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Review

The “Road” to Malignant Transformation from Endometriosis to Endometriosis-Associated Ovarian Cancers (EAOCs): An mTOR-Centred Review

by
Radwa Hablase
1,2,
Ioannis Kyrou
3,4,5,6,7,8,9,
Harpal Randeva
3,4,5,6,
Emmanouil Karteris
1 and
Jayanta Chatterjee
1,2,*
1
College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB83PH, UK
2
Academic Department of Gynaecological Oncology, Royal Surrey NHS Foundation Trust Hospital, Guildford GU2 7XX, UK
3
Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK
4
Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
5
Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK
6
Centre for Sport, Exercise and Life Sciences, Research Institute for Health & Wellbeing, Coventry University, Coventry CV1 5FB, UK
7
Aston Medical School, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK
8
College of Health, Psychology and Social Care, University of Derby, Derby DE22 1GB, UK
9
Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, 11855 Athens, Greece
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(11), 2160; https://doi.org/10.3390/cancers16112160
Submission received: 19 April 2024 / Revised: 29 May 2024 / Accepted: 1 June 2024 / Published: 6 June 2024
(This article belongs to the Section Cancer Causes, Screening and Diagnosis)

Abstract

:

Simple Summary

Ovarian cancer is the eighth most common cancer among women globally and 207,000 women die every year, whereas endometriosis affects around 10% of women of reproductive age. Endometriosis-associated ovarian cancers (EAOCs) frequently arise from ectopic endometrium (i.e., the presence of endometrial/stromal cells outside the uterine cavity) in the ovary. Over the past decades, there has been an increasing volume of evidence to suggest that signalling centred around the mechanistic target of rapamycin (mTOR) plays an important role in cellular functions such as proliferation, survival, and autophagy. This review summarizes the current landscape of mTOR signalling in these gynaecological malignancies and the emerging therapeutic options.

Abstract

Ovarian cancer is an umbrella term covering a number of distinct subtypes. Endometrioid and clear-cell ovarian carcinoma are endometriosis-associated ovarian cancers (EAOCs) frequently arising from ectopic endometrium in the ovary. The mechanistic target of rapamycin (mTOR) is a crucial regulator of cellular homeostasis and is dysregulated in both endometriosis and endometriosis-associated ovarian cancer, potentially favouring carcinogenesis across a spectrum from benign disease with cancer-like characteristics, through an atypical phase, to frank malignancy. In this review, we focus on mTOR dysregulation in endometriosis and EAOCs, investigating cancer driver gene mutations and their potential interaction with the mTOR pathway. Additionally, we explore the complex pathogenesis of transformation, considering environmental, hormonal, and epigenetic factors. We then discuss postmenopausal endometriosis pathogenesis and propensity for malignant transformation. Finally, we summarize the current advancements in mTOR-targeted therapeutics for endometriosis and EAOCs.

Graphical Abstract

1. Introduction

Ovarian cancer is a heterogeneous disease covering a broad range of subtypes and including peritoneal and fallopian tube tumours [1]. The World Health Organization (WHO) and the International Federation of Gynecology and Obstetrics (FIGO), in their early reports, categorized ovarian cancer based on microscopic appearance and morphological features [2,3]. Of these, the most prevalent is ovarian carcinoma, a term synonymous for epithelial ovarian cancers (EOCs). To date, the morphological appearance remains the mainstay of EOCs’ sub-classification, with several histopathological types falling under EOCs, including high-grade serous (HGSC, 70%), endometrioid (EC, 10%), clear-cell (CCC, 6–10%), low-grade serous (LGSC, 5%), and mucinous carcinoma (MC, 3–4%) [4,5]. Each of these has a different precursor lesion, prognosis and biological behaviour [6,7,8]. Of note, the precursor lesions of endometrioid and clear-cell adenocarcinoma have been linked to endometriosis and are collectively described as endometriosis-associated ovarian carcinomas (EAOCs) [6,7,8].
Endometriosis is a benign, inflammatory condition characterized by the presence of functional endometrial glands outside the uterine cavity [9,10]. It mainly affects women in their reproductive years, with a prevalence of 5–10%. Symptoms may include dysmenorrhea, chronic pelvic pain, dyspareunia, dyschezia, and infertility [11]. Although less common, endometriosis has been reported in 2–4% of postmenopausal women [12]. Overlapping symptoms with various other conditions and the absence of symptoms in some women suggest that these figures may potentially be an underrepresentation of the true incidence of the disease [13]. Several hypotheses have been suggested to explain the pathogenesis of endometriosis. The most widely accepted theory, Sampson’s retrograde menstruation, stipulates that endometriosis originates from a retrograde reflux of viable endometrial tissue into the peritoneal cavity during menstruation [9,10]. Whilst this theory may explain endometriosis in premenopausal women, it remains uncertain whether endometriosis in postmenopausal women represents a continuation of premenopausal endometriosis or arises as a “de novo” development [14]. Hormonal replacement therapy (HRT) can potentially increase the risk of endometriosis reactivation in this age group [15].
The interaction of the endometrial cells with the surrounding microenvironment at the ectopic locations modulates their cellular response. Eventually, endometriotic cells acquire cancer-like characteristics such as increased cellular invasiveness and adhesiveness, resistance to cell death, altered immune function and metabolic reprogramming [10]. These survival capabilities enable endometriosis to implant, grow, metastasize, and invade other tissues [10]. The association between endometriosis and ovarian cancer has been an area of extensive research. Several clinical and histological findings have reported the co-existence of endometriosis with clear-cell or endometrioid carcinomas [16]. Notably, endometriosis is not a pre-cancerous condition but a benign disease with malignant propensity. Indeed, atypical endometriosis has been observed in a continuum from benign to malignant tumours, suggesting the malignant transformation potential of endometriosis. Moreover, similar cancer driver gene mutations and altered molecular pathways have been observed in both endometriosis and EAOCs [17,18,19,20,21,22].
One of the survival pathways implicated in the development and progression of endometriosis and its associated EAOCs is the mechanistic (formerly the mammalian) target of rapamycin (mTOR) [23]. mTOR is a protein serine/threonine kinase which belongs to the phosphatidylinositol-3 kinase-related kinases (PIKKs) family [24] and plays a crucial role in maintaining cellular homeostasis by adjusting the balance between the anabolic and catabolic processes in response to environmental conditions [25]. Upstream regulators of mTOR include growth factors, nutrients, cellular energy, oxygen status, and genotoxic stresses [23]. The major anabolic downstream targets of mTOR are components involved in protein translation, angiogenesis, and lipid and protein biosynthesis. Autophagy and apoptosis are catabolic pathways negatively regulated by mTOR [26,27]. The aberrant activation of this pathway appears to favour carcinogenesis through the upregulation of protein translation, lipid biosynthesis, and angiogenesis, in addition to the inhibition of autophagy and apoptosis [26,27,28].
This review discusses the mTOR signalling pathway and its role in tumorigenesis, with an emphasis on endometriosis and EAOC. We then evaluate the existing literature on postmenopausal endometriosis and its malignant transformation potential. Finally, we conclude with the current updates on mTOR as a therapeutic target in EAOCs.

2. mTOR Signalling Pathway and Its Role in Tumorigenesis

2.1. mTOR Complexes

The mTOR is found in two spatially and functionally distinct multiprotein complexes, namely mTORC1 and mTORC2 [29,30].
mTORC1 consists of mTOR (the catalytic subunit), raptor (regulatory-associated protein of mTOR), PRAS40 (proline rich AKT substrate 40 kDa), Deptor, and mLST8 (mammalian lethal with sec-13), also known as s GbetaL [30]. The activation of mTORC1 requires interactions with several binding partners and translocation of mTORC1 within the cell. Growth factors and amino acids activate mTORC1 through two different types of small GTPases-Ras-homolog enriched in brain (Rheb) and the Rag GTPases [31]. Amino acids cause Rag GTPase to switch to active conformation. Active Rag GTPase interacts with the mTORC1 subunit raptor, translocating the complex from the cytoplasm to the lysosomal membrane where Rheb resides [31]. Rheb binds directly to mTOR, inducing conformational changes, suggesting an allosteric mechanism for activating TORC1 [32]. Growth factors induce mTORC1 activation via the PI3K–AKT signalling pathway and the regulation of a small GTPase protein Rheb via the tuberous sclerosis complex (TSC1/TSC2), a potent negative regulator of mTORC1 [33]. PRAS40 inhibits mTORC1 and is found bound to the substrate binding site of raptor. When PRAS40 is phosphorylated by AKT, it dissociates from the mTORC1 complex, revealing the substrate binding site, allowing the binding and activation of mTORC1 substrates like ribosomal protein S6 kinase 1 (S6K1) and 4E-BP1 [34]. mLST8 stabilizes the active site of mTOR, but its precise function has not been defined yet [35].
The mTORC2 complex is comprised of mTOR, mLST8, rictor (raptor-independent companion of mTOR), mSIN1 (mammalian stress-activated protein kinase interacting protein 1), Protor-1 (protein observed with rictor-1), and Deptor [36]. The mechanism of mTORC2 activation, as well as its downstream signalling pathway(s) and partner protein interactions are not fully elucidated. However, SIN1 appears to stabilize and tether rictor to the mTOR-mLST8 core and plays a significant role in mTORC2 activity [36,37,38,39]. SIN1 further uses mLST8 as a platform for positioning its substrate-recruiting CRIM (conserved region in the middle) domain. mLST8 ablation in mice experiment led to a complete loss of mTORC2 activity, indicating its importance as a core component in the mTORC2 complex [37,39].
Deptor (DEP-domain containing mTOR-interacting protein) bound to mTOR suppresses its kinase activity in both mTORC1 and mTORC2 complexes. Deptor is also a substrate of the activated mTORC1 complex, facilitating its degradation [40]. Mechanistically, activated mTORC1 phosphorylates Deptor, marking it for ubiquitination. The tagged protein is then shuttled to the proteasome, the cellular machinery responsible for degrading proteins [41]. The dual role of Deptor as both an inhibitor of mTOR, and a substrate of activated mTORC1, positions the protein as a central player in determining the activity status of the mTOR pathway. Interestingly, Broadway et al. suggested the potential role of Deptor as a prognostic biomarker, since its upregulation appears to be positively correlated to better overall survival in ovarian cancer patients [23].

2.2. mTOR Pathway: Upstream Regulators and Downstream Effectors

One of the key upstream regulators of mTORC1 is the phosphatidylinositol 3-kinase (PI3K)–AKT pathway. Growth factor-activated receptor tyrosine kinase (RTK) promotes PI3K activation leading to the phosphorylation of phosphatidylinositol-4,5-phosphate (PIP2) to phosphatidylinositol-3,4,5-phosphate (PIP3), subsequently activating AKT. Active AKT promotes mTORC1 action in two ways: (1) reducing the interaction of proline-rich AKT substrate 40 kDa (PRAS40) with mTORC1 and (2) phosphorylating and inactivating the tuberous sclerosis complex (TSC1/TSC2) (also called hamartin and tuberin) [42,43]. Within the complex, TSC2 acts as a GTPase-activating protein (GAP) for the Rheb GTPase and is stabilized by TSC1. TSC2 inactivation by AKT-dependent phosphorylation destabilizes TSC2 and disrupts its interaction with TSC1, thus relieving its inhibitory constraint on Rheb [44]. The GTP-bound form of Rheb directly interacts with mTORC1 and stimulates its kinase activity [44]. The tumour suppressor protein phosphatase and tensin homolog (PTEN) reverses PIP3 to PIP2 and antagonizes the PI3K–AKT mTOR pathway [43]. Nutrients and cellular energy levels further regulate mTORC1 activity through different mechanisms and convergent pathways (Figure 1). Downstream effectors of mTORC1 include eukaryotic translation initiation factor 4E-binding protein (4EBP), p70 S6 kinase (S6K), and UNC-51-like kinase (ULK1) [45].
mTORC2 is less sensitive to nutrients and energy levels and more responsive to insulin and growth factors. The activation mechanism of mTORC2 is proposed to follow two steps. First, growth factors induce the initial partial activation of AKT on Thr308. This activation is sufficient to directly phosphorylate SIN1 within the mTORC2 complex, thereby enhancing its kinase activity. Subsequently, the increased kinase activity of mTORC2 facilitates the full activation of AKT by phosphorylating it at Ser473 [45,46]. The main substrates of mTORC2 are members of the AGC kinases, including AKT, (protein kinase C) PKC, and (serum- and glucocorticoid-inducible kinase 1) SGK-1 [47].

2.3. mTOR Pathway Role in Tumorigenesis

The mTOR pathway is a key player in the metabolic reprogramming of cancer cells. Both normal and cancer cells metabolize nutrients, mainly glucose, to produce energy in the form of ATP. There are two ways of producing energy: The first is through glycolysis, an anaerobic process which does not require oxygen [48]. The second is via respiration in the mitochondria, which requires oxygen and produces much more energy. In order to gain access to nutrients under a hypoxic tumour microenvironment, the pathway mediates a shift from oxidative phosphorylation in the mitochondria to glycolysis [49]. The total number of ATPs produced through glycolysis is far less than through oxidative phosphorylation. Notably, the activation of mTOR increases GLUT1 expression, a membrane protein that facilitates the transport of glucose into the cell, and HK2 (an enzyme involved in the nine-step glycolysis reaction), subsequently leading to an increase in the glycolysis rate [50]. Moreover, cancer cells increase their de novo production of lipids to generate ATPs. The de novo lipogenesis is mainly regulated at the transcriptional level by activating regulatory element-binding proteins (SREBPs). SREBPs are present as inactive precursors in the endoplasmic reticulum (ER), whilst upon activation, they translocate to the Golgi apparatus, where they undergo proteolytic cleavage processing, releasing mature, transcriptionally active SREBPs. The mature SREBPs translocate to the nucleus and bind to the promoter regions of target genes, involved in de novo lipid biosynthesis. The activation of SREBP1, a specific isoform of SREBPs, involves the ribosomal protein S6 kinase beta-1 (S6K1) activation [51,52].
A recognized downstream effector of the mTOR pathway is the eukaryotic initiation factor 4E binding protein-1 (4E-BP1). Upon phosphorylation, it dissociates from the mRNA cap-binding protein eukaryotic translation initiation factor 4E (eIF4E) and promotes protein synthesis required for cell growth [53]. mTOR phosphorylation of the ribosomal protein S6K1 stimulates protein translation, which is required for cell growth and G1/S cell cycle progression. Subsequently, the downregulation of the mTOR pathway, downregulates cyclin/CDK complexes, particularly cyclin D1 and CDK4, and blocks the cell cycle in the late G1/S phase [54,55].
Autophagy is defined as the intracellular lysosomal degradation and recycling of cell organelles and misfolded proteins. The function and activation of autophagy-related genes is tightly regulated by nutrient supply (via mTOR), energy availability (via AMP-activated protein kinase AMPK), and stress (via hypoxia-inducible factors HIFs) [28,56]. The regulatory mechanisms of autophagy significantly overlap with signalling pathways associated with tumorigenesis. Notably, tumour suppressor genes like PTEN, which inhibit mTOR signalling, act as facilitators of autophagic processes. Conversely, oncogenic entities, including PI3K, which amplify mTOR signalling, attenuate autophagic activity [57,58]. Under nutrient-rich conditions, mTORC1 inhibits autophagy through the regulation of a protein complex composed of unc-51-like kinase 1 (ULK1). Conversely, energy starvation activates the 5′-AMP-activated protein kinase (AMPK) pathway, which phosphorylates ULK1 and initiates autophagy [28].
Autophagy, in general, can serve as a cell survival or cell death mechanism, and its role in cancer seems ambivalent [56,59]. Both induction and inhibition can be pro- or anti-tumorigenic. When cancer is growing, hypoxia and starvation upregulate autophagy to maintain the nutrient abundance required for cancer progression. Furthermore, it enables tumour cells to endure the chemotherapy-induced oxidative stress and enter dormancy, resulting in chemotherapy resistance and cancer recurrence [60].

