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Article

Anti-Müllerian Hormone Expression in Endometrial Cancer Tissue

by
Marek Gowkielewicz
1,*,
Aleksandra Lipka
1,
Aleksandra Piotrowska
2,
Marta Szadurska-Noga
3,
Jacek J. Nowakowski
4,
Piotr Dzięgiel
2,5,
Mariusz Krzysztof Majewski
6,
Marcin Jozwik
1 and
Marta Majewska
6
1
Department of Gynecology and Obstetrics, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-045 Olsztyn, Poland
2
Division of Histology and Embryology, Department of Human Morphology and Embryology, Wroclaw Medical University, 50-368 Wroclaw, Poland
3
Department of Pathomorphology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-561 Olsztyn, Poland
4
Department of Ecology & Environmental Protection, University of Warmia and Mazury in Olsztyn, 10–727 Olsztyn, Poland
5
Department of Physiotherapy, Wroclaw University School of Physical Education, 51-612 Wroclaw, Poland
6
Department of Human Physiology, School of Medicine, Collegium Medicum, University of Warmia and Mazury in Olsztyn, 10-082 Olsztyn, Poland
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2019, 20(6), 1325; https://doi.org/10.3390/ijms20061325
Submission received: 24 January 2019 / Revised: 11 March 2019 / Accepted: 12 March 2019 / Published: 15 March 2019
(This article belongs to the Section Molecular Oncology)
Browse Figures
Versions Notes

Abstract

:
Anti-Müllerian hormone (AMH) is a commonly known factor secreted by Sertoli cells, responsible for regression of the Müllerian ducts in male fetuses. AMH has also other functions in humans. In vivo and in vitro studies have shown that AMH inhibits cell cycle and induces apoptosis in cancers with AMH receptors. The aim of the study was to assess whether the tissue of pre-cancerous states of endometrium (PCS) and various histopathologic types of endometrial cancer (EC) exhibit the presence of AMH. We aimed to investigate whether the potential presence of the protein concerns menopausal women or those regularly menstruating, and whether is related to cancers with a good or a bad prognosis, as well as what other factors may influence AMH expression. The undertaken analysis was carried out on tissues retrieved from 232 women who underwent surgical treatment for PCS and EC. Tissues were prepared for immunohistochemical assessment with the use of a tissue microarrays method. AMH expression was confirmed in 23 patients with well differentiated endometrioid adenocarcinoma (G1), moderately differentiated endometrioid adenocarcinoma (G2), clear cell carcinoma (CCA) and nonatypical hyperplasia. AMH was not found in EC tissues in regularly menstruating women. An appropriately long mean period of breastfeeding in line with a prolonged period of hormonal activity had a positive effect on AMH expression. Our results may suggest that AMH is a factor which protects the organism against cancer, and should be further investigated as a potential prognosis marker and a therapeutic agent.

1. Introduction

Anti-Müllerian hormone (AMH) also known as Müllerian-Inhibiting Substance, is a well-studied regulatory molecule in reproductive functioning, especially in sexual differentiation during early embryonic development [1]. AMH is a 140 kDa dimeric glycoprotein encoded by a 2.75 kbp gene composed of five exons located within chromosome 19 p 13.3, which belongs to the transforming growth factor-beta (TGF-β) family [2,3,4,5]. To fulfil its biological role and to exert specific effect, AMH interacts with AMH type II specific (AMHRII) and AMH type I general (AMHRI) membrane receptors [6,7,8]. AMH is secreted by Sertoli cells of the male embryo testes as early as during the 8th–10th week of gestation [9,10,11]. This hormone is responsible for regression of the Müllerian ducts in the processes of apoptosis, auto-phagocytosis, cell migration and remodeling [12,13,14,15,16]. Postnatally, the serum levels of AMH increase significantly until puberty and then slowly decline throughout the rest of the man’s life [17]. In female embryos, absence of AMH allows the Müllerian ducts to develop into the uterus, the fallopian tubes, the upper third of the vagina and the outer lining of the ovaries [8,16]. Around the 36th week of gestation, granulosa cells of small growing ovarian follicles undergoing initial recruitment begin to secrete AMH [10,18,19]. Shortly after birth in females, the serum AMH concentration drops but it increases again around the age of two [18]. The serum AMH level reaches its peak at about the age of 25 years and as the woman approaches menopause a progressive decrease occurs, and the substance ultimately becomes undetectable [17,18]. The gradual decline of serum AMH concentration is parallel with the depletion of the number of growing ovarian follicles [20,21], which makes this hormone a reliable prognostic biomarker of ovarian reserve, as it is helpful in predicting the remaining length of the woman’s reproductive lifespan [22,23,24,25,26]. Moreover, since the serum AMH level reflects the quantity and quality of the ovarian follicular pool, it is also a dependable indicator of response to in vitro fertilization protocols in assessing the pregnancy success [17,27,28,29,30].
The persistence of AMH in males and females implies its multi-functional activity in both genders [31,32]. In the ovaries, AMH inhibits progesterone production, granulosa cell proliferation and primordial follicle activation [33,34,35,36]. In the testes, AMH influences androgen steroidogenesis by Leydig cells, whereas the stage-specific expression pattern within seminiferous tubules points to its substantial role in spermatogenesis [37,38]. Moreover, serum AMH is useful to monitor testicular function in boys and its low circulating levels may reflect primary testicular dysfunction, whereas undetectable levels indicate anorchidism or gonadal dysgenesis [39,40].
Clinical applications of AMH as a diagnostic biomarker and a promising therapeutic agent for AMH analogues have been developed recently [41,42]. Müllerian duct-derived tissues are the main source of various gynecologic tumors and since AMH causes regression of the male Müllerian ducts in male embryos by binding via tissue-specific AMHRII, it has also been proposed to inhibit the growth of gynecologic tumors [8]. In fact, AMH exerts an inhibitory effect by inducing apoptosis and cell cycle arrest in AMHRII positive endometrial cancer cell lines [8,43]. It has been assumed that the hormone may be a promising agent in effective treatment of various reproductive tract cancer types that express AMHRII, acting as an anti-cancer factor and cooperating with traditional chemotherapeutics [8,44,45,46]. High circulating AMH levels are supposed to be proportional to the protection effect against the development of endometrial cancer [47]. Furthermore, the serum AMH determination is useful to control the progress of ovarian granulosa cell and sex cord tumors [39,48,49]. Since the granulosa cell tumors secrete AMH in proportion to tumor burden, the changes in serum AMH reflect both recurrences and response to therapy [50,51,52].
As far, apart from testes and ovaries, AMH expression was confirmed in the endometrium of reproductive-age women, motoneurons of mice (where it works as protective factor) as well as in trace amounts in skeletal muscles, the sciatic nerve, the spinal cord and the brain of mice [53,54].
Endometrial cancer (EC) is the fourth most common cancer affecting women and the most common gynecologic cancer in developed countries [55,56]. Its established risk factors include obesity, use of exogenous estrogen after menopause, hypertension, diabetes, nulliparity, early menarche or late menopause [57,58]. Until now, data concerning the association between AMH and risks of endometrial cancer is still ambiguous [8,47,53]. Taking into consideration the above aspects, and the fact that AMH expression has not been previously investigated in EC, the goal of our study was to verify if there were associations between the AMH expression levels in tissues of various endometrial cancer types in terms of comorbidities, tumor malignancy, stage, histological type and grade.

2. Results

All specimens were divided into eight groups, based on their histopathological type: endometrioid adenocarcinoma G1 (n = 49); G2 (n = 149); G3 (n = 6); nonatypical hyperplasia (n = 8), atypical hyperplasia (n = 4), serous adenocarcinoma (n = 8), clear cell adenocarcinoma (n = 5) and mixed adenocarcinoma (n = 5). Among 232 tissue microarray (TMA) specimens, 23 showed a positive AMH reaction (Figure 1). The detected AMH expression and its mean values are presented in Table 1.
For all patients, there were no differences in the overall AMH expression in the three collected tissue samples (F-test with Greenhouse-Geisser correction, ἐ = 0.714, p = 0.501), therefore in the analysis the average measure of AMH protein expression was used.
There was statistically significant differentiation of AMH protein expression between cancer types (Kruskal–Wallis ANOVA, H (7, N = 232) = 20.636, p = 0.004). Expression was observed in the tissues of (pre-cancerous state) nonatypical hyperplasia, G1 and G2 cancers with a good prognosis, and in clear cell carcinomas (CCA) with a generally poor prognosis; the highest expression was observed in the clear cell carcinomas, slightly lower in the case of nonatypical hyperplasia and the lowest in good-prognosis G1 and G2 cancers (Figure 2a). No expression of AMH was observed in the case of other types of cancers (Figure 2a).
The AMH protein was found in some stages in the clinical staging system of cancer according to FIGO (International Federation of Gynecology and Obstetrics) staging (Figure 2b). The AMH protein was absent in the tissues of II B, IIIA, and IIIB FIGO stages. There was no statistically significant differentiation between the mean expression of the AMH protein in the stages of cancer according to FIGO (Kruskal–Wallis ANOVA, H (9, N = 231) = 12.819, p = 0.171). Diabetes type 2 diagnosed before cancer did not affect the expression of AMH in EC tissues (Mann–Whitney U test, AMH: Z = 0.019, p = 0.985, Figure 2c). The presence of AMH protein was detected only in the group of patients who did not use hormonal replacement therapy (HRT; Figure 2d). Differences in AMH expression between both groups of women were statistically significant (Wald–Wolfowitz runs test, Z = 2.240, p = 0.025). AMH protein expression was observed in perimenopausal (o) and postmenopausal (m) women at similar levels (Figure 3a). Expression was absent in women who had premenopausal cancer (p) (Figure 3a). There were no statistical differences in AMH expression levels between the three groups of women (Kruskal–Wallis ANOVA: H (2, N = 231) = 3.117, p = 0.210). Time from the first to the last menstrual bleeding of 40 or more years had an impact on the expression of AMH in EC tissues (Figure 3b), but the results were not statistically significant at the assumed level of I type error α = 0.05 (Mann–Whitney U test: Z = 1.854, p = 0.064). There were noticeable differences in the level of AMH protein expression depending on the presence or absence of arterial hypertension. Patients with arterial hypertension had a slightly higher expression of AMH (Figure 3c). The results were statistically insignificant at the assumed level of error α = 0.05 (Mann–Whitney U test: Z = 1.880, p = 0.06). There were no significant relationships between the AMH expression and the number of childbirths (deliveries) (rs = 0.021, n = 232, p = 0.077, Figure 3d), the average birth weight of children (rs = −0.054, n = 207, p = 0.440, Figure 4 a), and the age of the examined patients (rs = −0.116, n = 232, p = 0.077, Figure 4b). Significant but very weak positive relationships were found between AMH expression and mean breastfeeding time (rs = −0.163, n = 229, p = 0.014, Figure 4c) and total breastfeeding time (rs = −0.134, n = 229, p = 0.042, Figure 4d).
It was found that the probability of AMH protein expression was significant depending on the average breastfeeding time (p = 0.004), the type of cancer (p = 0.006) and menstrual years (p = 0.045, Table 2). No significant interactions between the variables studied were found. The probability of AMH protein expression elevates with the increase in the average breastfeeding time, type of cancer (significantly increases the expression of type G2, G1 and CCA tumors) and depending on the years of menstruation (women with menstruation below 40 years had less expression of AMH, Table 3).

