg CP,
    8. Gonzalez-Carmona MA,
    9. Lukacs-Kornek V,
    10. Kornek MT
    : Extracellular vesicles and circulating tumour cells - complementary liquid biopsies or standalone concepts? Theranostics 12(13): 5836-5855, 2022. DOI: 10.7150/thno.73400
    OpenUrlCrossRefPubMed
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Anticancer Research: 45 (3)
Anticancer Research
Vol. 45, Issue 3
March 2025
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NEAT1 in Ovarian Cancer: A Key Regulator of Tumor Progression, Follicular Fluid Dynamics, and Therapeutic Resistance
YUN-CHIEH WU, MIN-HSI KU, WEI-LUN HUANG, LUIZA DIAS, CHI-WEI CHEN
Anticancer Research Mar 2025, 45 (3) 825-842; DOI: 10.21873/anticanres.17472

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NEAT1 in Ovarian Cancer: A Key Regulator of Tumor Progression, Follicular Fluid Dynamics, and Therapeutic Resistance
YUN-CHIEH WU, MIN-HSI KU, WEI-LUN HUANG, LUIZA DIAS, CHI-WEI CHEN
Anticancer Research Mar 2025, 45 (3) 825-842; DOI: 10.21873/anticanres.17472
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  • Article
    • Abstract
    • Introduction
    • Role of NEAT1 in Ovarian Cancer Progression
    • Role of FF in Ovarian Cancer
    • Therapeutic Prospects for Targeting NEAT1 in Ovarian Cancer
    • Future Directions
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Keywords

  • NEAT1
  • ovarian cancer
  • long non-coding RNA (lncRNA)
  • chemoresistance
  • tumor progression
  • epithelial-to-mesenchymal transition (EMT)
  • PI3K/AKT/mTOR pathway
  • competing endogenous RNA (ceRNA)
  • miRNA regulation
  • therapeutic target
  • review
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