3. The role of mTOR Pathway in Endometriosis and Endometriosis-Associated Ovarian Cancers (EAOCs)

3.1. Epidemiology and Pathogenesis of Endometriosis

Despite the clinical acceptance of Sampson’s retrograde menstruation theory, several other hypotheses regarding the pathogenesis of endometriosis have been suggested [61]. The coelomic metaplasia theory proposed a metaplastic transition of mesothelial cells into ectopic endometrium [62]. Some authors theorized a differentiation process of mesenchymal cells, activated by chemicals released from the degenerating endometrium which reaches the abdominal cavity [63]. The stem cell theory also assumes a differentiation process of pluripotent stem cells, which, under certain circumstances, gives rise to endometrial cells [64].
Endometrial tissue outside the uterine cavity is the hallmark of endometriosis. When the endometrial tissue lies within the myometrium, it is called adenomyosis. Adenomyosis is a benign gynaecological disease often associated with pelvic pain and infertility [65]. Despite the clinical differences between endometriosis and adenomyosis, the two conditions may actually represent two phenotypes of a single disease [65].
Diagnosis of endometriosis is currently clinical and relies on imaging and visualizing endometriotic lesions during laparoscopy. Three different forms of endometriosis exist, namely peritoneal, ovarian, and deeply infiltrating lesions (DIE). Peritoneal and ovarian implants can be white, red, or black lesions. The red lesions are highly vascular and represent early disease while the white lesions are old fibrotic scars. The black lesions are essentially enclosed implants with intraluminal debris of tissue breakdown [9,62]. Several classifications and staging reporting systems have been developed [66]. The most clinically accepted is the Revised American Fertility Society (rAFS)/Revised American Society for Reproductive Medicine (rASRM) classification [67]. The rASRM staging system categorizes endometriosis into four stages based on the extent and severity of the disease. These stages range from minimal (Stage I) to mild (Stage II), moderate (Stage III), and severe (Stage IV). This classification considers factors such as the location and depth of endometrial implants, the presence of adhesions, and the involvement of other pelvic structures [67]. The European Society of Human Reproduction and Embryology (ESHRE) recommends histological confirmation of endometriosis as a standard part of the diagnostic workup, with a positive identification of endometrial-like glands and/or stroma within the biopsied samples [68,69].
Although normal and ectopic endometrium are histologically similar, endometriotic lesions show a dysregulated response to ovarian steroids [70,71]. Oestrogen (E2) and progesterone are the master regulators of endometrial tissue. Each hormone regulates the expression of hundreds of genes during various phases of the menstrual cycle. In eutopic endometrium, E2 induces epithelial proliferation during the proliferative phase of the cycle, and then progesterone (P4) inhibits E2-induced proliferation during the secretory phase. E2-induced protein and DNA synthesis in endometrial tissue is mediated via the mTOR pathway [72]. Choi et al. demonstrated a higher expression level of phosphorylated p70S6K during the early proliferative phase compared to the secretory phase in normal endometrial cells. This higher expression level was also seen in cultured endometrial cells with oestrogen alone compared to those treated with oestrogen and progesterone. However, the expression levels remained unchanged in cultured ectopic endometrium with oestrogen and progesterone [73]. Endometriotic lesions, in general, are distinctive in two ways: (i) high levels of local oestrogen production and (ii) progesterone resistance. The high level of local oestrogen is attributed to the presence of a full complement of enzymes that convert androgens into oestrogens, adding to the proliferative effect of the circulating oestrogen on the endometriotic tissues [74]. Progesterone and its receptor isoforms, PR-A and PR-B, also have established roles in endometriosis. Several causes of progesterone resistance have been postulated, including congenital “preconditioning”, genetics, and environmental causes. Progesterone resistance results into a pro-inflammatory phenotype. Subsequently, repetitive chronic inflammation increases progesterone resistance. Of note, the eutopic endometrium in women with endometriosis shows a degree of progesterone resistance [9,70].

3.2. mTOR Pathway Aberrations in Endometriosis and Endometriosis-Associated Ovarian Cancers (EAOCs)

Over the past decade, cumulative evidence has implicated certain intracellular signalling pathways dysregulation in the molecular pathogenesis of endometriosis [71]. The mTOR pathway has been extensively studied as a potential pathway underpinning the initiation and development of endometriosis [75]. Eutopic endometrium appears to play a role in the development of endometriosis [76]. In an early study by Cinar et al., it was shown that AKT activity was elevated in both the eutopic and ectopic endometrium of women with endometriosis, with endometriotic glandular cells demonstrating significantly higher levels of AKT activity when compared to the normal endometrium [77]. A recent transcriptome meta-analysis comparing the eutopic endometrium of women with stage III–IV endometriosis to normal endometrium from healthy counterparts demonstrated the enrichment of the PI3K, AKT, mTOR, and TGF signalling pathways [78].
Indeed, AKT hyperactivity plays a primary role in the development of endometriosis. Kim et al. showed that uterine cells lacking PTEN developed more endometriotic lesions compared to those with intact PTEN in vivo. Furthermore, a significant reduction in endometriotic lesion numbers was noted when (PRcre/+Ptenf/+) ovariectomized mice with surgically induced endometriosis were treated with the AKT inhibitor MK-2206 [79]. PTEN expression in normal endometrium is subjected to progesterone control. As progesterone secretion increases towards the second half of the menstrual cycle (the secretory phase), PTEN expression increases. [80]. Autophagy homeostasis is detrimental to endometriotic cells; whilst moderate autophagic response acts as a housekeeping and survival mechanism, the extensive activation of autophagy results in autophagic cell death [81]. Endometriotic cells are progesterone-resistant and hence have constantly suppressed levels of PTEN, irrespective of the menstrual cycle phase [80]. Choi et al. demonstrated an inverse correlation between p70S6K (downstream effector of the PI3K/AKT/mTOR pathway) and LC3-II (autophagic cell markers), indicating the negative impact of the mTOR pathway activation on autophagy [73]. A constant expression of p70S6K and LC3-II in the endometriotic cells, irrespective of the menstrual cycle phase, was also observed in the same study [73,82].
Endometriosis is primarily an oestrogen-dependent condition. At the molecular level, oestrogen biological effects are mediated via two types of receptors (ERs): nuclear (ERα and ERβ) and the membrane receptor G protein-coupled oestrogen receptor 1 (also known as GPER or GPR30) [83,84]. The classic oestrogen signalling pathway is mediated via ERα and ERβ receptors, which, upon activation, are translocated to the nucleus to modulate the transcription of target genes. ERβ receptors are overexpressed in endometriotic tissues compared to normal endometrium, whilst ERα has significantly lower levels of expression [74]. ERβ directly induces Ras-like oestrogen-regulated growth inhibitor (RERG) gene expression, consequently enhancing the proliferative activity of endometriosis. ERβ also suppresses ERα gene expression, inhibiting its mediated progesterone receptor (PR) expression. The full spectrum of ERβ functions is probably more intricate, considering the notably heightened levels of ERβ found in both nuclear and cytoplasmic locations within endometriotic tissues [85]. Beyond the genomic slow mechanism, oestrogen also triggers a non-genomic rapid effect through its membrane receptor (GBER). This receptor can induce the transactivation of the epidermal growth factor receptor (EGFR), subsequently activating various downstream effectors, including PI3K [86]. Moreover, the expression of GBER has been observed to be influenced by stress hormones and inflammation, which are hallmark features of the endometriosis microenvironment [87]. The GPER agonist known as G-1 has been shown to inhibit proliferation and promote apoptosis in endometrial stromal cells, indicating its potential use in the treatment of endometriosis [88].
As aforementioned, endometriosis is not a pre-cancerous condition and is better described as a benign disease with malignant potential, with a malignant transformation of endometriosis occurring in about 1–2% of the patients [6,89,90]. Ultimately, those with endometriosis face a heightened risk of developing ovarian cancer, with odds ratios ranging from 1.3 to 1.9 [91,92]. This means that the overall risk of developing ovarian cancer in those with endometriosis is 1.8%, compared to 1.31% in the general population [93].
Ovarian cancers developing in endometriosis are far more likely to be clear-cell or endometrioid adenocarcinoma than any other histological subtypes[6,94]. Criteria to define tumours as EAOCs were first described by Samson in 1925 and later refined by Scot, stating that benign endometriosis should be contiguous to the cancer tissue with a histologically proven transition to cancer [95]. Since then, several retrospective and epidemiological studies have reported the concurrent presence of endometriosis adjacent to the malignant tumour in a continuum from benign to malignant in clear-cell and endometrioid adenocarcinomas [96,97]. Although clear-cell and endometrioid subtypes are often grouped as EAOCs, a histogenesis dichotomy has been suggested. It has been proposed that the clear-cell subtype is more likely to arise from endometriosis as its precursor lesion, while the endometrioid subtype may result from Müllerian metaplasia. However, the molecular changes underlying the development of the two subtypes have shown commonalities, particularly regarding mTOR dysregulation. Further investigation into molecular aberrations in these two subtypes is warranted before affirming such a dichotomy [98].
The concept of “atypical endometriosis” evolved over time, describing a non-invasive intermediate stage characterized by cytological atypia and architectural disorganization [99]. The presence of atypical endometriosis adjacent to the tumour mass in continuation with benign endometrium led to the belief that it may represent early stages of malignant transformation [6,91,100,101]. Gabriele et al. suggested a clinical treatment algorithm based on the presence or absence of atypical endometriosis [102]. However, the presence of cancer driver genes’ mutations in seemingly normal endometriotic tissue adjacent to the tumour without histological atypia underscores the urgency of comprehending the molecular pathways driving the tumorigenesis of endometriosis (Table 1) [103,104,105].
Endometriotic lesions also harbour cancer driver mutations such as PIK3CA, PTEN, ARID1A, KRAS, PPP2R1A, and β-catenin (CTNNB1) (Table 1). These mutations are implicated in the malignant transformation potential of endometriosis in a complex interplay with the tumour microenvironment [18]. The PIK3CA gene encodes the p110α catalytic subunit of PI3K. Somatic alterations of PIK3CA through mutations or gene amplification result in the aberrant activation of the PI3K–AKT–mTOR signalling pathway [106]. PIK3CA mutants in ovarian cancers are seen at hotspot sites in exons 9 and 20 [106]. Yamamoto et al. reported identical PIK3CA mutations in the synchronous endometriotic epithelium in patients with ovarian clear cell carcinoma. These mutations were observed in both atypical and non-atypical endometriotic tissues, suggesting PIK3CA mutations as very early events in ovarian clear-cell carcinoma development [107,108]. Similar findings were demonstrated by Matsumoto et al. for both ovarian clear-cell and endometrioid subtypes [103]. Recently, a number of studies have shown PIK3CA mutations in eutopic endometrial glands in women with and without EAOCs and endometriosis, suggesting that these mutations may confer a survival advantage, allowing for a clonal expansion of these cells at the ectopic sites and are not sole direct driver of tumorigenesis. The low frequency of gene mutation in eutopic endometrium and in the benign endometriotic epithelium unrelated to ovarian clear-cell adenocarcinoma (OCCC) may only reflect sporadic PIK3CA mutations in endometriotic and eutopic endometrial glands [109,110,111].
Somatic PTEN mutations have been observed in the endometrium of women with endometriosis as well as in endometriosis and endometriosis-associated ovarian cancers [109,110,112], indicating that the inactivation of the PTEN tumour suppressor gene is an early event in the development of ovarian endometrioid and clear-cell adenocarcinoma [113,114].
ARID1A (AT-rich interaction domain 1A) is the largest subunit of the SWI/SNF (switch/sucrose non-fermentable) complex and plays an important role in chromatin remodelling and tumour suppression [115]. The mutation status of the AIRDA1A gene determines the protein expression level and progression to cancer [116,117,118]. The two alleles of the gene need to acquire loss-of-function mutations for a complete loss of protein expression and progression to cancer [119]. Therefore, ARID1A mutations demonstrated in endometriotic lesions adjacent to ovarian cancer and at distal sites vary in the resulting AIRD1A protein level. These findings support Knudson’s two-hit hypothesis, which proposes that the inactivation of both alleles of tumour suppressor genes is essential to cause a phenotypic change, leading to carcinogenesis [120]. ARID1A mutations are seen in ~50% of ovarian clear-cell cancers and ~30% of ovarian endometrioid carcinomas [116,121,122]. ARID1A inactivation alone is not enough to initiate carcinogenesis; additional concurrent genetic alterations, such as a mutation in PIK3CA or a PTEN deletion, are required to drive tumorigenesis into clear-cell or endometrioid carcinomas [107,122,123]. A concurrent loss of AIRD1A expression in both OCCCs and adjacent endometriotic epithelium were observed with a preservation of AIRD1A expression in distant endometriosis, implying its role in the malignant transformation of endometriosis. Interestingly, these mutations were observed in the adjacent histologically normal endometriotic tissues that did not necessarily show atypical features [104]. The ARID1A loss of expression and PIK3CA mutations coexisted frequently in a study by Yammato et al. and were not mutually exclusive [104]. In a conditional knockout mouse model, the double deletion of ARID1A and PTEN in the mouse ovarian surface epithelium led to the formation of ovarian endometrioid or undifferentiated carcinoma [124]. Collectively, these findings suggest that despite PTEN and PI3KCA mutations being early neoplastic transformations of endometriosis, it is not until multiple loss-of-function mutations of ARID1A, or a combination of oncogene and gene suppressor mutation co-exist, that complete cellular transition to malignancy takes place [109,125,126]. The direct or indirect inhibition of the PI3K/AKT/mTOR pathway leads to the synthetic lethality of ARID1A-deficient tumour cell clones [127,128].
Suda et al. demonstrated a recurrent occurrence of KRAS and PIK3CA mutations in both the endometriotic and normal endometrial epithelium. However, the frequency of these mutations in the endometriotic epithelium was much higher. The author proposed that endometrial tissues with KRAS mutations undergo retrograde transport to the ovarian surface. These specific KRAS mutations confer selective advantages, promoting endometriosis development and facilitating clonal expansion throughout the endometriotic lesion [129].
Cancer-associated mutations have been observed in deep infiltrating endometriosis (DIE), a type of endometriosis that rarely transforms into cancer, with a mere number of cases reported across the literature. This underscores the significant interplay among factors such as inflammatory reactions, hormone imbalances, and reactive oxygen species (ROS) in the pathogenesis of EAOCs, raising the question of whether somatic mutations in “cancer-associated genes” are sufficient for a malignant transformation [110,130]. Collectively, the activation of the mTOR pathway suppresses cell death. The ongoing insult in the endometriosis microenvironment through haem oxidative stress and hypoxia leads to the accumulation of genetic and epigenetic aberrations which eventually leads to cancer development [131,132,133,134].
The hypoxia-regulated gene network includes angiogenesis, inflammation, steroidogenesis, and metabolic switch. The activation of the hypoxia-inducible factor-1 alpha (HIF-1α) transcription factor is the most recognized pathway adopted by hypoxic cells in this harsh microenvironment [135]. Activated HIF-1α plays a crucial role in the adaptive responses of the cells to changes in oxygen through the transcriptional activation of over 100 downstream genes, which regulate vital biological processes required for survival and progression. The upregulation of ERβ and the downregulation of ERα observed in endometriosis is regulated at the transcriptional level by HIF-1α [136]. Hypoxia-induced angiogenesis in endometriosis is multifaceted, with HIF-1α expression postulated to increase a number of angiogenic factors, including vascular endothelial growth factor A (VEGF-A), leptin, IL-8, cysteine-rich protein 61 gene (CYR61), osteopontin (OPN), and fibroblast growth factor 9 (FGF9) [137,138,139]. The PI3K/AKT/mTOR signalling pathway contributes to the development of cancers by regulating HIF-1a activation; blocking the PI3K/AKT pathway inhibits HIF-1a expression and promotes its degradation [139,140].
Epigenetic regulation further modulates mTOR activity in EAOCs. For example, the IncRNA HCG11, a non-coding RNA, appears to suppress AKT/mTOR-mediated cell growth in ovarian cancer via the upregulation of PTEN activity, suggestive of an epigenetic modulation of mTOR [141]. Similarly, MFG-E8 siRNA, another non-coding mRNA, has been implicated in the AKT/mTOR/S6K signalling pathway in ovarian cancer cells [142]. Moreover, neighbouring cells in the growing cancer mass crosstalk through exosomes (i.e., extracellular double-membrane vesicles carrying regulating non-coding RNA which is introduced between cells), thus further regulating cellular activities, including mTOR regulation [143,144].
Table 1. Cancer driver mutations in endometriosis.
Table 1. Cancer driver mutations in endometriosis.
StudyYearEndometriosis LocationPatients’ Age
(Median/Range)/Menopausal Status
Endometriosis StagesEndometriosis MorphologySample SizeGene MutationMutation Frequency
Sato N et al. [113]2000OE 1Not mentionedAll stagesSolitary endometrial cysts of the ovary34PTEN 3OE 20%
Govatati S et al. [114]2013OEPremenopausalIII/IVBenign endometriosis32PTENOE/PE 53.10%
PE 2
Zou Y et al. [145]2018OE32 (21–50)not mentioned Benign ovarian endometrial cysts101KRAS 4, PPP2R1A 5, ARID1A 6
co-occurrence of KRAS and AIRD1A in one patient
OE 4%
Xiao W et al. [146]2012AE 7Not mentioned all stages Benign ovarian endometrial cysts.
Histologically atypical endometriosis adjacent to OCCC 8
13 AEARID1A (loss of function mutation) AE 38.5%
OE36 OE OE 19.4%
Samartzis EP et al. [117] 2014DIE 935 (25–42)All stagesBenign ectopic typical endometrial tissue22 DIEARID1A (loss of function mutation) DIE 5%
OE35 (19–48)20 OEOE 15%
PE31 (25–38)16 PEPE 0%
Borrelli GM et al. [147]2016DIEAll premenopausal; only one ovarian endometrioma in postmenopausal womanAll stagesBenign ectopic typical endometrial tissue25 DIEARID1A (loss of function mutation)DIE 36%
OE20 OEOE 30%
Chene G et al. [123]2015OENot mentioned--------Contiguous typical endometriosis to OCCC66 OEARID1A (loss of function mutation)OE 8%
CE 1018 CECE 44%
Anglesio MS et al. [110]2017DIE37 (23–51)--------Benign deep infiltrating endometriosis39Multiple somatic cancer driver mutations including ARID1A, PIK3CA 11, KRAS, and PPP2R1ADIE 26%
Suda K et al. [129]2018OEPre- and postmenopausal Not mentionedDiscovery cohort of 13 ovarian endometriomas; validation cohort of 94 ovarian endometriomas, all benign107Recurrent mutations in KRAS, PIK3CA, FBXW7 12 PPP2R1A, PIK3R1 13KRAS and PIK3CA most common recurrent mutations.
Yamamoto S et al. [104]2011CE---------------- Endometriosis adjacent to ARID1A deficient clear-cell carcinoma—typical and atypical endometriosis was included 23AIRD1AAE 100%
TE 1486%
Matsumoto T et al. [103]2015CE54.1 (22–8)--------Endometriosis contiguous to ovarian endometrioid (OEAC) 15 and clear-cell carcinoma (OCCC)49β-catenin (CTNNB1) 16
PIK3CA
β-catenin (CTNNB1) mutations in the OEAC contiguous endometriosis
TE 52.4%
AE 73.3%
OCCC contiguous endometriosis 0%
PIK3CA mutations in OEAC contiguous endometriosis
TE 25%
AE 40%
PIK3CA mutations in OCCC contiguous endometriosis
TE 14.3%
AE 75%
Yamamoto S et al. [108] 2011CE50.7 (41–58)-------Endometriosis adjacent to PIK3CA deficient OCCC- typical and atypical endometriosis was included10PIK3CATE 75%
AE 88%
1 OE = ovarian endometriosis, 2 PE = peritoneal endometriosis, 3 PTEN = phosphatase and tensin homolog, 4 KRAS = Kirsten Rat Sarcoma Viral Oncogene Homolog. 5 PPP2R1A = Protein Phosphatase 2 Regulatory Subunit Aalpha, 6 ARID1A = AT-rich interaction domain 1A, 7 AE = atypical endometriosis, 8 OCCC = ovarian clear-cell adenocarcinoma, 9 DIE = deep infiltrating endometriosis, 10 CE = contiguous endometriosis, 11 PIK3CA = Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunit Alpha,12 FBXW7 = F-Box and WD Repeat Domain Containing 7, 13 PIK3R1 = Phosphoinositide-3-Kinase Regulatory Subunit 1, 14 TE = typical endometriosis, 15 OEAC = ovarian endometrioid adenocarcinoma, 16 β-catenin (CTNNB1) = Catenin Beta-1.