3. Discussion

The normal levels of serum AMH in women between puberty and menopause amount to 1.4–5 ng/mL [15,59], and then it decreases to undetectable values [60]. The highest reported serum AMH concentration of 3205.93 ng/mL was found in a patient with sex cord tumor in whom remote metastases were present [50]. Sex cord tumors are rare and may also be analyzed in the context of Peutz–Jeghers syndrome [61]. Determination of serum AMH is used in diagnosing granulosa cell tumors [52]. A positive correlation was found between the AMH level and gross aggregate tumor mass determined by pathology, as well as between the AMH level and radiographic aggregate tumor mass [52]. In patients with this type of cancer, the serum AMH level reached 1200 ng/mL [52]. Serial measurement of serum AMH in granulosa cell tumor patients is performed in order to assess the efficacy of surgical treatment and to monitor possible relapses of the disease [62]. Elevated levels of AMH are observed also in patients with polycystic ovary syndrome (PCOS), where they are elevated up to 2–12 times [63,64]. This is connected to a higher number of small follicles in a group of these women [65]. Determination of serum AMH levels, apart from being a reliable assessment of the ovarian reserve, helps to individualize the dosing of follitropin alfa (rFSH) in artificial reproductive techniques (ART), which helps to reduce side effects of ovarian hyperstimulation [28,29,66].
AMH expression was found in mitosing cells of the endometrium of reproductive-age women [53]. Its expression increases in presence of both sex steroid hormones—progesterone and estradiol [53]. AMH derived from endometrium has the potential to elicit apoptosis and decrease viability of endometrial cells [53]. Serum AMH present in referential concentrations until menopause may exert protective action on female organisms and inhibit the development of EC. This was confirmed by the average age of disease onset at 62.5 years in the group of women analyzed in this study. The most important number of cases of this type of cancer was observed in postmenopausal women (80.49%), when AMH levels dropped to undetectable values. In our series, AMH protein was rarely found in the analyzed EC samples. Although the age alone did not have a significant impact on AMH expression in EC cells, our study confirmed that AMH protein was absent in women who developed EC at the premenopausal age (0/24). Another author did not find a correlation between serum AMH levels and diagnosing EC at the premenopausal age [47]. Possibly, AMH derived from both tissues—ovary and endometrium—may negatively influence EC development while working together. In analysis of EC etiology one should also consider other factors including obesity, hypertension and diabetes, as their correlation with EC has already been proven [67,68,69]. Although hypertension was related to elevated AMH expression in EC cells (statistically not significant), neither type 2-diabetes, nor BMI correlated with AMH expression. Due to increased levels of AMH in PCOS [63,64,70], a correlation between EC and PCOS is questionable [70]. This doubt is supported by epidemiological data—annually, some 4000 new cases of EC are diagnosed in the UK, while the number of PCOS patients in this country is estimated to be 500,000 to 1 million [70].
The widely known negative relationship between parity and EC indicates that multiparity is a factor protecting women against EC. In our study the presence of the AMH protein in EC cells did not correlate with the number of child births and birth weight of newborns. The AMH protein was detected only in the group of patients who did not use HRT. However, as the patients’ history revealed, only 15 patients used HRT for more than 6 months. Yet, a correlation was observed between elevated AMH expression and the length of life hormonal activity, that is the time from the first to the last menstrual period. This phenomenon was not observed when the time of estrogen activity was shorter than 40 years. Among women who menstruated 40 years and more, 82.92% were patients with diagnosed G1 and G2 endometrioid carcinomas. In conjunction with AMH expression, this coincides with a good prognosis in the hormone-dependent type of cancer. Similarly, a longer average period of breastfeeding in conjunction with G1, G2 or CCA histopathological type is a factor increasing AMH expression. We found no differences between the stages of cancer according to FIGO and AMH expression. Although the protein was not detected in IIB, IIIA and IIIB stages, it was present in IIIC and IV stages. This observation seems to correlate with the determined elevated levels AMH concentration in cases of cancer which spread outside the uterus, in contrast to low levels of AMH in patients with cancer limited only to the uterus [71].
In analysis of the histopathological type of cancer, the probability of detecting AMH in cells increased in cases of nonatypical hyperplasia, as well as G1 and G2 endometrioid type of EC and, surprisingly in CCA. Patients with the CCA and positive AMH expression demonstrated IA-IB clinical stage of disease. None of them were obese (BMI 17.1–25.9) and their average age was 71.6 years. This justifies undertaking further research on AMH expression and a 5-year survival period in patients with clear cell carcinomas. The presence of AMH in type II cancers according to Bokhman’s taxonomy might be the reason behind their biological diversity and a better than average survival rate in this type of cancer.
AMH is a natural substance which induces cell cycle arrest and apoptosis, with its activity limited to a few tissues. Thus, it was conceived that AMH represents a non-toxic substance which may be potentially useful in treating cancers exhibiting AMH receptors [8,16,72,73,74].
The efficacy of controlling the development of mouse ovarian carcinoma (MOVCAR) cells was confirmed with recombinant human AMH, with no symptoms of toxicity during a 11-week treatment, equivalent to a continuous 7-year treatment in humans [75].
The neoplastic process in the endometrium engages some 1000 genes—362 up-regulated and 638 down-regulated ones [76]. It was shown that applying AMH in EC tissue changes the activity of 2688 genes engaged in regulating the cell cycle and apoptosis [77]. Expression grows in, among others, apoptotic protease activating factor-1 (APAF-1), β-catenin-interacting protein (ICAT), Rb related protein 130 (p130), while it decreases in, among others, cyclin-dependent kinase 2 (CDK2) and phospho-c-Jun [77]. Understanding the mechanisms leading to proapoptotic and cell cycle arrest functions of AMH is of key importance in order to use this substance as a therapeutic protein agent.
AMH uses various signaling pathways and inhibits cell divisions or programmed cell death in particular tissues in distinct ways. In the tissue of endometrial cysts of the ovary, AMH increases the concentration of p53-dependent p21 protein (cyclin-dependent kinase inhibitor—CDK inhibitor), as well as p107 and p130 proteins from Retinoblastoma family, while it decreases the level of transcription factor E2F1 [78]. AMH exhibits a similar activity in EC [43]. In the ovarian carcinoma, it increases the level of CDKs inhibitors: p16 and p21 [79]. Due to the activity of AMH, the levels of p16, p107 and p130 increase in cervical carcinoma cells [80].
The new classification of EC according to The Cancer Genome Atlas Research Network (TCGA) distinguishes four EC groups [81,82]. Group 4, labelled “copy-number high (serous-like),” encompasses cancers with the most serious prognosis [81,82]. Analyzing mutations from which the neoplastic process derives, it may be concluded that about 92% of cancers in this group present mutations of the p53 gene [81,82]. Theoretically, AMH—as an adjuvant—could increase the efficacy of treatment in the worst types of EC mediating the increased levels of p21.
In breast cancer and prostate cancer, AMH activates the pathway of NFκB (nuclear factor kappa-light-chain-enhancer of activated B cells), which induces the IEX gene (immediate early gene), encoding the protein regulator of the cell cycle [83,84,85]. It was demonstrated that in the T47D estrogen-positive line of breast cancer cells AMH causes selective expression of mRNA IEX-1S splice variant, and IEX-1L variant, which is responsible for the survival of colonies of cells, was absent [45,86]. AMH causes a similar response in the estrogen-negative line of breast cancer (MDA-MB-231) [38]. Transcripts of both IEX variants were determined, but only IEX-1S reached biologically significant levels, which resulted in 50% cell cycle arrest [45].
AMH sensitizes malignant ovarian cells to chemotherapy, increasing its efficacy [46,87,88]. Current precise onco-therapy encompasses blocking receptor tyrosine kinases (RTKs) [89,90]. The development of resistance in EC cells to modern medication relies on downregulation of PHLDA1 (pleckstrin homology-like domain family A member 1), a protein regulating apoptosis [91,92]. PHLDA1 expression is responsible for basal apoptosis, impedes the growth of neoplastic cells and sensitizes the neoplastic tissue to chemotherapeutics [93,94]. Activation of the NFκB pathway leads to upregulation of PHLDA1 [91]. It is not known whether the activation of this pathway by AMH has any effect on the level of PHLDA1. If it does, AMH could support the activity of RTKs antibodies and counteract the development of resistance towards them.
It was found that single nucleotides polymorphism (SNP) can be responsible for the development of cancers, including EC [95,96,97,98,99]. Overexpression of the murine double minute 2 gene (MDM2) leads to inhibiting the activity of p53 protein, which, in consequence, causes an increased risk of cancer [100,101,102]. Nucleotide 309 polymorphism (SNP309) in the first intron of the MDM2 gene (rs2279744) is a risk factor for EC among Caucasian and Asian women, as a result of an increased level of MDM2 [103,104]. Worth considering is whether applying AMH in the adjuvant EC therapy in cases of SNPT309G, in the presence of AMHERII, may increase the efficacy of treatment in this type of cancer.
Belonging to the TGFβ superfamily, AMH acts through signaling pathways related to the SMAD protein and engages slightly different mechanisms and transmitter proteins than the constitutive proteins of TGFβ [105,106,107,108]. These proteins activate a non-canonical signaling pathway which leads to activating proapoptotic p38/mitogen-activated protein kinase (p38/MAPK) [109,110]. The TGFβ superfamily does not show, however, an antiproliferative effect in the case of constitutive overexpression or transient overexpression of MDM2 [111,112]. It is not known whether AMH, using other pathways than the classic TGFβ proteins [87,113], is also lacking this function.
It is believed that epigenetic modulations have a growing role in the neoplastic process. There are two opposed systems which maintain or suppress the activity of genes through remodeling of chromatin: Polycomb (PcG) and Trithorax (TrxG) [114,115,116]. An important component of Polycomb which is responsible for the development of EC is an enhancer of zeste homolog 2 (EZH2), which impedes the activity of suppressor genes [117,118]. Knockdown of the EZH2 gene leads to apoptosis of EC cells because of an increase in the level of caspase-3 and caspase-9 [117]. AMH also increases the level of caspase-3 [87]. In such cases AMH could also find a therapeutic application.
Among natural substances, not only AMH has a beneficial effect on the reduction of EC cells. Hesperidin (a flavonoid from Citrus species) induces apoptosis through p38/mitogen-activated protein kinase [119]. Eupatilin (from Artemisia princemps) increases the level of the p21 protein and inhibits the growth of EC cells in the G2/M stage [120].
Summarizing, as the knowledge on carcinogenesis and its molecular basis increases, novel or modified therapeutic solutions appear in modern oncology. A member of the TGFβ family, AMH represents a substance which should be focused on in 21st century medicine because of its unique properties and safety profile.