4. Postmenopausal Endometriosis and the Risk of Malignant Transformation

As mentioned previously, endometriosis predominantly affects women in their reproductive years, yet has been observed in 2–4% of postmenopausal women [12]. Since the disease is oestrogen-dependent, the conventional understanding would anticipate a regression of endometriosis with the decline in oestrogen levels after menopause. However, oestrogen and progesterone receptors appear to remain equally expressed in pre- and postmenopausal women, indicating a potential for reactivation of the disease in the presence of appropriate stimulation [15]. The “oestrogen threshold” theory suggests that a certain level of oestrogen is required to re-activate the existing endometriosis [148].
HRT and obesity are exogenous and endogenous oestrogen sources, respectively. These can potentially increase the risk of endometriosis recurrence and cancer development, particularly clear-cell and endometrioid carcinoma [15]. Long-term use of oestrogen-only HRT, premenopausal hysterectomy, and previous history of endometriosis are all risk factors for a neoplastic transformation of endometriosis [149,150]. Tamoxifen, a selective oestrogen receptor modulator (SERM) with an agonist effect on endometrial tissue, can potentially have a similar effect on endometriosis [149].
Furthermore, endometriotic lesions express a full complement of enzymes required for oestrogen synthesis, suggesting local oestrogen production within the lesion’s microenvironment [151,152,153,154,155]. Aromatase and steroidogenic acute regulatory protein (StAR) are key players in local oestrogen production. High expression levels and enzyme activity have been demonstrated in cultured stromal cells from endometriotic lesions [154,155]. Whether endometriosis can develop de novo in this age group is unclear as there are a number of premenopausal women with asymptomatic endometriosis [14]. A case series of seven women who developed endometriosis ten years after the menopause supported the genetic and epigenetic theory of endometriosis development, i.e., endometriosis developed as a result of a cumulative series of genetic or epigenetic incidents [156].
Furthermore, menopause marks a significant shift in endocrine and immunological equilibrium, potentially influencing the relevance of genetic factors. Watrowski et al. demonstrated a significant association between single-nucleotide polymorphisms’ (SNPs) genetic variation of interleukin-8 (IL-8), a pro-inflammatory and pro-angiogenic chemokine often altered in endometriosis and cancers and implicated in the activation of the PI3K/Akt pathway, and EAOC [157].
Symptoms of postmenopausal endometriosis are non-specific and may include abdominal pain, vaginal bleeding, gastrointestinal symptoms, rectal bleeding, and ovarian masses [158]. However, this age group should be treated with high suspicion of malignant changes. The first-line treatment for women with postmenopausal endometriosis is surgical. Medical treatment may include aromatase inhibitors and, hypothetically, progesterone, although there are no reported cases on the use of progesterone in postmenopausal women [159,160]. Postmenopausal endometriosis is less active and less extensive than premenopausal endometriosis [158]. The disease is likely to present as ovarian endometriomas or deep infiltrating endometriosis, and the pattern of superficial peritoneal endometriosis is rarely seen in this age group [161].
A malignant transformation of endometriosis occurs in 1–2% of all cases; this risk increases with age [160,162]. Most EAOCs occur in perimenopausal women; a 2021 systematic review looking at postmenopausal women with a malignant transformation of endometriosis reported a mean age of 55.8 ± 8.6 years with almost two-thirds of these patients reporting a previous personal history of endometriosis [149]. A malignant transformation of endometriosis, although associated with the ovaries in 80% of the cases, has also been reported in extraovarian locations such as the abdominal wall, rectovaginal septum, and intestine [163]. Interestingly, malignant transformations occurring in the ovaries are typically treated with chemotherapy, in line with the treatment protocols for ovarian cancer. Conversely, when such transformations occur extra-gonadally, such as in the rectum or recto-sigmoid, then the treatment becomes surgical resection and radiotherapy [164,165]. Adding to the controversy, the management of malignant transformations of abdominal wall endometriosis varies; at times, they are approached akin to advanced endometrial cancer with a combination of radiotherapy and chemotherapy, while in other instances, they are treated similar to ovarian cancer with platinum-based chemotherapy alone [166].
Oestrogen mediates a plethora of molecular changes, including transcription and translation, via the mTOR pathway in the endometriotic cells [167]. Active phosphorylated mTOR expression was found to be 3.5-fold higher in postmenopausal endometriosis compared to premenopausal counterparts. Furthermore, active mTOR was not significantly different in ovarian carcinoma compared to postmenopausal endometriosis [168]. However, these cells remained morphologically benign with no evidence of atypia or malignant transformation [168]. There is no doubt that time is an essential factor in cancer development, hence postmenopausal endometriosis has a greater predisposition to malignant transformation [161].
However, a systematic review investigating risk factors for developing EAOC among women with endometriosis highlighted a subset of women at increased risk of malignant transformation, perhaps irrespective of menopausal status. This subset of women included an older age at endometriosis diagnosis (≥45 years, pre- or postmenopausal), nulliparity, hyperestrogenism (endogenous or exogenous), the premenopausal status at the endometriosis diagnosis, solid compartments, as well as a larger size of endometrioma (≥9 cm in diameter at endometriosis diagnosis); all were associated with an increased risk of EAOC [169].

5. Targeting mTOR Pathway in Endometriosis and EAOC Treatment

The heightened activity of the PI3K/mTOR pathway, observed in both endometriosis and EAOCs, underscores its potential as a promising therapeutic target [170,171]. In fact, the mechanistic target of rapamycin acquired its name from the first described mTOR inhibitor, “rapamycin”.
Rapamycin was first described in 1975 as an antifungal antibiotic produced by a bacterial strain isolated from the soil of Rapa Nui (Easter Island) [172]. By 1990, the drug’s immunosuppressive and anti-tumoral properties gained recognition [173,174]. However, rapamycin’s molecular target remained unclear until the mid-1990s, when mTOR became an active area of research discoveries [175,176]. Rapamycin targets this pathway predominantly through the inhibition of mTORC1 with very weak and time-dependent activity on mTORC2 [177]. Subsequently, rapalogues were developed as semi-synthetic analogues of rapamycin. These also target mTORC1 by allosteric inhibition, forming a complex with cytosolic FK506-binding protein [178].
However, a serious drawback of the first-generation rapalogues was the compensatory activation of upstream pathways with no or partial block of mTORC2, eventually deregulating the entire mTOR network and compromising the inhibitory activity [179]. Hence, new generations of mTOR inhibitors with dual mTORC1 and mTORC2 (RapaLink 1), dual PI3K-mTOR inhibitors, PI3K inhibitors, and AKT inhibitors were developed [180,181,182].
The current European Society of Human Reproduction and Embryology (ESHRE) guidelines outlining the management of endometriosis advocates for either the surgical removal of endometriotic lesions or the implementation of hormonal and symptomatic treatments [68]. These two approaches lack long-term control and endometriosis often reappears. Dienogest (an orally active synthetic progestogen commonly used in the treatment of endometriosis) acts by inhibiting the PI3K–AKT and MEK1/2–ERK1/2 pathways in the endometriotic cells [183]. Ren et al. demonstrated a significant decrease in the volume of endometriotic lesions in rapamycin-treated mice [184]. Similarly, Kacan et al., showed promising results with everolimus (Afinitor®, Novartis, NJ, USA), a first-generation rapalogue [185]. MK2206, an AKT inhibitor, has also shown promising preclinical results in endometriosis [186]. However, to translate these findings into practical long-term endometriosis treatment, significant enhancements in clinical efficacy and a thorough evaluation of the adverse effect profile are imperative [187].
The gold-standard treatment for epithelial ovarian cancer is a combination of taxane- and platinum-based chemotherapeutics, irrespective of the clinical subtype [188]. The response rate of the standard chemotherapy in advanced ovarian clear-cell cancer (OCCC) is low, making it, except for early-stage disease, the poorest stage-adjusted prognosis when compared to other ovarian cancer subtypes [188,189]. To overcome standard treatment failure, alternative or adjunct therapeutics are needed. The PI3K/AKT/mTOR pathway is an appealing therapeutic target, given the high frequency of mutations in its regulatory proteins seen in EAOCs [190].
A number of in vivo and in vitro preclinical studies have investigated mTOR inhibitors for ovarian cancer treatment either alone or in combination with other cytotoxic drugs. Shi et al. demonstrated that rapamycin could effectively enhance cisplatin-induced apoptosis in platinum-resistant SKOV3 ovarian cancer cells in vitro [191]. In another study, everolimus inhibited the mTOR signalling pathway in ovarian cancer cells exhibiting elevated AKT/mTOR expression. In the same study, the authors reported enhanced cisplatin-induced apoptosis in SKOV3 and OVCAR10 cells treated with everolimus and the inhibition of tumour growth and angiogenesis in mouse SKOV3 xenograft models [192]. The dual mTORC1/mTORC2 inhibitor vistusertib (AZD2014), in combination with paclitaxel, reduced the tumour growth and increased apoptosis in the resistant xenograft model [193]. The dual PI3K/mTOR inhibitor GSK458 demonstrated a potent inhibition of proliferation and cell migration in combination with paclitaxel in vitro and reduced tumour growth in SKOV3 xenograft and PDCX models in vivo [194]. However, to date, no PI3K/AKT/mTOR pathway inhibitor has been approved by the U.S. Food and Drug Administration (FDA) for the treatment of EOCs.
A meta-analysis assessing the effectiveness of monotherapy with PI3K/AKT/mTOR pathway inhibitors in ovarian cancer reported an overall low response rate (ORR) of 3% in ovarian cancer patients. A sub-analysis by the inhibitor group showed that PK3I inhibitors were associated with the highest pooled clinical benefit rate (CBR), whilst mTOR inhibitors were associated with the best ORR; however, there was no statistically significant difference between the groups [195]. Of note, dual PI3K/mTOR inhibitors have struggled to advance beyond phase I trials in numerous cancers, largely due to concerns related to compromised safety and the occurrence of frequent adverse events [182].
Alpelisib is a small PI3K inhibitor that selectively inhibits p110 and has been FDA-approved for patients with hormone receptor-positive (HR+) and human epidermal growth factor receptor 2-negative (HER2-) PIK3CA-mutant breast cancer. A phase III randomized study of alpelisib in combination with olaparib in patients with no germline BRCA mutations, platinum resistance, and high-grade serous ovarian cancer is currently recruiting [196].
Another phase II trial (DICE trial) has been initiated, investigating the addition of sapanisertib (TAK-228; an oral dual mTORC1/mTORC2 inhibitor) to paclitaxel in the treatment of advanced/recurrent epithelial ovarian, fallopian tube, or primary peritoneal cancer (clear-cell, endometrioid, and high-grade serous type, and carcinosarcoma) [197]. Table 2 presents an up-to-date summary of currently recruiting clinical trials involving PI3K–AKT–mTOR pathway inhibitors in ovarian cancer. The summarized data were obtained from clinicaltrial.gov and cover the period up to the end of February 2024, offering a comprehensive snapshot of the latest trials in this field.
Of note, patient selection based on current PI3K/AKT/mTOR biomarkers revealed a trend towards an improved clinical benefit rate in the meta-analysis investigating the effectiveness of monotherapy with PI3K/AKT/mTOR pathway inhibitors in ovarian cancer. However, this trend did not reach statistical significance for any such biomarker [195]. Commonly used predictive biomarkers in clinical trials to stratify patients for treatment include PIK3CA, PIK3R1, AKT2 gene mutations, and PTEN protein expression [195]. Significant advances are essential to fast-track new pathway inhibitors to clinical practice, including the characterization of new potential predictive biomarkers in the pathway and exploring different drug combinations.

6. Conclusions

The pathogenesis of endometriosis is complex, involving the activation of the mTOR pathway orchestrated by genetic and epigenetic mutations, which are ultimately implicated in its potential for malignant transformation. Postmenopausal endometriosis is particularly important, given that the peak age for cancer development is around menopause. The road from benign endometriosis to EAOCs is complex, yet most of the implicated cancer driver genes are upstream regulators of the mTOR pathway. Hypoxia, inflammation, and the immune microenvironment further regulate this pathway and may be essential for endometriosis-related cancer transformation, potentially positioning the mTOR pathway at the centre of multiple molecular pathways leading to cancer development. This may provide an opportunity to identify a precursor lesion to be targeted as a preventative or therapeutic strategy. Therapeutic targeting of the mTOR pathway may represent the future in preventing ovarian cancer and may offer potential predictive and prognostic biomarkers in EAOCs.

7. Future Directions

Ovarian cancer currently encompasses a heterogeneous group of subtypes that differ in their precursor lesions, prognoses, and biological behaviour [6,7,8]. Recent advances in the molecular classification of endometrial cancer indicate that future research in gynaecological cancers will increasingly focus on the molecular classification of cancer subtypes. While histological classification will continue to play a role, it is likely that molecular classification will eventually take precedence [198]. Ovarian cancer, however, remains under-investigated despite evolving in this regard, highlighting the urgent need for further molecular subclassification. This is crucial not only for identifying prognostic indicators but also for streamlining treatment pathways in the era of personalized medicine [5].
We hypothesize that the mTOR pathway plays a significant role in the development and progression of endometriosis-associated ovarian cancer (EAOC), and that it is dysregulated in this cohort of patients, potentially driving the transformation process. Investigating this pathway in EAOC patients could significantly impact treatment strategies, which currently rely heavily on surgery and platinum-based chemotherapy—often rendered ineffective due to resistance [167].
Furthermore, with the recent development of non-invasive endometriosis testing using salivary miRNA signature, there is a potential to evaluate this signature in EAOC. If proven to be present, such markers could serve as an effective tool for pre-cancer screening in this patient population. This approach could revolutionize the early detection and treatment landscape for ovarian cancer, aligning with the goals of personalized medicine [199].
Although numerous clinical and preclinical trials have evaluated mTOR inhibitors in ovarian cancer, several challenges have hindered their progression into clinical practice. These challenges include bypass activation pathways, off-target toxicities, and the lack of predictive biomarkers for patient selection and response to treatment [200]. A further evaluation of mTOR pathway inhibitors in both endometriosis and EAOC is necessary [167].