4. Materials and Methods

4.1. Ethics Statement and Research Material

The experimental material was collected at the Clinical Ward of Gynecology, Obstetrics and Oncological Gynecology at the Regional Specialist Hospital in Olsztyn, Poland. The study protocol was approved by the Bioethics Committee of the Warmia-Mazury Medical Chamber (OIL.164/15/Bioet; 2 April 2015) in Olsztyn, Poland. Case history reviews were collected for all patients in order to record demographic details and their whole medical history. The classification of patients according to confirmed postoperative histopathological type is presented in Table 4.
For each patient medical data such as, the type of cancer, cancer stages according to FIGO staging, hormonal status of women, menstrual activity, presence of type 2 diabetes, hypertension, use of HRT, number of births, time of breastfeeding, age of women and body mass index (BMI), were collected. According to the World Health Organization (https://www.who.int/topics/obesity/en/) the BMI values correspond to underweight (BMI < 18.5 kg/m2), normal weight (BMI = 18.5–25), overweight (BMI = 25–30), and obese (BMI > 30) [121]. According to the British guidelines (National Collaborating Centre for Women’s and Children’s Health, 2015) the perimenopausal period is the time of irregular menstruations and vasomotor symptoms [122]. The menopausal period means that a woman has not had menstruation for at least 12 months and she does not use hormonal contraception [122].
The biopsy specimens were obtained from 232 patients during surgical interventions consisting of hysterectomy with bilateral salpingo-oophorectomy, lymphadenectomy (except pre-cancerous states of endometrium (PCS) cases) and peritoneal washing. The surgical biopsies from the affected area were preserved in 4% buffered formalin/formaldehyde immediately after surgical removal in the form of a phosphate-buffered solution (Chempur, Piekary Śląskie, Poland). The volume of fixative to tissue ratio was at least 10:1. The specimens were fixed by immersion for 6 to 12 h before further processing. The preserved tissues were placed in cassettes and the batches of specimens were loaded onto a tissue processor (Leica ASP 300S, Leica Biosystems, Nussloch, Germany) before being molten in wax. Embedding was performed 10 h later on the platform (Leica EG1160). Paraffin blocks were cut Leica SM 2000R microtome into 6 μm-thick sections. Following in time flattening and straightening on the surface of warm water (37 °C) they were picked up onto microscope slides. After thorough drying (overnight/37 °C) specimens were stained in the hematoxylin and eosin (H&E) automated stainer (Leica ST5020) for visualization of particular structures. After staining, the sections were covered with a glass coverslip and evaluated by a qualified pathologist. The Formalin-Fixed Paraffin-Embedded (FFPE) specimens were processed according to the College of American Pathologists (CAP) criteria described in The Practical Guide to Specimen Handling in Surgical Pathology [123].

4.2. Tissue Microarrays (TMAs)

The prepared slides were scanned using the Panoramic MIDI II (3DHistech, Budapest, Hungary) histological scanner. Panoramic Viewer (3DHistech) software was used to select manually three representative areas (each with a surface of 1.5 mm2) from regions of EC previously indicated by the pathologist. Three representative cores of 1.5 diameter mm were taken from each archival tumor sample of an EC and embedded in paraffin as described above to create tissue microarrays (TMAs) using TMA Grand Master (3DHistech, Budapest, Hungary) in line with the manufacturer’s instructions.

4.3. Immunohistochemistry (IHC)

Slides from TMAs (4 μm-thick) were used for immunohistochemistry (IHC) reactions, which were performed using DakoAutostainer Link48 (Dako, Glostrup, Denmark). In order to deparaffinize, rehydrate and unmask the antigens the sections were boiled in EnVision FLEX Target Retrieval Solution (pH 9, 20 min, 97 °C; Dako) using the PTLink platform (Dako, Glostrup, Denmark). Afterwards, slides were incubated for 5 min with Envision Flex Peroxidase-Blocking Reagent (Dako, Glostrup, Denmark) to block endogenous peroxidase. As primary antibodies (20 min, RT), rabbit polyclonal antibodies against AMH (1:100, ab84952, Abcam, Cambridge, UK) were used. Next, slides were incubated with EnVision FLEX/HRP (20 min, RT), and the reaction was visualized (10 min, RT) with freshly prepared 3,3′-diaminobenzidine (DAB). Additionally, slides were counterstained for 5 min with EnVision FLEX Hematoxylin (Dako, Glostrup, Denmark). Finally, slides were dehydrated in ethanol (70%, 96%, absolute) and xylene, then mounted with Dako Mounting Medium (Dako, Glostrup, Denmark). Slides were evaluated using the Olympus BX41 light microscope (Olympus, Japan). Control tissues included the human prostate.

4.4. Evaluation of IHC Reactions

All immunohistochemical reactions were evaluated by two pathologists using a BX-41 light microscope. For evaluation an immunoreactive score of Remmele and Stegner was applied [124] (Table 5).

4.5. Statistical Analysis

The expression of AMH was measured with the rank scale IRS immunoreactive score (IRS) of Remmele and Stegner (Table 5) in three samples retrieved from three sites of cancer tissue from each patient. There were no differences in the overall AMH expression in the three collected tissue samples (F-test with Greenhouse-Geisser correction, ἐ = 0.714, p = 0.501). The mean value of AMH expression for each patient was computed, and the mean values were used in the whole analysis. Differences in AMH expression between the type of cancer, cancer stages according to FIGO, hormonal status of women were tested with the Kruskal–Wallis test. Results of comparisons between individual groups were based on the post hoc nonparametric multiple comparison tests. The comparison of AMH expression in two groups of patients, e.g., years of menstrual activity (<40 years old, 40 or more years old), presence of type 2 diabetes, presence of hypertension, the use of hormonal replacement therapy (HRT), was performed with the Mann–Whitney U test or the Wald–Wolfowitz runs test. The relationship between AMH expression and values of metric traits (number of births, time of breastfeeding, BMI, age of women) was tested using Spearman’s rank correlation coefficient. The multidimensional comparison of AMH expression (binary data: expression positive—1, and negative —0) and an independent category and continuous variables used in the study were tested in Generalized Linear Model (GLZ) with logit linking function and searching for the best fitted models with the Akaike criterion. The parameters were estimated using the highest likelihood method. In the case of variable redundancy, the parameter was not estimated. The p-value < 0.05 was defined as statistically significant. Statistical analysis was performed using Statistica 13.0 software (TIBCO Software Inc. 2017. Statistica (data analysis software system), version 13. http://statistica.io, Krakow, Poland)).

Author Contributions

M.G. conceived the study design, performed experimental work, and drafted the manuscript; A.L. assisted in the study design, performed experimental work and drafted the manuscript; A.P. prepared TMAs specimens and IHC; M.S.-N. assessed and prepared preserved tissue for further evaluation; J.J.N. performed statistical analysis; P.D., M.K.M. and M.J. helped in writing the final version of the manuscript. M.M. coordinated all experimental work, assisted in the study design and helped in writing the final version of the manuscript. All authors have seen and approved the final version.

Funding

This study was supported by the School of Medicine, Collegium Medicum (61.610.001-300), University of Warmia and Mazury in Olsztyn.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

MDPIMultidisciplinary Digital Publishing Institute
DOAJDirectory of open access journals
TLAThree letter acronym
LDlinear dichroism

References

  1. Jost, A. The age factor in the castration of male rabbit fetuses. Exp. Biol. Med. 1947, 66, 302. [Google Scholar] [CrossRef]
  2. Cate, R.L.; Mattaliano, R.J.; Hession, C.; Tizard, R.; Farber, N.M.; Cheung, A.; Ninfa, E.G.; Frey, A.Z.; Gash, D.J.; Chow, E.P.; et al. Isolation of the bovine and human genes for müllerian inhibiting substance and expression of the human gene in animal cells. Cell 1986, 45, 685–698. [Google Scholar] [CrossRef]
  3. Cohen-Haguenauer, O.; Picard, J.Y.; Mattei, M.G.; Serero, S.; Nguyen, V.C.; de Tand, M.F.; Guerrier, D.; Hors-Cayla, M.C.; Josso, N.; Frézal, J. Mapping of the gene for anti-Müllerian hormone to the short arm of human chromosome 19. Cytogenet. Cell Genet. 1987, 44, 2–6. [Google Scholar] [CrossRef]
  4. Sobel, V.; Zhu, Y.S.; Imperato-McGinley, J. Fetal hormones and sexual differentiation. Obstetr. Gynecol. Clin. N. Am. 2004, 31, 837–856. [Google Scholar] [CrossRef] [PubMed]
  5. La Marca, A.; Broekmans, F.J.; Volpe, A.; Fauser, B.C.; Macklon, N.S. Anti-Mullerian hormone (AMH): What do we still need to know? Hum. Reprod. 2009, 24, 2264–2275. [Google Scholar] [CrossRef] [PubMed]
  6. Di Clemente, N.; Wilson, C.; Faure, E.; Boussin, L.; Carmillo, P.; Tizard, R.; Picard, J.Y.; Vigier, B.; Josso, N.; Cate, R. Cloning, expression, and alternative splicing of the receptor for anti-Müllerian hormone. Mol. Endocrinol. 1994, 8, 1006–1020. [Google Scholar]
  7. Massagué, J.; Gomis, R.R. The logic of TGFβ signaling. FEBS Lett. 2006, 580, 2811–2820. [Google Scholar] [CrossRef]
  8. Kim, J.H.; MacLaughlin, D.T.; Donahoe, P.K. Mullerian inhibiting substance/anti-Mullerian hormone: A novel treatment for gynecologic tumors. Obstetr. Gynecol. Sci. 2014, 57, 343–357. [Google Scholar] [CrossRef]
  9. Lee, M.M.; Donahoe, P.K.; Silverman, B.L.; Hasegawa, T.; Hasegawa, Y.; Gustafson, M.L.; Chang, Y.C.; MacLaughlin, D.T. Measurements of serum mullerian inhibiting substance in the evaluation of children with nonpalpable gonads. N. Engl. J. Med. 1997, 336, 1480–1486. [Google Scholar] [CrossRef]
  10. Rajpert-De Meyts, E.; Jørgensen, N.; Graem, N.; Müller, J.; Cate, R.L.; Skakkebaek, N.E. Expression of anti-Müllerian hormone during normal and pathological gonadal development: Association with differentiation of Sertoli and granulosa cells. J. Clin. Endocrinol. Metab. 1999, 84, 3836–3844. [Google Scholar] [CrossRef]
  11. Josso, N.; Lamarre, I.; Picard, J.Y.; Berta, P.; Davies, N.; Morichon, N.; Peschanski, M.; Jeny, R. Anti-müllerian hormone in early human development. Early Hum. Dev. 1993, 33, 91–99. [Google Scholar] [CrossRef]
  12. Zhan, Y.; Fujino, A.; MacLaughlin, D.T.; Manganaro, T.F.; Szotek, P.P.; Arango, N.A.; Teixeira, J.; Donahoe, P.K. Mullerian Inhibiting Substance regulates its receptor/SMAD signaling and causes mesenchymal transition of the coelomic epithelial cells early in Mullerian duct regression. Development 2006, 133, 2359–2369. [Google Scholar] [CrossRef]
  13. Fujino, A.; Arango, N.A.; Zhan, Y.; Manganaro, T.F.; Li, X.; MacLaughlin, D.T.; Donahoe, P.K. Cell migration and activated PI3K/AKT-directed elongation in the developing rat Müllerian duct. Dev. Biol. 2009, 325, 351–362. [Google Scholar] [CrossRef] [PubMed]
  14. Wilson, J.D.; George, F.W.; Griffin, J.E. The hormonal control of sexual development. Science 1981, 211, 1278–1284. [Google Scholar] [CrossRef] [PubMed]
  15. Teixeira, J.; Maheswaran, S.; Donahoe, P.K. Mullerian Inhibiting Substance: An instructive developmental hormone with diagnostic and possible therapeutic applications. Endocr. Rev. 2001, 22, 657–674. [Google Scholar]
  16. MacLaughlin, D.T.; Donahoe, P.K. Müllerian inhibiting substance/anti-Müllerian hormone: A potential therapeutic agent for human ovarian and other cancers. Future Oncol. 2010, 6, 391–405. [Google Scholar] [CrossRef] [PubMed]
  17. Zec, I.; Tislaric-Medenjak, D.; Bukovec Megla, Z.; Kucak, I. Anti-Mullerian hormone: A unique biochemical marker of gonadal development and fertility in humans. Biochem. Med. 2011, 21, 219–230. [Google Scholar] [CrossRef]
  18. Kelsey, T.W.; Wright, P.; Nelson, S.M.; Anderson, R.A.; Wallace, W.H.B. A validated model of serum anti-Müllerian hormone from conception to menopause. PLoS ONE 2011, 6, e22024. [Google Scholar] [CrossRef]
  19. Shahrokhi, S.Z.; Kazerouni, F.; Ghaffari, F. Anti-Müllerian Hormone: Genetic and environmental effects. Clin. Chim. Acta 2018, 476, 123–129. [Google Scholar] [CrossRef]
  20. De Vet, A.; Laven, J.; de Jong, F.; Themmen, A. Anti-Mullerian hormone serum levels: A putative marker for ovarían aging. Fertil. Steril. 2002, 77, 357–362. [Google Scholar] [CrossRef]
  21. La Marca, A.; De Leo, V.; Giulini, S.; Orvieto, R.; Malmusi, S.; Giannella, L.; Volpe, A. Anti-Mullerian hormone in premenopausal women and after AMH and ART 127 spontaneous or surgically induced menopause. J. Soc. Gynecol. Investig. 2005, 12, 545–548. [Google Scholar] [CrossRef] [PubMed]
  22. Ebner, T.; Sommergruber, M.; Moser, M.; Shebl, O.; Schreier-Lechner, E.; Tews, G. Basal level of anti-Mullerian hormone is associated with oocyte quality in stimulated cycles. Hum. Reprod. 2006, 21, 2022–2026. [Google Scholar] [CrossRef] [PubMed]
  23. Visser, J.A.; de Jong, F.H.; Laven, J.S.E.; Themmen, A.P.N. Anti-Müllerian hormone: A new marker for ovarian function. Reproduction 2006, 131, 1–9. [Google Scholar] [CrossRef] [PubMed]
  24. Broer, S.L.; Broekmans, F.J.; Laven, J.S.; Fauser, B.C. Anti-Müllerian hormone: Ovarian reserve testing and its potential clinical implications. Hum. Reprod. Update 2014, 20, 688–701. [Google Scholar] [CrossRef] [PubMed]
  25. Islam, Y.; Aboulghar, M.M.; El-Din AlEbrashy, A.; Abdel-Aziz, O. The value of different ovarian reserve tests in the prediction of ovarian response in patients with unexplained infertility. Middle East Fertil. Soc. J. 2016, 21, 69–74. [Google Scholar] [CrossRef]
  26. Podfigurna, A.; Lukaszuk, K.; Czyzyk, A.; Kunicki, M.; Maciejewska-Jeske, M.; Jakiel, G.; Meczekalski, B. Testing ovarian reserve in pre-menopausal women: Why, whom and how? Maturitas 2018, 109, 112–117. [Google Scholar] [CrossRef] [PubMed]
  27. Abdelazimad, I.A.; Belal, M.M.; Makhlouf, H. Anti-Mullerian hormone and antral follicle count as predictors of ovarian reserve and successful IVF. Int. J. Fertil. Steril. 2017, 11, 40–46. [Google Scholar]
  28. Anderson, R.A.; Anckaert, E.; Bosch, E.; Dewailly, D.; Dunlop, C.E.; Fehr, D.; Nardo, L.; Smitz, J.; Tremellen, K.; Denk, B.; et al. Prospective study into the value of the automated Elecsys antimüllerian hormone assay for the assessment of the ovarian growing follicle pool. Fertil. Steril. 2015, 103, 1074–1080.e4. [Google Scholar] [CrossRef]
  29. Nyboe Andersen, A.; Nelson, S.M.; Fauser, B.C.; García-Velasco, J.A.; Klein, B.M.; Arce, J.C. ESTHER-1 study group. Individualized versus conventional ovarian stimulation for in vitro fertilization: A multicenter, randomized, controlled, assessor-blinded, phase 3 noninferiority trial. Fertil. Steril. 2017, 107, 387–396.e4. [Google Scholar] [CrossRef]
  30. Pilsgaard, F.; Grynnerup, A.G.; Løssl, K.; Bungum, L.; Pinborg, A. The use of anti-Müllerian hormone for controlled ovarian stimulation in assisted reproductive technology, fertility assessment and -counseling. Acta Obstet. Gynecol. Scand. 2018, 97, 1105–1113. [Google Scholar] [CrossRef]
  31. Hudson, P.L.; Dougas, I.; Donahoe, P.K.; Cate, R.L.; Epstein, J.; Pepinsky, R.B.; MacLaughlin, D.T. An immunoassay to detect human mullerian inhibiting substance in males and females during normal development. J. Clin. Endocrinol. Metab. 1990, 70, 16–22. [Google Scholar] [CrossRef] [PubMed]
  32. Munsterberg, A.; Lovell-Badge, R. Expression of the mouse anti-mullerian hormone gene suggests a role in both male and female sexual differentiation. Development 1991, 113, 613–624. [Google Scholar] [PubMed]
  33. Kim, J.H.; Seibel, M.M.; MacLaughlin, D.T.; Donahoe, P.K.; Ransil, B.J.; Hametz, P.A. The inhibitory effects of mullerian-inhibiting substance on epidermal growth factor induced proliferation and progesterone production of human granulosa-luteal cells. J. Clin. Endocrinol. Metab. 1992, 75, 911–917. [Google Scholar] [PubMed]
  34. Durlinger, A.L.; Gruijters, M.J.; Kramer, P.; Karels, B.; Ingraham, H.A.; Nachtigal, M.W. Anti-Müllerian hormone inhibits initiation of primordial follicle growth in the mouse ovary. Endocrinology 2002, 143, 1076–1084. [Google Scholar] [CrossRef]
  35. Nilsson, E.; Rogers, N.; Skinner, M.K. Actions of anti-Müllerian hormone on the ovarian transcriptome to inhibit primordial to primary follicle transition. Reproduction 2007, 134, 209–221. [Google Scholar] [CrossRef] [PubMed]
  36. Nilsson, E.; Schindler, R.; Savenkova, M.I.; Skinner, M.K. Inhibitory actions of anti-Müllerian hormone (AMH) on ovarian primordial follicle assembly. PLoS ONE 2011, 6, e20087. [Google Scholar] [CrossRef] [PubMed]
  37. Baarends, W.M.; Hoogerbrugge, J.W.; Post, M.; Visser, J.A.; De Rooij, D.G.; Parvinen, M. Anti-mullerian hormone and anti-mullerian hormone type II receptor messenger ribonucleic acid expression during postnatal testis development and in the adult testis of the rat. Endocrinology 1995, 136, 5614–5622. [Google Scholar] [CrossRef]
  38. Laurich, V.M.; Trbovich, A.M.; O’Neill, F.H.; Houk, C.P.; Sluss, P.M.; Payne, A.H. Müllerian inhibiting substance blocks the protein kinase A-induced expression of cytochrome p 450 17alpha-hydroxylase/C(17-20) lyase mRNA in a mouse Leydig cell line independent of cAMP responsive element binding protein phosphorylation. Endocrinology 2002, 143, 3351–3360. [Google Scholar] [CrossRef] [PubMed]
  39. Rey, R.; Sabourin, J.C.; Venara, M.; Long, W.Q.; Jaubert, F.; Zeller, W.P. Anti-Müllerian hormone is a specific marker of sertoli- and granulosa-cell origin in gonadal tumors. Hum. Pathol. 2000, 31, 1202–1208. [Google Scholar] [CrossRef]
  40. Edelsztein, N.Y.; Grinspon, R.P.; Schteingart, H.F.; Rey, R.A. Anti-Müllerian hormone as a marker of steroid and gonadotropin action in the testis of children and adolescents with disorders of the gonadal axis. Int. J. Pediatr. Endocrinol. 2016, 2016, 20. [Google Scholar] [CrossRef] [PubMed]
  41. Seifer, D.B.; Tal, R. Antimullerian Hormone: Biology, Role in Ovarian Function and Clinical Significance, 1st ed.; Nova Science Publishers: New York, NY, USA, 2016. [Google Scholar]