Author Contributions

R.H., E.K., and J.C.: writing—original draft preparation; R.H., E.K., J.C., and H.R.; I.K.: writing—review and editing; E.K. and J.C.: supervision; E.K. and J.C.: project administration. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No extra data is generated in this review article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Berek, J.S.; Renz, M.; Kehoe, S.; Kumar, L.; Friedlander, M. Cancer of the ovary, fallopian tube, and peritoneum: 2021 update. Int. J. Gynecol. Obstet. 2021, 155 (Suppl. S1), 61–85. [Google Scholar] [CrossRef] [PubMed]
  2. Scully, R.E. Ovarian tumors. A review. Am. J. Pathol. 1977, 87, 686–720. [Google Scholar]
  3. Classification and staging of malignant tumours in the female pelvis. Acta Obstet. Gynecol. Scand. 1971, 50, 1–7. [CrossRef] [PubMed]
  4. De Leo, A.; Santini, D.; Ceccarelli, C.; Santandrea, G.; Palicelli, A.; Acquaviva, G.; Chiarucci, F.; Rosini, F.; Ravegnini, G.; Pession, A.; et al. What Is New on Ovarian Carcinoma: Integrated Morphologic and Molecular Analysis Following the New 2020 World Health Organization Classification of Female Genital Tumors. Diagnostics 2021, 11, 697. [Google Scholar] [CrossRef] [PubMed]
  5. Köbel, M.; Kang, E.Y. The Evolution of Ovarian Carcinoma Subclassification. Cancers 2022, 14, 416. [Google Scholar] [CrossRef] [PubMed]
  6. McCluggage, W.G. Endometriosis-related pathology: A discussion of selected uncommon benign, premalignant and malignant lesions. Histopathology 2020, 76, 76–92. [Google Scholar] [CrossRef] [PubMed]
  7. Wang, Y.; Mang, M.; Wang, Y.; Wang, L.; Klein, R.; Kong, B.; Zheng, W. Tubal origin of ovarian endometriosis and clear cell and endometrioid carcinoma. Am. J. Cancer Res. 2015, 5, 869–879. [Google Scholar] [PubMed]
  8. Bartiromo, L.; Schimberni, M.; Villanacci, R.; Mangili, G.; Ferrari, S.; Ottolina, J.; Salmeri, N.; Dolci, C.; Tandoi, I.; Candiani, M. A Systematic Review of Atypical Endometriosis-Associated Biomarkers. Int. J. Mol. Sci. 2022, 23, 4425. [Google Scholar] [CrossRef] [PubMed]
  9. Cristescu, C.; Velişcu, A.; Marinescu, B.; Pătraşcu, A.; Traşcă, E.T.; Pop, O.T. Endometriosis—Clinical approach based on histological findings. Rom. J. Morphol. Embryol. 2013, 54, 91–97. [Google Scholar] [PubMed]
  10. Klemmt, P.A.; Starzinski-Powitz, A. Molecular and Cellular Pathogenesis of Endometriosis. Curr. Women Health Rev. 2017, 14, 106–116. [Google Scholar] [CrossRef]
  11. Arosh, J.A.; Banu, S.K. Dual inhibition of ERK1/2 and AKT pathways is required to suppress the growth and survival of endometriotic cells and lesions. Mol. Cell. Endocrinol. 2019, 484, 78–92. [Google Scholar] [CrossRef] [PubMed]
  12. Cope, A.G.; VanBuren, W.M.; Sheedy, S.P. Endometriosis in the postmenopausal female: Clinical presentation, imaging features, and management. Abdom. Radiol. 2020, 45, 1790–1799. [Google Scholar] [CrossRef] [PubMed]
  13. Hudson, N. The missed disease? Endometriosis as an example of ‘undone science’. Reprod. Biomed. Soc. Online 2022, 14, 20–27. [Google Scholar] [CrossRef] [PubMed]
  14. Jakson, I.; Hirschberg, A.L.; Gidlöf, S.B. Endometriosis and menopause—Management strategies based on clinical scenarios. Acta Obstet. Gynecol. Scand. 2023, 102, 1323–1328. [Google Scholar] [CrossRef] [PubMed]
  15. Cumiskey, J.; Whyte, P.; Kelehan, P.; Gibbons, D. A detailed morphologic and immunohistochemical comparison of pre- and postmenopausal endometriosis. J. Clin. Pathol. 2008, 61, 455–459. [Google Scholar] [CrossRef] [PubMed]
  16. Chang, C.-M.; Wang, M.-L.; Lu, K.-H.; Yang, Y.-P.; Juang, C.-M.; Wang, P.-H.; Hsu, R.-J.; Yu, M.-H.; Chang, C.-C. Integrating the dysregulated inflammasome-based molecular functionome in the malignant transformation of endometriosis-associated ovarian carcinoma. Oncotarget 2018, 9, 3704–3726. [Google Scholar] [CrossRef] [PubMed]
  17. Murakami, K.; Kotani, Y.; Nakai, H.; Matsumura, N. Endometriosis-Associated Ovarian Cancer: The Origin and Targeted Therapy. Cancers 2020, 12, 1676. [Google Scholar] [CrossRef]
  18. Yachida, N.; Yoshihara, K.; Yamaguchi, M.; Suda, K.; Tamura, R.; Enomoto, T. How Does Endometriosis Lead to Ovarian Cancer? The Molecular Mechanism of Endometriosis-Associated Ovarian Cancer Development. Cancers 2021, 13, 1439. [Google Scholar] [CrossRef]
  19. Ruderman, R.; Pavone, M.E. Ovarian cancer in endometriosis: An update on the clinical and molecular aspects. Minerva Obstet. Gynecol. 2017, 69, 286–294. [Google Scholar] [CrossRef]
  20. Wei, J.J.; William, J.; Bulun, S. Endometriosis and ovarian cancer: A review of clinical, pathologic, and molecular aspects. Int. J. Gynecol. Pathol. 2011, 30, 553–568. [Google Scholar] [CrossRef]
  21. Mikhaleva, L.M.; Davydov, A.I.; Patsap, O.I.; Mikhaylenko, E.V.; Nikolenko, V.N.; Neganova, M.E.; Klochkov, S.G.; Somasundaram, S.G.; Kirkland, C.E.; Aliev, G. Malignant Transformation and Associated Biomarkers of Ovarian Endometriosis: A Narrative Review. Adv. Ther. 2020, 37, 2580–2603. [Google Scholar] [CrossRef]
  22. So, K.A.; Hong, S.R.; Kim, N.R.; Yang, E.J.; Shim, S.-H.; Lee, S.J.; Kim, T.J. Association between atypical endometriosis and ovarian malignancies in the real world. J. Ovarian Res. 2021, 14, 110. [Google Scholar] [CrossRef] [PubMed]
  23. Rogers-Broadway, K.; Kumar, J.; Sisu, C.; Wander, G.; Mazey, E.; Jeyaneethi, J.; Pados, G.; Tsolakidis, D.; Klonos, E.; Grunt, T.; et al. Differential expression of mTOR components in endometriosis and ovarian cancer: Effects of rapalogues and dual kinase inhibitors on mTORC1 and mTORC2 stoichiometry. Int. J. Mol. Med. 2019, 43, 47–56. [Google Scholar] [CrossRef]
  24. Lempiäinen, H.; Halazonetis, T.D. Emerging common themes in regulation of PIKKs and PI3Ks. EMBO J. 2009, 28, 3067–3073. [Google Scholar] [CrossRef]
  25. Ben-Sahra, I.; Manning, B.D. mTORC1 signaling and the metabolic control of cell growth. Curr. Opin. Cell Biol. 2017, 45, 72–82. [Google Scholar] [CrossRef]
  26. Hall, M.N. mTOR-what does it do? Transpl. Proc. 2008, 40 (Suppl. S10), S5–S8. [Google Scholar] [CrossRef] [PubMed]
  27. Hay, N.; Sonenberg, N. Upstream and downstream of mTOR. Genes. Dev. 2004, 18, 1926–1945. [Google Scholar] [CrossRef] [PubMed]
  28. Paquette, M.; El-Houjeiri, L.; Pause, A. mTOR Pathways in Cancer and Autophagy. Cancers 2018, 10, 18. [Google Scholar] [CrossRef]
  29. Watanabe, R.; Wei, L.; Huang, J. mTOR signaling, function, novel inhibitors, and therapeutic targets. J. Nucl. Med. 2011, 52, 497–500. [Google Scholar] [CrossRef]
  30. Yip, C.K.; Murata, K.; Walz, T.; Sabatini, D.M.; Kang, S.A. Structure of the human mTOR complex I and its implications for rapamycin inhibition. Mol. Cell 2010, 38, 768–774. [Google Scholar] [CrossRef]
  31. Yang, G.; Humphrey, S.J.; Murashige, D.S.; Francis, D.; Wang, Q.; Cooke, K.C.; Neely, G.G.; James, D.E. RagC phosphorylation autoregulates mTOR complex 1. EMBO J. 2019, 38, e99548. [Google Scholar] [CrossRef] [PubMed]
  32. Chao, L.H.; Avruch, J. Cryo-EM insight into the structure of MTOR complex 1 and its interactions with Rheb and substrates. F1000Research 2019, 8, 14. [Google Scholar] [CrossRef] [PubMed]
  33. Manning, B.D.; Cantley, L.C. Rheb fills a GAP between TSC and TOR. Trends Biochem. Sci. 2003, 28, 573–576. [Google Scholar] [CrossRef] [PubMed]
  34. Wiza, C.; Nascimento, E.B.M.; Ouwens, D.M. Role of PRAS40 in Akt and mTOR signaling in health and disease. Am. J. Physiol. Metab. 2012, 302, E1453–E1460. [Google Scholar] [CrossRef] [PubMed]
  35. Kakumoto, K.; Ikeda, J.; Okada, M.; Morii, E.; Oneyama, C. mLST8 Promotes mTOR-Mediated Tumor Progression. PLoS ONE 2015, 10, e0119015. [Google Scholar] [CrossRef] [PubMed]
  36. Stuttfeld, E.; Aylett, C.H.; Imseng, S.; Boehringer, D.; Scaiola, A.; Sauer, E.; Hall, M.N.; Maier, T.; Ban, N. Architecture of the human mTORC2 core complex. eLlife 2018, 7, e33101. [Google Scholar] [CrossRef] [PubMed]
  37. Scaiola, A.; Mangia, F.; Imseng, S.; Boehringer, D.; Berneiser, K.; Shimobayashi, M.; Stuttfeld, E.; Hall, M.N.; Ban, N.; Maier, T. The 3.2-Å resolution structure of human mTORC2. Sci. Adv. 2020, 6, eabc1251. [Google Scholar] [CrossRef] [PubMed]
  38. Guertin, D.A.; Stevens, D.M.; Thoreen, C.C.; Burds, A.A.; Kalaany, N.Y.; Moffat, J.; Brown, M.; Fitzgerald, K.J.; Sabatini, D.M. Ablation in mice of the mTORC components raptor, rictor, or mLST8 reveals that mTORC2 is required for signaling to Akt-FOXO and PKCalpha, but not S6K1. Dev. Cell 2006, 11, 859–871. [Google Scholar] [CrossRef] [PubMed]
  39. Tatebe, H.; Murayama, S.; Yonekura, T.; Hatano, T.; Richter, D.; Furuya, T.; Kataoka, S.; Furuita, K.; Kojima, C.; Shiozaki, K. Substrate specificity of TOR complex 2 is determined by a ubiquitin-fold domain of the Sin1 subunit. Elife 2017, 6, e19594. [Google Scholar] [CrossRef]
  40. Wälchli, M.; Berneiser, K.; Mangia, F.; Imseng, S.; Craigie, L.M.; Stuttfeld, E.; Hall, M.N.; Maier, T. Regulation of human mTOR complexes by DEPTOR. Elife 2021, 10, e70871. [Google Scholar] [CrossRef]
  41. Heimhalt, M.; Berndt, A.; Wagstaff, J.; Anandapadamanaban, M.; Perisic, O.; Maslen, S.; McLaughlin, S.; Yu, C.W.; Masson, G.R.; Boland, A.; et al. Bipartite binding and partial inhibition links DEPTOR and mTOR in a mutually antagonistic embrace. Elife 2021, 10, e68799. [Google Scholar] [CrossRef] [PubMed]
  42. Sancak, Y.; Thoreen, C.C.; Peterson, T.R.; Lindquist, R.A.; Kang, S.A.; Spooner, E.; Carr, S.A.; Sabatini, D.M. PRAS40 is an insulin-regulated inhibitor of the mTORC1 protein kinase. Mol. Cell 2007, 25, 903–915. [Google Scholar] [CrossRef] [PubMed]
  43. Bond, P. Regulation of mTORC1 by growth factors, energy status, amino acids and mechanical stimuli at a glance. J. Int. Soc. Sports Nutr. 2016, 13, 8. [Google Scholar] [CrossRef] [PubMed]
  44. Dibble, C.C.; Elis, W.; Menon, S.; Qin, W.; Klekota, J.; Asara, J.M.; Finan, P.M.; Kwiatkowski, D.J.; Murphy, L.O.; Manning, B.D. TBC1D7 is a third subunit of the TSC1-TSC2 complex upstream of mTORC1. Mol. Cell 2012, 47, 535–546. [Google Scholar] [CrossRef] [PubMed]
  45. Huang, J.; Dibble, C.C.; Matsuzaki, M.; Manning, B.D. The TSC1-TSC2 Complex Is Required for Proper Activation of mTOR Complex 2. Mol. Cell. Biol. 2008, 28, 4104–4115. [Google Scholar] [CrossRef] [PubMed]
  46. Ebner, M.; Sinkovics, B.; Szczygieł, M.; Ribeiro, D.W.; Yudushkin, I. Localization of mTORC2 activity inside cells. J. Cell Biol. 2017, 216, 343–353. [Google Scholar] [CrossRef] [PubMed]
  47. Sun, Y.; Wang, H.; Qu, T.; Luo, J.; An, P.; Ren, F.; Luo, Y.; Li, Y. mTORC2: A multifaceted regulator of autophagy. Cell Commun. Signal. 2023, 21, 4. [Google Scholar] [CrossRef] [PubMed]
  48. Rigoulet, M.; Bouchez, C.; Paumard, P.; Ransac, S.; Cuvellier, S.; Duvezin-Caubet, S.; Mazat, J.; Devin, A. Cell energy metabolism: An update. Biochim. Biophys. Acta Bioenerg. 2020, 1861, 148276. [Google Scholar] [CrossRef] [PubMed]
  49. Tondo-Steele, K.; McLean, K. The “Sweet Spot” of Targeting Tumor Metabolism in Ovarian Cancers. Cancers 2022, 14, 4696. [Google Scholar] [CrossRef]
  50. Abdel-Wahab, A.F.; Mahmoud, W.; Al-Harizy, R.M. Targeting glucose metabolism to suppress cancer progression: Prospective of anti-glycolytic cancer therapy. Pharmacol. Res. 2019, 150, 104511. [Google Scholar] [CrossRef]
  51. Düvel, K.; Yecies, J.L.; Menon, S.; Raman, P.; Lipovsky, A.I.; Souza, A.L.; Triantafellow, E.; Ma, Q.; Gorski, R.; Cleaver, S.; et al. Activation of a metabolic gene regulatory network downstream of mTOR complex 1. Mol. Cell 2010, 39, 171–183. [Google Scholar] [CrossRef] [PubMed]
  52. Lewis, C.A.; Griffiths, B.; Santos, C.R.; Pende, M.; Schulze, A. Regulation of the SREBP transcription factors by mTORC1. Biochem. Soc. Trans. 2011, 39, 495–499. [Google Scholar] [CrossRef]
  53. Qin, X.; Jiang, B.; Zhang, Y. 4E-BP1, a multifactor regulated multifunctional protein. Cell Cycle 2016, 15, 781–786. [Google Scholar] [CrossRef] [PubMed]
  54. Aguirre, D.; Boya, P.; Bellet, D.; Faivre, S.; Troalen, F.; Benard, J.; Saulnier, P.; Hopkins-Donaldson, S.; Zangemeister-Wittke, U.; Kroemer, G.; et al. Bcl-2 and CCND1/CDK4 expression levels predict the cellular effects of mTOR inhibitors in human ovarian carcinoma. Apoptosis 2004, 9, 797–805. [Google Scholar] [CrossRef] [PubMed]
  55. Yi, Y.W.; You, K.S.; Park, J.S.; Lee, S.G.; Seong, Y.S. Ribosomal protein S6: A potential therapeutic target against cancer? Int. J. Mol. Sci. 2022, 23, 48. [Google Scholar] [CrossRef] [PubMed]
  56. Taucher, E.; Mykoliuk, I.; Fediuk, M.; Smolle-Juettner, F.-M. Autophagy, Oxidative Stress and Cancer Development. Cancers 2022, 14, 1637. [Google Scholar] [CrossRef] [PubMed]
  57. Errafiy, R.; Aguado, C.; Ghislat, G.; Esteve, J.M.; Gil, A.; Loutfi, M.; Knecht, E. PTEN increases autophagy and inhibits the ubiquitin-proteasome pathway in glioma cells independently of its lipid phosphatase activity. PLoS ONE 2013, 8, e83318. [Google Scholar] [CrossRef] [PubMed]
  58. Yang, W.; Hosford, S.R.; Traphagen, N.A.; Shee, K.; Demidenko, E.; Liu, S.; Miller, T.W. Autophagy promotes escape from phosphatidylinositol 3-kinase inhibition in estrogen receptor-positive breast cancer. FASEB J. 2018, 32, 1222–1235. [Google Scholar] [CrossRef] [PubMed]
  59. Amaravadi, R.K. Autophagy-induced tumor dormancy in ovarian cancer. J. Clin. Investig. 2008, 118, 3837–3840. [Google Scholar] [CrossRef] [PubMed]
  60. Peracchio, C.; Alabiso, O.; Valente, G.; Isidoro, C. Involvement of autophagy in ovarian cancer: A working hypothesis. J. Ovarian Res. 2012, 5, 10–22. [Google Scholar] [CrossRef]
  61. Sampson, J.A. iPeritoneal endometriosis due to the menstrual dissemination of endometrial tissue into the peritoneal cavity. Am. J. Obstet. Gynecol. 1927, 14, 422–469. [Google Scholar] [CrossRef]
  62. Burney, R.O.; Giudice, L.C. Pathogenesis and pathophysiology of endometriosis. Fertil. Steril. 2012, 98, 511–519. [Google Scholar] [CrossRef] [PubMed]
  63. Levander, G.; Normann, P. The pathogenesis of endometriosis; an experimental study. Acta Obstet. Gynecol. Scand. 1955, 34, 366–398. [Google Scholar] [CrossRef] [PubMed]
  64. Maruyama, T. A Revised Stem Cell Theory for the Pathogenesis of Endometriosis. J. Pers. Med. 2022, 12, 216. [Google Scholar] [CrossRef] [PubMed]
  65. Maruyama, S.; Imanaka, S.; Nagayasu, M.; Kimura, M.; Kobayashi, H. Relationship between adenomyosis and endometriosis; Different phenotypes of a single disease? Eur. J. Obstet. Gynecol. Reprod. Biol. 2020, 253, 191–197. [Google Scholar] [CrossRef] [PubMed]
  66. Vermeulen, N.; Abrao, M.S.; Einarsson, J.I.; Horne, A.W.; Johnson, N.P.; Lee, T.T.M.; Missmer, S.; Petrozza, J.; Tomassetti, C.; Zondervan, K.T.; et al. Endometriosis classification, staging and reporting systems: A review on the road to a universally accepted endometriosis classification. Hum. Reprod. Open 2021, 2021, hoab025. [Google Scholar] [PubMed]
  67. Revised American Society for Reproductive Medicine classification of endometriosis: 1996. Fertil. Steril. 1997, 67, 817–821. [CrossRef] [PubMed]