  42. Kushnir, V.A.; Seifer, D.B.; Barad, D.H.; Sen, A.; Gleicher, N. Potential therapeutic applications of human anti-Müllerian hormone (AMH) analogues in reproductive medicine. J. Assist. Reprod. Genet. 2017, 34, 1105–1113. [Google Scholar] [CrossRef] [PubMed]
  43. Renaud, E.J.; MacLaughlin, D.T.; Oliva, E.; Rueda, B.R.; Donahoe, P.K. Endometrial cancer is a receptor-mediated target for Mullerian Inhibiting Substance. Proc. Natl. Acad. Sci. USA 2005, 102, 111–116. [Google Scholar] [CrossRef]
  44. Masiakos, P.T.; MacLaughlin, D.T.; Maheswaran, S.; Teixeira, J.; Fuller, A.F., Jr.; Shah, P.C. Human ovarian cancer, cell lines, and primary ascites cells express the human Mullerian Inhibiting Substance (MIS) type II receptor, bind, and are responsive to MIS. Clin. Cancer Res. 1999, 7, 3488–3499. [Google Scholar]
  45. Segev, D.L.; Ha, T.U.; Tran, T.T.; Kennealy, M.; Harkin, P.; Jung, M. Mullerian Inhibiting Substance inhibits breast cancer cell growth through an NFkappa B-mediated pathway. J. Biol. Chem. 2000, 275, 28371–28379. [Google Scholar] [CrossRef]
  46. Pieretti-Vanmarcke, R.; Donahoe, P.K.; Pearsall, L.A.; Dinulescu, D.M.; Connelly, D.C.; Halpern, E.F. Mullerian Inhibiting Substance enhances subclinical doses of chemotherapeutic agents to inhibit human and mouse ovarian cancer. Proc. Natl. Acad. Sci. USA 2006, 103, 17426–17431. [Google Scholar] [CrossRef] [PubMed]
  47. Fortner, R.T.; Schock, H.; Jung, S.; Allen, N.E.; Arslan, A.A.; Brinton, L.A.; Egleston, B.L.; Falk, R.T.; Gunter, M.J.; Helzlsouer, K.J.; et al. Anti-Mullerian hormone and endometrial cancer: A multi-cohort study. Br. J. Cancer. 2017, 117, 1412–1418. [Google Scholar] [CrossRef] [PubMed]
  48. Matias-Guiu, X.; Pons, C.; Prat, J. Müllerian inhibiting substance, alpha-inhibin, and CD99 expression in sex cord-stromal tumors and endometrioid ovarian carcinomas resembling sex cordstromal tumors. Hum. Pathol. 1998, 29, 840–845. [Google Scholar] [CrossRef]
  49. Geerts, I.; Vergote, I.; Neven, P.; Billen, J. The role of inhibins B and antimüllerian hormone for diagnosis and follow-up of granulosa cell tumors. Int. J. Gynecol. Cancer 2009, 19, 847–855. [Google Scholar] [CrossRef] [PubMed]
  50. Gustafson, M.L.; Lee, M.M.; Scully, R.E.; Moncure, A.C.; Hirakawa, T.; Goodman, A.; Muntz, H.G.; Donahoe, P.K.; MacLaughlin, D.T.; Fuller, A.F., Jr. Mullerian inhibiting substance as a marker for ovarian sex-cord tumor. N. Engl. J. Med. 1992, 326, 466–471. [Google Scholar] [CrossRef] [PubMed]
  51. Gustafson, M.L.; Lee, M.M.; Asmundson, L.; MacLaughlin, D.T.; Donahoe, P.K. Mullerian inhibiting substance in the diagnosis and management of intersex and gonadal abnormalities. J. Pediatr. Surg. 1993, 28, 439–444. [Google Scholar] [CrossRef]
  52. Chang, H.L.; Pahlavan, N.; Halpern, E.F.; MacLaughlin, D.T. Serum Mullerian Inhibiting substance/anti-Mullerian hormone levels in patients with adult granulosa cell tumors directly correlate with aggregate tumor mass as determined by pathology or radiology. Gynecol. Oncol. 2009, 114, 57–60. [Google Scholar] [CrossRef]
  53. Wang, J.; Dicken, C.; Lustbader, J.W.; Tortoriello, D.V. Evidence for a Mullerian-inhibiting substance autocrine/paracrine system in adult human endometrium. Fertil. Steril. 2009, 91, 1195–1203. [Google Scholar] [CrossRef]
  54. Wang, P.Y.; Koishi, K.; McGeachie, A.B.; Kimber, M.; Maclaughlin, D.T.; Donahoe, P.K.; McLennan, I.S. Mullerian inhibiting substance acts as a motor neuron survival factor in vitro. Proc. Natl. Acad. Sci. USA 2005, 102, 16421–16425. [Google Scholar] [CrossRef]
  55. Siegel, R.L.; Miller, K.D.; Jemal, A. Cancer statistics 2017. CA Cancer J. Clin. 2017, 67, 7–30. [Google Scholar] [CrossRef] [PubMed]
  56. Martinez-Garcia, E.; Lopez-Gil, C.; Campoy, I.; Vallve, J.; Coll, E.; Cabrera, S.; Ramon, Y.; Cajal, S.; Matias-Guiu, X.; Van Oostrum, J.; et al. Advances in endometrial cancer protein biomarkers for use in the clinic. Expert Rev. Proteomics 2018, 15, 81–99. [Google Scholar] [CrossRef] [PubMed]
  57. Hecht, J.L.; Mutter, G.L. Molecular and pathologic aspects of endometrial carcinogenesis. J. Clin. Oncol. 2006, 24, 4783–4791. [Google Scholar] [CrossRef]
  58. Arnold, M.; Karim-Kos, H.E.; Coebergh, J.W.; Byrnes, G.; Antilla, A.; Ferlay, J.; Renehan, A.G.; Forman, D.; Soerjomataram, I. Recent trends in incidence of five common cancers in 26 European countries since 1988: Analysis of the European Cancer Observatory. Eur. J. Cancer. 2015, 51, 1164–1187. [Google Scholar] [CrossRef]
  59. Cook, C.L.; Siow, Y.; Taylor, S.; Fallat, M.E. Serum müllerian-inhibiting substance levels during normal menstrual cycles. Fertil. Steril. 2000, 73, 759–861. [Google Scholar] [CrossRef]
  60. La Marca, A.; Volpe, A. Anti-Müllerian hormone (AMH) in female reproduction: Is measurement of circulating AMH a useful tool? Clin. Endocrinol. (Oxf.) 2006, 64, 603–610. [Google Scholar] [CrossRef]
  61. Ravishankar, S.; Mangray, S.; Kurkchubasche, A.; Yakirevich, E.; Young, R.H. Unusual Sertoli Cell Tumor Associated With Sex Cord Tumor With Annular Tubules in Peutz-Jeghers Syndrome: Report of a Case and Review of the Literature on Ovarian Tumors in Peutz-Jeghers Syndrome. Int. J. Surg. Pathol. 2016, 24, 269–273. [Google Scholar] [CrossRef]
  62. Lane, A.H.; Lee, M.M.; Fuller, A.F.; Kehas, D.J.; Donahoe, P.K.; MacLaughlin, D.T. Diagnostic utility of Müllerian inhibiting substance determination in patients with primary and recurrent granulosa cell tumors. Gynecol. Oncol. 1999, 73, 51–55. [Google Scholar] [CrossRef]
  63. Wang, F.; Niu, W.B.; Kong, H.J.; Guo, Y.H.; Sun, Y.P. The role of AMH and its receptor SNP in the pathogenesis of PCOS. Mol. Cell Endocrinol. 2017, 439, 363–368. [Google Scholar] [CrossRef]
  64. Tal, R.; Seifer, D.B.; Khanimov, M.; Malter, H.E.; Grazi, R.V.; Leader, B. Characterization of women with elevated antimüllerian hormone levels (AMH): Correlation of AMH with polycystic ovarian syndrome phenotypes and assisted reproductive technology outcomes. Am. J. Obstet. Gynecol. 2014, 211. [Google Scholar] [CrossRef]
  65. Reyes-Muñoz, E.; Sathyapalan, T.; Rossetti, P.; Shah, M.; Long, M.; Buscema, M.; Valenti, G.; La Rosa, V.L.; Cianci, S.; Vitale, S.G. Polycystic Ovary Syndrome: Implication for Drug Metabolism on Assisted Reproductive Techniques-A Literature Review. Adv. Ther. 2018, 35, 1805–1815. [Google Scholar] [CrossRef] [PubMed]
  66. Di Paola, R.; Garzon, S.; Giuliani, S.; Laganà, A.S.; Noventa, M.; Parissone, F.; Zorzi, C.; Raffaelli, R.; Ghezzi, F.; Franchi, M.; Zaffagnini, S. Are we choosing the correct FSH starting dose during controlled ovarian stimulation for intrauterine insemination cycles? Potential application of a nomogram based on woman’s age and markers of ovarian reserve. Arch. Gynecol. Obstet. 2018, 298, 1029–1035. [Google Scholar] [CrossRef]
  67. Weiderpass, E.; Gridley, G.; Persson, I.; Nyrén, O.; Ekbom, A.; Adami, H.O. Risk of endometrial and breast cancer in patients with diabetes mellitus. Int. J. Cancer. 1997, 71, 360–363. [Google Scholar] [CrossRef]
  68. Shoff, S.M.; Newcomb, P.A. Diabetes, body size, and risk of endometrial cancer. Am. J. Epidemiol. 1998, 148, 234–240. [Google Scholar] [CrossRef] [PubMed]
  69. Kawachi, A.; Shimazu, T.; Budhathoki, S.; Sawada, N.; Yamaji, T.; Iwasaki, M.; Inoue, M.; Tsugane, S. JPHC Study Group. Association of BMI and height with the risk of endometrial cancer, overall and by histological subtype: A population-based prospective cohort study in Japan. Eur. J. Cancer Prev. 2018. [Google Scholar] [CrossRef]
  70. Hardiman, P.; Pillay, O.C.; Atiomo, W. Polycystic ovary syndrome and endometrial carcinoma. Lancet 2003, 361, 1810–1812. [Google Scholar] [CrossRef]
  71. Dogan, N.U.; Kerimoglu, O.S.; Karabagli, P.; Pekin, A.; Yilmaz, S.A.; Incesu, F.; Celik, C. Anti-Müllerian hormone is associated with extrauterine involvement and stage of disease in patients with endometrial cancer. J. Obstet. Gynaecol. 2015, 35, 178–182. [Google Scholar] [CrossRef] [PubMed]
  72. MacLaughlin, D.T.; Donahoe, P.K. Mullerian inhibiting substance: A potential nontoxic, naturally occurring therapeutic agent for certain human cancers. In Transforming Growth Factor-β in Cancer Therapy, 1st ed.; Cancer Drug Discovery and Development, Humana Press: New Yrok, NY, USA, 2008; Volume I, pp. 333–354. [Google Scholar]
  73. Cimino, I.; Casoni, F.; Liu, X.; Messina, A.; Parkash, J.; Jamin, S.P.; Catteau-Jonardm, S.; Collierm, F.; Baroncini, M.; Dewailly, D.; et al. Novel role for anti-Müllerian hormone in the regulation of GnRH neuron excitability and hormone secretion. Nat. Commun. 2016, 7, 10055. [Google Scholar] [CrossRef]
  74. Bedecarrats, G.Y.; O’Neill, F.H.; Norwitz, E.R.; Kaiser, U.B.; Teixeira, J. Regulation of gonadotropin gene expression by Müllerian Inhibiting Substance. Proc. Natl Acad. Sci. USA 2003, 100, 9348–9353. [Google Scholar] [CrossRef] [PubMed]
  75. Pieretti-Vanmarcke, R.; Donahoem, P.K.; Szotek, P.; Manganaro, T.; Lorenzen, M.K.; Lorenzen, J.; Connolly, D.C.; Halpern, E.F.; MacLaughlin, D.T. Recombinant human Mullerian inhibiting substance inhibits long-term growth of MIS type II receptor-directed transgenic mouse ovarian cancers in vivo. Clin. Cancer. Res. 2006, 12, 1593–1598. [Google Scholar] [CrossRef]
  76. Liu, L.; Chen, F.; Xiu, A.; Du, B.; Ai, H.; Xie, W. Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical Analysis. Asian Pac. J. Cancer Prev. 2018, 19, 969–975. [Google Scholar]
  77. Chung, Y.J.; Kim, H.J.; Park, S.H.; Yoon, J.H.; Kim, M.R.; Nam, S.W.; MacLaughlin, D.T.; Donahoe, P.K.; Kim, J.H. Transcriptome analysis reveals that Müllerian inhibiting substance regulates signaling pathways that contribute to endometrial carcinogenesis. Int. J. Oncol. 2015, 46, 2039–2046. [Google Scholar] [CrossRef]
  78. Namkung, J.; Song, J.Y.; Jo, H.H.; Kim, M.R.; Lew, Y.O.; Donahoe, P.K.; MacLaughlin, D.T.; Kim, J.H. Mullerian inhibiting substance induces apoptosis of human endometrial stromal cells in endometriosis. J. Clin. Endocrinol. Metab. 2012, 97, 3224–3230. [Google Scholar] [CrossRef] [PubMed]
  79. Ha, T.U.; Segev, D.L.; Barbie, D.; Masiakos, P.T.; Tran, T.T.; Dombkowski, D.; Glander, M.; Clarke, T.R.; Lorenzo, H.K.; Donahoe, P.K.; et al. Mullerian inhibiting substance inhibits ovarian cell growth through an Rb-independent mechanism. J. Biol. Chem. 2000, 275, 37101–37109. [Google Scholar] [CrossRef] [PubMed]