  68. Becker, C.M.; Bokor, A.; Heikinheimo, O.; Horne, A.; Jansen, F.; Kiesel, L.; King, K.; Kvaskoff, M.; Nap, A.; Petersen, K.; et al. ESHRE guideline: Endometriosis. Hum. Reprod. Open 2022, 2022, hoac009. [Google Scholar] [CrossRef] [PubMed]
  69. Rolla, E. Endometriosis: Advances and controversies in classification, pathogenesis, diagnosis, and treatment. F1000Research 2019, 8, F1000. [Google Scholar] [CrossRef] [PubMed]
  70. Zhang, P.; Wang, G. Progesterone Resistance in Endometriosis: Current Evidence and Putative Mechanisms. Int. J. Mol. Sci. 2023, 24, 6992. [Google Scholar] [CrossRef]
  71. Che, X.-H.; Chen, Y.-C.; Chen, C.-L.; Ye, X.-L.; Zhu, H. Non-hormonal targets underlying endometriosis: A focus on molecular mechanisms. Mol. Reprod. Dev. 2015, 82, 410–431. [Google Scholar] [CrossRef] [PubMed]
  72. Guo, Z.; Yu, Q. Role of mTOR Signaling in Female Reproduction. Front. Endocrinol. 2019, 10, 692. [Google Scholar] [CrossRef]
  73. Choi, J.; Jo, M.; Lee, E.; Kim, H.J.; Choi, D. Differential induction of autophagy by mTOR is associated with abnormal apoptosis in ovarian endometriotic cysts. Mol. Hum. Reprod. 2014, 20, 309–317. [Google Scholar] [CrossRef] [PubMed]
  74. Chantalat, E.; Valera, M.-C.; Vaysse, C.; Noirrit, E.; Rusidze, M.; Weyl, A.; Vergriete, K.; Buscail, E.; Lluel, P.; Fontaine, C.; et al. Estrogen Receptors and Endometriosis. Int. J. Mol. Sci. 2020, 21, 2815. [Google Scholar] [CrossRef] [PubMed]
  75. Assaf, L.; Eid, A.A.; Nassif, J. Role of AMPK/mTOR, mitochondria, and ROS in the pathogenesis of endometriosis. Life Sci. 2022, 306, 120805. [Google Scholar] [CrossRef] [PubMed]
  76. Brosens, I.; Brosens, J.J.; Benagiano, G. The eutopic endometrium in endometriosis: Are the changes of clinical significance? Reprod. Biomed. Online 2012, 24, 496–502. [Google Scholar] [CrossRef] [PubMed]
  77. Cinar, O.; Seval, Y.; Uz, Y.H.; Cakmak, H.; Ulukus, M.; Kayisli, U.A.; Arici, A. Differential regulation of Akt phosphorylation in endometriosis. Reprod. Biomed. Online 2009, 19, 864–871. [Google Scholar] [CrossRef]
  78. Poli-Neto, O.B.; Meola, J.; Rosa-E-Silva, J.C.; Tiezzi, D. Transcriptome meta-analysis reveals differences of immune profile between eutopic endometrium from stage I–II and III–IV endometriosis independently of hormonal milieu. Sci. Rep. 2020, 10, 313. [Google Scholar] [CrossRef] [PubMed]
  79. Kim, T.H.; Yu, Y.; Luo, L.; Lydon, J.P.; Jeong, J.-W.; Kim, J.J. Activated AKT pathway promotes establishment of endometriosis. Endocrinology 2014, 155, 1921–1930. [Google Scholar] [CrossRef]
  80. Choi, J.; Jo, M.; Lee, E.; Hwang, S.; Choi, D. Aberrant PTEN expression in response to progesterone reduces endometriotic stromal cell apoptosis. Reproduction 2017, 153, 11–21. [Google Scholar] [CrossRef]
  81. Yang, H.-L.; Mei, J.; Chang, K.-K.; Zhou, W.-J.; Huang, L.-Q.; Li, M.-Q. Autophagy in endometriosis. Am. J. Transl. Res. 2017, 9, 4707–4725. [Google Scholar]
  82. Choi, J.; Jo, M.; Lee, E.; Oh, Y.K.; Choi, D. The role of autophagy in human endometrium1. Biol. Reprod. 2012, 86, 70. [Google Scholar] [CrossRef]
  83. Fuentes, N.; Silveyra, P. Estrogen receptor signaling mechanisms. Adv. Protein Chem. Struct. Biol. 2019, 116, 135–170. [Google Scholar] [CrossRef] [PubMed]
  84. Green, S.; Walter, P.; Kumar, V.; Krust, A.; Bornert, J.-M.; Argos, P.; Chambon, P. Human oestrogen receptor cDNA: Sequence, expression and homology to v-erb-A. Nature 1986, 320, 134–139. [Google Scholar] [CrossRef] [PubMed]
  85. Han, S.J.; Jung, S.Y.; Wu, S.-P.; Hawkins, S.M.; Park, M.J.; Kyo, S.; Qin, J.; Lydon, J.P.; Tsai, S.Y.; Tsai, M.-J.; et al. Estrogen Receptor β Modulates Apoptosis Complexes and the Inflammasome to Drive the Pathogenesis of Endometriosis. Cell 2015, 163, 960–974. [Google Scholar] [CrossRef]
  86. Samartzis, N.; Samartzis, E.P.; Noske, A.; Fedier, A.; Dedes, K.J.; Caduff, R.; Fink, D.; Imesch, P. Expression of the G protein-coupled estrogen receptor (GPER) in endometriosis: A tissue microarray study. Reprod. Biol. Endocrinol. 2012, 10, 30. [Google Scholar] [CrossRef]
  87. Heublein, S.; Vrekoussis, T.; Kuhn, C.; Friese, K.; Makrigiannakis, A.; Mayr, D.; Lenhard, M.; Jeschke, U. Inducers of G-protein coupled estrogen receptor (GPER) in endometriosis: Potential implications for macrophages and follicle maturation. J. Reprod. Immunol. 2013, 97, 95–103. [Google Scholar] [CrossRef] [PubMed]
  88. Mori, T.; Ito, F.; Matsushima, H.; Takaoka, O.; Tanaka, Y.; Koshiba, A.; Kusuki, I.; Kitawaki, J. G protein-coupled estrogen receptor 1 agonist G-1 induces cell cycle arrest in the mitotic phase, leading to apoptosis in endometriosis. Fertil. Steril. 2015, 103, 1228–1235.e1. [Google Scholar] [CrossRef]
  89. Taniguchi, F. New knowledge and insights about the malignant transformation of endometriosis. J. Obstet. Gynaecol. Res. 2017, 43, 1093–1100. [Google Scholar] [CrossRef]
  90. de la Cuesta, R.S.; Eichhorn, J.H.; Rice, L.W.; Fuller, J.A.F.; Nikrui, N.; Goff, B.A. Histologic transformation of benign endometriosis to early epithelial ovarian cancer. Gynecol. Oncol. 1996, 60, 238–244. [Google Scholar] [CrossRef]
  91. Heidemann, L.N.; Hartwell, D.; Heidemann, C.H.; Jochumsen, K.M. The relation between endometriosis and ovarian cancer—A review. Acta Obstet. Gynecol. Scand. 2014, 93, 20–31. [Google Scholar] [CrossRef]
  92. Zafrakas, M.; Grimbizis, G.; Timologou, A.; Tarlatzis, B.C. Endometriosis and ovarian cancer risk: A systematic review of epidemiological studies. Front. Surg. 2014, 1, 14. [Google Scholar] [CrossRef]
  93. Sorbi, F.; Capezzuoli, T.; Saso, S.; Fambrini, M.; Corda, M.; Fantappiè, G.; Petraglia, F. The relation between endometrioma and ovarian cancer. Minerva Obstet. Gynecol. 2021, 73, 347–353. [Google Scholar] [CrossRef]
  94. Pearce, C.L.; Templeman, C.; Rossing, M.A.; Lee, A.; Near, A.M.; Webb, P.M.; Nagle, C.M.; Doherty, J.A.; Cushing-Haugen, K.L.; Wicklund, K.G.; et al. Association between endometriosis and risk of histological subtypes of ovarian cancer: A pooled analysis of case–control studies. Lancet Oncol. 2012, 13, 385–394. [Google Scholar] [CrossRef]
  95. Scott, R.B. Malignant changes in endometriosis. Obstet. Gynecol. 1953, 2, 283–289. [Google Scholar] [PubMed]
  96. Ogawa, S.; Kaku, T.; Amada, S.; Kobayashi, H.; Hirakawa, T.; Ariyoshi, K.; Kamura, T.; Nakano, H. Ovarian endometriosis associated with ovarian carcinoma: A clinicopathological and immunohistochemical study. Gynecol. Oncol. 2000, 77, 298–304. [Google Scholar] [CrossRef]
  97. Somigliana, E.; Vigano', P.; Parazzini, F.; Stoppelli, S.; Giambattista, E.; Vercellini, P. Association between endometriosis and cancer: A comprehensive review and a critical analysis of clinical and epidemiological evidence. Gynecol. Oncol. 2006, 101, 331–341. [Google Scholar] [CrossRef]
  98. Bergamini, A.; Mangili, G.; Ambrosi, A.; Taccagni, G.; Rabaiotti, E.; Bocciolone, L.; Candotti, G.; Cioffi, R.; Pella, F.; Sabetta, G.; et al. Endometriosis-Related Ovarian Cancers: Evidence for a Dichotomy in the Histogenesis of the Two Associated Histotypes. Diagnostics 2023, 13, 1425. [Google Scholar] [CrossRef]
  99. Fukunaga, M.; Nomura, K.; Ishikawa, E.; Ushigome, S. Ovarian atypical endometriosis: Its close association with malignant epithelial tumours. Histopathology 1997, 30, 249–255. [Google Scholar] [CrossRef]
  100. Seidman, J.D. Prognostic importance of hyperplasia and atypia in endometriosis. Int. J. Gynecol. Pathol. 1996, 15, 1–9. [Google Scholar] [CrossRef]
  101. Tanase, Y.; Kawaguchi, R.; Uchiyama, T.; Kobayashi, H. Long-Term Follow-Up after Surgical Management for Atypical Endometriosis: A Series of Nine Cases. Case Rep. Oncol. 2019, 12, 76–83. [Google Scholar] [CrossRef] [PubMed]
  102. Centini, G.; Schettini, G.; Pieri, E.; Giorgi, M.; Lazzeri, L.; Martire, F.G.; Mancini, V.; Raimondo, D.; Seracchioli, R.; Habib, N.; et al. Endometriosis-Related Ovarian Cancer: Where Are We Now? A Narrative Review towards a Pragmatic Approach. J. Clin. Med. 2024, 13, 1933. [Google Scholar] [CrossRef] [PubMed]
  103. Matsumoto, T.; Yamazaki, M.; Takahashi, H.; Kajita, S.; Suzuki, E.; Tsuruta, T.; Saegusa, M. Distinct β-catenin and PIK3CA Mutation profiles in endometriosis-associated ovarian endometrioid and clear cell carcinomas. Am. J. Clin. Pathol. 2015, 144, 452–463. [Google Scholar] [CrossRef] [PubMed]
  104. Yamamoto, S.; Tsuda, H.; Takano, M.; Tamai, S.; Matsubara, O. Loss of ARID1A protein expression occurs as an early event in ovarian clear-cell carcinoma development and frequently coexists with PIK3CA mutations. Mod. Pathol. 2012, 25, 615–624. [Google Scholar] [CrossRef] [PubMed]
  105. Ayhan, A.; Mao, T.-L.; Seckin, T.; Wu, C.-H.; Guan, B.; Ogawa, H.; Futagami, M.; Mizukami, H.; Yokoyama, Y.; Kurman, R.J.; et al. Loss of ARID1A Expression Is an Early Molecular Event in Tumor Progression From Ovarian Endometriotic Cyst to Clear Cell and Endometrioid Carcinoma. Int. J. Gynecol. Cancer 2012, 22, 1310–1315. [Google Scholar] [CrossRef] [PubMed]
  106. Campbell, I.G.; Russell, S.E.; Choong, D.Y.H.; Montgomery, K.G.; Ciavarella, M.L.; Hooi, C.S.F.; Cristiano, B.E.; Pearson, R.B.; Phillips, W.A. Mutation of the PIK3CA Gene in Ovarian and Breast Cancer. Cancer Res. 2004, 64, 7678–7681. [Google Scholar] [CrossRef] [PubMed]
  107. Yamamoto, S.; Tsuda, H.; Takano, M.; Tamai, S.; Matsubara, O. PIK3CA mutations and loss of ARID1A protein expression are early events in the development of cystic ovarian clear cell adenocarcinoma. Virchows Arch. 2012, 460, 77–87. [Google Scholar] [CrossRef] [PubMed]
  108. Yamamoto, S.; Tsuda, H.; Takano, M.; Iwaya, K.; Tamai, S.; Matsubara, O. PIK3CA mutation is an early event in the development of endometriosis-associated ovarian clear cell adenocarcinoma. J. Pathol. 2011, 225, 189–194. [Google Scholar] [CrossRef] [PubMed]
  109. Anglesio, M.S.; Bashashati, A.; Wang, Y.K.; Senz, J.; Ha, G.; Yang, W.; Aniba, M.R.; Prentice, L.M.; Farahani, H.; Chang, H.L.; et al. Multifocal endometriotic lesions associated with cancer are clonal and carry a high mutation burden. J. Pathol. 2015, 236, 201–209. [Google Scholar] [CrossRef]
  110. Anglesio, M.S.; Papadopoulos, N.; Ayhan, A.; Nazeran, T.M.; Noë, M.; Horlings, H.M.; Lum, A.; Jones, S.; Senz, J.; Seckin, T.; et al. Cancer-Associated Mutations in Endometriosis without Cancer. N. Engl. J. Med. 2017, 376, 1835–1848. [Google Scholar] [CrossRef]
  111. Murakami, K.; Kanto, A.; Sakai, K.; Miyagawa, C.; Takaya, H.; Nakai, H.; Kotani, Y.; Nishio, K.; Matsumura, N. Frequent PIK3CA mutations in eutopic endometrium of patients with ovarian clear cell carcinoma. Mod. Pathol. 2021, 34, 2071–2079. [Google Scholar] [CrossRef] [PubMed]
  112. Madanes, D.; Bilotas, M.A.; Bastón, J.I.; Singla, J.J.; Meresman, G.F.; Barañao, R.I.; Ricci, A.G. PI3K/AKT pathway is altered in the endometriosis patient’s endometrium and presents differences according to severity stage. Gynecol. Endocrinol. 2020, 36, 436–440. [Google Scholar] [CrossRef] [PubMed]
  113. Sato, N.; Tsunoda, H.; Nishida, M.; Morishita, Y.; Takimoto, Y.; Kubo, T.; Noguchi, M. Loss of heterozygosity on 10q23.3 and mutation of the tumor suppressor gene PTEN in benign endometrial cyst of the ovary: Possible sequence progression from benign endometrial cyst to endometrioid carcinoma and clear cell carcinoma of the ovary. Cancer Res. 2000, 60, 7052–7056. [Google Scholar] [PubMed]
  114. Govatati, S.; Kodati, V.L.; Deenadayal, M.; Chakravarty, B.; Shivaji, S.; Bhanoori, M. Mutations in the PTEN tumor gene and risk of endometriosis: A case–control study. Hum. Reprod. 2013, 29, 324–336. [Google Scholar] [CrossRef] [PubMed]
  115. Helming, K.C.; Wang, X.; Roberts, C.W. Vulnerabilities of Mutant SWI/SNF Complexes in Cancer. Cancer Cell 2014, 26, 309–317. [Google Scholar] [CrossRef]
  116. Wiegand, K.C.; Shah, S.P.; Al-Agha, O.M.; Zhao, Y.; Tse, K.; Zeng, T.; Senz, J.; McConechy, M.K.; Anglesio, M.S.; Kalloger, S.E.; et al. ARID1A mutations in endometriosis-associated ovarian carcinomas. N. Engl. J. Med. 2010, 363, 1532–1543. [Google Scholar] [CrossRef]
  117. Samartzis, E.P.; Samartzis, N.; Noske, A.; Fedier, A.; Caduff, R.; Dedes, K.J.; Fink, D.; Imesch, P. Loss of ARID1A/BAF250a-expression in endometriosis: A biomarker for risk of carcinogenic transformation? Mod. Pathol. 2012, 25, 885–892. [Google Scholar] [CrossRef] [PubMed]
  118. Samartzis, E.P.; Labidi-Galy, S.I.; Moschetta, M.; Uccello, M.; Kalaitzopoulos, D.R.; Perez-Fidalgo, J.A.; Boussios, S. Endometriosis-associated ovarian carcinomas: Insights into pathogenesis, diagnostics, and therapeutic targets-a narrative review. Ann. Transl. Med. 2020, 8, 1712. [Google Scholar] [CrossRef] [PubMed]
  119. Yachida, N.; Yoshihara, K.; Suda, K.; Nakaoka, H.; Ueda, H.; Sugino, K.; Yamaguchi, M.; Mori, Y.; Yamawaki, K.; Tamura, R.; et al. ARID1A protein expression is retained in ovarian endometriosis with ARID1A loss-of-function mutations: Implication for the two-hit hypothesis. Sci. Rep. 2020, 10, 14260. [Google Scholar] [CrossRef]
  120. Knudson, A.G., Jr. Mutation and Cancer: Statistical Study of Retinoblastoma. Proc. Natl. Acad. Sci. USA 1971, 68, 820–823. [Google Scholar] [CrossRef]
  121. Iida, Y.; Okamoto, A.; Hollis, R.L.; Gourley, C.; Herrington, C.S. Clear cell carcinoma of the ovary: A clinical and molecular perspective. Int. J. Gynecol. Cancer 2021, 31, 605–616. [Google Scholar] [CrossRef] [PubMed]
  122. Bosse, T.; ter Haar, N.T.; Seeber, L.M.; Diest, P.J.V.; Hes, F.J.; Vasen, H.F.; Nout, R.A.; Creutzberg, C.L.; Morreau, H.; Smit, V.T. Loss of ARID1A expression and its relationship with PI3K-Akt pathway alterations, TP53 and microsatellite instability in endometrial cancer. Mod. Pathol. 2013, 26, 1525–1535. [Google Scholar] [CrossRef] [PubMed]
  123. Chene, G.; Ouellet, V.; Rahimi, K.; Barres, V.; Provencher, D.; Mes-Masson, A.M. The ARID1A pathway in ovarian clear cell and endometrioid carcinoma, contiguous endometriosis, and benign endometriosis. Int. J. Gynaecol. Obstet. 2015, 130, 27–30. [Google Scholar] [CrossRef] [PubMed]
  124. Guan, B.; Rahmanto, Y.S.; Wu, R.-C.; Wang, Y.; Wang, Z.; Wang, T.-L.; Shih, I.-M. Roles of deletion of arid1a, a tumor suppressor, in mouse ovarian tumorigenesis. J. Natl. Cancer Inst. 2014, 106, dju146. [Google Scholar] [CrossRef] [PubMed]
  125. Dinulescu, D.M.; Ince, T.A.; Quade, B.J.; A Shafer, S.; Crowley, D.; Jacks, T. Role of K-ras and Pten in the development of mouse models of endometriosis and endometrioid ovarian cancer. Nat. Med. 2005, 11, 63–70. [Google Scholar] [CrossRef] [PubMed]
  126. Chandler, R.L.; Damrauer, J.S.; Raab, J.R.; Schisler, J.C.; Wilkerson, M.D.; Didion, J.P.; Starmer, J.; Serber, D.; Yee, D.; Xiong, J.; et al. Coexistent ARID1A–PIK3CA mutations promote ovarian clear-cell tumorigenesis through pro-tumorigenic inflammatory cytokine signalling. Nat. Commun. 2015, 6, 6118. [Google Scholar] [CrossRef] [PubMed]
  127. Bitler, B.G.; Aird, K.M.; Garipov, A.; Li, H.; Amatangelo, M.; Kossenkov, A.V.; Schultz, D.C.; Liu, Q.; Shih, I.-M.; Conejo-Garcia, J.; et al. Synthetic lethality by targeting EZH2 methyltransferase activity in ARID1A-mutated cancers. Nat. Med. 2015, 21, 231–238. [Google Scholar] [CrossRef] [PubMed]
  128. Samartzis, E.P.; Gutsche, K.; Dedes, K.J.; Fink, D.; Stucki, M.; Imesch, P. Loss of ARID1A expression sensitizes cancer cells to PI3K- and AKT-inhibition. Oncotarget 2014, 5, 5295–5303. [Google Scholar] [CrossRef]
  129. Suda, K.; Nakaoka, H.; Yoshihara, K.; Ishiguro, T.; Tamura, R.; Mori, Y.; Yamawaki, K.; Adachi, S.; Takahashi, T.; Kase, H.; et al. Clonal Expansion and Diversification of Cancer-Associated Mutations in Endometriosis and Normal Endometrium. Cell Rep. 2018, 24, 1777–1789. [Google Scholar] [CrossRef]
  130. Li, B.; Wang, Y.; Wang, Y.; Li, S.; Liu, K. Deep Infiltrating Endometriosis Malignant Invasion of Cervical Wall and Rectal Wall with Lynch Syndrome: A Rare Case Report and Review of Literature. Front. Oncol. 2022, 12, 832228. [Google Scholar] [CrossRef]
  131. Yamaguchi, K.; Mandai, M.; Toyokuni, S.; Hamanishi, J.; Higuchi, T.; Takakura, K.; Fujii, S. Contents of Endometriotic Cysts, Especially the High Concentration of Free Iron, Are a Possible Cause of Carcinogenesis in the Cysts through the Iron-Induced Persistent Oxidative Stress. Clin. Cancer Res. 2008, 14, 32–40. [Google Scholar] [CrossRef] [PubMed]
  132. Ito, F.; Yamada, Y.; Shigemitsu, A.; Akinishi, M.; Kaniwa, H.; Miyake, R.; Yamanaka, S.; Kobayashi, H. Role of Oxidative Stress in Epigenetic Modification in Endometriosis. Reprod. Sci. 2017, 24, 1493–1502. [Google Scholar] [CrossRef] [PubMed]
  133. Brinton, L.A.; Gridley, G.; Persson, I.; Baron, J.; Bergqvist, A. Cancer risk after a hospital discharge diagnosis of endometriosis. Am. J. Obstet. Gynecol. 1997, 176, 572–579. [Google Scholar] [CrossRef] [PubMed]
  134. Terzic, M.; Aimagambetova, G.; Kunz, J.; Bapayeva, G.; Aitbayeva, B.; Terzic, S.; Laganà, A.S. Molecular Basis of Endometriosis and Endometrial Cancer: Current Knowledge and Future Perspectives. Int. J. Mol. Sci. 2021, 22, 9274. [Google Scholar] [CrossRef] [PubMed]
  135. Semenza, G.L. HIF-1 and human disease: One highly involved factor. Genes. Dev. 2000, 14, 1983–1991. [Google Scholar] [CrossRef] [PubMed]
  136. Wu, M.-H.; Lu, C.-W.; Chang, F.-M.; Tsai, S.-J. Estrogen receptor expression affected by hypoxia inducible factor-1α in stromal cells from patients with endometriosis. Taiwan. J. Obstet. Gynecol. 2012, 51, 50–54. [Google Scholar] [CrossRef]
  137. Becker, C.M.; Rohwer, N.; Funakoshi, T.; Cramer, T.; Bernhardt, W.; Birsner, A.; Folkman, J.; D’Amato, R.J. 2-methoxyestradiol inhibits hypoxia-inducible factor-1{alpha} and suppresses growth of lesions in a mouse model of endometriosis. Am. J. Pathol. 2008, 172, 534–544. [Google Scholar] [CrossRef]
  138. Wu, M.; Hsiao, K.; Tsai, S. Hypoxia: The force of endometriosis. J. Obstet. Gynaecol. Res. 2019, 45, 532–541. [Google Scholar] [CrossRef]
  139. Zhan, L.; Wang, W.; Zhang, Y.; Song, E.; Fan, Y.; Wei, B. Hypoxia-inducible factor-1alpha: A promising therapeutic target in endometriosis. Biochimie 2016, 123, 130–137. [Google Scholar] [CrossRef]
  140. Masoud, G.N.; Li, W. HIF-1α pathway: Role, regulation and intervention for cancer therapy. Acta Pharm. Sin. B 2015, 5, 378–389. [Google Scholar] [CrossRef]
  141. Chen, X.; Yang, Y.; Sun, J.; Hu, C.; Ge, X.; Li, R. LncRNA HCG11 represses ovarian cancer cell growth via AKT signaling pathway. J. Obstet. Gynaecol. Res. 2022, 48, 796–805. [Google Scholar] [CrossRef]
  142. Li, N.; Wang, Y.; Liu, L.; Wang, P.; Wu, X. Effects of MFG-E8 expression on the biological characteristics of ovarian cancer cells via the AKT/mTOR/S6K signalling pathway. J. Obstet. Gynaecol. 2023, 43, 2151354. [Google Scholar] [CrossRef] [PubMed]
  143. Wang, X.; Jiang, L.; Liu, Q. miR-18a-5p derived from mesenchymal stem cells-extracellular vesicles inhibits ovarian cancer cell proliferation, migration, invasion, and chemotherapy resistance. J. Transl. Med. 2022, 20, 258. [Google Scholar] [CrossRef] [PubMed]
  144. Wang, W.; Yu, S.; Li, W.; Hu, H.; Zou, G. Silencing of lncRNA SNHG17 inhibits the tumorigenesis of epithelial ovarian cancer through regulation of miR-485-5p/AKT1 axis. Biochem. Biophys. Res. Commun. 2022, 637, 117–126. [Google Scholar] [CrossRef]
  145. Zou, Y.; Zhou, J.-Y.; Guo, J.-B.; Wang, L.-Q.; Luo, Y.; Zhang, Z.-Y.; Liu, F.-Y.; Tan, J.; Wang, F.; Huang, O.-P. The presence of KRAS, PPP2R1A and ARID1A mutations in 101 Chinese samples with ovarian endometriosis. Mutat. Res. Fundam. Mol. Mech. Mutagen. 2018, 809, 1–5. [Google Scholar] [CrossRef]
  146. Xiao, W.; Awadallah, A.; Xin, W. Loss of ARID1A/BAF250a expression in ovarian endometriosis and clear cell carcinoma. Int. J. Clin. Exp. Pathol. 2012, 5, 642–650. [Google Scholar] [PubMed]
  147. Borrelli, G.M.; Abrão, M.S.; Taube, E.T.; Darb-Esfahani, S.; Köhler, C.; Chiantera, V.; Mechsner, S. (Partial) Loss of BAF250a (ARID1A) in rectovaginal deep-infiltrating endometriosis, endometriomas and involved pelvic sentinel lymph nodes. Mol. Hum. Reprod. 2016, 22, 329–337. [Google Scholar] [CrossRef]
  148. Barbieri, R.L. Endometriosis and the estrogen threshold theory. Relation to surgical and medical treatment. J. Reprod. Med. 1998, 43 (Suppl. S3), 287–292. [Google Scholar]
  149. Giannella, L.; Marconi, C.; Di Giuseppe, J.; Carpini, G.D.; Fichera, M.; Grelloni, C.; Giuliani, L.; Montanari, M.; Insinga, S.; Ciavattini, A. Malignant Transformation of Postmenopausal Endometriosis: A Systematic Review of the Literature. Cancers 2021, 13, 4026. [Google Scholar] [CrossRef] [PubMed]
  150. Lee, H.J.; Lee, B.; Choi, H.; Kim, T.; Kim, Y.; Kim, Y.B. Impact of Hormone Replacement Therapy on Risk of Ovarian Cancer in Postmenopausal Women with De Novo Endometriosis or a History of Endometriosis. Cancers 2023, 15, 1708. [Google Scholar] [CrossRef] [PubMed]
  151. Bulun, S.E.; Yang, S.; Fang, Z.; Gurates, B.; Tamura, M.; Sebastian, S. Estrogen Production and Metabolism in Endometriosis. Ann. N. Y. Acad. Sci. 2002, 955, 75–85. [Google Scholar] [CrossRef] [PubMed]
  152. Noble, L.S.; Takayama, K.; Zeitoun, K.M.; Putman, J.M.; Johns, D.A.; Hinshelwood, M.M.; Agarwal, V.R.; Zhao, Y.; Carr, B.R.; Bulun, S.E. Prostaglandin E2 stimulates aromatase expression in endometriosis-derived stromal cells. J. Clin. Endocrinol. Metab. 1997, 82, 600–606. [Google Scholar] [CrossRef]
  153. Ferrero, S.; Remorgida, V.; Maganza, C.; Venturini, P.L.; Salvatore, S.; Papaleo, E.; Candiani, M.; Maggiore, U.L.R. Aromatase and endometriosis: Estrogens play a role. Ann. N. Y. Acad. Sci. 2014, 1317, 17–23. [Google Scholar] [CrossRef]
  154. Sun, H.S.; Hsiao, K.Y.; Hsu, C.C.; Wu, M.H.; Tsai, S.J. Transactivation of steroidogenic acute regulatory protein in human endometriotic stromalcells is mediated by the prostaglandin EP2 receptor. Endocrinology 2003, 144, 3934–3942. [Google Scholar] [CrossRef]
  155. Mori, T.; Ito, F.; Koshiba, A.; Kataoka, H.; Takaoka, O.; Okimura, H.; Khan, K.N.; Kitawaki, J. Local estrogen formation and its regulation in endometriosis. Reprod. Med. Biol. 2019, 18, 305–311. [Google Scholar] [CrossRef]
  156. de Almeida Asencio, F.; Ribeiro, H.A.; Ayrosa Ribeiro, P.; Malzoni, M.; Adamyan, L.; Ussia, A.; Gomel, V.; Martin, D.C.; Koninckx, P.R. Symptomatic endometriosis developing several years after menopause in the absence of increased circulating estrogen concentrations: A systematic review and seven case reports. Gynecol. Surg. 2019, 16, 3. [Google Scholar] [CrossRef]
  157. Watrowski, R.; Schuster, E.; Hofstetter, G.; Fischer, M.B.; Mahner, S.; Van Gorp, T.; Polterauer, S.; Zeillinger, R.; Obermayr, E. Association of Four Interleukin-8 Polymorphisms (−251 A>T, +781 C>T, +1633 C>T, +2767 A>T) with Ovarian Cancer Risk: Focus on Menopausal Status and Endometriosis-Related Subtypes. Biomedicines 2024, 12, 321. [Google Scholar] [CrossRef]
  158. Secosan, C.; Balulescu, L.; Brasoveanu, S.; Balint, O.; Pirtea, P.; Dorin, G.; Pirtea, L. Endometriosis in Menopause—Renewed Attention on a Controversial Disease. Diagnostics 2020, 10, 134. [Google Scholar] [CrossRef]
  159. Tan, D.A.; Almaria, M.J.G. Postmenopausal endometriosis: Drawing a clearer clinical picture. Climacteric 2018, 21, 249–255. [Google Scholar] [CrossRef]
  160. Streuli, I.; Gaitzsch, H.; Wenger, J.-M.; Petignat, P. Endometriosis after menopause: Physiopathology and management of an uncommon condition. Climacteric 2017, 20, 138–143. [Google Scholar] [CrossRef]
  161. Benagiano, G.; Guo, S. Age-dependent phenotypes of ovarian endometriomas. Reprod. Med. Biol. 2022, 21, e12438. [Google Scholar] [CrossRef]
  162. Kobayashi, H.; Sumimoto, K.; Kitanaka, T.; Yamada, Y.; Sado, T.; Sakata, M.; Yoshida, S.; Kawaguchi, R.; Kanayama, S.; Shigetomi, H.; et al. Ovarian endometrioma—Risks factors of ovarian cancer development. Eur. J. Obstet. Gynecol. Reprod. Biol. 2008, 138, 187–193. [Google Scholar] [CrossRef]
  163. Krawczyk, N.; Banys-Paluchowski, M.; Schmidt, D.; Ulrich, U.; Fehm, T. Endometriosis-associated Malignancy. Geburtshilfe Frauenheilkd. 2016, 76, 176–181. [Google Scholar] [CrossRef]
  164. Ulrich, U.; Richter, O.; Wardelmann, E.; Valter, M.; Schmutzler, R.; Sillem, M.; Possover, M.; Mallmann, P. [Endometriosis and malignoma]. Zentralbl. Gynakol. 2003, 125, 239–242. [Google Scholar]
  165. Ulrich, U.; Rhiem, K.; Kaminski, M.; Wardelmann, E.; Trog, D.; Valter, M.; Richter, O.N. Parametrial and rectovaginal adenocarcinoma arising from endometriosis. Int. J. Gynecol. Cancer 2005, 15, 1206–1209. [Google Scholar] [CrossRef]
  166. Paulino, E.; de Melo, A.C.; da Silva, V.F. Endometrioid Carcinoma Arising from an Endometriosis-Associated Abdominal Wall Scar. Am. J. Case Rep. 2020, 21, e922973. [Google Scholar] [CrossRef]
  167. Driva, T.S.; Schatz, C.; Haybaeck, J. Endometriosis-Associated Ovarian Carcinomas: How PI3K/AKT/mTOR Pathway Affects Their Pathogenesis. Biomolecules 2023, 13, 1253. [Google Scholar] [CrossRef]
  168. Yagyu, T.; Tsuji, Y.; Haruta, S.; Kitanaka, T.; Yamada, Y.; Kawaguchi, R.; Kanayama, S.; Tanase, Y.; Kurita, N.; Kobayashi, H. Activation of mammalian target of rapamycin in postmenopausal ovarian endometriosis. Int. J. Gynecol. Cancer 2006, 16, 1545–1551. [Google Scholar] [CrossRef]
  169. Thomsen, L.H.; Schnack, T.H.; Buchardi, K.; Hummelshoj, L.; Missmer, S.A.; Forman, A.; Blaakaer, J. Risk factors of epithelial ovarian carcinomas among women with endometriosis: A systematic review. Acta Obstet. Gynecol. Scand. 2016, 96, 761–778. [Google Scholar] [CrossRef]
  170. Hung, S.W.; Zhang, R.; Tan, Z.; Chung, J.P.W.; Zhang, T.; Wang, C.C. Pharmaceuticals targeting signaling pathways of endometriosis as potential new medical treatment: A review. Med. Res. Rev. 2021, 41, 2489–2564. [Google Scholar] [CrossRef]
  171. Husseinzadeh, N.; Husseinzadeh, H.D. mTOR inhibitors and their clinical application in cervical, endometrial and ovarian cancers: A critical review. Gynecol. Oncol. 2014, 133, 375–381. [Google Scholar] [CrossRef]
  172. Vézina, C.; Kudelski, A.; Sehgal, S.N. Rapamycin (AY-22,989), a new antifungal antibiotic. I. Taxonomy of the producing streptomycete and isolation of the active principle. J. Antibiot. 1975, 28, 721–726. [Google Scholar] [CrossRef]
  173. Randall, T. New antirejection drugs anticipated. JAMA 1990, 264, 1225. [Google Scholar] [CrossRef]
  174. Houchens, D.P.; Ovejera, A.A.; Riblet, S.M.; Slagel, D.E. Human brain tumor xenografts in nude mice as a chemotherapy model. Eur. J. Cancer Clin. Oncol. 1983, 19, 799–805. [Google Scholar] [CrossRef]
  175. Sabers, C.J.; Martin, M.M.; Brunn, G.J.; Williams, J.M.; Dumont, F.J.; Wiederrecht, G.; Abraham, R.T. Isolation of a protein target of the FKBP12-rapamycin complex in mammalian cells. J. Biol. Chem. 1995, 270, 815–822. [Google Scholar] [CrossRef]
  176. Kunz, J.; Henriquez, R.; Schneider, U.; Deuter-Reinhard, M.; Movva, N.; Hall, M.N. Target of rapamycin in yeast, TOR2, is an essential phosphatidylinositol kinase homolog required for G1 progression. Cell 1993, 73, 585–596. [Google Scholar] [CrossRef]
  177. Kajiwara, M.; Masuda, S. Role of mTOR Inhibitors in Kidney Disease. Int. J. Mol. Sci. 2016, 17, 975. [Google Scholar] [CrossRef]
  178. Blagosklonny, M.V. Rapalogs in cancer prevention: Anti-aging or anticancer? Cancer Biol. Ther. 2012, 13, 1349–1354. [Google Scholar] [CrossRef]
  179. Viana, S.D.; Reis, F.; Alves, R. Therapeutic Use of mTOR Inhibitors in Renal Diseases: Advances, Drawbacks, and Challenges. Oxidative Med. Cell. Longev. 2018, 2018, 3693625. [Google Scholar] [CrossRef]
  180. Vargas-Toscano, A.; Nickel, A.-C.; Li, G.; Kamp, M.A.; Muhammad, S.; Leprivier, G.; Fritsche, E.; Barker, R.A.; Sabel, M.; Steiger, H.-J.; et al. Rapalink-1 Targets Glioblastoma Stem Cells and Acts Synergistically with Tumor Treating Fields to Reduce Resistance against Temozolomide. Cancers 2020, 12, 3859. [Google Scholar] [CrossRef]
  181. Hsu, C.-M.; Lin, P.-M.; Tsai, Y.-T.; Tsai, M.-S.; Tseng, C.-H.; Lin, S.-F.; Yang, M.-Y. NVP-BEZ235, a dual PI3K-mTOR inhibitor, suppresses the growth of FaDu hypopharyngeal squamous cell carcinoma and has a synergistic effect with Cisplatin. Cell Death Discov. 2018, 4, 57. [Google Scholar] [CrossRef]
  182. Skorda, A.; Bay, M.L.; Hautaniemi, S.; Lahtinen, A.; Kallunki, T. Kinase Inhibitors in the Treatment of Ovarian Cancer: Current State and Future Promises. Cancers 2022, 14, 6257. [Google Scholar] [CrossRef]
  183. Choi, D.; Jo, M.; Lee, E.; Lee, D.; Choi, J. Dienogest enhances autophagy induction in endometriotic cells by impairing activation of AKT, ERK1/2, and mTOR. Fertil. Steril. 2015, 104, e159. [Google Scholar] [CrossRef]
  184. Ren, X.; Wang, Y.; Xu, G.; Dai, L. Effect of rapamycin on endometriosis in mice. Exp. Ther. Med. 2016, 12, 101–106. [Google Scholar] [CrossRef]
  185. Kacan, T.; Yildiz, C.; Kacan, S.B.; Seker, M.; Ozer, H.; Cetin, A.; Farquhar, C.; Crossley, S.; Adamson, G.; Kennedy, S.; et al. Everolimus as an mTOR Inhibitor Suppresses Endometriotic Implants: An Experimental Rat Study. Geburtshilfe Frauenheilkd. 2017, 77, 66–72. [Google Scholar] [CrossRef]
  186. Matsuzaki, S.; Pouly, J.L.; Canis, M. In vitro and in vivo effects of MK2206 and chloroquine combination therapy on endometriosis: Autophagy may be required for regrowth of endometriosis. Br. J. Pharmacol. 2018, 175, 1637–1653. [Google Scholar] [CrossRef]
  187. Barra, F.; Ferrero, S. mTor Inhibitors for the Treatment of Endometriosis. Geburtshilfe Frauenheilkd. 2018, 78, 283–284. [Google Scholar] [CrossRef]
  188. Ji, J.X.; Cochrane, D.R.; Negri, G.L.; Colborne, S.; Miko, S.E.S.; Hoang, L.N.; Farnell, D.; Tessier-Cloutier, B.; Huvila, J.; Thompson, E.; et al. The proteome of clear cell ovarian carcinoma. J. Pathol. 2022, 258, 325–338. [Google Scholar] [CrossRef]