  80. Barbie, T.U.; Barbie, D.A.; MacLaughlin, D.T.; Maheswaran, S.; Donahoe, P.K. Mullerian Inhibiting Substance inhibits cervical cancer cell growth via a pathway involving p130 and p107. Proc. Natl. Acad. Sci. USA 2003, 100, 15601–15606. [Google Scholar] [CrossRef]
  81. Kandoth, C.; Schultz, N.; Cherniack, A.D.; Akbani, R.; Liu, Y.; Shen, H.; Robertson, A.G.; Pashtan, I.; Shen, R.; Benz, C.C.; et al. Integrated genomic characterization of endometrial carcinoma. Cancer Genome Atlas Research Network. Nature 2013, 497, 67–73. [Google Scholar] [CrossRef]
  82. Murali, R.; Soslow, R.A.; Weigelt, B. Classification of endometrial carcinoma: More than two types. Lancet Oncol. 2014, 15, e268–e278. [Google Scholar] [CrossRef]
  83. Segev, D.L.; Hoshiya, Y.; Stephen, A.E.; Hoshiya, M.; Tran, T.T.; MacLaughlin, D.T.; Donahoe, P.K.; Maheswaran, S. Mullerian inhibiting substance regulates NFkappaB signaling and growth of mammary epithelial cells in vivo. J. Biol. Chem. 2001, 276, 26799–26806. [Google Scholar] [CrossRef] [PubMed]
  84. Segev, D.L.; Hoshiya, Y.; Hoshiya, M.; Tran, T.T.; Carey, J.L.; Stephen, A.E.; MacLaughlin, D.T.; Donahoe, P.K.; Maheswaran, S. Mullerian-inhibiting substance regulates NF-kappa B signaling in the prostate in vitro and in vivo. Proc. Natl. Acad. Sci. USA 2002, 99, 239–244. [Google Scholar] [CrossRef] [PubMed]
  85. Feldmann, K.A.; Pittelkow, M.R.; Roche, P.C.; Kumar, R.; Grande, J.P. Expression of an immediate early gene, IEX-1, in human tissues. Histochem. Cell Biol. 2001, 115, 489–497. [Google Scholar] [PubMed]
  86. Wu, M.X.; Ao, Z.; Prasad, K.V.; Wu, R.; Schlossman, S.F. IEX-1L, an apoptosis inhibitor involved in NF-kappaB-mediated cell survival. Science 1998, 281, 998–1001. [Google Scholar] [CrossRef] [PubMed]
  87. Anttonen, M.; Färkkilä, A.; Tauriala, H.; Kauppinen, M.; Maclaughlin, D.T.; Unkila-Kallio, L.; Bützow, R.; Heikinheimo, M. Anti-Müllerian hormone inhibits growth of AMH type II receptor-positive human ovarian granulosa cell tumor cells by activating apoptosis. Lab Investig. 2011, 91, 1605–1614. [Google Scholar] [CrossRef]
  88. Renlund, N.; Pieretti-Vanmarcke, R.; O’Neill, F.H.; Zhang, L.; Donahoe, P.K.; Teixeira, J. c-Jun N-terminal kinase inhibitor II (SP600125) activates Mullerian inhibiting substance type II receptor-mediated signal transduction. Endocrinology 2008, 149, 108–115. [Google Scholar] [CrossRef] [PubMed]
  89. Slamon, D.J.; Leyland-Jones, B.; Shak, S.; Fuchs, H.; Paton, V.; Bajamonde, A.; Fleming, T.; Eiermann, W.; Wolter, J.; Pegram, M. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N. Engl. J. Med. 2001, 344, 783–792. [Google Scholar] [CrossRef] [PubMed]
  90. Geyer, C.E.; Forster, J.; Lindquist, D.; Chan, S.; Romieu, C.G.; Pienkowski, T.; Jagiello-Gruszfeld, A.; Crown, J.; Chan, A.; Kaufman, B. Lapatinib plus capecitabine for HER2-positive advanced breast cancer. N. Engl. J. Med. 2006, 355, 2733–2743. [Google Scholar] [CrossRef]
  91. Nagai, M.A. Pleckstrin homology-like domain, family A, member 1 (PHLDA1) and cancer. Biomed. Rep. 2016, 4, 275–281. [Google Scholar] [CrossRef]
  92. Fearon, A.E.; Carter, E.P.; Clayton, N.S.; Wilkes, E.H.; Baker, A.M.; Kapitonova, E.; Bakhouche, B.A.; Tanner, Y.; Wang, J.; Gadaleta, E.; et al. PHLDA1 Mediates Drug Resistance in Receptor Tyrosine Kinase-Driven. Cell Rep. 2018, 22, 2469–2481. [Google Scholar] [CrossRef]
  93. Neef, R.; Kuske, M.A.; Pröls, E.; Johnson, J.P. Identification of the human PHLDA1/TDAG51 gene: Down-regulation in metastatic melanoma contributes to apoptosis resistance and growth deregulation. Cancer Res. 2002, 62, 5920–5929. [Google Scholar]
  94. Moad, A.I.; Muhammad, T.S.; Oon, C.E.; Tan, M.L. Rapamycin induces apoptosis when autophagy is inhibited in T-47D mammary cells and both processes are regulated by Phlda1. Cell Biochem. Biophys. 2013, 66, 567–587. [Google Scholar] [CrossRef] [PubMed]
  95. Meyer, L.A.; Westin, S.N.; Lu, K.H.; Milam, M.R. Genetic polymorphisms and endometrial cancer risk. Expert Rev. Anticancer Ther. 2008, 8, 1159–1167. [Google Scholar] [CrossRef]
  96. Kang, S.; Kim, J.W.; Park, N.H.; Song, Y.S.; Kang, S.B.; Lee, H.P. Cyclin D1 polymorphism and the risk of endometrial cancer. Gynecol. Oncol. 2005, 97, 431–435. [Google Scholar] [CrossRef]
  97. Milam, M.R.; Gu, J.; Yang, H.; Celestino, J.; Wu, W.; Horwitz, I.B.; Lacour, R.A.; Westin, S.N.; Gershenson, D.M.; Wu, X.; et al. STK15 F31I polymorphism is associated with increased uterine cancer risk: A pilot study. Gynecol. Oncol. 2007, 107, 71–74. [Google Scholar] [CrossRef]
  98. Einarsdottir, K.; Humphreys, K.; Bonnard, C.; Li, Y.; Li, Y.; Chia, K.S.; Liu, E.T.; Hall, P.; Liu, J.; Wedrén, S. Effect of ATM, CHEK2 and ERBB2 TAGSNPs and haplotypes on endometrial cancer risk. Hum. Mol. Genet. 2007, 16, 154–164. [Google Scholar] [CrossRef]
  99. Roh, J.W.; Kim, J.W.; Park, N.H.; Song, Y.S.; Park, I.A.; Park, S.Y.; Kang, S.B.; Lee, H.P. p53 and p21 genetic polymorphisms and susceptibility to endometrial cancer. Gynecol. Oncol. 2004, 93, 499–505. [Google Scholar] [CrossRef] [PubMed]
  100. Bougeard, G.; Baert-Desurmont, S.; Tournier, I.; Vasseur, S.; Martin, C.; Brugieres, L.; Chompret, A.; Bressac-de Paillerets, B.; Stoppa-Lyonnet, D.; Bonaiti-Pellie, C.; et al. Impact of the MDM2 SNP309 and p53 Arg72Pro polymorphism on age of tumour onsetin Li-Fraumeni syndrome. J. Med. Genet. 2006, 43, 531–533. [Google Scholar] [CrossRef]
  101. Chen, J.; Wu, X.; Lin, J.; Levine, A.J. MDM-2 inhibits the G1 arrest and apoptosis functions of the p53 tumor suppressor protein. Mol. Cell Biol. 1996, 16, 2445–2452. [Google Scholar] [CrossRef] [PubMed]
  102. Toledo, F.; Wahl, G.M. Regulating the p53 pathway: In vitro hypotheses, in vivo veritas. Nat. Rev. Cancer 2007, 6, 909–923. [Google Scholar] [CrossRef]
  103. Zhang, J.; Zhang, Y.; Zhang, Z. Association of rs2279744 and rs117039649 promoter polymorphism with the risk of gynecological cancer: A meta-analysis of case-control studies. Medicine (Baltimore) 2018, 97, e9554. [Google Scholar] [CrossRef]
  104. Xue, Z.; Zhu, X.; Teng, Y. Relationship Between Murine Double Minute 2 (MDM2) T309G Polymorphism and Endometrial Cancer Risk: A Meta-Analysis. Med. Sci. Monit. 2016, 22, 3186–3190. [Google Scholar] [CrossRef]
  105. Picard, J.Y.; Benarous, R.; Guerrier, D.; Josso, N.; Kahn, A. Cloning and expression of cDNA for anti-mullerian hormone. Proc. Natl. Acad. Sci. USA 1986, 83, 5464–5468. [Google Scholar] [CrossRef] [PubMed]
  106. Zakrzewski, P. Zaburzenia kaskady transformujących czynników wzrostu typu β w wybranych patologiach człowieka. Folia Med. Lodz. 2012, 39/2, 265–292. [Google Scholar]
  107. Glasgow, E.; Mishra, L. Transforming growth factor-beta signaling and ubiquitinators in cancer. Endocr. Relat. Cancer 2008, 15, 59–72. [Google Scholar] [CrossRef] [PubMed]
  108. Miyazawa, K.; Shinozaki, M.; Hara, T.; Furuya, T.; Miyazono, K. Two major Smad pathways in TGF-beta superfamily signalling. Genes Cells 2002, 7, 1191–1204. [Google Scholar] [CrossRef] [PubMed]
  109. Liao, J.H.; Chen, J.S.; Chai, M.Q.; Zhao, S.; Song, J.G. The involvement of p38 MAPK in transforming growth factor beta1-induced apoptosis in murine hepatocytes. Cell Res. 2001, 11, 89–94. [Google Scholar] [CrossRef] [PubMed]
  110. Papageorgis, P.; Stylianopoulos, T. Role of TGFβ in regulation of the tumor microenvironment and drug delivery (review). Int. J. Oncol. 2015, 46, 933–943. [Google Scholar] [CrossRef]
  111. Blain, S.W.; Massagué, J. Different sensitivity of the transforming growth factor-beta cell cycle arrest pathway to c-Myc and MDM-2. J. Biol. Chem. 2000, 275, 32066–32070. [Google Scholar] [CrossRef]
  112. Sun, P.; Dong, P.; Dai, K.; Hannon, G.J.; Beach, D. p53-independent role of MDM-2 in TGF-β resistance. Science 1998, 282, 2270–2272. [Google Scholar] [CrossRef] [PubMed]
  113. Di Clemente, N.; Josso, N.; Gouédard, L.; Belville, C. Components of the anti-Müllerian hormone signaling pathway in gonads. Mol. Cell. Endocrinol. 2003, 211, 9–14. [Google Scholar] [CrossRef] [PubMed]
  114. Portoso, M.; Cavalli, G. “The Role of RNAi and Noncoding RNAs in Polycomb Mediated Control of Gene Expression and Genomic Programming”. In RNA and the Regulation of Gene Expression: A Hidden Layer of Complexity, 1st ed.; Morris, K.V., Ed.; Caister Academic Press: Norfolk, UK, 2008; pp. 29–44. [Google Scholar]
  115. Blackledge, N.P.; Rose, N.R.; Klose, R.J. Targeting Polycomb systems to regulate gene expression: Modifications to a complex story. Nat. Rev. Mol. Cell Biol. 2015, 16, 643–649. [Google Scholar] [CrossRef] [PubMed]
  116. Schuettengruber, B.; Chourrout, D.; Vervoort, M.; Leblanc, B.; Cavalli, G. Genome regulation by polycomb and trithorax proteins. Cell 2007, 128, 735–745. [Google Scholar] [CrossRef] [PubMed]
  117. Wang, J.; Ai, Z.; Chen, J.; Teng, Y.; Zhu, J. Enhancer of zeste homolog 2 blockade by RNA interference is implicated with inhibited proliferation, invasion and promoted apoptosis in endometrial carcinoma. Oncol. Lett. 2018, 15, 9429–9435. [Google Scholar] [CrossRef] [PubMed]
  118. Viré, E.; Brenner, C.; Deplus, R.; Blanchon, L.; Fraga, M.; Didelot, C.; Morey, L.; Van Eynde, A.; Bernard, D.; Vanderwinden, J.M.; et al. The Polycomb group protein EZH2 directly controls DNA methylation. Nature 2006, 439, 871–874. [Google Scholar] [CrossRef] [PubMed]
  119. Cincin, Z.B.; Kiran, B.; Baran, Y.; Cakmakoglu, B. Hesperidin promotes programmed cell death by downregulation of nongenomic estrogen receptor signalling pathway in endometrial cancer cells. Biomed. Pharmacother. 2018, 103, 336–345. [Google Scholar] [CrossRef] [PubMed]
  120. Cho, J.H.; Lee, J.G.; Yang, Y.I.; Kim, J.H.; Ahn, J.H.; Baek, N.I.; Lee, K.T.; Choi, J.H. Eupatilin, a dietary flavonoid, induces G2/M cell cycle arrest in human endometrial cancer cells. Food Chem. Toxicol. 2011, 49, 1737–1744. [Google Scholar] [CrossRef] [PubMed]
  121. Available online: https://www.who.int/gho/ncd/risk_factors/bmi_text/en/ (accessed on 10 March 2018).
  122. National Collaborating Centre for Women’s and Children’s Health (UK). Diagnosis of perimenopause and menopause. In Menopause: Full Guideline; NICE Guideline No 23; Chard, J., Sarri, G., Eds.; National Institute for Health and Care Excellence: London, UK, 12 November 2015; pp. 49–62. [Google Scholar]
  123. Lott, R.; Tunnicliffe, J.; Sheppard, E.; Santiago, J.; Hladik, C.; Nasim, M.; Zeitner, K.; Haas, T.; Kohl, S.; Movahedi-Lankarani, S. Practical Guide to Specimen Handling in Surgical Pathology; College of American Pathologists (CAP): Northfield, IL, USA, November 2015; pp. 24–52. [Google Scholar]
  124. Remmele, W.; Stegner, H.E. Recommendation for uniform definition of an immunoreactive Score (IRS) for immunohistochemical estrogen receptor detection (ER-ICA) in breast cancer tissue. Pathologe 1987, 8, 138–140. [Google Scholar] [PubMed]
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Figure 1. A representative example (20× magnification) of the immunohistochemistry (IHC) reaction: (a) well-differentiated (G1) endometrioid carcinoma showing focal but intense positive, membranous staining with AMH; (b) clear cell carcinoma showing few scattered anti-Müllerian hormone (AMH) positive cells with low intensity of staining. (c) AMH negative staining of well-differentiated (G1) endometrioid carcinoma; (d) well differentiated (G1) endometrioid carcinoma showing few scattered AMH positive cells with moderate intensity of staining.
Figure 1. A representative example (20× magnification) of the immunohistochemistry (IHC) reaction: (a) well-differentiated (G1) endometrioid carcinoma showing focal but intense positive, membranous staining with AMH; (b) clear cell carcinoma showing few scattered anti-Müllerian hormone (AMH) positive cells with low intensity of staining. (c) AMH negative staining of well-differentiated (G1) endometrioid carcinoma; (d) well differentiated (G1) endometrioid carcinoma showing few scattered AMH positive cells with moderate intensity of staining.
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Figure 2. Mean AMH expression in: (a) different types of endometrial lesion (description of histopathological groups: NH—nonatypical hyperplasia, AH—atypical hyperplasia, G1—well differentiated endometroid adenocarcinoma, G2—moderately differentiated endometrioid adenocarcinoma, G3—poorly differentiated endometrioid adenocarcinoma, SA—serous adenocarcinoma, CCA—clear cell adenocarcioma, MA—mixed adenocarcinoma in Table 1) (Kruskal–Wallis ANOVA, H (7, N = 232) = 20.636, p = 0.004); (b) in different clinical stages of endometrial cancer according to FIGO (International Federation of Gynecology and Obstetrics) 0—carcinoma in situ, IA —carcinoma limited to the inner lining of the uterus, IB—invasion less than half of the myometrium, IC—invasion equal to or more than half of the myometrium, IIA—invasion of the cervical glands, IIB —invasion of the cervical stroma, IIIA—involvement of the serosa or adnexa or both, IIIB—vaginal and/or parametrial involvement, IIIC—pelvic and/or paraaortic lymph node involvement IVA—Tumor invades bladder mucosa and/or bowel mucosa, IVB—Distant metastases (Kruskal–Wallis ANOVA, H (9, N = 231) = 12.819, p = 0.171); (c) group of patients without and with diabetes mellitus type 2 (Mann–Whitney U test, AMH: Z = 0.019, p = 0.985); (d) group of patients that used hormone replacement therapy (Wald–Wolfowitz runs test, Z = 2.240, p = 0.025). IRS—immunoreactive score of Remmele and Stegner; c.l.—confident limits.
Figure 2. Mean AMH expression in: (a) different types of endometrial lesion (description of histopathological groups: NH—nonatypical hyperplasia, AH—atypical hyperplasia, G1—well differentiated endometroid adenocarcinoma, G2—moderately differentiated endometrioid adenocarcinoma, G3—poorly differentiated endometrioid adenocarcinoma, SA—serous adenocarcinoma, CCA—clear cell adenocarcioma, MA—mixed adenocarcinoma in Table 1) (Kruskal–Wallis ANOVA, H (7, N = 232) = 20.636, p = 0.004); (b) in different clinical stages of endometrial cancer according to FIGO (International Federation of Gynecology and Obstetrics) 0—carcinoma in situ, IA —carcinoma limited to the inner lining of the uterus, IB—invasion less than half of the myometrium, IC—invasion equal to or more than half of the myometrium, IIA—invasion of the cervical glands, IIB —invasion of the cervical stroma, IIIA—involvement of the serosa or adnexa or both, IIIB—vaginal and/or parametrial involvement, IIIC—pelvic and/or paraaortic lymph node involvement IVA—Tumor invades bladder mucosa and/or bowel mucosa, IVB—Distant metastases (Kruskal–Wallis ANOVA, H (9, N = 231) = 12.819, p = 0.171); (c) group of patients without and with diabetes mellitus type 2 (Mann–Whitney U test, AMH: Z = 0.019, p = 0.985); (d) group of patients that used hormone replacement therapy (Wald–Wolfowitz runs test, Z = 2.240, p = 0.025). IRS—immunoreactive score of Remmele and Stegner; c.l.—confident limits.
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Figure 3. Mean AMH expression: (a) in premenopausal (p), perimenopausal (o) and postmenopausal (m) women (Kruskal–Wallis ANOVA: H (2, N = 231) = 3.117, p = 0.210); (b) in the group of women that menstruated less than 40 years or more than 40 years (Mann–Whitney U test: Z = 1.854, p = 0.064); (c) in the group of patients without and with arterial hypertension (Mann–Whitney U test: Z = 1.880, p = 0.06); (d) depending on the number of births (rs = 0.021, n = 232, p = 0.077).
Figure 3. Mean AMH expression: (a) in premenopausal (p), perimenopausal (o) and postmenopausal (m) women (Kruskal–Wallis ANOVA: H (2, N = 231) = 3.117, p = 0.210); (b) in the group of women that menstruated less than 40 years or more than 40 years (Mann–Whitney U test: Z = 1.854, p = 0.064); (c) in the group of patients without and with arterial hypertension (Mann–Whitney U test: Z = 1.880, p = 0.06); (d) depending on the number of births (rs = 0.021, n = 232, p = 0.077).
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Figure 4. Mean AMH expression due to: (a) the weight of newborn (s) (rs = −0.054, n = 207, p = 0.440); (b) age of the patient (rs = −0.116, n = 232, p = 0.077); (c) mean breastfeeding time (rs = −0.163, n = 229, p = 0.014); (d) total breastfeeding time (rs = −0.134, n = 229, p = 0.042).
Figure 4. Mean AMH expression due to: (a) the weight of newborn (s) (rs = −0.054, n = 207, p = 0.440); (b) age of the patient (rs = −0.116, n = 232, p = 0.077); (c) mean breastfeeding time (rs = −0.163, n = 229, p = 0.014); (d) total breastfeeding time (rs = −0.134, n = 229, p = 0.042).
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Table
Table 1. Summary of histopathological type of endometrial lesion, number of patients in each group and mean, minimal and maximal values of AMH expression (F-test with Greenhouse-Geisser correction, ἐ = 0.714, p = 0.501).
Table 1. Summary of histopathological type of endometrial lesion, number of patients in each group and mean, minimal and maximal values of AMH expression (F-test with Greenhouse-Geisser correction, ἐ = 0.714, p = 0.501).
Histopathological Type of Endometrial LesionNumber of Patients in Each GroupNumber of Patients with Positive AMH ExpressionMean Value of AMH ExpressionMinimal AMH ExpressionMaximal AMH ExpressionSD
Nonatypical endometrial hyperplasia (NH)822.170.334.02.593
Atypical hyperplasia (AH)40----
Endometroid adenocarcinoma G1 (G1)4931.781.03.01.072
Endometroid adenocarcinoma G2 (G2)147151.330.672.330.590
Endometroid adenocarcinoma G3 (G3)60----
Serous adenocarcinoma (SA)80----
Clear cell adenocarcinoma (CCA)532.01.332.670.667
Mixed adenocarcinoma (MA)50----
Table
Table 2. Model of relations between the AMH protein expression (modeled probability = 1) and studied variables; the best flitted model using the AIC (Akaike information criterion) (AIC = −128.102; df = 9; χ2 = 27.795; p = 0.001).
Table 2. Model of relations between the AMH protein expression (modeled probability = 1) and studied variables; the best flitted model using the AIC (Akaike information criterion) (AIC = −128.102; df = 9; χ2 = 27.795; p = 0.001).
VariabledfMax. Likelihoodχ2p
Average breastfeeding time (continuous variable)1−58.1828.2620.004
Cancer type (NH, G1, G2, G3, SA, CCA, MA)6−63.12218.1420.006
Menstrual year (0—below 40; 1—40 and more) 1−56.0624.0220.045
Table
Table 3. Parameters of the best fitted model of modelled probability of AMH protein expression and studied variables; model reduced to the all significant levels of independent variables. c.l.—confident limits. a—intercept (point where the regression line crosses the axis).
Table 3. Parameters of the best fitted model of modelled probability of AMH protein expression and studied variables; model reduced to the all significant levels of independent variables. c.l.—confident limits. a—intercept (point where the regression line crosses the axis).
VariableLevel of VariableParameter ± SELower 95.0% c.l.Upper 95.0% c.l.Wald Functionp
a −11.274 ± 0.859−9.590−12.958172.1740.000
Average breastfeeding timecontinuous0.091 ± 0.0320.1540.0287.9360.005
Type of cancerG28.417 ± 0.92510.2306.60482.7940.000
G18.125 ± 1.05110.1866.06559.7440.000
CCA12.038 ± 1.44514.8709.20569.3620.000
Menstrual year0—below 40−0.555 ± 0.273−0.019−1.0904.1250.042
Table
Table 4. Number of patients with different histopathological types of endometrial lesions.
Table 4. Number of patients with different histopathological types of endometrial lesions.
Histopathological Type of Endometrial lesionNumber of Patients
Nonatypical endometrial hyperplasia8
Atypical hyperplasia4
Endometrioid adenocarcinoma G149
Endometrioid adenocarcinoma G2147
Endometrioid adenocarcinoma G36
Serous adenocarcinoma8
Clear cell adenocarcinoma5
Mixed adenocarcinoma5
Table
Table 5. Remmele and Stegner score: the percentage of positive cells (A) and the intensity of color reaction (B). The final score represents the result of these parameters (A × B)/semi-quantitative immunoreactive score (IRS) of Remmele and Stegner. pt—point, pts—points.
Table 5. Remmele and Stegner score: the percentage of positive cells (A) and the intensity of color reaction (B). The final score represents the result of these parameters (A × B)/semi-quantitative immunoreactive score (IRS) of Remmele and Stegner. pt—point, pts—points.
AB
0 pts—no cells with positive reaction0 pts—no staining
1 pt—<10% cells with positive reaction1 pt—low intensity of staining
2 pts—11%–50% cells with positive reaction2 pts—moderate intensity of staining
3 pts—51%–80% cells with positive reaction3 pts—intense staining
4 pts—>80% cells with positive reaction