  189. Khalique, S.; Nash, S.; Mansfield, D.; Wampfler, J.; Attygale, A.; Vroobel, K.; Kemp, H.; Buus, R.; Cottom, H.; Roxanis, I.; et al. Quantitative assessment and prognostic associations of the immune landscape in ovarian clear cell carcinoma. Cancers 2021, 13, 3854. [Google Scholar] [CrossRef]
  190. Caumanns, J.J.; van Wijngaarden, A.; Kol, A.; Meersma, G.J.; Jalving, M.; Bernards, R.; van der Zee, A.G.; Wisman, G.B.A.; de Jong, S. Low-dose triple drug combination targeting the PI3K/AKT/mTOR pathway and the MAPK pathway is an effective approach in ovarian clear cell carcinoma. Cancer Lett. 2019, 461, 102–111. [Google Scholar] [CrossRef]
  191. Shi, Y.; Frankel, A.; Radvanyi, L.G.; Penn, L.Z.; Miller, R.G.; Mills, G.B. Rapamycin enhances apoptosis and increases sensitivity to cisplatin in vitro. Cancer Res. 1995, 55, 1982–1988. [Google Scholar]
  192. Mabuchi, S.; Altomare, D.A.; Cheung, M.; Zhang, L.; Poulikakos, P.I.; Hensley, H.H.; Schilder, R.J.; Ozols, R.F.; Testa, J.R. RAD001 inhibits human ovarian cancer cell proliferation, enhances cisplatin-induced apoptosis, and prolongs survival in an ovarian cancer model. Clin. Cancer Res. 2007, 13, 4261–4270. [Google Scholar] [CrossRef]
  193. Wong Te Fong, A.C.; Thavasu, P.; Gagrica, S.; Swales, K.E.; Leach, M.O.; Cosulich, S.C.; Chung, Y.L.; Banerji, U. Evaluation of the combination of the dual m-TORC1/2 inhibitor vistusertib (AZD2014) and paclitaxel in ovarian cancer models. Oncotarget 2017, 8, 113874–113884. [Google Scholar] [CrossRef]
  194. Xiao, Y.; Yu, Y.; Jiang, P.; Li, Y.; Wang, C.; Zhang, R. The PI3K/mTOR dual inhibitor GSK458 potently impedes ovarian cancer tumorigenesis and metastasis. Cell. Oncol. 2020, 43, 669–680. [Google Scholar] [CrossRef]
  195. van der Ploeg, P.; Uittenboogaard, A.; Thijs, A.M.; Westgeest, H.M.; Boere, I.A.; Lambrechts, S.; van de Stolpe, A.; Bekkers, R.L.; Piek, J.M. The effectiveness of monotherapy with PI3K/AKT/mTOR pathway inhibitors in ovarian cancer: A meta-analysis. Gynecol. Oncol. 2021, 163, 433–444. [Google Scholar] [CrossRef]
  196. A Konstantinopoulos, P.; Gonzalez-Martin, A.; Cruz, F.M.; Friedlander, M.; Glasspool, R.; Lorusso, D.; Marth, C.; Monk, B.J.; Kim, J.-W.; Hinson, P.; et al. EPIK-O/ENGOT-OV61: Alpelisib plus olaparib vs cytotoxic chemotherapy in high-grade serous ovarian cancer (phase III study). Futur. Oncol. 2022, 18, 3481–3492. [Google Scholar] [CrossRef]
  197. Fiorentino, F.; Krell, J.; de la Rosa, C.N.; Webber, L. DICE: Dual mTorc Inhibition in advanCed/recurrent Epithelial ovarian cancer resistant to standard treatment—A study protocol for a randomised trial investigating a novel therapy called TAK228. Trials 2022, 23, 261. [Google Scholar] [CrossRef]
  198. Zhao, L.; Lee, V.H.F.; Ng, M.K.; Yan, H.; Bijlsma, M.F. Molecular subtyping of cancer: Current status and moving toward clinical applications. Brief. Bioinform. 2018, 20, 572–584. [Google Scholar] [CrossRef]
  199. Bendifallah, S.; Dabi, Y.; Suisse, S.; Delbos, L.; Spiers, A.; Poilblanc, M.; Golfier, F.; Jornea, L.; Bouteiller, D.; Fernandez, H.; et al. Validation of a Salivary miRNA Signature of Endometriosis—Interim Data. NEJM Evid. 2023, 2, EVIDoa2200282. [Google Scholar] [CrossRef]
  200. Ediriweera, M.K.; Tennekoon, K.H.; Samarakoon, S.R. Role of the PI3K/AKT/mTOR signaling pathway in ovarian cancer: Biological and therapeutic significance. Semin. Cancer Biol. 2019, 59, 147–160. [Google Scholar] [CrossRef]
Figure 1. The binding of growth factors to receptor tyrosine kinase (RTK) results in the activation of phosphatidylinositol 3′-kinase (PI3K). Activated PI3K phosphorylates phosphatidylinositol-4,5-biphosphate (PIP2) to form phosphatidylinositol-3,4,5-triphosphate (PIP3). PIP3 binds to the pleckstrin homology domains of phosphoinositide-dependent kinase 1 (PDK1) and mediates the phosphorylation of AKT on Thr308. The phosphorylation of AKT-Ser473 is mediated by mTORC2. Activated AKT then promotes the phosphorylation of Thr246 on PRAS40. In addition, AKT inhibits the activity of the tuberous sclerosis complex (TSC1)/TSC2 complex, which results in increases in the levels of GTP-bound Rheb and the activation of mTORC1. Activated mTORC1 phosphorylates multiple protein substrates, including PRAS40, 4E-binding protein 1 (4E-BP1), ribosomal protein S6 kinase 1 (S6K1), and growth factor receptor bound 10 (Grb10). The phosphorylation of PRAS40 results in dissociation from the mTORC1 complex. Amino acids can stimulate mTORC1 complex as they cause Rag GTPase to switch to active conformation. Active Rag GTPase interacts with mTORC1 subunit raptor, translocating the complex from the cytoplasm to the lysosomal membrane where Rheb resides. Rheb directly binds and activates mTOR. In contrast to growth factors, cellular stresses, hypoxia, and energy deprivation promote the activity of the TSC1/TSC2 complex via AMP-activated protein kinase (AMPK) phosphorylations of TSC2, thus resulting in the inhibition of the mTORC1 pathway. The tumour suppressor protein phosphatase and tensin homolog (PTEN) reverses PIP3 to PIP2 and antagonizes the PI3K–AKT mTOR pathway. Image adapted from Wiza et al. [34].
Figure 1. The binding of growth factors to receptor tyrosine kinase (RTK) results in the activation of phosphatidylinositol 3′-kinase (PI3K). Activated PI3K phosphorylates phosphatidylinositol-4,5-biphosphate (PIP2) to form phosphatidylinositol-3,4,5-triphosphate (PIP3). PIP3 binds to the pleckstrin homology domains of phosphoinositide-dependent kinase 1 (PDK1) and mediates the phosphorylation of AKT on Thr308. The phosphorylation of AKT-Ser473 is mediated by mTORC2. Activated AKT then promotes the phosphorylation of Thr246 on PRAS40. In addition, AKT inhibits the activity of the tuberous sclerosis complex (TSC1)/TSC2 complex, which results in increases in the levels of GTP-bound Rheb and the activation of mTORC1. Activated mTORC1 phosphorylates multiple protein substrates, including PRAS40, 4E-binding protein 1 (4E-BP1), ribosomal protein S6 kinase 1 (S6K1), and growth factor receptor bound 10 (Grb10). The phosphorylation of PRAS40 results in dissociation from the mTORC1 complex. Amino acids can stimulate mTORC1 complex as they cause Rag GTPase to switch to active conformation. Active Rag GTPase interacts with mTORC1 subunit raptor, translocating the complex from the cytoplasm to the lysosomal membrane where Rheb resides. Rheb directly binds and activates mTOR. In contrast to growth factors, cellular stresses, hypoxia, and energy deprivation promote the activity of the TSC1/TSC2 complex via AMP-activated protein kinase (AMPK) phosphorylations of TSC2, thus resulting in the inhibition of the mTORC1 pathway. The tumour suppressor protein phosphatase and tensin homolog (PTEN) reverses PIP3 to PIP2 and antagonizes the PI3K–AKT mTOR pathway. Image adapted from Wiza et al. [34].
Cancers 16 02160 g001
Table 2. Currently recruiting clinical trials with PI3k–AKT–mTOR inhibitors for ovarian cancer treatment registered on ClinicalTrials.gov up to the end of February 2024.
Table 2. Currently recruiting clinical trials with PI3k–AKT–mTOR inhibitors for ovarian cancer treatment registered on ClinicalTrials.gov up to the end of February 2024.
Trial TitleDrugTargetTrialPatient GroupStudy DesignPrimary OutcomeSecondary OutcomesFirst PostedClinical Trial ID
A Study to Evaluate the Efficacy and Safety of CYH33 in Patients with Recurrent/Persistent Ovary Clear Cell CarcinomaCYH33PI3K 1Phase II study, single armRecurrent/persistent ovary, fallopian tube or primary peritoneal clear-cell carcinoma, harbouring PIK3CA 2 hotspot mutations (n = 86)CYH33 monotherapyORR 3 in patients with PI3KCA hotspot mutationPFS 4, OS 5, biomarker alterations impacting PI3K pathway14 September 2021NCT05043922
Dose Escalation of RMC-5552 Monotherapy in Relapsed/Refractory Solid TumourRMC-5552mTORC1 Phase I, single armRelapsed or advanced refractory solid tumours. (n = 108)RMC-55 monotherapy with dose escalation phase and dose expansion phase (stratified by mTOR pathway aberrations)AEs 6, DLTs 7PKs 8, ORR (overall response rate), DOR 91 March 2021NCT04774952
A Study Evaluating the Efficacy and Safety of Biomarker-Driven Therapies in Patients with Persistent or Recurrent Rare Epithelial Ovarian Tumours (BOUQUET)IpatasertibinavolisibAKT PI3KPhase II, platform studyPersistent or recurrent rare ovarian cancer (n = 400)Stratification into 8 arms depending on biomarker expression: (1) ipatasertib + paclitaxel, (2) cobimetinib, (3) trastuzumab emtansine, (4) atezolizumab + bevacizumab, (5) giredestrant + abemaciclib, (6) inavolisib + palbociclib, (7) inavolisib + palbociclib + letrozole, and (8) inavolisib + olaparib.ORR 3DOR, DCR 10, PFS, OS, and AEs.18 June 2021NCT04931342
Testing the Addition of Ipatasertib to the Usual Chemotherapy Treatment (Paclitaxel and Carboplatin) for Stage III or IV Epithelial Ovarian CancerIpatasertibAKT Single-arm phase I/Ib trialHigh-grade serous ovarian cancer, and endometrioid adenocarcinoma. (n = 24)Carboplatin + paclitaxel for up to 3 cycles + ipatasertib until 24 h before surgeryDLT 11 in dose escalation and dose expansion phase, AEsTumour response14 March 2022NCT05276973
SMMART Adaptive Clinical Treatment (ACT) TrialAlpelisibPI3KEarly phase 1, open-label, multiple armAdvanced and recurrent malignant solid neoplasm
ovarian, pancreatic,
prostate, sarcoma
breast
Tumour mutational screening and blood collection followed by assignment to one of the trial armsProportion of participants who receive an ACT therapy based an ACT Tumour Board recommendationAEs, ORR, PFS, OS, DSP, toxicity, and tolerability, DSS 1214 February 2022NCT05238831
Phase I Trial of VS-6766 Alone and in Combination with Everolimus (RAF/MEK)EverolimusmTORC1 Phase I, non-randomized Solid tumours or multiple myeloma refractory to conventional treatment (n = 104)3 + 3 dose escalation design with an intermittent once a week schedule A, and if tolerated, twice a week schedule B for VS-6766 in combination with everolimus; the dose expansion cohort will include KRAS mutant lung cancerRecommended phase 2 dose (R2PD), for VS-6766, alone and in combination with everolimus, toxicity profile of VS-6766 alone and in combination with everolimusPKs of VS-6766, tumour response of VS-6766, as a single agent and also in combination with everolimus3 April 2015NCT02407509
First-in-Human Study of STX-478 as Monotherapy and in Combination with Other Antineoplastic Agents in Participants with Advanced Solid TumoursSTX-478PI3KMultipart, open-label, phase 1/2 study, sequential assignmentAdvanced solid tumours
breast cancer
gynaecologic cancer
HNSCC
solid tumours
Part 1 will evaluate STX-478 as monotherapy in participants with advanced solid tumours and breast cancer; part 2 will evaluate STX-478 therapy as combination therapy with fulvestrant in participants with breast cancerDLT, PKs, ORR, AEs, change in cDNA levels. and glucose metabolism biomarkersNo secondary outcome measures 14 March 2023NCT05768139
Signal TrAnsduction Pathway Activity Analysis in OVarian cancER (STAPOVER)Everolimus mTORC1Phase II, phase III, non-randomized study.Recurrent and refractory ovarian cancerStratified by functional signal transduction pathway (STP): ER (oestrogen receptors) active tumours, AR (Androgen receptors) active tumours, PI3K active tumours, HH and/or PI3K active tumours.PFSProportion of patients with an actionable active pathway for which targeted therapy is recommended in relation to the number of patients who underwent a biopsy, proportion of patients who receive matched targeted therapy in relation to the number of patients included in each study arm, BOR, one-year survival, OS, predictive value of STA-analysis results on matched targeted therapy response. side effects, health-related quality of lifecost-effectiveness, change in pathway activity score after disease progression compared to pathway activity score before start of matched therapy8 March 2018NCT03458221
A Study to Evaluate the Safety and Tolerability of TOS-358 in Adults with Select Solid TumoursTOS-358PI3KPhase 1, open-label, single armSolid tumours, colorectal,
gastric, HER2-negative breast cancer,
non-small Cell lung cancer,
squamous cell carcinoma of head and neck,
urothelial carcinoma,
cervical cancer,
ovarian cancer,
endometrial cancer
Part 1 (multiple ascending doses, locally advanced, recurrent or metastatic select solid tumours with PIK3CA mutation per local assessment; part 2 (RP2D determined in part 1) Rate of dose-limiting toxicities (DLTs),
incidence and severity of adverse events (AEs) and specific laboratory abnormalities graded according to NCI CTCAE v5
No secondary outcome measures 13 January 2023NCT05683418
Targeted Therapy Directed by Genetic Testing in Treating Patients with Locally Advanced or Advanced Solid Tumours, The ComboMATCH Screening TrialAlpelisibPI3KRandomized, open-label, phase II.Locally advanced or advanced solid tumours, advanced Malignant Solid
Breast Cancer
Endometrial Carcinoma
Fallopian Tube Carcinoma
Ovarian Carcinoma
Primary Peritoneal Carcinoma
Tumour mutational screening and assignment to 1 of 20 treatment subprotocols.Accrual, assignment and enrolment to the trial.Rate of positive outcomes within the treatment trial defined cohorts
Concordance between whole exome sequencing (WES) and results from the Designated Laboratory (DL)
3 October 2022NCT05564377
1 PI3K = phosphoinositide 3-kinase, 2 PIK3CA = phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha, 3 ORR = objective response rate, 4 PFS = progression-free survival, 5 OS = overall survival, 6 AEs = adverse events, 7 DLTs = dose-limiting toxicities, 8 PKs = pharmacokinetics, 9 DOR = duration of response, 10 DCR = disease control rate, 11 DLT = dose-limiting toxicity, 12 DSS = disease-specific survival.
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Hablase, R.; Kyrou, I.; Randeva, H.; Karteris, E.; Chatterjee, J. The “Road” to Malignant Transformation from Endometriosis to Endometriosis-Associated Ovarian Cancers (EAOCs): An mTOR-Centred Review. Cancers 2024, 16, 2160. https://doi.org/10.3390/cancers16112160

AMA Style

Hablase R, Kyrou I, Randeva H, Karteris E, Chatterjee J. The “Road” to Malignant Transformation from Endometriosis to Endometriosis-Associated Ovarian Cancers (EAOCs): An mTOR-Centred Review. Cancers. 2024; 16(11):2160. https://doi.org/10.3390/cancers16112160

Chicago/Turabian Style

Hablase, Radwa, Ioannis Kyrou, Harpal Randeva, Emmanouil Karteris, and Jayanta Chatterjee. 2024. "The “Road” to Malignant Transformation from Endometriosis to Endometriosis-Associated Ovarian Cancers (EAOCs): An mTOR-Centred Review" Cancers 16, no. 11: 2160. https://doi.org/10.3390/cancers16112160

APA Style

Hablase, R., Kyrou, I., Randeva, H., Karteris, E., & Chatterjee, J. (2024). The “Road” to Malignant Transformation from Endometriosis to Endometriosis-Associated Ovarian Cancers (EAOCs): An mTOR-Centred Review. Cancers, 16(11), 2160. https://doi.org/10.3390/cancers16112160

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