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Gowkielewicz, M.; Lipka, A.; Piotrowska, A.; Szadurska-Noga, M.; Nowakowski, J.J.; Dzięgiel, P.; Majewski, M.K.; Jozwik, M.; Majewska, M. Anti-Müllerian Hormone Expression in Endometrial Cancer Tissue. Int. J. Mol. Sci. 2019, 20, 1325. https://doi.org/10.3390/ijms20061325

AMA Style

Gowkielewicz M, Lipka A, Piotrowska A, Szadurska-Noga M, Nowakowski JJ, Dzięgiel P, Majewski MK, Jozwik M, Majewska M. Anti-Müllerian Hormone Expression in Endometrial Cancer Tissue. International Journal of Molecular Sciences. 2019; 20(6):1325. https://doi.org/10.3390/ijms20061325

Chicago/Turabian Style

Gowkielewicz, Marek, Aleksandra Lipka, Aleksandra Piotrowska, Marta Szadurska-Noga, Jacek J. Nowakowski, Piotr Dzięgiel, Mariusz Krzysztof Majewski, Marcin Jozwik, and Marta Majewska. 2019. "Anti-Müllerian Hormone Expression in Endometrial Cancer Tissue" International Journal of Molecular Sciences 20, no. 6: 1325. https://doi.org/10.3390/ijms20061325

APA Style

Gowkielewicz, M., Lipka, A., Piotrowska, A., Szadurska-Noga, M., Nowakowski, J. J., Dzięgiel, P., Majewski, M. K., Jozwik, M., & Majewska, M. (2019). Anti-Müllerian Hormone Expression in Endometrial Cancer Tissue. International Journal of Molecular Sciences, 20(6), 1325. https://doi.org/10.3390/ijms20061325

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